Cloudflare, Azure, AWS, and Google Cloud all have a similar uptick in reported errors around 7:30. I suspect an outage on Cloudflare or another load-bearing service cascaded through all the major cloud providers.
> Not really. The impact isn't as big too - Codex for example did not stop working for me.
Buddy, read the room. Just because it works for you doesn't mean it works for everyone. ESPECIALLY if the suggested issue here is, indeed, with Cloudflare.
Well no one said it yet so I will, "international actors" is at least a possibility. And I don't mean any specific country because pretty much anyone is a potential these days, which makes it a perfect cover for different anyones. Demonstrating vulnerability in the US's AI boom can move the markets. That's a financial incentive and a strong geopolitical one.
More likely just cascading overload though: "Never attribute to malice what can be explained by incompetence", or in this case, "growing as fast as possible"
Everyone is leasing datacenter space from some of Grok, Google, and Amazon aren't they? If it's hardware or DC level disruption I'm not too surprised it can affect multiple providers.
Google stopped putting so much money into SOTA models. All the hype has migrated. I was also frankly turned off when I got a popup from Gemein said I would either have to pay or have my conversations used for training. This may have always been true for other providers but when I declined, Gemini stopped remembering my conversations and that definitely made me move out.
I find it hard to believe that enough people would flock to from Claude and Chat to Grok to cause an outage. I feel like Gemini is the dominant release valve in this case especially for enterprise.
Just a reminder that AI models' actions are reflections of the text humans write and the more we fret and make up doomsday scenarios that we then post online, the more likely a model is to do those things.
The Waluigi Effect: After you train an LLM to satisfy a desirable property, then it's easier to elicit the chatbot into satisfying the exact opposite property.
I assume it cascaded from one provider to the other as people who lost claude access for instance moved to openai who moved to grok when it went down, etc.
Fable 5.1 got released and generally I tend to think as soon as there's a new release there's this massive spike in people benchmarking & comparing, that services tend to go slow everywhere as everything gets super loaded. This should hypothetically be visible on OpenRouter too, so I guess someone could check and see if there's any merit to this idea.
Didn't SpaceX overbuilt infra and leases it out Anthropic? I f their dc goes down it probably takes a chunk out of Claude's capacity before even considering the flood of users switching over
everything in this thread is raw speculation, obv, but if i had to put money on anything i'd say this is a left-pad incident. some piece of something or other that all of these services happen to depend on went down. Second most likely seems to be some random failure of one leading to an unexpected traffic spike in others, though it seems like we've been talking about automated scalability in web apps for so long that there should at least be a response to, if not a solution for, this sort of problem.
https://downdetector.com/status/cloudflare/
https://downdetector.com/status/windows-azure/
https://downdetector.com/status/aws-amazon-web-services/
https://downdetector.com/status/google-cloud/
For one it’s appropriately used.
https://www.cloudflarestatus.com/history?type=incident
https://updog.ai/
Buddy, read the room. Just because it works for you doesn't mean it works for everyone. ESPECIALLY if the suggested issue here is, indeed, with Cloudflare.
More likely just cascading overload though: "Never attribute to malice what can be explained by incompetence", or in this case, "growing as fast as possible"
So not a coincidence, one went down first and users migrated causing further DOS. At least that's my guess.
i also finally installed opencode and switched its model to muse 1.3
both are decent.
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Edit: Updated per valleyer's suggestion.
https://alignment.anthropic.com/2026/teaching-claude-why/
The Waluigi Effect: After you train an LLM to satisfy a desirable property, then it's easier to elicit the chatbot into satisfying the exact opposite property.
https://www.lesswrong.com/posts/D7PumeYTDPfBTp3i7/the-waluig...
I'm also aware that they have overlap in some areas on data centers.
https://xkcd.com/908/
[0] https://www.youtube.com/watch?v=YCzitO446ZY