What would possibly tell you that?

Expensive as fuck to make chips, only makes sense if you believe whatever model you're creating a chip out of will not become completely irrelevant in 5-10 years.

There’s lots of use cases where the current models do fine though. A chip that can run a current cheap model at 100x would be amazing for things like detecting prohibited content on Facebook. You don’t need the 2030 equivalent of Fable for that, you need something that can cheaply process insane numbers of posts per day.

That’s not what we are empirically seeing though. There is also no way of knowing that things can’t be progressing for the next 5 years. No foundational model company would be spending the amount they are on research if they thought it wasn’t going to pan out

No, it makes sense if whatever model you're creating a chip out of will not be irrelevant in 5 years even if it is much much faster & cheaper.

There are probably limited applications but not zero.

Off in the sense that he shouldn’t be running the company?

It does because you can now just steamroll features out the door and make everyone look bad that’s sitting around in meetings all day

Are you aware literally everyone else also has access to AI stuff? You’re not special for using an agent. You’re part of the crowd

Depends on where you work... where I happen to work people sit in Jira meetings all day and in the time they talk about it my team implements it.

So yes "literally everyone has access to it" (what a revelation) but you still need to be smart in how you use it

You do still need to know though, different prompts have different affects on them.

It’s basically because LLMs supersede all of these. The ability to reason, research, and write code applies to everything else and will speed up the innovation cycles there significantly.

Google is losing in the race that really matters

So crazy, at one point they had 3 different systems for interacting with Gemini, all with different auth.

For a company that prides themselves on the smartest engineers, they really struggle with the basics

Mm, however the more I experience of the world, the more I find this matches the description up-thread:

> Google acting like a normal but competent company

Is it messed up and weird? Yup. Still normal though. Worse, this is matching the baseline of competence I find in so many other places.

A lot of this is having to incorporate with existing billing systems for their customers. OpenAI and Anthropic have it easier by having no previous billing setup to be compatible with.

Oh that built on a bunch of ideas that weren’t far off. It was a great discovery but like many it’s standing in tall shoulders

Quantization also started picking up around then, as well as distillation into smaller models

Love monarch, amazing primitives and feels so much lighter than Ray.

Another awesome add on their part