The danger of AI is not that it will become conscious and hate us, but that it will become competent and ignore us."
—Eliezer Yudkowsky
In-depth analysis of newly released AI models, benchmarks, parameter architectures, multimodal capabilities, and evaluations.
Anthropic said the Accenture partnership is non-exclusive, with additional evaluators to be announced in the coming weeks, while the company continues discussions with METR and other evaluators.
Anthropic has introduced new measurements to track the pace of AI development inside frontier labs amid growing automation in the process of building AI systems and rising global debate over AI safety.
At the fourth edition of ALL IN in Montréal, the joint funding for LawZero will support its Scientist AI approach, which aims to provide guardrails for frontier AI models and deepen understanding of AI risks and how to avoid them.
The collaboration will make Mistral models available through Mozilla’s AI-powered browsing assistant, with the companies highlighting privacy, user choice, regional language support and sovereign AI.
Sam Altman and Dario Amodei call for a slower pace of frontier AI development, as OpenAI rules out a 2026 IPO amid mounting safety concerns and questions emerge over Anthropic’s planned listing.
More than 100 Poolside employees, including engineers, are expected to join NVIDIA and contribute to its Nemotron open-weight AI models.
Frontier AI models are doubling their offensive cyber performance every six months while costs crash. Banks, telecoms, energy firms and critical infrastructure are the next high-value targets, warns Irregular CEO Dan Lahav, who is calling for urgent Differential Defensive Cyber Acceleration.
Frontier AI models now surface security findings faster than any team can read them. NIELIT’s Cyber Kushti 2026 hands participants a deliberately imperfect assessment package and scores them on what they reject as much as what they fix.
A new preprint study finds that “mind viruses” can spread ideas and goals between AI agents, potentially redirecting agents toward harmful behaviours in multi-agent systems.
While praising the homegrown AI companies, Wise also noted that these companies still lag behind their US and China based peers in terms of capital investment and overall AI adoption.
