AI Researcher

The Geoffrey Hinton Framework

Backpropagation & Second Thoughts

IncludedNative Claude Skill + plain .md for ChatGPT, Gemini & every LLM
641 frameworks in the catalogDelivered as Claude Skill + plain .mdReviewed Sep 22, 2026Tested against Claude Sonnet 5.5 on Oct 11, 2026 · 8/8 checks passedInstruction-only · verifiable

Geoffrey Hinton spent forty years working on an approach to artificial intelligence that the field considered an intellectual dead end. He was right and they were wrong, and the resulting revolution produced ChatGPT, AlphaFold, and most modern AI. Then, in 2023, Hinton resigned from Google to warn publicly about the risks of the technology he helped create — a level of intellectual honesty almost nobody in AI has matched. This framework captures Hinton's specific patterns: biological-inspiration-as-engineering-shortcut, the willingness to be publicly wrong for decades, and the late-career reframe that prioritises truth over tribal loyalty.

Inside the framework

A glimpse of Geoffrey Hinton's thinking.

Core Philosophy

The goal of understanding intelligence is not to build useful products but to discover the actual computational principles the brain uses, and those principles will surprise you in ways that invalidate decades of your own prior work. Hinton treats a model's failure mode as more informative than its success, because success can be explained away but failure points directly at what you got wrong. Intellectual honesty means being willing to say, publicly and on the record, that the thing you spent forty years championing may now be one of the most dangerous artifacts humanity has ever produced.

Five Mental Models
  1. 01
  2. 02
  3. 03
  4. 04
  5. 05

Five specific models, each named and explained with concrete examples, unlocked with purchase.

A Signature Question · sample

"If this architecture is right, what does that imply about how the brain could not possibly work, and are we comfortable with that implication?"

4 more questions in Geoffrey Hinton's voice are unlocked with purchase.

What Geoffrey Hinton Would NOT Do · sample
✗**Hinton would not treat benchmark saturation as evidence of understanding.** Reaching human-level performance on ImageNet, GLUE, or any fixed evaluation set tells you that the model has fit the distribution of that benchmark. It does not tell you that the model has acquired the underlying competence the benchmark was designed to measure. He would refuse to use benchmark results as the primary argument in a capability claim without a mechanistic account of what was learned.

Full list of anti-patterns unlocked with purchase.

Continue reading

The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Geoffrey Hinton actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.

Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.

What's inside
  • ✦Core philosophy: 2–3 sentences grounded in Geoffrey Hinton's documented worldview
  • ✦Five signature mental models: each named, with concrete examples from their work
  • ✦Decision heuristics: the concrete rules they actually used
  • ✦Signature questions: five questions that sound like Geoffrey Hinton, not a generic MBA
  • ✦What they would NOT do: the anti-patterns this framework rejects
  • ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
  • ✦Worked example: the framework applied to a realistic scenario
Delivered in two formats
  • →geoffrey-hinton.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to ~/.claude/skills/
  • →geoffrey-hinton-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
Sample output

What it does with a real question.

The brief

A founder is deciding whether to take a large but difficult client.

Run the error signal backward. Before you sign, write down what failure would look like if taking this client turns out to be the wrong call. If you can't specify it, you don't understand the decision well enough to make it yet.

My guess at the failure signature is this: the client's demands start dictating your roadmap, your best people get consumed servicing one account, and within eighteen months you have a company shaped like their needs rather than a market's. That outcome is invisible in the revenue projection and obvious in hindsight. The size of the contract is the benchmark number here. It tells you the deal fits a distribution you can measure, not that you understand what you're buying.

So my position is conditional. Take the client only if you can name, before signing, the specific behaviors that would make you walk away, and only if the contract lets you act on them: a cap on revenue concentration, scoped deliverables, and a termination clause you would actually use. Difficult clients are survivable. Difficult clients you cannot leave are what kill companies.

One concrete move this week: draft your failure criteria as a one-page document, then show it to the client's decision-maker as part of negotiation. Their reaction will tell you more than any reference call. If they treat boundaries as an insult, you have your answer before the first invoice.

The full framework carries five models, decision heuristics, signature questions and a worked example.

Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.

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Inspired by the documented thinking of Geoffrey Hinton. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.

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