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[return to "Three senior researchers have resigned from OpenAI"]
1. dschue+D3[view] [source] 2023-11-18 07:38:34
>>convex+(OP)
Are those the first cracks in the AI market bubble?
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2. Tohhou+q5[view] [source] 2023-11-18 07:55:13
>>dschue+D3
You must not use AI if you think this. AI is not the bubble. Everything AI will replace is the bubble.
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3. claude+z7[view] [source] 2023-11-18 08:15:19
>>Tohhou+q5
AI today is in a weird position. What I can do today with AI was _inimaginable_ just 1 year ago. However, for a lot of people, the concept has worn out so fast, that they don't realize anymore what has happened... Some very intelligent people said some very silly things, such as that it was a bad search engine (it isn't a search engine) that it was a glorified word guesser (it doesn't exactly work as your telephone word suggestion). And so on and so forth. People always try to understand new technology through the lense of older technology. I do it, you certainly do it. This is how we grasp novelty. But AI is in a different dimension. I have been working in the domain for 30 years and I really didn't think we would reach this level in my life time. Talking to a computer to bring it to make some quite complicated task is INCREDIBLE... However, since communication is really ubiquitous for Humans, we tend to forget that it is an incredible achievement... In less than a year, we went for Scify ("Her") to reality, and in less than a year people have become blasé for something so fantastic... This is what consummerism did to people... They can't wonder more than a year...
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4. ncruce+Ab[view] [source] 2023-11-18 08:52:19
>>claude+z7
It's a wonder. But if capex and opex are insane, and go up with every generation, the magic fades quickly.

Like, GitHub Copilot may be amazing, but if it looses money for every added user, if power users loose the company 4 or 8 times what they already pay, then maybe it's not an efficient use of compute resources.

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5. code_b+Hd[view] [source] 2023-11-18 09:08:30
>>ncruce+Ab
Yes, this. What made tech companies valued at higher revenue multiples than other industries is that new users could start using a product at near zero marginal cost once the tech was built. New revenue at zero marginal cost. AI is great but expensive to operate and the expense grows in direct proportion to usage. New users come in and you have to stand up a new data center full of H100s to serve it.
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