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I was very bearish on AI to begin with, but recently I started experimenting more with APIs and building my own agents. And wow, I did not realize how heavily subsidized all the subscriptions were: 🧵 1/6

The $200/month Claude subscription I have is okish. Current frontier model capabilities are mediocre at best, but I can find $200/month worth of value here and there, so it's worth it for me. But, via the API though, I can burn $200 worth of tokens with a single prompt. 2/6

Most of the die-hard AI fans I talk to are using stuff like Cursor, Claude Code, ChatGPT, etc. All of those are heavily-subsidized to the point where those $20/month and $200/month subscriptions they're paying for are letting them burn thousands of dollars worth of tokens. 3/6

I'd guess some of the heavier subscription users are probably burning like $15-30k/month worth of resources. Then you have to consider the fact that the actual cost of API tokens may also be subsidized. These company are getting discount compute from cloud providers looking to expand. 4/6

So, like, yeah, "everyone gets a free supercomputer" is great and all. But it isn't a serious business model. I just don't see how any amount of capability advancement or decrease in operational cost makes generative AI even remotely good value for money. 5/6

Then every AI proponent I talk to about this just come up with some insane napkin math where token costs keep decreasing exponentially forever. It feels as if the entire industry is basically operating on some insane Moore's law hypothesis where everything just becomes free... 6/6

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AI is venture capital's last and most desperate attempt to get Moore's Law back after Dennard Scaling effectively killed its performance gains. It's a desperate attempt to undo dark silicon. And that happened 20 years ago so it's past necrophilia into necromancy

Sam Altman ground Moore's law into a fine powder and snorted it, and thousands of credulous rich people across the country have decided that made him a genius.

Chips are getting faster, but they're not getting cheaper for it. The OG formulation of Moore's Law was cost per integrated component is cut in half every x months (the value of x fluctuated over the years).

It wasn’t even that! It was just an observation by Gordon Moore (after not that many years of production) that transistor density on IC wafers was roughly doubling every 18 months (to that point). People assigned quite a lot of undue significance to that observation, which he never posited as law.

Moore didn't propose it, but that dennard scaling allowed performance to roughly map with transistor density is what made Moore's law so world changing. Thus Dennard's demise killed a lot of the significance questiohably attached to Moore's law long before straight transisitor-density gains ran out.

What I'm really trying to get at is that Moore factored cost into the equation. In theory, you can double the number of transistors in a wafer by doubling the size of the wafer, but the economics fight you. Discussions like this tend to skip right past this fact, but it has profound implications.

Take the Intel 8008, adjust its cost for inflation, and then figure out how many transistors it "should" have when doubling every 18 or 24 months. There are chips that come close to the transistor count, but they're at least an order of magnitude more expensive.

Big Tech has yet to grapple with this fact. Compute isn't getting cheaper anymore. On the contrary, major supply shocks, like the whole DRAM situation, is making tech more expensive than it used to be. That is a reversal of a trend that's been going my entire life.

I think you might be just a hair too young to viscerally remember the dot com bubble bursting, but this is exactly what the run-up to that felt like, with people saying “hang on, how does pets dot com sell 40lb bags of cat food at invoice price with free shipping and expect to make a profit?”

And the answer from the True Believers was basically “volume!” which just meant the businesses based on wishcasting folded faster and more spectacularly, and billions of dollars of theoretical investment money evaporated overnight, which had, uh, some collateral effects

Can't talk about the economics of the whole thing but using the free Claude tokens via the web interface (no API, no agents, etc.) let me do in two months what before I couldn't do in 5 years, so it has been quite useful to me. Open-source projects, though, so I don't have any cost/benefit analysis.

What’s wild to me is that OpenAI thinks they’re going to churn most of their $20/mo subscriptions into $8/mo subscriptions by the end of 2027. Do businesses usually plan to scale by moving most of their customers to lower-revenue users?

I mean, Sam Altman did say their plan was to make ChatGPT smart enough to find a business model for them, and this does sound like the kind of business model ChatGPT would come up with

In my field it is faster, better and (so far) cheaper than anything else before. We just structure data with it and it seems to have solved many parts of NLP. Smaller models are enough for this and it produces ROI in BPA. So, even without being a "fan" we have to use it.

It's not sustainable, unless you keep stealing money from the public purse which is what these techbros are doing with their alliance with Trump. Even that model is ultimately not sustainable but they will bleed us and planet dry until they get there (or we get there first with the guillotines).

Can't it be the inverse, API is insanely overpriced because it's targeted at? Not defending AI companies or LLMs, fuck Sam Altman, I just didn't understand why you concluded that the API price is the fair one, and not the other way around?