He seems to be trying to take almost a "venture studio" approach by throwing shit at the wall, but the problem with these things is always that the "internal startups" are "founded" by people who don't have enough incentive or control over their product to perform as well as an actual startup, and are distracted by internal politics. And frankly, it may also be that the really good founders will just do their own startup vs working on a quasi-startup inside a large org so there's some selection bias as well.
The OpenAI graveyard: All the deals and products that haven't happened
11–20 of 208 posts
Re: The OpenAI graveyard: All the deals and products that haven't happened
#12Has there ever been a period o time where people saw a bubble coming and that we were in one, but it just inexorably refused to pop/drug out this long? This isn’t a rhetorical question, I’m wondering how this period compares to other irrational periods of the economy like railroad fever etc.
One of the challenges here is that a lot of folks simply weren’t around then and haven’t seen what happens when everything implodes overnight. Those that have experienced it know what that looks like and know it will happen again.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#13Earlier quoted context omitted.
Anthropic does look healthier, with their enterprise focus. Or am I missing something?
The LLM usage will generate hundreds of billions of dollars in ad revenue, which will be wildly lucrative in terms of margins (not as good as Google search used to be). If GPT is a leader in that, they'll take a sizable share of that pot. There's a lot more money in being Google -> consumer ads, or Amazon -> consumer ads, or Meta -> consumer ads, than there is in being Anthropic -> enterprise. Just take a look at the…
And yet every attempt to extract even minimal ad revenue has been canned to date as something nobody wants with AI providers retreating in failure.
I don’t doubt that there’s “some” ad revenue to be had but there’s little evidence that ads are going to save the day here.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#14Earlier quoted context omitted.
Anthropic does look healthier, with their enterprise focus. Or am I missing something?
The LLM usage will generate hundreds of billions of dollars in ad revenue, which will be wildly lucrative in terms of margins (not as good as Google search used to be). If GPT is a leader in that, they'll take a sizable share of that pot. There's a lot more money in being Google -> consumer ads, or Amazon -> consumer ads, or Meta -> consumer ads, than there is in being Anthropic -> enterprise. Just take a look at the…
This seems like ... not the situation we are in. LLMs are great for coding now but their text generation capabilities aren't exactly capturing the masses or replacing their jobs yet. People are already tired of the deluge of fake content on the internet, it's not going to drive a second revolution in web ads.
The $20-200 LLM plans are all subsidized and aren't paying for themselves. Something has to give here.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#15Why is this on the list? Like... what? How about including GPT 3.5 and GPT 2 here too?
Re: The OpenAI graveyard: All the deals and products that haven't happened
#16Has there ever been a period o time where people saw a bubble coming and that we were in one, but it just inexorably refused to pop/drug out this long? This isn’t a rhetorical question, I’m wondering how this period compares to other irrational periods of the economy like railroad fever etc.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#17Has there ever been a period o time where people saw a bubble coming and that we were in one, but it just inexorably refused to pop/drug out this long? This isn’t a rhetorical question, I’m wondering how this period compares to other irrational periods of the economy like railroad fever etc.
It’s not been that long really. The dot com bubble was called a bubble for a while before it finally imploded. And just like now folks were in massive denial that it was a bubble. One of the challenges here is that a lot of folks simply weren’t around then and haven’t seen what happens when everything implodes overnight. Those that have experienced it know what that looks like and know it will happen again.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#18My guess is Sam Altman is a better VC than CEO. Better at hype, networking, fund raising, and back room political hijinks than shipping a focused product He seems to be trying to take almost a "venture studio" approach by throwing shit at the wall, but the problem with these things is always that the "internal startups" are "founded" by people who don't have enough incentive or control over their product to perform a…
Re: The OpenAI graveyard: All the deals and products that haven't happened
#19Earlier quoted context omitted.
Anthropic does look healthier, with their enterprise focus. Or am I missing something?
The LLM usage will generate hundreds of billions of dollars in ad revenue, which will be wildly lucrative in terms of margins (not as good as Google search used to be). If GPT is a leader in that, they'll take a sizable share of that pot. There's a lot more money in being Google -> consumer ads, or Amazon -> consumer ads, or Meta -> consumer ads, than there is in being Anthropic -> enterprise. Just take a look at the…
Billions in projected revenue is nothing but hype/cope. Google and Meta got their edge because their product was offered for "free" to the masses.
Re: The OpenAI graveyard: All the deals and products that haven't happened
#20This is important context in the wake of yesterday’s “raise” announcement. A lot of this stuff seems to just quietly never happen once the ink on the PR puff dries. The AI industry increasingly looks in scramble mode to keep the hype going as those storm clouds of financial and business reality get darker and darker on the horizon.
Anthropic does look healthier, with their enterprise focus. Or am I missing something?
But between their token curtailment and time of day restrictions, and some of the clues in the code leak (regex for sentiment, telling the public client to be "brief") it seems like they are facing some capacity issues.
Im guessing that the accountants at all the AI incumbents drink heavily.