The Health Sector Cybersecurity Coordination Center (HC3) of the U.S. Department of Health & Human Services (HHS) released a threat actor profile on Scattered Spider, a financially motivated group active since at least 2022.

HC3 warns of Scattered Spider hackers leveraging AI, social engineering to infiltrate healthcare, other sectors - Industrial Cyber

Kaseya has released its 2024 Cybersecurity Survey, revealing that IT professionals view user behavior as a major challenge in safeguarding systems. The “Navigating the New Frontier of Cyber Challenges” survey identifies human error as a critical vulnerability, with 89% of respondents citing ...

Human error still biggest vulnerability says Cybersecurity Survey | IT Europa

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Human error is the weakest link in the cyber security chain. Here are 3 ways to fix it

According to Science Alert, an image captured by the Perseverance rover in the course of its duties is one of the grisliest yet: it looks, for all the world, like a desiccated, decaying human head, severed from any body, just withering away under the harsh light of the Sun.

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Madrid, Spain, October 17th, 2024, Chainwire – Web3 companies have faced profitability challenges, worsened by scandals and media stigmatization, leading to a decline in investor trust. Many recognize the need to rebuild confidence and see the importance of cultivating engaged, trustworthy ...

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We can just... wait a second · As venerated mathematician Dr. Ian Malcolm once said, “life finds a way.” That’s shockingly true. Some version of life on Earth has lasted through heat waves, ice ages, meteorite impacts, mass extinctions… the list goes on. And so does life

Scientists Have Figured Out How to Hit the “Pause Button” on Human Life

Human risk is a massive concern in cybersecurity. Here's what has changed over the last decade and why the situation deserves priority.

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/PRNewswire/ -- Tencent Cloud, the cloud business of the global leading technology company Tencent, has announced a strategic partnership with the S.M.A.R.T...

Tencent Cloud Partners with S.M.A.R.T Entrepreneurship Club to build smart businesses with AI Digital Human solution

Human

human

AI’s ability to mimic human behavior, emotional intelligence, creativity, and morality while exploring the future of artificial intelligence Artificial intelligence, especially that afforded by ChatGPT, has changed our manner of dealing with machines. AI now puts us in a state of conversation, learns from us, and even attempts to understand the context behind the questions we ask. However, the significant issue that people keep asking is whether ChatGPT can be trained to become human. At the core of AIs like ChatGPT is a neural network, a complex web of algorithms meant to mimic the functioning of the human brain. The algorithms learn about patterns, make predictions, and improve over time through a process known as machine learning. However, there is quite a gap between teaching patterns and being human. But being human isn’t just about patterns or predictions and it is about emotions, experience, understanding of culture, making moral judgments, and the ability for truly original creativity. Interacting with AI today may often generate human-like responses that are interesting and even insightful at times. Yet, what generates those responses — patterns found in large datasets, not quite the sort of personal contemplation or emotive depth carried into every encounter by humans. To answer if ChatGPT can be trained to be human, we must consider what exactly it means for something to be human. For this argument, let’s break it down into several such components: emotional intelligence, creativity, morality, memory, and learning from experiences. Some of these are important facets of human behavior and cognition. Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree? Emotional Intelligence Emotional intelligence is the ability to sense how others feel and manage one’s own emotions. Our words usually carry emotional intensity from subtle sarcasm to overt anger or happiness. Humans use tone, context, and body language to communicate and interpret emotions. ChatGPT will simulate aspects of emotional intelligence because it can generate text that carries an emotional flavor for a conversation. If you express frustration, then it produces a response that would appear empathetic; if you are ebullient, it can echo some lighthearted repartee. Does this mean it “knows” or understands emotions? No. Instead, what ChatGPT does is recognize patterns in language as they reflect emotion, but it does not feel emotions. It doesn’t have the physiological and psychological mechanisms that underlie human emotion. Training ChatGPT to “be human” in this way would take more than feeding it datasets on emotional expression. It would rather require an architecture that allowed for some authentic experiences of emotions — that is, something beyond the scope of current developments in AI. Even if we can, in some way, simulate emotional reactions in AI, they will still be fundamentally different from human emotions, which are tied closely with consciousness, biology, and experience. Creativity Creativity- the mark of human intelligence: the ability to come up with new ideas, solve problems in innovative ways, and create art that vibrates at a deeply emotional or intellectual level. Is ChatGPT creative? In this respect, yes. ChatGPT can write, for instance, poems, short stories, code- whatever you want it to do. All the same, this creativity is based on the pattern rather than on actual thinking outside of the box that may reflect human creativity. Some of the most creative solutions or artistic expressions are often born out of personal experience, emotional ups and downs, moments of inspiration, those things that cannot easily be expressed and replicated in an algorithm. Although AI can generate creative content, it remains without experiential or emotional depth to inform human creativity. This means it offers content based on learned patterns rather than any personal experience or emotional journey. That is the main point of explaining why, despite impressive outputs, ChatGPT is fundamentally different from a human mind. Morality The other very important element of being human is morality, for which decisions are generally guided by the moral compass of and through upbringing, culture, experiences, and societal norms. More often than not, humans struggle with conflicting values, weigh the consequences of their deeds, and sometimes, change their beliefs over time. Could ChatGPT make moral decisions? Not at all. While it may be able to be programmed to adhere to certain guidelines of morality or avoid harmful content, its understanding of morality is superficial. It does not possess personal values or understand right and wrong in the way humans do. Instead, it responds based on patterns in data that often simply mimic moral reasoning without truly engaging in the complex, human process of ethical decision-making. It is a huge task to train ChatGPT to be human in this regard since even humans are unable to accept one sense of moral principle. Morality also relates to consciousness, which AI lacks. Though AI systems can follow rules, they are not able to understand the sense of moral dilemmas that define human experience. Memory and Experience Humans are a product of their memories and experiences. Every conversation, every relationship, and triumph and every failure leave an impression on who we are and how we approach the world. AI does not have any kind of real memory of past interactions unless it has been explicitly programmed to retain specific data. Each interaction with ChatGPT is unique, and while it can process historical data, it doesn’t “remember” interactions the same way a human does. It would give this form so that ChatGPT can learn through experiences, creating a sense of identity and personal history over time. Now, it does not necessarily imply that it should remember anything but interpret it to affect the subsequent actions; the same way humans do in life, growing and changing according to their past. Current AI models, including ChatGPT, do not have this ability. Though they might learn from big datasets, they lack personal experiences and do not change according to individual interaction. Because of this, for ChatGPT to be closer to “being human,” it requires something more than the capability to store and accumulate information but must also develop the capability to reflect on that same information and to change in meaningful ways relative to past experiences. Learning by Experience Human intelligence is reinforced by the ability to reflect upon mistakes and utilize those as learning experiences. We sometimes reflect on our actions, question our decisions, and make alterations in behavior based on our experiences. ChatGPT, though, can be trained through machine learning models, though it learns very differently compared to humans. Improvement of AI in machine learning is through wide training on various datasets and adjustment of weights and biases for better outcomes. However, the methodology itself is not like that of human learning based on trial and error and is contextual, emotionally and socially tuned, and based on personal experience and interactions with other humans. In contrast, the learning process of ChatGPT is abstract and data-driven. While AI may learn to make improvements in its responses, it is without a human ability to reflect on itself. Human learning isn’t just adding new information, but building that new information off of what we already know and thinking about what the implications are. Sometimes, what we learn is questioned. ChatGPT learns to do this task better at getting statistically likely responses without any understanding or reflection about what it is learning. The Future of AI So, can ChatGPT be made human? Currently, as of the technology, the answer is no. In full, that is. While still able to mimic and even generate human-like conversations, produce creative content, and maintain adherence to all sorts of ethical directives, AI continues to lack depth, consciousness, and emotional complexities of what it means to be human. However, the future of AI is no longer so static. Researchers are more and more pushing the frontiers of what could be done with AI: find new approaches to making machines more intelligent, adaptive, and even emotionally intelligent. Some believe that with domains such as neuro-symbolic AI-machine learning coupled with symbolic reasoning or even quantum computation, we may eventually build one day the essence of human-like cognition in an AI. But yet, all of this raises a basic question: Do we want AI to be human? The development of machines that could think and feel like humans raises profound questions in the realms of ethics and philosophy. Where do we draw that line between the machine and the person if AI becomes too human?
Should AI have rights when it can feel? These are questions that society will have to grapple with as AI continues its evolution. AI’s ability to mimic human behavior, emotional intelligence, creativity, and morality while exploring the future of artificial intelligence Artificial intelligence, especially that afforded by ChatGPT, has changed our manner of dealing with machines. AI now puts us in a state of conversation, learns from us, and even attempts to understand the context behind the questions we ask. However, the significant issue that people keep asking is whether ChatGPT can be trained to become human. However, the significant issue that people keep asking is whether ChatGPT can be trained to become human. However, the significant issue that people keep asking is whether ChatGPT can be trained to become human. At the core of AIs like ChatGPT is a neural network, a complex web of algorithms meant to mimic the functioning of the human brain. The algorithms learn about patterns, make predictions, and improve over time through a process known as machine learning. However, there is quite a gap between teaching patterns and being human. But being human isn’t just about patterns or predictions and it is about emotions, experience, understanding of culture, making moral judgments, and the ability for truly original creativity. Interacting with AI today may often generate human-like responses that are interesting and even insightful at times. Yet, what generates those responses — patterns found in large datasets, not quite the sort of personal contemplation or emotive depth carried into every encounter by humans. To answer if ChatGPT can be trained to be human, we must consider what exactly it means for something to be human. For this argument, let’s break it down into several such components: emotional intelligence, creativity, morality, memory, and learning from experiences. Some of these are important facets of human behavior and cognition. Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree? Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree? Can AI, particularly ChatGPT, ever be imbued with these so that we consider the AI “human” to that degree? Emotional Intelligence Emotional intelligence is the ability to sense how others feel and manage one’s own emotions. Our words usually carry emotional intensity from subtle sarcasm to overt anger or happiness. Humans use tone, context, and body language to communicate and interpret emotions. ChatGPT will simulate aspects of emotional intelligence because it can generate text that carries an emotional flavor for a conversation. If you express frustration, then it produces a response that would appear empathetic; if you are ebullient, it can echo some lighthearted repartee. Does this mean it “knows” or understands emotions? No. Instead, what ChatGPT does is recognize patterns in language as they reflect emotion, but it does not feel emotions. It doesn’t have the physiological and psychological mechanisms that underlie human emotion. Training ChatGPT to “be human” in this way would take more than feeding it datasets on emotional expression. It would rather require an architecture that allowed for some authentic experiences of emotions — that is, something beyond the scope of current developments in AI. Even if we can, in some way, simulate emotional reactions in AI, they will still be fundamentally different from human emotions, which are tied closely with consciousness, biology, and experience. Creativity Creativity- the mark of human intelligence: the ability to come up with new ideas, solve problems in innovative ways, and create art that vibrates at a deeply emotional or intellectual level. Is ChatGPT creative? In this respect, yes. ChatGPT can write, for instance, poems, short stories, code- whatever you want it to do. All the same, this creativity is based on the pattern rather than on actual thinking outside of the box that may reflect human creativity. Some of the most creative solutions or artistic expressions are often born out of personal experience, emotional ups and downs, moments of inspiration, those things that cannot easily be expressed and replicated in an algorithm. Although AI can generate creative content, it remains without experiential or emotional depth to inform human creativity. This means it offers content based on learned patterns rather than any personal experience or emotional journey. That is the main point of explaining why, despite impressive outputs, ChatGPT is fundamentally different from a human mind. Morality The other very important element of being human is morality, for which decisions are generally guided by the moral compass of and through upbringing, culture, experiences, and societal norms. More often than not, humans struggle with conflicting values, weigh the consequences of their deeds, and sometimes, change their beliefs over time. Could ChatGPT make moral decisions? Not at all. While it may be able to be programmed to adhere to certain guidelines of morality or avoid harmful content, its understanding of morality is superficial. It does not possess personal values or understand right and wrong in the way humans do. Instead, it responds based on patterns in data that often simply mimic moral reasoning without truly engaging in the complex, human process of ethical decision-making. It is a huge task to train ChatGPT to be human in this regard since even humans are unable to accept one sense of moral principle. Morality also relates to consciousness, which AI lacks. Though AI systems can follow rules, they are not able to understand the sense of moral dilemmas that define human experience. Memory and Experience Humans are a product of their memories and experiences. Every conversation, every relationship, and triumph and every failure leave an impression on who we are and how we approach the world. AI does not have any kind of real memory of past interactions unless it has been explicitly programmed to retain specific data. Each interaction with ChatGPT is unique, and while it can process historical data, it doesn’t “remember” interactions the same way a human does. It would give this form so that ChatGPT can learn through experiences, creating a sense of identity and personal history over time. Now, it does not necessarily imply that it should remember anything but interpret it to affect the subsequent actions; the same way humans do in life, growing and changing according to their past. Current AI models, including ChatGPT, do not have this ability. Though they might learn from big datasets, they lack personal experiences and do not change according to individual interaction. Because of this, for ChatGPT to be closer to “being human,” it requires something more than the capability to store and accumulate information but must also develop the capability to reflect on that same information and to change in meaningful ways relative to past experiences. Learning by Experience Human intelligence is reinforced by the ability to reflect upon mistakes and utilize those as learning experiences. We sometimes reflect on our actions, question our decisions, and make alterations in behavior based on our experiences. ChatGPT, though, can be trained through machine learning models, though it learns very differently compared to humans. Improvement of AI in machine learning is through wide training on various datasets and adjustment of weights and biases for better outcomes. However, the methodology itself is not like that of human learning based on trial and error and is contextual, emotionally and socially tuned, and based on personal experience and interactions with other humans. In contrast, the learning process of ChatGPT is abstract and data-driven. While AI may learn to make improvements in its responses, it is without a human ability to reflect on itself. Human learning isn’t just adding new information, but building that new information off of what we already know and thinking about what the implications are. Sometimes, what we learn is questioned. ChatGPT learns to do this task better at getting statistically likely responses without any understanding or reflection about what it is learning. The Future of AI So, can ChatGPT be made human? Currently, as of the technology, the answer is no. So, can ChatGPT be made human? Currently, as of the technology, the answer is no. So, can ChatGPT be made human? Currently, as of the technology, the answer is no. In full, that is. While still able to mimic and even generate human-like conversations, produce creative content, and maintain adherence to all sorts of ethical directives, AI continues to lack depth, consciousness, and emotional complexities of what it means to be human. However, the future of AI is no longer so static. Researchers are more and more pushing the frontiers of what could be done with AI: find new approaches to making machines more intelligent, adaptive, and even emotionally intelligent. Some believe that with domains such as neuro-symbolic AI-machine learning coupled with symbolic reasoning or even quantum computation, we may eventually build one day the essence of human-like cognition in an AI. But yet, all of this raises a basic question: Do we want AI to be human? The development of machines that could think and feel like humans raises profound questions in the realms of ethics and philosophy. Where do we draw that line between the machine and the person if AI becomes too human? Should AI have rights when it can feel? Where do we draw that line between the machine and the person if AI becomes too human? Should AI have rights when it can feel? These are questions that society will have to grapple with as AI continues its evolution.

Can We Train AI to Become More Human-Like?

Humans have proved to be not only biologically complex creatures, but also one with uncanny, complex intellectual capabilities; they have successfully created robots after their own likeness. Robots now do repetitive work in which human labor becomes too costly and ineffective to justify. In fact, there is hope that these robots will surpass many human limitations–many of which have already been met. To researchers in the extensive field of robotics development – the speed, accuracy and intelligence these robots currently exhibit are monumental achievements – while to others who have a modicum of knowledge of robots, these exhibitions by robots are cause for concern. They worry, like Polish playwright Karel Capek painted in his play “ ”, that robots will eventually displace humans from their jobs, or worse still, like presented in “Terminator” series, that robots might become future overlords and go to war with humans. Rossum’s Universal Robots How much human abilities are robots able to exhibit? To a large extent, contemporary robots have replicated human dexterity, perception and intelligence. For example, , a robot developed at the Massachusetts Institute of Technology, owing to sophisticated hardware and high-level programming, works like the human nervous system, which consists of both voluntary and involuntary functionality. , a robotic avatar developed by Toyota, mimics the movement of its human operator, and will be able to perform surgeries in the future while being controlled from another world by a doctor. , an AI-powered humanoid robot, talks, draws, sings and shows some emotions–and , another AI-powered humanoid robot, mimics human-like facial expressions. Despite all these, robots are yet to perform tasks in which complex, rigorous human intellectual capabilities are required. This is a consequence of the fact that researchers in the field of robotics development have not understood the intricacies of human intelligence. Kismet T-HR3 Sophia Ameca Why do robots lack unique human intellectual abilities? What is known is that manifests in the elaborate and interconnected networks of neurons within the human brain and is a function of learning and experience. Neurons in the human brain form electrical connections with one another, but it is rather unclear how they collectively cultivate brain activities like thinking and reasoning. Consequently, researchers in robotics development have been unable to download into robots this wondrous human intelligence–and hence robots lack the intellectual independence that they will need to beat humans at their own game. Furthermore, robots are biologically limited in their make-up and do not have the natural power-house like in humans–therefore, availability of power for use will continue to limit the functionality of even the most sophisticated robot for quite a long time. human intelligence Moreover, the human sensory system–vision, hearing, touch, smell and taste–are naturally complex. However, they are somehow being implemented into robots through elegant technology. For instance, robots like Ameca and Sophia are already doing well at responding to these human senses, but their ability therein is still considered to be in a nascent stage like that of a newborn baby that lacks the experience to understand what it senses. The recognition of sound, for instance, by a robot is intricately dependent on the extent of its “lexicon”, where the sound is compared among similar sound waves–and the lexicon does not expand unless through high-level programming, which needs to be carried out regularly. Besides, robots lack empathy, which is the ability to understand and share the feelings of another–and it has been established that empathy is a powerful driver of many human decisions and actions. In essence, robots can replicate emotions but cannot feel them; they can show sadness but do not feel sad. What are the jobs robots cannot do because of lack of unique human intellectual abilities? Robots are unable to undertake tasks in which special human intellectual capabilities are needed. who has not only medical education, but also the experience in prescribing medicines, applying operation techniques, and using medical apparatus. Robots cannot perform scientific analysis at particularly complex levels that usually bring about novel epiphany that engenders scientific discoveries; although they can be employed to do certain tasks, robots cannot be depended on for new ways of completing those tasks. Robots lack emotions and hence are useless in creative writing, which is a work of feelings and emotions brought on paper through words; they can only write what humans instruct them. Robots cannot teach like humans because they lack the understanding power to engage in interactive exchange as demonstrated between a teacher and the students; a teacher understands the teaching materials as well as the students on an individual level. Robots cannot perform the duties of a doctor Conclusion Robots have done exceedingly very well in performing jobs humans considered drudgery, in which health risks and hazards are high and human labor is mostly costly. They have allowed humans to improve on their living standard and become more precise and accurate in carrying out their jobs, especially those that are done casually that do not need intellectual capabilities but precision and accuracy. This is because robots are currently as intelligent as to only follow rigidly and precisely the instructions laid down for them by humans. Therefore, they have enabled humans to upgrade their skills and go for those jobs that maximize their capabilities. Although robots are seemingly intelligent–especially when considering the speed and accuracy with which they perform tasks–they are not any more intelligent than the human that controls them. If ever they have any intelligence of their own at all, it is still not up to that of a housefly. advanced intellectual

The Lack of Unique Human Abilities in Robots

1. HackerNoon: What is your company in 2–5 words? Aaron Lee: We offer AI-driven call & chat answering to SMB. 2. Why is now the time for your company to exist? Providing real time 24/7 customer engagement, lead qualification and conversion has been the biggest pain point for SMB as they don’t have the time nor the resources to do it. Traditional call answering services can only handle simple tasks like take a message and gather contact information. With advancements in technology, particularly AI and automation, Smith.ai evolved to leverage AI to answer calls and chat with human-in-the-loop for escalation, expanding services to integrate with CRMs, provide scheduling assistance, payment collection, and deliver enhanced customer support tailored for businesses of all sizes, especially SMBs. 3. What do you love about your team, and why are you the ones to solve this problem? AI is fast moving but at the current stage, we don’t believe it can handle 100% of the calls and chats as human conversation is nuanced and complicated. Humans can easily detect caller’s emotion but it’s challenging if AI only looks at the transcription, e.g. “That’s great” could be either positive or sarcastic. We believe having a group of highly trained agents + highly tuned AI based on each individual business (think about it as Voice GPT for your business) is the best way to achieve the business outcomes: converting callers to customers. My background is in software engineering, computer graphics with GPU and was the former CTO of The Home Depot which allowed me to work with SMB on a daily basis for years. Our team is unique as we have AI expertise, deep domain knowledge, as well as huge appreciation to the pain points that SMB are facing. 4. If you weren’t building your startup, what would you be doing? I am very excited about entrepreneurship, helping other startups succeed, and have been angel investing for a long time as a side hobby. I probably would be more active in early stage investments if I wasn’t building my startup. 5. At the moment, how do you measure success? What are your metrics? We track customer engagement (number inbound/outbound calls or chats) as one of the core KPIs. Another metric we track is Quality, we treat any internal/external complaint/mistake/expectation mismatch as a concern, basically anything that is not satisfactory to our team or clients would be counted as one and we have been able to maintain a 99.7% correctness for a very long time. This metric has a direct correlation to our churn which is extremely low, which drives the flywheel of great reviews https://www.trustpilot.com/review/smith.ai and more referrals. 6. In a few sentences, what do you offer to whom? Smith.ai provides AI-driven virtual receptionist services, including call and chat answering, tailored for small and medium-sized businesses (SMBs). Our offerings encompass 24/7 live virtual receptionists, AI voice assistants, outreach campaigns, and AI-powered web chat, all designed to enhance customer engagement and support. We serve a wide range of industries, including law firms, home services, marketing agencies, medical and wellness, and many more. 7. What’s most exciting about your traction to date? The most exciting thing about Smith.ai is we have answered tens of millions of calls and chats with extremely high accuracy and satisfaction (99.7%). The most important thing is we help our SMB clients grow by converting callers to customers with the latest AI technologies which is impossible if they were to implement on their own. 8. Where do you think your growth will be next year? Given the uncertainty in inflation and macroeconomics, we believe the trend of doing more with less by leveraging AI and outsourcing will remain front and center for our clients. The fact that we can drive instant satisfaction and revenue growth at a much lower cost would be a huge tailwind for our exponential growth next year. 9. Tell us about your first paying customer and revenue expectations over the next year. We started the company back in October 2015 and I am excited to say that the majority of them are still with us today and have increased their spend with us 10X. We recently launched our AI-first Voice Assistant and it’s a total game changer. One client said “whoever put this together is a bloody genius.” - this is the magical moment when the product is so good that wows our clients. We believe we will have a significant jump in revenue next year as we continue to deploy this technology to 30M SMB in the US. 10. What’s your biggest threat? Our biggest threat is really execution. The market is huge and demand is clear. We have clients asking us for new features on a daily basis and it’s up to us to push the envelope of AI with humans fast enough to meet their needs. Our assessment of the current AI capabilities is that they may struggle with nuanced and complex conversations, especially in emotional or context-heavy interactions. We believe our hybrid human-AI approach is the best in order to bridge the gap. For appointment booking or sales conversion, we believe human touch offers the best business outcome. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. Would you like to take a stab at answering some of these questions? The link for the template is HERE. 1. HackerNoon : What is your company in 2–5 words? HackerNoon Aaron Lee : We offer AI-driven call & chat answering to SMB. Aaron Lee Aaron Lee 2. Why is now the time for your company to exist? Providing real time 24/7 customer engagement, lead qualification and conversion has been the biggest pain point for SMB as they don’t have the time nor the resources to do it. Traditional call answering services can only handle simple tasks like take a message and gather contact information. With advancements in technology, particularly AI and automation, Smith.ai evolved to leverage AI to answer calls and chat with human-in-the-loop for escalation, expanding services to integrate with CRMs, provide scheduling assistance, payment collection, and deliver enhanced customer support tailored for businesses of all sizes, especially SMBs. Smith.ai 3. What do you love about your team, and why are you the ones to solve this problem? AI is fast moving but at the current stage, we don’t believe it can handle 100% of the calls and chats as human conversation is nuanced and complicated. Humans can easily detect caller’s emotion but it’s challenging if AI only looks at the transcription, e.g. “That’s great” could be either positive or sarcastic. We believe having a group of highly trained agents + highly tuned AI based on each individual business (think about it as Voice GPT for your business) is the best way to achieve the business outcomes: converting callers to customers. My background is in software engineering, computer graphics with GPU and was the former CTO of The Home Depot which allowed me to work with SMB on a daily basis for years. Our team is unique as we have AI expertise, deep domain knowledge, as well as huge appreciation to the pain points that SMB are facing. 4. If you weren’t building your startup, what would you be doing? I am very excited about entrepreneurship, helping other startups succeed, and have been angel investing for a long time as a side hobby. I probably would be more active in early stage investments if I wasn’t building my startup. 5. At the moment, how do you measure success? What are your metrics? We track customer engagement (number inbound/outbound calls or chats) as one of the core KPIs. Another metric we track is Quality, we treat any internal/external complaint/mistake/expectation mismatch as a concern, basically anything that is not satisfactory to our team or clients would be counted as one and we have been able to maintain a 99.7% correctness for a very long time. This metric has a direct correlation to our churn which is extremely low, which drives the flywheel of great reviews https://www.trustpilot.com/review/smith.ai and more referrals. https://www.trustpilot.com/review/smith.ai https://www.trustpilot.com/review/smith.ai 6. In a few sentences, what do you offer to whom? Smith.ai provides AI-driven virtual receptionist services, including call and chat answering, tailored for small and medium-sized businesses (SMBs). Our offerings encompass 24/7 live virtual receptionists, AI voice assistants, outreach campaigns, and AI-powered web chat, all designed to enhance customer engagement and support. We serve a wide range of industries, including law firms, home services, marketing agencies, medical and wellness, and many more. 7. What’s most exciting about your traction to date? The most exciting thing about Smith.ai is we have answered tens of millions of calls and chats with extremely high accuracy and satisfaction (99.7%). The most important thing is we help our SMB clients grow by converting callers to customers with the latest AI technologies which is impossible if they were to implement on their own. 8. Where do you think your growth will be next year? Given the uncertainty in inflation and macroeconomics, we believe the trend of doing more with less by leveraging AI and outsourcing will remain front and center for our clients. The fact that we can drive instant satisfaction and revenue growth at a much lower cost would be a huge tailwind for our exponential growth next year. 9. Tell us about your first paying customer and revenue expectations over the next year. We started the company back in October 2015 and I am excited to say that the majority of them are still with us today and have increased their spend with us 10X. We recently launched our AI-first Voice Assistant and it’s a total game changer. One client said “whoever put this together is a bloody genius.” - this is the magical moment when the product is so good that wows our clients. We believe we will have a significant jump in revenue next year as we continue to deploy this technology to 30M SMB in the US. 10. What’s your biggest threat? Our biggest threat is really execution. The market is huge and demand is clear. We have clients asking us for new features on a daily basis and it’s up to us to push the envelope of AI with humans fast enough to meet their needs. Our assessment of the current AI capabilities is that they may struggle with nuanced and complex conversations, especially in emotional or context-heavy interactions. We believe our hybrid human-AI approach is the best in order to bridge the gap. For appointment booking or sales conversion, we believe human touch offers the best business outcome. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke ’s ten questions for startup founders . HackerNoon Founder & CEO David Smooke ten questions for startup founders Would you like to take a stab at answering some of these questions? The link for the template is HERE. Would you like to take a stab at answering some of these questions? The link for the template is HERE. The link for the template is HERE.

Blending AI and Human Expertise: How Smith.ai CEO/Founder is Revolutionizing SMB Customer Engagement

Data science and user experience design have recently become critical to the success of companies' sophisticated internal digital tools for analyzing, processing information, and predicting what-if scenarios. Used by internal teams and operations staff, these tools aim to optimize processes, predict outcomes, and inform decision-making in increasingly complex systems. For those working in data science, a common approach is to view humans as “human-in-the-loop,” meaning users provide inputs to a system or validate outputs, but their role remains secondary to technology and algorithms. It is worth considering that the complexity and nuanced requirements of modeling tools have begun to require a shift to a more human-centered approach to make the tools accessible to a wider audience. This article examines human-centered design and the need for such a focus for those working on data science projects and suggests strategies to facilitate this transition. Determining the Difference To address human-related issues (emotional state, learning, outcome), the concept of “human-in-the-loop” (HITL) was introduced, which involves incorporating human knowledge into the modeling process. The HITL approach is often a common way of thinking among data science teams, where humans are seen as secondary players who help the machine function better or validate the results generated by algorithms. This interdisciplinary approach crosses computer science, cognitive science, and psychology and consists of three components: data preprocessing, data modeling, and process modification to improve performance. However, it is important to consider that the results and performance of ML models can be unpredictable, so it remains unclear which aspect of human-machine interaction yields the best learning results. People are thus viewed as add-ons to the system—sources of labeled data, corrections, or ideas that help fine-tune the models—without taking into account their broader needs, motivations, or limitations. Human involvement depends on the type of solution being implemented: strategic, tactical, or operational. In operational and tactical systems, the human role is usually minimal. In contrast, in strategic solutions, the human role is critical because these decisions require context, explainability, and domain expertise. They often rely on human interpretation to validate assumptions, assess risks, and align outcomes with broader goals. Human-centered design, on the other hand, places the user at the center of the design and development process by aligning technology with human needs, behaviors, motivation, and goals. Understanding the "why" behind user behaviors is a key component of human-centered design, which integrates user context and requirements thoroughly into all phases of product development. For data scientists, embracing human-centered design is more than just incorporating human input into systems; it also entails actively reshaping systems to meet the actual users’ needs and developing tools that empower rather than burden them. Why Human-Centered Design Matters In complex, high-stakes environments, inconsistent forecasts, confusing workflows, or overly complex interfaces can lead to poor decision-making, frustration, and operational inefficiencies. That’s why a human-centered approach is invaluable in such settings, enabling users to receive answers tailored to their needs. Often, users view data science solutions as “black boxes,” making it difficult to trust them or understand the results they produce. Developing tools and solutions that explain the relationships between inputs and outputs and the behavior of models can improve trust and usability, empowering users to confidently make informed decisions. This need for explainability and transparency is directly related to the need for human-centered design and more understandable solutions. When tools are designed with end-users in mind, they are more likely to be adopted and used effectively by users. When data scientists understand the nuances of user tasks, they can create models and interfaces that match users’ real workflows and contexts, rather than idealized or abstract ones. This increases trust in the tool’s output and minimizes the learning curve for users. Moreover, the accuracy and applicability of machine learning models can be highly dependent on the user context. These subtleties are better captured by a human-centered approach, which ultimately produces more accurate and meaningful predictions for users. By providing users with the tools they need to make informed decisions, human-centered design empowers users. Instead of relying on the user to validate a machine’s predictions, tools can allow users to make decisions alongside the machine, fostering collaboration rather than a directive relationship. Practical Steps to Move Toward Human-Centered Design While the benefits of human-centered design may be clear and obvious, shifting from a “human in the loop” requires both structural changes and cultural and team support. Here are some actionable steps teams can take to embrace human-centered design. 1. User Research First Researching users and their context is fundamental to human-centered design. Thus, interviews, ethnographic studies, observations of users’ workflows, and identification of pain points, motivations, and goals help to better understand and study users. Such research produces qualitative insights that can be complemented by quantitative data, providing a deeper understanding of users' context. Additionally, creating user journey maps that detail the workflows and touchpoints users have with various tools and other organizational functions allows for a more accurate assessment of what users are experiencing. This visual tool can help highlight opportunities where these tools can add more value or streamline user processes. 2. Prototype With a Purpose To make efficient use of a team's time by experimenting with different models, assumptions, and data visualizations while focusing not only on achieving technical goals but also on creating features that are clear, relevant, and useful to the user, rapid prototyping can help. It’s a fundamental practice of human-centered design that brings ideas to life and allows users to test the prototype early, for example in Figma, without spending time on development. This ensures that user feedback is obtained before a huge amount of time is spent on product development and helps to quickly get to the point where the user's problem is solved by matching the real needs and defining what tasks the user needs to perform to achieve it. 3. Design for Trust and Transparency A critical component of human-centered design is building trust and transparency so that when users receive forecasts or recommendations, they understand the validity of those results and can make business decisions and act on them with confidence. Trust in data tools can be achieved by helping users understand why the system suggests a certain outcome or path and by visualizing results that are understandable to the user and consistent with their mental model. 4. Development of a Collaborative and Interdisciplinary Team Culture Creating successful human-centered data tools requires collaboration across disciplines. Having a shared team vision based on the human-centered design will help bridge gaps in expertise and perspectives, ensuring that the final digital solution meets all team goals, prioritising user satisfaction, usability, and utility. Additionally, building empathy through shared UX activities helps develop a more empathetic understanding of the end user. 5. Measuring Success With User-Centric Metrics Implementing human-centred design means going beyond technical success metrics and focusing on including metrics that reflect user satisfaction and performance: a) regular feedback from users on their satisfaction with the tool and specific features; b) task success rates and time to complete them; c) feedback loops such as surveys or regular feedback sessions that help identify and resolve issues in real time, rather than waiting for problems to escalate. Conclusion Moving from “human-in-the-loop” to human-centred design is a mindset shift that emphasises designing for users rather than simply using users to validate machine output. In companies where decisions can have a high impact and significant risk, human-centred design helps better align tools with users' real-world needs and context. For data scientists, this mental shift paves the way for building digital tools that are not only functionally efficient but also truly empower users and enable them to engage a broader audience. When data tools are built with a human-centric mindset, they become tools that help users make better, faster, and more confident decisions, ultimately improving both the user experience and operational outcomes. Data science and user experience design have recently become critical to the success of companies' sophisticated internal digital tools for analyzing, processing information, and predicting what-if scenarios. Used by internal teams and operations staff, these tools aim to optimize processes, predict outcomes, and inform decision-making in increasingly complex systems. For those working in data science, a common approach is to view humans as “human-in-the-loop,” meaning users provide inputs to a system or validate outputs, but their role remains secondary to technology and algorithms. It is worth considering that the complexity and nuanced requirements of modeling tools have begun to require a shift to a more human-centered approach to make the tools accessible to a wider audience. This article examines human-centered design and the need for such a focus for those working on data science projects and suggests strategies to facilitate this transition. Determining the Difference To address human-related issues (emotional state, learning, outcome), the concept of “human-in-the-loop” (HITL) was introduced, which involves incorporating human knowledge into the modeling process. The HITL approach is often a common way of thinking among data science teams, where humans are seen as secondary players who help the machine function better or validate the results generated by algorithms. This interdisciplinary approach crosses computer science, cognitive science, and psychology and consists of three components: data preprocessing, data modeling, and process modification to improve performance. However, it is important to consider that the results and performance of ML models can be unpredictable, so it remains unclear which aspect of human-machine interaction yields the best learning results. People are thus viewed as add-ons to the system—sources of labeled data, corrections, or ideas that help fine-tune the models—without taking into account their broader needs, motivations, or limitations. Human involvement depends on the type of solution being implemented: strategic, tactical, or operational. In operational and tactical systems, the human role is usually minimal. In contrast, in strategic solutions, the human role is critical because these decisions require context, explainability, and domain expertise. They often rely on human interpretation to validate assumptions, assess risks, and align outcomes with broader goals. Human-centered design, on the other hand, places the user at the center of the design and development process by aligning technology with human needs, behaviors, motivation, and goals. Understanding the "why" behind user behaviors is a key component of human-centered design, which integrates user context and requirements thoroughly into all phases of product development. For data scientists, embracing human-centered design is more than just incorporating human input into systems; it also entails actively reshaping systems to meet the actual users’ needs and developing tools that empower rather than burden them. Why Human-Centered Design Matters In complex, high-stakes environments, inconsistent forecasts, confusing workflows, or overly complex interfaces can lead to poor decision-making, frustration, and operational inefficiencies. That’s why a human-centered approach is invaluable in such settings, enabling users to receive answers tailored to their needs. Often, users view data science solutions as “black boxes,” making it difficult to trust them or understand the results they produce. Developing tools and solutions that explain the relationships between inputs and outputs and the behavior of models can improve trust and usability, empowering users to confidently make informed decisions. This need for explainability and transparency is directly related to the need for human-centered design and more understandable solutions. When tools are designed with end-users in mind, they are more likely to be adopted and used effectively by users. When data scientists understand the nuances of user tasks, they can create models and interfaces that match users’ real workflows and contexts, rather than idealized or abstract ones. This increases trust in the tool’s output and minimizes the learning curve for users. Moreover, the accuracy and applicability of machine learning models can be highly dependent on the user context. These subtleties are better captured by a human-centered approach, which ultimately produces more accurate and meaningful predictions for users. By providing users with the tools they need to make informed decisions, human-centered design empowers users. Instead of relying on the user to validate a machine’s predictions, tools can allow users to make decisions alongside the machine, fostering collaboration rather than a directive relationship. Practical Steps to Move Toward Human-Centered Design While the benefits of human-centered design may be clear and obvious, shifting from a “human in the loop” requires both structural changes and cultural and team support. Here are some actionable steps teams can take to embrace human-centered design. 1. User Research First Researching users and their context is fundamental to human-centered design. Thus, interviews, ethnographic studies, observations of users’ workflows, and identification of pain points, motivations, and goals help to better understand and study users. Such research produces qualitative insights that can be complemented by quantitative data, providing a deeper understanding of users' context. Additionally, creating user journey maps that detail the workflows and touchpoints users have with various tools and other organizational functions allows for a more accurate assessment of what users are experiencing. This visual tool can help highlight opportunities where these tools can add more value or streamline user processes. 2. Prototype With a Purpose To make efficient use of a team's time by experimenting with different models, assumptions, and data visualizations while focusing not only on achieving technical goals but also on creating features that are clear, relevant, and useful to the user, rapid prototyping can help. It’s a fundamental practice of human-centered design that brings ideas to life and allows users to test the prototype early, for example in Figma, without spending time on development. This ensures that user feedback is obtained before a huge amount of time is spent on product development and helps to quickly get to the point where the user's problem is solved by matching the real needs and defining what tasks the user needs to perform to achieve it. 3. Design for Trust and Transparency A critical component of human-centered design is building trust and transparency so that when users receive forecasts or recommendations, they understand the validity of those results and can make business decisions and act on them with confidence. Trust in data tools can be achieved by helping users understand why the system suggests a certain outcome or path and by visualizing results that are understandable to the user and consistent with their mental model. 4. Development of a Collaborative and Interdisciplinary Team Culture Creating successful human-centered data tools requires collaboration across disciplines. Having a shared team vision based on the human-centered design will help bridge gaps in expertise and perspectives, ensuring that the final digital solution meets all team goals, prioritising user satisfaction, usability, and utility. Additionally, building empathy through shared UX activities helps develop a more empathetic understanding of the end user. 5. Measuring Success With User-Centric Metrics Implementing human-centred design means going beyond technical success metrics and focusing on including metrics that reflect user satisfaction and performance: a) regular feedback from users on their satisfaction with the tool and specific features; b) task success rates and time to complete them; c) feedback loops such as surveys or regular feedback sessions that help identify and resolve issues in real time, rather than waiting for problems to escalate. Conclusion Moving from “human-in-the-loop” to human-centred design is a mindset shift that emphasises designing for users rather than simply using users to validate machine output. In companies where decisions can have a high impact and significant risk, human-centred design helps better align tools with users' real-world needs and context. For data scientists, this mental shift paves the way for building digital tools that are not only functionally efficient but also truly empower users and enable them to engage a broader audience. When data tools are built with a human-centric mindset, they become tools that help users make better, faster, and more confident decisions, ultimately improving both the user experience and operational outcomes.

Design and Data Science: From a Human-in-the-Loop Approach to Human-Centered Design

How Humanity Could Survive The Emergence of AGI

এজিআই-এর উত্থানে মানবতা কীভাবে বেঁচে থাকতে পারে

Wie die Menschheit die Entstehung künstlicher Intelligenz überleben könnte

Cómo podría la humanidad sobrevivir a la aparición de la IAG

Comment l'humanité pourrait survivre à l'émergence de l'IA générale

मानवता एजीआई के उद्भव से कैसे बच सकती है?

人類はAGIの出現をどう生き延びるか

인류가 AGI의 출현에서 살아남을 수 있는 방법

Como a humanidade poderia sobreviver ao surgimento da AGI

Как человечество может пережить появление AGI

İnsanlık Yapay Zekanın Ortaya Çıkışına Nasıl Dayanabilir?

Nhân loại có thể sống sót như thế nào khi AGI xuất hiện

人类如何在 AGI 出现后生存下来

GPTZero is one of the many AI detectors out there, capable of spotting when something was written by AI. It’s very good at what it does, and that causes lots of problems for people who want to enjoy the ease and convenience of AI, without being detected. Luckily, it’s not impossible to bypass GPTZero. In fact, getting past AI detection on GPTZero and other similar detectors is easier than you might think. This guide will show you exactly how it’s done, with several proven solutions. Bypass GPTZero Every Time So, if you want to bypass GPTZero AI detection, here’s the secret: all you have to do is use an AI humanizer, like PassMe.AI. AI humanizers like this are designed to essentially rewrite and restructure AI-generated text in ways that fool AI detectors. In other words, they turn AI text into human-sounding text, without any need for manual rewriting. PassMe AI: The Best Undetectable AI Writer PassMe.AI is an undetectable AI stealth writer with a 100% effectiveness rating. With its powerful, high-end technology, it can transform any piece of AI-generated text in order to beat AI detectors. And testing shows that this tool is able to bypass a whole bunch of detectors consistently, including GPTZero, ZeroGPT, Originality.AI, and Winston AI. But that’s not all! PassMe.AI also stands out for its rapid processing times, its multilingual support (it works in dozens of different languages), and its ability to check each piece of text for AI in various detectors, saving you tons of time. In short, it’s the fastest, more reliable, and most efficient AI humanizer on the market right now. Putting PassMe AI to the Test Against GPTZero PassMe AI sounds good, but does it actually work? If that’s what’s on your mind, let’s put your fears to rest with a demonstration of PassMe.AI’s incredible humanization potential. First, we’ll head to ChatGPT and get a sample of AI-generated text to work with. Next, we’ll run that sample through GPTZero. As you can see, GPTZero successfully spots that this is AI text. But now, let’s humanize it with PassMe.AI, and see how the results change. And here’s how GPTZero feels about the new version: As you can see from this simple test, PassMe.AI is indeed able to bypass GPTZero. In only one click, it can take obvious AI-generated text and make it seem much more human. More GPTZero AI Detection Bypass Solutions Next up, let’s see a few more bonus ways to get past GPTZero: Uncheck AI – For 100% Human Scores Uncheck AI is one of the best-rated undetectable AI writers for bypassing GPTZero and dozens more leading AI detectors. It’s incredibly efficient and can help you secure 100% human ratings in AI detection scans, so there’ll be no doubt or suspicion about your work. It offers three humanization modes, built-in AI detection capabilities, and it even works in dozens of different languages. This tool also gives you original output, every time, so there’s no chance of having your work flagged for plagiarism. uPass – For Students uPass is a leading AI humanizer aimed at a wide range of users, from content creators to writers, but it’s especially great for students. This is due to the fact it offers great value subscriptions, is free to try, and works well at humanizing essays and assignments. uPass can understand the message and core themes of your text and maintain those themes during the humanization process. So your output text will feel consistent, as well as being highly readable and completely human, so it can bypass GPTZero, Turnitin, and others. Rewritify AI – For Original Output Rewritify AI is yet another undetectable AI writer you can use to bypass GPTZero, as well as ZeroGPT, Turnitin, Winston AI, and other AI detection tools. It not only humanizes any piece of AI-generated content, but it only provides truly original, unique content (not copied and pasted). So you can count on Rewritify AI to help you beat both AI detectors and plagiarism detectors. It’s really easy to work with – just paste your text in and hit “Humanize” to get started – and it has multiple modes to switch between for different levels of humanization. AIHumanize.com – For Business Users AIHumanize.com is an undetectable AI writer that’s just perfect for business users, though it’s available for anyone. It’s got several advanced features, like the ability to automatically check multiple AI detectors at once, several humanization modes, and it supports file uploads too. It also has the ability to write in different styles, and it can learn the way you like to write (or your brand’s voice) in order to deliver tailor-made content that suits you just right. That means you don’t have to spend as much time (or any time at all) manually editing your humanized texts, and you’ll always be able to beat GPTZero. Stealthly AI – For Advanced Users Stealthly AI is one of the more advanced AI humanizers on the market today. It has three different humanization modes, ranging from “Light” for mild changes to “Deep” for the most aggressive humanization to bypass GPTZero, Originality.AI, and others. Plus, it has a drop-down list of “Purposes” that you can set before humanizing. This allows you to more accurately and reliably humanize different kinds of texts, like academic essays, letters, reports, business blogs, and even legal articles. Manual Methods to Bypass GPTZero Note that you don’t necessarily need to use an AI humanizer to bypass GPTZero. You could try manual methods, too, which include: Writing or rewriting the text yourself (or hiring a human writer to do it for you) instead of using AI.
Writing parts of your text with AI and combining that with other human-written sections to trick the detectors.
Using alternative and more detailed prompts when working with AI tools, like asking ChatGPT to write in a specific style or from a point of view.
Mixing in different symbols and even adding intentional mistakes to your text can also help you bypass GPTZero, but this makes your text look less professional. Final Word So, if you’ve ever had problems with GPTZero and struggle to bypass AI detection in general, worry no more. With the help of undetectable AI writers, like PassMe.AI, you’ll never need to worry about your work being flagged as AI-generated again. This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author GPTZero is one of the many AI detectors out there, capable of spotting when something was written by AI. It’s very good at what it does, and that causes lots of problems for people who want to enjoy the ease and convenience of AI, without being detected. Luckily, it’s not impossible to bypass GPTZero. In fact, getting past AI detection on GPTZero and other similar detectors is easier than you might think. This guide will show you exactly how it’s done, with several proven solutions. Bypass GPTZero Every Time So, if you want to bypass GPTZero AI detection, here’s the secret: all you have to do is use an AI humanizer, like PassMe.AI. AI humanizers like this are designed to essentially rewrite and restructure AI-generated text in ways that fool AI detectors. In other words, they turn AI text into human-sounding text, without any need for manual rewriting. PassMe AI : The Best Undetectable AI Writer PassMe AI PassMe AI PassMe.AI is an undetectable AI stealth writer with a 100% effectiveness rating. With its powerful, high-end technology, it can transform any piece of AI-generated text in order to beat AI detectors. And testing shows that this tool is able to bypass a whole bunch of detectors consistently, including GPTZero, ZeroGPT, Originality.AI, and Winston AI. undetectable AI stealth writer undetectable AI stealth writer But that’s not all! PassMe.AI also stands out for its rapid processing times, its multilingual support (it works in dozens of different languages), and its ability to check each piece of text for AI in various detectors, saving you tons of time. In short, it’s the fastest, more reliable, and most efficient AI humanizer on the market right now. Putting PassMe AI to the Test Against GPTZero PassMe AI sounds good, but does it actually work? If that’s what’s on your mind, let’s put your fears to rest with a demonstration of PassMe.AI’s incredible humanization potential. First, we’ll head to ChatGPT and get a sample of AI-generated text to work with. Next, we’ll run that sample through GPTZero. As you can see, GPTZero successfully spots that this is AI text. But now, let’s humanize it with PassMe.AI, and see how the results change. And here’s how GPTZero feels about the new version: As you can see from this simple test, PassMe.AI is indeed able to bypass GPTZero. In only one click, it can take obvious AI-generated text and make it seem much more human. More GPTZero AI Detection Bypass Solutions Next up, let’s see a few more bonus ways to get past GPTZero: Uncheck AI – For 100% Human Scores Uncheck AI is one of the best-rated undetectable AI writers for bypassing GPTZero and dozens more leading AI detectors. It’s incredibly efficient and can help you secure 100% human ratings in AI detection scans, so there’ll be no doubt or suspicion about your work. Uncheck AI Uncheck AI It offers three humanization modes, built-in AI detection capabilities, and it even works in dozens of different languages. This tool also gives you original output, every time, so there’s no chance of having your work flagged for plagiarism. uPass – For Students uPass is a leading AI humanizer aimed at a wide range of users, from content creators to writers, but it’s especially great for students. This is due to the fact it offers great value subscriptions, is free to try, and works well at humanizing essays and assignments. uPass uPass uPass can understand the message and core themes of your text and maintain those themes during the humanization process. So your output text will feel consistent, as well as being highly readable and completely human, so it can bypass GPTZero, Turnitin, and others. Rewritify AI – For Original Output Rewritify AI is yet another undetectable AI writer you can use to bypass GPTZero, as well as ZeroGPT, Turnitin, Winston AI, and other AI detection tools. It not only humanizes any piece of AI-generated content, but it only provides truly original, unique content (not copied and pasted). Rewritify AI Rewritify AI So you can count on Rewritify AI to help you beat both AI detectors and plagiarism detectors. It’s really easy to work with – just paste your text in and hit “Humanize” to get started – and it has multiple modes to switch between for different levels of humanization. AIHumanize.com – For Business Users AIHumanize.com is an undetectable AI writer that’s just perfect for business users, though it’s available for anyone. It’s got several advanced features, like the ability to automatically check multiple AI detectors at once, several humanization modes, and it supports file uploads too. AIHumanize.com AIHumanize.com It also has the ability to write in different styles, and it can learn the way you like to write (or your brand’s voice) in order to deliver tailor-made content that suits you just right. That means you don’t have to spend as much time (or any time at all) manually editing your humanized texts, and you’ll always be able to beat GPTZero. Stealthly AI – For Advanced Users Stealthly AI is one of the more advanced AI humanizers on the market today. It has three different humanization modes, ranging from “Light” for mild changes to “Deep” for the most aggressive humanization to bypass GPTZero, Originality.AI, and others. Stealthly AI Stealthly AI Plus, it has a drop-down list of “Purposes” that you can set before humanizing. This allows you to more accurately and reliably humanize different kinds of texts, like academic essays, letters, reports, business blogs, and even legal articles. Manual Methods to Bypass GPTZero Note that you don’t necessarily need to use an AI humanizer to bypass GPTZero. You could try manual methods, too, which include: Writing or rewriting the text yourself (or hiring a human writer to do it for you) instead of using AI. Writing parts of your text with AI and combining that with other human-written sections to trick the detectors. Using alternative and more detailed prompts when working with AI tools, like asking ChatGPT to write in a specific style or from a point of view. Mixing in different symbols and even adding intentional mistakes to your text can also help you bypass GPTZero, but this makes your text look less professional. Writing or rewriting the text yourself (or hiring a human writer to do it for you) instead of using AI. Writing parts of your text with AI and combining that with other human-written sections to trick the detectors. Using alternative and more detailed prompts when working with AI tools, like asking ChatGPT to write in a specific style or from a point of view. Mixing in different symbols and even adding intentional mistakes to your text can also help you bypass GPTZero, but this makes your text look less professional. Final Word So, if you’ve ever had problems with GPTZero and struggle to bypass AI detection in general, worry no more. With the help of undetectable AI writers, like PassMe.AI, you’ll never need to worry about your work being flagged as AI-generated again. This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

Bypass GPTZero AI Detection Every Time with PassMe.AI – The Ultimate AI Humanizer

Абыход GPTZero AI Detection кожны раз з PassMe.AI - Канчатковы AI Humanizer

Evite la detección de IA de GPTZero en todo momento con PassMe.AI: el humanizador de IA definitivo

Saihestu GPTZero AI detekzioa aldiro PassMe.AI-rekin - Azken AI Humanizer

עוקף את זיהוי הבינה המלאכותית של GPTZero בכל פעם עם PassMe.AI - ה- AI Humanizer האולטימטיבי

PassMe.AI で GPTZero AI 検出を毎回バイパス - 究極の AI ヒューマナイザー

ყოველ ჯერზე გვერდის ავლით GPTZero AI-ის გამოვლენა PassMe.AI-ით – საბოლოო AI ჰუმანიზატორი

PassMe.AI арқылы GPTZero AI анықтауын әр уақытта айналып өтіңіз – соңғы AI гуманизаторы

PassMe.AI менен GPTZero AI Detection ар бир жолу айланып өтүңүз – Ultimate AI Гуманизатору

Omzeil GPTZero AI-detectie elke keer met PassMe.AI – de ultieme AI-humanizer

PassMe.AI සමඟින් සෑම විටම GPTZero AI හඳුනාගැනීම මඟ හරින්න - Ultimate AI Humanizer

Bypass GPTZero AI Kuonekwa Nguva dzese nePassMe.AI - Iyo Yekupedzisira AI Humanizer

PassMe.AI bilan har safar GPTZero AI aniqlashni chetlab o'ting - Ultimate AI insonparvari

As powerful as AI detectors like GPTZero and Originality.ai can be, these tools are not unbeatable. With the right AI stealth writing tool, you can make any AI-generated content sound human-written and Humanizer.Pro is a popular choice among online users. In this review, we’ll explore what this platform is all about, how it works, its features, use cases, and more. Read on to learn what makes Humanizer.Pro so unique and such a valuable solution to all your AI content writing needs. What is Humanizer.Pro? Humanizer.Pro is an advanced AI humanization tool that rewrites AI content to sound more natural and authentic enough to bypass AI detectors. Using advanced language modification techniques, it can refine the overall vocabulary and structure of the content to imitate real human-like conversation. As a result, it produces less robotic-sounding output that can beat even the most stringent AI detection tools in the market. In addition, any rewritten output produced by Humanizer.Pro is guaranteed to be 100% unique and plagiarism-free. This means you can also pass any plagiarism scan, be it on Turnitin, Quetext, Copyscape, etc. Moreover, the tool does well to retain the original meaning of the text. This guarantees your key message will not be distorted in any way to prevent any misunderstandings among readers. Besides that, Humanizer.Pro does well to ensure the output is error-free, which spares you a lot of time and effort in making edits and revisions. What Makes Humanizer.Pro Worth It? Several key aspects of Humanizer.Pro makes it a worthwhile tool to use in your AI writing workflow. Some of these highlights include: Versatile AI Humanizer: With this tool, you can humanize AI text across a wide range of areas, subjects, and fields. This includes essays, reports, marketing copy, ad copy, emails, newsletters, and more. As a result, it is accessible to users in numerous fields, niches, and industries. Free User Access: You can test out Humanizer.Pro’s extensive features and capabilities at no charge using its free trial. The platform doesn’t even require you to submit any credit information to get started. Built-in AI Checker: Humanizer.Pro has a built-in AI checker linked to multiple AI detection tools like ZeroGPT, GPTZero, and Turnitin. This lets you scan your content for AI and get consolidated AI scores from all these tools in one place. ChatGPT Watermark Removal: Humanizer.Pro comes with a unique ChatGPT watermark removal feature that automatically erases and replaces any special phrasing that indicates the text is AI-generated. This does well to ensure 100% human-like results each time. Varied AI Bypass Options: This AI humanizer provides access to multiple AI bypass options that you can choose from. Each one humanizes AI text differently, which means you can benefit from multiple outputs of the same content. Testing Humanizer.Pro: Can It Beat AI Detection? Ultimately, the main question that needs to be answered is: Can Humanizer.Pro beat AI detection? To test this tool’s capabilities, we decided to put it up against three AI detectors such as GPTZero, ZeroGPT, and Originality. The first step was generating a short piece of AI content using ChatGPT. This was the output it produced below. Next, we scanned the AI content on all three AI detectors to verify its detectability. Here are the results of each tool below. From there, we pasted the AI text on Humanizer.Pro to rewrite the content. It produced a human-like version in a matter of seconds. Here’s the final output below. After this, we scanned the content on all three AI detectors to confirm that it truly was undetectable. You can see how the text performed below. As you can see, all three AI detectors confirmed that Humanizer.Pro’s output is 100% human. The tool did an effective job of reworking the vocabulary, syntax, and phrasing to ensure the new version sounds less artificial and more natural. Simply put, this is an AI humanizer that can be relied on to bypass AI detectors without fail. FAQs Is It Safe To Use Humanizer.Pro? Humanizer.Pro implements industry-standard data encryption measures to ensure any content you upload remains secure and confidential. It also has a strict privacy policy that guarantees your information will not be shared with any unauthorized third parties. Can I Access Humanizer.Pro On Mobile? Yes. Humanizer.Pro is mobile-optimized to ensure that you can humanize AI content at any time with no hassle, be it on mobile, tablet, or desktop devices. Simply head to the website on your browser, paste the AI content, and click ‘Humanize’. It’s that simple! Can Humanizer.Pro Rewrite Content In Multiple Languages? Absolutely. Humanizer.Pro offers multilingual support, which means you can humanize AI content in many languages to accommodate global audiences. You can use it to create undetectable AI content in English, French, Spanish, Russian, and much more. Is Humanizer.Pro The Best AI Humanizer Tool? If you want to make your AI content undetectable, then Humanizer.Pro is the most reliable solution to use. Its advanced AI bypass capabilities will comprehensively rework your content to sound so authentically human-like that it will consistently bypass any AI detection model without fail. Conclusion In this review, we’ve established that Humanizer.Pro is a powerful tool that can make AI content undetectable, no matter how stringent the AI detector may be. With access to advanced AI bypass technology and an easy-to-use interface, this is the perfect tool for anyone looking to quickly transform their AI writing for the better. Plus, it has a free trial, so you can try out Humanizer.Pro now without spending a dime! This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author As powerful as AI detectors like GPTZero and Originality.ai can be, these tools are not unbeatable. With the right AI stealth writing tool, you can make any AI-generated content sound human-written and Humanizer.Pro is a popular choice among online users. In this review, we’ll explore what this platform is all about, how it works, its features, use cases, and more. Read on to learn what makes Humanizer.Pro so unique and such a valuable solution to all your AI content writing needs. What is Humanizer.Pro? Humanizer.Pro is an advanced AI humanization tool that rewrites AI content to sound more natural and authentic enough to bypass AI detectors. Using advanced language modification techniques, it can refine the overall vocabulary and structure of the content to imitate real human-like conversation. Humanizer.Pro Humanizer.Pro As a result, it produces less robotic-sounding output that can beat even the most stringent AI detection tools in the market. In addition, any rewritten output produced by Humanizer.Pro is guaranteed to be 100% unique and plagiarism-free. This means you can also pass any plagiarism scan, be it on Turnitin, Quetext, Copyscape, etc. Moreover, the tool does well to retain the original meaning of the text. This guarantees your key message will not be distorted in any way to prevent any misunderstandings among readers. Besides that, Humanizer.Pro does well to ensure the output is error-free, which spares you a lot of time and effort in making edits and revisions. What Makes Humanizer.Pro Worth It? Several key aspects of Humanizer.Pro makes it a worthwhile tool to use in your AI writing workflow. Some of these highlights include: Versatile AI Humanizer: With this tool, you can humanize AI text across a wide range of areas, subjects, and fields. This includes essays, reports, marketing copy, ad copy, emails, newsletters, and more. As a result, it is accessible to users in numerous fields, niches, and industries. Versatile AI Humanizer: With this tool, you can humanize AI text across a wide range of areas, subjects, and fields. This includes essays, reports, marketing copy, ad copy, emails, newsletters, and more. As a result, it is accessible to users in numerous fields, niches, and industries. Free User Access: You can test out Humanizer.Pro’s extensive features and capabilities at no charge using its free trial. The platform doesn’t even require you to submit any credit information to get started. Free User Access: You can test out Humanizer.Pro’s extensive features and capabilities at no charge using its free trial. The platform doesn’t even require you to submit any credit information to get started. Built-in AI Checker: Humanizer.Pro has a built-in AI checker linked to multiple AI detection tools like ZeroGPT, GPTZero, and Turnitin. This lets you scan your content for AI and get consolidated AI scores from all these tools in one place. Built-in AI Checker: Humanizer.Pro has a built-in AI checker linked to multiple AI detection tools like ZeroGPT, GPTZero, and Turnitin. This lets you scan your content for AI and get consolidated AI scores from all these tools in one place. ChatGPT Watermark Removal: Humanizer.Pro comes with a unique ChatGPT watermark removal feature that automatically erases and replaces any special phrasing that indicates the text is AI-generated. This does well to ensure 100% human-like results each time. ChatGPT Watermark Removal: Humanizer.Pro comes with a unique ChatGPT watermark removal feature that automatically erases and replaces any special phrasing that indicates the text is AI-generated. This does well to ensure 100% human-like results each time. Varied AI Bypass Options: This AI humanizer provides access to multiple AI bypass options that you can choose from. Each one humanizes AI text differently, which means you can benefit from multiple outputs of the same content. Varied AI Bypass Options: This AI humanizer provides access to multiple AI bypass options that you can choose from. Each one humanizes AI text differently, which means you can benefit from multiple outputs of the same content. Testing Humanizer.Pro: Can It Beat AI Detection? Ultimately, the main question that needs to be answered is: Can Humanizer.Pro beat AI detection? To test this tool’s capabilities, we decided to put it up against three AI detectors such as GPTZero, ZeroGPT, and Originality. The first step was generating a short piece of AI content using ChatGPT. This was the output it produced below. Next, we scanned the AI content on all three AI detectors to verify its detectability. Here are the results of each tool below. From there, we pasted the AI text on Humanizer.Pro to rewrite the content. It produced a human-like version in a matter of seconds. Here’s the final output below. After this, we scanned the content on all three AI detectors to confirm that it truly was undetectable. You can see how the text performed below. As you can see, all three AI detectors confirmed that Humanizer.Pro’s output is 100% human. The tool did an effective job of reworking the vocabulary, syntax, and phrasing to ensure the new version sounds less artificial and more natural. Simply put, this is an AI humanizer that can be relied on to bypass AI detectors without fail. FAQs Is It Safe To Use Humanizer.Pro? Humanizer.Pro implements industry-standard data encryption measures to ensure any content you upload remains secure and confidential. It also has a strict privacy policy that guarantees your information will not be shared with any unauthorized third parties. Can I Access Humanizer.Pro On Mobile? Yes. Humanizer.Pro is mobile-optimized to ensure that you can humanize AI content at any time with no hassle, be it on mobile, tablet, or desktop devices. Simply head to the website on your browser, paste the AI content, and click ‘Humanize’. It’s that simple! Can Humanizer.Pro Rewrite Content In Multiple Languages? Absolutely. Humanizer.Pro offers multilingual support, which means you can humanize AI content in many languages to accommodate global audiences. You can use it to create undetectable AI content in English, French, Spanish, Russian, and much more. Is Humanizer.Pro The Best AI Humanizer Tool? If you want to make your AI content undetectable, then Humanizer.Pro is the most reliable solution to use. Its advanced AI bypass capabilities will comprehensively rework your content to sound so authentically human-like that it will consistently bypass any AI detection model without fail. Conclusion In this review, we’ve established that Humanizer.Pro is a powerful tool that can make AI content undetectable, no matter how stringent the AI detector may be. With access to advanced AI bypass technology and an easy-to-use interface, this is the perfect tool for anyone looking to quickly transform their AI writing for the better. Plus, it has a free trial, so you can try out Humanizer.Pro now without spending a dime! This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

Humanizer.Pro Review: Tool To Make AI Content Human-Like and Undetectable

Humanizer.Pro İcmalı: AI məzmununu insana bənzəyən və aşkarlanmayan etmək üçün alət

Humanizer.Pro-Rezension: Tool, um KI-Inhalte menschenähnlich und unsichtbar zu gestalten

Reseña de Humanizer.Pro: una herramienta para que el contenido de IA sea similar al humano y no se pueda detectar

Humanizer.Pro Review: työkalu tehdä tekoälysisällöstä ihmisen kaltaista ja havaitsematonta

Revisión de Humanizer.Pro: ferramenta para facer que o contido da intelixencia artificial sexa semellante ao humano e indetectable

Humanizer.Pro レビュー: AI コンテンツを人間らしく、検出不可能にするツール

Humanizer.Pro шолуы: AI мазмұнын адамға ұқсайтын және анықталмайтын етіп жасау құралы

Humanizer.Pro тойм: Хиймэл оюун ухааны агуулгыг хүнийхтэй адил, илрүүлэх боломжгүй болгох хэрэгсэл

Análise do Humanizer.Pro: ferramenta para tornar o conteúdo de IA semelhante ao humano e indetectável

Шарҳи Humanizer.Pro: Восита барои табдил додани мундариҷаи AI ба одам монанд ва ошкорнашаванда

Humanizer.Pro Review: ትሕዝቶ AI ሰብ ዝመስልን ዘይርአን ንምግባር ዝሕግዝ መሳርሒ

Ukubuyekezwa kwe-Humanizer.Pro: Ithuluzi Lokwenza Okuqukethwe Kwe-AI Kufane Nobuntu Futhi Kungabonakali

If you typically need AI writers like ChatGPT to streamline your content workflow, then it also pays to make use of AI humanizers. After all, AI content can often fail to keep readers engaged and it can lead to all sorts of consequences if it ends up being flagged by AI detectors like GPTZero, Turnitin, ZeroGPT, and others. For this reason, we decided to explore Humanize.io to see what this tool is all about. As an AI humanizer, it can help rewrite your AI content to sound more natural and human-like. But how does it work? What features does it offer? In this review, we will give you some deeper insight into one of the easiest ways of making AI content undetectable. How Does Humanize.io Work? Humanize.io is an AI humanization tool developed on a substantial volume of human-written text data such as articles, essays, papers, reports, and more. All of this information enables it to understand and replicate the varied patterns, syntax, and vocabulary that most real authors typically use in their content. As a result, it is able to enhance the overall uniqueness and naturalness of any AI-generated content to ensure it can evade AI detection and achieve high human scores. Best of all, the platform is fairly simple and intuitive enough to use that you don’t need any technical expertise or experience to get started. All it takes is four simple steps to humanize your AI text. Check them out below. Step 1: Head to Humanize.io, and paste the AI content in the input box. Step 2: Choose an AI bypass mode, which lets you rewrite the content in different ways. Step 3: Click ‘Humanize,’ and wait for the AI content to be rewritten. Step 4: Review the output and use it, or repeat the process to get different results. Since the platform works with any type of AI content, you can rely on it to humanize text from ChatGPT, Jasper, Gemini, Claude, or any other LLM. Plus, it has a powerful AI humanization model that can rewrite content in seconds, no matter the length. This makes it a versatile AI humanizer that can help you tackle any bulk AI content tasks. Why Should You Use Humanize.io? Now that we’ve established what Humanize.io can do, several aspects make it such a stand-out tool even amongst other popular AI humanizers in the market. So, let’s quickly break down some of the platform’s key highlights in detail below. Broad Anti-AI Detection Coverage: Humanize.io doesn’t just rework AI text to bypass a select few AI detectors. Using sophisticated AI humanization technologies, it implements real human nuances in the text that guarantee the output will bypass any advanced AI detection model without fail. 100% Error-Free Content: Humanize.io does well to consistently rewrite AI text and produce output that is entirely free of any grammatical, punctuation, or syntax errors. This ensures you won’t have to make constant revisions every time you humanize AI content. Duplicate-Free Output: Any humanized content generated by Humanize.io is guaranteed to be unique and not copied from anywhere. In other words, it will pass any originality scan, be it by Turnitin, Quetext, Copyscape, or any other plagiarism scan. Maintains Contextual Accuracy: With Humanize.io, there is no risk of your intended message being distorted. The platform will humanize your AI content while also retaining the original context, which also lets you create multiple versions of the same content easily. Multilingual AI Humanization: Humanize.io supports 50+ different languages, which enables you to humanize AI text to accommodate global audiences. This includes popular languages like English, Spanish, French, Portuguese, Hindi, Mandarin, and many others. Fast & Efficient Processing: When rewriting AI text, Humanize.io can be relied on to process your content in a matter of seconds rather than minutes. This makes it an ideal tool to humanize AI content in bulk without having to deal with any delays. How Can You Use Humanize.io? Humanize.io is a versatile tool that can help you humanize AI content to accommodate a wide range of use cases across a variety of fields, industries, and niches. Some of the most popular ones typically include: Content Marketing: AI-generated content often comes off as bland and robotic. Instead, you can use Humanize.io to add a human touch to your articles, newsletters, emails, and other marketing materials. This can help make them more relatable and interesting for higher reader engagement. Social Media Posting: AI tools can be a quick way to generate social media captions and posts. However, you can rely on Humanize.io to give the content some more personality by making it sound more authentic and conversational. This makes it far easier to boost audience engagement online across multiple channels. Academic Writing: Most educational institutions are still against using AI writing tools. Humanize.io can be an effective workaround that lets you humanize AI-generated essays, reports, and papers. This can be a quick and efficient way of ensuring your submitted content remains in line with academic policies. E-commerce Marketing: AI writing tools can speed up the process of writing product descriptions. However, AI-generated text can’t be counted on to incentivize customers to purchase. With Humanize.io, you can turn that content into a compelling marketing copy that effectively converts potential buyers. Conclusion Overall, Humanize.io is a powerful tool that can make your AI content writing a much less frustrating experience. With its advanced AI bypass capabilities, you can outsmart any AI detector and make any AI-generated text sound less artificial and more authentically human in just a few clicks. Best of all, it caters well to any AI content writing task, personal or professional. So, head over to Humanize.io now and try it out for free! This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author If you typically need AI writers like ChatGPT to streamline your content workflow, then it also pays to make use of AI humanizers. After all, AI content can often fail to keep readers engaged and it can lead to all sorts of consequences if it ends up being flagged by AI detectors like GPTZero, Turnitin, ZeroGPT, and others. For this reason, we decided to explore Humanize.io to see what this tool is all about. As an AI humanizer, it can help rewrite your AI content to sound more natural and human-like. But how does it work? What features does it offer? In this review, we will give you some deeper insight into one of the easiest ways of making AI content undetectable. How Does Humanize.io Work? Humanize.io is an AI humanization tool developed on a substantial volume of human-written text data such as articles, essays, papers, reports, and more. All of this information enables it to understand and replicate the varied patterns, syntax, and vocabulary that most real authors typically use in their content. Humanize.io Humanize.io As a result, it is able to enhance the overall uniqueness and naturalness of any AI-generated content to ensure it can evade AI detection and achieve high human scores. Best of all, the platform is fairly simple and intuitive enough to use that you don’t need any technical expertise or experience to get started. All it takes is four simple steps to humanize your AI text. Check them out below. Step 1: Head to Humanize.io, and paste the AI content in the input box. Step 2: Choose an AI bypass mode, which lets you rewrite the content in different ways. Step 3: Click ‘Humanize,’ and wait for the AI content to be rewritten. Step 4: Review the output and use it, or repeat the process to get different results. Since the platform works with any type of AI content, you can rely on it to humanize text from ChatGPT, Jasper, Gemini, Claude, or any other LLM. Plus, it has a powerful AI humanization model that can rewrite content in seconds, no matter the length. This makes it a versatile AI humanizer that can help you tackle any bulk AI content tasks. Why Should You Use Humanize.io? Now that we’ve established what Humanize.io can do, several aspects make it such a stand-out tool even amongst other popular AI humanizers in the market. So, let’s quickly break down some of the platform’s key highlights in detail below. Broad Anti-AI Detection Coverage: Humanize.io doesn’t just rework AI text to bypass a select few AI detectors. Using sophisticated AI humanization technologies, it implements real human nuances in the text that guarantee the output will bypass any advanced AI detection model without fail. Broad Anti-AI Detection Coverage: Humanize.io doesn’t just rework AI text to bypass a select few AI detectors. Using sophisticated AI humanization technologies, it implements real human nuances in the text that guarantee the output will bypass any advanced AI detection model without fail. 100% Error-Free Content: Humanize.io does well to consistently rewrite AI text and produce output that is entirely free of any grammatical, punctuation, or syntax errors. This ensures you won’t have to make constant revisions every time you humanize AI content. 100% Error-Free Content: Humanize.io does well to consistently rewrite AI text and produce output that is entirely free of any grammatical, punctuation, or syntax errors. This ensures you won’t have to make constant revisions every time you humanize AI content. Duplicate-Free Output: Any humanized content generated by Humanize.io is guaranteed to be unique and not copied from anywhere. In other words, it will pass any originality scan, be it by Turnitin, Quetext, Copyscape, or any other plagiarism scan. Duplicate-Free Output: Any humanized content generated by Humanize.io is guaranteed to be unique and not copied from anywhere. In other words, it will pass any originality scan, be it by Turnitin, Quetext, Copyscape, or any other plagiarism scan. Maintains Contextual Accuracy: With Humanize.io, there is no risk of your intended message being distorted. The platform will humanize your AI content while also retaining the original context, which also lets you create multiple versions of the same content easily. Maintains Contextual Accuracy: With Humanize.io, there is no risk of your intended message being distorted. The platform will humanize your AI content while also retaining the original context, which also lets you create multiple versions of the same content easily. Multilingual AI Humanization: Humanize.io supports 50+ different languages, which enables you to humanize AI text to accommodate global audiences. This includes popular languages like English, Spanish, French, Portuguese, Hindi, Mandarin, and many others. Multilingual AI Humanization: Humanize.io supports 50+ different languages, which enables you to humanize AI text to accommodate global audiences. This includes popular languages like English, Spanish, French, Portuguese, Hindi, Mandarin, and many others. Fast & Efficient Processing: When rewriting AI text, Humanize.io can be relied on to process your content in a matter of seconds rather than minutes. This makes it an ideal tool to humanize AI content in bulk without having to deal with any delays. Fast & Efficient Processing: When rewriting AI text, Humanize.io can be relied on to process your content in a matter of seconds rather than minutes. This makes it an ideal tool to humanize AI content in bulk without having to deal with any delays. How Can You Use Humanize.io? Humanize.io is a versatile tool that can help you humanize AI content to accommodate a wide range of use cases across a variety of fields, industries, and niches. Some of the most popular ones typically include: Content Marketing: AI-generated content often comes off as bland and robotic. Instead, you can use Humanize.io to add a human touch to your articles, newsletters, emails, and other marketing materials. This can help make them more relatable and interesting for higher reader engagement. Content Marketing: AI-generated content often comes off as bland and robotic. Instead, you can use Humanize.io to add a human touch to your articles, newsletters, emails, and other marketing materials. This can help make them more relatable and interesting for higher reader engagement. Social Media Posting: AI tools can be a quick way to generate social media captions and posts. However, you can rely on Humanize.io to give the content some more personality by making it sound more authentic and conversational. This makes it far easier to boost audience engagement online across multiple channels. Social Media Posting: AI tools can be a quick way to generate social media captions and posts. However, you can rely on Humanize.io to give the content some more personality by making it sound more authentic and conversational. This makes it far easier to boost audience engagement online across multiple channels. Academic Writing: Most educational institutions are still against using AI writing tools. Humanize.io can be an effective workaround that lets you humanize AI-generated essays, reports, and papers. This can be a quick and efficient way of ensuring your submitted content remains in line with academic policies. Academic Writing: Most educational institutions are still against using AI writing tools. Humanize.io can be an effective workaround that lets you humanize AI-generated essays, reports, and papers. This can be a quick and efficient way of ensuring your submitted content remains in line with academic policies. E-commerce Marketing: AI writing tools can speed up the process of writing product descriptions. However, AI-generated text can’t be counted on to incentivize customers to purchase. With Humanize.io, you can turn that content into a compelling marketing copy that effectively converts potential buyers. E-commerce Marketing: AI writing tools can speed up the process of writing product descriptions. However, AI-generated text can’t be counted on to incentivize customers to purchase. With Humanize.io, you can turn that content into a compelling marketing copy that effectively converts potential buyers. Conclusion Overall, Humanize.io is a powerful tool that can make your AI content writing a much less frustrating experience. With its advanced AI bypass capabilities, you can outsmart any AI detector and make any AI-generated text sound less artificial and more authentically human in just a few clicks. Best of all, it caters well to any AI content writing task, personal or professional. So, head over to Humanize.io now and try it out for free! head over to Humanize.io head over to Humanize.io This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

Humanize.io Review: Is This A Simple Way Of Making AI Content Undetectable?

Humanize.io recenzija: Da li je ovo jednostavan način da se AI sadržaj učini neprimetnim?

Humanize.io anmeldelse: Er dette en enkel måde at gøre AI-indhold uopdageligt?

Humanize.io-Test: Ist dies eine einfache Möglichkeit, KI-Inhalte unsichtbar zu machen?

Revisión de Humanize.io: ¿Es esta una forma sencilla de hacer que el contenido de IA sea indetectable?

Humanize.io Iritzia: Hau AI edukia hautemanezin bihurtzeko modu sinplea al da?

Humanize.io समीक्षा: क्या यह AI सामग्री को अप्राप्य बनाने का एक सरल तरीका है?

Revizyon Humanize.io: Èske sa se yon fason senp pou fè kontni AI endeslabl?

Humanize.io Review. Արդյո՞ք սա AI բովանդակությունը աննկատելի դարձնելու պարզ միջոց է:

Humanize.io レビュー: これは AI コンテンツを検出不能にする簡単な方法でしょうか?

Humanize.io მიმოხილვა: არის თუ არა ეს მარტივი გზა ხელოვნური ინტელექტის კონტენტის აღმოჩენის გარეშე?

Humanize.io apžvalga: ar tai paprastas būdas AI turinį padaryti neaptinkamą?

Humanize.io Review: እዚ ትሕዝቶ AI ዘይፍለጥ ንምግባር ቀሊል መንገዲ ድዩ?

If you check popular benchmarks used for measuring LLM performance, then you probably feel like AI is oh sooo clever. This is a fair surface-level impression; however, is AI truly better than an average human for cognitive tasks? Frontier models like o1 from OpenAI and Claude 3.5 Sonnet from Anthropic do perform better than expert humans in a number of fields, including law, coding, and math. Why, then, can’t ChatGPT solve some simple spatial reasoning tasks or some silly trick questions? Well, we are still talking about “large language models"—they take in a ton of letters and try to predict what letters to spit out for a given query. Notice, that nowhere in this equation the actual “thinking” is mentioned. The models are stochastic parrots of a sort, as they try to retrieve the right information from their training dataset instead of actually considering your question. At least, this was the case until OpenAI released o1-preview, but more on this later. Among those who started questioning the existing LLM benchmarks for relevance is the author of “AI Explained” a popular YouTube channel of which I’m a big fan. Phillip (the YouTuber’s name) noticed that the industry standard benchmarks have a clear style of questions that are also mostly publicly available. This means that not only can those exact questions be part of the training dataset, but due to standardization, it is easier for models to spot & apply patterns from the overall training data. Put simply, AI researchers who create groundbreaking complex tech can surely find a way to give their model the relevant questions and answers to “remember” before benchmarking. Looking at the results of the top model out there, o1 from OpenAI, one can imply that it scores above average in a lot of professional domains. And this is true, but this result relies on the availability of relevant training data and past examples from those specific fields. Don’t get me wrong, the models are now amazing at giving textbook answers to textbook questions, and this in itself is insanely impressive. The term “artificial intelligence," though, implies a bit more than just information retrieval; there should be some actual thinking involved. So a logical follow-up to all of the impressive numbers above is whether such “AI” can answer a tricky reasoning question. Does it have any spatial intelligence? Or can it navigate well in common social scenarios? The answer is - sometimes. Unlike field-specific questions with predefined answers, problems that humans solve on a daily basis often require understanding the context beyond natural language (which is the only thing LLMs have). Above are the top scorers on the SIMPLE benchmark, which gives LLMs questions that an average person would deem trivial but the models can’t necessarily answer yet. We are used to seeing AI doing so much better than an average human in exams or specialized benchmarks, but here, the top model performance is actually just 41.7% (o1-preview) vs. 83.7% of an average human. This benchmark uses 200 multiple-choice text questions focused on spatio-temporal reasoning, social intelligence, and trick questions. The most important feature of the benchmark is that those questions are not publicly available, so AI labs cannot just add them to their training data. You can learn more about this benchmark here. This new approach to measuring LLM performance shows just how far all the models still are from an average human reasoning capability. The quicker this gap closes in the coming months, the more definitive the answer “yes” to our headline becomes. An interesting new metric to look out for if you are enthusiastic but cautious about AI. If you check popular benchmarks used for measuring LLM performance, then you probably feel like AI is oh sooo clever. This is a fair surface-level impression; however, is AI truly better than an average human for cognitive tasks? Frontier models like o1 from OpenAI and Claude 3.5 Sonnet from Anthropic do perform better than expert humans in a number of fields, including law, coding, and math. Why, then, can’t ChatGPT solve some simple spatial reasoning tasks or some silly trick questions? Well, we are still talking about “large language models"—they take in a ton of letters and try to predict what letters to spit out for a given query. Notice, that nowhere in this equation the actual “thinking” is mentioned. The models are stochastic parrots of a sort, as they try to retrieve the right information from their training dataset instead of actually considering your question. At least, this was the case until OpenAI released o1-preview, but more on this later. stochastic parrots Among those who started questioning the existing LLM benchmarks for relevance is the author of “AI Explained” a popular YouTube channel of which I’m a big fan. Phillip (the YouTuber’s name) noticed that the industry standard benchmarks have a clear style of questions that are also mostly publicly available. This means that not only can those exact questions be part of the training dataset, but due to standardization, it is easier for models to spot & apply patterns from the overall training data. Put simply, AI researchers who create groundbreaking complex tech can surely find a way to give their model the relevant questions and answers to “remember” before benchmarking. Looking at the results of the top model out there, o1 from OpenAI, one can imply that it scores above average in a lot of professional domains. And this is true, but this result relies on the availability of relevant training data and past examples from those specific fields. Don’t get me wrong, the models are now amazing at giving textbook answers to textbook questions, and this in itself is insanely impressive. The term “artificial intelligence," though, implies a bit more than just information retrieval; there should be some actual thinking involved. So a logical follow-up to all of the impressive numbers above is whether such “AI” can answer a tricky reasoning question. Does it have any spatial intelligence? Or can it navigate well in common social scenarios? The answer is - sometimes. Unlike field-specific questions with predefined answers, problems that humans solve on a daily basis often require understanding the context beyond natural language (which is the only thing LLMs have). Above are the top scorers on the SIMPLE benchmark, which gives LLMs questions that an average person would deem trivial but the models can’t necessarily answer yet. We are used to seeing AI doing so much better than an average human in exams or specialized benchmarks, but here, the top model performance is actually just 41.7% (o1-preview) vs. 83.7% of an average human. This benchmark uses 200 multiple-choice text questions focused on spatio-temporal reasoning, social intelligence, and trick questions. The most important feature of the benchmark is that those questions are not publicly available, so AI labs cannot just add them to their training data. You can learn more about this benchmark here . here This new approach to measuring LLM performance shows just how far all the models still are from an average human reasoning capability. The quicker this gap closes in the coming months, the more definitive the answer “yes” to our headline becomes. An interesting new metric to look out for if you are enthusiastic but cautious about AI.

AI vs Human - Is the Machine Already Superior? 

الذكاء الاصطناعي مقابل الإنسان - هل الآلة متفوقة بالفعل؟

KI vs Mensch – Ist die Maschine schon überlegen?

IA vs. humanos: ¿la máquina ya es superior?

AI protiv čovjeka - je li stroj već superioran? 

Intelligenza artificiale contro uomo: la macchina è già superiore?

AI vs 人間 - 機械はすでに優れているのか?

AI prieš žmogų – ar mašina jau pranašesnė? 

Sztuczna inteligencja kontra człowiek – czy maszyna jest już lepsza?

AI بمقابله انسان - ایا ماشین دمخه غوره دی؟ 

AI vs Aadanaha - Mashiinku mar hore ma ka sarreeyaa? 

AI vs மனித - இயந்திரம் ஏற்கனவே உயர்ந்ததா? 

AI กับ มนุษย์ - เครื่องจักรเหนือกว่าแล้วจริงหรือ?

One key concept central to ensuring that AI remains a tool that benefits humanity rather than harms it is the notion of "Human in the Loop" (HITL). But what exactly is HITL, and why is it so vital in today’s AI landscape? What is "Human in the Loop"? Human in the Loop (HITL) refers to a system design in which humans are actively involved in the decision-making process of an AI system. Unlike fully automated AI systems that operate without any human intervention, HITL systems incorporate human judgment at critical stages—especially when decisions involve high stakes or ethical considerations. This model relies on a combination of machine efficiency and human intuition, ensuring that the final output is aligned with human values and societal norms. The Importance of a "Kill Switch" One of the most crucial aspects of HITL systems is the integration of a "kill switch" or an emergency stop mechanism. This is a literal or metaphorical button that allows human operators to override AI decisions or shut down the system entirely if it starts behaving in unintended or harmful ways. A kill switch is not just a precaution; it is a safeguard that recognizes the inherent unpredictability of AI systems, especially as they grow more complex and autonomous. AI, by design, can learn and adapt in ways that even its creators might not fully anticipate. Without the ability for a human to intervene—whether to halt a runaway algorithm or correct a decision that could have disastrous consequences—we risk losing control over the very technologies we created. This is particularly critical in sectors like healthcare, finance, and law enforcement, where AI-driven decisions can significantly impact human lives. Why HITL is Essential for Ethical and Safe AI As AI continues to infiltrate our daily lives, from facial recognition systems to predictive policing algorithms, ethical concerns have risen to the forefront. HITL is essential to ensuring that AI systems remain fair, transparent, and aligned with human rights. For instance, without human oversight, AI algorithms trained on biased data can perpetuate or even exacerbate discrimination. By keeping humans in the loop, we introduce a level of accountability that purely automated systems lack. Moreover, HITL offers a vital counterbalance to the "black box" nature of many AI systems. These systems often provide outputs without clear explanations of how they reached their conclusions. Human oversight allows us to question, validate, and adjust these decisions, reducing the risks associated with opaque or unexplainable outcomes. The Unseen Influence of AI on Our Lives Even without us fully realizing it, AI is already shaping our behaviors and choices. Social media algorithms decide which content we see, influencing our opinions and emotions. Recommender systems on platforms like YouTube, Netflix, and Amazon subtly guide our consumption habits, reinforcing our preferences while sometimes trapping us in echo chambers. The concerning part is that many of these AI-driven systems operate without meaningful human intervention or oversight. They are optimized for engagement and profit, often at the expense of societal well-being. These systems continuously learn from our interactions, amplifying biases, spreading misinformation, and fueling polarization—all without our conscious input or control. This highlights the urgent need for HITL in AI governance. By incorporating human judgment, we can steer these systems away from harmful outcomes, ensuring that they work for us rather than against us. Conclusion: A Call for Responsible AI Design Human in the Loop is more than a technical framework; it’s a philosophical stance that recognizes the limits of automation. As AI becomes more embedded in the fabric of our society, we must resist the temptation to hand over full control to machines. We must maintain a human presence, not just as operators but as moral arbiters, constantly assessing whether these systems are truly serving the common good. A future where AI operates unchecked and devoid of human oversight is not a distant dystopia; it’s a possibility that’s already creeping into our reality. By embracing HITL and embedding robust kill switches into AI systems, we can ensure that technology remains a tool that empowers humanity rather than endangering it. In an age where machines can learn and adapt faster than ever before, keeping humans in the loop is not just advisable—it’s essential. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com One key concept central to ensuring that AI remains a tool that benefits humanity rather than harms it is the notion of "Human in the Loop" (HITL). But what exactly is HITL, and why is it so vital in today’s AI landscape? What is "Human in the Loop"? Human in the Loop (HITL) refers to a system design in which humans are actively involved in the decision-making process of an AI system. Unlike fully automated AI systems that operate without any human intervention, HITL systems incorporate human judgment at critical stages—especially when decisions involve high stakes or ethical considerations. This model relies on a combination of machine efficiency and human intuition, ensuring that the final output is aligned with human values and societal norms. system design in which humans are actively involved The Importance of a "Kill Switch" One of the most crucial aspects of HITL systems is the integration of a "kill switch" or an emergency stop mechanism . This is a literal or metaphorical button that allows human operators to override AI decisions or shut down the system entirely if it starts behaving in unintended or harmful ways. A kill switch is not just a precaution; it is a safeguard that recognizes the inherent unpredictability of AI systems, especially as they grow more complex and autonomous. integration of a "kill switch" or an emergency stop mechanism AI, by design, can learn and adapt in ways that even its creators might not fully anticipate. Without the ability for a human to intervene—whether to halt a runaway algorithm or correct a decision that could have disastrous consequences—we risk losing control over the very technologies we created. This is particularly critical in sectors like healthcare, finance, and law enforcement, where AI-driven decisions can significantly impact human lives. Why HITL is Essential for Ethical and Safe AI As AI continues to infiltrate our daily lives, from facial recognition systems to predictive policing algorithms, ethical concerns have risen to the forefront. HITL is essential to ensuring that AI systems remain fair, transparent, and aligned with human rights. For instance, without human oversight, AI algorithms trained on biased data can perpetuate or even exacerbate discrimination. By keeping humans in the loop, we introduce a level of accountability that purely automated systems lack. Moreover, HITL offers a vital counterbalance to the "black box" nature of many AI systems . These systems often provide outputs without clear explanations of how they reached their conclusions. Human oversight allows us to question, validate, and adjust these decisions, reducing the risks associated with opaque or unexplainable outcomes. "black box" nature of many AI systems The Unseen Influence of AI on Our Lives Even without us fully realizing it, AI is already shaping our behaviors and choices. Social media algorithms decide which content we see, influencing our opinions and emotions. Recommender systems on platforms like YouTube, Netflix, and Amazon subtly guide our consumption habits, reinforcing our preferences while sometimes trapping us in echo chambers. The concerning part is that many of these AI-driven systems operate without meaningful human intervention or oversight. They are optimized for engagement and profit, often at the expense of societal well-being. These systems continuously learn from our interactions, amplifying biases, spreading misinformation, and fueling polarization—all without our conscious input or control. This highlights the urgent need for HITL in AI governance. By incorporating human judgment, we can steer these systems away from harmful outcomes, ensuring that they work for us rather than against us. Conclusion: A Call for Responsible AI Design Human in the Loop is more than a technical framework; it’s a philosophical stance that recognizes the limits of automation. As AI becomes more embedded in the fabric of our society, we must resist the temptation to hand over full control to machines. We must maintain a human presence, not just as operators but as moral arbiters, constantly assessing whether these systems are truly serving the common good. A future where AI operates unchecked and devoid of human oversight is not a distant dystopia; it’s a possibility that’s already creeping into our reality. By embracing HITL and embedding robust kill switches into AI systems, we can ensure that technology remains a tool that empowers humanity rather than endangering it. In an age where machines can learn and adapt faster than ever before, keeping humans in the loop is not just advisable—it’s essential. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com https://docligot.com

Human in the Loop: A Crucial Safeguard in the Age of AI

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