Earlier arguments of yours in other posts is that we should use open models and now you are posting things praising closed-model usage?
If you were wondering why I was saying I don’t think your pro-AI stance is good-faith, it’s exactly things like this
No, I just see no reason to counting talking to someone who keeps renaming valid criticism as “whining”. There is no mind to be changed here. This is just conservative rhetoric while pretending to talk like a “leftist”
The particular policy you are defending by the way goes against all your argument about wanting open models. The policy to not even have to say what model you use, and yet you defend it just the same. There is no cohesive argument here
Based on your other comments across several threads which do not indicate good faith, I am not continuing this thread here
I don’t think this is a good faith conversation if we are going to continue to call it being massively used against workers and our overall society just “whining”. I was going to respond with all the other negative effects on human cognition from AI which do not go away no matter who makes it, but I see little point to continuing this
Compute is the bottleneck for AI, not labor. Linux was able to develop more because of the labor being done by huge number of people for free and from those employed by other companies working on it. If AI keeps accelerating on the same trajectory, there is little reason to hope for it to get better as the models get larger and training costs get higher
The Luddites were not just smashing machines, they had a list of demands they were trying to build pressure for. They were also trying to get the rights for unions, strikes, abolishing child labor, minimum wages and the things like that which shifted powers back into the favor of workers. They had tried petitioning governments for that for a while before they started smashing things
If the US bans open-weight models, you don’t think a large number of countries would be heavily pressured by industry to do the same?
and has fuck all to do with charity
That’s what I said?
you absolutely can inspect the weights
Current techniques cannot give you anything close to the level of inspection you can with software. Worse still, techniques of frontier AI labs are moving in the opposite direction with it getting harder to understand over time and less going into things like chain of thought
There also projects like petals for doing distributed training
You always be at a massive disadvantage because of the severally more limited compute available. Additionally, distributed computing not inside the same data center adds massively increased latency
Training a model also does nothing for the environmental side of things and just makes things worse
instead of whinging endlessly as if OpenAI or Anthropic give a flying fuck that some brave lib made yet another ‘AI slop’ comment on a niche social media platform.
That’s 100% missing the point. The point is to not encourage more people to use the tool that gives control to Anthropic, OpenAI, etc. Social stigma and pushback is the point. People use things less when it’s seen as uncool. Normalizing AI use just means it’s going to be used more against your interests
They were not “against technology”, that was the propaganda of the ruling class which still gets repeated today. The Luddites were put down by militarily and violently killed. They didn’t fail because they weren’t publicly supported (they were wildly popular) or weren’t against the social relations (they very much were)
Building frontier AI models cost billions of dollars in capital. Any solution involves raising that kind of money, the forces of the money will be put right back against you. It’s also just as likely to be banned if it’s seen as a big enough threat.
Only a handful of companies make open weight models, and those models are not made for charity. They want either market share and/or control. Making your own model is not like making your own software because the capital cost are extraordinarily high. The masses will not have the billions in funds they would need need to train these models
Unlike open source code, you cannot check what’s actually in the open weight models. Worse still, you can hide things that trigger on very specific words (poison attacks can be intentional by the model maker or put by other actors in the public data). Fine tuning attempts are also no escape from hidden features you don’t even know to look for
This is the kind of arguments people made against the free-software movement in the first place. That it’s somehow more mature to not care about consequences of what we do and how we do it
I think it’s exactly the other way around
The open source software movement was very much founded on the idea of being concerned about what kinds of tools we use as a society. Software that’s “just a tool” can lock you down and out of what you can do with it. Same argument can just as well be made that people were “shying away from using new and interesting tools” by running free software instead of Microsoft’s new priority stuff that locks you in
AI similarly gives massive control to a handful of companies. They have already used that leverage to intentionally sandbag tasks without telling you, when they think it’s against their economic interests (model distillation and AI research). Is it not possible to imagine that goes further, they would use that leverage to slip in backdoor, not report classes of bugs, etc.?
This was for general diffusion model outputs a few years ago, but a lot of the speculation of why the outputs are similar likely hold here
There are also only so many good data sets available for people to use to build image models, Phillip Isola, a professor at the MIT Computer Science & Artificial Intelligence Laboratory, told me, meaning the models might overlap in what they’re trained on. (One popular one, CelebA, features 200,000 labeled photos of celebrities. Another, LAION 5B, is an open-source option featuring 5.8 billion pairs of photos and text.)
[…]
Five years ago, he explained, image generators tended to create really blurry outputs. Researchers realized that it was the result of a mathematical fluke; the models were essentially averaging all the images they were trained on. Averaging, it turns out, “looks like blur.” It’s possible that, today, something similarly technical is happening with this generation of image models that leads them to plop out the same kind of dramatic, highly stylized imagery—but researchers haven’t quite figured it out yet. Additionally, “most models have an ‘aesthetic’ filter on both the input and output that reject images that don’t meet a certain aesthetic criteria,” Hany Farid, a professor at the UC Berkeley School of Information, told me over email. “This type of filtering on the input and output is almost certainly a big part of why AI-generated images all have a certain ethereal quality
[…]
The third theory revolves around the humans who use these tools. Some of these sophisticated models [this is not as sophisticated as the author is implying] incorporate human feedback; they learn as they go. This could be by taking in a signal, such as which photos are downloaded. Others, Isola explained, have trainers manually rate which photos they like and which ones they don’t. Perhaps this feedback is making its way into the model
[…]
This could be intentional: If such imagery has a market, maybe companies would begin to converge around it. Or it could be unintentional; companies do lots of manual work in their models to combat bias, for example, and various tweaks favoring one kind of imagery over another could inadvertently result in a particular look
No, I mean the dominant form of new energy in the US and in Europe even despite that. Not just the world. It’s a hindrance, but a far cry from an effective ban in at all
The dominant form of new capacity is not “effectively banned” by any stretch though. This is not splitting hairs, it’s just wrong
This is absolutely not true. They are also taking off a lot in the western world too and are the vast majority of new energy capacity. A lot western countries are trying to hamper them somewhat because of fossil fuel interests interfering, but they are not at all banned
Even in the US where the US government is even more actively trying to restrict, there is still a massive boom
Even as President Donald Trump boosts coal over clean energy, solar power is hitting new milestones in the U.S. and remains the leading source of new power.
Solar power hits new milestones in the US even as Trump boosts coal over clean energy
Renewables are taking off rapidly across the world because they are the cheapest form of power full stop. We keep underestimating how much capacity they’ll add. Existing renewables and other measures, while not sufficient to prevent a lot of harm (we still need to keep going), has already made some of the absolute worst case climate timelines no longer considered likely
In solid blue is what we’ve actually done and the lighter lines were our predictions and models for new solar capacity
https://chaos.social/@russss/114825851049843449
Something I have a less stats on and is more gut feeling, but in my personal life and online, I’m seeing a massive increase in the support for moving towards plant-based diets in just this last year. I was talking to one of my friends, in a city I used to live in, who told me that the veg fest near them was the most crowded they’ve ever seen it this year
Annoyingly those recalls are still mostly because of animal agriculture. Mostly diseases from manure and/or leaked manure from nearby animal farms
If anyone wants any inspiration for recipes to avoid the mystery meat !veganrecipes@sh.itjust.works and !veganhomecooks@lemmy.world
If anyone wants any inspiration !veganrecipes@sh.itjust.works and !veganhomecooks@lemmy.world
>>> print("proof by counterexample in a python REPL")
proof by counterexample in a python REPL
>>> x = 2; print(x)
2
>>> print("this is not ignored"); print("it's just mostly useless"); print("but you can use as many as you want")
this is not ignored
it's just mostly useless
but you can use as many as you want
Soy is also super versatile with soy sauce, tofu, miso, edamame, tempeh, soy milk, Natto, soybean oil, etc.