Earlier quoted context omitted.
This is tricky since it can and will ignore your md directions. When possible I try to lean on tool call hooks or skills that invoke deterministic scripts. As much as you can remove the "choice" the better though still there's a lot of randomness in how reliably it invokes skills ime.
Hooks are incredibly underused by most people and are the easiest way to establish a first line of defense against bad behavior. Things like blocking tool calls that will read .env file or execute "create or replace table".
Uber's $1,500/month AI limit is a useful signal for AI tool pricing
781–790 of 819 posts
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#782Earlier quoted context omitted.
Don't know why people keep parroting this, this is incorrect. Chinese electricity prices are equal or slightly cheaper then most of North America. But significant pockets such as those around the Quebec or other hydro plants are significantly cheaper then Chinese power pricing. Not only that, China may subsidize AI, but so does the US.
Okay interesting. I presume that China also has low cost areas too no? Their grid at least seems more stable. Datacenter construction is more likely to raise prices in the US than there.
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#783Earlier quoted context omitted.
You're using the future tense, but all of those things already exist. Google exists, Amazon Bedrock exists, DeepSeek's cloud product exists, etc. etc. But this isn't relevant to what the post you are replying to said, which is that "cloud-based, metered AI being a dominant work mode [is a] fad". Since all of those things are cloud-based, metered AI.
I was talking more about on-premises, on private cloud and on-device stuff, as I said. If you look at what Uber is spending per developer per month, they clearly have some headroom to consider whether more-local, unmetered AI tools on device, on premises, in private cloud, can be cost-effectively used to cut down how much money they are pouring into Anthropic and OpenAI. Not least because a bit of centralised effort…
Where I would expect to see people invest in local models is in cases where a company has regulatory requirements to keep data local, or where they're doing some specialized kind of work. Neither of those really apply to Uber. In 2026, it would absolutely be irresponsible for a taxi company to try to build a better Claude than Claude.
Now what this looks like 5 or 10 years from now, it's hard to say. A lot will depend on whether China keeps releasing open weight models and whether people can still run those open weight models on commercially available hardware.
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#784Earlier quoted context omitted.
Poor people! Thinking takes calories
This is funny, i get it; but the idea that using LLM's precludes thinking is silly. We're doing some heavy lifting over here. There's a lot of noise around pie in the sky ai show n tell projects, but then there's quieter real work being done as well, with highly skilled engineers. 100x is a thing.
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#785> 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…
I really don’t get it - why not put a Mac Studio with 128gb of ram on every engineers desk and be like “engineer, engineer your local LLM”. Makes no sense to be spending $20-30,000+ per year on cloud providers when Qwen et al are available. And even less sense to be sending all your company code and data to Anthropic and OpenAI when you can keep all that IP in the building.
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#786Earlier quoted context omitted.
I was talking more about on-premises, on private cloud and on-device stuff, as I said. If you look at what Uber is spending per developer per month, they clearly have some headroom to consider whether more-local, unmetered AI tools on device, on premises, in private cloud, can be cost-effectively used to cut down how much money they are pouring into Anthropic and OpenAI. Not least because a bit of centralised effort…
Uber's not really a good example because they deliberately incentivized their engineers to spend as many tokens as possible, which was silly. But even assuming that every developer uses the full $1,500 a month of tokens that they are now allowing, that's actually not a lot of money relative to the cost of a single developer for them. It's less than 1/10 of a junior engineer's fully loaded salary. Where I would expect…
Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#787Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#788Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#789Re: Uber's $1,500/month AI limit is a useful signal for AI tool pricing
#790Earlier quoted context omitted.
I believe you might be replying to a bot account.
What makes it look like one? All their dead comments read pretty normal to me.
Some of the signs in comment history:
1. Multiple uses of the notorious HN bot phrase “X is real” e.g “The tradeoff is real” Spam bot replies love that, at this point if I read that phrase on HN I immediately become suspicious. Also, ending a comment with an open ended question or random caveat/concern/qualifier too frequently.
2. Rapid fire commenting. Most new HN accounts run by actual people usually ease into commenting regularly after their first comment, spam bots go from 0-100 suddenly replying with detailed, uncannily on-topic comments 1-3x per day
3. Unnaturally on-topic but uncanny valley comments. Humans typically respond to an idiosyncratic idea of what the topic of a discussion is, but bots typically respond with a perfectly responsive summary and/or personal experience.
As for uncanny valley, this is the big one that caught my eye:
> Love this approach. SQLite's WAL mode + litestream backup handles most durability needs beautifully. The simplicity of keeping state in a single file you can query with SQL is underrated. Going to try this for our next side project.
It’s just … bizarre haha. It’s replying with what is pretty much the most basic, fundamental description of what SQLite is, with zero actual opinion/experience/commentary.It’s like responding to an article about PepsiCo Q2 Earnings with “Great read - my family of four enjoys drinking Pepsi products, the carbonation and various flavor choices are a big plus compared to other brands”. If it wasn’t a bot it would have to be someone ineptly karma farming, and either is trash deserving of the flags it got.
Plus, the initial comment in this thread while not enough evidence on its own is already suspicious because it’s confidently stating an anecdote about billing that just doesn’t really make sense as if it’s a super common way tokens are billed.
It could be true in their unique case but it’s just weird and presented like it’s common knowledge so comes across either as a human pretending to have experience or a bot slightly off target.
But it’s not enough without the full comment history, and even without a giant smoking gun having seen a lot of bot comment histories it fits the pattern closely enough in most ways to agree with the other commenter (and the flags/HN shadowbanning) that they are a LLM bot.