Hahaha. April 1st is early this year.
They are never going to make enough money by selling licenses and subscriptions for the cost of their current models (smarter people than me have made good estimates), let alone the future ones. Those future models are at a much worse performance-cost ratio. Ads will at best bring in about 1 usd per user per month (estimated by Facebook revenue and number of users) - double or triple it just for lolz, and they would still be losing money.
So… how will this be pulled off? Only wrong answers!
Have a partnership with Microsoft and ship Windows 12 as the new “AI only” OS. Every command must go through ChatGPT to work. Then push updates to older Win11 OS to make them unusable.
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.
Hahaha. April 1st is early this year.
They are never going to make enough money by selling licenses and subscriptions for the cost of their current models (smarter people than me have made good estimates), let alone the future ones. Those future models are at a much worse performance-cost ratio. Ads will at best bring in about 1 usd per user per month (estimated by Facebook revenue and number of users) - double or triple it just for lolz, and they would still be losing money.
So… how will this be pulled off? Only wrong answers!
Have a partnership with Microsoft and ship Windows 12 as the new “AI only” OS. Every command must go through ChatGPT to work. Then push updates to older Win11 OS to make them unusable.
From what I’ve heard, they don’t need to push updates to achieve that
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?
They’ll upgrade the Aibo and stick Altman’s face on it. People in offices can enjoy kicking it.