Without enough funding, they absolutely will care.
Thats between $33 billion and $47 billion at current costs. Someone needs to fund that.
I’d also note that their models seem to be getting worse, with outright irrelevant answers, worse perfoemance, failures in following instructions, etc. Stanford and UC Berkeley did a months-long comparison, and even basic math is going downhill.
How fast are they burning money right now?
Based on their funding rounds, $10 billion lasts about 18 months.
So about $555 million per month.
They don’t care if they earn money the next 5-7 years.
And they will hit the point of a great model doing human work for less than a monthly salary. It’s just a matter of time.
I’d rather say that it’s a matter of exponentially increasing funding and computing power.
Without enough funding, they absolutely will care.
Thats between $33 billion and $47 billion at current costs. Someone needs to fund that.
I’d also note that their models seem to be getting worse, with outright irrelevant answers, worse perfoemance, failures in following instructions, etc. Stanford and UC Berkeley did a months-long comparison, and even basic math is going downhill.
I am honestly very very curious: how?