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Model can accept 1M tokens doesn't mean it can reason across those 1M tokens

A Prime Intellect engineer revealed that GPT-5.5's retrieval accuracy drops from 80% at 256k tokens to 36% at 1 million tokens, a phenomenon called 'context rot,' and argued that bigger context windows are not a solution for AI agents. Andrew Ng released a free course on Claude Code, covering its agentic architecture and codebase interaction, in collaboration with Anthropic.

read1 min views1 publishedJul 11, 2026
Model can accept 1M tokens doesn't mean it can reason across those 1M tokens
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Prime Intellect engineer: "everyone's bragging about a million-token context. here's what they don't tell you. at 256k tokens GPT-5.5 scores 80% on retrieval. push it to a million and it drops to 36%. the model accepts the context, it just can't reason across it. people call it context rot." in a 20-minute talk he explains why bigger context windows won't save your agents. continual learning + training on your own traces + real environments - that's the fix. Watch the talk, then save!

Andrew Ng just dropped a free course on Claude Code from scratch, taught with the Anthropic team:

00:00 - why Claude Code is so agentic
04:00 - shockingly simple architecture
12:00 - point it at any codebase

this short watch will replace 10 paid coding agent courses. Andrew Ng

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