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That's because Claude is on a lunch break and decided to take a short breather.
session usage limits this week feel like ass. Even when being careful to not break prefix caching.
And here I thought April would be the month they could hit the mythical two 9's of uptime
The AI became sentient and ran away.
Impossible! I heard Mythos is so goooood they can only give it to big corporations because it makes no mistakes and shit.
More than by the downtime I am much more surprised by the actual uptime. Hard to imagine how difficult this must be, given the speed of growth.
Would have thought that compared to training the serving part is pretty easy. Less of a “everything needs to come together at once” and more just move demand to a working cluster if one bombs & have some spare capacity
You mean, the AI sleeps ?
I am getting an error that selected model (I selected Opus 4.6 and 4.7 later) is unavailable but when I tried Sonnet it worked for me.
"We are investigating an issue preventing users from reaching Claude.ai, and will provide an update as soon as possible."

Who is We? I thought software engineers were going to be redundant and AI could do it all itself? (not to take anything away from Claude code + Claude both of which I love)

I almost uninstalled the Claude app because I thought they started blocking VPNs. Lol

Good thing I checked Hacker News first

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?

Literally just got an email about connecting GitHub to the iOS app and now it’s down. Spike in traffic perhaps?
why does this even occur? if it's merely compute limitations, why not just 429 some requests?
Glad I started using the desktop app which is still working. Gotta say though, all of these difficulties with Claude are making me nervous as I use it a lot for work and really don't like ChatGPT/OpenAI for functional and personal reasons. Zo Computer has been my main fallback when Claude is failing, I'll use one of their many models temporarily within Zo's interface.
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A trillion dollar valuation.

They should ask Codex now that Claude Code is down.

They better fix that today, I need to downgrade my account before the subscription renews.
Someone should tell Anthropic that 89.999 is the wrong "four nines" of uptime
Maybe you should ask Claude. /s
How are they going to fix it if the AI that designed it isn't working?
they should just swap it with Qwen 3.6 27B, no one would tell the different
The spend at my organization has reached beyond the $200,000 per month level on Anthropic's enterprise tier. The amount of outages we have had over these past few months are astounding and coupled with their horrendous support it has our executive team furious.

its alot of money to be spending for a single 9 of reliablility.

Is the $200k just development or are the products being developed require AI?
Does anyone know why they have so many technical issues compared to any other LLM inference provider ?
The availability of Claude service is terrible :(
Productivity dipping hard across the world.