Claude.ai unavailable and elevated errors on the API

At this point, I would not be surprised if gitHub or anthropic is on the front page again within 10 days for being down.

The uptime with Claude is poor. I use it for workflows more or less 24/7. It is often unreliable. Fine, it is cheap. What I really dislike is the uneven quality of the service. Clearly it does NOT work as stated. Opus 4.7 sometimes give ancient code back. Just the other day it even stated that the latest version of Opus was 4.5 and 4.x something for ChatGPT.

Now we're all being left behind, just great.

The availability of Claude service is terrible :(

Impossible! I heard Mythos is so goooood they can only give it to big corporations because it makes no mistakes and shit.

That's because Claude is on a lunch break and decided to take a short breather.

It's rare in history that a software product can be so unreliable without any negative business impact because it's the category leader and demand only keeps growing.

Reminds me of the early days of World of Warcraft, when servers went down frequently because Blizzard couldn't keep up with all the load. Everyone was frustrated but of course nobody stopped playing.

I read that at first, it says, "Clawed.ai unbelievable." And I thought, "It is, it's a liar."

just tried it, can confirm claude.ai is down.

So there was a recent article that I read which said that claude is now trading at a trillion dollars (yes with a T) evaluation in private markets.

We are definitely creating corporations and people which depend on AI companies themselves and the reliability of these tools is certainly a question worth asking. I am seeing quite many downtimes in products like github and claude being shown on Hackernews multiple times.

Is there a life cycle of enshittenification of such products which grow too valuable? What are (are there?) some practical lessons for such scalability that these trillion dollar companies are missing or is it just a dose of reality that such massive corporations can't compete with downtime with even my 7$/yr vps?

My question is, Is this an engineering roadblock with its limits in reality for or a management/entreprise roadblock for low downtime?

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They can't fix it because the thing that they need to fix it is the thing that doesn't work. /s

But seriously: while I don't use Claude, this issue of perceived unreliability seems to be approaching the point of existential risk for Anthropic. Whats the theory about why they're struggling? Compute capacity? Load? Lack of focus on SRE?

Put it another way: is their downtime due to something fundamental about serving inference, or just bad engineering choices? Given their resources, it seems astonishing.

This cant be right. Software is a solved problem. Boris where are you ?

I think the model is too powerful to stay online /s

Luckly Qwen3.6 35B A3B Local LLM works fine also when Claude is offline