The biggest advance in AI since the LLM
Tucked away at its center is a 3,167 line kernel called print.ts.print.ts is a pattern matching. And pattern matching is supposed to be the *strength* of LLMs. But Anthropic figured out that if you really need to get your patterns right, you can’t trust a pure LLM.
- ▪Tucked away at its center is a 3,167 line kernel called print.ts.print.ts is a pattern matching.
- ▪And pattern matching is supposed to be the *strength* of LLMs.
- ▪But Anthropic figured out that if you really need to get your patterns right, you can’t trust a pure LLM.
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| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://garymarcus.substack.com/p/the-biggest-advance-in-ai-since-the |
| Publication time | Tue, 06 Oct 2026 19:20:26 +0000 |
| Retrieval time | 2026-10-06T20:27:26.867Z |
| Last seen | 2026-10-06T20:27:26.867Z |
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| Cluster | Cmaqs-NABYSc · 1 stories |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
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| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
The biggest advance in AI since the LLMWhy Claude Code changes everythingGary MarcusApr 11, 202649318568ShareEven Grok knows that neurosymbolic hybrid power is the futureClaude Code, an impressive and possibly game-changing “coding agent” for programmers to write code faster is the single biggest advance in AI since the LLM.And the thing is, Claude Code is NOT a pure LLM. And it’s not pure deep learning. Not even close. That changes everything. The source code leak proves it. Tucked away at its center is a 3,167 line kernel called print.ts.print.ts is a pattern matching. And pattern matching is supposed to be the *strength* of LLMs. But Anthropic figured out that if you really need to get your patterns right, you can’t trust a pure LLM. They are too probabilistic.
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