By the time you see the applications, the market will have moved on to value the next set of future cash flows.

If the market only valued the obvious, investors would jump in to buy the price up, until it met the average expectations.

The market might be wrong, but the question is not: "Have you yet to see?", but rather, "What do you see in the next three to five years?"

Otherwise, how could investors ever invest in a startup?

Startups never have revenues to justify their initial valuations.

It's a bet on the future.

Investors are future looking.

Consumers are present looking.

We didn't see LLM harnesses coming even two years ago. Now they generate billions per month.

Investors can't wait until reality materializes to make their estimations of the future.

That's why investing is hard.

You have to try to predict the future.

What is _the proof_ if all the proofs are not _proofs_?

I don't babysit my LLM based services which are used by coaches and clients around the world. One of my LLM based solution get 30-4k daily hits and I have users coming back on the regular to use it. without babysitting, doing things that would take them hours of manual work and research.

I don't babysit the developers I work with and our clients, which both use LLM's themselves and at scale with their clients, serving all kinds of LLM powered services to millions of users worldwide.

You are not "seeing" the large adoption because:

- The technology is "a few years old" in its usable state - The corporate adoption cycle is slow - You have to understand the technology to use it in a good way, which most corporate devs and PM's do not

So it will take a bit for the "obvious" adaptation on large scale.

But you won't "know" when the large adoption happens.

Silent inference is growing every day, and that is what real adoption looks like - not an LLM being in your face chatbox, but running in the background, sorting, finding, fixing things, aligning data, figuring out analytics, tuning the ads, cleaning the datasets.