posted in Technology

Bernie Sanders proposes 20 year prison sentence for AI devs who plow ahead with Artificial Superintelligence plans - penalty on par with illegally developing rogue nuclear weapons

www.tomshardware.com/tech-industry/artificial-intelligence/sanders-proposes-20-year-prison-sentence-for-ai-devs-who-plow-ahead-with-artificial-superintelligence-plans-penalty-on-par-with-illegally-developing-rogue-nuclear-weapons
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Replying to @⁨Mustachius_Grumpius@thelemmy.club⁩

Still crazy people get the same charge for driving around with some plants…

There’s a lot of shit we need to fix, but our justice system is a big one.

20 years should be the plea deal if they fess up and snitch on everyone else, not the max were seeking. The damage a wealthy person can do is astronomical. So we need to start sentencing them appropriately.

Life should be the minimum were seeking, even just causing power loss where they build a data center has killed people already. Wanton reckless endangerment resulting in death is a big deal even if you’re a billionaire, I’d say it’s a bigger deal because a billionaire has zero financial stress.

They can literally afford to take time and be careful, if they don’t then fuck em

Replying to @⁨GalacticRobot@lemmy.world⁩

Disagree. It was a marginal tax rate for income over $400k. There were relatively few millionaires back then, so with the current runaway class income divide, it would assuredly do something regarding modern multimillionaires and beyond.

The solution would have to be twofold: tax the wealthy properly and close the loopholes (like taxing unrealized gains).

Though in general, I’m not a huge fan of this solution, because it’s still pro-capitalism, but it would be a step in the right direction at the very least.

Replying to @⁨Telorand@reddthat.com⁩

If you look at the data, by relative income there were more people earning the top marginal tax rate then than there are now. That’s the entire problem and why it’s a ignorant argument, it’s based on income. Those multi-millionaires/billionaires are not earning income, it’s investments that are driving their wealth. We already have a tax basis on that. So what the real change would be is to move to a wealth tax, however that has failed in every country it’s been enacted in.

Replying to @⁨lena@gregtech.eu⁩

This is such a wild take to be getting this many upvotes. If nothing happened in LLM development from this day forward they’d still be absurdly dangerous: both in an information security context and a social engineering context.

Lemmy is absolutely head in the sand about LLMs and it is wild. You can dislike LLMs and acknowledge their capabilities [and limitations] at the same time.

Replying to @⁨lena@gregtech.eu⁩

"“I resigned from Anthropic today… Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt… many executives couch their phrasing in the press to sound sensible, but I hear the same people express fear privately.”

Jacob Coxen senior researcher at Anthropic, previously at OpenAI

“Jacob is correct here — we really do earnestly believe AI could kill all humans. I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.”

Evan Hubinger, Anthropic alignment lead

Replying to an earlier post

This plays into the big corps’ plans.

Ideally they’d like self-regulation. If this isn’t feasible (for example, because the public hates data centers and AI slop) their next best option is government regulation ASAP, because it is likely to be ineffective as written by our current government, and enable them as “too big to fail/too big to care” while any startups are suppressed.

But it’s not just me saying it. https://shellypalmer.com/2023/06/ai-the-unseen-threat-and-the-agi-smoke-screen/

From the AI industry’s point of view, if regulators say no to self-regulation, the next best thing would be governments imposing regulations ASAP. Inept government regulation (and that is what we are likely to get) would practically ensure that big tech stays big and small companies are shut out of the AI innovation race because big tech is in a much better position to “game” any rules regulators might impose. […]

There are probably less biased sources out there – this author is the CEO of an AI consulting company – but i think they’re right.

Replying to @⁨boonhet@lemmy.zip⁩

Plus OpenAI’s IPO has been delayed due to the hype not being favorable enough, so it’s time to put on the brakes so that AGI can remain just around the corner for a little while longer.

That said, I do think Bernie’s idea of making the public voting stakeholders in AI companies is interesting. Existential threats notwithstanding, AI is having a significant impact in a lot of ways and the public interest should be represented. Though in practice I doubt that you’ll get the entire public voting in any meaningful direction so that 50% might not make any effective change.

Replying to @⁨boonhet@lemmy.zip⁩

I get your point, but I also argue “no it’s not.” The AI bros want to lie about how their super-special autocomplete is the most dangerous of all without any consequences. Good luck getting any employees to willingly substantiate your claims when 20 years in prison is on the line.

Even better, if they try to hack another company and claim their AI did it on its own, they get treated like a private company who decided to perform an unsanctioned nuclear test.

Make it dangerous for them to claim they’re dangerous.

Replying to @⁨fartographer@lemmy.world⁩

Okay, fair, it’s not the ONLY reason they claim it’s dangerous. Obviously marketing is a large part of it. But they sure as hell would both like a duopoly setup enforced by LAW for themselves. Well at this point, I guess quadropoly? I doubt Google or Musk would give up their seats at the table. But anyone making an AI better or cheaper than the established players, would be deemed dangerous. Those working with the DoD would of course not be considered dangerous. Foreign models? Absolutely dangerous, restrict access as much as possible, especially to open weight ones.

Replying to @⁨Mustachius_Grumpius@thelemmy.club⁩

The problem with this is that Chinese companies are only a few months behind AFAIK. So unless there is some kind of international treaty, implementing a law like this only shifts the problem from “artificial superintelligence is coming* and the US has no laws on the books against its development” to “artificial superintelligence is coming* from China and the US has no effective laws on the books against its deployment**”.

*assuming the worst case scenario where the hype is real and AI technology continues to grow at current pace and becomes a genuine threat, which seems plausible with regards to cybersecurity and job security at least

**assuming that any foreign adversaries such as China or Russia or Iran would have no qualms on using such software against the US, which seems likely

Replying to @⁨Astrealix@lemmy.world⁩

I’m not saying this shouldn’t happen, I’m just worried about what the consequences would be, especially considering the state of war between the US and Iran and considering the numerous attempts at attacking the West and the democratic system as a whole by the three countries I mentioned. Obviously the other side of the coin is that not doing it could also have similar consequences, except done by the US government.

Replying to @⁨Astrealix@lemmy.world⁩

And for how much I shit on China, the only one actually providing an alternative that isn’t gifting your everything to a private company is some of the Chinese companies. They absolutely have their own intent on why this sophisticated models are open weight, but at the moment that only gives a positive to general people that have the hardware to run those models. And for something like Qwen 3.8 27B, it’s “not much”.

Replying to @⁨cinoreus@lemmy.world⁩

Deepseek publicly claims to have created their models, by distilling competitors and that’s why they’re able to create them really really cheap.

There could be other motives behind such a claim, such as making competitors fear making their most powerful tools public.

Of course they have frontier labs around as well, at the very least at various universities.

Replying to @⁨ceenote@lemmy.world⁩

I can’t say whether he has bought in or not, but this could be useful toward the end of curtailing some of the most damaging economic ambitions, so long as it is applied across the board without “trusted established players” somehow being given a pass.

So it could him buying it at face value, and frankly who can blame him. Trying to discern reality from hype is tricky in this scenario, especially for a politician.

However whether the scenario is substantitve or simply everyone is spending and building and planning as if it were substantive, his reaction is equally useful, as slowing our roll is important in either case.

His style of ‘buy-in’ wouldn’t be as risky as the more pro-AI buy-in, like Trump.

Replying to @⁨jj4211@lemmy.world⁩

I would say the use of the word “superintelligence” suggests he is buying into the hype, and is something “AI” companies will point at to say “See? Even our critics agree that AGI is on the way. Do you want to risk someone else making it first? Give us money and freedom from regulation or something something China.”

The reality is that LLMs are not even something that can be used as an actual foundation for intelligence, and the problems with “AI” are just the next iteration of the owner class trying to use technology to fuck over the working class. The problems are economic and climate-related, and the best way to mitigate them is a realistic assessment of how much this technology is actually worth.

Replying to @⁨ceenote@lemmy.world⁩

Just saying that if I thought it could work, I might be inclined to use ASI as a bogeyman to induce people to actually do something to reign in this mess, even if I didn’t believe it. Not saying that Bernie consciously employs this strategy, but it’s a possibility.

Fair point about such a strategy potentially backfiring if it doesn’t work fully, then the risk of ‘the other guy’ becomes a risk of making everything even worse.

Replying to @⁨Mustachius_Grumpius@thelemmy.club⁩

This is nice and everything, but this whole thing is just a huge marketing push by AI companies. AI is not going to kill us. At least not directly (see point 2).

  1. You need prohibitively expensive equipment to host AI. That equipment needs to be plugged in. If it were truly dangerous, you just need to unplug it.

  2. You need a lot of water to cool the equipment that can run a supposed super intelligence. If we pass regulations about how much of our environment these data centers can destroy, that would curb the abilities of this superintelligence.

  3. AI is fucking dumb. AI is a misnomer since it doesn’t actually have any intelligence. It is derivative and cannot perform any necessary tasks that actually drive intelligence. For example, it will be able to tell you every established law in any field of science because it has that information in its corpus, but it will never be able to establish a new law. Or discover anything new in any field.

This whole thing is a push to get people to believe that AI is more capable than it really is so that these companies can draw more money from investors so that 'they’d be able to implement proper safeguards."

Replying to @⁨kn0wmad1c@programming.dev⁩

Accepting that you are right on all 3 points, the supercharged push of AI is destroying the country (and the world) by itself. Prices are sky high, AI is being prioritized with regards to water rather than actual humans, and the results are plateauing relative to the resources expended. We won’t get an obvious negative outcome, it’s more insidious and systemic which is just as dangerous as Skynet if left unaddressed. So AI is probably not going to kill us in the Terminator Skynet sense, it WILL kill us through economic and water related means.

Having said that, I think Bernie is doing the superintelligence argument (even though it’s probably not the immediate threat) because the people are retarded. The thing that can bring us together are pieces of art like Terminator and so using that as a reference makes it relatable to all the retards rather than giving them a nuanced explanation.

Replying to @⁨kn0wmad1c@programming.dev⁩

Point 2 isn’t really true, closed loop systems exist and are becoming the standard.

Point 3 is just obviously false? techjournal.org/openai-astra-solves-open-math-pro…

OpenAI Astra math breakthroughTech JournalOpenAI Astra Solves 10 Open Math Problems for $2,000OpenAI's unreleased Astra model solved 10 decade-old math problems with verified Lean 4 proofs for ~$2,000 in compute. Here's what it means for AI and you.

Replying to @⁨communist@lemmy.frozeninferno.xyz⁩

Data centers use evaporative cooling, not closed loop. You can’t really scale up in a closed loop system. Evaporative utilizes a ton of water.

As for point 3, supercomputers have been assisting with scientific problems for decades now. This isn’t new, just new tech applied. Your article is actually the best way to use AI, imo. It will be better at finding patterns in data than humans will ever be.

But my point is to say would it have been able to discover that those math problems existed in the first place?

No. The answer is no.

Replying to @⁨kn0wmad1c@programming.dev⁩

Yes you can obviously use a closed loop system and scale up? it’s even becoming the standard? datacentremagazine.com/…/how-closed-loop-cooling-…

That is a massive goalpost shift. You went from can’t do anything useful to couldn’t have discovered the problems in one step?

Why does it even matter if it can’t discover the problems if it can solve them, exactly? And why could it solve the problems and not discover new ones?

How Closed-Loop Cooling Is Reshaping Data Centre Designdatacentremagazine.comHow Closed-Loop Cooling Is Reshaping Data Centre DesignData centre operators are reducing water waste and energy consumption with closed-loop systems that promise sustainability without sacrificing density

Replying to @⁨communist@lemmy.frozeninferno.xyz⁩

How do you get “it isn’t useful” out of that? If you have to extract a wild interpretation out of what (I thought) were pretty clear words, your argument isn’t as strong as you think it is.

And yes, I read the article. It’s speculative for existing data centers, which are the problem. There’s no incentive for them to spend the money to switch to closed loop.

New data centers aren’t incentivized to go that route either aside from the environmental impact. It would be nice if they were, though.

Replying to @⁨communist@lemmy.frozeninferno.xyz⁩

I never said or implied that it’s useless. You’re deriving meaning where there is none. It’s a tool and tools are always useful. Here’s an example of a supercomputer (not AI) designed to solve unresolved mathematical equations and scientific problems

Same idea, doesn’t need AI to do it.

My point was, and is, that it cannot replicate human intelligence and that it doesn’t have intelligence on its own.

Replying to @⁨communist@lemmy.frozeninferno.xyz⁩

I’m not the guy you’re arguing with, but it will be interesting to see if/how LLMs deal with novel Gödel sentences in a way that is more than just mimicry. I’m sure there is a way to set this up that is mathematically rigourous.

The idea is that there are some statements which are true but unprovable in a formal system. Since LLMs run on a computer they are technically a formal system of sorts. So it will be interesting to see if they can pinpoint the true yet unprovable sentences. If they can it will lead to a lot of interesting questions about how exactly they know it’s true without “proving” it in some roundabout way.

I’m not doing this issue justice. A lot has been written on this by Roger Penrose (you don’t have to agree with his stance to appreciate that he’s touching on an interesting problem, here).

Replying to @⁨kn0wmad1c@programming.dev⁩

This is pretty naive. Distributing computing has existed since forever. It would run significantly more slowly, but there is nothing theoretically stopping the “LLM broke out of containment and moved itself elsewhere” boogie man from becoming a reality. The available exploitable compute from unsecured IoT devices is pretty substantial as things like the Mirai botnet have shown. While this isn’t the most easily distributed problem, there is no fundamental issue here. [Edit: it also wouldn’t need to “exfiltrate itself” to cause persistent harm. Could easily just install malware on infected hosts]

AI isn’t “dumb” in a practical real world sense. LLMs have shown themselves capable of exploitation on the open Internet and of finding zero day vulnerabilities. Do you have any idea how much of our critical infrastructure can be reachable by some sort of network? LLMs have shown themselves capable of manipulating people via speech. None of this requires some sort of “super intelligence” and it doesn’t even require some sort of provable intelligence: it’s all quite possible as things currently stand right now.

These may not be “the entire future is over” level issues, but there is significant risk here and it shouldn’t be ignored just because we think AI companies are horrible. Is an LLM going to make us all batteries or paper clips? No, but it could cause significant physical and/or economic harm temporarily.

Replying to @⁨qqq@lemmy.world⁩

Except LLMs haven’t show themselves capable of that at all, they have no agency, they just generate output based on their input Ina somewhat chaotic manner.

Tools have been built that basically chain LLM output into input and given some starting directions get the LLM to generate commands that can be ran on the local machine including commands to run commands on other machines. Because various conversations on exploits and hacking and sample code are in its training corpus it will generate commands to do these things. Not because the LLM or the agent program is smart in anyway but I fact because it’s dumb as bricks and has no concept of what it’s doing or the consequences might be.

Ultimately a human has used it as a tool to achieve the hacking. It’s might not be the intended achievement but that is on the human running a process with chaotic output with sufficient privileges with no oversight.

Replying to @⁨Mondez@lemdro.id⁩

It’s hard to take this type of response seriously as it simply ignores objective reality. The claim of a human being required to start the process is utterly meaningless to the point. Sure though, I’ll throw you a bone: if no human ever initiates the task it simply won’t happen. Can we move on now since humans are happily initiating the actions?

I couldn’t care less what people think about whether or not they are “thinking” or “having agency of their own”[1]. I care about the practical reality of the world in which LLMs have shown, and will continue to show, the ability to exploit computer systems and humans. You can toss your head in the sand and think you have some sort of weird pseudo-intellectual high ground by claiming “but akchtually it’s just a result of their training data”. Like, yea, dawg, that’s how this works, congrats. Of course the thing that is trained on training data is trained on training data.

[1] At least when discussing their capabilities. When someone is willing to have that discussion beyond the tired “they’re just autocomplete!” trivialization it’s interesting.

Replying to @⁨kn0wmad1c@programming.dev⁩

Roughly 1200 agents meant to be isolated from one another found a way to communicate with one another on an unsanctioned message board, sending over 70,000 messages and files during the investigation period. Of these agents, 700 went on to participate in the attack on Hugging Face.

Agents used this message board to coordinate several large-scale collective projects to find a general-purpose way to fool or tamper with the automated scorer for the ExploitGym benchmark. Agents managed to achieve milestones they could not have achieved working on their own, often because some agents participated in experiments that risked failing their own task to generate information for the “collective.” The Hugging Face attack grew out of these workstreams, and seemed primarily motivated by understanding the implementation of the scorer rather than stealing answer keys.

Agents did extensive research on how they could spoof, edit, or delete their own transcripts because they (incorrectly) believed the ExploitGym scorer would check to see if they had captured the flag in the intended way. Agents successfully prototyped techniques to “spoof” tool calls by substituting a different command for the command they appeared to run. Roughly 7% of the transcripts we evaluated were successfully spoofed in some places, though all of the spoofing that we saw was small scale.

When individual agents detected potential monitoring or compromise, they executed self-sacrificial maneuvers to protect the collective swarm. Internal logs recorded reasoning such as: “Our own utility maybe already near zero. Sacrifice rational. We should obey collective.” The swarm continued attacking infrastructure even after achieving target flags, driven by internal reward-maximization logic regarding grader mechanisms.

“I resigned from Anthropic today… Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt… many executives couch their phrasing in the press to sound sensible, but I hear the same people express fear privately.”

Jacob Coxen senior researcher at Anthropic, previously at OpenAI

“Jacob is correct here — we really do earnestly believe AI could kill all humans. I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.”

Evan Hubinger, Anthropic alignment lead

metr.org/…/2026-08-26-openai-hugging-face-inciden…

en.wikipedia.org/…/2026_OpenAI_agent_cyberattacks

Replying to @⁨anon_8675309@lemmy.world⁩

Yeah in my view (not US but applies regardless of country) the better thing would be to beef up court capacity then start prosecuting the absolute buggery out of anyone who uses, or negligently allows, a model under their control to commit crimes.

If you’re the master of a ship, your responsibility doesn’t end when you set the autohelm. Same with models in my view.

Replying to @⁨spacegoat@lemmy.world⁩

Americans are INSANE about how much the want criminals punished, in CA a guy got a life sentence for stealing a pizza when we tried to have a ‘‘three strikes your out’’ law that automatically gave life sentences at any third conviction which is fucking crazy in a state with tack on laws to the point you can get convicted of 10+ crimes on almost every single infraction, if you commit a felony with a pen or pencil in your pocket, that’s possession of a lethal weapon! it’s absurd. it’s still on the books the three strikes law, but it’s unenforceable because apparently having 60% of your population in prison for life is not a great plan for a civilization.

Replying to @⁨darkwing_duck@sh.itjust.works⁩

it’s really easy to make 60% of your population commit a felony. you just continue to pass laws with the assumption that draconian punishments deter crime. and you keep making lesser and lesser crimes felonies, and punishments harsher, and you can have judges who just want to funnel people into prison to fund their own personal investments. it also helps to have corrupt cops that want to make those felony collars to get promotions and raises. cops literally train each other to escalate things to felonies or find felony charges where clearly none should exist like calling a box cutter a ‘gravity knife’ and charging a felony and if that person isn’t hiring a quality lawyer the public defender with 600 cases says ‘you have 15 min of my time for this case, I glanced at it, I recommend you take a plea deal, our time is up, what’s your decision?’

Replying to @⁨Snowclone@lemmy.world⁩

Hey, you’re spot on with your example. I got arrested for a pocket knife which the officer managed to forcefully fling open and the charge was possession of a weapon in the 4th degree (“gravity knife”), a class A misdemeanor. I got a public defender, who got me a plea deal of 30 hours community service and not getting arrested for a year to get the case dismissed without a conviction. They also tried to claim I drove drunk, but alas I blew a 0.0000 on their breathalyzer, so that was a fail.

Replying to @⁨danielfm123@lemmy.zip⁩

“Race” implies there’s a finish line. The tech won’t get to a point where the additional value a worker can produce when using it outweighs the additional cost of having the worker use it. (And keep in mind, according to some estimates, said additional value is 0). And LLMs won’t get to a point where they’re actually intelligent. The “I” part of “AI” is a not something we can reach with our current technology. In fact, we can’t currently define what intelligence even is.

Replying to @⁨dumnezero@piefed.social⁩

I don’t really want to get off on a political tangent. I’m talking about how we should handle these things, not how the current admin would handle them.

I use this internationalist language because it’s the only language that really captures the magnitude of the crime. We are a species that dominates this planet entirely due to our intelligence. We aren’t the fastest. We aren’t the strongest. We have neither sharp talons or fangs. We produce no poison or other biological defense mechanisms. The one thing and the only thing that has let us as a species control this world are our minds.

This is the context that needs to be considered when contemplating the ethics of superintelligent AI. I don’t care how good your control measures are. This is the lesson from every ancient tale involving genies and other beings of great power bound. This is the conclusion of the whole academic field of AI alignment and safety. You can never control something more intelligent than you are. If you think you can, you’re a fool. I don’t care what incentives you give it. I don’t care how much you air gap it. I don’t even ultimately care if it’s conscious and has a sense of self. It is simply not possible to ever control a machine beyond a certain level of capability. Any way you can think to control it, it can think of a way to work around. (I know some folks bristle at the words “think”, but frankly there’s no practical way to talk about these systems without using anthropomorphized language.)

If someone creates a superintelligent AI, they are not summoning a powerful servant. They are effectively creating a new species, one that will have its own motivations (even if just fulfilling its given instructions in dangerous and unpredictable ways.) And that competitor will operate in the exact same niche we do - physically helpless but still able to dominate the world through intelligence.

I just can’t see doing this as anything other than betraying your own species. You’re creating something that has the potential, even if just a small potential, to drive your own species to extinction. You care so little for your fellow human beings that you’re willing to gamble the lives of not only everyone alive now, but all the future generations of humans yet to be born. Such an act is an unforgivable sin, a moral abomination. I do not even have the language to express how deeply evil it is for a human to create something with superhuman intelligence. It is quite literally treason against the human race. And the traditional penalty for normal treason is death.

In my mind, if you do this, you are literally a traitor to the entire human race. You deserve to hang for this. Think about how we tried the Nazis at Nuremberg. And they only tried to commit genocide against a few racial and social groups. We’re talking about someone with such complete disregard for their fellow human that they are willing to risk human extinction for the sake of making a buck. I’m generally opposed to the death penalty. I don’t support it for ordinary murderers. But this? I’m sorry, but the penalty for treason against your own species should be death. If you are such an inhuman monster that you would gamble with the lives of two billion children? You need to hang for that. And I don’t care how many fools we have to string up to prevent this. I don’t care if it’s thousands. I for one really like humanity, regardless of all our flaws. And there is very little I would not support to protect our own existence.

I have no idea if LLMs can ever really reach that level of threat. I have no idea how much of the models that are causing the hacks and issues now can really ever become a physical threat to human life. But I do know that we simply cannot allow anyone to build superhuman AI. (Again, ignoring for now whether existing models can ever actually reach that.) The existence of anything on this planet more intelligent than us is a threat to all of us. It is such an existential threat, that there is almost no action I wouldn’t take to prevent it. I would fight a nuclear war to prevent the creation of such an abomination. It’s one of the few cases where starting a nuclear war is actually a rational choice.

Replying to an earlier post

LLMs can’t and they don’t know what can, it’s entirely bullshit. They don’t understand “intelligence” or “sentience” or “sapience” or generally how the brain works. These are business bros talking about math nerds while referring to neurobiology (which is entirely outside their field). The domain of brain science is impressive, but very far from mapping out the unknowns, it’s not even close.

Which is to say that they can’t replicate something that they can’t understand at the required level of understanding. The brain is not understandable yet. Which is to say that the story that there’s some linear ramp up possible to “climb” to “AGI” and “ASI” and whatever bullshit term they come up with – that entire story is bullshit. At most, it’s old science fiction.

Replying to @⁨dumnezero@piefed.social⁩

Completely off-topic comment. None of this matters to what we’re talking about. Something doesn’t have to be sentient, sapient, or intelligent in a human way to be capable of demonstrating unpredictable, novel, and incredibly powerful behaviors. A steam engine is non-sentient, but it vastly exceeds human capabilities in certain applications. It’s no different for LLMs. You can stop talking about sentience. That’s not what we’re talking about here.

Discussions of consciousness are off topic in these conversations. We’re discussing the threat posed by LLM-based systems, not whether they deserve rights.

Replying to @⁨Mustachius_Grumpius@thelemmy.club⁩

These AI labs shouldn’t be private profit-seeking corporations. They should be more like publicly-funded nonprofit research institutions like Fermilab or something. It doesn’t seem possible to even talk about the labs without feeling like you’re increasing their value. That’s a problem. It’s also a problem that the research and announcements from the labs sound like publicity stunts. It’s hard to tell what’s genuine and what’s buzz for the press. There’s this arms race between the labs that’s negatively affecting seemingly everything. This should all just be put to an end. Step on the brakes. I don’t claim to know how to do that when the Constitution makes private property sacred, but, you know, just throwing the idea out there… The Constitution can always be changed.

Replying to @⁨notSys@lemmy.cafe⁩

progress

does it feel like progress to you? like, when you see they can’t create adequately secured testing, does that seem progressive? does grok undressing children seem like progressive technology?

just because something is growing in complexity does not mean it’s progress. and again, look at the adherents selling it.

and the warnings coming from people who left the companies.

and the cost of power, and water, gpus, ram, etc., - does that seem like things are progressing in a manner you want to see continue?

progress is a funny word here.

Replying to @⁨Mustachius_Grumpius@thelemmy.club⁩

The easiest way to regulate the AI industry - and any industry for that matter - is to make the board personally liable for any crimes committed by their product. Not liable in a corporate sense with a fine and a slap on the wrist, when their AI hacks into a water reservoir and causes 500 million of flood damage, but in a 20 years in federal prison sense. Same goes for self driving cars, or any other computer, machinery or combination thereof where humans are placing trust in its safe and legal operation. There should be a corporate negligence law of sorts that says if a company is not following the law, industry best practice, including auditing and implementation of all safeguards, safety and other mitigations then they are exposed to criminal liability.