I like these efforts to neatly categorise the extent of AI usage in a project. I do think they need some kind of neutrally worded classification but this and the original post are fine attempts at this emerging niche. It's important to some of us and I look forward to what ends being adopted.
> LLMs still can't write Gleam/Janet/CommonLisp/etc
hoho - I did a 20/80 human/claude project over the long weekend using Janet: https://git.sr.ht/~lsh-0/pj/tree (dead simple Lerna replacement)
... but I otherwise agree with the sentiment. Go code is so simple it scrubs any creative fingerprints anyway. The Clojure/Janet/scheme code I've seen it writing isn't _great_ but it gets the job done quickly and correct enough for me to return to it later and golf it some.
Not at all. I can't stand it either. It's definitely patronising and infantile. I tolerate the silliness, grit my teeth and move on but it wears away at my patience.
I do own one, owned both the Vero 4k and Vero V and they have been brilliant.
OSMC do very little marketing for some reason and are extremely underrated but their customer service and support has been exceptional, new features and patches roll out regularly and the hardware itself is powerful, silent and has a minimal form factor.
Support for mapping Dolby Vision (DV) to regular HDR was recently added and it works seamlessly for the few DV-only media files I have.
The largest file I have is 4K77 (https://www.thestarwarstrilogy.com/project-4k77/) at about ~80GB with a bitrate that can hit 120mbps during particularly grainy scenes and it works perfectly on both the Vero 4k and V.
The only problem I have is anime encoded as Hi10P which stutters slightly on the Vero V during playback because hardware decoding isn't supported for 10bit H264 (Hi10p and the anime encode scene is unusual like that as 10bit is usually reserved for H265).
I think it is brilliant and completely underappreciated :)