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I think Anthropic and OpenAI have found product-market fit

simonwillison.net

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Re: I think Anthropic and OpenAI have found product-market fit

#901

Earlier quoted context omitted.

It's vaguely disturbing that people "watch" films 10-12 hours a day. Many of them are using it as a radio, for background noise, without really caring what the program is beyond vague genre, tuning in and out without particular regard to the plot… and yet we have all the cost of transmitting high-resolution video point-to-point. Surely we could just put better stuff on the radio, and accomplish most of the same goals…

Who has the time to watch films 10-12 hours a day? I think the comment put forward that as an incorrect assumption that was made prior to the cable build-out.

Which is now an actual way that people use streaming services.

Re: I think Anthropic and OpenAI have found product-market fit

#902

> Anthropic are strongly rumored to be about to have their first profitable quarter. Is that quarter same as any other quarter in terms of infrastructure costs (e.g. are there any temporary discounts happening coincidentally)?

[flagged]

Re: I think Anthropic and OpenAI have found product-market fit

#903
post #866
post #841

Earlier quoted context omitted.

All the planned infrastructure commitments. At least for OpenAI I think they're supposed to spend $300+bn in the next few years.

I still don't understand why that means they need to make 5-10 trillion over the next 5 years.

I think the original argument is too limited in its scope. The wider AI market, which is primarily fueled by OpenAI, Anthropic, Google and the large frontier labs (are there any other in the West, except for these 3?) is spending how much... $900bn this year in DC buildouts? After the spent $500bn last year and they're probably planning to spend just as much the next few years if things go remotely their way.

So yeah, I wouldn't be shocked that in the 2023 - 2033 timespan total AI investment worldwide will be around $5tn, maybe even going towards $10tn.

All that money will have to be repaid, and it will have to be repaid 10x, otherwise heads will roll.

The enshittification we've seen so far is nothing compared to what's coming.

Re: I think Anthropic and OpenAI have found product-market fit

#904
post #881

Earlier quoted context omitted.

I don't know, "workaday professionals will find $200/month a particularly good deal, such that there will be widespread adoption" sounds either credulous enough to support the diagnosis or dishonest enough to dismiss. I am a "knowledge worker" who is doin' fine, has a lot of templated written work/report writing, and there is no way in hell I am justifying that kind of spending to my boss or my family.

"I firmly believe this technology will create business value" is so obviously and categorically different from "Humanity has birthed a silicon god that I have also developed romantic feelings for" that I'm not sure if your comment is even trying to be in good faith

What sort of bad faith would even apply here? idgaf if poster x or y has psychosis or not. "$200 a month is classic addict behavior" seems pretty spot-on to me though, I just don't want to have to pay it, too.

Re: I think Anthropic and OpenAI have found product-market fit

#905
post #881

Earlier quoted context omitted.

I don't know, "workaday professionals will find $200/month a particularly good deal, such that there will be widespread adoption" sounds either credulous enough to support the diagnosis or dishonest enough to dismiss. I am a "knowledge worker" who is doin' fine, has a lot of templated written work/report writing, and there is no way in hell I am justifying that kind of spending to my boss or my family.

"I firmly believe this technology will create business value" is so obviously and categorically different from "Humanity has birthed a silicon god that I have also developed romantic feelings for" that I'm not sure if your comment is even trying to be in good faith

[deleted]

Re: I think Anthropic and OpenAI have found product-market fit

#907
post #510
post #499

Earlier quoted context omitted.

> My core point is more that April 2026 was the point when Anthropic and OpenAI finally appeared to have figured out a credible business model. How so? What's specifically changed? We still don't know what their unit economics are and everything you've documented is basically speculation at this point.

> What's specifically changed? 1. Both Anthropic and OpenAI significantly increased the prices of their latest models. They're clearly not trying to offer the lowest-price-possible to drum up demand any more. 2. Both Anthropic and OpenAI no longer let enterprise companies buy discounted almost-all-you-can-eat subscriptions. Those big enterprises are now paying full API prices. 3. According to reasonably well-sourced…

> 3. According to reasonably well-sourced leaks, Anthropic may be about to have their first profitable quarter.

might as well be because of this:

> [...] with capacity ramping in May and June 2026 at a reduced fee.

And then, we have

> The agreements may be terminated by either party upon 90 days’ notice.

The timing of the "leak" of profitability is just as superb for Anthropic as the timing of the $45b deal is for SpaceX.

I wonder how this partnership looks like on August 1st...

Re: I think Anthropic and OpenAI have found product-market fit

#908
post #826
post #755

Earlier quoted context omitted.

At some point, if we reach stability on the models, we'll start getting silicon optimized for individual models. They are optimizing for time to market, not efficiency right now. I don't know how much it will move the needle on the cost math, but at this scale any improvement has a crazy multiplier.

But that means going back to "80% profit margin" Jensen and further digging your capex hole. The benefits would have to pay not only for current capex but also past capex. But by then, I will be able to go one line down in my dropdown menu to switch to a newer LLM provider who doesn't have to amortize those past capex.

Yes, the whole thing feels dot comish. I’m betting there will be a few (maybe only 1-2, like what happened to search) winners, and everyone else is in for a bad time. It’s the same dynamic too: the winners are going to win so big that everyone wants to get their money in for a chance at a piece of the pie.

Re: I think Anthropic and OpenAI have found product-market fit

#909

Earlier quoted context omitted.

Yes the huge discrete stepwise training spend is critical. Maybe investors will realise that "the only winning move is not to play". And so we are left with (as was) frontier models getting more and more out of date as whoever their post bankruptcy custodians are tries to eek pennies on the dollar for inference on their decaying property. Perhaps along with local and/or highly specialized models still feeding on the…

> frontier models getting more and more out of date Why are they getting out of date? Is it because we have new content from the internet that the older models did not have? Or are we simply trying to increase the size of the training data? In other words not more up-todate in terms of time the content was created vs. wanting to use bigger training-input-sets?

lack of new content from the internet will make them go out of date. Not just facts and figures, but (for example) new programming languages/techniques.

Re: I think Anthropic and OpenAI have found product-market fit

#910
post #516

Earlier quoted context omitted.

For equal capability tokens, there has been about a 10x drop in cost every 6 months. We are still chasing the best because the best is moving rapidly, but it’s a simple thought experiment to work out what the cost to serve an 8B model from 2 years ago is in a world of 2T models. Note: parameter counts are illustrative. Concretely, qwen3.6 27B delivers opus 4.5 capability at 1/27th the cost on openrouter. Single chip…

> For equal capability tokens, there has been about a 10x drop in cost every 6 months Is this still happening? Opus 4.5 was six months ago, can you get its capabilities for 1/10 cost now? Are we on track to get the same for 4.6 in a couple months?

Pretty much, Kimi K2.6 is opus 4.6 quality for coding. If you include discounts due to more efficient input caching it is around 1/10th of opus4.6.

https://openrouter.ai/moonshotai/kimi-k2.6

The march of cost efficiency moves on.

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