A group of authors, including Ta-Nehisi Coates and Sarah Silverman, has accused Meta Platforms of using pirated books to train its AI systems with CEO Mark Zuckerberg’s approval. Newly disclosed court documents filed in California allege that Meta knowingly relied on the LibGen dataset, which contains millions of pirated works, to develop its large language model, Llama.
The lawsuit, initially filed in 2023, claims Meta infringed on copyright by using the authors’ works without permission. The authors argue that internal Meta communications reveal concerns within the company about the dataset’s legality, which were ultimately overruled. Meta has not yet responded to the latest allegations.
The case is one of several challenging the use of copyrighted materials to train AI systems. While defendants in similar lawsuits have cited fair use, the authors contend that newly uncovered evidence strengthens their claims. They have requested permission to file an updated complaint, adding computer fraud allegations and revisiting dismissed claims related to copyright management information.
US District Judge Vince Chhabria has allowed the authors to file an amended complaint but expressed doubts about the validity of some new claims. The outcome of the case could have broader implications for how AI companies utilise copyrighted content in training data.
Meta has announced that Instagram and Threads users will no longer be able to opt out of seeing political content from accounts they don’t follow. The change, part of a broader push toward promoting “free expression,” will take effect in the US this week and expand globally soon after. Users will be able to adjust how much political content they see but won’t be able to block it entirely.
Adam Mosseri, head of Instagram and Threads, had previously expressed reluctance to feature political posts, favouring community-focused content like sports and fashion. However, he now claims that users have asked to see more political material. Critics, including social media experts, argue the shift is driven by changing political dynamics in the US, particularly with Donald Trump’s imminent return to the White House.
While some users have welcomed Meta’s stance on free speech, many worry it could amplify misinformation and hate speech. Experts also caution that marginalised groups may face increased harm due to fewer content moderation measures. The changes could also push discontented users toward rival platforms like Bluesky, raising questions about Meta’s long-term strategy.
Brazilian President Luiz Inácio Lula da Silva has condemned Meta’s decision to discontinue its fact-checking program in the United States, calling it a grave issue. Speaking in Brasília on Thursday, Lula emphasised the need for accountability in digital communication, equating its responsibilities to those of traditional media. He announced plans to meet with government officials to discuss the matter.
Meta’s recent decision has prompted Brazilian prosecutors to seek clarification on whether the changes will affect the country. The company has been given 30 days to respond as part of an ongoing investigation into how social media platforms address misinformation and online violence in Brazil.
Justice Alexandre de Moraes of Brazil’s Supreme Court, known for his strict oversight of tech companies, reiterated that social media firms must adhere to Brazilian laws to continue operating in the country. Last year, he temporarily suspended X (formerly Twitter) over non-compliance with local regulations.
Meta has so far declined to comment on the matter in Brazil, fueling concerns over its commitment to tackling misinformation globally. The outcome of Brazil’s inquiry could have broader implications for how tech firms balance local laws with global policy changes.
French startup Rounded is developing an orchestration platform that allows companies to create their own AI voice agents. Initially focused on web3, the company shifted its attention to AI-powered voice interactions in mid-2023. Its first product, Donna, was designed for anesthetists, helping private hospitals handle large volumes of routine patient calls. The AI agent has already managed hundreds of thousands of conversations, improving in speed and accuracy over time.
After refining its technology, Rounded expanded its focus to offer a platform where businesses can build their own AI voice agents. Users can integrate various AI models, such as speech-to-text and text-to-speech engines, selecting components from providers like Azure, GPT-4o mini, and ElevenLabs. The platform also helps define prompts and parameters to optimise each agent’s performance for specific use cases.
The startup has secured €600,000 in funding from UC Berkeley’s SkyDeck accelerator and business investors. With growing interest in AI-powered customer interactions, Rounded is poised to attract further investment as it expands its product offering.
AI is transforming the way new medicines are developed, with AI-powered drug discovery advancing at an unprecedented pace. Insilico Medicine, a US-based biotech firm, has designed an experimental treatment for idiopathic pulmonary fibrosis (IPF) using AI to identify a potential drug target and generate molecules. The approach significantly reduced the time and resources needed, with the drug discovery process taking 18 months instead of the usual four years.
AI-driven methods are being adopted by both startups and major pharmaceutical companies to accelerate drug development. Insilico Medicine has multiple drug candidates in clinical trials, while Recursion Pharmaceuticals is using AI to analyse vast biological datasets and uncover new treatment possibilities. A molecule designed by Recursion to target lymphoma and solid tumours has already entered human trials, demonstrating the growing potential of AI in medical research.
Despite the progress, experts note that AI-discovered drugs have yet to complete full clinical trials. The technology faces challenges, particularly in data availability and bias, but researchers remain optimistic. As AI continues to refine drug discovery, many believe it will lead to faster, more cost-effective treatments and a higher success rate in bringing new medicines to market.
Google is testing a new feature called “Daily Listen,” which generates personalised AI-powered podcasts based on users’ Discover feeds. The feature, currently rolling out to US users in the Search Labs experiment, provides a five-minute audio summary of topics tailored to individual interests. Each podcast includes links to related stories, allowing listeners to explore subjects in greater depth.
The experience is integrated with Google’s Discover and Search tools, using followed topics to refine content recommendations. Daily Listen functions similarly to NotebookLM’s Audio Overviews, which create AI-generated audio summaries based on shared documents. Users who have access to the feature will see a “Daily Listen” card on their Google app’s home screen, displaying a play button and episode length.
Once launched, the podcast plays alongside a rolling transcript, offering a seamless blend of text and audio. Google aims to enhance how users consume news and stay informed, making the experience more interactive and personalised. The feature reflects the company’s ongoing push into AI-driven content delivery.
Nvidia has voiced strong opposition to a reported plan by the Biden administration to impose new restrictions on the export of AI chips, urging the outgoing president to avoid making a decision that could impact the incoming Trump administration. The company warned that such measures would harm the US economy, hinder innovation, and benefit adversaries like China. Nvidia’s Vice President, Ned Finkle, called the policy a “last-minute” move that would leave a legacy of criticism from both US industry and the global community.
The proposed restrictions, as reported by Bloomberg, aim to limit AI chip exports to certain countries, particularly targeting China to prevent the enhancement of its military capabilities. While some nations would face outright bans, the rules would also cap the computing power that can be exported to others. The Biden administration has yet to confirm the details, and requests for comment from the White House and the Commerce Department went unanswered.
Industry groups, including the Information Technology Industry Council, which represents major tech firms like Amazon, Microsoft, and Meta, have expressed concern about the policy. They argue that it would impose arbitrary limitations on US companies’ global competitiveness and risk ceding market leadership to foreign rivals. Nvidia warned that these restrictions could push international markets toward alternative technologies, undermining the US technology sector.
President-elect Donald Trump, who begins his second term on January 20, previously enacted technology export restrictions to China during his first term, citing national security concerns. Nvidia’s statement reflects apprehension about the continuity of US policy on AI chip exports under the new administration.
The Government of Uttar Pradesh, a state in northern India, and Google Cloud have partnered to launch a pioneering open network for agriculture, powered by Google’s Gemini and enabled by the Beckn Protocol. The initiative will provide millions of farmers with seamless access to essential services, including advisory, credit, mechanisation, and market linkages, all through a single platform.
The network is designed to be open and decentralised, allowing any service provider—from input suppliers to financial institutions and government agencies—to connect with farmers. Google’s Gemini framework facilitates easy access by enabling voice command interactions in multiple languages, including Hindi, Bengali, Telugu, Kannada, Gujarati, and Punjabi, with more languages to be added in the future.
The Beckn Protocol ensures interoperability and decentralisation, making the network an innovative alternative to traditional, closed-market systems. It encourages the development of customised solutions, fostering competition and innovation within the agricultural ecosystem.
The open network is part of Uttar Pradesh’s broader vision to digitise agriculture, double farmers’ incomes, and bridge the digital divide using AI technologies. The initiative also serves as a model for other regions, demonstrating how digital public infrastructure (DPI) can transform agriculture on a large scale.
The Uttar Pradesh government aims to empower farmers with the tools and resources they need to thrive in the 21st century. By leveraging the Beckn Protocol and Google Cloud’s DPI-in-a-box solution, the network enables the decentralised exchange of value, making agri-commerce and advisory services more accessible. Through this collaboration, Uttar Pradesh seeks to accelerate progress in agriculture while fostering innovation and enhancing its farming community’s economic and social impact.
AT&T has introduced a new initiative offering bill credits to customers affected by network outages, aiming to rebuild trust after a series of major service disruptions in 2024. The scheme, called AT&T Guarantee, will provide automatic credits to fibre customers experiencing outages of 20 minutes or more and wireless users facing at least an hour of disruption. The move follows a nationwide service failure last February, which lasted over 12 hours and blocked millions of calls, including thousands of emergency calls to 911.
The telecom industry has faced growing scrutiny over the reliability of its networks, with rivals such as T-Mobile and Verizon also experiencing significant outages. AT&T executives acknowledged that customer dissatisfaction had led to market share losses in recent years. In response, the company has invested over $140 billion in network improvements and nearly $1 billion in customer care and operations. The new guarantee is part of a broader effort to ensure dependable connectivity and restore consumer confidence.
Despite previous challenges, AT&T has maintained strong performance in customer satisfaction rankings, topping J.D. Power’s survey for business wireless service among large enterprises for three consecutive years until 2023. The company believes the new initiative will strengthen its position in the market by demonstrating a commitment to service reliability and customer compensation when expectations are not met.
Danish pharmaceutical giant Novo Nordisk is strengthening its collaboration with a United States tech firm Valo Health to develop new treatments for obesity, diabetes, and cardiovascular diseases using artificial intelligence and human data. The agreement, originally signed in 2023, has been expanded to cover up to 20 drug candidates, nearly doubling the initial scope of 11 treatments.
The expansion comes as Novo seeks to maintain its competitive edge in the booming obesity drug market, expected to be worth $150 billion in the next decade. A recent clinical trial for its weight-loss drug candidate, CagriSema, delivered underwhelming results, increasing pressure to develop a successor to its best-selling drug, Wegovy. Rival pharmaceutical company Eli Lilly is also pushing forward with its own obesity treatments, intensifying the race for dominance in the sector.
Under the revised deal, Valo Health will receive up to $190 million in near-term payments and milestone payments of around $4.6 billion, significantly increasing its earnings potential compared to the original agreement, which offered up to $2.7 billion. Novo hopes the collaboration will lead to groundbreaking therapies that extend the health benefits of weight-loss drugs beyond obesity treatment.
