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Elevated errors across many models

status.claude.com

61–70 of 170 posts

Re: Elevated errors across many models

#61
post #58

Hello, I'm one of the engineers who worked on the incident. We have mitigated the incident as of 14:43 PT / 22:43 UTC. Sorry for the trouble.

Can you divulge more on the issue?

Only curious as a developer and dev op. It's all quite interesting where and how things go wrong especially with large deployments like Anthropic.

Re: Elevated errors across many models

#62
post #32

Earlier quoted context omitted.

I think we’re all very happy with the pricing on it.

I use it as much as my brain can handle and I never exceed my Max plan quota.

Exactly I feel like my brain burns out after a few days. Like Im the limit already (yet im the maximizer also) its a very weird feeling

Re: Elevated errors across many models

#63
post #32

Earlier quoted context omitted.

I think we’re all very happy with the pricing on it.

I use it as much as my brain can handle and I never exceed my Max plan quota.

Just a warning for those not on the max plan; if you pay by the token or have the lower tier plans you can easily blow through $100s or cap your plan in under an hour. The rates for paying by the token are insane and the scaling from pro to max is also pretty crazy.

They made pro have many times more value than paying per token and then they made max again have 25x more tokens than pro on the $200 plan.

It’s a bit like being offered rice at $1 per grain (pay per token) or a tiny bag of rice for $20 (pro) or a truck load for $200. That’s the pricing structure right now.

So while i agree you can’t easily exceed the quota on the big plans it’s a little crazy how they’ve tiered pricing. I hope no one out there’s paying per token!

Re: Elevated errors across many models

#64

I’m imagining a steampunk dystopia in 50 years: “all world production stopped, LLM hosting went down. The market is in free-fall. Sam, are you there?” Man that cracks me up.

The nice thing is unlike Cloudflare or AWS you can actually host good LLMs locally. I see a future where a non-trivial percentage of devs have an expensive workstation that runs all of the AI locally.

That's the only future of open source that I can see.

Re: Elevated errors across many models

#65
post #28

Earlier quoted context omitted.

Just a few more credits and it will finally fix that bug without introducing new ones, exactly how I asked

I can stop any time I want, and in fact I am going to stop. Just one more (bug)fix.

This joke is getting old kinda Opus4.5 handles all the bugs in one go and also doesn’t introduce new ones at least for me. Very rarely i get stuck with it like i did with past generations of AI

Re: Elevated errors across many models

#67

Earlier quoted context omitted.

The nice thing is unlike Cloudflare or AWS you can actually host good LLMs locally. I see a future where a non-trivial percentage of devs have an expensive workstation that runs all of the AI locally.

What's the best you can do hosting an LLM locally for under $X dollars. Let's say $5000. Is there a reference guide online for this? Is there a straight answer or does it depend? I've looked at Nvidia spark and high end professional GPUs but they all seem to have serious drawbacks.

https://www.reddit.com/r/LocalLLaMA/

Re: Elevated errors across many models

#68
post #58

Hello, I'm one of the engineers who worked on the incident. We have mitigated the incident as of 14:43 PT / 22:43 UTC. Sorry for the trouble.

Can you divulge more on the issue? Only curious as a developer and dev op. It's all quite interesting where and how things go wrong especially with large deployments like Anthropic.

I yearn for the nitty gritty details too

Re: Elevated errors across many models

#69

Props to them for actually updating their status page as issues are happening rather than hours later. I was working with claude code and hit an API error, checked the status page and sure enough there was an outage. This should be a given for any service that others rely on, but sadly this is seldom the case.

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