Why the New York Times Banned OpenAI from Using its Content for AI Training?

September 29, 2023

Why New York Times Banned OpenAI Using Content AI Training

Recently, the New York Times (NYT) took a preemptive measure to avoid having its content used to create and train artificial intelligence models. The New York Times banned the use of its content, which includes text, images, audio and video clips, metadata, and other forms of content in the development of any software program. The new Terms of Service, which were updated on August 3, specifically forbid training a machine learning or artificial intelligence system on its data. It is not surprising that NYT’s decision gained traction after OpenAI released a new web crawling bot called GPTBot to expand its dataset for training its forthcoming generation of AI systems. According to OpenAI, the web crawler would collect data from publicly accessible websites while avoiding paywalled, sensitive, or illegal content.

However, the system is an opt-out one, which means website owners have the option to disable the web crawler to access their content. Similar to other search engines like Google, Bing, and Yandex, GPTBot will assume that any information that is available is, by default, available for usage. However, the question remains: why has NYT banned OpenAI’s GPTBot web crawler despite the growing popularity of its AI chatbot ChatGPT? Well, there might be several reasons behind this crackdown. Let’s take a quick look at what they might be.

Copyright Violation

OpenAI’s artificial intelligence chatbot ChatGPT is based on GPT large language models, which are trained on a vast amount of dataset gathered from the internet. This means a web crawler used for data collection purposes copies the entire content, as it is, from the websites to feed into the LLMs for training. The responses generated by ChatGPT are based on this training dataset fed to the LLMs. The opt-out option for OpenAI’s web crawler came only after a series of lawsuits against the company for copyright infringement, as the training data gathered for the earlier versions of GPT was used without the consent of the respective owners. The content created by authors and writers from the New York Times is protected by copyright. Since ChatGPT generates all its responses without any attributes or credits to the original source of the information, it clearly violates copyright laws. Neither is there any compensation for original content creators for the unconsented use. Considering this, it seems only fair on the part of NYT to prevent OpenAI from using its copyrighted content.

Identity Theft

Apart from the copyright infringement issue posed by OpenAI web crawler, NYT perhaps might be concerned about ChatGPT stealing its thunder. The AI chatbot has the remarkable ability to produce all sorts of textual content based on detailed prompts provided by the users. This is because of the vast amount of eclectic content it has been trained on. Now, NYT is known for the quality of its written content, which is thoroughly research-based and inhibits a unique writing style. Once the GPT models are trained on the NYT’s content, it is not much of an assumption to say that ChatGPT may be able to imitate its content style. This can be used by malicious actors to create content under the name of the prestigious news organization, seriously affecting its reputation and credibility. There have been several similar instances since the advent of ChatGPT. Recently, author Jane Friedman protested that five books listed as being written by her on Amazon were actually not written by her. According to the author, the books are poorly written and are probably created using ChatGPT. Amazon later pulled the titles from sale.

$100 million Google Partnership

In May, The New York Times signed a deal with Google that will enable Alphabet to feature NYT content on several of its platforms, including the Google News Showcase, a product that pays publishers to feature their content on Google News and some other Google platforms. Google will pay the New York Times about $100 million over the course of three years as a part of the deal. Now, ChatGPT is being seen as the potential rival for Google, threatening it to become the future of search engines. Keeping this in mind, the NYT’s decision to ban the OpenAI web crawler may be a calculated move on the part of Google as a part of the deal, the sole purpose of which is to put OpenAI at a disadvantage. This assumption is supported by recent talks of NYT considering legal action against OpenAI over copyright infringement, which could easily turn into a high profile legal tussle as it will also bring into consideration the intellectual property rights. There are speculations that if this lawsuit goes ahead and the NYT is successful, OpenAI could be forced to completely erase ChatGPT’s dataset and start again using only authorized content, which will serve Google very well.

Repercussions for NYT

Despite the several valid reasons that support NYT’s decision, there may be some consequences for the new organization in the future. The advent of LLMs and their subsequent applications, such as ChatGPT and Bing Chat, are changing the way people search for information. Instead of visiting links on the internet, people now desire a prompt response to their search queries, which the AI chatbots are remarkable at achieving. Bing Chat is already able to access the internet and provide up-to-date information such as current events and news. It is only about time that ChatGPT joined the race, too, considering OpenAI’s conscious efforts to partner with new organizations such Associated Press and the American Journalism Project for their training data. It can be easily said that AI chatbots such as ChatGPT can become the future of search engines.

Websites, such as NYT that deny web crawlers access to their web content might be sabotaging their own future. Naturally, Bing Chat and ChatGPT, both of which are based on GPT large language models, will only show content that they have been trained on and have access to. If these chatbots do become the future of search engines and NYT continues to prohibit the use of its content for AI training, the news organization might eventually lose its domain authority, directly impacting its readership. This may even impact the credibility of the organization’s content, since the training dataset is devoid of their content and wouldn’t prioritize them. Moreover, NYT’s competitors, who decide to allow their content to be used for AI training, are bound to have the edge over the news organization. Many companies use datasets like Common Crawl to create lists of websites to target with advertising, and since NYT won’t be in the datasets, it may also affect its ad revenue.

Conclusion

Considering all the points mentioned in the article, it is evident that there could be several reasons why NYT has banned OpenAI from using its content for training its AI models. While some of the reasons might seem pretty valid, there might also be serious repercussions to the NYT’s bold decision as the AI chatbots gain more traction every day.

Now, the question remains: should you allow GPTBot to crawl your websites? The answer depends on several factors. If your intent is to maintain or increase the website traffic, protect the copyrighted content, or are concerned about being taken out of context or any other valid reason, then you may consider blocking the web crawlers for your own good. However, if the above-mentioned reasons are the least of your concerns and your sole purpose is to stay at the top of the rapidly changing search landscapes, then allowing the data to be used can be seen as a wise decision.

Quotes on Artificial Intelligence by Experts

Sahil Pawar

September 29, 2023

latest Quotes on Artificial Intelligence

The field of artificial intelligence is thriving more than ever as technological advances continue to emerge. Researchers and experts are striving harder than ever before to make the unprecedented happen. Throughout the process, experts constantly keep vocalizing their opinions on AI in various contexts. Here are some of the latest and most interesting quotes on artificial intelligence.

“We have seen AI providing conversation and comfort to the lonely; we have also seen AI engaging in racial discrimination. Yet the biggest harm that AI is likely to do to individuals in the short term is job displacement, as the amount of work we can automate with AI is vastly larger than before. As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive.”

– Andrew Ng, American computer scientist, and technology entrepreneur

“The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage.”

– Paul Daugherty, chief technology and innovation officer, Accenture

Read More: Top Excel Formulas Bots Of 2022

“Fairness is a big issue. Human behavior is already discriminatory in many respects. The data we’ve accumulated is discriminatory. How can we use technology and AI to reduce discrimination and increase fairness? There are interesting works around adversarial neural networks and different technologies that we can use to bias toward fairness rather than perpetuate the discrimination. I think we’re in an era where responsibility is something you need to design and think about as we’re putting these new systems out there, so we don’t have these adverse outcomes.”

– Paul Daugherty, chief technology and innovation officer, Accenture

“Some people worry that artificial intelligence will make us feel inferior, but then, anybody in his right mind should have an inferiority complex every time he looks at a flower.”

– Alan Kay, American computer scientist

“I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines.”

– Claude Shannon, American mathematician, electrical engineer, and cryptographer

“It’s going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.”

– Colin Angle, chairman of the board, chief executive officer, and co-founder of iRobot

“Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.”

– Diane Ackerman, American essayist and author

“A lot of times, the failings are not in AI. They’re human failings, and we’re not willing to address the fact that there isn’t a lot of diversity in the teams building the systems in the first place. And somewhat innocently, they aren’t as thoughtful about balancing training sets to get the thing to work correctly. But then teams let that occur again and again. And you realize, if you’re not thinking about the human problem, then AI isn’t going to solve it for you.”

– Vivienne Ming, executive chair and co-founder of Socos Labs

“Change is hard within organizations. It’s unclear to me whether or not AI, just as a technology, is going to radically change all of the challenges that we have within an organization. Things like getting people to change, change their practices and processes, and using this set of technologies. There is a huge gap in terms of what we can do now with AI. There’s improved lead generation that machine learning can do better than humans.”

– Michael Chiu, partner, McKinsey Global Institute (MGI)

“To be human is to be ‘a’ human, a specific person with a life history and idiosyncrasy and point of view; artificial intelligence suggest that the line between intelligent machines and people blurs most when a puree is made of that identity.”

– Brian Christian, American non-fiction author, poet, programmer, and researcher.

“I believe that at the end of the century, the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.”

– Alan Turing, English mathematician, computer scientist, logician, cryptanalyst, philosopher, and theoretical biologist.

“AI is a complex field, and I am the first to say that we computer scientists have not progressed as far as many people believe. For instance, we currently have no credible research path to any kind of conscious AI algorithm, and there are no robots that are truly autonomous or able to make their own decisions — so don’t worry about walking terminators.”

– Richard Socher, former chief scientist, Salesforce

“There’s a real danger of systematizing the discrimination we have in society [through AI technologies]. What I think we need to do — as we’re moving into this world full of invisible algorithms everywhere — is that we have to be very explicit, or have a disclaimer, about what our error rates are like.”

– Timnit Gebru, research scientist, Google AI

“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.”

– Edsger W. Dijkstra, Dutch computer scientist, programmer, software engineer, systems scientist, and science essayist.

“As data and science become more accessible and more the production of software and AI, human creativity is becoming a more valuable commodity.”

– Hendrith Vanlon Smith Jr., American Banker.

“If an AI possessed any one of these skills—social abilities, technological development, economic ability—at a superhuman level, it is quite likely that it would quickly come to dominate our world in one way or another. And as we’ve seen, if it ever developed these abilities to the human level, then it would likely soon develop them to a superhuman level. So we can assume that if even one of these skills gets programmed into a computer, then our world will come to be dominated by AIs or AI-empowered humans.”

– Stuart Armstrong, James Martin Research Fellow at the Future of Humanity Institute at Oxford University.

“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, and we will have multiplied the intelligence – the human biological machine intelligence of our civilization – a billion-fold.”

– Ray Kurzweil, American computer scientist, author, inventor, and futurist.

“Machine intelligence is the last invention that humanity will ever need to make.”

– Nick Bostrom, Swedish-born philosopher at the University of Oxford

“People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid, and they’ve already taken over the world.”

– Pedro Domingos, Professor Emeritus of computer science and engineering at the University of Washington.

“Maybe the only significant difference between a really smart simulation and a human being was the noise they made when you punched them.”

– Terry Pratchett, English humorist, satirist, and author of fantasy novels.

“As more and more artificial intelligence is entering into the world, more and more emotional intelligence must enter into leadership.”

– Amit Ray, Indian author, and pioneer in proposing compassionate artificial intelligence.

“A powerful AI system tasked with ensuring your safety might imprison you at home. If you asked for happiness, it might hook you up to a life support and ceaselessly stimulate your brain’s pleasure centers. If you don’t provide the AI with a very big library of preferred behaviors or an ironclad means for it to deduce what behavior you prefer, you’ll be stuck with whatever it comes up with. And since it’s a highly complex system, you may never understand it well enough to make sure you’ve got it right.”

– James Barrat, author of Our Final Invention: Artificial Intelligence and the End of the Human Era.

“If we do it right, we might be able to evolve a form of work that taps into our uniquely human capabilities and restores our humanity. The ultimate paradox is that this technology may become a powerful catalyst that we need to reclaim our humanity.”

– John Hagel, a silicon valley based consultant and author

“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”

– Eliezer Yudkowsky, American decision theory, and artificial intelligence (AI) researcher and writer

“The real question is, when will we draft an artificial intelligence bill of rights? What will that consist of? And who will get to decide that?”

– Gray Scott, futurist, techno-philosopher, and expert in the field of emerging technology.

“If the government regulates against the use of drones or stem cells or artificial intelligence, all that means is that the work and the research leave the borders of that country and go someplace else.”

– Peter Diamandis, Greek-American engineer, physician, and entrepreneur

“If people trust artificial intelligence (AI) to drive a car, people will most likely trust AI to do your job.”

– Dave Waters, professor at the University of Oxford

“Anything that could give rise to smarter-than-human intelligence—in the form of Artificial Intelligence, brain-computer interfaces, or neuroscience-based human intelligence enhancement – wins hands down beyond contest as doing the most to change the world. Nothing else is even in the same league.”

– Eliezer Yudkowsky, American decision theory, and artificial intelligence (AI) researcher and writer

“Why give a robot an order to obey orders—why aren’t the original orders enough? Why command a robot not to do harm—wouldn’t it be easier never to command it to do harm in the first place?”

– Steven Pinker, Canadian-American cognitive psychologist, psycholinguist, popular science author, and public intellectual.

“The upheavals [of artificial intelligence] can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to rid cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease.”

– Nick Bilton, technology, business, and culture contributor at CNBC

“I don’t want to really scare you, but it was alarming how many people I talked to who are highly placed people in AI who have retreats that are sort of ‘bug out’ houses, to which they could flee if it all hits the fan.”

– James Barrat, author of Our Final Invention: Artificial Intelligence and the End of the Human Era.

“We must address, individually and collectively, moral and ethical issues raised by cutting-edge research in artificial intelligence and biotechnology, which will enable significant life extension, designer babies, and memory extraction.”

– Klaus Schwab, German engineer, economist, and founder of the World Economic Forum

Meta Unveils Next-Gen Ray-Ban Smart Glasses

Sahil Pawar

September 29, 2023

In a significant rebranding move, Meta, formerly known as Facebook, has officially dropped the name “Stories” from its smart glasses lineup, now simply referring to them as “smart glasses.”

The latest addition to this revamped series, unveiled at Meta’s Connect launch event, is the Ray-Ban Meta Smart Glasses, set to be available for preorder immediately and hitting the market on October 17th, with prices starting at $299.

The Ray-Ban Meta Smart Glasses come equipped with two primary functions, marking an evolution in wearable technology. First and foremost, they aim to replace traditional headphones by offering a personal audio system similar to Amazon’s Echo Frames and the Bose Tempo series, ensuring a private listening experience. The new generation boasts an improved microphone system with five microphones, including one located in the nose bridge, promising enhanced call quality and voice commands.

Secondly, the glasses function as a camera, featuring small camera lenses on each right temple. These cameras can capture 12-megapixel photos and 1080p videos, a significant upgrade from their predecessors. With 32GB of internal storage, users can store approximately 500 photos and 100 30-second videos, all of which sync through the Meta View app. The app also facilitates seamless sharing across Meta’s various platforms.

In a remarkable addition, users can initiate live streams to Facebook or Instagram with a few taps on the glasses’ stem while recording, indicated by a pulsing white light around the lens.

Powering these smart glasses is Qualcomm’s Snapdragon AR1 Gen 1 processor, featuring “on-glass AI” in a compact package. The glasses boast a battery life of four to six hours during active use, with the included case capable of providing an additional eight charges.

Meta’s rebranded smart glasses offer a convergence of audio and visual capabilities, positioning them as versatile and user-friendly devices for everyday use.

New Educational Technologies that Will Have a Significant Impact on Education

Ratan Kumar

September 28, 2023

Technology is a catalyst for change in the constantly evolving world of education, but people also make this shift truly remarkable. Educational technologies are poised to significantly impact how we learn, teach, and connect. As we travel the exciting future of education, here you can look at the emerging education technologies in detail that are shaping the future of students worldwide.

Artificial Intelligence (AI)

AI is like having a personalized virtual instructor who is always on hand to respond to your questions and offer feedback. It easily accommodates your particular learning style. Who would have thought that something like this would be possible one day? This is now a reality thanks to AI in education.

Websites like Coursera and Khan Academy use AI algorithms to analyze your progress and recommend tailored learning pathways. That said, teachers and students both benefit from these algorithms. Teachers can modify teaching strategies, better understand each student, and provide on-demand support using AI insights.

While artificial intelligence has been significantly helpful in getting many difficult tasks done, it is still something that cannot be used for writing essays. This is because colleges strictly advise against submitting AI-generated texts. Professors can sometimes even deduct marks for the same reason. This is where you can hire academized expert writers online who will write your essay for you. It will guarantee you receive quality and human-written essays that will help you achieve your academic goals.

Augmented and Virtual Reality (AR/VR)

AR and VR allow students to explore historical civilizations and, surprisingly, even dissect a frog without a scalpel. With the aid of these tools, students can now fully immerse themselves in their studies. However, it’s not just about the immersive experience, it’s also about the resulting human connections. Teachers can take their students on virtual field trips or bring history lessons to life with AR and VR.

Among many benefits of Artificial Intelligence, effective learning has been one of the most prominent ones. It has revolutionized the education sector. It not only helps students but educators too. Check out AI for education to see what other advantages this technology entails and how it influences education worldwide.

Online Collaboration Tools for Global Learning Communities

Education is no longer just for the classroom. Online collaboration tools have enabled the formation of global learning communities, linking students and teachers worldwide. Real-time discussions, collaborative projects, and peer-to-peer learning are all possible with platforms like Zoom and Google Workspace.

Gamification for Engaging Learning Experiences

Learning is more enjoyable when it is done through a game. Gamification has revolutionized education by transforming complicated concepts into engaging challenges. Language learning and test preparation are made more fun with apps, including but not limited to Duolingo and Quizlet. Apart from this, it instills motivation in students to help them learn effectively.

Blockchain

With the help of blockchain technology, the conventional transcript is getting a digital makeover. It eliminates the possibility of credential fraud by enabling students to retain and exchange their academic records securely.

The Internet of Things (IoT)

Thanks to IoT, the classroom of the future is smart. It converts static areas into interactive learning spaces. Lessons become more dynamic and engaging with the use of smart boards and sensors. All of this is not only interesting for students but teachers as well.

3D Printing

Hands-on learning has transformed, all thanks to 3D printing, which can produce complex models of molecules and magnificent buildings. Students can create concrete versions of their innovative concepts. Furthermore, it brings out students’ creative side, enhancing their cognitive abilities.

The Bottom Line

There is no doubt that technology has changed the world in and out. It is used significantly in all sectors, especially education, where it helps students learn effectively. From artificial intelligence to blockchain technology to 3D printing, many new education technologies have emerged over the years.

Although technology is a powerful tool, let us not lose sight of how it is humans who have enriched our living experiences by utilizing these technologies. What the future holds for technology in education is uncertain, but it would not be wrong to say that it is going to be even brighter than what it is today.

OpenAI Enhances ChatGPT with Web Browsing Capability

Sahil Pawar

September 28, 2023

In a recent announcement, OpenAI unveiled a significant update to its ChatGPT, allowing the AI model to once again scour the web for real-time information from “current and authoritative” sources.

ChatGPT can now browse the internet to provide you with current and authoritative information, complete with direct links to sources. It is no longer limited to data before September 2021. pic.twitter.com/pyj8a9HWkB
— OpenAI (@OpenAI) September 27, 2023

This feature, aptly named “Browse with Bing,” is initially accessible to users with Plus and Enterprise subscriptions but is poised for a broader rollout to all users in the near future.

OpenAI‘s ChatGPT joins the ranks of Microsoft’s Bing Chat on Windows, the Edge browser, and third-party browser plugins, as well as Google’s Bard in Chrome and other browsers, in offering live web information retrieval. These platforms also provide clickable links when presenting search results, a feature now incorporated into ChatGPT’s Browse with Bing functionality.

While OpenAI offers instructions for the browser version, the same guidance is notably absent for the iOS app. Nonetheless, with a subscription in hand, users can access the feature through a series of steps: navigate to the three dots menu > Settings > New Features > Browse with Bing.

Subsequently, initiate a new chat, tap GPT-4, and select “Browse with Bing.” Following these steps enables users to retrieve information from contemporary websites.

Furthermore, when ChatGPT responds to a query, users can click on the linked site to cross-reference the answers provided. This enhancement not only empowers users to verify the accuracy of the information but also ensures proper attribution—a crucial aspect, especially in a context where AI-generated content has the potential to be misleading.

OpenAI had previously introduced web browsing capabilities within its ChatGPT iOS app in late June, only to retract it shortly afterward.

Kneron Secures $49 Million in Series B Funding to Compete with Nvidia

Sahil Pawar

September 28, 2023

Kneron, a U.S.-based semiconductor startup, announced on Tuesday that it has secured an additional $49 million in a series B funding round to advance the commercialization of its artificial intelligence chips, aiming to compete with Nvidia.

This fresh funding round brings Kneron’s total funding to $97 million, with notable investors including Taiwan’s Foxconn, known for assembling Apple’s iPhones, and Alltek, a communications tech firm.

Kneron is capitalizing on the growing investor interest in AI and chip technology, fueled by Nvidia’s remarkable 180% growth and the recent IPO of semiconductor designer Arm in the US

In contrast to Nvidia’s GPUs that power data centers, Kneron focuses on designing chips for consumer electronics and vehicles, enabling AI at the edge rather than relying on cloud services for AI processing, which enhances security and speed.

Kneron’s chips, known as neural processing units (NPUs), include the latest product, the KL730, designed for autonomous driving support. Albert Liu, CEO of Kneron, noted that GPUs are costly to operate, potentially driving demand for their more cost-effective NPUs.

Kneron’s primary focus, with this funding, is to expand efforts in making autonomous driving a reality through AI integration. Kneron faces competition from giants like Qualcomm and MediaTek, who are also venturing into on-device AI with their semiconductor offerings, along with various AI semiconductor startups.

One notable investor, Foxconn, aims to diversify beyond electronics assembly, venturing into areas like electric cars and semiconductors. Their collaboration with Kneron aims to accelerate the deployment of advanced AI, developing ultra-lightweight AI chips for cloud-based AI applications like ChatGPT.

Foxconn’s semiconductor endeavors have encountered challenges, including a recent exit from a joint venture with Vedanta, highlighting the complexities of the microchip market.

US Army Grants Palantir $250 Million Contract for AI and Machine Learning Research

Sahil Pawar

September 28, 2023

The US Army has granted Palantir Technologies a substantial contract, valued at up to $250 million, to delve into artificial intelligence (AI) and machine learning (ML) research and experimentation.

This agreement, disclosed by the Department of Defense on September 26, is slated to continue until 2026. The specifics regarding the work locations and funding allocation will be determined on a per-order basis.

The defense sector’s interest in AI and ML has seen remarkable growth, with military officials recognizing their potential in various battlefield applications. This surge in interest aligns with industry enthusiasm for these technologies.

As of 2021, the Defense Department was managing over 685 AI-related projects, according to the Government Accountability Office. Notably, at least 232 of these projects fell under the Army’s jurisdiction.

Palantir previously engaged in a legal battle with the Army over procurement procedures in 2016, which it won. Subsequently, the company has secured numerous multimillion-dollar contracts.

In October 2022, the Army awarded Palantir a five-year predictive maintenance contract, valued at just over $85 million. The military aims to enhance supply chain efficiency, reduce unit downtime, and rely on machine-powered forecasts.

Additionally, Palantir is playing a role in implementing the Army’s Global Force Information Management system. This system consolidates more than a dozen aging applications and offers leaders an automated and comprehensive view of manpower, equipment, training, and troop readiness.

Digital India Bill Expected to Bring Algorithmic Accountability and Opt-Out Rights

Sahil Pawar

September 28, 2023

In an effort to address growing concerns of discrimination and bias in artificial intelligence (AI) algorithms, the Indian government is preparing to introduce provisions in the upcoming Digital India Bill. These provisions aim to enhance algorithmic accountability and grant citizens the right to opt out of decisions made by algorithms. However, opting out may come with conditions, potentially requiring citizens to forfeit certain digital services that rely on algorithmic decisions.

The move comes as AI-based algorithms face scrutiny for their potential biases and discriminatory outcomes. The government’s intention to introduce algorithmic accountability reflects the widespread use of artificial intelligence in various aspects of daily life, including governance.

Under the proposed legislation, the Digital India Bill will replace the two-decades-old Information Technology Act and establish comprehensive oversight mechanisms for the digital landscape. The opt-out mechanism, as outlined in the bill, will allow citizens to decline algorithmic decisions. However, there may be exceptions when the decision is legally required or authorized or if permitted under the law.

The bill is also expected to mandate that organizations provide explanations for algorithmic decisions, including the user characteristics and processes involved. In cases where citizens cannot opt-out, they may have the option to request a human review and reconsideration of the decision. This could have a significant impact on content moderation by social media platforms, which heavily rely on AI automation.

The Digital India Bill is currently undergoing pre-consultations in various cities, with discussions centered on principles such as open internet, online safety, trust, accountability, adjudicatory mechanisms, and new technologies. The government is considering changes, including the potential removal of the safe harbor provision for internet intermediaries, to address the evolving digital landscape effectively.

Genpact CEO Highlights Limitations of Foundational AI Models for Enterprise Use

Sahil Pawar

September 28, 2023

While Genpact, a Business Process Management (BPM) firm, has been engaged with OpenAI’s large language model, GPT, CEO NV Tyagarajan emphasized the importance of careful application due to the potential for incorrect responses that users may struggle to decipher. He noted that further fine-tuning is required to make these language models suitable for enterprise use cases, particularly when addressing specific and nuanced customer inquiries, such as order tracking.

Tyagarajan emphasized that he views artificial intelligence as a tool for augmented intelligence, with humans actively involved in the decision-making process rather than a complete replacement for human roles. This approach reflects Genpact’s commitment to harnessing AI to enhance human capabilities and drive innovation in the BPM industry.

Genpact is actively pursuing 100 generative artificial intelligence (AI) proof of concepts (PoC) across 10-12 distinct use cases, according to Tyagarajan. This initiative follows Genpact’s recent announcement that it will invest approximately $600 million over the next three years to bolster its AI capabilities, as stated during its Q2 2023 earnings conference.

Tyagarajan explained that these 10-12 specific use cases are being designed with the intention of applying them across multiple clients, promoting efficiency and consistency in their AI solutions.

To support its $600 million investment, Genpact will channel resources into its own innovation and research and development (R&D) teams, client co-innovation initiatives, data, technology, and AI skills training, and the creation of specialized expert groups. The firm also intends to explore acquisitions in the fields of data analytics and intellectual property (IP) and frameworks related to data models.

Microsoft Explores Nuclear Energy to Power AI Data Centres

Sahil Pawar

September 27, 2023

In response to the significant energy demands of running AI models like ChatGPT, Microsoft is exploring the use of nuclear energy to power its AI data centres. A recent job posting indicates that Microsoft is actively recruiting a “principal program manager for nuclear technology” to assess the feasibility of integrating nuclear energy into the infrastructure of data centres hosting AI models.

Microsoft‘s focus appears to be on the use of microreactors and Small Modular Reactors, which are more cost-effective and manageable compared to larger nuclear reactors. The goal is to sustain the data centres supporting the Microsoft Cloud and AI infrastructure, which require immense computational power to operate AI models effectively.

AI models, such as ChatGPT, impose substantial server expenses, potentially costing up to $700,000 per day to run. Microsoft sees nuclear energy as a viable solution to address this escalating energy demand.

Microsoft’s commitment to environmental sustainability is evident in its $10 billion agreement with OpenAI, the creators of ChatGPT. Microsoft provides cloud services to support OpenAI’s models and has integrated OpenAI’s technology into its Bing search engine.

The environmental concerns surrounding the energy consumption of generative AI are growing. Studies estimate that training models like GPT-3 result in significant carbon emissions and water usage.

Microsoft has recently pledged to accelerate its efforts to power data centres with renewable energy sources and reduce emissions. The company aims to become carbon negative, water positive, and achieve zero waste status by 2030, aligning its goals with a more sustainable future.

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