[Havoc]

Sounds like someone that got lucky in big picture (in ML during Alexnet era), but then unlucky in picking the sub-genre.

>I see hundreds of billions of dollars being spent on hardware

>I don’t see are people waving large checks at ML infrastructure engineers like me

Which seemed like a valid question mark until you look at the github. <1B Raspberry pi class edge speech models. That's not the game the hyperscalers are playing

I don't think we can conclude much of anything about the datacenter build out from that

[littlecranky67]

> That's not the game the hyperscalers are playing

The hyperscalers are playing the game hyperscalers are playing - and only them. Where do they expect to find talent then? If the logic is, you need to work at a hyperscaler to work at a hyperscaler, no wonder they won't find any talent. That would be like NASA only hiring astronauts to send to space if they had already experience being in space.

[jsnell]

That's not the logic, they obviously hire from outside. The author's complaint is not that he can't get hired. He doesn't want to get hired, even! The complaint is rather that investors aren't funding his startup.