> is fable that good?

In my experience it’s not, the only difference I noticed between it and Opus was its taking much more time to respond.

First time I hear about Burr, curious why it was incubated in Apache.

Why wouldn't it? The ASF has a long history of incubating new FOSS projects. Some graduate and become household names. Others fail and end up in the attic. The ASF can provide organisational support and generally fosters good communities.

My point was this is a crowded market now, why would they pick a platform that is not known? I did search HN and this platform was only shown once 2 years ago, and from their releases, they are still 0.42 after two years.

It might sounded that I’m against the move, but I’m just curious as what apache found in the platform to get incubated

Cause I submitted it. Learning the Apache process and cranking on other things has been a slow process. But we've got some momentum and beginning more regular releases.

> Is 20x the token cost worth it there?

No it doesn’t and will not be. Companies have not realised the cost yet, wait till the end of the financial year and you’ll see a different direction.

DeepSeek v4 is pretty decent, and probably on par with sonnet. I see a future of hybrid models where opus or fable might be used only for complicated features or bugs, but general day to day would be DeepSeek or whatever good models that will be released later.

1k TPS is great, but I’m more fascinated by the amount of AI generated comments in this thread!

Comments at 1,000 TPS is a terrifying future.

I prefer a thousand smart AI comments to a thousand dumb human comments

Well, you can just vibecode a complete AI echochamber version of HN!

Like what?

There are many with subtle tells.

Not nearly as obvious as the ones from 6 months ago, but seems to be more the use of hyperbolic phrasing in a particularly unnatural way.

The assess/explain, then hyperbole at the end kind of structure.

Top comment looks suspicious from this perspective, but it's kind of a losing battle to be able to differentiate them with sufficient accuracy anyway

This is very reminiscent of the "everyone's a Russian bot" era of social media, where everyone would just lob that accusation at people without any real proof.

There is no way to prove, but what is definitely true is that many people are attempting to use LLMs on forums and otherwise.

So if you think none of these comments are written by LLMs, you're probably mistaken too.

In the end we accept that we can't tell anymore and move on (barring some biometric protocol that can't be gamed via automation)

The article does not put things in context. Raising $7 Billion to continue innovating and serving a frontier model is not that much when you compare that Anthropic and Google are paying $1B per month for X data centre just to cope with inference demand.

Congrats on launch. I have experienced these issues first hand with `Open Finance` a few years ago.

I feel that you'll end up being an automation agency (you mentioned UiPath), companies who have the skills and capacity to build, will not need your service. But those who want the full service, you might fill a gap.

I wish you all the best.

thanks for the kind words! We have been seeing this pattern of customers wanting full service since we launch. Let's see how it goes!

I might have a different take, I’m happy with this price per token so only those who’re using it for value would use for what they want.

There are so many useless cases such as people bragging about their token consumption that has no product and no value add, or those with OpenClaw doing useless automation that could be a Python script.

Agree on the point of that the shortage of tokens is causing a bit more responsible behavior with it comes to AI use, which is not necessarily a bad thing. The scarcity is a bit sad for solo-devs, but there's also hope this may encourage less slop and more thoughtful use of the tools while society adjusts.

There was an interesting discussion with creator of PI how even if LLMs are producing less errors than humans, they are producing them 10x faster and issues can compound a lot faster too. Introducing intentional breaks, even if by necessity, can help with that and not taking shortcuts that can be solved by throwing millions of tokens at any problem.

Which part that makes them look bigger than they are? Which services are larger than stripe?

Paying $5 a month for Digital Ocean or Hetzner will save you from the pain of using any of these cloud platform for just a simple VM.

Thanks, will do some research on those two as well as the above, I appreciate the help.

+1 Even though the startup didn’t work out (solo founder), I learned in 1.5 what I wouldn’t learn in 10 years.