Anthropic Claude and API service outages(status.claude.com) |
Anthropic Claude and API service outages(status.claude.com) |
Then it seems they forgot about their own infrastructure which goes down once every two weeks.
Looks like most of all the engineering knowledge that was needed at Google was lost after the whole org at Anthropic is now vibing their work.
Rather than screaming “coding is solved!”, “AGI with a month” and spooking everyone with the bogus mysticism of “Mythos” which now everyone has an equivalent strong cyber model, maybe keep the lights on first before plotting the next doomsday story.
Sorry, what does Google have to do with Anthropic's outage?
This was said recently lolol
Bedrock has been fine throughout today; just pick two providers and you have much more stable Claude :)
Also, sometimes older models work fine, Opus 4.8/4.6/4.5 are worth trying.
I would go as far as saying they are sometimes better than the newer ones! It is impressive that Opus 5 can one-shot a complex website, but it is very annoying if I only asked it to write tests.
Last week, I asked Sonnet 5 to add one line to the documentation, commit, and push. Ten minutes later, I discovered it embarked on a side quest of exploring my whole Git history, different branches, etc.
If you are a solo developer who has the patience to tinker endlessly, this advice is probably fine.
If you are responsible for provisioning AI services in a team setting, this advice starts to fall apart rapidly. OAI and Anthropic might as well be oil and water when it comes to what tools and descriptions are most ideal.
Swapping the inference provider like it's some interchangeable module is a total fantasy in most real world settings.
> Also, sometimes older models work fine
> sometimes
My users are hoping for slightly more definitive results. "Usually" or even "often" would be much preferred.
I'm not saying that works in every business or billing scenario, though.
Being charitable to Anthropic though: coding is sort of solved for a very limited definition of “solved”.
Software engineering of huge distributed systems at massive scale is very much not solved, and it seems Anthropic don’t have the human capital to do it particularly well
I really want to support Anthropic because of their commitments to effective altruism, but it's getting harder and harder to justify on technical merits. Sol is just faster, cheaper, and more reliable, and as good as Opus for my use cases
If you're really committed to the ideas of EA, shouldn't you dispassionately select whatever model works best for you, then make as much money as possible using that and donate it? :)
That's a downside if anything.
They are doing the opposite while saying the other. Zero trust about that. They are using every malicious playbook tactic these days to increase users and be more profitable and lock-in the users. Even OpenAI feels better these days.
I think you mistook their declamations for commitments.
It's not just the enormous rate of growth, LLMs and workflows are also evolving rapidly.
Whatever they planned for 1-2 years ago in terms of how they expected their stack to be used is probably already well out of date, so they'll be rearchitecting bits of a production system while it's being used
Others think the sheer number of potential sentients in the future justify any amount of suffering tolerated in the here and now.
Notably, people in the latter group never assume THEY will be the ones suffering for the future.
What makes you think so? What evidence do you have?
> Yes, some people think effective altruism means helping people here and now as efficiently as possible.
Most effective altruists seem pretty relaxed about the 'here' part, but you are right that the 'now' part receives different answers from different subgroups.
> Others think the sheer number of potential sentients in the future justify any amount of suffering tolerated in the here and now.
There's also the people who care a lot about shrimp. They are less crazy than it seems at first.
Having your infrastructure at the knife's edge of load to capacity also means you have no redundancy when something fails.
My other guess is they are scheduling training runs and their capacity isolation is bad.
I'm not really sure how they can avoid getting in the news with "Anthropic is down", TBH. Although, at least by throttling they might get "Anthropic is down for some requests" and not "Anthropic is down for all requests".