Earlier quoted context omitted.
A good 80% by volume of the modern vernacular is 4chan language that got sanded down.
Sanding down is how we got goyslop turned into slop.
Slop is a word in its own right which got the goy prefix later in life.
Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
61–70 of 360 posts
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#62At what point is there a difference between a burn rate and tokenmaxxing? Isn't it the same as during the dotcom bubble?
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#63many of these leading AI companies are operating at large losses and subsidizing users with VC money. Profitability will entail having to impose greater limits and raising prices, so this will reduce to some degree the value proposition of AI compared to humans.
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#64It's amazing that it took months to figure this out. "Well we thought that if engineers are told to maximize costs through AI use, to consume as much as possible of a resource that costs us money, then obviously good things will happen. Imagine my surprise when it didn't turn out that way." Imagine if engineers were ranked based on their AWS spend. People allocate VMs and fill databases with terabytes of random bits,…
> It's amazing that it took months to figure this out
We aren’t there yet, so far it is just a COO questioning the investment
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#65Oof leader of bubble are starting to take a step back?
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#66It’s funny that “maxxing” entered the common vocabulary.
I like this too. I have been intentionally -maxxingmaxxing to get the meme out there. It's a good canary to sort out who gets the spicy takes from the pedestrians who probably still copy-paste into the ChatGPT web app like a psychopath.
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#67As soon as tokens stop stop being subsidized, heavy agentic use will become as least as expensive than paying an (entry level) employee. When this happens many companies will trade off havy tolen usage for (maybe a bit slower, bit less accurate) employees again.
DeepSeek is an open weights model. It's possible the hosted versions are subsidized, but we know what it costs to run locally. And it's expensive, but it's also pretty clearly cheaper than an employee. Of course, the latest DeepSeek models are not as good as Claude, but they're not super far off either.
They're not far off, getting the same seamless integration as hosted models is a full time job. I think what just happened is that devops is about to explode. What will naturally follow is local hosting of all the things when people realize subscription costs for cloud-whatever are absurd.
Gitlab is going to take off? This is not investment advice.
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#68I always used to wonder this about software stacks even prior to LLMs, but it seems more relevant now somehow:
When will Uber (or your favourite company) be 'done'? They've been writing software for 16 years.
They match drivers to passengers. More software isn't going to increase the chance that I seek them out instead of taking a bus or train.
Will their software be finished in 20 years? 80?
Re: Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
#69As soon as tokens stop stop being subsidized, heavy agentic use will become as least as expensive than paying an (entry level) employee. When this happens many companies will trade off havy tolen usage for (maybe a bit slower, bit less accurate) employees again.
Maybe this just counts as “light use” since I’m a hobbyist programmer and I only run one coding agent session at a time, but I get about as much done as I did back when I was working while spending a lot of time browsing the Internet, etc.
I’ve spent $10-$20 a day using Claude to write code and closer to $5 a day now that I mostly use Deepseek and GLM, using API pricing (no subscriptions) since I don’t use Claude Code.
This is a rounding error for a company. So I think there’s plenty of room to use AI extensively while being more cost-conscious.