cobolcomesback
It’s not just Airbnb the company that moved away from it, it’s the Airbnb hosts that moved away from it as soon as opportunists started becoming mega landlords renting out ikea-furnished party houses. It hasn’t been the original “person with a spare room for a weekend” Airbnb in a long, long time.
But they had _two months_ to figure out how to overcome them. For them to not have figured out a solution and have pre-built images ready to push as soon as the embargo lifted is ridiculous.
AWS has always guaranteed that different AZs are physically separate sites, but that hasn’t always been the case with GCP.
IAM is usually the culprit when us-east-1 issues affect other regions, but Lambda runs independently in every region.
Every thing you listed works out of the box. Believe it or not, it’s true! And creating tools like this is only going to get easier as LLM models progress.
Your comment very much reminds me of comments from 2023 saying that LLMs would never be able to write working code, or be able to generate lifelike pictures, or be able to find security issues… but look around you, they’re doing all of those things already!
> I'm not sure I follow this line of thinking. Obviously, juggler is the result of an author who has spent a great deal amount of time thinking about an idea.
Awesome! That’s why I asked the author why they wanted attention. I want to hear more about those ideas behind juggler. What makes it special? Why does the author (who has tons of experience in software) think juggler is different? What were the obstacles that the author overcame while building it? That’s what I want to know, but these comments share none of that. Instead they just say “I also built a tool that does the same thing, I wish people would use my tool instead.” Why in the world would I?
I’m not exaggerating when I say all I had to do was prompt “build me an LLM coding harness like Claude code, but make it so that I can resume sessions from OpenCode and Pi as well” and that’s it, and it was done within an hour.
Did it have warts? It’s been working nearly flawlessly, but there have been a couple of really minor things. One of the things I realized quickly was that it didn’t have a WebFetch tool built in, so I prompted “add a webfetch tool” and it did it within 5 minutes. Warts are trivially fixed.
The things that really differentiate software now are the ideas behind them, not the implementation. So if (like the OP) you’re looking at a tool and going “well mine does that too…”, so what? If it’s just a re-implementation of the same ideas, anyone can recreate it (and add on their own customizations to boot).
Personally, I am getting frustrated with the amount of people trying to pitch me their tool they made. Tools are a dime a dozen. Share with me your ideas, and I’ll share with you mine, but I’m not gonna adopt your tool.
The reason there is so much noise in is area is because these tools are a dime a dozen and trivial to create with AI. I don’t think it realistic anymore to expect a rush of users and make money off of these. The supply is going to far outstrip the demand.
Last Saturday I asked Claude to create a Claude Code clone for me with a few customizations that I personally prefer. It did so in less than an hour, and works just as well as Claude Code. I’m not looking for attention on it - I’m happy I made it, and just myself as a user is gratification enough. I think this is the future of software development, and I think having expectations of attention from others just because you made another tool is setting yourself up for disappointment.
It’s like you didn’t even read my comment.
With that said, I’ll somewhat disagree with you. I’ve been down the path you’re talking about and while it is incredibly flexible and powerful, it became too difficult to maintain, and too inconsistent between workflow runs, and a pretty hefty waste of tokens to use AI on things that could instead be handled by deterministic scripts. I ended up creating an orchestrator for myself that uses skills as the primary way to tell agents how to execute a step in a workflow, but also directly orchestrates running scripts and managing state in a deterministic way rather than leaving it all up to agents.
“AI as a chat bot” has always been cool and fun in sci-fi movies, but it’s the least imaginative real world use for it. We need to move past it.
> $ Siri 'List the files in this folder'
Why in the world would I ever use this instead of just ‘ls’?
If you post slop, you should expect slop replies.
It’s like people claiming that Alexa is listening to their conversations to spy on them… when the reality is much worse. Every website you visit and app you download is spying on every single action you take, and they’ve gotten so good at it that they don’t need to listen to your conversations. They already know stuff about you without you even saying it out loud.
Nevermind the fact that the examples in OpenAI’s blog post are examples of creating images that have no plausible purpose other than to fake stuff that didn’t happen.
But yea sure, it’s all just “for fun”. Sure.
What is the point of having a fake picture of your dog in a costume? What’s the point of having a fake picture about being at a party?
The only use case I can think of for this is for someone who likes to make up stories and lie about what they’ve done. Is that really the target market?
Also worth noting that a very loose definition of data center is used here that doesn’t fit the current colloquial usage of the term. One of the “data centers” listed in the middle of Austin, for example, is barely the size of a house and is actually just the switching infrastructure for a radio tower. Not every dot on this map is an energy-guzzling hyperscaler boogie man.
Read the room Anthropic. Maybe don’t use AI to reply to a thread complaining about how AI output is hard to read.
It’s funny how trends like this are a circle sometimes.
It is folly to assume that most companies don’t have similar weaknesses somewhere in their stacks. In the past, they were just sufficiently buried that they would get noticed and fixed before an attacker found them. With AI able to probe at thousands of these potential weaknesses per second… that’s not so true anymore.
This is just one of the popular ones, but there were also tens of posts about it with only 1-10 comments: https://news.ycombinator.com/item?id=47641788
Here’s another popular one: https://news.ycombinator.com/item?id=47632503
The reason it’s not really news this week is because both the Bahrain and the Dubai regions have been effectively non-operational for the last 4 months, so the IRGC saying they destroyed an already-destroyed region is less newsworthy.
So I’m not sure the EU law is really working.
Ever since the Mythos announcement it’s been clear that we’re heading towards a future where SOTA models are no longer available to the average person, and not only cost more, but also require payment in the form of use case verification and data sharing. OpenAI’s 5.5-Cyber model requires the same, so it’s not just Anthropic.
We’re unhappy with this because we’ve all gotten used to being able to play with the new shiny model as soon as it’s available, but what I’m seeing in this thread about Anthropic being “stupid” is emotion-based wishful thinking.