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. When MMF Unlocks, Markets Explode (legal, coding...)
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’re dead.
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 traditional websites.
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 demoted."
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 we’re working with, and why the examples come from real production use cases).
It stands out because the flow and tone was clearly AI generated. It’s fluff, and I don’t trust it was written by a human who wasn’t hallucinating the non-company related talking points.
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 guarantee)
I don't see how it can trend to zero when none of the vendors are profitable. Uber and doordash et. al. increased in price over time. The era of "free" LLM usage can't be permanent
Oh, it's going to be "free" alright, in the same way that most web services are today. I.e., you will pay for it with your data and attention.
The only difference is that the advertising will be much more insidious and manipulative, the data collection far easier since people are already willingly giving it up, and the business much more profitable.
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 management (compacting conversations and highlighting findings).
"LLM costs are trending toward zero". They will never be zero for the cutting edge. One could argue that costs are zero now via local models but enterprises will always want the cutting edge which is likely to come with a cost
