Gives you an idea of the scale...
Gives you an idea of the scale...
Ugh we still don't know if this is true and it's nearly impossible to calculate without a full understanding of the real CAPEX cycle. Stop spreading these rumors until we know for sure.
But again once future models arrive they would render older models useless, so the asset must be depreciating really fast.
Would love someone to throw light on revenue and cost recognition at the unit level for this.
It's like having new solar panels installed every week. Sure you're "profitable" on the $0.20/kWh you're selling your "free" energy at when you ignore the cost of the solar panels you're buying every week.
Basically there was a choice between taking the money, and growing. They chose growth.
The US doesn't pay too much to healthcare, they pay too much to health insurance. Too much for too little value
Spending on health insurance is spending on health care.. Americans want free healthcare but no tax bump so health insurance is a compromise.. when even just ACA was passed and premiums increased, democrats got destroyed at midterms so Americans might be living in la la land.
I see funding of chatgpt as one of small part of a history where governments and industry fund basic science and moonshot programs, not to generate revenue, but to explore what is possible.
LLM funding is not aimed at improving our understanding of the world, it's aimed at making people reliant so that they may extract wealth through subscriptions for shareholders.
Americans don't get good healthcare and education because that's what they vote for, in elections and wallets. I am hopeful that that changes, but we shall see.
No Americans get fat and don't have a personal responsibility to maintain their health.. no amount of free healthcare is gonna change that.. they vote for free healthcare, see their taxes raise, then vote against cz they don't see tradeoffs in life.. it's better to maintain better habits than rely on govt to subsidize bad behaviour. There should be some basic coverage for poor people but not too much to sustain irresponsibly
Building the LLM that could do this work in 11 days cost multi billions.
The economics probably only make sense if LLMs prove to be a benefit to almost everyone in a way we can all accept.
Otherwise this cost a lot more than we’d otherwise pay. It was incredibly fast though. But we all know: cost, speed, quality. Pick two.
The model wouldn't not be able to solve this without all the training leading up to the actual execution, so counting only the tokens of the execution doesn't give the full picture.
For argument let’s just say we paid all the mathematicians 200k in salary from graduation till retirement. Say 40 years. That’s about 8 million. Let’s round that up to USD 10 million. We can see the future and pay to raise all the baby mathematicians.
For 100 billion that’s 10000 mathematician lifetimes. For 1 AI company _so far_.
There’s no value for money in AI yet.
Likewise, LLMs also needed the same amount of evolution.
My point is that it's silly to make these comparisons on resources. A single SOTA trained LLM isn't just doing advanced math research. It's used by hundreds of millions or even billions daily for various tasks. It's just a tool humans invented.