Can You Build an Alternative to LLMs? 8 Months, ~200 Failed Experiments, One Wall. 2
Article summary
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This is part 2 of a research series documenting an attempt to build something adjacent to — and in some ways alternative to — large language models. Part 1: "My Synthetic Eval Said 30/30. LoCoMo Said 0.13." The code that survived lives in AuraSDK . Not a chatbot wrapper. Not another prompt stack. Not a vector database with a nicer UI. The question was narrower and more dangerous: Can a non-neural, CPU-only system accumulate experience, mutate its own internal state, and improve future behavior…
1Key Takeaways
- This is part 2 of a research series documenting an attempt to build something adjacent to — and in some ways alternative to — large language models.
- Part 1: "My Synthetic Eval Said 30/30.
- LoCoMo Said 0.13." The code that survived lives in AuraSDK .
- Not a vector database with a nicer UI.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that this is part 2 of a research series documenting an attempt to build something adjacent to — and in some ways alternative to — large language models.
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