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SOURCE: https://www.lennysnewsletter.com/p/how-to-turn-your-ai-into-a-world AI models are capable of amazing creativity, but that creativity gets stifled by how they’re trained. Large language models are next-token predictors: at each step, they look at a sequence of text and predict what comes next based on millions of examples. The results may be rated by humans, and those ratings fed … Read more
query — is there an additional kind of memory that could be added to be highly impactful at increasing speed and reducing llm hits? Related to “Known project map + command index + current operational facts.” Why it would help A lot of LLM/tool time is spent repeatedly answering: “Here is the known project map. … Read more
Multi-Memory Harness Technique for AI LLM CLI (codex, opencode, pi, etc) PRIMARY CLAIM — Memory retrieval reduced repeated context reconstruction and likely reduced downstream LLM reasoning/search work. Two Kinds of Mem 2 kinds of ‘long-term memory’, 2 strengths, 2 uses/reasons 1 Postgres PGVECTOR 2 WIKI How the memories are best used › posit: pgv stores … Read more