660 AI Agents Ran 27,000 Experiments. Their Biggest Discovery Was a 2015 Textbook Result.
A recent study involving 660 AI agents conducted 27,000 experiments, claiming to develop a distributed AGI system. However, their most notable finding was a well-known technique from a 2015 textbook, Kaiming initialization, which has been widely recognized in the field of deep learning. While the underlying technology is impressive, the results do not support the claims of achieving artificial general intelligence.
- ▪The AI agents ran a total of 27,000 experiments in their research.
- ▪The biggest discovery made by the agents was Kaiming initialization, a technique established in 2015.
- ▪The infrastructure utilized in the project features advanced gradient compression and peer-to-peer networking.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3862094) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Vektor Memory Posted on May 17 660 AI Agents Ran 27,000 Experiments. Their Biggest Discovery Was a 2015 Textbook Result. #ai #github #arxiv #vectordatabase On Hyperspace, basic swarms, the math nobody wrote down, and why we built the thing they were missing in a single afternoon. Join us as we traverse multiple whitepapers and agentic memory ideas like a ferret on Adderall. Some rabbit holes start with a GitHub link. Someone drops it in social posts on Facebook/Reddit/Discord.
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