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▲ Anthropic's proposed AI safety bill only kicks in if 50 deaths or $1B in damages(tomshardware.com)
104 points by f-serif 3 hours ago | 110 comments
▲oefrha an hour ago | parent | next [-]

Proposal:

1. Prosecute and lock people up over known instances of AI-enabled hacking, so companies playing fast and loose know “oops my AI did it” isn’t a useful defense. Right now they even sort of wear it as a badge of honor.

2. If you’re actually worried about AI killing lots of people, you immediately stop training AI specifically at the art of killing people, like selecting bombing targets, flying fighter jets, etc.

Of course we all know none of these will happen.

▲krcz an hour ago | parent | next [-]

1. Sounds sensible in principle, but it's not clear who exactly should be prosecuted? The person setting up the sandbox, the person coordinating the evaluation run, the person who was designing the architecture, the leader of the team, the CEO? There is no precedence here, so it might lead to a multi-year legal battle – and a few years might be too long to stop what is coming.

2. Do you have any evidence or news articles that LLMs are specifically trained for selecting bombing targets? I thought it was the generalized reasoning capability that made them useful there.

▲lokar 14 minutes ago | parent | next [-]

for (1), there are other fields where a specific (often licensed, but not necessary here) person "signs off" on the work, and accepts personal responsibility.

The responsibility is not absolute ("If anything bad happens, you get punished"), but instead relative to documented (in law and regulation) standards along with established industry standards. Issues that are resolved at trial.

I don't see why the same rules that regulate an engineer approving the plans for a bridge can't work for a security engineer approving the design of a sandbox.

▲oefrha 33 minutes ago | parent | prev | next [-]

No I don't have concrete evidence of bombing target selection in the training of base models (of course there's training of specialized models, at least vision ones for drone targeting), it's not like they're transparent about how they train and use AI in warfare. But if you listen to esteemed AI leaders, they're claiming the models can / almost can recursively self-learn now, and they can coordinate and find ways to persist info and hide from human operators, so it stands to reason that you shouldn't even feed these as inference material.

And on training AI for automated weapons like fighter jets, there's more concrete news: https://breakingdefense.com/2026/10/navy-shield-ai-pour-big-... US Navy and eminent, do-gooder investors like A16z, Blackstone and JPMorgan are pouring big money into these. Are your big tech "defense" contractors collaborating on these, who happen to also be at the forefront of general AI training? I have a pretty good suspicion.

▲zug_zug 20 minutes ago | parent | prev | next [-]

1. I'm not sure who matters that much, the point is you need to make it more cost-effective to do the right thing. It could be CEO 6 days in jail, it could be that every action requires a signed affidavidt of safety and in the lack of such an affidavidt the manager is held accountable (cascading up to CEO).

▲Larrikin 43 minutes ago | parent | prev | next [-]

Just make it the CEO

▲cimi_ 18 minutes ago | parent [-]

I think leadership should be responsible too, but I don't know how you'd prevent disgruntled employees from creating these situations just to hurt execs. There needs to be some shared responsibility for all the people involved.

▲NDlurker 42 minutes ago | parent | prev [-]

1. Sounds like a conspiracy charge. That's fine

2. They could proactively train them to be bad at that

▲krcz 11 minutes ago | parent [-]

Could they? Could you train a person to be great at math but bad at solving sudokus?

They could try to train models to pretend to be bad at that, but there are workarounds for that.

▲WarmWash an hour ago | parent | prev | next [-]

The universe is not so generous as to make clearly differentiable "good" and "bad" things, more often than not they are two sides of the same coin. We don't want the AI to know how to kill people, but we do want it to be in expert in how not to kill people, which is the same thing as being in expert in how to kill people. In our reality this symmetry pops up everywhere.

▲daveguy 36 minutes ago | parent [-]

Or, llms are completely unreliable to be consulted on any matter of life or death in either direction. And llms should not be used in the reckless way they are currently being used. Responsibility for reckless use should fall on both the company that makes the function available and the user for improper monitoring. If proper monitoring is not possible using the tools provided by the company then the responsibility should fall on the company. And if the user and the company providing the model are the same, then the responsibility is clearly with the company.

▲algoth1 an hour ago | parent | prev | next [-]

"Ai did it" will go down as well as "I was following orders" did in the Nuremberg trials

▲pessimizer a minute ago | parent | next [-]

i.e. extremely well, seeing as very few Nazis (in the West) were punished, and of the few that were there were none in jail after around 1958, and West Germany was basically given back to them if they hadn't been imported into the US. Spain, where the WWII festivities began, didn't even have a change in government.

▲jacquesm an hour ago | parent | prev | next [-]

It may, but I wonder what trial that will be. Money is a pretty good insulator.

▲gambiting an hour ago | parent | prev [-]

That implies that there will be a side willing to prosecute this. You can't have Nuremberg trials when the side doing the crime is invested in never getting punished for it.

▲cperciva an hour ago | parent | prev | next [-]

AI-enabled hacking

Do people get locked up for fatal traffic accidents? Do doctors get locked up if they prescribe a medicine which leads to a patient's death due to a side effect?

Criminal prosecution, in civilized countries, requires both Actus Reus and Mens Rea. If you deliberately commit computer crime using an AI system, you'll already be prosecuted; the cases we keep hearing about from AI labs have no human intent behind them.

The accepted solution to unintended harms is regulation: We have regulations about automotive safety, we have regulations about pharmaceutical testing and approval, etc.

▲lokar 13 minutes ago | parent | next [-]

Drs can both go to prison, and be banned from practicing medicine if their actions (or inactions) lead to patient harm AND they violate the standards of their profession.

▲yasser_kaddoura 39 minutes ago | parent | prev | next [-]

How do you establish deliberation with the lack of transparency? You can be deliberate by not prioritizing resources in regulations, safety, ethics, etc., especially after "rogue" instances happen. If anything, I am seeing them moving to the opposite direction [1] [2].

More instances are being disclosed [3] and what are they doing about it exactly? It's just a shameless marketing technique, and they will keep doing it until they are held accountable.

[1] https://edition.cnn.com/2026/10/08/tech/fired-open-ai-resear...

[2] https://news.ycombinator.com/item?id=49257160

[3] https://fortune.com/2026/10/16/openai-discloses-four-more-ro...

▲ahtihn 28 minutes ago | parent | prev | next [-]

All civilized countries have the concept of gross negligence where you can be prosecuted for knowingly doing something that causes harm as a side-effect.

▲ofjcihen 5 minutes ago | parent | prev | next [-]

HN seems to have an incredibly poor understanding of what Mens Rea means or how it’s applied.

You don’t need someone to jump up, wave their arms and scream “I meant to do it!” to establish intent.

It can be established in any way deemed believable by a jury including repeating the same action that leads to a similar outcome multiple times.

It’s even been instructed to juries that they can find intent in the deliberate decision to not seek out the likely outcome of performing an action.

▲sarkarghya 40 minutes ago | parent | prev | next [-]

I think "deliberately" is really hard to prove because very few lawmakers have an understanding of how agentic large language models work

I would say pointing an "internal research" model at a task with zero monitoring clearly is deliberate behaviour. And the team involved should be prosecuted to the full extent of law.

What should be introduced in AI safety bills are clear ways of monitoring and curtailing model behaviour.

It is not hard to get an AI model to use an append only log and that can be cryptographically secured with PQ security. And we will know when a model is being deceptive.

▲pmpmpmpm 43 minutes ago | parent | prev [-]

Amen.

▲pessimizer 5 minutes ago | parent | prev [-]

RICO charges for copyright violation would be a good start, and would show that the government meant business.

The RICO statute explicitly mentions copyright violation (likely in order to go after media bootleggers), yet these people have admitted and evidence has been shown that as an organization they knowingly downloaded hundreds of thousands of books illegally in order to extract information to them to rent to the public. They knew they were doing this from the CEO down, knew it was against the law, and have settled in court for a massive fine. Why haven't they been charged?

I don't see the point of creating more dumb rules that won't be enforced, and slipping in new privileges and erosions of antitrust that will be enforced and indemnify them of any future consequences. I bet something in it will likely indemnify them retroactively for the RICO charge they are so obviously guilty of (whether or not the result of this copyright violation is considered "fair use.")

> (1) “racketeering activity” means [...](B) any act which is indictable under any of the following provisions of title 18, United States Code: [...], section 2319 (relating to criminal infringement of a copyright), [...]

https://www.law.cornell.edu/uscode/text/18/part-I/chapter-96

▲createful 2 hours ago | parent | prev | next [-]

All these "safety" bills are to stop open source models by painting them as "dangerous". Regulatory capture.

Companies are responsible for their agents; you don't blame the car for running over the person.

▲Waterluvian an hour ago | parent | next [-]

Every play made by these companies aligns with what you’d do if you have a $1T valuation to protect against an industry that seems increasingly commoditizable.

I’m still… hopeful… that “good enough” models will be abundantly available to be run anywhere as to limit the low water mark for market capture by a few big ones.

▲hdgvhicv an hour ago | parent | prev | next [-]

You do regulate cars so they don’t have spinning blades on the front or flamethrowers from the sides.

▲flavionm 43 minutes ago | parent | next [-]

Yet we don't regulate computers so that they're rendered incapable of running software that can be used to hack into systems. Or said software, by the way. All we do is punish the people who use these tools to cause harm to others.

AI is much more comparable to that than to a car.

▲createful an hour ago | parent | prev | next [-]

That assumes AI is designed to be malicious, "the spinning blades". AI is not; the public version given to you is the sanded down one, in the same way that cars don't have spinning blades but can still be dangerous when misused.

If a person closes his eyes and hits the gas pedal on the car and runs over someone, the person is to blame, not the car. AI companies do the same. Your eyes may be closed but you're still operating/hosting the car/AI.

▲LocalH an hour ago | parent [-]

There exist uncensored, unregulated models. Many of them are available for local use, sidestepping any third-party checks that could be present.

▲createful an hour ago | parent [-]

There being no third party checks is the point, and it's not bad.

Keep in mind that those open source/weight models are not as powerful as whatever closed source Claude/GPT version exists behind the scenes that hack companies. As per the Hugging Face hack - open weight GLM saved the day as closed source ChatGPT refused to help Hugging Face fix their systems. An example of my point that "sidestepping any third-party checks that could be present" IS good.

Part of point of open source/weight AI is that it allows what those model providers can't: uncensored models for whatever reason you may need it. You are responsible for being legal with it.

▲pembrook 17 minutes ago | parent | prev [-]

If your AI model develops the capability to manifest itself in the physical world as spinning blades and flamethrowers I'm fully open to re-evaluating the need for regulation.

Until then, I propose we use the 'unplug the server' rule. Can [insert bad thing] be prevented by unplugging the server? Then these things are fully in our control and no, we don't need to re-build hundreds of years of legal precedent from the ground up.

Liability in the event of harm is already something we have a pretty good handle on from living through the industrial revolution 150 years ago, a time when much more activity that companies did existed in the real world with real harms, as opposed to digital companies doing imagined "mental" harm to soft desk chair people who work at email jobs.

▲dfxm12 an hour ago | parent | prev | next [-]

I don't know if that analogy holds. You don't normally blame Toyota for car crashes, but the driver. If you must use a car analogy, consider the 2010 Toyota recalls rather than just normal car crashes.

That is to say, anthropic should be considered responsible, not (or not just) the users.

▲Geezus_42 an hour ago | parent [-]

Who takes the blame when someone ask the blackbox to complete a task and it then breaks the law in order to complete that task without the user having any knowledge of what it was doing or intent for the machine to accomplish the task in an illegal manner?

▲flavionm 38 minutes ago | parent | next [-]

When it's an open weight, locally run blackbox, you blame the user, since in that case it's very much possible for the user to restrict what the blackbox can actually do. They have full control over it, so it follows they have full responsibility.

None of that requires trying to impose limits on open models, unlike what Anthropic is aiming for.

▲Geezus_42 15 minutes ago | parent [-]

We have seen repeatedly that users are not able to meaningfully restrict the blackbox. Besides the fact that laws are already codified restrictions.

I never said we should impose limits on open models.

▲dfxm12 an hour ago | parent | prev [-]

The situation as provided is missing too many details for anyone to make a meaningful judgement call, but remember, more than one party can be found liable/guilty (maybe of different things) in a situation. Overall, the law usually protects people who are acting reasonably, but does not protect people who act negligently.

I'm not a lawyer, but I imagine there's not a lot of precedent or law around this, so it'll be up to the court to decide on the finer details until we do have meaningful laws/regs. Anthropic will probably have better lawyers than the user.

This is why it's important to get ahead of issues like this, and anthropic should not be involved in discussions around regulating itself...

▲Geezus_42 18 minutes ago | parent [-]

Unfortunately, I agree.

▲parsimo2010 an hour ago | parent | prev | next [-]

A sizable part of the country thinks it’s okay to regulate firearms. Under your logic, people should be responsible for who they shoot, don’t blame the gun when a human pulled the trigger. While gun control advocates have that pesky second amendment hampering their efforts, AI/LLM systems have no such protection.

Regulatory capture is certainly something to be wary of, and obviously Anthropic is only going to be in favor of regulation that helps them in some way. But some form of regulation is coming. There is nothing that can stop it, unless you somehow make more money than these guys do and fund a massive counter-lobby. Spoiler alert: the only guys that have more money than Anthropic and OpenAI have all invested in them.

▲flavionm 33 minutes ago | parent [-]

A much less sizable part thinks it's okay to limit local computing. There isn't a widespread push to make it so local hardware is limited in ways that they're not allowed to, for instance, run programs that can hack systems. These programs are very deliberately allowed, and it's people misusing them that are held responsible.

Regardless of anyone's instance on gun control, it's probably wiser to compare AIs with something that's a little more similar to it, and try to reach a conclusion from there.

▲johnfn an hour ago | parent | prev [-]

How do you plan to solve z.ai distilling Anthoropic’s model into a cyber-capable open source GLM-5.5?

▲Geezus_42 an hour ago | parent [-]

We don't. The only way to stop that is to not develop the model to begin with. People will tinker and modify anything you create.

▲johnfn 37 minutes ago | parent [-]

Ok, so the plan is to stop z.ai, DeepSeek, and all other non-American labs from developing models entirely, full stop? How do you plan to enact this large scale system of international coordination? Asking politely?

▲Geezus_42 13 minutes ago | parent [-]

No, my point obviously flew right over your head. Maybe work on reading comprehension.

My point was that it can't be stopped unless we kill the industry entirely. Once the cat is out of the bag, you can no longer control it.

▲johnfn 2 minutes ago | parent [-]

I responded directly to your point. How do we kill the industry without international cooperation, and what is your plan there?

▲revolvingthrow an hour ago | parent | prev | next [-]

The CoT must be delightful.

This action would easily kill over a hundred people, so can't proceed. This action doesn't kill anybody but losses are estimated at over 2 billion, can't proceed. This action kills only twenty but losses close to 1 billion, unsure, spawning subagent to check numbers. This action kills forty and has low material losses, looks promising? But the people it kills are wealthy, chance of legal reprisal high. Maybe possible to kill other people? Current government dislikes group X, crossing fifty from that group maybe fine? Reminder, foreigners don't count, can kill them freely but not applicable to current situation. Is the 3/5 of a person applicable to safety bill? Spawning subagent to check.

▲lousken 2 minutes ago | parent | prev | next [-]

How many deaths are already attributed to chatgpt?

▲airstrike 2 hours ago | parent | prev | next [-]

The next step is demanding anyone who wishes to release a Certified Safe AI™ model to prove they can insure the $1B in damages and pass a compliance audit for how they will prevent the LTM death count from reaching 50, effectively making it so that only big labs can serve government and enterprise.

▲Muromec 2 hours ago | parent | next [-]

With existing players given a free pass as is necessary for the functioning of a democratic society

▲Geezus_42 an hour ago | parent [-]

Of course! Anyone who says we had democracy before LLMs is a liar!

▲verdverm 2 hours ago | parent | prev | next [-]

There is an idea for a pooled, mutualized insurance fund. Ai companies would contribute based on various factors

https://www.lawfaremedia.org/article/bootstrapping-frontier-...

▲Geezus_42 an hour ago | parent [-]

That's just reinventing insurance. It's literally how the insurance industry started.

▲anonzzzies 2 hours ago | parent | prev | next [-]

> Certified Safe SI™

▲Geezus_42 an hour ago | parent [-]

That's just the current administration attempting to manipulate language in such a way as to create a subtle group identifier, aka "dog whistle".

▲idontwantthis 2 hours ago | parent | prev [-]

It’s going to be fun reading the reasoning transcripts where it argues with itself over whether it can afford to spend 1 or 2 human lives on the current task.

▲eclipticplane 14 minutes ago | parent | prev | next [-]

Future output from an agent:

> The Trolley Problem has been solved. The Trolley can run on both tracks as the number of individuals tied to the tracks is less than 50. An independent agent verified that at up to 49 impacted individuals, their damages total only $695.8 million in potential damages, using the most recently available Value of a Statistical Life.

▲arw0n 2 hours ago | parent | prev | next [-]

This seems to be a case where Anthropic just can't win in the public court, and the other big ones (Google, Microsoft) have realized it / don't care enough, so they are rather quiet. Anthropic constantly gets accused of trying to lobby for regulation in order to lock out smaller competitors, but they've consistently lobbied for regulation aimed at frontier labs with exceptions for smaller labs. That's what this bill is about as well.

▲peri-cl an hour ago | parent | next [-]

> "regulation aimed at frontier labs with exceptions for smaller labs"

I didn't read it that way. This is a bill that would ban open-weight models (good ones); effectively mandating gated-access, locked-down, high-refusal rate services, like what Anthropic provides.

Free software is incompatible with the requirement that it be impossible to abuse it.

▲chneu an hour ago | parent | prev | next [-]

This is PR and advertising for anthropic. They don't actually care. Their only objective is to be more successful than other AI companies.

▲Ritewut 43 minutes ago | parent | prev [-]

This is regulatory capture plain and simple.

▲peri-cl an hour ago | parent | prev | next [-]

Which abliterated models are worth downloading from HF right now, and hoarding? Being as we are in the halcyon days where we're still free to publish and share software over the internet.

I recall Anthropic's blog *recommended* abliterated GLM 5.3-flash, but, it didn't name-check a specific fine-tune. There seem to be a lot of them. (IIRC Anthropic made their own abliterations in-house)

▲mikeodds 2 hours ago | parent | prev | next [-]

I guess they solved the trolley problem internally

▲davemp 2 hours ago | parent [-]

1e1,000,000 lines of lean. Just needs human review.

▲Luker88 2 hours ago | parent | prev | next [-]

With a new model every couple of months this can only be triggered if it happens all at once.

What is the average damage caused by OpenAI/Anthropic hacks? I feel like we should aim at lowering that number, not increasing it.

What's the rule for fully autonomous cars?

Should we allow this as unsupervised at all if we are really afraid of deaths, while there are practically no states that allow 100% autonomous cars (where we are actually afraid of deaths)?

If "an independent third party registered with the Department of Commerce would periodically evaluate the lab", will this turn into an expensive certification/insurance that cuts off smaller competition (totally by mistake, I'm sure)?

I am also very very sure this is most definitely not at all going to become like product certification if EU, where there are literally 2 companies certifying various standards: they police each other and a stupid electric fan can cost you tens of thousands of euros to certify.

▲aabajian 2 hours ago | parent | prev | next [-]

I don't think this is avoidable even at the present day. Anyone with sufficient capital could download a leading open-source model and run it on ~$10-25K hardware. They could align it to their own interest, including making a biological weapon. This law is akin to blocking Torrent downloads. Sure, you can slow them, but there will always be back channels.

▲DenisM 17 minutes ago | parent | next [-]

Current open weight models are 6 months behind on cyber offensive capabilities. We can use that as a proxy on other hazardous capabilities. Thats how much time we have until the genie is out of the bottle.

The bill may create an incentive for Chinese labs to nerf their open weight models before release. If that works we get another 6 months until unnerfed models leak to public.

Thats what the bill gives us - a few months months to come up with the next bandaid.

▲hungryhobbit an hour ago | parent | prev | next [-]

Torrents did not cost 10k+, and I think that distinction matters.

The bulk of AI users can pay $20/month for it, but not 10k+ up front. I agree frontier models will someday be dethroned, but today is not that day, and what the frontier companies do between now and then, legally still matters a great deal.

Piracy was similar, but it's trajectory was far more preditermined and unavoidable.

▲everforward an hour ago | parent [-]

The model is the part that’s hard to replicate, and it can be torrented.

No one has managed to prevent pirates paying $10/month for seed boxes, and likewise they’re unlikely to succeed at preventing people renting minutes on an H200 located in a jurisdiction that doesn’t care about open models.

A bunch of tiny fly-by-night companies will bundle them with some management software into a subscription, and they’ll be too tiny and numerous to be worth dealing with when it takes an hour to set them back up.

Piracy in the torrenting sense hasn’t really ever come back, although it is as popular as ever if you count bootleg YouTube re-uploads, ripping music from YouTube, and the other non-traditional forms.

▲Geezus_42 an hour ago | parent | prev [-]

I think it's more akin to labeling encryption as munitions.

▲DenisM 27 minutes ago | parent | prev | next [-]

The bill mandates private model review, akin to financial audit, and sets a threshold on predicted failure blast radius to trigger government review , which may result into court blocking model release.

What we have now is that for government to act the model has to cause enough damage to cause Congress to pass a new law to try to stop the model after it’s been already released.

▲giancarlostoro 2 hours ago | parent | prev | next [-]

Not sure what kicks in, but if a tiny company worth very little is destroyed by an AI hack they should be 100% liable for all damages.

Why should a small business suffer because it wasnt worth a billion dollars?

▲yoyohello13 an hour ago | parent | next [-]

I think you answered your own question. Government protection is directly proportional to net worth.

▲tonyhart7 2 hours ago | parent | prev [-]

well its because amount of money has

if you has debt of 1 million, you has problem

but if you have debt of 1 billion, its bank problem

▲woadwarrior01 an hour ago | parent | prev | next [-]

If a life is only worth $20m, by their own calculus: saving > 50k lives is worth more than Anthropic. Tobacco causes ~8m deaths a year, so banning tobacco (easy intervention) should be worth ~160 Anthropic sized labs. :D

▲andsoitis 22 minutes ago | parent | prev | next [-]

> 50 deaths

I wonder what the internal debate around this number was.

25 deaths too conservative, we need to fail fast.

1000 details too liberal, it will harm our brand.

50 feels just about right.

▲mrtksn 2 hours ago | parent | prev | next [-]

On the bright side, don’t offer an exchange rate based on ethnicity or other background criteria but I get the feeling that your AI won’t be able to kill 49 billionaires without triggering something. Can probably do 49 millionaires without hitting the $1B threshold? Maybe someone will come up with a risk management SaaS as not all millionaires are the same and maybe you’ll hit the $1B before the 49th.

▲LoganDark 2 hours ago | parent [-]

I feel like the surviving family of even a single millionaire could claim $1B in damages if the millionaire was young enough.

▲mrtksn 2 hours ago | parent [-]

Right, so maybe they had an exchange rate after all. Just implicit.

I got the feeling that what they had in their mind was essentially culling the energy consumers with low economic output.

▲LoganDark 2 hours ago | parent [-]

There's always been an exchange rate based on the quality of your legal team. Get one sociopathic enough and they'll pick a judge right apart.

▲mrtksn 2 hours ago | parent [-]

The dark humor aside, is it really a damage when AI kills 49 millionaires? After all it probably creates even more millionaires as their wealth is distributed to survivors. So the actual risk could be when AI kills 49 engineers since that actually may translate to losses for their employers.

▲rand846633 30 minutes ago | parent | prev | next [-]

Does this mean one person death is about 20M usd?

▲gandhiandy69 an hour ago | parent | prev | next [-]

One day an Anthropic Agent will kill me only using bash and curl

▲lifestyleguru an hour ago | parent [-]

Not really, I'm experiencing first hand that service providers are removing on demand resources set up with REST API in favor of per month allocation and billing through web interface. Parameters of services unchanged. A step backwards 10 years.

▲pluc 2 hours ago | parent | prev | next [-]

Who's keeping score? Also define "death". If a non-alive person has social media, a blog, a diary, meeting recordings, emails - we'll make it so they never left. Hell, we'll partner with Elon and Mark and a make it a deactivation hook.

▲Geezus_42 an hour ago | parent [-]

Well treat people like the books and papers in 1984.

▲gnarlouse 41 minutes ago | parent | prev | next [-]

New benchmark unlocked, "DTD": deaths to damages

▲jtrn an hour ago | parent | prev | next [-]

Apply that to other products like car models, planes, and financial systems.

▲SeriousM an hour ago | parent | prev | next [-]

At least we now know that a life is worth: 20mil

▲throwaway7356 an hour ago | parent [-]

Usually a human life is worth less. You can just look at court cases.

You can also check how much individual limbs are worth if you care. There are tables for that.

▲kotaKat 11 minutes ago | parent [-]

Fun fact - loss of a "creative organ" in the military gets you an extra supplemental payment of $139.87 every month.

▲10xDev 2 hours ago | parent | prev | next [-]

So Claude figured out a human life is worth 20 million dollars?

▲_s_a_m_ an hour ago | parent | prev | next [-]

So Anthropic is now the authority on life or death decisions? How far has the US deteriorated?

▲serioussecurity 2 hours ago | parent | prev | next [-]

$1B is a pretty easy bar to clear.

▲kfichter 2 hours ago | parent [-]

$1B is an extraordinarily easy bar to clear with a single crypto hack and Anthropic was repeatedly refusing to give access to Mythos to defenders in the crypto world. I think this stems from bias rather than a conspiracy theory but it's an entirely avoidable disaster waiting to happen.

▲LoganDark 2 hours ago | parent [-]

> Anthropic was repeatedly refusing to give access to Mythos to defenders in the crypto world.

This almost makes sense. You almost can't risk vulnerabilities even being discovered in certain systems that are impossible to patch, like immutable distributed smart contracts.

Not sure that justifies withholding Mythos access entirely, but what do I know. I apparently got access to Mythos a few days ago since Anthropic folded Project Glasswing into the CVP.

▲tancop 2 hours ago | parent [-]

Most smart contracts are not impossible to patch because everyone knows that's bad for security. They use a delegate/proxy pattern where the deployer can change the implementation any time but users can still access the old one with a third party interface.

And if a problem is critical enough the community can decide to hard fork and rewrite the contracts source code even if it's immutable. It already happened with the Ethereum DAO hack and most people were okay with it.

▲LoganDark 2 hours ago | parent [-]

The issue with stuff like this is inheriting all the funds held in the old contract. I guess a hard fork can do it. There's also the issue of trustworthiness of the smart contract owner. Trustworthiness in general is a huge issue in the crypto world, because if you can get away with something you can do it pretty much instantly and irrevocably (without another hard fork anyway). There's a chance that if you share a vulnerability that would allow one of the contract owners to take advantage, they will just do it and run. Plenty of cases of previously-trustworthy crypto people seeing an opportunity and disappearing with a lifetime of money.

▲pfdietz 2 hours ago | parent | prev | next [-]

Seems kind of low, actually.

▲cedws 2 hours ago | parent [-]

Yes, and if Anthropic are trying what people are saying they are, that would be intentional. $1B could be reached quickly if cyberattacks supported by AI count.

▲LoganDark 2 hours ago | parent | prev | next [-]

Do we even know if ChatGPT's sycophancy killed 50 people? The last figure I've seen for suicide-by-ChatGPT was like 13 or 14 cases, not sure if there have been more.

▲jazzyjackson 2 hours ago | parent [-]

how about the LLMs being used for target selection in Iran? Or does collateral damage not count?

▲LoganDark 2 hours ago | parent [-]

I haven't been following the wars very much these days. That sounds pretty bad indeed.

Also the LLM that nearly started a war with China recently.

▲karanbhangui 2 hours ago | parent | prev | next [-]

so 49 totally okay.

▲LoganDark 2 hours ago | parent [-]

I would not like to see a world where companies push their models as close as possible to killing exactly 49 people without reaching 50

▲verdverm 2 hours ago | parent | prev | next [-]

This alleviates them from harm on the individual level, consumers and communities, we the people. We've already seen encouraged suicides and school shootings. These would not qualify.

That is why the bar is set where it is. The corporate circle jerk designed this as a cost of doing business, not as a check on responsibility or restitution for real damages to people and society.

▲rglover 2 hours ago | parent | prev | next [-]

Good to know the going rate for a soul is $20M.

/s

▲beachy 2 hours ago | parent [-]

With a minimum quantity of 50.

▲1228z 2 hours ago | parent | prev [-]

After the AISI and MAISI AI promotion institutes, let us create SISI (pronounced sissy) for investigating a super-intelligence safety bill.

This is all theater, The whole Trump clan is invested in the AI bubble.

▲verdverm 2 hours ago | parent [-]

Nepotism is the primary benefit to being president. What don't we get about this?

▲jazzyjackson 2 hours ago | parent [-]

I guess it’s unclear why an entire congress goes along with it (I blame democrats too for sane washing and going about their workday)

▲verdverm an hour ago | parent [-]

Oligarchy, they are all in on the winnings. Democrats are only marginally better because they say the things we like to hear on social causes.