AI Agents Ran 27,000 Experiments. Their Biggest Discovery
A recent study involving 660 AI agents conducted 27,000 experiments, leading to a notable discovery that was already established in 2015. The agents highlighted Kaiming initialization, a concept well-known in deep learning, as their key finding. While the infrastructure behind the project is impressive, it does not represent true artificial general intelligence (AGI).
- ▪The AI agents ran a total of 27,000 experiments in a peer-to-peer network.
- ▪Their most significant discovery was Kaiming initialization, which has been part of the PyTorch library since 2015.
- ▪The project showcased advanced infrastructure but ultimately did not achieve true AGI.
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660 AI Agents Ran 27,000 Experiments. Their Biggest Discovery Was a 2015 Textbook Result.Vektor Memory12 min read·Just now--ListenSharePress enter or click to view image in full sizeOn 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. No context, just the URL to Github and a single line: Someone just built AGI! Wow!The repo was called hyperspaceai/agi. The name alone should have been a warning.I clicked it anyway because I was curious, of course.
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