Thanks! (And I should say, it was a genuine question :-)). I’ll take a look at them; I don’t listen to any Spotify exclusives (yay!), but there are one or two that I subscribe to their supporter schemes and at the moment I do that through Spotify. I guess that’s my next task, work out if there’s a way to subscribe directly and use something like Antennapod.
New workers’-day-weekend project dropped…
Hmm. Sadly not available in my country yet (and while I’m sure I could pull some shenanigans to subscribe with a foreign address, I’m going to assume that also means none of our local music labels will be covered, so that’s a non starter.)
I’ll keep an eye on it. But in the meantime, I also gather it doesn’t do podcasts - anyone have any recommendations on where I could be migrating podcasts, from Spotify? Non-US companies only (which for avoidance of doubt, absolutely definitely excludes Apple).
Where are you getting that from? That’s not the case at all.
This isn’t an AI story, it’s a “completely fucking idiotic sysadmins exist” story.
Treat an AI like the idiot intern without any references you just hired. Gave the idiot intern permission to delete your production database? That’s entirely on you, zero sympathy. (Actually, give any developer that power? You get what you deserve.)
I just realised this is the much more useful link: https://github.com/p-e-w/heretic?tab=readme-ov-file
I can see at least one -heretic version of a Qwen3.5 model on Huggingface already; can’t vouch for quality though.
Keep an eye on this: https://huggingface.co/heretic-org
I used to use a -heretic abliterated version of gpt-oss-120b, not for any creative reasons but just to reduce the amount of wasted tokens in its thinking, with good results.
(You can turn off thinking mode with the new Qwen models btw - how you do it will depend on how you’re hosting it, but basically it’s a flag to the chat template. It won’t remove the safety guidelines, but it will stop it telling you all about its internal monologue ;).)
I2C/SPI - and indeed most hardware interfaces - are of course trivial to anyone skilled in the art. Digging through badly written vendor documentation though, then comparing it with the reference implementation that was buried on a website behind a sign that says “beware of the leopard” and which directly contradicts the documentation on various key points, is a non-trivial and ultimately unproductive use of time - and AI tools can be pretty good at that shit.
Generative AIs are a useful tool. Most of the criticisms of AI vendors are also valid (apart from the water one, that’s just bullshit,) but that doesn’t stop them being a useful tool - and engineers who learn to use them as a tool will be more productive and will be more employable than those who stick their fingers in their ears and insist on only producing artisinal code hand-whittled with their grandfather’s tools.