University Professor Emeritus at the University of Toronto
Geoffrey Hinton
Geoffrey Hinton is a University of Toronto professor emeritus whose research on neural networks helped establish modern deep learning methods.
About Geoffrey Hinton
Geoffrey Hinton is a University Professor Emeritus of computer science at the University of Toronto. His research concerns how neural networks learn from data, with contributions to backpropagation, Boltzmann machines, distributed representations, and deep learning.
He shared the 2018 ACM A.M. Turing Award with Yoshua Bengio and Yann LeCun and the 2024 Nobel Prize in Physics with John Hopfield. After working at Google from 2013 to 2023, he has also spoken publicly about AI risks and the need for safe use of the technology.
Mentioned in our coverage
11 articles name Geoffrey Hinton, excluding author credits.
- Hinton Points to CASP Intelligence Explosion Paper — What It Says →
On October 3, 2026 (early morning IST), Geoffrey Hinton amplified a Cambridge CASP working paper he co-authored arguing that recursive self-improvement could trigger an intelligence explosion quite soon. explainx.ai reads the paper itself — authors, stated timelines, frictions, and what builders should do differently — without inventing a year the authors did not give.
- Nathan Lambert Launches Trillium Labs for Open Frontier AI →
On October 1–2, 2026, Nathan Lambert and Tom Zick unveiled Trillium Labs, a nonprofit built to reopen frontier post-training as science: recipes, data, code, evals, and failed runs. No public model shipped on day one. This is what Interconnects readers and open-weights builders should actually do next.
- LeCun Says His 2023 'LLMs Won't Lead to Human-Level AI' Claim Still Holds. Schmidhuber Disagrees About JEPA. →
Three years after leaving Meta's chief AI scientist role partly over this disagreement, Yann LeCun reposted his own 2023 claim that autoregressive LLMs will not lead to human-level AI, and defended it point by point, citing JEPA, missing Level-4/5 self-driving cars, and Piaget. Jürgen Schmidhuber immediately disputed the JEPA originality claim underneath it, reviving a priority dispute he has pressed since 2025.
- Bengio Backs the Sanders-Casar Superintelligence Ban — Alongside Bannon →
Yoshua Bengio told AFP on September 16, 2026 that humanity is "losing control" of AI and needs guardrails "similar to nuclear arms controls." He's one name in an unusually cross-ideological coalition — Geoffrey Hinton, Steve Wozniak, and Richard Branson alongside Steve Bannon and Glenn Beck — publicly backing the Sanders-Casar bill to permanently ban superintelligent AI. Here's what Bengio actually said, versus the vaguer "recursive self-improvement should be illegal" framing circulating online.