Language learning is a fun hobby for some people.

this would be amazing, absolutely. Especially if they were able to see specifically where my power comes from, the embedded carbon in the chipsets used to serve my requests, all the costs associated with the datacenter(s), etc. A weekly breakdown would be excellent.

I still don't know if I hate them because they are visually slop, or that the businesses farmed out sign creation to the slop machine

I love them because while not perfect it’s a good way to filter out businesses that don’t have good taste.

All of the above for me.

My browser popped up a modal saying 'Did you mean openai.com? Attackers sometimes mimic sites by making hard-to-see changes to the web address'.

I'd be burned out too if 48k of my comp went to what amounts to a facilities spend. Crazy. You think the models actually give you ROI, or this is a sort of jumping with the lemmings thing your company is doing, and you could probably deliver the same output working in "The Old Way" with another 48k on top your base?

My output is easily 2-3X what it was two years ago. With the introduction of Claude to everyone in the company (HR, finance, marketing, product, dev, etc), so came the expectations of what used to take 2 quarters can now be done in a couple sprints. I would be even more underwater working in "The Old Way" regardless of comp, with how deadlines are being set now. That being said, I don't know how long this will last, I'm not the only 'top talent' at the company facing warning signs of burnout.

Longterm, I believe my total output would be higher working with minimal AI when you consider the impact to motivation and how long I anticipate staying with the company.

>Longterm, I believe my total output would be higher working with minimal AI when you consider the impact to motivation and how long I anticipate staying with the company.

That makes sense. The increased theoretical output certainly makes it tempting to squeeze the developers for all they are and to keep testing how close deadlines can be made. But of course, to what end? A lot of dev work, probably most of it if we are being honest beyond building the initial product-market fit function, doesn't really impact sales at all, and sometimes too much can even hurt sales. And as you say you hit a point where this burns out your talent and makes them seek greener pastures.

Factory sort of thinking towards a job that is not really analogous to a factory anyhow. I'm not saying dev work is one of those 'bullshit jobs', but lets be honest about the job and its role in the business model. Your customers are probably going to be there all the same if you fix the bug today or next month, and you also won't get more customers fixing the bug today vs next month. Feature shipment might be a little different but even then it would take the right feature and the right customer for that one function to really drive the needle in sales compared to being lost in the changelog, and that isn't what a coding model solves for you after all.

That's not really how it works. I'm able to get 5-10x more work done, perhaps more, it's a significant accelerant to those that know how to be productive. The problem is more for those who don't - and we bring them up to speed or help them pivot to other work.

How does that shake out for your company? Are you growing 5-10x in sales? I'd guess not and that is sort of the rub with all this. Yes we can push more frequently to the git repo but that wasn't the limiting factor of scaling the business.

I work across multiple companies, but in general company profits are up across the board. Salaries are not. The larger enterprises are the ones that move the slowest and are the furthest behind. It's not just one thing (productivity), there's all of capitalism at play.

The problem is AI and the internet's leakage into everything else. Marketing copy, prose in public spaces, even books... I really hope that society as a whole accepts that human-written text is more valuable than AI-written.

I thought they are making a profit on API pricing? A quick Google shows somewhere between 50-70% margins on API inference.

API pricing is almost definitely profitable, but at this point I assume it's a small minority of their inference traffic compared to subscription usage, and unlikely to make up for the rest of their expenses on its own.

Why would you assume so when companies 150+ people can only use API pricing? My assumption is that more people use Claude at work than personally.

Maybe I’m misunderstanding you, but if you scroll to the bottom of their [1] link to the Opus 5 announcement, under “Getting started,” it explicitly says:

> Consistent with prior Opus models, Opus 5 does not have data retention requirements for general access.

It's in the article.

I can't find anything about whether this is zero data retention, or falls under their required 30 day retention like Fable and Mythos?

If your company is a certain size or cares about ZDR, you need to be on an Enterprise plan which is API pricing. $300/day here on average.