GoKawiil
Tech News
Meta continues to pour significant capital into artificial intelligence development and infrastructure, according to a roundup of recent tech coverage. The same coverage also touches on a budget EV's road trip performance, Demis Hassabis's AI ambitions, and a review of an iPhone accessory.
DeepMind co-founder and Nobel Prize winner Demis Hassabis discussed his long-standing goal of developing artificial general intelligence, framing it as a foundational step toward solving broader scientific and societal problems. He traced his path from a childhood chess prodigy to AI researcher to Nobel laureate, describing his career as pursuing a consistent two-stage plan centered on intelligence first.
Google DeepMind's Demis Hassabis spoke at the International AI Summit in Dublin, arguing that AI technology will help solve climate change. He also referenced Google's new Gemini 4 Argon model and distinguished AI's strong performance in math, coding and games from its more limited role in physical sciences like physics and biology, which he said require human creativity and real-world experimentation.
A critique argues that the AI industry's foundational assumption—that the human brain operates like a computer processing input, computation, and output—oversimplifies human cognition. The piece traces this model back to Alan Turing and notes that even computing pioneer John von Neumann doubted computational models could capture the full complexity of the human nervous system. The author contends that as AI products become more embedded in daily life, this flawed mental model is causing real problems.
Koray Kavukcuoglu, in his first media appearance as Google DeepMind's leader, told The Information that Gemini 4 is in its post-training refinement stage and that Google hopes to release it well before year-end. He said Google would keep up 'fast-paced iterations,' and acknowledged the company shelved a planned Gemini 3.5 Pro update to focus on faster Flash models instead.
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.