deepmind

DeepMind Drops ASI Report: AI Can Offset R&D Slowdown, But Physical Latency is the Ultimate Brake on Superintelligence

Google's DeepMind latest research report highlights that the leap from AGI to ASI involves continuous breakthroughs across multiple scientific domains. Digital agents can be infinitely replicated, potentially boosting research resources by 20x, offsetting the decline in research productivity. However, the core limitation on scientific discovery lies in the abstract barriers—agents must interact with the real physical world to overcome embodied bottlenecks, and the validation process is hampered by physical latency.

Why It Matters: This systematically defines the technical path for superintelligence for the first time—assetization, scaling up, self-improvement, and multi-agent collaboration are four key directions that hold significant implications for AI investment strategies.

#DeepMind #ASI #AGI #AIResearch

DeepMind CEO Hassabis: AI race has hit a prisoner’s dilemma, labs slowing down for safety will get wrecked

Google DeepMind CEO Hassabis warned during a Stanford talk that the AI sector is caught in a brutal survival battle, compounded by the US-China geopolitical rivalry. Labs that intentionally slow down for safety reviews risk getting wiped out from the market. He also stressed that we must never cross the 'second Rubicon of consciousness'.

Why it’s important: This is the most candid top-level warning from the AI industry to date—when business competition and geopolitical pressures force AI companies to ditch safety reviews, humanity faces unprecedented risks of tech going rogue.

#DeepMind #AI #人工智能 #大模型 #safety