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OpenAI's H1 2025: $4.3B in income, $13.5B in loss

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Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#381
post #27

Earlier quoted context omitted.

Both numbers are entirely ludicrous - highly skilled people are certainly quite valuable. But it's insane that these companies aren't just training up more internally. The 50x developer is a pervasive myth in our industry and it's one that needs to be put to rest.

The 50x distinguished engineer is real though. Companies and fortunes are won and lost on strategic decisions.

Dave Cutler is a perfect example. Produced trillions of dollars in value with his code.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#382

I'm old and have been on the Internet since the Prodigy days in 90. Open Ai has the best start of any company I can remember. Even better than Google back in 98 when they were developing their algo and giving free non-monetized search results to Yahoo. These guys have had my $20 bucks a month since Plus was live, they will indeed be more than fine.

Exactly. Early on their adoption curve was like nothing I've ever seen before.

I am such a miser, I skimp, steal what I can, use the free alternatives majority of the time. If they got me to pay, they've got everyone else's money already.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#383
post #362

Earlier quoted context omitted.

What is OpenAI's competitive moat? There's no product stickiness here. What prevents people from just using Google, who can build AI stuff into their existing massive search/ads/video/email/browser infrastructure? Normal, non-technical users can't tell the difference between these models at all, so their usage numbers are highly dependent on marketing. Google has massive distribution with world-wide brands that peopl…

ChatGpt has won. I talk to all teens living nearby and they all use chatgpt and not Google. The teens, they don't know what is OpenAI, they don't know what is Gemini. They sure know what is ChatGPT.

I'm not saying you're wrong, but people said the same thing about Yahoo, Excite, Lycos, etc. in 1999. Interesting times, then and now.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#384
post #5

$2.5B in stock comp for about 3,000 employees. that’s roughly $830k per person in just six months. Almost 60% of their revenue went straight back to staff.

They have to compete with Zuckerberg throwing $100M comps to poach people. I think $830k per person is nothing in comparison.

Zuckerberg is not throwing $100 million at any random OpenAI employee. Also FWIW OpenAI competes on offers in the other direction.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#385
post #362
post #231

I think people are massively underestimating the money they will come from ads in the future. They generated $4.3B in revenue without any advertising program to monetise their 700 million weekly active users, most of whom use the free product. Google earns essentially all of its revenue from ads, $264B in 2024. ChatGPT has more consumer trust than Google at this point, and numerous ways of inserting sponsored results…

What is OpenAI's competitive moat? There's no product stickiness here. What prevents people from just using Google, who can build AI stuff into their existing massive search/ads/video/email/browser infrastructure? Normal, non-technical users can't tell the difference between these models at all, so their usage numbers are highly dependent on marketing. Google has massive distribution with world-wide brands that peopl…

Let me direct you to the reddit AMA where people were literally begging to bring back 4o.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#386
post #27

Earlier quoted context omitted.

They have to compete with Zuckerberg throwing $100M comps to poach people. I think $830k per person is nothing in comparison.

Both numbers are entirely ludicrous - highly skilled people are certainly quite valuable. But it's insane that these companies aren't just training up more internally. The 50x developer is a pervasive myth in our industry and it's one that needs to be put to rest.

I think the unfortunate reality is that training someone to reach the frontier is time taken away from actually pushing it. The opportunity cost alone is worth millions to them.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#387
post #362
post #231

I think people are massively underestimating the money they will come from ads in the future. They generated $4.3B in revenue without any advertising program to monetise their 700 million weekly active users, most of whom use the free product. Google earns essentially all of its revenue from ads, $264B in 2024. ChatGPT has more consumer trust than Google at this point, and numerous ways of inserting sponsored results…

What is OpenAI's competitive moat? There's no product stickiness here. What prevents people from just using Google, who can build AI stuff into their existing massive search/ads/video/email/browser infrastructure? Normal, non-technical users can't tell the difference between these models at all, so their usage numbers are highly dependent on marketing. Google has massive distribution with world-wide brands that peopl…

>non-technical users can't tell the difference between these models at all

My non-tech friend said she prefer ChatGPT more than Gemini, most due to its tone.

So non-tech people may not know the different in technical detail, but they sure can have bias.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#388
post #362
post #231

I think people are massively underestimating the money they will come from ads in the future. They generated $4.3B in revenue without any advertising program to monetise their 700 million weekly active users, most of whom use the free product. Google earns essentially all of its revenue from ads, $264B in 2024. ChatGPT has more consumer trust than Google at this point, and numerous ways of inserting sponsored results…

What is OpenAI's competitive moat? There's no product stickiness here. What prevents people from just using Google, who can build AI stuff into their existing massive search/ads/video/email/browser infrastructure? Normal, non-technical users can't tell the difference between these models at all, so their usage numbers are highly dependent on marketing. Google has massive distribution with world-wide brands that peopl…

Users' chat history is the moat. The more you use it, the more it knows about you and can help you in ways that are customized to particular user. That makes it sticky, more so than web search. Also brand recognition, ChatGPT is the default general purpose LLM choice for most people. Everyone and their mom is using it.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#389
post #45

Correction: 4.3B in revenues . Other than Nvidia and the cloud providers (AWS, Azure, GCP, Oracle, etc.), no one is earning a profit with AI, so far. Nvidia and the cloud providers will do well only if capital spending on AI, per year, remains at current rates.

I really hope NVidia doesn't get too comfortable with the AI incomes, would be sad to see all progress in gaming disappear.

What progress in gaming would that be?

2 generations of cards that amount to “just more of a fire hazard” and “idk bro just tell them to use more DLSS slop” to paper over actual card performance deficiencies.

We have 3 generations of cards where 99% of games fall approximately into one of 2 categories:

- indie game that runs on a potato

- awfully optimised AAA-shitshow, which isn’t GPU bottlenecked most of the time anyway.

There is the rare exception (Cyberpunk 2077), but they’re few and far between.

Re: OpenAI's H1 2025: $4.3B in income, $13.5B in loss

#390
post #165

Earlier quoted context omitted.

The ∞x engineer exists in my opinion. There are some things that can only be executed by a few people that no body else could execute. Like you could throw 10000 engineers at a problem and they might not be able to solve that problem, but a single other person could solve that problem. I have known several people who have went to OAI and I would firmly say they are 10x engineers, but they are just doing general infra…

I think you're right to an extent (it's probably fair to say e.g. Einstein and Euler advanced their fields in ways others at the time are unlikely to have done), but I think it's much easier to work out who these people are after the fact whereas if you're dishing out a monster package you're effectively betting that you've found someone who's going to have this massive impact before they've done it. Perhaps a gamble…

OpenAI is taking bigger gambles already, though.
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