> Adoption climbed from 32 percent of engineers in February to 84 percent classified as agentic coding users by March. By spring, 95 percent of Uber engineers used artificial intelligence tools monthly, and roughly 70 percent of committed code originated from those tools. About 11 percent of live backend updates were written by agents with no human in the loop, according to Uber's own disclosures.

> The numbers behind the spend are what make the story instructive rather than anecdotal. Monthly cost per engineer ranged from $150 to $250 on average, with power users running between $500 and $2,000.

My guess is that the reason to rethink AI-spend was probably the exponential growth in cost over time, and tokenmaxxing payoff not being immediately obvious as mentioned in the article.

[1] https://www.forbes.com/sites/janakirammsv/2026/05/17/uber-bu...

But on a more serious note, do we know how much Uber spent per technical employee/month? I assume it is far more than even any of those $200 "max ai" plans.

And the other question is how much the public would be willing to spend, in my estimation this is as "cheap" as it will ever get (main-stream at least).

Mutli-color though is where Bambu has a good leg up.

(Diluted) Vision Miner Nano Polymer Adhesive and a good bed leveling probe has done a lot to make my printer set and forget, no matter which print sheets I use.

https://www.mdpi.com/2411-5134/8/6/141

This may be a controversial take, but imo it would be Bambu to set the industry back by a decade if they "win" and lock up the market. That's clearly their strategy afaict.

Does anyone remember Bambu patenting existing open inventions as their own? I can't seem to find good links anymore (?!) but there's some details here https://www.mdpi.com/2411-5134/8/6/141

The Core line of printers seems promising and a big leap towards closing the gap towards Bambu's corexy printers but haven't used one yet and I've been out of the game a little. Bambu though is probably more of a high-end appliance type than Prusas more utilitarian feel.

I suspect that this might be more of a "Mustang body kit" on a Tesla chassis and not retrofitting the Tesla tech into a Mustang chassis + body. Still cool, but maybe misleading.

It also helped build an intuition of what wach model could do and which parts it was weaker at because you could try them almost side by side, especially if one model's output wasn't great.

That said, these were all side projects so nothing truly consequential. Otoh, you might leave some extra perf on the table but I found the models worked quite with the Copilot harness.

That would mean earnings of ~ $1.1T would be required on that investment annually, so maybe on $2T of revenue, capturing 2% of the global GDP - so I'd estimate that GDP would need to go up more like 5-10% to justify this.

[1] https://substackcdn.com/image/fetch/$s_!Gf2t!,f_auto,q_auto:...

Is anyone seeing significant improvements in day-to-day coding use? If so, it would be great to get a glimpse into the use-case (language, application area, complexity) and how the model is "driven"/used.

Comments URL: https://news.ycombinator.com/item?id=46110433

Points: 3

# Comments: 3

when i signed up for billing via cloud console and entered my credit card, i got $300 "free credits".

i haven't thrown a difficult problem at gemini 3 pro it yet, but i'm sure i got to see it in some of the A/B tests in aistudio for a while. i could not tell which model was clearly better, one was always more succinct and i liked its "style" but they usually offered about the same solution.

Comments URL: https://news.ycombinator.com/item?id=45584152

Points: 1

# Comments: 0

Even with our exorbitant energy prices, I pay about 1/3 for the cost of energy per mile (off-peak). I have to go in for service 3 times less often (and just that is worth a pot of gold to me). I no longer need to detour to gas stations once or twice a week as I can just plug in the car at night. And then EVs are also more enjoyable to drive imo.