The problem is podman in the apt repos are very old. Last time I checked, Podman was on v5, where debian was on v2 something.
Must have been ages ago, even stable now has 5.4: https://packages.debian.org/search?searchon=names&suite=all&...
Readit Newssaint_yossarian commented on Using Podman, Compose and BuildKit emersion.fr/blog/2025/usi... · Posted by u/LaSombra
I would have to go searching and can’t be bothered. But there was a guy on Twitter earlier this year who said he had been wanting to create his own programming language for years and with AI he’s been doing it finally. I cannot for the life of me remember what it was called.
You're probably thinking of https://github.com/ghuntley/cursed. It... certainly seems to live up to its name.
I've ridden just under 1,000 miles in autonmous (no scare quotes) Waymos, so it's strange to see someone letting Tesla's abject failure inform their opinions on how much progress AVs have made.
Tesla that got fired as a customer by Mobileye for abusing their L2 tech is your yardstick?
Anyways, Waymo's DC launch is next year, I wonder what the new goalpost will be.
How many of those rides required human intervention by Waymo's remote operators? From what I can tell they're not sharing that information.
The bottleneck for automation is verification. With human work, verification was fast(er) because you know where to look with certain assumptions that your upstream tasker would not have made trivial mistakes. For automation, AI needs to verify it's own work, review, and self correct to be able to automate any given work. Where this works, it will also change the abstraction layer compared to what it is today. The problem is same with every automation promise - it needs to work reliably at say 95% or 99% times and when it doesn't, there should be human contingency in terms of what to look for. Considering coding as the first example: it's already underway. AI generates the code, the test cases, and then verifies if the code works as intended. Code has a built in verification layer (both compiler and unit tests). High probablity the other domains move towards something similar too. I would also say the model needs to be intelligent to course correct when the output isn't validated[1].
Verification solves the human in the loop dependency both for AI and human tasks. All the places where we could automate in the past, there were clearly quality checks which ensured the machinery were working as expected. Same thing will be replicated with AI too.
Disclaimer: I have been working on building a universal verifier for AI tasks. The way it works is you give it a set of rules (policy) + AI output (could be human output too) and it outputs a scalar score + clause level citations. So I have been thinking about the problem space and might be over rating this. Would welcome contrarian ideas. (no, it's not llm as a judge)
[1]: Some people may call it environment based learning, but in ML terms i feel it's different. That woudl be another example of sv startups using technical terms to market themselves when they dont do what they say.
One thing that comes to mind: You still have to verify that the tests are exhaustive, and that the code isn't just gaming specific test scenarios.
I guess fuzzing and property-based testing could mitigate this to some extent.
saint_yossarian commented on What does Palantir actually do? wired.com/story/palantir-... · Posted by u/mudil
IOW, they facilitate killing people. Got it.
They literally advertise a "AI-powered kill chain". See https://www.palantir.com/platforms/gotham/
saint_yossarian commented on Debian 13 “Trixie” debian.org/News/2025/2025... · Posted by u/ducktective
On boot has been the standard for a long time and is still the most common. I am personally surprised to hear that now Debian and some distros do it via various automated ways at time intervals.
It's a systemd thing, see `man systemd-tmpfiles`.
Serious question: what other national or global-level weather services are freely available via API to end users? With AccuWeather going all-in on premium access and the NWS/NOAA being sabotaged, is there anywhere else with freely available high-quality data out there in readily-ingestible formats?
Here's a convenient list: https://github.com/breezy-weather/breezy-weather/blob/main/d...
We need a reasonable alternative to some of what Cloudflare does that can be easily installed as a package on Linux distributions without any of the following to install it.
* curl | bash
* Docker
* Anything that smacks of cryptocurrency or other scams
Just a standard repo for Debian and RHEL derived distros. Fully open source so everyone can use it. (apt/dnf install no-bad-actors)
Until that exists, using Cloudflare is inevitable.
It needs to be able to at least:
* provide some basic security (something to check for sql injection, etc)
* rate limiting
* User agent blocking
* IP address and ASN blocking
Make it easy to set up with sensible defaults and a way to subscribe to blocklists.
I remember using mod_security with Apache long ago for some of this, looks like it's still around and now also supports Nginx and IIS: https://modsecurity.org/
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Could media player actually just play midi dumps like this back in the day?
I've been on Linux for so long now, that being able to just play a MIDI file without making a bunch of decisions about soundfonts and synthesizers [1] just seems mind-blowing to me now.
Part of me wishes that just by default, mpv or something would just pick a softsynth and just play it (like WMP here) rather than have me install a separate program, pick a sound font, invoke it in some weird way to let it know what soundfont I want, and not even be able to seek back and forth.
[1] https://wiki.archlinux.org/title/MIDI#List_of_SoundFonts
Yes, there was even a <bgsound> HTML tag to play MIDI files, which was heavily used in places like Geocities.