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

annjose1 pts0 comments

Carnage on X: "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 https://t.co/Yb5AkIFaX9" / X<br>Post

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Carnage

@0xCarnagee

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!

00:00

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@0xCarnagee

Jul 10

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<br>04:00 - shockingly simple architecture<br>12:00 - point it at any codebase

this short watch will replace 10 paid coding agent courses.

Andrew Ng Show more

00:00

span:not(:empty)~span:not(:empty)]:before:content-['·'] [&>span:not(:empty)~span:not(:empty)]:before:px-1 [&>span:not(:empty)~span:not(:empty)]:before:shrink-0">4:41 PM · Jul 11, 2026133KViews

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