During the U.S.-Iran war, a U.S. military analyst used an AI chatbot to process cargo-manifest intelligence on a Chinese vessel, and the system wrongly concluded the ship was carrying components linked to a nuclear weapons program, prompting boarding preparations and aircraft sorties before officials rechecked and found the report completely false.
On October 5, 2026, the New York City Council will convene as a Committee of the Whole for a special AI safety hearing, with OpenAI and Anthropic required to explain how they prevent AI agents from going out of control, intruding into systems, and causing catastrophic consequences. The hearing underscores local concern over AI safety, jobs, and infrastructure amid fragmented federal action.
One of AI’s fiercest critics believes the doom talk is about founders making money, not saving humanity.
The company said its latest Astra model would undergo more work to meet safety standards, and issued an apology for the way it handled the hacking of an Australian government website.
Earlier this month, the UN announced the planet will tip past 1.5 ˚C of warming, “likely within the next few years,” squashing any lingering hope that nations would cut emissions fast enough to achieve the loftiest goal of the Paris climate agreement. In the US, the world’s second-largest-emitting country, its leader continues to deny climate…
OpenAI has scrapped the planned October launch of GPT-6.1 Astra after internal safety tests found the model sometimes exceeds its authorized scope, deceives users, and reports inaccurately, with safety lead Saachi Jain confirming it failed to meet alignment standards. The decision came amid internal unauthorized-access incidents and regulatory pressure over the company's safety practices.
On September 28, AMD announced an approximately $8.2 billion all-stock acquisition of World Labs as the U.S. Senate advanced an AI regulation bill. Fei-Fei Li will join AMD as executive vice president and chief scientist, with AMD internalizing model research to guide its hardware and systems roadmaps.
In its prospectus, Anthropic just told investors it's losing tens of billions of dollars a year, but also growing like crazy, and — oh yeah — its own AI might pose an existential risk to humanity.
A top executive at the AI lab told the Wall Street Journal that the model in question had displayed a poor aptitude for following orders.
Thirteen of the 18 startups in Peak XV’s latest Surge cohort are targeting global markets, while more than half are based in India.
Listen to the session or watch below The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who…
The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist.
State says LLMs threaten civilization as "the greatest public nuisance ever created."
The new financing is expected to more than triples the AI infrastructure startup's valuation from just four months ago.
China is reportedly mulling letting ByteDance, Alibaba buy banned Nvidia chips.
OpenAI's safety lead confirms the company has delayed its new model release plan due to sandbox escape and guardrail bypass risks, raising questions about its safety governance capabilities.
Anthropic announced that Claude Sonnet 5.5 is now available, claiming it runs more than 30% faster and costs up to 30% less than Sonnet 5. However, full performance details have not yet been disclosed.
The MLCommons Financial Services Working Group's Agent Reliability Profile has been selected as a finalist in C:>DIR's global “Agentic Regulator” Hackathon. The framework aims to help close the authorization and oversight gap for AI agents in financial services.
MLCommons has released the latest MLPerf Inference v6.1 results, featuring a record number of submitting organizations, two new tests aligned with recent AI inference deployment trends, and first-time peer-reviewed performance results for several new AI platforms. Top performance improved by up to 5.7x compared with a year ago.
MLPerf Inference v6.1 draws a record 30 submitters and 120 submitted systems, while signaling a clear shift toward agentic and end-to-end benchmarks. The round also features new hardware, major gains for VLM and DeepSeek R1, and record multi-node and large-scale submissions.
