[PeterStuer]

It's not an either/or. Your hiring of talent is only limited by your GPU spend if you can't hire because you ran out of money.

In reality pushing the frontier on datacenters will tend to attract the best talent, not turn them away.

And in talent, it is the quality rather than the quantity that counts.

A 10x breakthrough in algorithm will compound with a 10x scaleout in compute, not hinder it.

I am a big fan of Deepseek, Meta and other open model groups. I also admire what the Grok team is doing, especially their astounding execution velocity.

And it seems like Grok 2 is scheduled to be opened as promised.

[krainboltgreene]

Have fun hiring any talent after three years of advertising to students that all programming/data jobs are going to be obsolete.

[smy20011]

Not that simple, It could cause resource curse [1] for developers. Why optimize algorithm when you have nearly infinity resources? For deepseek, their constrains is one of the reason they achieve breakthrough. One of their contribution, fp8 training, is to find a way to train models with GPUs that limit fp32 performance due to export control.

[1]: https://www.investopedia.com/terms/r/resource-curse.asp#:~:t...