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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

#471
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…

Consumer brand quality is so massively underrated by tech people. ChatGPT has a phenomenal brand. That's worth 100x more than "product stickiness". They have 700 million weekly users and growing much faster than Google. I think your points on Google being well positioned are apt for capitalization reasons, but only one company has consumer mindshare on "AI" and its the one with "ai" in its name.

> ChatGPT has a phenomenal brand.

If by "phenomenal" you mean "the premier slop and spam provider", then yes.

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

#473

Earlier quoted context omitted.

>All of these teens use Google Docs instead of OpenAI Docs, Google Meet instead of OpenAI Meet, Gmail instead of OpenAI Mail, etc. Billions of people use Meta apps and products. Meta AI is all over all those apps. Why is usage minuscule compared to ChatGPT or even Gemini ? Google has billions of users, many using devices operating their own OS, in which Gemini is now the default AI assistant, so why does ChatGPT usag…

Nah. No one is using Meta AI because it's shoehorned into contexts where you don't actually need it. And that's because these happen to be the only surfaces that Meta controls. They know full well they won't win there, which is probably why they're so desperate for a "hail Mary" in the VR / AR space. For the average person, what's the most serious / valuable use of ChatGPT right now? It's stuff like writing essays, c…

>No one is using Meta AI because it's shoehorned into contexts where you don't actually need it.

What's shoehorned about LLMs in a messaging app? This kind of casual conversation is a significant amount of LLM usage? Open AI says non-work queries account for about 70% of ChatGPT usage. They say that '“Practical Guidance,” “Seeking Information,” and “Writing”' are the 3 mot common topics, so really, how is it shoehorned to place this in Facebook ? [0]

>For the average person, what's the most serious / valuable use of ChatGPT right now? It's stuff like writing essays, composing emails, planning tasks. This is precisely the context in which Google has a foothold. You don't need to open ChatGPT and then copy-and-paste if you have an AI button directly in the text editor or in the email app.

Lol I don't know what else to tell you but that really doesn't matter, but it's not like you have to take my word for it. Copilot is baked in the Microsoft Office Suite. The Microsoft Office Suite dwarfs Google Docs, Sheets etc (yes even for students) in terms of usage. What impact has this had on Open AI and chatGPT ? Absolutely nothing.

[0] https://openai.com/index/how-people-are-using-chatgpt/

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

#475

Earlier quoted context omitted.

I've said it before and I'll say it again.. if I was able to know the time it takes for bubbles to pop I would've shorted many of the players long ago.

Eh, this seems like a cop out. It’s so easy for people to shout bubble on the internet without actually putting their own money on the line. Talk is cheap - it doesn’t matter how many times you say it, I think you don’t have conviction if you’re not willing to put your own skin in the game. (Which is fine, you don’t have to put your money on the line. But it just annoys me when everyone cries “bubble” from the sideli…

Believe it or not, many people just don’t care about the stock market. But they may still care about the economy that could crash badly if the AI bubble gets too big before it pops.

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

#476

Earlier quoted context omitted.

Unlike railroads and fibre, all the best compute in 2025 will be lacklustre in 2027. It won’t retain much value in the same way as the infrastructure of previous bubbles did?

> Unlike railroads and fibre, all the best compute in 2025 will be lacklustre in 2027. I definitely don't think compute is anything like railroads and fibre, but I'm not so sure compute will continue it's efficiency gains of the past. Power consumption for these chips is climbing fast, lots of gains are from better hardware support for 8bit/4bit precision, I believe yields are getting harder to achieve as things get…

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

#477
post #271

Earlier quoted context omitted.

What is OpenAI's moat? There's plenty of competitors running their own models and tools. Sure, they have the ChatGPT name, but I don't see them massively out-competing the entire market unless the future model changes drastically improve over the 3->4->5 trajectory.

This! The cost of training models inevitably goes down over time as FLOPS/$ and PB/$ increases relentlessly thanks to the exponential gains of Moore's law. Eventually we will end up with laptops and phones being Good Enough to run models locally. Once that happens, any competitor in the space that decides to actively support running locally will have operating costs that are a mere fraction of OpenAI's current busine…

> increases relentlessly thanks to the exponential gains of Moore's law

Moore's so-called "law" hasn't been true for years.

Chinese AI defeated American companies because they spent effort to optimize the software.

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

#478

Earlier quoted context omitted.

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.

All of these teens use Google Docs instead of OpenAI Docs, Google Meet instead of OpenAI Meet, Gmail instead of OpenAI Mail, etc. I'm sure that far fewer people to go gemini.google.com than to chatgpt.com, but Google has LLMs seamlessly integrated in each of these products, and it's a part of people's workflows at school and at work. For a while, I was convinced that OpenAI had won and that Google won't be able to re…

>Google Docs instead of…

All of these teens use Microsoft Word instead of Google Word, Microsoft NetMeeting instead of Google NetMeeting, Microsoft Hotmail instead of Google Mail, etc.

I’m sure far fewer people go to MSN Search than to Google.com, but Microsoft has Windows integrated into all of these products, and it’s part of people’s workflows at school and at work.

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

#479
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…

There is definitely stickiness if you're a frequent user. It has a history of hundreds of conversations. It knows a lot about me.

Switching would be like coding with a brand new dev environment. Can I do it? Sure, but I don't want to.

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

#480
post #407

Earlier quoted context omitted.

The A100 came out 5.5 years ago and is still the staple for many AI/ML workloads. Even AI hardware just doesn’t depreciate that quickly.

Don't they degrade physically from being run at full blast 24/7 for so many years?

Not nearly as badly if you keep them cool.
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