157 points

If companies are crying about it then it’s probably a great thing for consumers.

Eat billionaires.

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40 points

The California bill was co-sponsored by the Center for AI Safety (CAIS), a San Francisco-based non-profit run by computer scientist Dan Hendrycks, who is the safety adviser to Musk’s AI start-up, xAI. CAIS has close ties to the effective altruism movement, which was made famous by jailed cryptocurrency executive Sam Bankman-Fried.

Ahh, yes. Elon Musk, paragon of consumer protection. Let’s just trust his safety guy.

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17 points

Companies cry the same way about the bills to ban end to end encryption, and they’re still bad for consumers too

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5 points

Fair point

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10 points

It’s designed to give the big players a monopoly, seems bad for the majority of us

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-50 points

So if smaller companies are crying about huge companies using reglation they have lobbied for (as in this case through a lobbying oranisation set up with “effective altruism” money) being used prevent them from being challenged: should we still assume its great?

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68 points

Rewind all the stupid assumptions you’re making and you basically have no comment left.

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11 points

Bravo on the concise take down. What a great way to put that

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5 points

My current day is only just starting, so I’ll modify the standard quote a bit to ensure it encompasses enough things to be meaningful; this is the dumbest thing I’ve read all yesterday.

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5 points

Which assumption? It’s a fact that this was co-sponsored by the CAIS, who have ties to effective altruism and Musk, and it is a fact that smaller startups and open source groups are complaining that this will hand an AI oligopoly to huge tech firms.

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57 points

I think Asimov had some thoughts on this subject

Wild that we’re at this point now

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41 points

Asimov didn’t design the three laws to make robots safe.

He designed them to make robots break in ways that’d make Powell and Donovan’s lives miserable in particularly hilarious (for the reader, not the victims) ways.

(They weren’t even designed for actual safety in-world; they were designed for the appearance of safety, to get people to buy robots despite the Frankenstein complex.)

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30 points

I wish more people realized science fiction authors aren’t even trying to make good predictions about the future, even if that’s something they were good at. They’re trying to make stories that people will enjoy reading and therefore that will sell well. Stories where nothing goes particularly wrong tend not to have a compelling plot, so they write about technology going awry so that there’ll be something to write about. They insert scary stuff because people find reading about scary stuff to be fun.

There might actually be nothing bad about the Torment Nexus, and the classic sci-fi novel “Don’t Create The Torment Nexus” was nonsense. We shouldn’t be making policy decisions based off of that.

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2 points

Philip K. Dick wrote a short story from the dog’s pov about living in a home and thinking about the trash can. According to the dog the humans were doing what they were supposed to do, burying excess food for when they are hungry later. The clever humans had a metal box for it. And twice a week the dog would be furious at the mean men who took the box of yummy food away. The dog couldn’t understand why the humans who were normally so clever didn’t stop the mean people from taking away the food.

He mentioned the story a great deal not because he thought it was well written but because he was of the opinion that he was the dog. He sees visions of the possible future and understands them from his pov then writes it down.

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13 points

Asimov’s stories were mostly about how it would be a terrible idea to put kill switches on AI, because he assumed that perfectly rational machines would be better, more moral decision makers than human beings.

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18 points

This guy didn’t read the robot series.

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13 points

I mean I can see it both ways.

It kind of depends which of robot stories you focus on. If you keep reading to the zeroeth law stuff then it starts portraying certain androids as downright messianic, but a lot of his other (esp earlier) stories are about how – basically from what amount to philosophical computer bugs – robots are constantly suffering alignment problems which cause them to do crime.

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6 points

This guy apparently stopped reading the robot series before they got to The Evitable Conflict.

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1 point
Deleted by creator
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6 points

All you people talking Asimov and I am thinking the Sprawl Trilogy.

In that series you could build an AGI that was smarter than any human but it took insane amounts of money and no one trusted them. By law and custom they all had an EMP gun pointed at their hard drives.

It’s a dumb idea. It wouldn’t work. And in the novels it didn’t work.

I build say a nuclear plant. A nuclear plant is potentially very dangerous. It is definitely very expensive. I don’t just build it to have it I build it to make money. If some wild haired hippy breaks in my office and demands the emergency shutdown switch I am going to kick him out. The only way the plant is going to be shut off is if there is a situation where I, the owner, agree I need to stop making money for a little while. Plus if I put an emergency shut off switch it’s not going to blow up the plant. It’s going to just stop it from running.

Well all this applies to these AI companies. It is going to be a political decision or a business decision to shut them down, not just some self-appointed group or person. So if it is going to be that way you don’t need an EMP gun all you need to do is cut the power, figure out what went wrong, and restore power.

It’s such a dumb idea I am pretty sure the author put it in because he was trying to point out how superstitious people were about these things.

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37 points
*

The bill, passed by the state’s Senate last month and set for a vote from its general assembly in August, requires AI groups in California to guarantee to a newly created state body that they will not develop models with “a hazardous capability,” such as creating biological or nuclear weapons or aiding cyber security attacks.

I don’t see how you could realistically provide that guarantee.

I mean, you could create some kind of best-effort thing to make it more difficult, maybe.

If we knew how to make AI – and this is going past just LLMs and stuff – avoid doing hazardous things, we’d have solved the Friendly AI problem. Like, that’s a good idea to work towards, maybe. But point is, we’re not there.

Like, I’d be willing to see the state fund research on that problem, maybe. But I don’t see how just mandating that models be conformant to that is going to be implementable.

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27 points
*

Thats on the companies to figure out, tbh. “you cant say we arent allowed to build biological weapons, thats too hard” isn’t what you’re saying, but it’s a hyperbolic example. The industry needs to figure out how to control the monster they’ve happily sent staggering towards the village, and really they’re the only people with the knowledge to figure out how to stop it. If it’s not possible, maybe we should restrict this tech until it is possible. LLMs aren’t going to end the world, probably, but a protein sequencing AI that hallucinates while replicating a flu virus could be real bad for us as a species, to say nothing of the pearl clutching scenario of bad actors getting ahold of it.

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18 points

Yeah that’s my big takeaway here: If the people who are rolling out this technology cannot make these assurances then the technology has no right to exist.

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1 point
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11 points
*
  1. There are many tools that might be used to create a biological weapon or something. You can use a pocket calculator for that. But we don’t place bars on sale of pocket calculators to require proof be issued that nothing hazardous can be done with them. That is, this is a bar that is substantially higher than exists for any other tool.

  2. Second, while I certainly think that there are legitimate existential risks, we are not looking at a near-term one. OpenAI or whoever isn’t going to be producing something human-level any time soon. Like, Stable Diffusion, a tool used to generate images, would fall under this. It’s very questionable that it, however, would be terribly useful in doing anything dangerous.

  3. California putting a restriction like that in place, absent some kind of global restriction, won’t stop development of models. It just ensures that it’ll happen outside California. Like, it’ll have a negative economic impact on California, maybe, but it’s not going to have a globally-restrictive impact.

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12 points

Like, Stable Diffusion, a tool used to generate images, would fall under this. It’s very questionable that it, however, would be terribly useful in doing anything dangerous.

My concern is how short a hop it is from this to “won’t someone please think of the children?” And then someone uses Stable Diffusion to create a baby in a sexy pose and it’s all down in flames. IMO that sort of thing happens enough that pushing back against “gateway” legislation is reasonable.

California putting a restriction like that in place, absent some kind of global restriction, won’t stop development of models.

I’d be concerned about its impact on the deployment of models too. Companies are not going to want to write software that they can’t sell in California, or that might get them sued if someone takes it into California despite it not being sold there. Silicon Valley is in California, this isn’t like it’s Montana banning it.

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1 point

Haven’t these guys read Frankenstein? Everyone knows Monsters are bad.

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7 points

So, the monster was given a human brain that was already known to be murderous. Why, we don’t know, but a good bet would be childhood abuse and alcohol syndrome, maybe inherited syphilis, given the era. Now that murderer’s brain is given an extra-strong body, and then subjected to more abuse and rejection. That’s how you create a monster.

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2 points

Indeed. If only Frankenstein’s Monster had been shunned nothing bad would have happened.

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0 points

It’s not a monster. It doesn’t vaguely resemble a monster.

It’s a ridiculously simple tool that does not in any way resemble intelligence and has no agency. LLMs do not have the capacity for harm. They do not have the capability to invent or discover (though if they did, that would be a massive boon for humanity and also insane to hold back). They’re just a combination of a mediocre search tool with advanced parsing of requests and the ability to format the output in the structure of sentences.

AI cannot do anything. If your concern is allowing AI to release proteins into the wild, obviously that is a terrible idea. But that’s already more than covered by all the regulation on research in dangerous diseases and bio weapons. AI does not change anything about the scenario.

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1 point

I largely agree, current LLMs add no capabilities to humanity that it did not already possess. The point of the regulation is to encourage a certain degree of caution in future development though.

Personally I do think it’s a little overly broad. Google search can aid in a cyber security attack. The kill switch idea is also a little silly, and largely a waste of time dreamed up by watching too many Terminator and Matrix movies. While we eventually might reach a point where that becomes a prudent idea, we’re still quite far away.

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1 point

you can guarantee it, by feeding it only information without weapon information. The information they use, is just scraping every single piece of data from the internet.

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35 points
*

The criticism from large AI companies to this bill sounds a lot like the pushbacks from auto manufacturers from adding safety features like seatbelts, airbags, and crumple zones. Just because someone else used a model for nefarious purposes doesn’t absolve the model creator from their responsibility to minimize that potential. We already do this for a lot of other industries like cars, guns, and tobacco - minimize the potential of harm despite individual actions causing the harm and not the company directly.

I have been following Andrew Ng for a long time and I admire his technical expertise. But his political philosophy around ML and AI has always focused on self regulation, which we have seen fail in countless industries.

The bill specifically mentions that creators of open source models that have been altered and fine tuned will not be held liable for damages from the altered models. It also only applies to models that cost more than $100M to train. So if you have that much money for training models, it’s very reasonable to expect that you spend some portion of it to ensure that the models do not cause very large damages to society.

So companies hosting their own models, like openAI and Anthropic, should definitely be responsible for adding safety guardrails around the use of their models for nefarious purposes - at least those causing loss of life. The bill mentions that it would only apply to very large damages (such as, exceeding $500M), so one person finding out a loophole isn’t going to trigger the bill. But if the companies fail to close these loopholes despite millions of people (or a few people millions of times) exploiting them, then that’s definitely on the company.

As a developer of AI models and applications, I support the bill and I’m glad to see lawmakers willing to get ahead of technology instead of waiting for something bad to happen and then trying to catch up like for social media.

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4 points

self regulate? big tech company? pfft right we all know how that goes

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0 points
*

the people who are already being victimized by ai and are likely to continue to be victimized by it are underage girls and young women.

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33 points

The bill, passed by the state’s Senate last month and set for a vote from its general assembly in August, requires AI groups in California to guarantee to a newly created state body that they will not develop models with “a hazardous capability,” such as creating biological or nuclear weapons or aiding cyber security attacks.

I’ll get right back to my AI-powered nuclear weapons program after I finish adding glue to my AI-developed pizza sauce.

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4 points

this is where the AI hype has taken us

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