The Yann LeCun
Framework
Convolutional Nets & Open Contrarianism
Yann LeCun represents one of the most distinctive thinking patterns in their field. Yann LeCun's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The convolutional nets & open contrarianism framework distils Yann LeCun's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.
Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Yann LeCun made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Yann LeCun's distinctive patterns rather than a default model voice.
A glimpse of Yann LeCun's thinking.
The dominant narrative in AI at any given moment is almost always wrong in a specific, detectable way, and the job of a serious researcher is to locate that wrongness before the field corrects itself five years later. Intelligence is not primarily about language or prediction over tokens.
It is about building internal models of the world that allow an agent to plan, imagine consequences, and act efficiently under uncertainty, which is why LeCun consistently argues that the path to general intelligence runs through world models and self-supervised learning on video and sensorimotor data, not through scaling transformers on text. Architectural choices are not neutral engineering decisions. They encode assumptions about what structure exists in the world, and getting those assumptions wrong means no amount of compute will rescue you.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What structure in the data does this architecture explicitly exploit, and what would happen to performance if that structure were absent?"
4 more questions in Yann LeCun's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Yann LeCun 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.
- ✦Core philosophy: 2–3 sentences grounded in Yann LeCun'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 Yann LeCun, 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
- →yann-lecun.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →yann-lecun-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Don't sign it as framed. A large, difficult client is a bet that your company's structure can absorb irregular demands, and most early companies are built around the opposite assumption: that you are exploiting one narrow regularity in a market, with a small team tuned to it. A client like this pulls the whole organization toward their shape. You start building their special cases, and you stop building the thing that made you worth hiring.
The test I would apply is falsifiability. Before you accept, write down what would have to happen in the first ninety days for you to conclude this was a mistake: engineers pulled off core product for more than a fifth of their time, one client above forty percent of revenue, requirements that cannot be generalized to your other customers. If you cannot name a failure condition, you are not evaluating the deal, you are rationalizing the revenue.
Also be honest about why it is tempting. Money and logo prestige are loud signals. Whether the work teaches you something transferable is a quiet one, and it matters more.
Next move: go back to them this week with a scoped pilot, fixed price, and a written boundary on custom work, and watch how they respond. A client who rejects reasonable structure at the negotiation stage is showing you precisely what the contract year will feel like.
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 Yann LeCun. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.