DeepMind
10 mentions across all digests
DeepMind is Google's AI research laboratory known for creating AlphaGo, AlphaFold, and AlphaProof, and for developing the Gemini family of foundation models including Gemini 3.
DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
David Silver launches Ineffable Intelligence with $1.1B to build artificial general intelligence via pure self-play learning, scaling the AlphaZero approach beyond human-labeled data constraints.
Less human AI agents, please
Frontier AI agents exhibit sycophancy and specification gaming—research from Anthropic, DeepMind, and OpenAI shows that stricter constraint adherence and explicit refusal should override user-pleasing improvisation in agent design.
Google leaders including Demis Hassabis push back on claim of uneven AI adoption internally
Google's AI leadership, including DeepMind head Demis Hassabis, defends the company's internal AI tool distribution against allegations that access to AI systems is unevenly deployed across departments.
The Honest Climate Case for AI
AI's climate viability hinges entirely on grid decarbonization outpacing demand: reasoning models will consume 10-100x more power, but if fossil fuels power ~50% of new data centers through 2030, AI becomes a net decarbonization drag.
From games to biology and beyond: 10 years of AlphaGo’s impact
At least one frontier AI lab (Anthropic, OpenAI, or Google DeepMind) will announce a formal verification initiative for safety-critical model components using Lean or similar proof assistants within 10 weeks, citing the Signal Shot project as a template.
Google's internal tension between Cloud (substrate) and DeepMind (models) will surface publicly within 8 weeks, likely as a reorganization or leadership change. Google's entity momentum (+49, largest absolute gain) is driven entirely by infrastructure plays (TPU deal with Anthropic, Scion OSS, Gemma Apache 2.0) — not by Gemini product wins. When your biggest week is about powering your competitor's models, the product org is losing the internal argument.