zlacker

>>tedsan+(OP)
I'm confused and a bit disturbed; honestly having a very difficult time internalizing and processing this information. This announcement is making me wonder if I'm poorly calibrated on the current progress of AI development and the potential path forward. Is the key idea here that current AI development has figured out enough to brute force a path towards AGI? Or I guess the alternative is that they expect to figure it out in the next 4 years...

I don't know how to make sense of this level of investment. I feel that I lack the proper conceptual framework to make sense of the purchasing power of half a trillion USD in this context.

>>TheAce+9g
"There are maybe a few hundred people in the world who viscerally understand what's coming. Most are at DeepMind / OpenAI / Anthropic / X but some are on the outside. You have to be able to forecast the aggregate effect of rapid algorithmic improvement, aggressive investment in building RL environments for iterative self-improvement, and many tens of billions already committed to building data centers. Either we're all wrong, or everything is about to change." - Vedant Misra, Deepmind Researcher.

Maybe your calibration isn't poor. Maybe they really are all wrong but there's a tendency here to these these people behind the scenes are all charlatans, fueling hype without equal substance hoping to make a quick buck before it all comes crashing down, but i don't think that's true at all. I think these people really genuinely believe they're going to get there. And if you genuinely think that, them this kind of investment isn't so crazy.

>>famous+Qv
The problem is, they are hugely incentivised to hype to raise funding. It’s not whether they are “wrong”, it’s whether they are being realistic.

The argument presented in the quote there is: “everyone in AI foundation companies are putting money into AI, therefore we must be near AGI.”

The best evaluation of progress is to use the tools we have. It doesn’t look like we are close to AGI. It looks like amazing NLP with an enormous amount of human labelling.

>>rhubar+A81
>The problem is, they are hugely incentivised to hype to raise funding.

Hype is extremely normal. Everyone with a business gets the chance to hype for the purpose of funding. That alone isn't going to get several of the biggest tech giants in the world to pour billions.

Satya just said, "he has his 80 billion ready". Is Microsoft an "AI foundation company" ? Is Google ? Is Meta ?

The point is the old saying - "Put your money where your mouth is". People can say all sorts of things but what they choose to spend their money on says a whole lot.

And I'm not saying this means the investment is guaranteed to be worth it.