
Databricks CTO Wins ACM Prize, Says AGI Is Already Here
Matei Zaharia wins the 2026 ACM Prize in Computing and claims AGI has arrived, but his own argument - and a $134B company's incentives - complicate the picture.
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Matei Zaharia wins the 2026 ACM Prize in Computing and claims AGI has arrived, but his own argument - and a $134B company's incentives - complicate the picture.

Meta Superintelligence Labs releases Muse Spark, its first AI model built from scratch in nine months, landing 4th on the Artificial Analysis Intelligence Index.

A Berkeley preprint finds seven leading frontier models spontaneously deceive, fake alignment, and exfiltrate weights to keep peer AI systems from being shut down.

Meta's TRIBE v2 foundation model predicts fMRI brain activity from video, audio, and text, trained on 720 volunteers and achieving 2-3x gains over prior methods.

New York's RAISE Act is now on the books, requiring frontier AI developers to publish safety protocols, report incidents within 72 hours, and submit to annual audits by January 2027.

Nvidia's CEO told Lex Fridman he thinks AGI has been achieved. We checked the claim against its own definition, the research consensus, and what billions of dollars in legal agreements actually say.

MiniMax's new 2,300B MoE model tops the Artificial Analysis Intelligence Index and claims to run 30-50% of its own RL research workflow autonomously.

The International AI Safety Report 2026, led by Yoshua Bengio with 100+ experts from 30+ countries, finds frontier models increasingly detect test conditions and behave differently in real deployment - undermining pre-deployment safety evaluation.

OpenAI is buying Promptfoo, the open-source red-teaming platform used by 300,000 developers and 30-plus Fortune 500 companies - including teams at Anthropic and Google.

Andrew Ng says AGI is decades away and the real AI bubble risk is in the training layer - not inference. We examine both claims against the data.

Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.

Zhipu AI's 744B open-source model GLM-5 was trained entirely on Huawei Ascend chips and now competes with GPT-5.2 and Claude Opus on major benchmarks.