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ORANGEBURG — South Carolina State University, a public historically Black university in Orangeburg, received a $200,000 grant from Aflac to expand its research centers and bring greater equity to medical fields.

SC historically Black university receives grant for medical equity

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Given the value placed on data in this age, breaching systems to cause data leaks is unsurprisingly the mainstay of malicious cyber actors today. And businesses are still grappling with this reality and leaving their defenses open despite the spate of rising data leakages and breaches globally. Understanding the common causes of data leaks is crucial for implementing effective measures. In this article, we explore five of the prominent causes, highlighting how they occur as well as examples to demonstrate the pervasiveness of data leaks. cybersecurity Software Misconfiguration Despite the apparent danger, many individuals and organizations leave default passwords unchanged. This is just one example of how misconfiguration of settings can allow attackers to infiltrate systems, databases, cloud services, applications, etc. At other times, a misconfiguration can occur when a program’s settings do not align with the organization’s security policy, and so permits unintended behavior. This is basic cyber hygiene, but even big tech companies can leave certain things out. Back in 2021, for example, made the news for the wrong reasons when 38 million customer records, including sensitive information, were exposed online due to a misconfiguration of its Power Apps portal service. Microsoft Particularly, organizations should be careful when migrating services or data to cloud environments – misconfigurations are common with this action and can arise simply from not following or not understanding the instructions. Ransomware According to a recent , global ransomware attacks surged in the past year and recorded an all-time eye. report on the state of ransomware Amidst these, the US is the biggest victim, suffering 43% of global recorded attacks, with zero-day exploitations by malicious actors playing a huge role in the increase in attacks. So, ransomware attacks are not only growing in number but also in sophistication. And for this, organizations have to heighten their vigilance to prevent data leaks. Source: Statista Notably, DISH, the satellite broadcast company, in February. The attack led to significant outages in its internal servers and IT systems and leaked belonging to about 300,000 people. was hit by a ransomware attack personal information But this is only one of the several ransomware attacks that have hit various organizations and facilities. Data Theft Over the past few years, insider attacks have become a growing concern, with malicious insiders becoming particularly a worry for data theft. Such concerns contributed to the development of zero-trust cybersecurity solutions since anyone can be a malicious insider, with greater risks assigned to privileged users with access to sensitive information. Source: Statista This is not to rule out the role of external elements in data theft, though. A German newspaper, earlier this year, ran a report detailing a myriad of safety concerns expressed by Tesla customers. According to the electric car company, the confidential data provided to the newspaper , although it couldn’t tell whether an insider was responsible or an external actor. was stolen from its system Third-Party Breach Third-party breaches have become a particularly beneficial mode of attack for malicious actors because of the potential of acquiring several victims from just one hit. For instance, , in 2022, 63 vendor attacks led to 298 data breaches across companies. according to a third-party breach report In January, two insurance companies – Aflac and Zurich Auto Insurance – suffered a including the information of at least 2 million policyholders with the two companies combined. data leak that affected millions of records According to reports, an unnamed US subcontractor was involved although it was not certain that both data breaches were connected. This shows the cascading effects of third-party data breaches and underscores why organizations must stop at nothing to ensure that they only partner with companies and vendors that have strong security protocols in place. Software (API) Vulnerability were a groundbreaking revelation in software development, but their proliferation has exacerbated the risks of data exposure since sensitive data is increasingly being shared via this medium. APIs So, API vulnerabilities, such as broken authentication issues easily jeopardize the software’s security and can allow malicious actors to access data illegally. Source: VentureBeat An API vulnerability in Twitter’s software allowed threat actors to . Although this happened back in 2021, and the breach was fixed in January of the following year, by mid-2022, the data sets started going on sale on the dark web and were eventually published for free. steal the email records of over 200 million users Email data are typical targets for phishing and social engineering attacks. How to Prevent Data Leakage Preventing data leakage is not an impossible task, although, due to the increasingly these days, it can be very tough to handle. However, these few steps should help you overcome the most common causes of data leakage. sophisticated nature of cyber attacks Implement a strong data detection and response solution: Unlike traditional systems, DDR solutions prioritize behavioral analytics and real-time monitoring via machine learning to automatically identify and respond to data incidents. data loss prevention Evaluate third-party risks: working with a third party, especially when it involves exchanging data, can no longer be business as usual. The risks of your partners are yours too, so you must know where both companies stand and how you can complement, not endanger, each other, . security-wise Secure all endpoints: there has been a huge increase in the number of points that communicate with business networks. Plus, they are dispersed too, and sometimes internationally. Adopting a zero-trust approach helps prevent endpoints from becoming leeway for attacks. remote access Cybersecurity hygiene: as identified earlier, data leakage can simply be due to unhygienic practices. Methods such as encryption, data backups, password management, etc. are not outdated; they should all be in place to help you maintain your guard. Conclusion Proactive measures, regular security assessments, and a comprehensive cybersecurity strategy are key to mitigating the risks associated with data leakage. As we have seen from the examples, every kind of business, even the biggest tech companies, suffers from this challenge. Therefore, data security is something that all business leaders must take seriously from now. Also published here

Here Are the Most Common Causes of Data Leakage in 2023: What You Should Know

Have you ever heard the phrase, “people don’t buy products; they buy feelings”? The future of business is all about giving customers what they want – not just a product or service, but a feeling that they are doing something good for the world. More and more, consumers are in search of businesses that can demonstrate their social responsibility. And let's face it – the state of the world in 2022 certainly calls for a little TLC from the business community. The environment is suffering, the economy is struggling, and social inequality is on the rise. It's not all doom and gloom, however; in fact, there are some businesses already beginning to make headway in the social responsibility arena. I interviewed the CEO and founder of one such business on how to get started as a socially responsible organization. Paul Shapiro of The Better Meat Co. In one of my most recent episodes of the Success Story Podcast, I had the privilege of speaking with Paul Shapiro, co-founder and CEO of The Better Meat Co. Here's a brief bio on Paul: He’s the author of the national bestseller Clean Meat: How Growing Meat Without Animals Will Revolutionize Dinner and the World. He is CEO of The Better Meat Co., a socially responsible and cruelty-free animal-free meat company. He’s a four-time TEDx speaker, and host of the Business for Good Podcast. And if that wasn’t enough, he has published articles in the Washington Post, Scientific American, FORTUNE, and more. Paul grew up with a love of animals, and he was always confronted by the ethical dilemma of meat consumption. After twenty years of working in the nonprofit space as a lobbyist and advocate for animals, he became increasingly interested in the role that food technology could play in helping to solve some of the world's most pressing problems, like climate change and global hunger. This is what (eventually) led him to start The Better Meat Co., a company that creates delicious, healthy, and humane meat alternatives that are better for both people and the planet. Note: There's a lot more to his story than this brief overview, so if you're interested in hearing more about Paul, I'd highly recommend listening to his Success Story Podcast episode here: Why do we need socially responsible businesses in 2022? Paul’s company, The Better Meat Co., is an excellent example of a business that is both socially and environmentally responsible. Using the power of fermentation and harnessing the nutrients offered by mycoprotein, The Better Meat Co. is able to create a healthy, sustainable, and ethical product that actually tastes like meat. In doing so, Paul's mission is to lighten the burden that animal agriculture places on the environment, while also helping to improve the treatment of animals. With an increase in awareness of the detrimental issues our planet is facing, it’s never been more important for businesses to consider their social responsibility. Paul gave a compelling reason as to why 2022 is the year for businesses to step up and become more socially responsible. "Think about the fact that there's nearly 8 billion of us walking around on the planet today, and we're going to have another 2 billion added to the planet [in the next 30 years]. We're not going to be farming the moon, we're not going to be farming Mars; we have one planet to farm, right? That's Earth, and it's not getting any bigger." Earth is finite, and as such, we are all responsible for looking after its resources. But businesses don’t have to focus on animal agriculture, like The Better Meat Co. – there are so many more global issues needing our attention, such as: Climate change and its impact on the environment,Sourcing sustainable materials and products,The ethical treatment of employees,Community engagement and giving back,And the list goes on. Typically, businesses hold more economic and social influence than individuals. By stepping into a more socially responsible role as a business, you can make an enormous impact on issues affecting your local space, and even national or international issues. Social responsibility from a business perspective The concept of corporate social responsibility (CSR) isn't just about doing the right thing. It's also an excellent strategy from a business point of view, which is why the corporate world has begun to see a noticeable shift toward the . Decade of Purpose In the 2000s, business leaders were primarily focused on connection; in the 2010s, convenience; and now in the 2020s, they're focused on how to make a positive impact on society. This is partially due to the emergence of more sustainably-minded people stepping into leadership roles in the past decade – but the same can't be true for all businesses, so why the sudden change? Simply put, purpose-driven businesses are more successful. Take a look at these telling facts and figures: According to Cone Communications and Echo Research, would switch to socially responsible brands, and would decline doing business with an unethical brandNielsen IQ reports that will pay extra for products that contribute to a good cause favor companies that can demonstrate their corporate social responsibility efforts, according to Aflac 90% of shoppers globally 76% of consumers 55% of consumers 61% of investors Not only that, but CSR is becoming almost essential for sourcing and securing top talent.  Millennials in particular are drawn to purpose-driven businesses, and many will turn down a job offer from a company that doesn’t have a social conscience. According to the Cone Communications on Millennial Employment Engagement: 2016 study 64% of millennials take CSR into serious consideration when deciding where to work, and will not take a job unless the company demonstrates strong CSR values83% will be more loyal to their company if it helps them to take on more social responsibility as part of their role (as compared to the 70% U.S. average)88% find their jobs more fulfilling if they are able to contribute to alleviating social and environmental issues Clearly, consumers and employees alike are looking for businesses with heart. So what does it take to start your own socially responsible business? Let’s turn back to Paul Shapiro of The Better Meat Co. for some expert advice on how he began his ethically responsible business. Starting your purpose-driven and socially responsible business When Paul began putting his vision into action, he wasn’t an expert in the field by any means. He’d written books about the concept of technology’s role in sustainable food production, but he was starting a business, not just preaching about the topic. Still, The Better Meat Co. ended up a resounding success – so how did he do it? Let's see what Paul had to say, and what we can observe from his inspirational success. First, start with a vision You can't hope to achieve anything if you don't have a clear idea of what it is you're working for. Paul's vision for The Better Meat Co. was to create meat products that were tasty for people, yet caused no harm to animals, the environment, or society. There was a clear vision and purpose behind the company, and it was communicated effectively to both employees and customers. "I had a decision to make," Paul said in his interview. "I had just written this book, and was going on tour to talk about great entrepreneurs who I thought would end up saving the world. And so I thought, I could continue to simply write about the people who I thought were going to solve this problem, or I could become one of them myself. And I chose the latter path." Clearly, Paul had a vision – and you need one too, if you want to start a socially responsible business. What's your vision? What's the problem you're trying to solve? How can your business make a positive impact on the world? Surround yourself with the right people Although Paul was clearly a go-getter, he didn't have entrepreneurial experience in the beginning of his career as a CEO. However, he found a clever way to remedy this; he surrounded himself with people who had the knowledge he needed. Paul researched other meat alternative companies in order to learn more about fermentation and fungi-based mycoprotein – but the majority of people he surrounded himself with, as it turns out, weren't experts in his field at all. They were motivated individuals who shared his same passion for making change. "If you read [my book] Clean Meat, one of the things you notice is that many of the people who I talk about in the book are not people who are seasoned entrepreneurs, or people who have PhDs. Many of the entrepreneurs are people who just wanted to make a difference." When you're starting your own socially responsible business, follow Paul's lead and find like-minded individuals who share your same values and goals. This will help you to create a supportive community – one that can offer advice, mentorship, and resources when needed. As once famously said, If you want to start a successful, purpose-driven business, then it's important to surround yourself with people who will reaffirm your vision and help you achieve your goals. Jim Rohn "You are the average of the five people you spend the most time with." Read up on case studies and get inspired When you are first starting out on your mission to build a socially responsible business, you're full of energy, ideas, and adrenaline. It can be tempting to barge on ahead without taking the time to do your research and learn from those who have come before you. Remember, though, that you can gain a lot from studying the successes (and failures) of others. In his interview, Paul spoke about a highly successful startup that inspired him at the beginning of his journey: Perfect Day. Perfect Day creates dairy milk without the need for cows, using yeast to ferment sugars from plants. The company's products hit shelves in 2018, and they're already being stocked in major grocery stores like Kroger and Safeway. Looking into other businesses that have found success with a social conscience gave Paul the push he needed to start his own venture. "Those stories about mere mortals who were making this happen were inspirational to me, because I thought, And they have done a phenomenal job running their company, and I hope to have a fraction of the success that they're having." 'hey, if these guys can do it, maybe I can, too'. If you are someone who resists against learning from others, this is likely a difficult concept to grasp. Perhaps you are driven to do everything on your own merit, or you may even harbor competitive feelings toward other businesses with a social conscience. However, it's important to remember that you can learn a lot from those who have gone before you. Soak up their successes, failures, and lessons learned to help make your own journey smoother. Conduct industry research You're feeling inspired, and you've surrounded yourself with like-minded individuals – so where do you go from here? This is where we get into the nuts and bolts of launching your socially responsible business, starting with industry research. Industry research is a little different to market research in that you're looking to answer the following questions: What are the current industry trends?Who are the key players in the industry?What are the major challenges and opportunities facing the industry? Rather than looking at the figures for your specific product or service, you're looking at the trends in the industry as a whole and trying to work out how your business can fit into that. Paul's industry is one that has evolved almost exponentially in the last few years. The Better Meat Co was born out of a realization that the traditional meat industry was broken, and that there was a huge opportunity to create a more sustainable, ethical, and profitable business model. For example: But there was more industry research to be done within that specific niche. "When you go back about five or so years ago, you get companies like Impossible Foods and Beyond Meat who are trying to make products for diehard carnivores; something that really fully mimics the meat experience,” Paul explained. “So all of a sudden, you have this huge universe of omnivores who are happy to eat plant based every once in a while, especially if it still tastes the same as meat. And those companies really paved a new pathway." Like Paul, your industry will have an entire landscape that you need to understand before starting your socially responsible business. Who are the major players? What challenges do they face? What new technologies or ideas are emerging in the space? By understanding the industry as a whole, you can start to see how your business can make a difference. Final thoughts: launching a business that makes a difference There are obviously many more steps you'll need to take in order to launch a successful business, but Paul Shapiro's experience and advice provide a great starting point for those looking to make a difference with their business. Let's run through a quick recap of what we've learned: First, it's important to have a and how it will make a difference in the world. This can help inform all other aspects of your business, from branding to marketing to operations. clear idea of what you want your business to achieve Once you have that vision in place, it's important to and can help you turn that vision into a reality. surround yourself with people who share your values Next and find out what worked (and what didn't) for them. , learn from others who have started similar businesses And finally, in terms of emerging trends, opportunities, and challenges. conduct a thorough analysis of the industry you want to enter With social responsibility, keep in mind that it's not just the startups who can make a difference. Established businesses can also make a big impact by making small tweaks to their operations, and there are that can help you get started. plenty of resources and organizations If you're feeling inspired to start your own socially responsible business, I hope this article has given you some valuable insights to help you get started. And remember – my interview with Paul Shapiro is live on , so be sure to check it out for more tips on how to make your business a force for good. my YouTube channel

How to Start a Socially Responsible Business in 2022

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Personal Recollections of Joan of Arc — Volume 1 by Mark Twain, is part of the HackerNoon Books Series. You can jump to any chapter in this book . All Aflame with Love of France here All Aflame with Love of France SPEAKING of this matter reminds me of many incidents, many things that I could tell, but I think I will not try to do it now. It will be more to my present humor to call back a little glimpse of the simple and colorless good times we used to have in our village homes in those peaceful days—especially in the winter. In the summer we children were out on the breezy uplands with the flocks from dawn till night, and then there was noisy frolicking and all that; but winter was the cozy time, winter was the snug time. Often we gathered in old Jacques d’Arc’s big dirt-floored apartment, with a great fire going, and played games, and sang songs, and told fortunes, and listened to the old villagers tell tales and histories and lies and one thing and another till twelve o’clock at night. One winter’s night we were gathered there—it was the winter that for years afterward they called the hard winter—and that particular night was a sharp one. It blew a gale outside, and the screaming of the wind was a stirring sound, and I think I may say it was beautiful, for I think it is great and fine and beautiful to hear the wind rage and storm and blow its clarions like that, when you are inside and comfortable. And we were. We had a roaring fire, and the pleasant spit-spit of the snow and sleet falling in it down the chimney, and the yarning and laughing and singing went on at a noble rate till about ten o’clock, and then we had a supper of hot porridge and beans, and meal cakes with butter, and appetites to match. Little Joan sat on a box apart, and had her bowl and bread on another one, and her pets around her helping. She had more than was usual of them or economical, because all the outcast cats came and took up with her, and homeless or unlovable animals of other kinds heard about it and came, and these spread the matter to the other creatures, and they came also; and as the birds and the other timid wild things of the woods were not afraid of her, but always had an idea she was a friend when they came across her, and generally struck up an acquaintance with her to get invited to the house, she always had samples of those breeds in stock. She was hospitable to them all, for an animal was an animal to her, and dear by mere reason of being an animal, no matter about its sort or social station; and as she would allow of no cages, no collars, no fetters, but left the creatures free to come and go as they liked, that contented them, and they came; but they didn’t go, to any extent, and so they were a marvelous nuisance, and made Jacques d’Arc swear a good deal; but his wife said God gave the child the instinct, and knew what He was doing when He did it, therefore it must have its course; it would be no sound prudence to meddle with His affairs when no invitation had been extended. So the pets were left in peace, and here they were, as I have said, rabbits, birds, squirrels, cats, and other reptiles, all around the child, and full of interest in her supper, and helping what they could. There was a very small squirrel on her shoulder, sitting up, as those creatures do, and turning a rocky fragment of prehistoric chestnut-cake over and over in its knotty hands, and hunting for the less indurated places, and giving its elevated bushy tail a flirt and its pointed ears a toss when it found one—signifying thankfulness and surprise—and then it filed that place off with those two slender front teeth which a squirrel carries for that purpose and not for ornament, for ornamental they never could be, as any will admit that have noticed them. Everything was going fine and breezy and hilarious, but then there came an interruption, for somebody hammered on the door. It was one of those ragged road-stragglers—the eternal wars kept the country full of them. He came in, all over snow, and stamped his feet, and shook, and brushed himself, and shut the door, and took off his limp ruin of a hat, and slapped it once or twice against his leg to knock off its fleece of snow, and then glanced around on the company with a pleased look upon his thin face, and a most yearning and famished one in his eye when it fell upon the victuals, and then he gave us a humble and conciliatory salutation, and said it was a blessed thing to have a fire like that on such a night, and a roof overhead like this, and that rich food to eat, and loving friends to talk with—ah, yes, this was true, and God help the homeless, and such as must trudge the roads in this weather. Nobody said anything. The embarrassed poor creature stood there and appealed to one face after the other with his eyes, and found no welcome in any, the smile on his own face flickering and fading and perishing, meanwhile; then he dropped his gaze, the muscles of his face began to twitch, and he put up his hand to cover this womanish sign of weakness. “Sit down!” This thunder-blast was from old Jacques d’Arc, and Joan was the object of it. The stranger was startled, and took his hand away, and there was Joan standing before him offering him her bowl of porridge. The man said: “God Almighty bless you, my darling!” and then the tears came, and ran down his cheeks, but he was afraid to take the bowl. “Do you hear me? Sit down, I say!” There could not be a child more easy to persuade than Joan, but this was not the way. Her father had not the art; neither could he learn it. Joan said: “Father, he is hungry; I can see it.” “Let him work for food, then. We are being eaten out of house and home by his like, and I have said I would endure it no more, and will keep my word. He has the face of a rascal anyhow, and a villain. Sit down, I tell you!” “I know not if he is a rascal or no, but he is hungry, father, and shall have my porridge—I do not need it.” “If you don’t obey me I’ll—Rascals are not entitled to help from honest people, and no bite nor sup shall they have in this house. Joan!” She set her bowl down on the box and came over and stood before her scowling father, and said: “Father, if you will not let me, then it must be as you say; but I would that you would think—then you would see that it is not right to punish one part of him for what the other part has done; for it is that poor stranger’s head that does the evil things, but it is not his head that is hungry, it is his stomach, and it has done no harm to anybody, but is without blame, and innocent, not having any way to do a wrong, even if it was minded to it. Please let—” “What an idea! It is the most idiotic speech I ever heard.” But Aubrey, the maire, broke in, he being fond of an argument, and having a pretty gift in that regard, as all acknowledged. Rising in his place and leaning his knuckles upon the table and looking about him with easy dignity, after the manner of such as be orators, he began, smooth and persuasive: “I will differ with you there, gossip, and will undertake to show the company”—here he looked around upon us and nodded his head in a confident way—“that there is a grain of sense in what the child has said; for look you, it is of a certainty most true and demonstrable that it is a man’s head that is master and supreme ruler over his whole body. Is that granted? Will any deny it?” He glanced around again; everybody indicated assent. “Very well, then; that being the case, no part of the body is responsible for the result when it carries out an order delivered to it by the head; ergo, the head is alone responsible for crimes done by a man’s hands or feet or stomach—do you get the idea? am I right thus far?” Everybody said yes, and said it with enthusiasm, and some said, one to another, that the maire was in great form to-night and at his very best—which pleased the maire exceedingly and made his eyes sparkle with pleasure, for he overheard these things; so he went on in the same fertile and brilliant way. “Now, then, we will consider what the term responsibility means, and how it affects the case in point. Responsibility makes a man responsible for only those things for which he is properly responsible”—and he waved his spoon around in a wide sweep to indicate the comprehensive nature of that class of responsibilities which render people responsible, and several exclaimed, admiringly, “He is right!—he has put that whole tangled thing into a nutshell—it is wonderful!” After a little pause to give the interest opportunity to gather and grow, he went on: “Very good. Let us suppose the case of a pair of tongs that falls upon a man’s foot, causing a cruel hurt. Will you claim that the tongs are punishable for that? The question is answered; I see by your faces that you would call such a claim absurd. Now, why is it absurd? It is absurd because, there being no reasoning faculty—that is to say, no faculty of personal command—in a pair of tongs, personal responsibility for the acts of the tongs is wholly absent from the tongs; and, therefore, responsibility being absent, punishment cannot ensue. Am I right?” A hearty burst of applause was his answer. “Now, then, we arrive at a man’s stomach. Consider how exactly, how marvelously, indeed, its situation corresponds to that of a pair of tongs. Listen—and take careful note, I beg you. Can a man’s stomach plan a murder? No. Can it plan a theft? No. Can it plan an incendiary fire? No. Now answer me—can a pair of tongs?” (There were admiring shouts of “No!” and “The cases are just exact!” and “Don’t he do it splendid!”) “Now, then, friends and neighbors, a stomach which cannot plan a crime cannot be a principal in the commission of it—that is plain, as you see. The matter is narrowed down by that much; we will narrow it further. Can a stomach, of its own motion, assist at a crime? The answer is no, because command is absent, the reasoning faculty is absent, volition is absent—as in the case of the tongs. We perceive now, do we not, that the stomach is totally irresponsible for crimes committed, either in whole or in part, by it?” He got a rousing cheer for response. “Then what do we arrive at as our verdict? Clearly this: that there is no such thing in this world as a guilty stomach; that in the body of the veriest rascal resides a pure and innocent stomach; that, whatever it’s owner may do, it at least should be sacred in our eyes; and that while God gives us minds to think just and charitable and honorable thoughts, it should be, and is, our privilege, as well as our duty, not only to feed the hungry stomach that resides in a rascal, having pity for its sorrow and its need, but to do it gladly, gratefully, in recognition of its sturdy and loyal maintenance of its purity and innocence in the midst of temptation and in company so repugnant to its better feelings. I am done.” Well, you never saw such an effect! They rose—the whole house rose—an clapped, and cheered, and praised him to the skies; and one after another, still clapping and shouting, they crowded forward, some with moisture in their eyes, and wrung his hands, and said such glorious things to him that he was clear overcome with pride and happiness, and couldn’t say a word, for his voice would have broken, sure. It was splendid to see; and everybody said he had never come up to that speech in his life before, and never could do it again. Eloquence is a power, there is no question of that. Even old Jacques d’Arc was carried away, for once in his life, and shouted out: “It’s all right, Joan—give him the porridge!” She was embarrassed, and did not seem to know what to say, and so didn’t say anything. It was because she had given the man the porridge long ago and he had already eaten it all up. When she was asked why she had not waited until a decision was arrived at, she said the man’s stomach was very hungry, and it would not have been wise to wait, since she could not tell what the decision would be. Now that was a good and thoughtful idea for a child. The man was not a rascal at all. He was a very good fellow, only he was out of luck, and surely that was no crime at that time in France. Now that his stomach was proved to be innocent, it was allowed to make itself at home; and as soon as it was well filled and needed nothing more, the man unwound his tongue and turned it loose, and it was really a noble one to go. He had been in the wars for years, and the things he told and the way he told them fired everybody’s patriotism away up high, and set all hearts to thumping and all pulses to leaping; then, before anybody rightly knew how the change was made, he was leading us a sublime march through the ancient glories of France, and in fancy we saw the titanic forms of the twelve paladins rise out of the mists of the past and face their fate; we heard the tread of the innumerable hosts sweeping down to shut them in; we saw this human tide flow and ebb, ebb and flow, and waste away before that little band of heroes; we saw each detail pass before us of that most stupendous, most disastrous, yet most adored and glorious day in French legendary history; here and there and yonder, across that vast field of the dead and dying, we saw this and that and the other paladin dealing his prodigious blows with weary arm and failing strength, and one by one we saw them fall, till only one remained—he that was without peer, he whose name gives name to the Song of Songs, the song which no Frenchman can hear and keep his feelings down and his pride of country cool; then, grandest and pitifulest scene of all, we saw his own pathetic death; and our stillness, as we sat with parted lips and breathless, hanging upon this man’s words, gave us a sense of the awful stillness that reigned in that field of slaughter when that last surviving soul had passed. And now, in this solemn hush, the stranger gave Joan a pat or two on the head and said: “Little maid—whom God keep!—you have brought me from death to life this night; now listen: here is your reward,” and at that supreme time for such a heart-melting, soul-rousing surprise, without another word he lifted up the most noble and pathetic voice that was ever heard, and began to pour out the great Song of Roland! Think of that, with a French audience all stirred up and ready. Oh, where was your spoken eloquence now! what was it to this! How fine he looked, how stately, how inspired, as he stood there with that mighty chant welling from his lips and his heart, his whole body transfigured, and his rags along with it. Everybody rose and stood while he sang, and their faces glowed and their eyes burned; and the tears came and flowed down their cheeks and their forms began to sway unconsciously to the swing of the song, and their bosoms to heave and pant; and moanings broke out, and deep ejaculations; and when the last verse was reached, and Roland lay dying, all alone, with his face to the field and to his slain, lying there in heaps and winrows, and took off and held up his gauntlet to God with his failing hand, and breathed his beautiful prayer with his paling pips, all burst out in sobs and wailings. But when the final great note died out and the song was done, they all flung themselves in a body at the singer, stark mad with love of him and love of France and pride in her great deeds and old renown, and smothered him with their embracings; but Joan was there first, hugged close to his breast, and covering his face with idolatrous kisses. The storm raged on outside, but that was no matter; this was the stranger’s home now, for as long as he might please. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Mark Twain (2004). Personal Recollections of Joan of Arc — Volume 1. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/2874/pg2874-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

All Aflame with Love of France

FreeEval: The Ethical Concerns

Table of Links Abstract and 1. Introduction 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 4 The Future of GPT4All Limitations and References Limitations By enabling access to large language models, the GPT4All project also inherits many of the ethical concerns associated with generative models. Principal among these is the concern that unfiltered language models like GPT4All enable malicious users to generate content that could be harmful and dangerous (e.g., instructions on building bioweapons). While we recognize this risk, we also acknowledge the risk of concentrating this technology in the hands of a limited number of increasingly secretive research groups. We believe that the risk of focusing on the benefits of language model technology significantly outweighs the risk of misuse, and hence we prefer to make the technology as widely available as possible. Finally, we realize the challenge in assigning credit for large-scale open source initiatives. We make a first attempt at fair credit assignment by explicitly including the GPT4All open source developers as authors on this work, but recognize that this is insufficient fully characterize everyone involved in the GPT4All effort. Furthermore, we acknowledge the difficulty in citing open source works that do not necessarily have standardized citations, and do our best in this paper to provide URLs to projects whenever possible. We encourage further research in the area of open source credit assignment, and hope to be able to support some of this research ourselves in the future. References Nomic AI. 2023. Atlas. https://atlas.nomic.ai/. Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023. Falcon-40B: an open large language model with state-of-the-art performance. Yuvanesh Anand, Zach Nussbaum, Brandon Duderstadt, Benjamin Schmidt, and Andriy Mulyar. 2023. Gpt4all: Training an assistant-style chatbot with large scale data distillation from gpt-3.5-turbo. https://github.com/nomic-ai/gpt4all. BBC News. 2023. Chatgpt banned in italy over privacy concerns. BBC News. Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, and Oskar van der Wal. 2023. Pythia: A suite for analyzing large language models across training and scaling. Harrison Chase. 2022. langchain. https://github. com/langchain-ai/langchain. Mike Conover, Matt Hayes, Ankit Mathur, Xiangrui Meng, Jianwei Xie, Jun Wan, Ali Ghodsi, Patrick Wendell, and Matei Zaharia. 2023a. Hello dolly: Democratizing the magic of chatgpt with open models. Mike Conover, Matt Hayes, Ankit Mathur, Jianwei Xie, Jun Wan, Sam Shah, Ali Ghodsi, Patrick Wendell, Matei Zaharia, and Reynold Xin. 2023b. Free dolly: Introducing the world’s first truly open instructiontuned llm. Xinyang Geng, Arnav Gudibande, Hao Liu, Eric Wallace, Pieter Abbeel, Sergey Levine, and Dawn Song. 2023. Koala: A dialogue model for academic research. Blog post. Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. imartinez. 2023. privategpt. https://github.com/ imartinez/privateGPT. Oscar Leo. 2023. GitHub: The Fastest Growing Repositories of All Time. Robert McMillan. 2023. A meta platforms leak put powerful ai in the hands of everyone. The Wall Street Journal. MindsDB. 2023. Mindsdb. https://github.com/ mindsdb/mindsdb. GitHub repository. MosaicML-Team. 2023. Introducing mpt-7b: A new standard for open-source, commercially usable llms. Accessed: 2023-08-07. Nous-Research. 2023a. gpt4-x-vicuna-13b. https://huggingface.co/NousResearch/ gpt4-x-vicuna-13b. Model on Hugging Face. Nous-Research. 2023b. Nous-hermes-13b. https://huggingface.co/NousResearch/ Nous-Hermes-13b. Model on Hugging Face. Nous-Research. 2023c. Nous-hermes-llama-2-7b. https://huggingface.co/NousResearch/ Nous-Hermes-llama-2-7b. Model on Hugging Face. Nous-Research. 2023d. Redmond-puffin-13b. https://huggingface.co/NousResearch/ Redmond-Puffin-13B. Model on Hugging Face. OpenAI. 2023. Gpt-4 technical report. Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, and Alexander M. Rush. 2021. Multitask prompted training enables zero-shot task generalization. Stability-AI. 2023. Stablelm. https://github.com/ Stability-AI/StableLM. GitHub repository. StanGirard. 2023. quivr. https://github.com/ StanGirard/quivr. GitHub repository. Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023. Stanford alpaca: An instruction-following llama model. https:// github.com/tatsu-lab/stanford_alpaca. Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023. Llama: Open and efficient foundation language models. The Verge. 2023. Meta’s powerful ai language model has leaked online — what happens now? The Verge. James Vincent. 2023. As an ai generated language model: The phrase that shows how ai is polluting the web. The Verge. Ben Wang and Aran Komatsuzaki. 2021. GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model. https://github.com/kingoflolz/ mesh-transformer-jax. Eric J. Wang. 2023. alpaca-lora. https://github. com/tloen/alpaca-lora. GitHub repository. Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2023. Self-instruct: Aligning language models with self-generated instructions. Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023. Wizardlm: Empowering large language models to follow complex instructions. Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. This paper is available on arxiv under CC BY 4.0 DEED license. Authors:
(1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai;
(2) Zach Nussbaum, Nomic AI, zach@nomic.ai;
(3) Adam Treat, Nomic AI, adam@nomic.ai;
(4) Aaron Miller, Nomic AI, aaron@nomic.ai;
(5) Richard Guo, Nomic AI, richard@nomic.ai;
(6) Ben Schmidt, Nomic AI, ben@nomic.ai;
(7) GPT4All Community, Planet Earth;
(8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship;
(9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 The Original GPT4All Model 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 3.3 The Current State of GPT4All 4 The Future of GPT4All 4 The Future of GPT4All Limitations and References Limitations and References Limitations By enabling access to large language models, the GPT4All project also inherits many of the ethical concerns associated with generative models. Principal among these is the concern that unfiltered language models like GPT4All enable malicious users to generate content that could be harmful and dangerous (e.g., instructions on building bioweapons). While we recognize this risk, we also acknowledge the risk of concentrating this technology in the hands of a limited number of increasingly secretive research groups. We believe that the risk of focusing on the benefits of language model technology significantly outweighs the risk of misuse, and hence we prefer to make the technology as widely available as possible. Finally, we realize the challenge in assigning credit for large-scale open source initiatives. We make a first attempt at fair credit assignment by explicitly including the GPT4All open source developers as authors on this work, but recognize that this is insufficient fully characterize everyone involved in the GPT4All effort. Furthermore, we acknowledge the difficulty in citing open source works that do not necessarily have standardized citations, and do our best in this paper to provide URLs to projects whenever possible. We encourage further research in the area of open source credit assignment, and hope to be able to support some of this research ourselves in the future. References Nomic AI. 2023. Atlas. https://atlas.nomic.ai/. Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023. Falcon-40B: an open large language model with state-of-the-art performance. Yuvanesh Anand, Zach Nussbaum, Brandon Duderstadt, Benjamin Schmidt, and Andriy Mulyar. 2023. Gpt4all: Training an assistant-style chatbot with large scale data distillation from gpt-3.5-turbo. https://github.com/nomic-ai/gpt4all. BBC News. 2023. Chatgpt banned in italy over privacy concerns. BBC News. Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, and Oskar van der Wal. 2023. Pythia: A suite for analyzing large language models across training and scaling. Harrison Chase. 2022. langchain. https://github. com/langchain-ai/langchain. Mike Conover, Matt Hayes, Ankit Mathur, Xiangrui Meng, Jianwei Xie, Jun Wan, Ali Ghodsi, Patrick Wendell, and Matei Zaharia. 2023a. Hello dolly: Democratizing the magic of chatgpt with open models. Mike Conover, Matt Hayes, Ankit Mathur, Jianwei Xie, Jun Wan, Sam Shah, Ali Ghodsi, Patrick Wendell, Matei Zaharia, and Reynold Xin. 2023b. Free dolly: Introducing the world’s first truly open instructiontuned llm. Xinyang Geng, Arnav Gudibande, Hao Liu, Eric Wallace, Pieter Abbeel, Sergey Levine, and Dawn Song. 2023. Koala: A dialogue model for academic research. Blog post. Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. imartinez. 2023. privategpt. https://github.com/ imartinez/privateGPT. Oscar Leo. 2023. GitHub: The Fastest Growing Repositories of All Time. Robert McMillan. 2023. A meta platforms leak put powerful ai in the hands of everyone. The Wall Street Journal. MindsDB. 2023. Mindsdb. https://github.com/ mindsdb/mindsdb. GitHub repository. MosaicML-Team. 2023. Introducing mpt-7b: A new standard for open-source, commercially usable llms. Accessed: 2023-08-07. Nous-Research. 2023a. gpt4-x-vicuna-13b. https://huggingface.co/NousResearch/ gpt4-x-vicuna-13b. Model on Hugging Face. Nous-Research. 2023b. Nous-hermes-13b. https://huggingface.co/NousResearch/ Nous-Hermes-13b. Model on Hugging Face. Nous-Research. 2023c. Nous-hermes-llama-2-7b. https://huggingface.co/NousResearch/ Nous-Hermes-llama-2-7b. Model on Hugging Face. Nous-Research. 2023d. Redmond-puffin-13b. https://huggingface.co/NousResearch/ Redmond-Puffin-13B. Model on Hugging Face. OpenAI. 2023. Gpt-4 technical report. Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, and Alexander M. Rush. 2021. Multitask prompted training enables zero-shot task generalization. Stability-AI. 2023. Stablelm. https://github.com/ Stability-AI/StableLM. GitHub repository. StanGirard. 2023. quivr. https://github.com/ StanGirard/quivr. GitHub repository. Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023. Stanford alpaca: An instruction-following llama model. https:// github.com/tatsu-lab/stanford_alpaca. Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023. Llama: Open and efficient foundation language models. The Verge. 2023. Meta’s powerful ai language model has leaked online — what happens now? The Verge. James Vincent. 2023. As an ai generated language model: The phrase that shows how ai is polluting the web. The Verge. Ben Wang and Aran Komatsuzaki. 2021. GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model. https://github.com/kingoflolz/ mesh-transformer-jax. Eric J. Wang. 2023. alpaca-lora. https://github. com/tloen/alpaca-lora. GitHub repository. Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2023. Self-instruct: Aligning language models with self-generated instructions. Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023. Wizardlm: Empowering large language models to follow complex instructions. Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Authors: Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship.

GPT4All: Limitations and References

Why Mamba Could Be the Future of Big Data Processing

There is a fair amount of buzz in the tech world about Agentic AI. The answer to the question of what exactly it is is that it comprises software systems that can be likened to AI agents tasked with carrying out important tasks with very little human intervention. What makes it special is the fact that it can be relied upon to make decisions by factoring in all the variables and yet providing solutions to the most intricate of problems. It does so by leveraging a variety of AI technologies like machine learning, large language models, and deep learning, complemented by reinforced learning. Agentic AI is a natural progression from regular AI and Gen AI in that unlike these, it is able to come up with turnkey enterprise solutions capable of accomplishing highly complex tasks and thereby better achieve business objectives. This is quite an enhancement in the ability of artificial intelligence to provide enterprise solutions autonomously. The earlier AI systems could not do much beyond automating mundane tasks in accordance with set rules, crimping their ability to learn, change evolve, and make autonomous decisions, making them not very impactful when it came to addressing the needs of enterprise-level businesses. Generative AI did step up to the plate to a certain extent by using large language models and natural language processing to generate myriad forms of content including the writing of code. That being stated much of this was achieved by providing prompts with this technology not really being able to act independently and autonomously. Agentive AI - A Paradigm Shift Agentive AI marks a paradigm shift in how AI is going to be perceived and seen by large-scale business organizations. It is its ability to learn- interact in complex scenarios and environments and use that to inform its autonomous decision-making puts it in a league far superior to Generative AI. From simplifying and optimizing complex workflows to responding with alacrity to ever-changing business needs reducing the cost of operations. This is a technology that has large organizations very excited about its capabilities. What makes AI positively stand out is its autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. Agentive AI promises to especially revolutionize content creation, customer service, software engineering, and healthcare. This is a space that needs to be watched in 2025. There is a fair amount of buzz in the tech world about Agentic AI. The answer to the question of what exactly it is is that it comprises software systems that can be likened to AI agents tasked with carrying out important tasks with very little human intervention. What makes it special is the fact that it can be relied upon to make decisions by factoring in all the variables and yet providing solutions to the most intricate of problems. It does so by leveraging a variety of AI technologies like machine learning, large language models, and deep learning, complemented by reinforced learning. Agentic AI is a natural progression from regular AI and Gen AI in that unlike these, it is able to come up with turnkey enterprise solutions capable of accomplishing highly complex tasks and thereby better achieve business objectives. This is quite an enhancement in the ability of artificial intelligence to provide enterprise solutions autonomously. The earlier AI systems could not do much beyond automating mundane tasks in accordance with set rules, crimping their ability to learn, change evolve, and make autonomous decisions, making them not very impactful when it came to addressing the needs of enterprise-level businesses. Generative AI did step up to the plate to a certain extent by using large language models and natural language processing to generate myriad forms of content including the writing of code. That being stated much of this was achieved by providing prompts with this technology not really being able to act independently and autonomously. Agentive AI - A Paradigm Shift Agentive AI - A Paradigm Shift Agentive AI marks a paradigm shift in how AI is going to be perceived and seen by large-scale business organizations. It is its ability to learn- interact in complex scenarios and environments and use that to inform its autonomous decision-making puts it in a league far superior to Generative AI. From simplifying and optimizing complex workflows to responding with alacrity to ever-changing business needs reducing the cost of operations. This is a technology that has large organizations very excited about its capabilities. What makes AI positively stand out is its autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. Agentive AI promises to especially revolutionize content creation, customer service, software engineering, and healthcare. This is a space that needs to be watched in 2025. This is a space that needs to be watched in 2025.

What Is Agentic AI?

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In the ever-evolving world of decentralized finance (DeFi), distinguishing fleeting trends from genuine investment opportunities requires keen insight. Amidst this dynamic backdrop, Kelp ( ) emerges as a harbinger of innovation, offering early adopters a golden opportunity to partake in what could be the next big leap in DeFi. KELP KELP’s introduction of an AI-driven platform for digital asset management and trading not only sets a new benchmark in the sector but also opens up avenues for exponential returns for those quick to grasp its potential. A Paradigm Shift in DeFi At its core, KELP transcends the conventional boundaries of DeFi through its Autonomous Trading Engine (K.A.T.E.), an designed to automate and optimize trading strategies. This AI-driven approach promises to revolutionize how investors interact with the crypto market, offering a level of analysis, speed, and efficiency previously unavailable to the individual trader. By harnessing the power of AI, KELP aims to democratize trading success, making sophisticated investment strategies accessible to all, irrespective of their market expertise or capital base. artificial intelligence system KELP's Monetary Innovation: A Beacon of Stability In a market characterized by volatility, KELP introduces a designed to stabilize its token value. This forward-thinking approach dynamically adjusts the token's supply based on real-time market conditions, aiming to mitigate the abrupt price fluctuations that often deter would-be investors. This stability is not just a boon for traders but also paves the way for KELP's broader adoption as a reliable medium for transactions and savings, further enhancing its investment appeal. novel monetary policy The Pre-Sale Phenomenon: Timing is Everything The buzz surrounding KELP's presale underscores the crypto community's recognition of its groundbreaking potential. With the presale quickly filling up, the urgency for prospective investors to secure their position at an early stage is palpable. The initial offering price of $0.0082 represents not just an entry point into an innovative DeFi project but an investment in KELP's vision of a more accessible, efficient, and stable financial future. As the sale progresses and the available tokens dwindle, those who act swiftly stand to gain the most from KELP's anticipated ascent in the DeFi marketplace. Why KELP Stands Out Among the Crowd What sets KELP apart is not just its technological prowess but also its comprehensive ecosystem, which is designed to cater to a wide array of DeFi needs. From its decentralized exchange ( ) to staking platforms and beyond, KELP is building a holistic financial environment underpinned by AI's power. This not only enhances the utility and value of the KELP token but also ensures that KELP remains at the forefront of the DeFi evolution, adapting and growing in response to the market's changing needs. DEX A Call to Action for Visionary Investors For visionary investors, KELP represents a confluence of opportunity, innovation, and potential unmatched in the current DeFi landscape. Investing in KELP is more than just a speculative venture; it's a stake in the future of finance, where AI and blockchain technology merge to create more equitable, efficient, and stable financial systems. As the pre-sale forges ahead, the time to join this groundbreaking journey is now. Those who recognize the transformative power of KELP and act with alacrity stand to reap the rewards of being early adopters in a project poised for exponential growth. Seizing the Moment In the realm of cryptocurrency, where the next big thing is always just around the corner, KELP shines as a beacon for those seeking not just to participate in the DeFi revolution but to lead it. The convergence of AI and blockchain technology within KELP's platform offers a rare combination of innovation, utility, and potential for significant returns. As KELP’s presale advances, the window for becoming part of this pioneering venture at an early stage narrows. Investors and crypto enthusiasts are thus urged to seize this golden opportunity, embracing the chance to be at the vanguard of a DeFi evolution that promises not just to change how we trade and invest but to redefine our very understanding of financial empowerment and success. Join the wave of early adopters eyeing exponential returns, and let KELP be your vessel to navigate the promising waters of DeFi's future. Visit today and take the first step towards securing your place in this exciting journey toward reimagining finance. Kelp | | Website Twitter Telegram This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

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