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Snapcompact: SoTA compaction - instant, local, free. Pick 3
Render the context window into dense pixel-font bitmaps and hand it back as images: near-verbatim recall at a third of the input price, benchmarked on four frontier models and probed layer-by-layer on Qwen2.5-VL.
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We improved 15 LLMs at coding in one afternoon. Only the harness changed.
Sixteen models, three edit tools, one variable: hashline, an edit format built on content-hash line anchors, beats patch for 14/16 models - and the weakest models gain the most.
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Reverse Engineering Hyperliquid ft. SetYesterdayUserVlm
What happens when you take IDA Pro to a $30B "decentralized" exchange?Hyperliquid markets itself as a "fully on-chain order book perpetual …
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Speculating the entire x86-64 Instruction Set In Seconds with This One Weird Trick
As cheesy as the title sounds, I promise it cannot beat the cheesiness of the technique I'll be telling you about in this post. The morning I saw Mark …
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Arbitrary Code Execution at Ring 0 using CVE-2018-8897
Just a few days ago, a new vulnerability allowing an unprivileged user to run #DB handler with user-mode GSBASE was found by Nick Peterson (@nickeverdox) and …
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