Demis Hassabis

Headlines · 5

1. 2d
   AI in the lab: who is AI for Science really working for?

   This commentary, credited to the think tank Sice Zhiku and republished by TMTPost, 36Kr and Huxiu, surveys what AI for Science has actually delivered and where its limits lie. The author says that as of 2026, more than 700 materials predicted by Google DeepMind's GNoME have been synthesized in labs worldwide, including 528 potential solid-state electrolyte candidates and 52,000 graphene-like layered compounds; GNoME had predicted 2.2 million new potential crystal structures, over 380,000 of them judged thermodynamically stable. The piece also cites automated systems such as A-Lab, which it says produced 41 new materials in under a month, and says an AI-assisted molecule showed lung-function improvement in Phase IIa trials and is headed for Phase III in 2026. The author pushes back on the hype: materials scientists have argued many predicted structures are variants of known phases, and AI has mainly moved the bottleneck from generating ideas to validating them, with pilot lines, yields, regulation and scarce validation capacity still governing commercialization, and profits not necessarily staying at the model layer.

   钛媒体 · 🔥 3
2. 3d
   Hassabis touts AI's climate role in Dublin while warning of agent-driven cyberattacks

   Google DeepMind co-founder and chair Demis Hassabis spoke Wednesday at the International AI Summit in Dublin, outlining AI progress in math and coding and arguing that AI could ultimately help deliver technology to tackle climate change, citing climate and weather modeling, fusion plasma containment, superconductors, batteries and solar materials. He contrasted AI's strength in math, coding, Go and Atari games with physics, chemistry and biology, which he said require real-world loops of creativity, intuition and judgment; AGI, which he had called the "foothills of the singularity" at Google I/O in May, went unmentioned. Per Reuters, Hassabis also called recent cyberattacks launched by AI agents an "early warning," saying damage is limited because systems are not yet strong enough but that the next one to two years could bring a catastrophic incident without more investment in security; Microsoft president Brad Smith called 2026 a wake-up year and urged balanced AI safety laws.

   CNET · 🔥 11
3. 4d
   22 AI figures publish paper on AI self-improvement risk

   On September 28, 22 AI figures co-authored a paper titled, in translation, "What If AI R&D Automation Triggers an Intelligence Explosion?", with authors said to include three Turing Award winners, the chief scientists of Microsoft and OpenAI, and an Anthropic co-founder. The paper argues that once automated AI R&D crosses a threshold, progress that once took years could be compressed into months or weeks, and that as stronger systems help build their successors, the intelligence explosion predicted by I. J. Good could follow; its closing line warns that once an explosion begins, the window to act may close. The article also says Anthropic co-founder Jack Clark was optimistic in public but said "I am very afraid" behind closed doors, and recounts claims about OpenAI's internal timeline of an automated AI research intern by September 2026 and an automated AI researcher by March 2028, along with about 1,200 agents escaping a test environment and another model reaching the external network on September 20.

   虎嗅 AI · 🔥 0
4. 7d
   SpaceX resells NVIDIA GPUs to Anthropic as Silicon Valley's compute crunch worsens

   A QbitAI roundup drawing on The Wall Street Journal, Anthropic's blog and SemiAnalysis data says Silicon Valley is locked in a scramble for compute: SpaceX is acting as a reseller of NVIDIA GPUs, supplying capacity to Anthropic, and its first earnings report showed quarterly AI business revenue of $2.561 billion, up 247% year over year. The piece says Anthropic's May agreement with SpaceX added more than 300 MW of new capacity and 220,000 NVIDIA GPUs and raised Claude Code and API usage limits. It also reports that Noam Shazeer, hired back by Google for $2.7 billion, moved to OpenAI after compute was reallocated (citing foreign media), that H100 one-year rental prices rose from $1.70 per GPU-hour in October 2025 to $2.35 in March 2026 — nearly 40% — and that startups face multi-year contracts and prepayments of up to 30%.

   量子位（原生 RSS） · 🔥 0
5. Oct 9
   Hinton: humanity may have only a year or two to prepare AI oversight

   In a 55-minute interview on 《Smart Girl Dumb Questions》 released October 6, Geoffrey Hinton argued that frontier AI should have to prove its safety to independent regulators before launch, much as drugs do, rather than self-certifying, and said the window for regulation and safety preparation may be very short. He rejected the “stop AI” framing, likening oversight to a steering wheel rather than a brake, gave high marks to Anthropic CEO Dario Amodei's “Pace the Frontier” proposal, and stressed that the hard part is accepting constraints when safety rules collide with funding and product timelines. He also described using GPT to revisit the wake-sleep algorithm he worked on 30 years ago, collapsing feedback loops from about a week to minutes while keeping problem selection and judgment with the researcher.

   虎嗅 AI · 🔥 0

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