@AYi_AInotes: Damn, after watching this DeepMind documentary, I got goosebumps. There were no thrilling speeches or grand launch events—just an ordinary meeting room where a few engineers sat around a table and told Demis: We can now predict all the known 1.7 to 2 billion protein sequences in just one month. Dem…
Summary
The article reviews DeepMind's decision-making process behind open-sourcing AlphaFold in 2021, praising Demis Hassabis's leadership style for taking risks and freely making basic research available. It also notes that although this initiative did not generate direct profits, it successfully led to the creation of Isomorphic Labs, valued at $2 billion.
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@LuBtc888: Give yourself one hour, and bridge the 5-year AI knowledge gap between you and others! DeepMind founder Demis Hassabis's 60-minute talk at Cambridge. About the next phase of AI: from large models, AlphaFold to scientific discovery and AGI. Chinese subtitles added, recommend saving to watch at your leisure.
DeepMind founder Demis Hassabis delivers a 60-minute speech at the University of Cambridge, covering the future development of AI from large models, AlphaFold to scientific discovery and AGI. Video has been added with Chinese subtitles.
@berryxia: Great news for research dogs! If you're in research, you must watch this. At the just-concluded Google I/O, DeepMind CEO Demis Hassabis dropped a chilling () line: "Scientific progress is becoming compu…
At Google I/O, DeepMind CEO Demis Hassabis announced that scientific progress is becoming computable, launching the Gemini for Science system to help researchers read papers, write code, and generate hypotheses, enabling science to scale and iterate like software.
Google DeepMind dismantles Nobel-winning AlphaFold team, loses top talent in major shift toward Gemini and AI Agents. Will it remain research-first lab?
Google DeepMind has dismantled its Nobel-winning AlphaFold team, reassigning researchers to projects like Gemini and losing key talent to Anthropic, signaling a strategic shift from pure research toward frontier LLMs and AI agents.
@mark_k: Fascinating and very deep article about DeepSeek AI (@deepseek_ai). You would have never guessed what their strategy is…
An analysis of DeepSeek AI's unconventional strategy: prioritizing radical architecture innovations (MoE, MLA, engram, mHC) that drastically reduce compute and memory needs, enabling a long-term play to build a 10T Chinese AI hardware ecosystem and pursue a 1T valuation.
Google DeepMind Leadership Changes (4 minute read)
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