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AI Research
MemMachine: Why Storing Raw Conversations Beats Extracting Them
A new agent memory paper from April 2026 argues that the dominant pattern — extract facts with an LLM, store the facts — bleeds truth and tokens. MemMachine stores the raw episodes instead, hits 0.9169 on LoCoMo, and spends ~78% fewer input tokens than Mem0.
AI Research
Karpathy's Autoresearch: The Experiment Loop That Ran 700 Tests in 2 Days
Andrej Karpathy's autoresearch framework lets AI agents run hundreds of ML experiments overnight on a single GPU. Here's how the loop works, the results, and why it matters.