zlacker

>>tedsan+(OP)
Any clues to how they plan to invest $500 billion dollars? What infrastructure are they planning that will cost that much?

>>non-+Q1
Reasonably speaking, there is no way they can know how they plan to invest $500 billion dollars. The current generation of large language models basically use all human text thats ever been created for the parameters... not really sure where you go after than using the same tech.

>>jppope+C7
That's not really true - the current generation, as in "of the last three months", uses reinforcement learning to synthesize new training data for themselves: https://huggingface.co/deepseek-ai/DeepSeek-R1-Zero

>>Philpa+X8
Right but that's kind of the point: there's no way forward which could benefit from "moar data". In fact it's weird we need so much data now - i.e. my son in learning to talk hardly needs to have read the complete works of Shakespeare.

If it's possible to produce intelligence from just ingesting text, then current tech companies have all the data they need from their initial scrapes of the internet. They don't need more. That's different to keeping models up to date on current affairs.

>>XorNot+ed
O3 high compute requires 1000s of dollars to solve one medium complexity problem like ARC.

>>YetAno+bW
Light bulbs used to be expensive too, nails as well.