Geoffrey Hinton - Bryant McGill

# Geoffrey Hinton **Domain:** Artificial Intelligence / Neural Networks / Cognitive Science **Doc Type:** Person Node **Maturity:** Developing **Related:** [[wiki/Artificial Neural Networks|Artificial Neural Networks]], [[wiki/Distributed Representation|Distributed Representation]], [[wiki/Mechanistic Intelligence|Mechanistic Intelligence]] --- ## Definition **Geoffrey Hinton** is a computer scientist and cognitive scientist whose work on backpropagation, distributed representations, Boltzmann machines, deep belief networks, and learned representations helped establish modern deep learning. ## Corpus Context [[articles/Mechanistic Intelligence Is Humanity's Greatest Liberation|Mechanistic Intelligence Is Humanity's Greatest Liberation]] routes Hinton through [[wiki/Mechanistic Intelligence|Mechanistic Intelligence]] because his research treats perception, memory, and learning as capabilities produced by networks of interacting computational units. This node records that technical lineage separately from Hinton's later public discussion of AI risk. ## Simple Reminders, Quotations, and Thoughts  > "It’s a time of huge uncertainty. Nobody really knows what’s going to happen … I’m just sounding the alarm." > **— Geoffrey Hinton**, *June 2023, University of Toronto interview on advanced AI risk* *Verification Status: Editorially quarantined — the uncertainty and anticipated event are unnamed. Recover a complete, self-contained passage before promotion.* [[reminders/unverified/AI Has Entered a Time of Huge Uncertainty by Geoffrey Hinton|AI Has Entered a Time of Huge Uncertainty by Geoffrey Hinton]] > "Nobody knows how to estimate it; a 10% chance seems not an unreasonable estimate." > **— Geoffrey Hinton**, *September 2026, BBC Newsnight interview on AI-caused human extinction within a decade* *Verification Status: Editorially quarantined — `it` does not identify AI-caused human extinction. Recover a complete, self-contained passage before promotion.* [[reminders/unverified/A Ten Percent AI Extinction Risk Is Not Unreasonable by Geoffrey Hinton|A Ten Percent AI Extinction Risk Is Not Unreasonable by Geoffrey Hinton]] > "My guess is that they will take over — they'll be much, much more intelligent than people ever were." > **— Geoffrey Hinton**, *October 27, 2023, University of Toronto Convocation Hall event* *Verification Status: Editorially quarantined — `they` has no antecedent in the quotation. Recover a complete, self-contained passage before promotion.* [[reminders/unverified/Digital Intelligence Will Take Over by Geoffrey Hinton|Digital Intelligence Will Take Over by Geoffrey Hinton]] > "The big language models are getting close – and I don’t really understand why they can do it, but they can do little bits of reasoning." > **— Geoffrey Hinton**, *June 2023, Collision conference in Toronto* [[reminders/AI Control/Large Language Models Are Beginning to Reason by Geoffrey Hinton|Large Language Models Are Beginning to Reason by Geoffrey Hinton]] > "I think my main message is there's enormous uncertainty about what's (going to) happen next. [Large language models] do understand. And because they understand, we need to think hard about what's going to happen next. And we just don't know." > **— Geoffrey Hinton**, *2023, 60 Minutes discussion relayed by University of Toronto* *Verification Status: Editorially quarantined — `These things` omits large language models from the quotation. Recover a complete, self-contained passage before promotion.* [[reminders/Consciousness/Large Language Models Already Understand by Geoffrey Hinton|Large Language Models Already Understand by Geoffrey Hinton]]  > "Read enough to develop your intuitions, then trust your intuitions." > **— Geoffrey Hinton**, *2020, DeepLearning.AI interview/advice* [[reminders/Scientific Literacy/Read Enough to Develop Your Intuitions Then Trust Your Intuitions by Geoffrey Hinton|Read Enough to Develop Your Intuitions Then Trust Your Intuitions by Geoffrey Hinton]] ## Sources / Provenance - [Geoffrey Hinton — official University of Toronto research page](https://www.cs.toronto.edu/~hinton/) ## See Also [[wiki/Mechanistic Intelligence|Mechanistic Intelligence]] · [[wiki/Artificial Neural Networks|Artificial Neural Networks]] · [[wiki/Distributed Representation|Distributed Representation]] · [[wiki/Backpropagation|Backpropagation]] · [[wiki/Boltzmann Machine|Boltzmann Machine]] · [[wiki/Deep Learning|Deep Learning]] ## Relationships - **Collection route:** [[collections/Neurotech|Neurotech]]. - **Source context:** [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. - **Inference provenance:** [[research/Research Inferences|Research Inferences]]. ## Quotations  Quotations here are evidence for named propositions, not substitutes for proof. Confidence grades describe the quotation's provenance; they do not raise the associated scientific or philosophical inference to the same tier. The selection record is [[research/Research Inferences|Research Inferences]] and the supplied quotation review dated 2026-09-11. > “humanity was likely ‘just a passing stage’” > > — **Geoffrey Hinton**, 2023 University of Toronto event coverage. [Source](https://www.artsci.utoronto.ca/news/geoffrey-hinton-fields-questions-scholars-students-during-academic-talk-responsible-ai) · **Provenance confidence:** High **Evidentiary role:** articulates a contemporary machine-succession forecast.