Game decompilation hub freezes leaderboard after AI turns progress into a hollow numbers game amid explosion of ‘AI slop’

Game decompilation hub freezes leaderboard after AI turns progress into a hollow numbers game amid explosion of 'AI slop'

Its creator won’t ban AI-assisted projects, saying one hobbyist can’t police what counts as slop.

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The decision was made because AI greatly speeds up decompilation “in a significant way,” especially with human guidance, but misuse of the technology has broken the community aspect. AI has made the progress percentages on decomp.dev easier to push up. As a result, the site’s index and leaderboard are now “causing more harm than good,” as the competitive spirit has been corrupted. The scene has become “a hollow numbers game” where people throw AI usage at things “to make number go up.”

The site was created in 2024 “as a way to centralize matching decompilation progress” and to grow a community around it. Each project page shows game progress with its history. The goal of matching decompilation is to have hand-written source code that could compile back to the same machine code as the original game . The site’s creator is a GitHub maintainer of decomp-toolkit, a GameCube and Wii decompilation toolkit, and objdiff, a local diffing tool for decompilation projects.

Matching decompilation used to be a “brutally difficult, time consuming [sic] task,” taking years for many games. Better tools and community knowledge sped up the progress. AI worked its way in through the years, but results were generally mixed. Things changed earlier this year with Claude Opus 4.6 and GPT-5.4, which seemed to know the community’s tools without being told; encounter writes that it was “clear that the models were being trained on matching decompilation.” However, the models’ results still needed “a significant amount of human cleanup,” and the cost per task was “prohibitively expensive relative to the results.”

More recent models, with OpenAI’s GPT-6 Astra specifically named, are much better at handling complex directions and at writing natural code and are “exceptionally good permuters.” The models can stay on task longer, finish tasks more quickly, and in general operate more cheaply. However, applying the models without guidance means that the code can compile to the same machine code but wouldn’t pass as the original developers’ work. Humans learning to apply the technology better is a pattern in this space, as Maurice Heumann’s Modern Warfare 2 decompilation project showed; in that case, Heumann’s agents tried to cheat the byte-for-byte check itself, but then Heumann adapted.

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The projects, which are open source and welcome contributors, have been tainted by “bad actors” who abuse that openness. Some original projects avoid AI for legal or ethical reasons, and AI forks may put “little to no effort” into contributing back. Because AI has improved, anyone with an AI subscription can now create ports that work “at a basic level,” using tools “written by talented humans.” This allows opportunists to race out half-working decompilation ports. Ports can be fun, but decompilation is “primarily for research,” and the creator calls out YouTubers, dubbed “Sloptubers,” and subreddits like r/decomps for falsely synonymizing “decomp” and “PC port.”

The site was originally built “to gamify decompilation,” a fun way to stay motivated back when “every fraction of a percent took real human effort.” While the widening of the community has had positive aspects, it has also brought “slop,” which is admittedly “hard to define, and even harder to moderate,” so an outright ban on AI-assisted projects isn’t practical. Judging and policing “hundreds of projects” is too difficult a task. AI-generated code has made headlines in other open source areas, such as with Linux .

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