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The Long Tail of LLM-Assisted Decompilation

blog.chrislewis.au

After rapid advances thanks to one-shot decompilation, progress on the Snowboard Kids 2 decompilation began to falter. This post explores the workflow evolution, tooling improvements, and fundamental LLM limits that emerged when tackling the long tail of increasingly difficult functions.

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on llms (Ⅳ) · kivikakk.ee
kivikakk.ee

I’ve been thinking about LLMs a lot lately. Haven’t we all. Here’s my reading from the last few years: (skip) 2016 (easter egg!) Google says machine learning is the future. So I tried it myself 2023 Bite-size thoughts about AI Bing chat is the AI fire alarm Unpacking AI: “an exponential disruption” with Kate Crawford: podcast and transcript Losing the imitation game The LLMentalist Effect: how chat-based Large Language Models replicate the mechanisms of a psychic’s con Language Is a Poor H

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