But any combination of the Claude models are up or down on any given day: https://status.claude.com/
Maybe it is recovering from the weekend a few days ago, but wanted to take an extra day off like it did on Monday, hence the "outage".
Not that I wish to anthropomorphise it in this answer, but businesses have managed just fine when humans do this for "lunch breaks" and "going home for the evening to sleep".
(And even mandatory meetings which should have been emails).
There’s also the fact that they’re known for dogfooding heavily, I imagine that contributes to it a lot.
They’re losing money on you at that price point.
Or more precisely you’re paying for it by giving them training data.
...and let's be realistic, it'll be both.
If you think $100 is that much and get very high expectations from it, you're not the target customer. You're a loss leader to Anthropic, and the fact that you don't see that / still have high expectations means your expectations are unrealistic.
For an entire productivity suite including mail, meetings and terabytes of backed up redundant storage with nearly no bandwidth limitations it's like $35/m for even the most expensive option.
Whether Anthropic makes money from the $100 subscriptions or not, is their problem.
Either your current customers or your potential future customers are going to be unhappy so long as compute resources are finite. Take your pick.
Is it though? Claude's reliability is now at an all-time low of 98.7%. It's not a stretch to think that large companies will have second doubts about about adopting claude for their production environments.
what? they already have, they aren't releasing mythos except to a limited pre-approved customer base who is practically begging them to take their money. they can do that for lower tier models and at this point they should.
Their main competitor OpenAI has much better uptime and more generous usage limits.
If it’s as good as they say, why can’t it figure out how to not go down every day?
How can people rely on it for their job if it goes down everyday? Maybe they shouldn’t rely on it.
If it’s supposed to be such a good engineer, why should it have the same scaling issues as Twitter did 20 years ago with 20 years of lessons learned and 20 years of development for more modern and scalable infrastructures? Shouldn’t it know all the tricks to scale and have redundancy to keep availability high? Does it not know the demands?
When expectations are out of line with reality, there will be snark when things fail. Those expectations have been force fed to us by these AI companies for years now, so I don’t have much sympathy or patience to offer them. They created these expectations of their platforms and if they can’t live up to them, then maybe it’s time for recalibrate the public image of what AI really is and what it can do… and what its limitations are.
Suddenly the fleshy meat sacks who used to do all this work, just slower, who have persistent memory, who get better and more experienced over time, who only require a few bananas to power their brains start looking like the more reliable option again.
The only reason these chat bots exist is because the upper crust don’t want to pay us to live properly, not because the robots can do it better, they just want to pay as little as possible.
There seems to be a mass anxiety around the job market even. I‘ve seen a lot of social media content, including videos of people giving advice, especially to younger tech workers.
The most dangerous (psychologically, socially, economically) are people in important positions, who understand just enough to see some of its usefulness, but not enough to assess where its assumptions and guarantees actually are.
Even moreso if they see workers as a mere cost center instead of an asset.
But here is my perhaps naive, hopefully brave prediction: the real winners of this shake up are not decided yet, and neither bean counting nor superficial engagement with the topic will be sufficient or even useful.
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After all it's so dangerous.
I am using Claude constantly, multiple agents, around 8-10hrs a day, 5 or 6 days a week, and I'm never anywhere need my limit.
And the recent “Investigating usage limits hitting faster than expected” [1] is probably them intentionally gauging how much they can push it without too much of an uproar.
[1] https://www.reddit.com/r/ClaudeAI/comments/1s7zgj0/investiga...
Current phase of usage/pricing is just testing the waters. Especially considering they are the market leader in this category.
Did you already try tools that can help to reduce token usage cost so you can get more prompts in within your same plan? Some great ones are
https://github.com/gglucass/headroom-desktop
> From March 13, 2026 through March 28, 2026, your five-hour usage is doubled during off-peak hours (outside 8 AM-2 PM ET / 5-11 AM PT / 12-6 PM GMT) on weekdays). Usage remains unchanged from 8 AM-2 PM ET / 5-11 AM PT / 12-6 PM GMT on weekdays. Source: https://support.claude.com/en/articles/14063676-claude-march...
I get that they barely have the infrastructure to run their models at scale even when absolutely nothing goes wrong in any of it, but holy shit does it suck to be on the receiving end of that.
Makes me wonder where all the "bubble" talk is even coming from when we have a top 3 provider getting fucked over on every day of the week that ends in Y because of its inability to online compute faster than the inference demand grows.
(though Copilot is working :) and OpenCode)
capnsketch•1h ago
kubb•1h ago
menno-dot-ai•59m ago
kubb•55m ago
tristanj•42m ago
Plus, they do not want to overbuild computer, like what OpenAI is doing.