Live data from Hacker News

Uber's $1,500/month AI limit is a useful signal for AI tool pricing

simonwillison.net

161–170 of 819 posts

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#161

> I noted that my own token usage comes to about $1,000/month against each of Anthropic and OpenAI - which currently costs me just $100 per provider thanks to their generous subsidized plans for individual subscribers. Do we know that AI providers are going to keep these per-token prices, or eventually lower them because of competition from China? Many lower-budget individuals are now moving to China open weight mode…

> Do we know that AI providers are going to keep these per-token prices, or eventually lower them because of competition from China? I genuinely do not know how prices can get lower from the current major providers in NA without the whole market collapsing. Everyone is spending copious amounts of money to presumably make more money back.

An inference only platform selling good open weight model inference without the research overhead could capture a-lot of market for lower size model uses (haiky, gemeni flash). Diffusion-transformers and clever cashing can drop inference even lower, which is improving at a high rate.

The biggest reason large models are un-attainable for local applications is the lack hardware with large amount of unified/graphics memory (and the cost of the platforms that do). Once the memory slog goes back to normal and hardware manufacturers adapt to demand, we may see consumer hardware with large memory capacity effectively opening the door for slow but usable frontier model inference (assuming improvements in model efficiency and compute capacity)

At that point, inference becomes a race to the bottom. The large labs hope they can attain a leap in capability (which is increasingly looking bleak, with a average catch-up of just a few months) or market dominance through integration (integration in platforms and OS, exclusive deals with companies or governments).

For coding agents, i suspect no player will manage lock in enough market to enforce pricing much higher than the true inference cost, and catering to programmers becomes an unsustainable proposition. We will instead be further hit with a lot of AI integrated into our other tooling costs, such as GitHub, Microsoft suite, G-suite, forcing in AI functions as a value-ad into the total cost without giving the option to exclude them. (using their market position)

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#162
post #153
post #37

How many more months do we need to wait, until big companies realize that flash models work just fine if you: 1) Don't ask LLMs for big changes 2) Review everything and point them in the right direction Large models still suck at big changes, they produce questionable architecture and you still have to review the code, if your project is serious enough. The codebase quickly become a mess, if you don't pay enough atte…

I wonder to what extent models should figure out which model to forward a query to. Or perhaps the big models could learn the difference between an easy and a hard question and charge accordingly? Perhaps, if it can measure complexity, even generate a quote? Small models are fine for small coding tasks but I don't see why big ones can't be broken down most of the time.

> I wonder to what extent models should figure out which model to forward a query to. Or perhaps the big models could learn the difference between an easy and a hard question and charge accordingly?

This sounds like something a harness could do (and might already be doing), with work delegated to subagents running on lower-cost models.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#163
post #143

Earlier quoted context omitted.

I think companies will eventually just buy a local AI server. Using local hardware is expensive when it's running a complicated software stack that can break in 10,000 different ways. These eventual local AI servers will just talk some protocol for AI and sit in the corner and nobody will think about them. I guess they still might need access to various systems, so idk. Eventually I think someone will offer "AI in a…

I don’t think companies will do that. Why don’t they just buy local on-premise infrastructure even though it’s cheaper than AWS? “AI in a box” sounds a heck of a lot like “the box” from the Silicon Valley TV show. Or the Google search appliance. Or name any other on-premise thing that is equally dinosauric. The real finding of this article is that AI tokens are direct competitors with offshoring. $1,500/month buys yo…

[deleted]

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#164

> I noted that my own token usage comes to about $1,000/month against each of Anthropic and OpenAI - which currently costs me just $100 per provider thanks to their generous subsidized plans for individual subscribers. Do we know that AI providers are going to keep these per-token prices, or eventually lower them because of competition from China? Many lower-budget individuals are now moving to China open weight mode…

One aspect Paul Kedrosky mentioned recently is the concept of „duration mismatch“. The price per token goes down over time (either because the AI vendor reduces due to competition pressure, or because customers are now incentivized to use older cheaper models). But datacenters are financed through debt, with the assumption their revenue increases over time. Quoting him: „[AI vendors are] paying for a fixed cost with a depreciating commodity“[0].

So you have on one end the token revenue trending down, on the other end the training cost going up for the next frontier models, and you need to pay back your 10y debt.

0: https://youtu.be/wGZboZcSGDY?is=64GuKyqBh_4aSjTE

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#165

Earlier quoted context omitted.

> WTF did Uber build with all of that spend? WTF did anyone build with all that spend? Despite all the feel-good anecdotes about how productive folks feel using ai coding tools there's a deafening silence when it comes to actual, demonstrated efficacy. How can we be this far entrenched in these workflows and still not know whether they actually do anything useful?

The real answer? Software engineer quality of life. There can be an increase in productivity without a corresponding increase in total output. The gains could be captured by software engineers doing a days work in an hour then fucking off in a variety of ways.

But that's an inefficient use of dev salary. Y'all are gonna get ground to smooth well-compensated paste.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#166

Why there are so many people that still believe that AI coding is a fad? It's something that started less than two years ago and companies are already paying thousands per seat. I know one that gives you 5k per month. Which other tool went from nothing to this level of acceptance so quickly?

perhaps the personal computer? Companies were spending 3-5k (10-15k inflation adjusted) on every employee for just hardware. everyone making comparisons to the dotcom bubble seems misguided. this is clearly computing 2.0 imo

No disagreement on computing 2.0, but companies spending 3-5k per employee for hardware isn't generally a monthly cost. It's a at the time of hire, and then once every 3 to 5 years after that, for a monthly amortized cost of about $50/employee.

I have my concerns with current inference pricing in that there's a non-zero possibility for a rug pull in the future for the subscription plans for organizations and individuals that can still use them. For now, its only companies larger than ~150 users that need to pay per token, but what if that wasn't the case? Not every company can afford over $1k/month/employee to give them access to AI tooling, further making it harder to compete against the behemoths. If we get to a point where an individual can no longer pay $100/month for nearly unlimited usage and instead must pay per token, that's going to be a problem.

Personal computing eventually became an equalizer (until we started centralizing on mainframes again, aka the cloud) because it got cheap. My hope is that inference also gets just as, if not cheaper.

I have high hopes for local AI and open weight models and we will continue the ethos of local, personal computing and not needing to offload everything to OpenAI/Anthropic/Google, etc. to get work done once the hardware and hardware availability catch up.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#167

Why there are so many people that still believe that AI coding is a fad? It's something that started less than two years ago and companies are already paying thousands per seat. I know one that gives you 5k per month. Which other tool went from nothing to this level of acceptance so quickly?

perhaps the personal computer? Companies were spending 3-5k (10-15k inflation adjusted) on every employee for just hardware. everyone making comparisons to the dotcom bubble seems misguided. this is clearly computing 2.0 imo

Two things can be true at the same time. It can be true that this is here to stay. It can also be true that companies are grossly overvalued right now and that the market is irrationally exuberant. This would mean we could both have a crash and also see AI coding be the new future.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#168
no....the fact that you could buy a reasonably prices MAC or AMD395+ thats AI tool pricing; it loads a big enough model and spits out tokens just fast enough that you can read what it's doing and comprehend it instead of magic.

That's the most useful signal. Pre OpenAI mafia RAM pricing, that comes out to $250/month.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#169

> I noted that my own token usage comes to about $1,000/month against each of Anthropic and OpenAI - which currently costs me just $100 per provider thanks to their generous subsidized plans for individual subscribers. Do we know that AI providers are going to keep these per-token prices, or eventually lower them because of competition from China? Many lower-budget individuals are now moving to China open weight mode…

Raise them, more likely. NVidia says that GPU hardware prices won't decrease until at least 2030. The world is out of fab capacity.

Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing

#170

$1500/mo is $18,000/seat/annum. Maybe Microsoft and Nvidia are on to something. 128 GB machines that can run local LLMs are a bargain even if priced $5-8k. Yes, tok/s is not quite there, but that's probably OK since the bottleneck really isn't the code; it's WTF did Uber build with all of that spend? How did it meaningfully impact their revenue in a positive direction?

You’re way better to run your own on premise models. Laptops are depreciating assets, do not benefit from economy of scale, have fixed specs, result in a fragmented fleet where you need to keep models up to date. Without talking about power consumption and cooling issues. I really don’t see why companies would go that direction
Post reply on HN