Recent submissions

Comment · 1 day ago
Comment · 16 days ago
Maybe read TFA...

  > Fortunately, OpenAI has brought us one step closer to realizing Borges’s vision. Rather than generating every possible mathematical paper, they’ve found a way to probabilistically generate things that look correct.
Or at least ask your favorite LLM to read it, then give it your knee-jerk comment and ask it to check if it's already covered on the text. This saves you from wasting time using your own brain.
Comment · 17 days ago
And still in no way warrants tens of thousands of pushes. These all overlap pretty broadly
Comment · 17 days ago
Yeah that's all the same thing
Comment · 17 days ago
Scaling what exactly? Anthropic doesn't release any new products except models. I'm sure you don't need tens of thousands of pushes every day to train models. Scaling fast is so far just their words, nothing else indicates it.
Comment · 18 days ago
And how is this different than perforce?

What is all this code being used for? I'm 100% sure it's not going into their harness which has been stagnant.

Comment · 18 days ago
Ha
Comment · 18 days ago
Why would they? They would stand to profit since anthropic would have to take theor market share by doing the same for cheaper.
Comment · 18 days ago
A company with (I'm guessing) less than 2500 developers need to make tens of thousands of merges every day? And they somehow had a team of 7 Claude baby sitters handle this entire thing? I use Claude everyday and I'm predicting this will turn into a major clusterfuck in not too long. Even taking into account the fact that they can burn virtually infinite tokens internally, this will not end well. If I'm wrong, I'll be glad.

  > Engineers are no less valuable, but their work is changing. All of the engineers who worked on this system would now rate Claude as better at writing code than them. But our engineers still supplied the invaluable understanding of the high-level inter-system components and the design-level tradeoffs, making informed choices around the problems we wanted to solve and the scale we knew we needed to achieve. Very often, we found that the role of the engineers was to tell Claude “no.” Agents will sometimes violate core system constraints to satisfy a pattern that should never have been allowed in the first place.
Well that's exactly what "writing" code always meant? It was never about what volume of code you can write. Better at writing code always meant better at writing good code... So how is Claude better than their engineers?

It's incredibly short-sighted to acknowledge that the baby sitters haf to tell Claude no and still not consider what subtle and nasty bugs managed to slip through. Well I guess we'll find out soon enough if that's the case. I'm betting when that's the case.

Comment · 18 days ago
Unless you have a reasonable argument why a random AI would be trained on Microsoft's proprietary code, I don't see what you're basing any of this on. If you need the definition of clean room, go to Wikipedia.
Comment · 19 days ago
Great ad for GLM 5.3 I have been an absolute buffoon paying for anthropic's stunted model s when I can access their same accessibility and more for cheaper. I'm switching
Comment · 20 days ago
Is Microsoft selling the code of its proprietary products for AI trainings? Definitely news to me
Comment · 24 days ago
Summary at the end is definitely an anti pattern too
Comment · 1 month ago
How many token/s do you get with that setup?
Comment · 1 month ago
It's a lot of different parts, the workflow itself is pretty straightforward. It is also all archlinux oriented because that's what I use everywhere. I'll try and clean it up over the weekend and make it available somehow. Where can I reach you once that's done?

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