On the specific no/low-CGI bent — I find the obsession with using this (mostly false) claim so utterly disrespectful to the people in VFX that have poured thousands upon thousands of hours of their lives into the craft, only to be actively derided (or outright denied) by producers hoping to capitalise on whatever this weird obsession is.
For anyone that hasn’t seen it but is interested in the topic, this series is HIGHLY worth a watch:
Or like me where you get two SSDs in your pool that happen to likely be from the same batch and both decide to permanently disappear at roughly the same time :(
I have the F8 Plus, great little unit. It did need a BIOS update when I first got it to enable Proxmox/other OSes to work properly.
Recently replaced the internal USB boot drive with a small NVMe USB enclosure; using a 90-degree USB connector and using a dremel to sand away an opening for the cable to come out so I could mount the enclosure externally.
I’m running an 8-drive ZFS RAIDZ2 pool. I’m wondering if you know — are the free space recommendations around ZFS cargo or real?
Like I’m already giving up two full drives for redundancy (which saved my ass - I recently had two drives fail on me in quick succession — both SSDs from what looks like an identical batch) but then the advice is kinda saying I need to keep at least another drive worth of space free for the pool to perform well and not crap itself. That hurts with current prices for sure.
When I find myself feeling like that, a good reframe I like using is to turn those comments into commiseration; “What about trying A?” — “Yeah it’s f*ked aye, I tried A, B and C and it STILL didn’t work!”.
I think I have a similar style, I can sound like I’m ‘arguing’ with a person but really I’m arguing with my own internal model. If I say “but what about….”, “what if…..” or “then how….” I probably mean it literally as a question, not “I’m trying to poke holes in your argument and prove you wrong”. I’m trying to poke holes in MY understanding.
The most unexpected thing for me was kind of philosophical in a ‘holy shit’ way.
Cloud models still feel ‘magic’, like you send a request off and get something back, like it’s something ‘special’. I used to joke that ChatGPT might be some kind of mechanical turk underneath.
Watching a model run local on your own machine hits different — you realise that yes, it IS just a computer program. Which for me actually makes me appreciate the leap we’ve made MORE, not less. From an information-theoretic point of view, LLMs really are something special.
The fact that they are just programs, that I’ve now experienced first-hand that they’re just programs, makes all those questions around consciousness and intelligence much more interesting.
Your see this in coding agents too. The only times so far I’ve really seen Opus tie itself into a knot is where I’ve asked it to fix something that I thought was broken but actually wasn’t in the way I had described. It will bias towards your description (I’m guessing because that’s the most recent context it has?).
I think it’s the combined depth AND breadth of knowledge that can be captured by AI models that is going to make them way better than most humans at this kind of stuff.
I guess ‘per GB’ doesn’t really capture it, because the base number of gigabytes available to people (ie- the smallest compatible RAM kit you need to build a computer) and the base number of gigabytes you really need (OS bloat, feeling responsive, etc) have gone up so much.
If we can agree that the AI model is at least as capable as a junior engineer or new contractor, how’s that different to saying “software engineering isn’t worth $200 a month”?
Has a very race-to-the-bottom feel to it.
Though in the grand scheme of it, $200/mo probably isn’t the real price either. Also looking at it not just in a vacuum - paying for a product that can change what you get from under you doesn’t seem great anyway.
At least with a locally-hosted model you know what you’re getting.
It’s interesting — my own impression kinda matches that; I’m still doing most of the thinking when using AI that I’d do before writing the code, it’s just that now the feedback loop is so much faster.
One of the artists at my company described generative AI as “I get none of the fun of actually drawing the thing and all of the work of fixing it so it works properly with what we need”. That’s not how I feel about it in relation to writing code.
Maybe I’m just tired and AI has made things interesting again.