California Senate Passes SB 1047
hyperdimensional.co
hyperdimensional.co
That just sounds so strange. People will have to sign promises that their model is safe from possible end-user harm. It seems like they are setting up something for selective enforcement.
> The California government is gearing up for the “increased incarceration costs” and other costs associated with criminalizing AI development if this bill passes
That is just so odd. Weren't they the state focusing intently on quicker rehabilitation and alternatives to incarceration but now they are preparing to incarcerate more people over AI models? What is even going on that state.
What's the obvious loophole for the companies here. Leave the state? Or can they just say "This model was designed and built in Nevada/Kansas/Kentucky/etc. Us (OpenAI) are just licensing this as an end-user from our partners in Kentucky, sorry, CA attorney general, /shrug/?".
As with all things under California’s broken political system: the ballot initiative process. Get people to vote for a law that in effect repeals this one, and put repealing the repeal out of reach for the legislature.
These kind of supermajority threshold requirements should not be allowed, they're simply outrageous and blatantly obstructionist. Might was well write "this is immutable ha ha suck it"
If our political environment didn’t feature short legislative term limits and ballot initiatives to begin with and was properly representative, it’s unlikely someone like the bill’s sponsor would have either been voted in in the first place or received enough support within the legislature to get AB5 passed. She also left the legislature and found herself a nice career working for the very interest groups that wanted to see AB5 passed in the first place.
>That is just so odd. Weren't they the state focusing intently on quicker rehabilitation and alternatives to incarceration but now they are preparing to incarcerate more people over AI models? What is even going on that state.
Why is this a point of contention? Isn't it obvious that any new law that defines a new type of illegal behavior is going to result in increased incarceration costs? It doesn't matter if 99.99% of people convicted of violating a new law never face incarceration. There still will be some people who will be convicted of perjury or other crimes because of this new law and dealing with those people won't be free.
This isn't an endorsement of this regulation, I'm just asking for clarification on why this specific aspect is worth singling out as a problem.
It's ok, I guess? It just seems a little odd to go from we'll make AI model creators liable by law directly to effectively "let's expand our prison exercise yards and visitation facilities". Like they're planning on fill up the prisons right away.
On second thought, I guess, exercise yard expansion might not be quite right, I am think more like "this incarcerated population will require espresso machines and yerba mate gourds. We'll have start a commission to study how to source those...".
(One has to laugh when things get ridiculous enough...)
>Potential non-reimbursable annual costs (local funds, General Fund) in the hundreds of thousands of dollars to counties for increased incarceration costs relating to the expansion of felony perjury in this bill.
And the first Google result[1] says it costs $132,860 to house a prisoner in California.
So the analysis is effectively saying that California might incarcerate 0-7 people annually based off this new law. Is that supposed to be ridiculous?
This just seems like a weird aspect of this issue to highlight and it ends up making the overall argument against this bill look weaker because of course incarceration costs will go up if you incarcerate more people.
[1] - https://www.abc10.com/article/news/local/california/calmatte...
It's FUD from a thinktank that specializes in freaking out over corporate legislation under the guise of "personal liberty". Still seem weird?
Seems right on point to me.
The biggest points imo being
>The Frontier Model Division has a wide scope to define the “perjury” charges the bill attaches to developers for end-user misconduct, including “the rigor and detail” of the developer’s safety protocols
>So is any model trained with less compute but matching a 10^26 flops-model in “relevant benchmarks” (the bill doesn’t say which)
>So is any model trained with less compute AND lower benchmarks, so long as it is of “similar general capability” (we do not know what this means)
Actually legislating that the developer of the AI is liable for what end users do is absolutely wild. And the other clauses they added make this essentially apply to any developer AI that can form a sentence. They made the categories so broad that an argument could be made that the law applies to any AI at all.
They do everything they can to reduce the pool of alternatives so they can keep the power and grift going.
Is this law even constitutional? Doesn't it violate the first amendment?
Using geography-limited legislation over things that are used countrywide or worldwide. for this or other laws from there or elsewhere is a bit overreaching. In the end, if the senate elected democratically for a territory, in representation of their citizens, decide something, is ok, as long as it only affects the people of that territory. Things gets very wrong when your elected governments impose their opinion over other territories/countries, there should a name for that.
These models are really cool and novel don't get me wrong but they're self-reading books on their training data and ought to be regulated as such. But hey, if it means that some other state is gonna be the hub for AI I'm all for it.
Now to be fair OpenAI's safety stuff is actually useful but it's useful for "programmable customer service agent" and companies that want to have a chatbot and not have it say fuck. But those tweaks aren't free, and come at the expense of model performance. So OpenAI pushed regulators hard on this and now everyone has to has to pay the same cost wooo!
It means you can't chip away at OpenAI's market by being better than them at specialized tasks because you have a raw completely unaligned non-instruction tuned model you use for say generating code. Because that model could be used to write viruses oohhh spooky.
Some domains do require regulations updates do to changes in the field, in which case it may make sense to have a commission (sorta like they're doing here), but based on this post, they basically just gave a carte blanche to disallow everything (while not directly stating that nothing is allowed).
Sorry future startups in this field - I guess when there are enough compute in few years to start hitting this bill definitions, you will need to move elsewhere.
"A designer knows he has achieved perfection not when there is nothing left to add, but when there is nothing left to take away."
attributed (perhaps not perfect translation) to Antoine de Saint-Exupery
How exactly does that make sense?
That's like only regulating fighter jet safety while letting passenger jets do whatever they want.
US is a biiiiiiig country.
It seems reasonable to regulate specific aspects of safety, e.g. it shouldn’t be possible to derive the formulas for chemical or nuclear weapons. If an AI company cannot be certain of this, it seems reasonable for the government to impose restrictions on the handling of such models. Where things get murky is how to define risk for things that are less obvious.
There is deeply embedded in the tech community an ethos and belief that core tech is neutral, the potential for harmful use is an acceptable reality. I have lived and breathed this for 20 years.
But information is not neutral, and the output of these models is derived from a corpus of information that is anything but neutral. A subset of this information is so incredibly harmful that the risk of its inclusion is high enough to warrant significant effort in ensuring safety.
Again, assuming a sufficiently advanced model, might it be reasonable that the onus is on the creator of the model to understand what it can do and certify what it cannot do?
Many have commented that the non-regulation of the early Internet was necessary and good, and that the same should be true for AI. But the eras are very unlike each other. The entire technology industry was still forming, and no one knew what would come of it. What grew was incredible. But with it came the data brokers, the worst aspects of social media, etc.
It’s against this backdrop of an increasingly enshittefied landscape that regulators are looking at this potentially seismic shift in computing and not feeling willing to let the companies that cooked up the current mess go headlong into something potentially far more fantastical (for good or bad) without checks and balances.
I still think the bill is far too vague and just drives AI development out of CA. But I can understand where it’s coming from, and I wouldn’t be surprised to see a push for this nationally, with similarly vague specifications because no one knows how to quantify AI risk.
Edit: To be clear, I'm asking questions and trying to explore the legislator's angle here. I'm not saying I think this kind of legislation will be effective or that this is a good bill.
This information is widely available in textbooks, so...what exactly is the problem? If it's just a lossy-compression parrot "AI" like ChatGPT it won't be able to spit out anything that wasn't somewhere (implicitly or explicitly) in the training data anyway.
Getting to a significantly more advanced model will require significantly more work, and yet again we don't really know which direction to go in. Every time we crest a hill and see the ocean in the distance, we all start screaming "I see the beach! We're almost there!" but without a map we have no idea how much further we have left to travel.
Nonsense, this information is widely available and always has been. Modern chemical weapons like VX nerve agent have detailed information about synthesis on Wikipedia[0]. Any trained chemist worth a damn can replicate this. Despite this, chemical weapon attacks by non-government entities are extremely rare with only a few examples, the most notable probably being the Tokyo nerve agent attack[1].
As with nuclear weapons, the difficulty has always been in the technical execution, not the theory and know-how. And few people with the inclination to make the effort.
https://thezvi.substack.com/p/on-the-proposed-california-sb-...
Are Facebook AI researchers going to continue working in California when they can be put in jail? What about all the researchers in the UC system and Stanford?