Viewing profile — nbstme

Product-market fit has a prerequisite that most AI founders ignore. Before the market can pull your product, the model must be capable of doing the job. That's Model-Market Fit. Wh…

The best AI code is the code you delete. Models are eating abstractions faster than teams can adapt. Each model introduces a new paradigm shift. If you miss a paradigm shift, you’r…

After 30 years of clicking, scrolling, and optimizing pixels, websites are becoming obsolete. LLM agents will read and act for us, ending search engines, blue links, and traditiona…

Exactly. Just a markdown file per user. Anthropic recommends that.

HAHAHA. Ok let's call it "transformation." As i wrote "The next decade of AI search will belong to systems that read and reason end-to-end. Retrieval isn’t dead—it’s just been demo…

Thanks! Sorry if the flow was off

haha so true!

Why call it an ad? It’s not even on the company site. I only mentioned my company upfront so people get context (why we had to build a complex RAG pipeline, what kinds of documents…

But don’t you think LLM pricing is heading toward zero? It seems to halve every six months. And on privacy, you can hope model providers won’t train on your data, (but there’s no g…

Why does grep in a loop fall apart? It’s expensive, sure, but LLM costs are trending toward zero. With Sonnet 4.5, we’ve seen models get better at parallelization and memory manage…

LLMs > rerankers. Yes! I don't like rerankers. They are slow, the context window is small (4096 tokens), it's expensive... It's better when the LLM reads the whole file versus some…

Appreciate the feedback. I’m not saying grep replaces RAG. The shift is that bigger context windows let LLMs just read whole files, so you don’t need the whole chunk/embed pipeline…

Yes my point is that the entire RAG pipeline like ingest, chunk, embed, search with Elastic, rerank is in decline. Grep is far simpler. It’s trivial.