history doesn't repeat but it definitely rhymes

part of the value add of owning both the model and the tooling

Jetbrains is trying but I feel like they're very very behind in the space

Looking at you Deepmind and OpenAI

Google sponsors the python foundation as per this page: https://www.python.org/psf/sponsors/

Kinda crazy that the top level "Visionary Sponsor" is a donation level of $160k. There's also 0 sponsors at the $100k level. I was also surprised to see Netflix at $5k and Jane Street at $17k. Maybe they should give more but there's a lot of names absent and that says more

written by a company whose product is basically selling expert advice via training data review

> Raw intelligence meets battle-tested experience

>A global community of the smartest people in every field who've shipped products, won cases, published breakthroughs, and made decisions under pressure.

For them the price of the 125 GBP tab is nothing compared to 6-7 figure investment they're about to make based on your advice.

Reminder that it's in the lecun's interests to talk up AMI and to explain why they're going to win when they didn't do so at FAIR.

Yann joins Ilya, Karpathy, Sutton + Carmack when he says LLMs are a dead end, though.

Karpathy is probably the most careful not to write off LLMs entirely but he seems pretty skeptical.

a lot of the third party tools follow the time honored tradition of duplicating an internal service at a leading engineering org (FAANG) and then making it available as a SAAS product

you can reinvent scale api and get yc funding before selling out to ine of the faangs

Honestly wouldn't mind more competition in this sector. This one doesn't seem optional for the rest of us in the future and I don't like the idea of Scale AI being in charge.

They don't but you effectively do it under the table

Do they sell at full value?

Whatever they sell them for is the value.

How do you define value without an IPO?