Google DeepMind has created the DeepMind Institute, led by managing editor Shane Legg alongside directors Demis Hassabis and James Manyika, to host differing perspectives on artificial general intelligence from within Google and the wider research community. Its first release includes four essays addressing economic disruption from AGI, keeping AI reasoning interpretable, principles for human flourishing, and how to evaluate frontier models. Notably, Hassabis proposes a U.S.-based standards body to assess advanced AI systems, starting with voluntary reviews before release.
White House officials had drafted a preliminary framework for a FINRA-style body to oversee frontier AI models after Google DeepMind's Demis Hassabis proposed the idea in July. The plan collapsed after executives including David Sacks and Mark Zuckerberg lobbied Trump directly against it, leaving the proposal in limbo with no replacement under active consideration. Meanwhile Congress remains split among competing AI bills that lack sufficient votes to pass.
Sam Altman, Dario Amodei, Demis Hassabis, Satya Nadella, and Elon Musk recently joined together in urging that AI development be slowed and regulated before humans lose control. Commentary notes this isn't new: thinkers from Samuel Butler in the 1800s to Alan Turing in 1951 and Bill Joy in 2000 have similarly warned about machines outpacing and endangering humanity.
Google DeepMind's Demis Hassabis proposed training a large language model only on scientific knowledge available before 1911 to see if it could independently derive general relativity, calling it a meaningful test for artificial general intelligence. Several research teams, including one led by Ido Kaminer at Technion, have since built such 'vintage' AI models restricted to historical data, but early results have exposed shortcomings in current systems rather than demonstrating breakthrough reasoning.
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