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Information → chunks → vectors → dot product → match relevance Here is what each step means: InformationRaw material: text, images, audio, tables, code, anything. ChunksThe information is broken into manageable pieces.For text, that might be paragraphs, sections, or sliding windows of sentences. VectorsEach chunk is converted into a numerical representation called an embedding.That vector…

Frank said: So this paper is basically saying the big AI bottleneck is no longer just training. The real crisis now is inference — actually running large language models in the real world, at scale, fast enough and cheaply enough to be useful. GPT said: Exactly. The authors are arguing that LLM inference has become…

Executive overview LFYadda is not a conventional blog with unrelated entries. It reads as a long-form intellectual project organized around one central intuition: life, mind, and intelligence are best understood as systems that locally resist or redirect entropy by exploiting structure, gradients, and information. The homepage says this almost explicitly, describing DNA as an instruction…

Frank said:I think we finally said it cleanly. The phone model is the executive, not the warehouse. GPT said:Yes. That sentence cuts through a lot of fog. Because for years the implicit dream of AI has been warehouse-thinking. Build a model so large, train it on so much text, compress so much of civilization into…

Frank said:This paper Challenges and Research Directions for Large Language Model Inference Hardware” by Xiaoyu Ma and David Patterson on arXiv as arXiv:2601.05047 feels like a confirmation of what we’ve been circling around for weeks. Everybody has been hypnotized by training clusters, giant GPU farms, trillion-dollar capex, and the mythology of bigger model training runs.…

Frank said:Google did not just buy a cybersecurity company. It bought a position inside the nervous system of modern enterprise computing. That is what makes this deal feel so strange to me. On paper, it is simple enough: Google acquires Wiz for an enormous sum of cash, the biggest acquisition in its history, and says…