Go to India or China and look at the average persons buying power, then go to Texas or California. Singapore and Switzerland are in a comparable income bracket, but have a combined population of <15M.

> Generating hypotheses is the fun, exciting part that I doubt scientists want to outsource to AI

The latter doesn’t imply the former

I guess "AI is coming for the supervision of scientific research" doesn't have the same kick to it as the submissions title. Leadership is about people, not about tasks. But somehow I'm not surprised that this went over the head of "the register".

I don’t plan to stay in software for the rest of my life. Currently, my company develops knowledge engineering solutions, but in 5-10 years, I’d like to get some fresh air.

10 genius clones would still take on various roles/positions in the system, requiring some optimization with respect to alignment under time/energy constraints.

/edit: apparently I stand corrected.

The eu regulations no longer apply to food companies operating in the UK, as the UK no longer is in eu-jurisdiction.

The uk govt would have to re-implement them one by one, which a) would be a considerable effort and b) defeats the point of brexit, and thus likely come at political costs.

/edit: thanks for the responses, TIL.

Instead of performing rag on the (vectorised) raw source texts, we create representations of elements/"context clusters" contained within the source, which are then vectorised and ranked. That's all I can disclose, hope that helps.

You'd be surprised how many companies that maintained <20 vms migrated to k8s. The motivations include ordering a chaotic status quo, premature optimisation, young blood wanting to prove themselves, boredom, "its new so it must be better", "i want to try this" [...], you get the idea.