simianwords
Joined 1 year ago
Joined 1 year ago
It’s more or less certain that Anthropic is already profitable if you discount the losses due to becoming too valuable.
What you are saying here
> The CapEx spend for AI not only makes AI itself more expensive (and thus less profitable),
There’s nothing inherently unique about this. It’s just supply and demand - the only problem is that the ecosystem of raw materials can’t keep up with the demand. It will catch up soon and the prices will stabilise.
Your only problem seems to be this aspect only: that RAM production hasn’t increased according to demand.
No I don’t agree they should slow down. I think RAM and other things should rather speed up to react appropriately to the demand.
It’s like saying the iPhone is not profitable because too many people want it and its price is going up.
> Last year, for instance, Anthropic lost $80 billion, and Amazon had negative $42 billion free cash flow. The entire big tech complex, it seems, has moved from minting cash to burning it. And investors are, well, not panicking exactly, but wondering if the bubble is ending
Is this really the quality of such newsletters? I’m not asking rhetorically because I’d like to also have trustable sources to understand the underlying reality. I actually spent time understanding this part and the 80B dollar loss thing is completely misrepresented here (also went viral in other media).
I asked this to ChatGPT “if anthropics valuation didn’t rise and stayed at 200B what would their profit be on q2”
The answer is around 1B of profit.
You do know that all valuations can go up together right? It’s not zero sum. OpenAI can create trillions in value not by taking it from somewhere but by creating it from nothing.
1. Guys so AI is a bubble but that doesn’t mean it’s not useful, just like dot com bubble
2. “Someone would have to see value in that. Right now the value prop of AI is that maybe someday it'll get better and we'll be able to build useful, profitable consumer products on it”
2. Claude Code limits tightened. A commenter expects the bubble to pop, while arguing AI will succeed long term. https://news.ycombinator.com/item?id=44599297
3. GPT-5 disappoints. "Teetering on the edge of a huge bubble pop." https://news.ycombinator.com/item?id=44966583
4. DeepSeek releases a cheaper model. A commenter expects excess data-centre capacity when the bubble bursts. https://news.ycombinator.com/item?id=45413548
5. AMD signs an OpenAI chip deal. A commenter predicts a bubble pop and a flood of cheap GPUs. https://news.ycombinator.com/item?id=45491514
6. Discussion of AI-assisted open-source contributions. A commenter says models must improve soon or the bubble will pop. https://news.ycombinator.com/item?id=45745326
7. Discussion of Opus 4.5 coding. A commenter advises using cheap AI tools before the bubble bursts. https://news.ycombinator.com/item?id=46521192
8. GitHub Copilot moves to usage-based billing. "The bubble has burst." https://news.ycombinator.com/item?id=47929404
9. DeepSeek runs on one AMD accelerator. A commenter predicts a bubble pop will flood the hardware market. https://news.ycombinator.com/item?id=49166790
10. Same DeepSeek thread. "AI is overvalued, so it WILL pop." https://news.ycombinator.com/item?id=49167787
Edit: more examples
1. AI on an old CPU: coding gains don’t justify investment; bubble will burst. https://news.ycombinator.com/item?id=48938412
2. Nvidia–OpenAI deal stalls: GPU bubble, inflated demand. https://news.ycombinator.com/item?id=46834749
3. Lisp machines retrospective: AI bankruptcies and another bubble. https://news.ycombinator.com/item?id=45990309
4. Nvidia customer concentration: AI bubble will pop despite useful technology. https://news.ycombinator.com/item?id=41411258
5. DeepSeek open-source announcement: inflated AI valuations will collapse. https://news.ycombinator.com/item?id=43126535 https://news.ycombinator.com/item?id=43126619
6. OpenAI–AWS deal: spending commitments could bring everything crashing down. https://news.ycombinator.com/item?id=45802550
7. Anthropic funding: final big push before the bubble bursts. https://news.ycombinator.com/item?id=45105333
8. Enterprise AI adoption: disappointing returns will pop the bubble within two years. https://news.ycombinator.com/item?id=48025025
9. OpenAI cash burn: railroad-style bubble and massive investment downturn. https://news.ycombinator.com/item?id=46439964
What is your prescription if I may ask? Don’t invest in research? Let China do it?
Please refute this argument: how can you expect 100% accuracy when your input is natural language which is fuzzy by definition?
Any tiny news article that indicates even a modicum of challenges for OpenAI will be met with slurry of such comments.
Perhaps it’s good to keep a good epistemic hygiene in all this. OpenAI isn’t going away anywhere soon. AI isn’t going away, in fact we haven’t even started yet.
I can’t imagine AI making sales by itself
There’s this popular misconception that companies only chase stock valuation but it doesn’t look true.