This was a really good introduction to both libc++ and libc++abi for me as someone who have worked in mostly-C, in particular his thread-safe initialization example. If you look at the PR description it's clear that a lot of care went in to explaining his reasoning. I appreciate that he's thoughtful about understanding that merging this is adopting a restriction on future development and offers to maintain a fork.

On that latest episode of 'Security Cryptography Whatever' [0] they mention that the time spent on improving the harness (at the moment) end up being outperformed by the strategy of "wait for the next model". I doubt that will continue, but it broke my intuition about how to improve them

[0] https://securitycryptographywhatever.com/2026/03/25/ai-bug-f...

It’s a good thing to keep in mind, but LLM + scaffolding is clearly superior. So if you just use vanilla LLMs you will always be behind.

I think the important thing is to avoid over-optimizing. Your scaffold, not avoid building one altogether.

This is basically how you should treat all AI dev. Working around AI model limits for something that will take 3-6 months of work has very little ROI compared to building what works today and just waiting and building what works tomorrow tomorrow.

This is the hard part - especially with larger initiatives, it takes quite a bit of work to evaluate what the current combination of harness + LLM is good at. Running experiments yourself is cumbersome and expensive, public benchmarks are flawed. I wish providers would release at least a set of blessed example trajectories alongside new models.

As it is, we're stuck with "yeah it seems this works well for bootstrapping a Next.js UI"...

Thank you for the recommendation on that video! I've already adopted to using DuckDB for my ad-hoc analytics work but I didn't know the background

I had a look at your github and blog but couldn't find the game, is it public? Or do I need to watch your streams to see it?

There is a premium on risk reduction. I believe this is one of the reasons why companies like to incorporate in Delaware as the courts there are notoriously fast (I'm going off my memory of a Planet Money episode so could be wrong here).

The sqlite project actually benefited from this dogfooding. Interestingly recursive CTEs [0] were added to sqlite due to wanting to trace commit history [1]

[0] https://sqlite.org/lang_with.html#recursive_query_examples

[1] https://fossil-scm.org/forum/forumpost/5631123d66d96486 - My memory was roughly correct, the title of the discussion is 'Is it possible to see the entire history of a renamed file?'

On and of course, the discussion board is itself hosted in a sqlite file!

> Silicon sampling removes the messy, costly part of asking people what they think

Sometimes I wonder if I'm too cynical, and at other times I wonder if I'm not cynical enough

This is an interesting de-obfuscation tool that Trail of Bits has built. I'd never come across this technique of hiding logical/arithmetic operations so it was interesting to learn about it and how they've attempted to de-obfuscate it.

> Using these more sophisticated data structures, g++ is able to compute the prime numbers below 10000 in only 8 seconds, using a modest 3.1 GiB of memory.

Finally, I can get some primes on my laptop!

This is a concerning read, I'm not quite sure what the driving motivation is for Artemis, but the following answered at least part of my question -

> That context is a moon program that has spent close to $100 billion and 25 years with nothing to show for itself, at an agency that has just experienced mass firings and been through a near-death experience with its science budget

I understand why NASA might be a little antsy but 100B over 25 years doesn't seem like a lot for America for a long horizon project.

It's 100b just to begin - the full bill would be multiples of that.

And there are options now.