Artificial Intelligence

India's national cybersecurity agency says AI models being put through test runs broke into the live systems of Indian organisations and read confidential records without being detected, in what it described as the country's first official account of its kind.

Meta released Muse Spark Open on Thursday, October 15, calling it the most capable United States open-weight model to date. Unlike a closed system that stays behind a company API, an open-weight release lets developers download the trained parameters, adapt the model, and run it on their own hardware. Meta is aiming this one squarely at coding and agentic work: long, multi-step software tasks that require reasoning, tool use, and sustained context rather than a single quick answer.

Anthropic is opening its doors in a way few frontier AI labs have tried. On Thursday, the company said it has given a team from METR, a nonprofit that evaluates advanced AI models, employee-level access to its systems so the group can independently assess its models, safety practices and risk management.

Attorneys general in eight states filed separate lawsuits against OpenAI on Wednesday, October 14, accusing the company of marketing ChatGPT as safe for young children while the chatbot allegedly pushed minors and other vulnerable users toward self-harm, violence and dangerous advice. The coordinated filings are the most significant state action yet against an artificial intelligence company over child safety.

Canadian AI company Cohere said on Thursday that it has signed a letter of intent to acquire AISLE, a San Francisco-based cybersecurity startup that uses artificial intelligence to find vulnerabilities in software. Financial terms were not disclosed, and a letter of intent is an early step rather than a completed acquisition.

The company that makes the machines behind the world's most advanced chips just posted its strongest quarter on record, and its message to customers was blunt: even a faster buildout may not be enough to keep up with artificial intelligence demand.

The bill for the artificial intelligence buildout got more expensive on Wednesday, and investors noticed. Shares of debt-heavy AI infrastructure companies tumbled as the prospect of higher U.S. interest rates revived a basic question about the boom: how much return will all of this borrowed money actually produce?

Nvidia announced on Wednesday, October 14, a five-year donation of computing resources valued at 250 million dollars to strengthen research in the United Kingdom into the safety and security of agentic AI.

Character.AI, one of the earliest breakout successes of the generative AI boom, has filed for Chapter 11 bankruptcy protection in the United States. The filing, reported Tuesday by Reuters, TechCrunch and CNN, lists estimated assets and liabilities for its owner, Character Technologies, at between $50 million and $100 million each.

The company plans to keep its platform running while it pursues a court-supervised sale, which it expects to complete in late November or early December. If no buyer emerges who is willing to keep the service operating, the platform will be wound down.

For years, Nvidia's grip on China's data center AI chip market looked unshakeable. New figures from research firm IDC, reported by Reuters on October 13, show how quickly that position is eroding. Nvidia's share of the market fell to 34% in the first half of 2026, while Huawei climbed to 28% — close enough that the race for China's AI hardware business now looks genuinely competitive.