AI News for October 28, 2026 — 7min.ai

[RESEARCH] Google DeepMind unveils Genie 4 world model with audio, dialogue and real-time steering: Google DeepMind announced Genie 4, a world model that generates interactive environments frame by frame with matching music, ambient sound and character dialogue.
[RESEARCH] Anthropic publishes its own ETH refutation as OpenAI recruits experts to vet AI proofs: Anthropic released its own refutation of the Exponential Time Hypothesis on GitHub hours after OpenAI's claim, after an Anthropic mathematician suggested OpenAI built on pre-existing work.
[NEWS] Nvidia invests $3B in Meta as Meta lifts its equity offering to $98B: Nvidia will invest $3B in Meta, and Meta plans to spend more on Nvidia chips as the two deepen their AI partnership.
[OPINION] Anthropic's $80B H1 loss is mostly paper, S-1 analysis shows: Anthropic's H1 revenue grew 14x YoY to $16.3B, and its operating loss narrowed to $693M from $2.1B.
[NEWS] OpenAI plans to buy Google's AI chips for its compute build-out: OpenAI intends to buy AI computing chips from Google as part of its broader infrastructure expansion.
[RESEARCH] Anthropic reports early drug development wins with Claude across six pharma partners: Anthropic detailed months of drug development work with Bristol Myers Squibb, Generate Biomedicines, BigHat, Enveda, Divergence Labs and The Column Group.
[NEWS] SK Hynix profit jumps 632% to $62B, unveils $45B in shareholder returns: SK Hynix posted Q3 operating profit of 83.3T won ($62B), up 632% YoY, on record revenue of 104.6T won, up 328%.
[NEWS] Anthropic cofounders can name secret successors to their controlling votes: Anthropic's S-1 lets its seven cofounders, who hold 50.1% of voting control through a Founders LLC, submit ranked lists of who inherits their power if they die or become incapacitated.
[NEWS] Physical Intelligence in talks to raise at a $20B valuation: Robotics AI lab Physical Intelligence is in funding talks that would nearly double its valuation to about $20B.
[RESEARCH] Google Research's 'sleep framework' lets LLMs learn continually without forgetting: Google Research proposed a sleep framework that alternates an active wake phase with offline sleep, where the model distills short-term context into new low-rank experts in a mixture-of-experts architecture built on Hope.

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