If you don’t want to see AI projects, you can filter out by the tag, thats why its there. The rules came out of several discussion posts in the community. Some people want it, some people don’t, some people are OK with some AI involvement (which is the reason for the disclosure).
Quite a few small models, not many large models (which are not gigantic frontier models either for the record).
The datasets used are all public domain or expired copyrights, like Common Corpus and Common Pile. There are also models like Talkie that are exclusively based on data from prior to 1930.
So you’ve got the Pleias Common Models, Comma (EleutherAI and people on Huggingface contributing), KL3M (Kelvin Legal Large Language Model), Apertus (ETH Zurich), and OLMo/v2 (Open Language Model, Allen Institute for AI) as good prime examples.
@Osm@lemmy.ml for your reference
Its part of our rules here - take a look at rule 8.
It was recommended for !opensource@lemmy.ml not that long ago iirc, though I don’t know that they’ve adopted it.
There are other places where it was by hundreds.
Depressing, really, but I’ll take any shift to the left and keep pressing for more.
it goes back a while
It goes back at least to my teen years, which is… not remotely recent. (Edit: 90’s for the record)
One of the reasons my pref is unpriveleged lxc.
Definitely suggested then, you’re also going to get drastically more features. If you remember a time when Plex plugins were available - its that. And more flexible.
Any intel-based chipset past 6th gen or so will be ok, 7+ recommended, 10th+ for AV1. If you aren’t doing any transcoding, just about anything will work include a pi.
Considering the number of people voting directly against their interests or the number who get duped into thinking AGI is currently realistic, I have my doubts.
We’ll see though, because its definitely coming
It was bailed out because the people who drop cash into elections (large investors) would have been impacted.
If it got to bailout for AI, they’d profit from the bailout, talk it up for retail, have their market news correspondents talk up about how there is huge profit to be made to get more retail investors (ie: bagholders) roped in, and profit off the drop.
This is what history tells me, you can come to your own conclusions of course, but IMO… AI is just the newest vehicle for the same story we’ve seen cycle (faster every time it seems) over the past… Well, century at this point. Maybe more but before the stock market I’m without examples I’m personally aware of.
Sounds great, when can they start?
Something they have historically been extremely good at, yes.
Pershing Square in 2020 is the most recent one I can think of. In terms of industries you’ve got the obvious subprime market example, the telecom industry in the late 90s, and probably the best example of an entirely fake industry - forestry/reverse mergers about 15 years ago with Chinese Forestry companies that were basically complete fabrications.
This is what they do.
Edit: typo, should have been 15 not 25.
Investment firms create returns through market manipulation.
Thats all these AI firms are to them. The product itself is irrelevant. A funding round increases speculation.
They make money on it going up, and they make money on it going down. Don’t expect them to stop shoveling money in just because its “unprofitable” for the company they are investing in.
The stock valuation is the only profit they need.
This is what I’d do, but youre going to be limited to 2.5" + m.2 in the ultra small form factors (USFF, more NUC sized), while the SFF size you can get one (sometimes two) 3.5". So make sure to check the form factor of the machine!
Tons more computing power in either case, and the most reasonable price point IMO.
Investment firms do, which are the ones giving them money.
In effect, yes, that is how it works and they do get money from it.
Quick bit of pedantry - they dont get to control state registration, which is not the same as membership in the local party.
Only a little as far as animal health goes, my wife knows a lot though, and she knows quite a few vets who have let me abuse them with questions :) Majority is as I go along though for the non-tech side.
Similar but not the whole thing. I’m identifying more broadly (deer, horse, chicken, etc) but more focused on their movement and condition. Are their coats are healthy, their movements normal, so on.
Classification then changes which CV model is used to evaluate the rest.
Right now they are too big to be fast enough, and going smaller is breaking the model. N9t because there aren’t unnecessary bits to trim out, but because I’m not doing a good enough job at minimizing what’s actually needed.
I’ve been working on it for a while now, but still have a long way to go unfortunately.
In terms of my setup, there was basically no impact. I use Debian (servers and some workstations) and Arch (couple of laptops and a couple of miscellaneous task-oriented devices I want more recent builds on than Debian will give me)
Work? Different story, so much manual updating!
Otherwise just regular stuff this week like backups (monthly incl since yesterday was the 31st), reviewing changelogs for minor updates, etc.
Hit a bit of a wall in my animal identification tools I’m making, so I’m going back to do some more reading to see if I can find a way to improve efficiency more and make it smaller while maintaining accuracy.
Client dependent as to whether it shows the community its cross posted from.
Mostly because that crowd likes to come in and downvote anything they notice ai-related in any way, shape, or form, or they post comments I’ll need to remove. Despite tags being added so they could choose to filter those posts out instead.
Its less about the post and more about the general behavior of some people in that comm.
I’m a loooooooong time Debian user. I don’t do Ubuntu or other variants.
I only run sid on a test machine because its always broken in some way, testing on another, and then the majority is deb stable.
If I want the latest and greatest and to actually use it though, not just see what’s coming and where issues might be for me later, I use arch. FWIW I use arch on two out of four laptops (one is deb stable, one is a work windows laptop), one Debian sid, testing, and stable each on (somewhat) matching spec workstations, and then deb stable (or deb stable + proxmox) on the rest of the bunch.