Oh, that looks very interesting. I'd definitely have use for this. I tend to manage several aws or ssh configs per customers and it's not always easy to deal with. This could lead to a nice separation.

Nice talk about what's new about C++23. Claims to cover only four features but uses nice presenter tricks so that you also take a quick peek at other features.

A very simple flight model which seems to do wonders.

For all the conversations about how chat GPT might displace jobs, there's a big untold: how much of copyright is violated in the process? It's also very concerning about how much data it collects when interacted with.

This is a cool encoding I find. Might come in useful sometimes.

This is clearly a dangerous pitfall in the asyncio API.

The article is a bit confused about what is really about SPAs in general or React in particular. Still it is clear they raise questions regarding accessibility and navigation. In turn, this requires a lot of careful implementation to make sure the user experience is acceptable.

This can indeed quickly become a problem. This slows down everything and can bring with ot a silent killer: context switching. It is avoidable though, there are good strategies to prevent WIP to go out of control.

I very much agree with this. It is a real concern with our industry, we seem indeed to keep reinventing the wheel a lot. How do we stop forgetting? How do we move forward?

Looks very interesting, I guess I will switch some of my devices to using this and we'll see how it goes.

Or why you can't trust large language model for any fact or knowledge related tasks...

Interesting post with a good perspective on big data projects over time. It confirms that most people don't fall in the big data bucket, it's likely less than a percent of the projects which would qualify.

Early days but could become an interesting alternative to Lua for an embedded scripting language in some projects.

Very good essay on why we shouldn't look down on the Luddite. They had plenty of their questioning right and it's actually pervasive now. We use the term as libel only because back then they lost...

This is a big milestone reached for that project. Let's hope it'll drive adoption up.

It's limits and biases are well documented. But, what about the ideologies of the people behind those models? What can it tell us about their aims behind those models? Questions worth exploring in my opinion.

Interesting work, trying to get back to the source material used by a generative model. This is definitely necessary as well.

Good explanation about how sampling works. Does a good job explaining why it shines and where it is limited.

This is lesser known and probably should stay obscure... don't do that at home kids. Those alternative operators (more like tokens really) don't help with readability at all and make not much sense with UTF8 code bases.

Looks like a young but interesting tool to assess the power consumption of a service. There's been quite some work in this domain on the client side, not so much on the server side. This is welcome.