A company located at 1500 Pennsylvania Ave perhaps???
Some company got charged the stupid tax.
How is this news?
This sounds like a perfect example of news. Companies fucking up is news. Why wouldn’t it be?
I took a shit today. Should that be news too?
If your bowel movements have as much impact on as many people and things as a company mismanaging $500,000,000, then yes, call a news reporter.
If it completely blocked the doorway, yes.
Why would this not be news? Is it perhaps because it conveys a message which you are opposed to?
It’s not news because it is a regular occurrence.
And of course I’m against that. Everyone should be. Aren’t you?
I feel like this is fake company and they are spreading this to cook the books.
If it isn’t a fake company I’d be shocked. It’s not like there’s a whole lot of external accountability in the entire business model.
considering i read a good article about axios editors inside trading the iran war, this makes sense it appears axios is the source of this https://www.axios.com/2026/05/28/ai-spending-roi-enterprise-costs, article about axios https://www.salon.com/2026/05/09/axios-accused-of-market-manipulation-with-iran-reporting/
“Sorry Shareholders. We have $500M in bad debt to Anthropic. So now we’re liquidating and your shares are worthless.”
I’m sure they will sweep stuff like this under the rug, for now… This is not the first, nor the last company this will happen to.
Then lays off half it’s workforce to save costs and relies on AI to make up the difference.
That’s the beauty of it - the $500 million they spent on AI already made up the difference. Their products and processes have ascended to perfection. As soon as the damn customers get their acts together and start buying in, everything will be fine. ( /Sarcasm and/or accurate portrayal of a CEO presentation to their shareholders happening right now.)
> Be a corporate executive
> Tell your employees to use more AI in their worlflows
> Punish employees who don’t use enough AI, while rewarding those who use it the most, irrespective of actual outcomes
> Be shocked when your company blows through an absurd amount of tokens in one month
and the RECORD profits after laying people off and says its due to AI increasing that profit, rinse repeat.
Don’t know why bosses are universally this out of touch in literally every single industry
Because this system rewards incompetence as long as it comes with dark triad traits and a heaping dose of nepotism.
I’m really jealous of these types of guys’ ability to lie without feeling anything. If I lied like that, I’d be embarrassed because my words sounded like bullshit. How do they do it?
It’s probably a lot easier when they have themselves fooled as hard as any other
See, I don’t know! I used to think that too! But then I actually met some people like this, and a lot of them absolutely do not believe the shit they say! They’re just really good at convincing other people that they do.
Well there’s the dark triad in action
I once knew a local “activist” who frequently weaponized leftist language in order to police or punish other people. Ie, accusing people of racism for ordering an Asian Chicken Salad at a fast food place, or for trying to learn Spanish at the community college, and she would phrase her criticisms in such a way that any complaint would make the other person seem wrong. I legitimately thought she was just mentally ill.
I found out later that she was trying to blackmail and defraud a local charity, and that’s when our association ended. She has been banned form some community organizing spaces because she inserts herself into every single one of them.
Cocaine helps with that
Damn
The paradox of promotions based on performance in a previous roll is that you end up with incompetent managers unable to move upwards anymore.
Sure it’s hella expensive if you put zero thought into what you’re actually doing.
These days companies have leaderboards to see who used the most so they actually think of ways to use the most.
I wonder if their leaderboards have an AI-generated cartoon of a baby polar bear on a barbecue grill.
They got exactly what they asked for I’m sure (use AI or you’re fired)!
Damn, everyone used AI (shocked Pikachu face)!
I think a lot of SaaS companies love it when people accidentally overuse their services.
I’d guess Meta.
Mystery company as in a totally fabricated company?
When you owe Claude half a million, you’ve got a problem.
When you owe Claude half a billion, Anthropic has a problem
It’s probably Amazon. They can absolutely afford it.
Most companies can’t eat a half billion dollar loss so who ends up paying this? AI queries burn actual energy so the AI company would have to charge I would think.
I’ll cover it, but only this once. Let’s not make this a habit.
Most companies can’t eat a half billion dollar loss so who ends up paying this?
Taxpaying proles will foot the bill somehow.
Microsoft recently said that they were revoking Claude Code access for employees in favour of GitHub Copilot CLI, wonder if it was them lol
You can still use Claude in copilot
Yes, but can Microslop Employees?
Just to make things clear: API access to most models is charged per input tokens + output tokens. It means that the longer your conversation is, the more you pay for every new answer. Single prompt with no context and 100 tokens of answer is cheap. Single prompt with 100k tokens of context and 100 tokens of answer is NOT cheap.
Extremely long conversations with most expensive top of the line models can absolutely demolish your budget.
does it give the full history to the LLM each time?
Last time I tried implementing something like this, it suggested to have a rolling window of history so that it takes into account your last X messages but not the entire conversation.
(I guess this is what ollama calls “context length”?)
You send the entire history for that conversation every time and likely more if its getting info from tools. If its not in the context the model dose not see it unless you have a memory system that dose something like feeding in summaries of past conversations that also takes up tokens and context. Rolling drops old messages to not reach context limits but you can lose important info or get odd results. If the history gets bigger than the context things break or slow way down.
presumably this is why Claude periodically writes its conclusions so far into a text file that it can read later instead of having to remember everything. Sounds like an interesting approach.
Most agent harnesses do something called “compaction.” For example, here’s how Pi does compaction
does it give the full history to the LLM each time?
It’s limited to the context size supported by given model. You can give the model 100k tokens of history but if it’s configured for less, it will just truncate it before processing (usually by removing oldest tokens first)
Good news for tokenmaxxers: frontier models now have 1M context
Easy way to blow through ridiculous amounts of tokens.
