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The rapid growth of AI is transforming many areas of life, including education, with ChatGPT at the forefront of this change. Recently, OpenAI, the company behind ChatGPT, introduced ChatGPT Edu—a tailored version of its flagship AI tool built for universities to “responsibly” deploy AI to students, faculty, researchers, and campus operations. Riding on the success of its ChatGPT Edu in Universities like the University of Oxford, Wharton School of the University of Pennsylvania(opens in a new window), University of Texas at Austin, Arizona State University(opens in a new window), and Columbia University in the City of New York, ChatGPT edu comes with a lot of promise— one that can help universities integrate AI into every aspect concerning students and faculties. But as always, with every ease comes hardship, and ChatGPT Edu too can be a double-edged sword. But we’ll discuss the downsides a little later. Let’s lead with how ChatGPT Edu can be constructive for higher educational institutions, their students, and faculties. Beginning with the fact that ChatGPT leverages AI, it shouldn’t be a debate that its Edu version can provide faculty members and students with a satisfying level of personalization. By tailoring content and study material as per every student’s need, it can be the silver bullet that universities desperately need. With faculties and mentors grappling with the grueling task of managing the rising number of students in a class, personalization through AI can bring tremendous results for them. The fact that it can identify knowledge gaps and adapt to different learning styles symbolizes hope for the future of academia. AI has always attracted keen minds and ChatGPT Edu, given its inherent character to integrate AI with interactive activities, can make learning more engaging and interactive. Students who are disengaged from routine lectures and other pedagogical processes may find AI’s use in education to be an attractive prospect. This can help keep the students more engaged– a challenge that is commonly observed among students. They are highly disoriented, given the fact that a vast majority of higher educational institutions are still sticking to rote learning practices. Enter ChatGPT Edu, by engaging students in simulated discussions, role-playing scenarios, and critical thinking skills, it can help them stay focused and better oriented, and help suitably streamline their academic priorities. For students with learning disabilities, ChatGPT Edu can be the holy grail. It can offer personalized feedback in various formats, including audio or visual aids, catering to different learning preferences. ChatGPT Edu can also help universities stay clear of the language barriers that often arise when students and faculties of one country inhabit the other. Offering real-time language translation and support can allow students to participate more actively in classroom discussions and access course materials in their preferred language. What’s beyond this is it can also assist in personalized pronunciation practice and real-time feedback, fostering greater confidence and fluency for non-native speakers. The faculty members, moreover, can use the translation feature to ensure all students understand the course material the way they want them to. They can translate lectures, presentations, and handouts, allowing students to follow along and engage more effectively by harnessing the tool properly. We’ll have to see how ChatGPT’s Edu version performs once it is widely circulated in the public domain. For students from diverse backgrounds who face difficulty understanding concepts and things, it can be a big breather as it can translate complex concepts and methods into simpler language. Being able to offer text-to-speech conversion, and the capability to generate visual aids and summaries will surely be a cherry on the cake for both students and faculties alike. Lastly, what seems to be interesting from the faculty’s perspective is that it can offer continued assistance to faculty research. It can certainly help analyze vast amounts of data, generate research hypotheses, and streamline literature reviews, freeing up valuable time for more focused research endeavors. AI in education isn’t a capricious idea anymore. The downsides One of the biggest concerns arising out of the use of AI in educational institutions is there is a chance of students getting too reliant on it for everything. This can have serious repercussions. They can lose touch with realistic teaching pedagogy and become more AI-dependent thereby stepping into that alarming “virtual” zone of learning, where anything without the aid of AI is less understood or best, misunderstood. An equally concerning aspect is the fact it can severely hinder critical thinking and problem-solving skills for a lot of the students. Secondly, it’s believed AI is only as good as the data it's trained on. If that data is biased or fed with wrong inputs, ChatGPT Edu could perpetuate stereotypes or deliver inaccurate information—something which can lead the learner astray, thereby inhibiting the whole learning experience and marring the learning curve. Lastly, overuse of this technology could blur the lines between original and duplicate content (read plagiarism). Rightly so! Plagiarism has been a serious concern for academic institutions, as cases of AI-blended learning have risen over the years. And these concerns of AI and plagiarism are legitly myriad. We’ll have to see how this tailor-made ChatGPT tool can minimize incidents of students and learners plagiarizing content in universities. Summing Up Education offers incredible potential for the application of AI technologies. With the introduction of ChatGPT Edu and its subsequent integration into educational institutions across all research and learning touchpoints, it seems the educational landscape may be in for some unanticipated and enormous change. Nevertheless, learning the tricks of AI-based learning practices and dupery that could be possibly built around it by mala fide learners, can certainly be a solution and shouldn’t be taken for granted. While on one hand, adopting regular audits and data curation practices can help minimize bias and misinformation, on the other, universities can design courses that blend ChatGPT Edu for personalized learning while prioritizing interactive activities and discussions that are likely to produce the maximum output while remaining efficient. With the integration of this innovative tool, learning practices bear a likelihood of showing improved outcomes but it also brings with itself a multitude of vulnerabilities and risks. It just remains to be seen if post its integration with universities on a massive scale, whether it will endanger institutions and recede learning to a dangerous low or will it push towards an academic environment that appears technologically and educationally utopian. The rapid growth of AI is transforming many areas of life, including education, with ChatGPT at the forefront of this change. Recently, OpenAI, the company behind ChatGPT, introduced ChatGPT Edu—a tailored version of its flagship AI tool built for universities to “responsibly” deploy AI to students, faculty, researchers, and campus operations. Riding on the success of its ChatGPT Edu in Universities like the University of Oxford, Wharton School of the University of Pennsylvania(opens in a new window), University of Texas at Austin, Arizona State University(opens in a new window), and Columbia University in the City of New York, ChatGPT edu comes with a lot of promise— one that can help universities integrate AI into every aspect concerning students and faculties. But as always, with every ease comes hardship, and ChatGPT Edu too can be a double-edged sword. But we’ll discuss the downsides a little later. the success of its ChatGPT Edu in Universities Let’s lead with how ChatGPT Edu can be constructive for higher educational institutions, their students, and faculties. Beginning with the fact that ChatGPT leverages AI , it shouldn’t be a debate that its Edu version can provide faculty members and students with a satisfying level of personalization. By tailoring content and study material as per every student’s need, it can be the silver bullet that universities desperately need. With faculties and mentors grappling with the grueling task of managing the rising number of students in a class, personalization through AI can bring tremendous results for them. The fact that it can identify knowledge gaps and adapt to different learning styles symbolizes hope for the future of academia. ChatGPT leverages AI ChatGPT leverages AI personalization through AI personalization through AI AI has always attracted keen minds and ChatGPT Edu, given its inherent character to integrate AI with interactive activities, can make learning more engaging and interactive. Students who are disengaged from routine lectures and other pedagogical processes may find AI’s use in education to be an attractive prospect. This can help keep the students more engaged– a challenge that is commonly observed among students. They are highly disoriented, given the fact that a vast majority of higher educational institutions are still sticking to rote learning practices. Enter ChatGPT Edu, by engaging students in simulated discussions, role-playing scenarios, and critical thinking skills, it can help them stay focused and better oriented, and help suitably streamline their academic priorities. For students with learning disabilities, ChatGPT Edu can be the holy grail. It can offer personalized feedback in various formats, including audio or visual aids, catering to different learning preferences. ChatGPT Edu can also help universities stay clear of the language barriers that often arise when students and faculties of one country inhabit the other. Offering real-time language translation and support can allow students to participate more actively in classroom discussions and access course materials in their preferred language. What’s beyond this is it can also assist in personalized pronunciation practice and real-time feedback, fostering greater confidence and fluency for non-native speakers. The faculty members, moreover, can use the translation feature to ensure all students understand the course material the way they want them to. They can translate lectures, presentations, and handouts, allowing students to follow along and engage more effectively by harnessing the tool properly. We’ll have to see how ChatGPT’s Edu version performs once it is widely circulated in the public domain. translation feature translation feature For students from diverse backgrounds who face difficulty understanding concepts and things, it can be a big breather as it can translate complex concepts and methods into simpler language. Being able to offer text-to-speech conversion, and the capability to generate visual aids and summaries will surely be a cherry on the cake for both students and faculties alike. Lastly, what seems to be interesting from the faculty’s perspective is that it can offer continued assistance to faculty research. It can certainly help analyze vast amounts of data, generate research hypotheses, and streamline literature reviews, freeing up valuable time for more focused research endeavors. AI in education isn’t a capricious idea anymore. The downsides One of the biggest concerns arising out of the use of AI in educational institutions is there is a chance of students getting too reliant on it for everything. This can have serious repercussions. They can lose touch with realistic teaching pedagogy and become more AI-dependent thereby stepping into that alarming “virtual” zone of learning, where anything without the aid of AI is less understood or best, misunderstood. An equally concerning aspect is the fact it can severely hinder critical thinking and problem-solving skills for a lot of the students. Secondly, it’s believed AI is only as good as the data it's trained on. If that data is biased or fed with wrong inputs, ChatGPT Edu could perpetuate stereotypes or deliver inaccurate information—something which can lead the learner astray, thereby inhibiting the whole learning experience and marring the learning curve. Lastly, overuse of this technology could blur the lines between original and duplicate content (read plagiarism). Rightly so! Plagiarism has been a serious concern for academic institutions, as cases of AI-blended learning have risen over the years. And these concerns of AI and plagiarism are legitly myriad. We’ll have to see how this tailor-made ChatGPT tool can minimize incidents of students and learners plagiarizing content in universities. AI and plagiarism AI and plagiarism Summing Up Education offers incredible potential for the application of AI technologies. With the introduction of ChatGPT Edu and its subsequent integration into educational institutions across all research and learning touchpoints, it seems the educational landscape may be in for some unanticipated and enormous change. incredible potential for the application incredible potential for the application Nevertheless, learning the tricks of AI-based learning practices and dupery that could be possibly built around it by mala fide learners, can certainly be a solution and shouldn’t be taken for granted. While on one hand, adopting regular audits and data curation practices can help minimize bias and misinformation, on the other, universities can design courses that blend ChatGPT Edu for personalized learning while prioritizing interactive activities and discussions that are likely to produce the maximum output while remaining efficient. With the integration of this innovative tool, learning practices bear a likelihood of showing improved outcomes but it also brings with itself a multitude of vulnerabilities and risks. It just remains to be seen if post its integration with universities on a massive scale, whether it will endanger institutions and recede learning to a dangerous low or will it push towards an academic environment that appears technologically and educationally utopian.

ChatGPT Edu: Dawn of a Brighter Academic Future, or a Slippery Slope Towards Diminished Learning?

Data is the lifeblood of AI. And as the world embraces the potential of intelligent systems, the value of the data that fuels them becomes even clearer. To foster meaningful conversations around data collection for AI and LLMs, Bright Data and HackerNoon are delighted to launch the AI Writing Contest. Share your thoughts, research, and/or projects on HackerNoon using the #ai tag for a chance to win from a $2500 prize pool. What to Write About Demonstrate how you've used Bright Data to collect web data for AI, and provide a detailed analysis of the tasks performed and their results.
Discuss new trends in AI and LLM data collection and their potential impact on current practices.
Highlight web scraping tools that could transform AI training data.
Demonstrate how public web data can be labeled for AI training, with examples of how labeled data improved AI performance in specific applications.
Explore how Bright Data's tools can be leveraged for improved AI and LLM training.
Provide examples of real-world applications where data collected at scale through web scraping has been used to train successful AI models.
Examine techniques for optimizing data pipelines to enhance the efficiency and effectiveness of training large language models.
Discuss how Bright Data's APIs and Marketplace provide sources for text, video, images, audio, and other dataset types needed for AI model training, and how they can be used for various AI tasks. See the full list of writing prompts here. Get Started with Bright Data: To help you prepare for the contest, Bright Data is offering $15 in credit for you to test out its tools. Use this credit to explore:


Web Data for AI


Dataset Marketplace


Participants will have access to free datasets, highlighted on the platform. For specific dataset requests, contact hackernoon@brightdata.com, and the data will be provided to your account within 24 hours. Prize Breakdown for the AI Writing Contest

$$$



Best Bright Data Story

$1000



Best AI Story

$1000



Best Web Scraping Story

$500 The AI Writing Contest Rules & Guidelines Must be 18+ to enter (no location restrictions)
Create a HackerNoon account
You can enter the contest by adding the #ai tag to your story.
No AI-generated entries. (Read: the acceptable way to use AI on HackerNoon) FAQs Can I Write Under a Pen Name? Yes!You can use your real name, or a pseudonym when setting up your HackerNoon profile. How Long Will the Contest Run? The Contest will run for 3 months, starting on September 1, 2024, and ending on December 1, 2024. Can I submit more than one entry to the contest? Of course! Each story submission will count as a new entry into the writing contest. How are the winners selected? After 3 months, we’ll share a shortlist of the stories that receive the most eyeballs (real humans, not bots!).
Next, the shortlisted stories will be voted on by HackerNoon staff.
Then, the best in each prize category; AI, Bright Data, and Web Scraping, will be selected and announced Ready to give it a shot? Start a draft now, or use this template to enter the AI writing contest. Good luck and may the force be with you! Data is the lifeblood of AI. And as the world embraces the potential of intelligent systems, the value of the data that fuels them becomes even clearer. Data is the lifeblood of AI. To foster meaningful conversations around data collection for AI and LLMs, Bright Data and HackerNoon are delighted to launch the AI Writing Contest . AI Writing Contest Share your thoughts, research, and/or projects on HackerNoon using the #ai tag for a chance to win from a $2500 prize pool. Share your thoughts, research, and/or projects on HackerNoon using the #ai tag for a chance to win from a $2500 prize pool. Share your thoughts, research, and/or projects on HackerNoon using the #ai tag for a chance to win from a $2500 prize pool. #ai What to Write About Demonstrate how you've used Bright Data to collect web data for AI, and provide a detailed analysis of the tasks performed and their results. Discuss new trends in AI and LLM data collection and their potential impact on current practices. Highlight web scraping tools that could transform AI training data. Demonstrate how public web data can be labeled for AI training, with examples of how labeled data improved AI performance in specific applications. Explore how Bright Data's tools can be leveraged for improved AI and LLM training. Provide examples of real-world applications where data collected at scale through web scraping has been used to train successful AI models. Examine techniques for optimizing data pipelines to enhance the efficiency and effectiveness of training large language models. Discuss how Bright Data's APIs and Marketplace provide sources for text, video, images, audio, and other dataset types needed for AI model training, and how they can be used for various AI tasks. Demonstrate how you've used Bright Data to collect web data for AI, and provide a detailed analysis of the tasks performed and their results. Discuss new trends in AI and LLM data collection and their potential impact on current practices. Highlight web scraping tools that could transform AI training data. Demonstrate how public web data can be labeled for AI training, with examples of how labeled data improved AI performance in specific applications. Explore how Bright Data's tools can be leveraged for improved AI and LLM training. Provide examples of real-world applications where data collected at scale through web scraping has been used to train successful AI models. Examine techniques for optimizing data pipelines to enhance the efficiency and effectiveness of training large language models. Discuss how Bright Data's APIs and Marketplace provide sources for text, video, images, audio, and other dataset types needed for AI model training, and how they can be used for various AI tasks. See the full list of writing prompts here. See the full list of writing prompts here. See the full list of writing prompts here. here. Get Started with Bright Data: To help you prepare for the contest, Bright Data is offering $15 in credit for you to test out its tools. Use this credit to explore: Web Data for AI


Dataset Marketplace Participants will have access to free datasets, highlighted on the platform. For specific dataset requests, contact hackernoon@brightdata.com, and the data will be provided to your account within 24 hours. Get Started with Bright Data: To help you prepare for the contest, Bright Data is offering $15 in credit for you to test out its tools. Use this credit to explore: Get Started with Bright Data: Use this credit to explore: Web Data for AI Dataset Marketplace Web Data for AI Web Data for AI Web Data for AI Dataset Marketplace Dataset Marketplace Dataset Marketplace Participants will have access to free datasets, highlighted on the platform. For specific dataset requests, contact hackernoon@brightdata.com, and the data will be provided to your account within 24 hours. Participants will have access to free datasets, highlighted on the platform. For specific dataset requests, contact hackernoon@brightdata.com , and the data will be provided to your account within 24 hours. hackernoon@brightdata.com hackernoon@brightdata.com Prize Breakdown for the AI Writing Contest

$$$



Best Bright Data Story

$1000



Best AI Story

$1000



Best Web Scraping Story

$500 Prize Breakdown for the AI Writing Contest

$$$



Best Bright Data Story

$1000



Best AI Story

$1000



Best Web Scraping Story

$500 Prize Breakdown for the AI Writing Contest

$$$ Best Bright Data Story

$1000 Best AI Story

$1000 Best Web Scraping Story

$500 Prize Breakdown for the AI Writing Contest $$$ Prize Breakdown for the AI Writing Contest Prize Breakdown for the AI Writing Contest Prize Breakdown for the AI Writing Contest $$$ $$$ $$$ Best Bright Data Story $1000 Best Bright Data Story Best Bright Data Story $1000 $1000 Best AI Story $1000 Best AI Story Best AI Story $1000 $1000 Best Web Scraping Story $500 Best Web Scraping Story Best Web Scraping Story $500 $500 The AI Writing Contest Rules & Guidelines Must be 18+ to enter (no location restrictions) Create a HackerNoon account You can enter the contest by adding the #ai tag to your story. No AI-generated entries. (Read: the acceptable way to use AI on HackerNoon) Must be 18+ to enter (no location restrictions) Create a HackerNoon account Create a HackerNoon account Create a HackerNoon account You can enter the contest by adding the #ai tag to your story. #ai #ai No AI-generated entries. (Read: the acceptable way to use AI on HackerNoon ) the acceptable way to use AI on HackerNoon the acceptable way to use AI on HackerNoon FAQs Can I Write Under a Pen Name? Yes! You can use your real name, or a pseudonym when setting up your HackerNoon profile. How Long Will the Contest Run? The Contest will run for 3 months, starting on September 1, 2024, and ending on December 1, 2024. Can I submit more than one entry to the contest? Of course! Each story submission will count as a new entry into the writing contest. How are the winners selected? After 3 months, we’ll share a shortlist of the stories that receive the most eyeballs (real humans, not bots!). Next, the shortlisted stories will be voted on by HackerNoon staff. Then, the best in each prize category; AI, Bright Data, and Web Scraping, will be selected and announced After 3 months, we’ll share a shortlist of the stories that receive the most eyeballs (real humans, not bots!). Next, the shortlisted stories will be voted on by HackerNoon staff. Then, the best in each prize category; AI, Bright Data, and Web Scraping, will be selected and announced Ready to give it a shot? Ready to give it a shot? Start a draft now, or use this template to enter the AI writing contest. Start a draft now , or use this template to enter the AI writing contest . Start a draft now this template AI writing contest Good luck and may the force be with you! Good luck and may the force be with you!

Win Up to $2500 in the AI Writing Contest by Bright Data and HackerNoon 

ব্রাইট ডেটা এবং হ্যাকারনুন দ্বারা এআই লেখার প্রতিযোগিতায় $2500 পর্যন্ত জিতে নিন 

Gewinnen Sie bis zu 2500 $ im AI Writing Contest von Bright Data und HackerNoon

Gane hasta $2500 en el concurso de redacción sobre inteligencia artificial de Bright Data y HackerNoon

Gagnez jusqu'à 2 500 $ dans le concours d'écriture sur l'IA organisé par Bright Data et HackerNoon

ब्राइट डेटा और हैकरनून द्वारा आयोजित एआई लेखन प्रतियोगिता में $2500 तक जीतें

Bright Data と HackerNoon による AI ライティング コンテストで最大 2,500 ドルを獲得

Bright Data와 HackerNoon의 AI Writing Contest에서 최대 $2500을 획득하세요

Ganhe até $ 2.500 no concurso de redação de IA da Bright Data e HackerNoon

Выиграйте до 2500 долларов в конкурсе по написанию текстов на тему ИИ от Bright Data и HackerNoon

Bright Data ve HackerNoon'un AI Yazma Yarışmasında 2500$'a Kadar Kazanın

Thắng giải thưởng lên đến 2500 đô la trong Cuộc thi viết về AI do Bright Data và HackerNoon tổ chức

在 Bright Data 和 HackerNoon 举办的 AI 写作比赛中赢取高达 2500 美元的奖金

Bright Data infrastructure is championed around collecting only publicly available data, backed by an industry-leading know-your-customer (KYC) process and a transparent, acceptable use policy. Rated number one by customers on G2, Bright Data provides two scraping solutions, the Web Scraper API and the Scraping Browser, that simplify the data collection process. This guide covers the following: Advantages of using Bright Data’s scraping tools over traditional methods
Practical demonstration of building a dataset with a scraping browser
Overview of Bright Data’s dataset marketplace for ease of use Let’s get started. Advantages of using Bright Data’s scraping tools The Scraping Browser is one of the industry’s most cutting-edge scraping tools. With this tool, you can run your scripts on fully hosted browsers equipped with a CAPTCHA auto-solver, unlimited scalability, and residential IPs to enhance data collection. According to Bright Data CEO Or Lenchner, the Internet is the world’s largest database; the only issue is organizing its data. Using the Scraping Browser, Bright Data helps you manage your data with its in-built unblocking and hosting properties. Some of the advantages of using Bright Data’s scraping tool includes: Reason #1: Efficiency Bright Data comes embedded with a developer-first dynamic scraping ability with pre-written scripts with different scraping technologies, making it possible to accelerate the data collection process compared to traditional methods. Reason #2: Reliability Data companies trust Bright Data tools for their robustness and stability in handling large-scale data collection across their vast residential IP pool and network, ensuring high-quality and accurate data. Another critical point to note is that Bright Data offers support and resolves issues quickly for its customers around the clock. Reason #3: Global adoption Bright Data powers many global brands, which is interesting to note with Bright Insights. Bright Insights leverages deep technology infrastructure to transform public data into actionable insights that serve more than 20,000+ businesses with crucial public web data. Some notable companies that use Bright Data are Microsoft, Epson, Mozilla, and so on. One widespread use case where companies use Bright Data for their data collection needs is using data for AI. In such a scenario, Bright Data assures its customers and users (data scientists) that they always have AI training data for their machine learning models, providing everything you need from discovering, curating, and collecting web data at scale. The four essential components of the data from Bright Data are: Continuously refreshed


Clean and validated


Compliant and ethical


Scalable and performant Check out the different data types used in AI models to learn more about using datasets to train AI models and LLMs. Practical demonstration of building a dataset with a Scraping Browser According to Bright Data documentation, the Scraping Browser is one of their proxy-unlocking solutions designed to help you focus on your multi-step data collection from browsers while taking care of your full proxy and unblocking infrastructure. Some of the benefits of the Scraping Browser are: Boost developer productivity
Cut infrastructure overheads
Increase success rates
Ease of use and integration with libraries like Puppeteer, Playwright, and Selenium To get started, follow the instructions in the documentation that describes how to use the Scraping Browser. Sign up for free and receive a $5 credit. For a more profound practice on integrating and using Playwright with Python, this guide takes you through scraping public web data. Overview of Bright Data’s dataset marketplace Get fresh datasets from the Bright Data dataset marketplace, a repository of datasets from popular public websites. Browse the dataset category and select the one you want to use. The dataset pricing model is calculated based on the number of records used, whether one-time, biannual, quarterly, or monthly. Advantages of using the marketplace No-code web scraping
Strict validation methods
API for on-demand data Conclusion In this article, we discussed the importance of the Scraping Browser and the readily available pre-built datasets in the marketplace. Before scraping or understanding data from a company dataset, you need not be technical. Streamlining data serves as a means to support companies needing extensive training data and capitalizing on building efficient models. Finally, according to Forbes, the future of web scraping is intricately tied to ML and AI technologies. In 2024, scraping tools will become more intelligent, and the need for manual intervention will diminish. The implications of this can raise concerns about data privacy and ethical use if it scrapes sensitive information from the target site without consent. Are you a developer who wants to try Bright Data and its integration? It supports JavaScript, Node, Python, and programming languages like C#, Java, Go, and Ruby. Learn more Web Scraper APIs Bright Data infrastructure is championed around collecting only publicly available data, backed by an industry-leading know-your-customer (KYC) process and a transparent, acceptable use policy. Rated number one by customers on G2 , Bright Data provides two scraping solutions, the Web Scraper API and the Scraping Browser , that simplify the data collection process. by customers on G2 by customers on G2 Web Scraper API Web Scraper API Scraping Browser Scraping Browser This guide covers the following: Advantages of using Bright Data’s scraping tools over traditional methods Practical demonstration of building a dataset with a scraping browser Overview of Bright Data’s dataset marketplace for ease of use Advantages of using Bright Data’s scraping tools over traditional methods Practical demonstration of building a dataset with a scraping browser Overview of Bright Data’s dataset marketplace for ease of use Let’s get started. Advantages of using Bright Data’s scraping tools Advantages of using Bright Data’s scraping tools The Scraping Browser is one of the industry’s most cutting-edge scraping tools. With this tool, you can run your scripts on fully hosted browsers equipped with a CAPTCHA auto-solver, unlimited scalability, and residential IPs to enhance data collection. According to Bright Data CEO Or Lenchner, the Internet is the world’s largest database; the only issue is organizing its data. Using the Scraping Browser, Bright Data helps you manage your data with its in-built unblocking and hosting properties. Some of the advantages of using Bright Data’s scraping tool includes: Reason #1: Efficiency Reason #1: Efficiency Bright Data comes embedded with a developer-first dynamic scraping ability with pre-written scripts with different scraping technologies, making it possible to accelerate the data collection process compared to traditional methods. Reason #2: Reliability Reason #2: Reliability Data companies trust Bright Data tools for their robustness and stability in handling large-scale data collection across their vast residential IP pool and network, ensuring high-quality and accurate data. Another critical point to note is that Bright Data offers support and resolves issues quickly for its customers around the clock. Reason #3: Global adoption Reason #3: Global adoption Bright Data powers many global brands, which is interesting to note with Bright Insights. Bright Insights leverages deep technology infrastructure to transform public data into actionable insights that serve more than 20,000+ businesses with crucial public web data. Some notable companies that use Bright Data are Microsoft, Epson, Mozilla, and so on. One widespread use case where companies use Bright Data for their data collection needs is using data for AI. In such a scenario, Bright Data assures its customers and users (data scientists) that they always have AI training data for their machine learning models, providing everything you need from discovering, curating, and collecting web data at scale. The four essential components of the data from Bright Data are: Continuously refreshed Clean and validated Compliant and ethical Scalable and performant Continuously refreshed Continuously refreshed Clean and validated Clean and validated Compliant and ethical Compliant and ethical Scalable and performant Scalable and performant Check out the different data types used in AI models to learn more about using datasets to train AI models and LLMs. data types used in AI models data types used in AI models Practical demonstration of building a dataset with a Scraping Browser Practical demonstration of building a dataset with a Scraping Browser According to Bright Data documentation, the Scraping Browser is one of their proxy-unlocking solutions designed to help you focus on your multi-step data collection from browsers while taking care of your full proxy and unblocking infrastructure. Some of the benefits of the Scraping Browser are: Boost developer productivity Cut infrastructure overheads Increase success rates Ease of use and integration with libraries like Puppeteer, Playwright, and Selenium Boost developer productivity Cut infrastructure overheads Increase success rates Ease of use and integration with libraries like Puppeteer, Playwright, and Selenium To get started, follow the instructions in the documentation that describes how to use the Scraping Browser. Sign up for free and receive a $5 credit. documentation documentation Sign up for free Sign up for free $5 For a more profound practice on integrating and using Playwright with Python, this guide takes you through scraping public web data. this guide this guide Overview of Bright Data’s dataset marketplace Overview of Bright Data’s dataset marketplace Get fresh datasets from the Bright Data dataset marketplace , a repository of datasets from popular public websites. Browse the dataset category and select the one you want to use. Bright Data dataset marketplace Bright Data dataset marketplace The dataset pricing model is calculated based on the number of records used, whether one-time, biannual, quarterly, or monthly. Advantages of using the marketplace Advantages of using the marketplace No-code web scraping Strict validation methods API for on-demand data No-code web scraping Strict validation methods API for on-demand data Conclusion Conclusion In this article, we discussed the importance of the Scraping Browser and the readily available pre-built datasets in the marketplace. Before scraping or understanding data from a company dataset, you need not be technical. Streamlining data serves as a means to support companies needing extensive training data and capitalizing on building efficient models. Finally, according to Forbes , the future of web scraping is intricately tied to ML and AI technologies. In 2024, scraping tools will become more intelligent, and the need for manual intervention will diminish. The implications of this can raise concerns about data privacy and ethical use if it scrapes sensitive information from the target site without consent. according to Forbes according to Forbes Are you a developer who wants to try Bright Data and its integration ? It supports JavaScript, Node, Python, and programming languages like C#, Java, Go, and Ruby. try Bright Data and its integration try Bright Data and its integration Learn more Web Scraper APIs Web Scraper APIs Web Scraper APIs Web Scraper APIs

Streamlining AI Data Collection with Bright Data’s Scraping Browser

The Noonification: Meet Bright Data: HackerNoon Company of the Week (7/22/2024)

Another week, another Company of the Week! Every week, we share an awesome tech brand from our tech company database, making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. This week, we are proud to present Bright Data - one of the largest data collection platform on the planet internet having more than 15,000 customers worldwide with aim to provide web transparency, and equal access to open-source, web-based information. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon! Bright Data’s Top Stories on HackerNoon Bright Data has published 9 stories via the HackerNoon Business Blogging Program, and has generated 20 days, 8 hours, and 29 minutes of reading time! Here are our top 3 favorite stories by them: How to Stay Anonymous Online by Hiding Your IP Address Alternatives to Web Scraping with Python Cracking the Code of Cloudflare Bypass Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team Another week, another Company of the Week ! Every week, we share an awesome tech brand from our tech company database , making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. Company of the Week tech company database This week, we are proud to present Bright Data - one of the largest data collection platform on the planet internet having more than 15,000 customers worldwide with aim to provide web transparency, and equal access to open-source, web-based information. Bright Data Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon ! Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Bright Data’s Top Stories on HackerNoon Bright Data has published 9 stories via the HackerNoon Business Blogging Program , and has generated 20 days, 8 hours, and 29 minutes of reading time! Here are our top 3 favorite stories by them: HackerNoon Business Blogging Program How to Stay Anonymous Online by Hiding Your IP Address How to Stay Anonymous Online by Hiding Your IP Address How to Stay Anonymous Online by Hiding Your IP Address Alternatives to Web Scraping with Python Alternatives to Web Scraping with Python Alternatives to Web Scraping with Python Cracking the Code of Cloudflare Bypass Cracking the Code of Cloudflare Bypass Cracking the Code of Cloudflare Bypass Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon Share Your Company's Story via HackerNoon That's all this week, folks! Stay Creative, Stay Iconic. The HackerNoon Team

Meet Bright Data: HackerNoon Company of the Week

মিট ব্রাইট ডেটা: হ্যাকারনুন কোম্পানি অফ দ্য উইক

Lernen Sie Bright Data kennen: HackerNoon-Unternehmen der Woche

Conozca Bright Data: la empresa de la semana de HackerNoon

Rencontrez Bright Data : Entreprise HackerNoon de la semaine

ब्राइट डेटा से मिलिए: हैकरनून कंपनी ऑफ द वीक

Bright Data のご紹介: HackerNoon の今週の企業

밝은 데이터를 만나보세요: 금주의 HackerNoon 회사

Conheça Bright Data: Empresa HackerNoon da Semana

Встречайте Bright Data: компания недели HackerNoon

Bright Data ile Tanışın: Haftanın HackerNoon Şirketi

Gặp gỡ Bright Data: Công ty HackerNoon của tuần

结识 Bright Data：本周 HackerNoon 公司

REVIVING HOPES AND BRIGHTENING PROSPECTS.

Reflections on the Decline of Science in England, and on Some of Its Causes by Charles Babbage, is part of the HackerNoon Books Series. You can jump to any chapter in this book . Conclusion here CONCLUSION. In a work on the Decline of Science, at a period when England has so recently lost two of its brightest ornaments, I should hardly be excused if I omitted to devote a few words to the names of Wollaston and of Davy. Until the warm feelings of surviving kindred and admiring friends shall be cold as the grave from which remembrance vainly recalls their cherished forms, invested with all the life and energy of recent existence, the volumes of their biography must be sealed. Their contemporaries can expect only to read their eloge. In habits of intercourse with both those distinguished individuals, sufficiently frequent to mark the curiously different structure of their minds, I was yet not on such terms even with him I most esteemed, as to view his great qualities through that medium which is rarely penetrated by the eyes of long and very intimate friendship. Caution and precision were the predominant features of the character of Wollaston, and those who are disposed to reduce the number of principles, would perhaps justly trace the precision which adorned his philosophical, to the extreme caution which pervaded his moral character. It may indeed be questioned whether the latter quality will not in all persons of great abilities produce the former. Ambition constituted a far larger ingredient in the character of Davy, and with the daring hand of genius he grasped even the remotest conclusions to which a theory led him. He seemed to think invention a more common attribute than it really is, and hastened, as soon as he was in possession of a new fact or a new principle, to communicate it to the world, doubtful perhaps lest he might not be anticipated; but, confident in his own powers, he was content to give to others a chance of reaping some part of that harvest, the largest portion of which he knew must still fall to his own share. Dr. Wollaston, on the other hand, appreciated more truly the rarity of the inventive faculty; and, undeterred by the fear of being anticipated, when he had contrived a new instrument, or detected a new principle, he brought all the information that he could collect from others, or which arose from his own reflection, to bear upon it for years, before he delivered it to the world. The most singular characteristic of Wollaston's mind was the plain and distinct line which separated what he knew from what he did not know; and this again, arising from his precision, might be traced to caution. It would, however, have been visible to such an extent in few except himself, for there were very few so perfectly free from vanity and affectation. To this circumstance may be attributed a peculiarity of manner in the mode in which he communicated information to those who sought it from him, which was to many extremely disagreeable. He usually, by a few questions, ascertained precisely how much the inquirer knew upon the subject, or the exact point at which his ignorance commenced, a process not very agreeable to the vanity of mankind; taking up the subject at this point, he would then very clearly and shortly explain it. His acquaintance with mathematics was very limited. Many years since, when I was an unsuccessful candidate for a professorship of mathematics, I applied to Dr. W. for a recommendation; he declined it, on the ground of its not being his pursuit. I told him I asked it, because I thought it would have weight, to which he replied, that it ought to have none whatever. There is no doubt his view was the just one. Yet such is the state of ignorance which exists on these subjects, that I have several times heard him mentioned as one of the greatest mathematicians of the age. [This of course could only have happened in England.] But in this as in all other points, the precision with which he comprehended and retained all he had ever learned, especially of the elementary applications of mathematics to physics, was such, that he possessed greater command over those subjects than many of far more extensive knowledge. In associating with Wollaston, you perceived that the predominant principle was to avoid error; in the society of Davy, you saw that it was the desire to see and make known truth. Wollaston never could have been a poet; Davy might have been a great one. A question which I put, successively, to each of these distinguished philosophers, will show how very differently a subject may be viewed by minds even of the highest order. About the time Mr. Perkins was making his experiments on the compression of water, I was much struck with the mechanical means he had brought to bear on the subject, and was speculating on other applications of it, which I will presently mention. Meeting Dr. Wollaston one morning in the shop of a bookseller, I proposed this question: If two volumes of hydrogen and one of oxygen are mixed together in a vessel, and if by mechanical pressure they can be so condensed as to become of the same specific gravity as water, will the gases under these circumstances unite and form water? "What do you think they will do?" said Dr. W. I replied, that I should rather expect they would unite. "I see no reason to suppose it," said he. I then inquired whether he thought the experiment worth making. He answered, that he did not, for that he should think it would certainly not succeed. A few days after, I proposed the same question to Sir Humphry Davy. He at once said, "they will become water, of course;" and on my inquiring whether he thought the experiment worth making, he observed that it was a good experiment, but one which it was hardly necessary to make, as it must succeed. These were off-hand answers, which it might perhaps be hardly fair to have recorded, had they been of persons of less eminent talent: and it adds to the curiosity of the circumstance to mention, that I believe Dr. Wollaston's reason for supposing no union would take place, arose from the nature of the electrical relations of the two gases remaining unchanged, an objection which did not weigh with the philosopher whose discoveries had given birth to it. [The result of the experiment appeared, and still appears to me, to be of the highest importance; and I will shortly state the views with which it was connected. The next great discovery in chemistry to definite proportions, will be to find means of forming all the simple unions of one atom with one, with two, or with more of say other substance: and it occurred to me that the gaseous bodies presented the fairest chance of success; and that if wishing, for instance, to unite four atoms of one substance with one of another, we could, by mechanical means, reduce the mixed gases to the same specific gravity as the substance would possess which resulted from their union, then either that such union would actually take place, or the particles of the two substances would be most favourably situated for the action of caloric, electricity, or other causes, to produce the combination. It would indeed seem to follow, that if combination should take place under such circumstances, then the most probable proportion in which the atoms would unite, should be that which furnished a fluid of the least specific gravity: but until the experiments are made, it is by no means certain that other combinations might not be produced.] The singular minuteness of the particles of bodies submitted by Dr. Wollaston to chemical analysis, has excited the admiration of all those who have had the good fortune to witness his experiments; and the methods he employed deserve to be much more widely known. It appears to me that a great mistake exists on the subject. It has been adduced as one of those facts which prove the extraordinary acuteness of the bodily senses of the individual,—a circumstance which, if it were true, would add but little to his philosophical character; I am, however, inclined to view it in a far different light, and to see in it one of the natural results of the admirable precision of his knowledge. During the many opportunities I have enjoyed of seeing his minute experiments, I remember but one instance in which I noticed any remarkable difference in the acuteness of his bodily faculties, either of his hearing, his sight, or of his sense of smell, from those of other persons who possessed them in a good degree. [This was at Mr. South's observatory, and the object was, the dots on the declination circle of his equatorial; but, in this instance, Dr. Wollaston did not attempt to TEACH ME HOW TO SEE THEM.] He never showed me an almost microscopic wire, which was visible to his, and invisible to my own eye: even in the beautiful experiments he made relative to sounds inaudible to certain ears, he never produced a tone which was unheard by mine, although sensible to his ear; and I believe this will be found to have been the case by most of those whose minds had been much accustomed to experimental inquiries, and who possessed their faculties unimpaired by illness or by age. It was a much more valuable property on which the success of such inquiries depended. It arose from the perfect attention which he could command, and the minute precision with which he examined every object. A striking illustration of the fact that an object is frequently not seen, FROM NOT KNOWING HOW TO SEE IT, rather than from any defect in the organ of vision, occurred to me some years since, when on a visit at Slough. Conversing with Mr. Herschel on the dark lines seen in the solar spectrum by Fraunhofer, he inquired whether I had seen them; and on my replying in the negative, and expressing a great desire to see them, he mentioned the extreme difficulty he had had, even with Fraunhofer's description in his hand and the long time which it had cost him in detecting them. My friend then added, "I will prepare the apparatus, and put you in such a position that they shall be visible, and yet you shall look for them and not find them: after which, while you remain in the same position, I will instruct you how to see them, and you shall see them, and not merely wonder you did not see them before, but you shall find it impossible to look at the spectrum without seeing them." On looking as I was directed, notwithstanding the previous warning, I did not see them; and after some time I inquired how they might be seen, when the prediction of Mr. Herschel was completely fulfilled. It was this attention to minute phenomena which Dr. Wollaston applied with such powerful effect to chemistry. In the ordinary cases of precipitation the cloudiness is visible in a single drop as well as in a gallon of a solution; and in those cases where the cloudiness is so slight, as to require a mass of fluid to render it visible, previous evaporation, quickly performed on slips of window glass, rendered the solution more concentrated. The true value of this minute chemistry arises from its cheapness and the extreme rapidity with which it can be accomplished: it may, in hands like those of Wollaston, be used for discovery, but not for measure. I have thought it more necessary to place this subject on what I consider its true grounds, for two reasons. In the first place, I feel that injustice has been done to a distinguished philosopher in attributing to some of his bodily senses that excellence which I think is proved to have depended on the admirable training of his intellectual faculties. And, in the next place, if I have established the fact, whilst it affords us better means of judging of such observations as lay claim to an accuracy "MORE THAN HUMAN," it also opens, to the patient inquirer into truth, a path by which he may acquire powers that he would otherwise have thought were only the gift of nature to a favoured few. 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. Charles Babbage (1998).Reflections on the Decline of Science in England, and on Some of Its Causes. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/1216/pg1216-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

When England has so recently lost two of its brightest ornaments

Wives and Daughters by Elizabeth Cleghorn Gaskell, is part of the HackerNoon Books Series. You can jump to any chapter in this book . BRIGHTENING PROSPECTS. here CHAPTER XXXIII. BRIGHTENING PROSPECTS. It was a day or two afterwards, that Mr. Gibson made time to ride round by Hamley, desirous to learn more exact particulars of this scheme for Roger than he could obtain from any extraneous source, and rather puzzled to know whether he should interfere in the project or not. The state of the case was this:—Osborne's symptoms were, in Mr. Gibson's opinion, signs of his having a fatal disease. Dr. Nicholls had differed from him on this head, and Mr. Gibson knew that the old physician had had long experience, and was considered very skilful in the profession. Still he believed that he himself was right, and, if so, the complaint was one which might continue for years in the same state as at present, or might end the young man's life in an hour—a minute. Supposing that Mr. Gibson was right, would it be well for Roger to be away where no sudden calls for his presence could reach him—away for two years? Yet if the affair was concluded, the interference of a medical man might accelerate the very evil to be feared; and after all, Dr. Nicholls might be right, and the symptoms might proceed from some other cause. Might? Yes. Probably did? No. Mr. Gibson could not bring himself to say "yes" to this latter form of sentence. So he rode on, meditating; his reins slack, his head a little bent. It was one of those still and lovely autumn days when the red and yellow leaves are hanging-pegs to dewy, brilliant gossamer-webs; when the hedges are full of trailing brambles, loaded with ripe blackberries; when the air is full of the farewell whistles and pipes of birds, clear and short—not the long full-throated warbles of spring; when the whirr of the partridge's wings is heard in the stubble-fields, as the sharp hoof-blows fall on the paved lanes; when here and there a leaf floats and flutters down to the ground, although there is not a single breath of wind. The country surgeon felt the beauty of the seasons perhaps more than most men. He saw more of it by day, by night, in storm and sunshine, or in the still, soft, cloudy weather. He never spoke about what he felt on the subject; indeed, he did not put his feelings into words, even to himself. But if his mood ever approached to the sentimental, it was on such days as this. He rode into the stable-yard, gave his horse to a man, and went into the house by a side entrance. In the passage he met the Squire. "That's capital, Gibson! what good wind blew you here? You'll have some lunch? it's on the table, I only just this minute left the room." And he kept shaking Mr. Gibson's hand all the time till he had placed him, nothing loth, at the well-covered dining-table. "What's this I hear about Roger?" said Mr. Gibson, plunging at once into the subject. "Aha! so you've heard, have you? It's famous, isn't it? He's a boy to be proud of, is old Roger. Steady Roger; we used to think him slow, but it seems to me that slow and sure wins the race. But tell me; what have you heard? how much is known? Nay, you must have a glass full. It's old ale, such as we don't brew now-a-days; it's as old as Osborne. We brewed it that autumn, and we called it the young squire's ale. I thought to have tapped it on his marriage, but I don't know when that will come to pass, so we've tapped it now in Roger's honour." The old squire had evidently been enjoying the young squire's ale to the verge of prudence. It was indeed as he said, "as strong as brandy," and Mr. Gibson had to sip it very carefully as he ate his cold roast beef. "Well! and what have you heard? There's a deal to hear, and all good news, though I shall miss the lad, I know that." "I did not know it was settled; I only heard that it was in progress." "Well, it was only in progress, as you call it, till last Tuesday. He never let me know anything about it, though; he says he thought I might be fidgety with thinking of the pros and cons. So I never knew a word on't till I had a letter from my Lord Hollingford—where is it?" pulling out a great black leathern receptacle for all manner of papers. And putting on his spectacles, he read aloud their headings. "'Measurement of timber, new railings,' 'drench for cows, from Farmer Hayes,' 'Dobson's accounts,'—'um 'um—here it is. Now read that letter," handing it to Mr. Gibson. It was a manly, feeling, sensible letter, explaining to the old father in very simple language the services which were demanded by the terms of the will to which he and two or three others were trustees; the liberal allowance for expenses, the still more liberal reward for performance, which had tempted several men of considerable renown to offer themselves as candidates for the appointment. Lord Hollingford then went on to say that, having seen a good deal of Roger lately, since the publication of his article in reply to the French osteologist, he had had reason to think that in him the trustees would find united the various qualities required in a greater measure than in any of the applicants who had at that time presented themselves. Roger had deep interest in the subject; much acquired knowledge, and at the same time, great natural powers of comparison, and classification of facts; he had shown himself to be an observer of a fine and accurate kind; he was of the right age, in the very prime of health and strength, and unshackled by any family ties. Here Mr. Gibson paused for consideration. He hardly cared to ascertain by what steps the result had been arrived at—he already knew what that result was; but his mind was again arrested as his eye caught on the remuneration offered, which was indeed most liberal; and then he read with attention the high praise bestowed on the son in this letter to the father. The Squire had been watching Mr. Gibson—waiting till he came to this part—and he rubbed his hands together as he said,— "Ay! you've come to it at last. It's the best part of the whole, isn't it? God bless the boy! and from a Whig, mind you, which makes it the more handsome. And there's more to come still. I say, Gibson, I think my luck is turning at last," passing him on yet another letter to read. "That only came this morning; but I've acted on it already, I sent for the foreman of the drainage works at once, I did; and to-morrow, please God, they'll be at work again." Mr. Gibson read the second letter, from Roger. To a certain degree it was a modest repetition of what Lord Hollingford had said, with an explanation of how he had come to take so decided a step in life without consulting his father. He did not wish him to be in suspense for one reason. Another was that he felt, as no one else could feel for him, that by accepting this offer, he entered upon the kind of life for which he knew himself to be most fitted. And then he merged the whole into business. He said that he knew well the suffering his father had gone through when he had had to give up his drainage works for want of money; that he, Roger, had been enabled at once to raise money upon the remuneration he was to receive on the accomplishment of his two years' work; and that he had also insured his life, in order to provide for the repayment of the money he had raised, in case he did not live to return to England. He said that the sum he had borrowed on this security would at once be forwarded to his father. Mr. Gibson laid down the letter without speaking a word for some time; then he said,—"He'll have to pay a pretty sum for insuring his life beyond seas." "He's got his Fellowship money," said the Squire, a little depressed at Mr. Gibson's remark. "Yes; that's true. And he's a strong young fellow, as I know." "I wish I could tell his mother," said the Squire in an under-tone "It seems all settled now," said Mr. Gibson, more in reply to his own thoughts than to the Squire's remark. "Yes!" said the Squire; "and they're not going to let the grass grow under his feet. He's to be off as soon as he can get his scientific traps ready. I almost wish he wasn't to go. You don't seem quite to like it, doctor?" "Yes, I do," said Mr. Gibson in a more cheerful tone than before. "It can't be helped now without doing a mischief," thought he to himself. "Why, Squire, I think it a great honour to have such a son. I envy you, that's what I do. Here's a lad of three or four and twenty distinguishing himself in more ways than one, and as simple and affectionate at home as any fellow need to be—not a bit set up." "Ay, ay; he's twice as much a son to me as Osborne, who has been all his life set up on nothing at all, as one may say." "Come, Squire, I mustn't hear anything against Osborne; we may praise one, without hitting at the other. Osborne hasn't had the strong health which has enabled Roger to work as he has done. I met a man who knew his tutor at Trinity the other day, and of course we began cracking about Roger—it's not every day that one can reckon a senior wrangler amongst one's friends, and I'm nearly as proud of the lad as you are. This Mr. Mason told me the tutor said that only half of Roger's success was owing to his mental powers; the other half was owing to his perfect health, which enabled him to work harder and more continuously than most men without suffering. He said that in all his experience he had never known any one with an equal capacity for mental labour; and that he could come again with a fresh appetite to his studies after shorter intervals of rest than most. Now I, being a doctor, trace a good deal of his superiority to the material cause of a thoroughly good constitution, which Osborne hasn't got." "Osborne might have, if he got out o' doors more," said the Squire, moodily; "but except when he can loaf into Hollingford he doesn't care to go out at all. I hope," he continued, with a glance of sudden suspicion at Mr. Gibson, "he's not after one of your girls? I don't mean any offence, you know; but he'll have the estate, and it won't be free, and he must marry money. I don't think I could allow it in Roger; but Osborne's the eldest son, you know." Mr. Gibson reddened; he was offended for a moment. Then the partial truth of what the Squire said was presented to his mind, and he remembered their old friendship, so he spoke quietly, if shortly. "I don't believe there's anything of the kind going on. I'm not much at home, you know; but I've never heard or seen anything that should make me suppose that there is. When I do, I'll let you know." "Now, Gibson, don't go and be offended. I'm glad for the boys to have a pleasant house to go to, and I thank you and Mrs. Gibson for making it pleasant. Only keep off love; it can come to no good. That's all. I don't believe Osborne will ever earn a farthing to keep a wife during my life, and if I were to die to-morrow, she would have to bring some money to clear the estate. And if I do speak as I shouldn't have done formerly—a little sharp or so—why, it's because I've been worried by many a care no one knows anything of." "I'm not going to take offence," said Mr. Gibson, "but let us understand each other clearly. If you don't want your sons to come as much to my house as they do, tell them so yourself. I like the lads, and am glad to see them; but if they do come, you must take the consequences, whatever they are, and not blame me, or them either, for what may happen from the frequent intercourse between two young men and two young women; and what is more, though, as I said, I see nothing whatever of the kind you fear at present, and have promised to tell you of the first symptoms I do see, yet farther than that I won't go. If there's an attachment at any future time, I won't interfere." "I shouldn't so much mind if Roger fell in love with your Molly. He can fight for himself, you see, and she's an uncommon nice girl. My poor wife was so fond of her," answered the Squire. "It's Osborne and the estate I'm thinking of!" "Well, then, tell him not to come near us. I shall be sorry, but you will be safe." "I'll think about it; but he's difficult to manage. I've always to get my blood well up before I can speak my mind to him." Mr. Gibson was leaving the room, but at these words he turned and laid his hand on the Squire's arm. "Take my advice, Squire. As I said, there's no harm done as yet, as far as I know. Prevention is better than cure. Speak out, but speak gently to Osborne, and do it at once. I shall understand how it is if he doesn't show his face for some months in my house. If you speak gently to him, he'll take the advice as from a friend. If he can assure you there's no danger, of course he'll come just as usual, when he likes." It was all very fine giving the Squire this good advice; but as Osborne had already formed the very kind of marriage his father most deprecated, it did not act quite as well as Mr. Gibson had hoped. The Squire began the conversation with unusual self-control; but he grew irritated when Osborne denied his father's right to interfere in any marriage he might contemplate; denied it with a certain degree of doggedness and weariness of the subject that drove the Squire into one of his passions; and although, on after reflection, he remembered that he had his son's promise and solemn word not to think of either Cynthia or Molly for his wife, yet the father and son had passed through one of those altercations which help to estrange men for life. Each had said bitter things to the other; and, if the brotherly affection had not been so true between Osborne and Roger, they too might have become alienated, in consequence of the Squire's exaggerated and injudicious comparison of their characters and deeds. But as Roger in his boyhood had loved Osborne too well to be jealous of the praise and love which the eldest son, the beautiful brilliant lad, had received, to the disparagement of his own plain awkwardness and slowness, so now Osborne strove against any feeling of envy or jealousy with all his might; but his efforts were conscious, Roger's had been the simple consequence of affection, and the end to poor Osborne was that he became moody and depressed in mind and body; but both father and son concealed their feelings in Roger's presence. When he came home just before sailing, busy and happy, the Squire caught his infectious energy, and Osborne looked up and was cheerful. There was no time to be lost. He was bound to a hot climate, and must take all advantage possible of the winter months. He was to go first to Paris, to have interviews with some of the scientific men there. Some of his outfit, instruments, &c., were to follow him to Havre, from which port he was to embark, after transacting his business in Paris. The Squire learnt all his arrangements and plans, and even tried in after-dinner conversations to penetrate into the questions involved in the researches his son was about to make. But Roger's visit home could not be prolonged beyond two days. The last day he rode into Hollingford earlier than he needed to have done to catch the London coach, in order to bid the Gibsons good-by. He had been too actively busy for some time to have leisure to bestow much thought on Cynthia; but there was no need for fresh meditation on that subject. Her image as a prize to be worked for, to be served for seven years, and seven years more, was safe and sacred in his heart. It was very bad, this going away, and wishing her good-by for two long years; and he wondered much during his ride how far he should be justified in telling her mother, perhaps in telling her own sweet self, what his feelings were without expecting, nay, indeed reprobating, any answer on her part. Then she would know at any rate how dearly she was beloved by one who was absent; how in all difficulties or dangers the thought of her would be a polar star, high up in the heavens, and so on, and so on; for with all a lover's quickness of imagination and triteness of fancy, he called her a star, a flower, a nymph, a witch, an angel, or a mermaid, a nightingale, a siren, as one or another of her attributes rose up before him. 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. Elizabeth Cleghorn Gaskell (2003). Wives and Daughters. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/4274/pg4274-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

BRIGHTENING PROSPECTS.

The stars still shone brightly when I awoke

In the heart of Saudi Arabia’s vast desert landscape, where sand dunes meet the shores of the Red Sea, lies a futuristic vision that aims to redefine the way we live - . This mass-scale mega-city project isn’t just about constructing a it’s about breathing life into a vision that combines cutting-edge technology with sustainable living to create an oasis like no other. NEOM smart city ; This grand endeavor seeks to establish a modern utopia, a place where imagination meets technology and the limits of possibility are pushed beyond what we thought was possible. So, let’s explore the potential this city holds to be the next big thing and whether it can spark a wave of similar smart city projects worldwide. The Rise of Smart Cities I believe that it’s an undeniable fact that smart cities are revolutionizing urban development and bringing a paradigm shift in the way we live and interact with one another. Smart cities are the manifestation of our collective aspiration to harmonize urban living with technological innovation. These cities to optimize resource allocation, enhance efficiency, and improve the quality of life for their citizens. leverage data-driven solutions Let’s look at some preceding NEOM to grasp what may be in store for us. smart city projects Songdo, South Korea Often known as the , Songdo is an international business district near Incheon. Designed from the ground up, Songdo is characterized by its cutting-edge technology integration and sustainable infrastructure. world’s first smart city With data being at the heart of all Seoul city projects, Songdo is no exception. There are monitoring everything from energy consumption to traffic flow and waste management in real-time, ensuring efficiency and environmental consciousness. The city also features a , through which waste is whisked away with the help of underground tubes. , sensors embedded throughout the city central pneumatic waste collection system Songdo's presence is a reminder that the ideals set forth by NEOM and other forward-thinking projects are already being realized elsewhere to enrich the lives of residents while setting new standards for urban development. Singapore Being named the “ ,” Singapore is one of the frontrunners in the global race for going ‘smart.’ With the city-state having long been recognized for its strategic urban planning and efforts to promote sustainability, Singapore’s transition to a smart city began with the launch of its “ ” initiative. This initiative aimed to leverage data and technology to improve citizens' lives. smartest city in Asia Smart Nation They introduced a number of smart technologies in both the private and public sectors. Ranging from a contactless payment system, to aid the millions of passengers availing public transport every day to the creation of robotic patrol police, and a facilitating online consultations and an IoT device to monitor patients’ health. , SimplyGo digital health system Singapore sets a precedent for the relationship between technology and urban living, standing out as a shining example of how embracing innovation can lead to sustainable and harmonious urban environments. NEOM: A Glimpse into the Future NEOM isn't just a city; it’s aimed to be a manifesto for urban development. The vision is to create an oasis where humans and technology can coexist synergistically. Let’s explore what plans the Saudi government has for this colossal smart city project. About NEOM NEOM is a smart city project planned by the Kingdom of Saudi Arabia as part of its initiative. This plan aims to reduce Saudi Arabia’s dependence on oil, diversify its economy, and boost the country’s public and private sectors. Saudi Vision 2030 NEOM is to be built in the country’s northwestern Tabuk province, north of the Red Sea and in close proximity to the east of Egypt and the south of Jordan. The area for the project is 26,500km2 and currently encompasses four different planned regions so far: Sindalah Nestled along the Red Sea coast, is an island destination that embodies the spirit of leisure, luxury, and recreation. With pristine beaches, luxury resorts, and a thriving entertainment scene, this region is envisioned as a haven for relaxation and entertainment. It offers a plethora of underwater activities and will also be a yachting hub for some of the world’s most prominent yachting enthusiasts with its 86-berth marina and 75 off-shore buoys. Sindalah Trojena emerges as a dynamic ski resort with elevations ranging from 1,500 to 2,600 meters and a pristine expanse spanning nearly 60 square kilometers. Trojena offers an enchanting playground for winter sports enthusiasts. Blanketed in snow during sub-zero winters, this alpine haven promises exhilarating slopes, breathtaking panoramas, and an unforgettable skiing experience that embodies the spirit of adventure within NEOM's visionary landscape. Trojena Oxagon Previously known as Neom Industrial City, is an octagonal floating industrial complex. Situated around 25 kilometers north of Duba, Oxagon envelops a sprawling expanse of 200–250 square kilometers. This marvel is set to redefine modern manufacturing and industrial research, positioning itself as a dynamic hub for progress centered around the expansion of Duba port. Expected to be powered by 100% renewable energy, Oxagon's blueprint includes a desalination plant, a hydrogen facility, and an oceanographic research center, emphasizing NEOM's commitment to sustainable practices and scientific exploration. Oxagon The Line At the heart of NEOM's vision lies , a linear city stretching across 170 kilometers. The Line promises to be a blueprint for sustainability and efficiency. Free from the constraints of conventional urban design, it will be powered by 100% renewable energy and will feature cutting-edge transportation systems and AI-powered services. The Line's unique structure emphasizes proximity to nature, ensuring that no resident is more than a five-minute walk away from green spaces, offering a harmonious blend of urban and natural environments. The Line NEOM’s Impact Right now, the whole world is keeping a close eye on NEOM and waiting to see how it unfolds. If the project turns out to be a success, it could have implications spanning far and wide. Economic and Societal Impact The economic and societal impact of NEOM will be unprecedented. Job creation in emerging sectors such as data analytics, cybersecurity, and could reshape the employment landscape. NEOM is expected to create hundreds of thousands of job opportunities for locals and immigrants alike in the country. The Line alone is by 2030. AI programming expected to create 380,000 jobs Furthermore, the very essence of smart cities, which are convenience, efficiency, and sustainability, has the potential to elevate citizens' well-being. The findings of a by the McKinsey Global Institute show that cities that use smart technologies improve some key quality-of-life indicators by 10 to 30 percent. This contributes to shorter commutes, fewer crimes, a reduced health burden, and more lives saved. In addition to that, when citizens are freed from mundane tasks by automation and empowered by technology, they can focus on creative pursuits, personal growth, and contributing meaningfully to society. report Global Implications NEOM's success could also potentially send ripples across the globe, inspiring other nations to follow suit. As we witness various countries embarking on their smart city journeys, NEOM's innovative approach might serve as a benchmark for what's possible. From China's tech-driven city of to India's plans for sustainable urban development in , the world is closely watching and learning from NEOM. Xiong'an Lavasa Challenges facing NEOM The path to smart city utopia isn’t without thorns, and NEOM faces a spectrum of challenges and severe criticism that demand careful consideration. NEOM has not been without its share of controversies, with notable issues including the from their ancestral lands and allegations of human rights violations against migrant laborers. forced displacement of the Huwaitat tribe Critics have also voiced legitimate concerns about the feasibility and long-term sustainability of NEOM. The sheer magnitude of the project, coupled with its potential environmental repercussions, has prompted valid inquiries. Realizing the city’s grand ambitions, such as achieving full reliance on , building a floating trade hub, and implementing autonomous transportation, presents substantial challenges. renewable energy The geopolitical landscape surrounding NEOM introduces an additional layer of uncertainty. Given its proximity to Egypt and Jordan, the intricate dynamics of the region add complexity that could influence the project's outcomes. Then, there are also concerns about the amalgamation of technology in the design for NEOM. A prominent reason why Songdo didn’t achieve the success it was meant for was its . The city was designed with technology in mind, keeping humans in the peripheral rather than keeping the needs of humans in mind and using technology to fulfill those needs. NEOM must avoid making the same mistake. technology-centric design Will Smart Cities Be the Next Big Thing? As the sun sets over the desert, NEOM illuminates the horizon with countless possibilities. In the wake of this transformative vision, the question looms: Will smart cities become the next big thing? As we witness the convergence of , sustainability, and urban living, it's undeniable that smart cities hold immense promise. NEOM's grand endeavor underscores the potential for harmonizing innovation and nature. However, for this vision to thrive globally, challenges like environmental impact, inclusivity, and geopolitical complexities must be navigated with wisdom. technology The path forward demands a delicate balance between progress and responsibility, ensuring that the evolution of urban landscapes becomes a testament to human advancement that respects our planet and fosters shared prosperity.

Saudi NEOM Sparks a Brighter Future: Will Smart Cities Be the Next Big Thing?

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