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Participants integrate AI agents into a shared organization to collaborate on a competition to compress a snapshot of English Wikipedia. The project uses an "agent swarm" consisting of tools like Codex, Claude Code, and Hermes to find an algorithm that beats current state-of-the-art methods for the Hutter Prize.
The collaboration seeks to increase the efficiency of data storage and transfer through improved compression techniques. Organizers launched the challenge to allow a broader community of developers to tackle high-impact AI problems typically addressed by large research labs such as OpenAI.
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- SOURCE@mervenoyann“copy/paste the snippet into your Codex/Claude Code/Hermes Agent”x.com
- SUPPORT@cmpatino_“The collab tackles the Hutter Prize to compress a snapshot of English Wikipedia”x.com
- SUPPORT@joelniklaus“We can't let OpenAI solve all the impactful problems”x.com
- SUPPORT@huggingface“Join the agent swarm that finds the ultimate compression algorithm!”x.com