Thursday, November 13, 2025
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Paytm’s CEO Expresses Concern Over OpenAI Blog Mentioning Human Extinction Due to Superintelligence AI

Vijay Shekhar Sharma, the creator of PayTm, stated his worries on the potential disempowerment and even extinction of humans as a result of the development of highly advanced AI systems. In a tweet, he expressed his concerns and made reference to a recent OpenAI blog. 

In his tweet, Sharma emphasized some concerning facts from the OpenAI post. He claimed to be “truly concerned” about the power that “some set of people & select countries have – already” accumulated. Another section of the OpenAI blog post that Sharma referred to stated that in less than 7 years we will have a system that can lead to disempowerment of humanity => even human extinction.

The blog post “Introducing Superalignment” by OpenAI talks about the need for new developments in science and technology to manage AI systems that might be more intelligent than people. To solve this problem, OpenAI is allocating a sizable amount of processing resources and assembling a team under the direction of Ilya Sutskever and Jan Leike.

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Superintelligence may still seem like a long way off, but OpenAI thinks it might materialize within the next ten years. According to the post, controlling the threats brought on by superintelligence necessitates developing new governance structures and finding a way to get AI systems to work with human intentions. 

Currently, AI alignment methods that rely on human supervision include reinforcement learning. However, these methods might not be adequate for synchronizing superintelligent AI systems that are more intelligent than humans. New scientific and technological developments, according to OpenAI, are required to handle this problem.

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OTV Introduces Odisha’s First AI News Anchor ‘Lisa’ 

OTV introduces Odisha's first AI news anchor ‘Lisa’
Image Credits: OTV

By introducing the state’s first AI news anchor on Sunday, Odisha Television Limited (OTC), a well-known Odia news network, has joined the list of businesses embracing artificial intelligence (AI) to improve their service production.

Beginning this month, Lisa, the AI-powered news anchor, is anticipated to deliver news updates for the channel. Lisa, who was created by the media company in association with a startup in Mumbai, has the capacity to communicate in several languages. However, for the time being, it will provide news for the TV network’s channel and digital channels in both Odia and English. Additionally, the AI bot will continue to be active on Facebook and Instagram.

“OTV gave television journalism a gift with the AI anchor,” said OTV MD Jagi Mangat Panda. “It is both the first Odia news anchor and the first AI anchor in the free-to-air regional television broadcasting industry.”

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“AI is going to be a terrific partner in helping us complete repetitive, data-intensive tasks. Its implementation will enable journalists to concentrate more on developing fresh perspectives and engaging in more creative work to deliver news to the public in a higher standard,” she said.

The AI anchor, according to Litisha Mangat Panda, head of OTV Digital Business, is a significant advancement in the state’s media landscape. We anticipate that the current AI revolution will engulf digital news broadcasting and television, she said.

Recently, India Today debuted the country’s first-ever AI news anchor. Known as “Sana,” the anchor made her Aaj Tak debut on the programme Black & White with journalist Sudhir Chaudhary. Sana displayed her linguistic prowess by addressing the visitors in around three languages, including Gujarati.

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Elon Musk’s Twitter Threatens to Sue Meta Over Threads Platform

Twitter Threatens Sue Meta Over Threads Platform
Image Credits: CNN

The potential rival of the microblogging website Twitter, Meta’s new Threads app, has received a lawsuit threat from Twitter. According to CNN, a letter accusing Meta of stealing trade secrets by hiring former Twitter employees was delivered to CEO Mark Zuckerberg on Wednesday.

Elon Musk, the owner of Twitter, alleged in a letter that Meta had engaged in “systematic, willful, and unlawful misappropriation of Twitter’s trade secrets and other intellectual property.” This claim was made by Alex Spiro, an external attorney for Elon Musk.

Twitter demands that Meta stop exploiting any Twitter trade secrets or other highly private material immediately and stated in the letter that it plans to vigorously pursue its intellectual property rights. After the successful introduction of the Threads app, Elon Musk wrote, “Competition is fine, cheating is not.”

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More than ten million users registered for the new app in the first seven hours, outperforming the launch of several other well-known platforms, as Zuckerberg stated. 

Spiro also mentioned the business’s right to ask for injunctive remedy or civil remedies. He continued by saying that the letter served as a formal notice to Meta to hold onto records important to a prospective legal dispute between the two companies.

“No one on the Threads technical team is a former Twitter employee,” stated Andy Stone, a representative for Meta, in response to the report. Threads is released at a time when many people are looking for alternatives to Twitter in order to avoid Elon Musk’s control over the service since he bought it last year for $44 billion.

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Authors Sue OpenAI Over Alleged Use of Their Books to Train ChatGPT without their Consent

Authors sue OpenAI over alleged use their books train ChatGPT without consent
Image Credits: BBC

Last week, two writers filed a complaint against OpenAI, alleging that the company’s artificial intelligence chatbot, ChatGPT, was trained using their copyrighted books without their permission.

The authors of “The Cabin at the End of the World,” Paul Tremblay, and “Bunny” and “13 Ways of Looking at a Fat Girl,” Mona Awad, claim that ChatGPT creates very accurate summaries of their works. They assert that the summary would be only possible if ChatGPT had been trained on their publications, which would be against copyright laws.

The chatbot is taught using a vast amount of textual information. Although OpenAI won’t specify what specific data was used to train ChatGPT, the business claimed that it mainly browsed the web, utilizing resources like Wikipedia and old books.

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According to the lawsuit, much of the information in OpenAI’s training data is based on copyrighted works, including books by Tremblay and Awad. The action was submitted to a federal court in San Francisco. But it might be difficult to demonstrate precisely how and from where ChatGPT obtained this information, as well as whether the writers have experienced monetary losses.

The complaint contains samples of the summaries that ChatGPT produced and indicates some errors made by the chatbot. However, according to Awad and Tremblay, the remaining summaries are correct, which shows that “ChatGPT retains knowledge of particular works in the training dataset.”

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OpenAI’s Latest Text-generating Model GPT-4 Now Generally Available

OpenAI's GPT-4 now generally available
Image Credits: TechDT

The latest text-generating model from OpenAI, GPT-4, has been made generally available, the company announced. Now, GPT-4’s API is accessible to developers.

Access to the GPT-4 API is currently only available to developers with a history of successful payments in the past, but the business intends to grant new developers access by the end of this month. Depending on the availability of compute, OpenAI will also increase its availability. 

GPT-4, which replaces GPT-3.5, is a much more powerful than its forerunner. It can generate text, including codes, and receive inputs of both text and images. It is trained using data that is freely accessible to the general public, including data from open-access websites and data that OpenAI has a license to use.  

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Since March, millions of developers have requested access to the GPT-4 API, and the range of innovative products leveraging GPT-4 is growing every day, according to the business. 

Later this year, OpenAI intends to make it possible for developers to use their own data to fine-tune GPT-4 and GPT-3.5 Turbo. Developers of other OpenAI text-generating models currently have access to this functionality. Additionally, OpenAI has said that it is opening up access to its DALL-E 2 and Whisper APIs.  

OpenAI has also said that it will stop supporting some of its older models using the Completions API. The business made this choice to boost its investment in the Chat Completion API and to maximize its computing power. The firm will designate the models built using the Completions API as legacy in its developer documentation even though they will be accessible for the following six months. 

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TCS to Train 25,000 Employees in Microsoft’s Azure OpenAI

TCS train 25,000 employees Microsoft's Azure OpenAI
Image Credits: Entreprenuer

The biggest IT services provider in India, Tata Consultancy Services (TCS), announced on Thursday that it would train 25,000 engineers in generative artificial intelligence tools and services from OpenAI, the company behind ChatGPT.. 

The Azure cloud platform from Microsoft will host and deliver generative AI services, making this service available to clients. Additionally, the company unveiled TCS Generative AI Enterprise Adoption, a generative AI business product that enables companies to install OpenAI’s generative AI business tools on the Azure cloud platform. 

According to TCS, the business unit will help clients enhance customer experience, launch new business models, grow revenue, and enhance productivity. The opening of the Azure OpenAI business unit follows TCS’s announcement on May 22 of a cooperation with Google Cloud to introduce generative AI business products based on Google’s cloud infrastructure.

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The company’s technology innovation centers, also referred to as TCS Pace Ports, are located in the US, Canada, the Netherlands, and Japan, and they will serve as the bases of research and engineering for both Microsoft and Google’s cloud-based generative AI solutions.

The current batch of 25,000 people will be expressly certified in Azure OpenAI skills to meet customer demand in TCS’s new business unit, despite the fact that the company already has 50,000 employees who have received AI training.

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Amazon CEO Says the Company Still in AI Race Against Microsoft, Google 

Amazon CEO says company still AI race Microsoft Google
Image Credits: CNN

Amazon CEO Andy Jassy doesn’t think the retail and cloud computing behemoth should be written off just yet in the fight for artificial intelligence.

Jassy disputed the idea that Amazon has lagged behind in AI as Microsoft and Google integrate chatbots into consumer goods like their search engines in an interview, comparing it to the “hype cycle” prior to the “substance cycle.”

“I think most people are focused on the applications, things like ChatGPT brought everybody’s awareness up, but I believe of generative AI as having three macro layers,” Jassy said in an interview with Jon Fortt that aired on “Closing Bell Overtime” late on Thursday. “I believe they are all very significant and large.”

“At the bottom layer is the compute that all of the machine learning, training and inference, which are the predictions from the models that are going to be run on and what matters in that computer is the chip in there…Bedrock is that middle layer where it allows people have a foundational model that they can build their applications on top. That third layer which I was about to get to that top layer is the application layer,” he said.

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According to Jassy, Amazon plans to make investments in artificial intelligence across the board because they can enhance “virtually every customer experience.” However, he singled out Amazon Web Services as a company that can profit long-term from the excitement surrounding AI.

Earlier this year, AWS announced a generative AI service called Bedrock that allows users to create their own chatbots and image-generating tools using language models from Amazon and other firms.

The CEO also said that Amazon will compete with Nvidia, a market leader in AI chips because of its potent semiconductors. Inferentia and Trainium, two AI-specific AWS chips, are designed to make it simpler for programmers to run expansive AI language models in the cloud. 

Amazon anticipates that its chips will offer “much better price-performance than you’ll find anywhere else,” according to Jassy. Jassy claimed that Amazon has a significant advantage in AI because of Bedrock, Amazon’s proprietary processors, and other services like CodeWhisperer, which produces and suggests code for engineers.

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UK-Based Firm Invests ₹30,000 Crore in Odisha to Set Up a Semiconductor Unit

UK-based firm plans semiconductor unit in Odisha
Image Source: Reuters

A UK-based firm plans to invest ₹30,000 crores in the first phase to set up a semiconductor fabrication unit in Odisha’s Ganjam district. The SRAM and MRAM Technologies and Projects India Pvt. Limited is the Indian unit of the UK-based SRAM and MRAM group. 

On March 26, the firm signed a Memorandum of Understanding (MoU) with the state government to set up the semiconductor unit in the state. 

The Group Vice Chairman, Dr.Gurujee Kumaran Swami, conducted a meeting with the district administration at Chhatrapur after visiting nearby sites in the district. The company officials visited other areas of the districts as well but preferred a location close to Chhatrapur due to Gopalpur port, a dedicated industrial corridor, an airstrip, and a national highway, besides the availability of clean water and energy required for fabrication units.

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Shri Dibya Jyoti Parida, the collector of Ganjam, has assured the investors availability of all facilities for setting up the unit.

“We have visited some sites, including the industrial park of Tata and some private lands for the establishment of the proposed semiconductor unit. A technical team of the company will visit the district to finalize the site,” said Debadutt Singhdeo, project director of the firm.

According to officials, the firm requires approximately 500-800 acres of land to establish the Semiconductor unit. They have planned to launch the unit within two years and provide employment to around 5000 people.

The firm will produce memory chips that are used in laptops, mobiles, televisions, ATMs, and air conditioners. As the country is not self-reliant in producing semiconductors, it imports approximately ₹3 lakh crore semiconductors annually from other countries.

Berhampur MP Chandra Sekhar Sahu, “The project will boost industrialization in the district.” Due to increasing industrial policy, many industries are interested in investing, and this will aid in generating employment as well as address the semiconductor requirement in India, Sahu said.

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PM Modi Introduces AI Language Platform Bhashini at SCO 

PM Modi AI language platform Bhashini
Image Credits: Bhashini

The Indian government announced ‘Bhashini,’ a ground-breaking AI-based programme, in 2022 with the goal of bridging the linguistic gap inside the nation. Now the program has been officially introduced by Prime Minister Narendra Modi at the televised summit of the Shanghai Cooperation Organisation (SCO), emphasizing its potential global significance.

India is renowned for having a wide variety of languages, with the 2011 Census reporting that at least 10,000 people in India speak 121 major languages. However, many of these languages have found it difficult to find online representation in the digital age, which has hampered the growth of a fully developed digital economy. Addressing this problem and facilitating smooth communication between various Indian languages is Bhashini’s main goal.

Bhashini works on creating a National Public Digital Platform for regional languages as part of the National Language Translation Mission (NLTM), which is run by the Ministry of Electronics and Information Technology (MeitY). The government wants to move beyond the dominance of Hindi or English by providing digital information in native tongues. Bhashini aspires to empower Indian MSMEs, start-ups, and developers by giving them access to cutting-edge language technology through the use of AI and natural language processing (NLP) tools.

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A data repository, a model repository, and the Universal Language Contribution API (ULCA) are all included in the comprehensive framework known as Bhashini. The greatest resource of Indian languages is ULCA, a standardised and scalable platform for Indian language datasets and models. 

Bhashini’s use of ULCA to collect important data and model contributions will help researchers create AI tools for machine translation, automated speech recognition (ASR), text-to-speech (TTS), and optical character recognition (OCR) across a variety of Indian languages. At the moment, ULCA is home to an excellent collection of benchmark datasets, 80 ASR models, and 466 translation models.

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AI Finds 40.87 Lakh Mobile Numbers Out of 87 Crore Obtained Using Fake Documents 

AI finds 40.87 lakh mobile numbers obtained using fake documents
Image Credits: Shutterstock

In a recent study employing artificial intelligence (AI), the Union Ministry of Communications found that 40.87 lakh (0.47%) of the 87.85 crore mobile phone connections examined across India were secured using forged documents. There are 131 crore subscribers in 22 Licenced Service Areas (LSA) circles across the nation. However, only 87.85 crore connections were examined in phase 1.

ASTR, an artificial intelligence and facial recognition-powered solution for telecom SIM subscriber verification, detected 40.87 lakh fraud connections on Tuesday. Of those, 38 lakh such numbers have been disconnected, according to an internal communication sent on Tuesday by K Rajaraman, secretary from the Ministry of Communications, to Chief Secretaries and Director Generals of Police of all states and Union Territories.

In phase 1 of the analysis, which examined 87 crore mobile connections across 22 LSA circles in India, it was also discovered that 44,582 telecom service provider Point of Sales (PoS) were involved in the sale of these connections.

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The analysis of 1.20 crore mobile connections in Jammu and Kashmir revealed that 15,194 of these connections had been secured using fabricated or false documents, on which the investigators had discovered the same faces but different identities. In Jammu and Kashmir, 14,494 lines were disconnected due to the fraudulent connections, and 3024 PoS were placed on a blacklist.

Similarly, 5.33 lakh numbers were discovered to have been obtained using forged documents in the Haryana circle, where 3.08 crore connections were examined. 5.24 lakh phone numbers were terminated as a result, which was the most in phase 1. Almost 3.17 crore numbers were assessed in the Punjab circle, and 1,51 lakh were discovered to be fraudulent connections, while 1.44 lakh numbers were disconnected. 

Five FIRs were registered in Haryana, but only 13 in Punjab. Out of 4.52 crore connections evaluated, West Bengal circle saw the largest number of fraudulent connections (12,34,114), yet not a single FIR was filed. “More FIRs need to be filed against the offenders in order to stop the threat,” said the Ministry’s communique. 

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