They implemented both those things, but only apologized for the first. They’re doubling down on the second.
My limited experience with fable over the last few days suggests (1) I can’t see any improvement in output, and (2) it is useless for writing secure software because it constantly hits safety walls if you ask it to close security holes.
I’m definitely shopping around for other LLM providers next week, and testing vs local (target: 128GB strix halo - any war stories?)
Not really, the purpose of Excel is pretty clear cut and the scope is small.
Preventing a human-like general purpose textbot from engaging in certain discussions and performing certain tasks seems like a natural thing to do given the massive scope of its capabilities. None of these tools are sold with free license to do whatever with them anyway.
I like Claude Code a lot, I think it sets a dangerous precedent to put guardrails in that return a response from a prompt that was modified by the system in real time in order to subvert the original intent.
Fail cleanly. Anything else makes it too difficult to rely on.
edit: Giving the absolute maximum benefit of the doubt I understand that they see themselves as "stewards" for lack of a better word. But the EA thing is really leaking through, and paternalism isn't a good look.
I think the reasonable middle ground anthropic is trying to achieve is - let the organizations that make the most important and critical software get a head start on cybersecurity before they inevitably allow everyone else the same access.
Other commentors have made good points that these guardrails are counter productive for well intentioned cyber security, because I can't use it to test and harden my own software.
I think it's a big mistake to conflate the cyber (and bio) refusals with the LLM development refusals.
I can sympathize with the argument for the cyber refusals - especially as a temporary measure - especially if Mythos is available to those trying to defend against vulnerabilities.
The LLM development nerfing (and now refusals) is very different though. Anthropic has even said it isn't just for safety reasons:
> Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms.
It's at least partially an anti-competitive measure.
The closest analogy is putting measures in a compiler to stop it being able to build other compilers.
Another analogy is priesthoods with secret religious knowledge that "only they are qualified to know".
The Anthropic refusal description is even more direct.
“The request could assist the development of competing AI models, which is restricted under Anthropic's commercial terms. Benign machine learning work can also trigger this category.”
Claude Opus 4.6 and 4.8 find vulns in source code just fine and 4.6 will pentest without source for you given a proper harness WITHOUT jailbreaking. WITH jailbreaks, you can probably imagine what they are capable of.
Anthropic guardrails seem to be more about protecting their business (distillation), than they are about public safety.
public safety is downstream of distillation. If you can distill claude, then no amount of guardrails on claude will protect you from what someone can do with it.
Distillation is not a thing unless you actually have the model weights. What people misleadingly call distillation is just training on chat logs, which has always been routine practice in the industry. There's a reason why every model today talks like early releases of ChatGPT.
Nonsense. Everyone has values. "Make myself maximum money" is a value. "Amass maximum power over the world's information" is a value. It's clear Amodei certainly follows the latter, and I would soften the former somewhat for him; they did after all decline the Pentagon contract that would have made money but would have meant giving up some control of information.
I asked it to analyse my architecture and find any security issues and it did it perfectly, first identified the issues & then fixed them. Not sure why my prompt managed to get through the guardrails
I asked Fable to plan a security & performance audit of my website. It said it would check SSR & origin attack surface, CMS content injection, Strapi API surface, etc.
Just before asking for approval to run, it said one thing it wanted to "flag before running" was "Rate-limit and auth testing against prod will generate some 4xx noise in Railway logs and could trip the form rate limiter — harmless, but saying it now."
Ok fine, I said go for it, and it says:
"Running it. Quick recon first (prod URLs + the prior-findings baseline), then I'll fan out the audit tracks with adversarial verification."
Immediately after, I got the Fable warning about how it can't continue because of safety concerns, switching to Opus. In the end, Opus did a good job thanks to whatever Fable suggested doing. Things were fixed that Opus missed in a security/performance audit just the week prior. But what surprised me is that it used 55 agents. Burned 80% of my 5-hour window in 15 minutes (5x Max plan). I've never had Opus do that before on these audits.
exactly for cybersecurity the failure was visible.
It was not visible for "Frontier" ML Research. The argument of headstart in it security is no feasible here.
I agree 100%. Doing a worse job IS an error. It should be treated as such. Or at the very least make that behavior opt-in. The default should not be pretending like nothing happened and just quietly doing a worse job.
Imagine your healthcare provider just sometimes decided not to read your test results very carefully and you risked death? Now realize that healthcare providers use Claude now and that scenario wasn't hypothetical.
> Giving the absolute maximum benefit of the doubt I understand that they see themselves as "stewards" for lack of a better word.
Only in the same sense that Standard Oil considered themselves the stewards of petroleum. There's benefit of the doubt and then there's just fanfiction. Do not forget that this most aggressive "guardrail" of theirs was not for any safety reason, but just to stop other labs from catching up to their product. They care less about hindering bioweapons, malware, and hate speech than they do free market competition.
In isolation it's not, but I think it's somewhat lazy to not talk about what they are trying to guard against, when we are supposedly giving the absolute maximum benefit of doubt.
Are we just concluding "their concerns were never real"? Because that probably runs counter the things that they have been observing and concluding.
Basically all critiques of Anthropic's policy moves on these topics boil down to people not believing the fundamental concerns are real, and often then going a step further to conclude that Anthropic doesn't actually believe their concerns either.
If you believe Anthropic believes what they say they do, all of it makes sense.
Even if you believe the concerns have merit, it's hard not to be cynical about people (e.g. Anthropic leadership) paying lip service to those concerns while so obviously leveraging their power and wealth (which depend, by the way, on accelerating the world toward those hypothetical "concerning" scenarios as fast as possible) to position themselves such that they will become unimaginably richer if things go their way, and will also come out on top pretty much no matter what happens.
It's like a prisoner's dilemma where one party is loudly lecturing the other about the obvious benefits of cooperation while also obviously working on defecting. They want to have their cake and eat it too. Maybe they really are the pure-of-heart Chosen Ones destined to lead us around the great filter, but I don't see why I should believe that's the case when their behavior is just as easily explained as maneuvering toward being the winner who takes it all.
> (which depend, by the way, on accelerating the world toward those hypothetical "concerning" scenarios as fast as possible)
Yes, this dynamic is exactly the one that anyone who's concerned about AI is concerned about. I don't know why you state this as if it's evidence against the concerns lol. Someone being concerned about the incentives of a situation doesn't de facto make them immune to those incentives, obviously.
The implication that someone who's concerned about an arms race dynamic could simply opt out of the system that produces that dynamic is simply confused about what arms race dynamics are. The entire point is that it's a trap, and it's a trap even if you know it's a trap, and even if you don't like that it's a trap. There's nothing dishonest or hypocritical about being in the trap: it is literally a trap –– that is what it does and why it is bad!
I'm confused by these comments that imply people believe Dario et al are "pure-of-heart Chosen Ones destined to lead us around the great filter." Who? I've never seen it. And any AI-doomer is probably of the opinion that the entire question of Dario's or anyone else's personal moral character is 99% irrelevant. Because, again, it's a trap. The dynamics at play are so much larger than whether someone irks people for their lecturing tone. I would much rather give my money to Dario, who seems like a generally good person, versus Sama, who seems like a complete snake, but I'm under no illusions that doing so changes the fundamental dynamics that are steering us to AI doom. I doubt anyone does.
And yes, obviously they are angling toward being the winner who takes it all. That is literally the trap. If you believe what they believe, yelling "let's cooperate!" while hurdling towards the finish line and tripping your competitors is the only reasonable thing to do. That is the problem.
But the things they say they believe are insane and totally unmoored from physical, societal, and economic reality. If they actually believe those things they're untrustworthy because they're delusional. If they don't, they're untrustworthy because they're fraudulent. Either way it's not good..
They're not. They're in the eye of the storm and see what's going on the clearest. They were ahead of the curve to be where they're at now, and they're still ahead of the curve for where we're going. All the other heads of labs like Sam Altman and Demis have been saying the same thing since 2015-2016 way before any of this "marketing" would ever have been at play.
There's a simpler explanation that fits the data better: they're lying.
Generally, in the past when tech companies have made outlandish claims that were not backed by evidence, they're later found out to have lied. This is an ancient pattern going back to the dotcom era and before, but for recent examples you need only look back a few years to the web3 era. If they're not lying, they can show it by producing the results they claim. Until then, they're probably just lying.
What are you referring to? The cult belief that they are ushering in a machine god or that they strictly care about making as much money as humanely possibly while ignoring the absolutely destructive impacts these companies have had on society?
IMO they are using the cult messaging to distract the public so they take out all the oxygen in the room regarding people that care about the immediate impacts (climate exacerbation, ease of scamming, degrading job prospects, increasing income inequality).
Whenever real concerns are brought up against these companies they are always ignored while claiming the real concern is the fantasy of a machine god turning into skynet.
"Why don't they just not participate in the arms race?!" - guy who's never heard of arms races
If they believe they're creating "a machine god" and that it's better it's their machine god than someone else's (which, given the other contenders, I tend to agree with), then all the corollaries you mention are mostly irrelevant.
Whether you believe they're creating a machine god is irrelevant. They believe that they are. It would be helpful if you could create an actually good argument for why they cannot or are not creating a machine god, but it turns out there are no good arguments for why it's impossible to do so. And so... they shall try.
Oh okay, they're all just legit crazy and are allowed to poison the environment, murder teenagers, and ruin the material lives of millions for fantasy level delusions.
Then what is it they are trying to guard against, if its not simply protecting their moat ahead of their IPO?
Because from the outside, their behavior looks like a situation of "What if Microsoft/Apple put controls in place to make it impossible to develop an operating system using their OS?"
Let's assume that Anthropic believes they're in an arms race to create a potentially dangerous technology, and they believe they're the best ones to win this race.
Unlike nuclear weapons, advancing in this arms race requires actually deploying the product over and over again. Deploying the product makes your advancements visible to your competitors.
It makes complete sense to try to limit the degree to which that's true.
It's an interesting assumption. The idea behind this with nukes was that we'd like to nuke Germany before they could nuke us. Even after we defeated Germany, we nuked Japan even though they had no possibility of getting their own nukes.
The nuclear 'race' was based on the premise that the winner could use it to destroy all other racers (a faulty assumption, see the USSR among others). I will charitably assume Anthropic does not intend to literally destroy anyone and merely wants to become an AGI monopoly. But if AGI is so powerful, any monopoly would not be stable since the incentives for entry into the market are massive. Why would China stop developing AGI just because Anthropic has it?
Do you believe the current situation is more akin to the race to the first nukes, where no one could know for sure the other competitors were even racing...
or is it more similar to the Cold War, where there were obviously competitors engaged in the race?
And yes, agreed the equilibrium dynamics for AGI are very different (and far harder to predict) than nukes. That sounds like a good reason to be sure we get there first since presumably any potential advantage wouldn't go to the second or third runner-ups
Or if Google Chrome were blocking/degrading access to sites and services that might be useful to someone trying to make a competing web-browser.
P.S.: On reflection, it's even worse than that, because it'd trigger based on anything the user types or reads on any site. Someone mentions a "critical rendering path" and now you can't participate on that thread in the Blender forums.
> Then what is it they are trying to guard against, if its not simply protecting their moat ahead of their IPO?
Let's just assume it was "only" that?
It's unreasonable to assume they are aiming to upset people who are just giving them money in the way they want. It makes no business sense, for any company. So that has to be a byproduct.
Model training is one of the more expensive undertakings in the world right now and distilling models from competitors against the TOS is apparently something that is going on for very little money. Why would they not "just" try to take measures against that?
The hidden safeguard was not against distilling, it was against "frontier" ML research with no indication whatsoever of what "frontier" might mean, but possibly even including research into model safety or alignment. That amounts to deliberately boobytrapping research across an entire legit academic field, which is ridiculously unaligned behavior.
They are trying to guard against other people building ASI before they do because they think they are uniquely safety oriented relative to their competitors. Frankly, based on my knowledge of Anthropic and the people who work there, they are very possibly right. They care a ton about this in a way that is difficult for people outside this bubble to understand.
> guard against other people building ASI before they do because they think they are uniquely safety oriented relative to their competitors
All this longtermism though is harmful. There are real problems of data theft, bias, labor displacement, and environmental costs that are happening right now but every push for regulation and regulatory capture, and all the safety talk, is always focused on some speculative future machine god to distract from the current problems.
I'd have a higher opinion of these labs if the issues they openly talked about and worked toward where the real issues we face currently, not speculative defenses against some future AGI that may never happen in my lifetime. I'm less worried about "our new model might kill all humans in the future" and more worried about how we are going to address anti-competitive behavior, copyright protections, labor rights, and the energy impact.
I cannot overstate how much I think this take is wrong. Please please reconsider, look at the rate of progress being made, and consider that even if you only think ASI 'may' never happen in your lifetime it should still be one of your #1 concerns.
Honestly, that respect for 'copyright protections' has somehow become a leftist shibboleth is bizarre to me and indicative that something has become deeply warped in our discussions around this topic.
ASI? We are nowhere near even human-like AGI. We have no idea if ASI is even physically possible, but going by the usual scaling laws and the capabilities of existing models, it would require raw compute and storage on an extreme scale, at the very minimum rivaling the existing AI datacenter deployments. (When Dario talks about hosting "a country of geniuses in a datacenter" at some point - which is not even ASI yet as generally projected - the operating word there is datacenter. That's the scale of buildouts you should be thinking about.) This is nowhere near a serious concern at present.
> Are we just concluding "their concerns were never real"?
Their concerns are probably real but I don't think they're being totally transparent about their concerns. They don't want to be subject to regulation (until they have captured the regulator) -- same as every behemoth.
You are arguing with a straw man. Most are saying they should be explicit with the failure modes rather than fail silently. They aren't saying there should be no guardrails.
Effective altruism. A lot of the folks working on AI at large tech companies are disproportionately represented in the movement. There's a lot of overlap between EA and the rationalist community as well. The wikipedia page is a good place to start https://en.wikipedia.org/wiki/Effective_altruism
I think it's also worth noting that EA is closely linked to utilitarianism. Most of the pitfalls that people see in EA are the same pitfalls that are classic to utilitarianism, a la "we're going to do this thing we know is locally-bad, because we have a lot of confidence in other effects that are universally-good".
It's important to separate objections to utilitarianism from the obvious fact that it can very be hard to correctly apply the utilitarian calculus. It's partly because of this difficulty that most classical utilitarians thought that people should generally follow commonsense morality and not try to directly apply the utilitarian calculus (which then led to the charge of paternalism and teaching one morality to the masses and another to a supposed elite).
But there are also people who just oppose utilitarianism, like G.E.M. Anscombe. For instance, in https://integrityproject.org/wp-content/uploads/2015/07/mr_t..., she seems to grant that dropping the nuclear bombs on Japan was probably good from a utilitarian perspective (because it saved lives overall) and also to grant that bombing campaigns that necessarily entail massive civilian deaths (including, apparently, area bombing German cities) are morally permissible but still to argue that dropping the nuclear bombs was impermissible because it constituted murder ("intentionally" killing the innocent). But this kind of distinction, which I think is what actual anti-utilitarianism must come to, is hard to even consistently maintain, and I suppose many HN readers would find the effort quixotic.
The first half of your answer presupposes some platonic utilitarian calculus that, if it were applied correctly, would yield moral outcomes. This is very hard to believe. If I look at notable/well-known examples of EA-affiliated people, it is hard to skip by members such as SBF. Did he correctly apply the utilitarian calculus?
It is relatively easy to take the proceeds of a massive fraud, buy a relatively small (as a percentage of the fraud) $ amount of mosquito nets, and save more lives than the lives impacted by your massive theft. Is this a correct application of the utilitarian calculus? What sort of data would we need a priori to do this calculation "correctly"? Do you think he had a careful estimate of the suicide rate of victims of ponzi schemes before perpetuating the fraud, or would any suicide rate have made the decision net [pun intended] moral, as any such victim of fraud would lead to >> 1 net purchased (so you would almost always net save lives).
The above is of course snarky. It is also a best-effort way of analyzing a notable utilitarian's actions. I do not think it would be difficult at all to use this type of argument to argue that SBF's actions net raised utility in the world. If only we all would become fraudsters, then we could truly live in Omelas --- a notable utilitarian paradise.
What FTX decisively disproved was the idea that people's origin stories involving apparently sincere desire to do good in the world and them constantly broadcasting that should be used as a reason to unquestioningly trust them when their notion of greater good happens to align perfectly with them accumulating enormous quantities of wealth and power.
(and Sam, bless him, originally wanted to help animals rather than own the machine god. And probably sincerely believed he was going to do great things for humanity from all the misappropriated funds he was definitely going to win back against a backdrop of EAs and VCs queueing up to glaze him and his commitment to the greater good)
I don't think people are objecting to the EA idea that some charities are more evidence based than others so much as the distinctly EA idea that it would be more effective still to donate to charities like OpenAI
todays EA is not about giving to charities, that was the original mission with 40k hours and ethereum (i think vitalik still believes in this version). then the yudkowsky xrisk/ai safety crowd took over lesswrong and turned it into a cult.
now its utilitarianism taken to the extreme. if you believe a skynet scenario killing everyone on earth is plausible then the "logical" thing to do is allow literally anything in the name of stopping it. that includes mass murder and dictatorship. the only thing that can balance the infinite negative value from an evil machine god is the infinite positive value from a good machine god.
thats the main difference today, one faction around sam and dario believes in creating the good ASI first and sacrificing all the world resources to do it before someone makes the bad one, the more pessimistic like yud want to stop all ai development to reduce the risk that an evil god is made to zero.
It’s rewarmed rhetoric from the late 19th/early 20th century, most effectively pilloried by Joseph Conrad in “Heart of Darkness” in the character of Mr. Kurtz:
> “ ‘He is a prodigy,’ he said at last. ‘He is an emissary of pity and science and progress, and devil knows what else. We want,’ he began to declaim suddenly, ‘for the guidance of the cause entrusted to us by Europe, so to speak, higher intelligence, wide sympathies, a singleness of purpose.’ . . .You are of the new gang - the gang of virtue. ”
The real underlying motivation is that you can more easily get away with shady business practices if you cloak them in the language of great moral works selflessly undertaken for the benefit of mankind. Historical evidence tends to show the opposite outcome, but still, new generations unfamiliar with history will repeat this stuff with starry-eyed enthusiasm.
> “There had been a lot of such rot let loose in print and talk just about that time, and the excellent woman, living right in the rush of all that humbug, got carried off her feet. She talked about ‘weaning those ignorant millions from their horrid ways,’ till, upon my word, she made me quite uncomfortable. I ventured to hint that the Company was run for profit.”
Now the horrid millions are users of LLMs who submit morally dubious prompts and who must be gently steered back into the path of correct thought by suitable backroom manipulation, rather than direct rejection of the request.
The problem is that Anthropic seems to be working up to the workflow one would naively want from AGI/some-god-like-entity.
The workflow would be; User asks for a thing. If it's a good thing, entity does the thing. If it's a naively bad idea, entity explains why you don't want that. If it's an actually evilly intended request, entity wags it's metaphorical finger or could even smite the user.
The problem is that flow isn't desirable if your entity isn't entirely god-like. It can bad even your entity is in ways rather far seeing.
This is the same exact industry that gives you paid usage limits as a unit-less percentage bar then gaslights customers every time the algorithm running that percentage bar changes or they lobotomize an existing model with increased quantization to squeeze a few more dollars out of existing hardware.
"Failing cleanly" might make their moated hype-machine look bad pre-IPO, so they certainly aren't going to do that voluntarily.
This has dampened my opinion on Anthropic quite a bit. It's difficult to take their marketing for AI as an empowering technology seriously when they are quite clear in their new deployments that they do not mean empowering for you, but empowering for them and organizations that are in their (or the US government's, despite Anthropics performative disagreements with the administration) good graces. You are allowed to vibe code some dashboards, a web app or let it drive Excel, but anything more interesting than that is forbidden.
If it was just plain monetary concerns and sabotage of competitors I'd almost be fine with it, but it seems they actively want to monopolize most of human progress in their enlightened hands, lest the mob does something undesirable with these powers.
Don't forget their push for full regulatory capture in the name of "safety" as well so they can pull the ladder up behind them before anyone else has an equally capable model and releases it without the anti-competitive safeguards, while also pushing to completely ban open weight models, or any model trained on a certain level of compute without "rigorous" government testing and validation (which I'm sure, they'll conveniently provide the framework for).
Dampened opinion on Anthropic is an understatement.
i wonder if some lawyer may see a consumer protection class action here. In my view the Stuxnet that Anthropic pulled over its customers isn't much different from say those unauthorized extra accounts by Wells Fargo.
Yeah, I cancelled my Claude subscription yesterday after learning about their attitude of intentionally sabotaging their paying customers.
Especially after trying Fable yesterday for some benign projects and being unimpressive relative to opus.
Rolling it back is the right move, but I’m still not convinced that using them is in my best interest anymore, I’m investigating open source cloud providers now.
Models are spiky. In some narrow domains (cybersecurity, for instance) it will be a generation ahead. On the other hand a lot of people don't see a measurable difference between Opus ~4.5 and 4.6/7/8, because Anthropic taught it how to do some hard stuff better, but they didn't give it better taste or make it produce cleaner solutions to simpler problems.
Fable is very much an incremental development over Opus, and even more incremental when properly compared to its existing counterparts GPT-Pro and Gemini Deep Research.
I have a design for a really complex software I want to build and there were gaps I knew of in the design. Opus couldn’t identify them but Fable did. I’m just talking about it reviewing the design, not coding. But yeah, it’s insanely expensive. It does spin off sub agents so I suspect it might be cheaper if you had it create a bunch of plan files and then pointed deepseek at this plan files or something like that
Can you write a more specific question? I think the meaning of the comment is clear enough, but maybe you’re asking for more specifics? Ironically I can not understand what you are asking for with such a generic comment.
Google has been doing the same thing for longer than Anthropic[0]. To protect their models from distillation attacks, they silently will downgrade the model's performance to essentially poison your training data without your knowledge.
A bit different than Anthropic refusing to assist with any AI development at all, but it's in the same vein and seems not widely known.
edit: reading the whole series of Google's AI Threat Tracker articles also provides some insight into threats Anthropic and others are dealing with
"Only I can save us". It's a classic tragedy and cautionary tale.
The idea Anthropic was going to speed run AI so they could control the usage and make it "safe" for humanity was never altruistic; it was a HUGE FUCKING RED FLAG.
They do, but only for specific definitions of "work". Like, benevolent dictators in Cuba 100% raised the literacy rate by an insane amount in just a few years (something like 20% => 80%").
If you define work as "literacy", they no doubt succeeded. But if you consider the people (and children) they tortured, raped, and murdered, suddenly literacy doesn't seem so important.
You're right, they should just not even try and turn off all safeguards on frontier AI. What could possibly go wrong? It's not like a bunch of companies and nonprofits have said the model finds zero days at the press of a button!
Correct, they should. If there are zero days out there, then they should be able to be found by everybody, instead of only being found by the select elite that this model is available to. Though, I very much question the truth of said ability.
And? Now all the zero days, if thats true, get discovered and patched instead of being exclusively hoarded by the select few governments and Israeli spyware companies.
Corporation cannot help but act this way. They are too big. The pressures for profit are all that matters. That is the priority. It doesn't matter what colorful words they put on the paper to make you feel better. Look at the "green" movement 20 years ago. All talk and no action.
Stop supporting organizations that don't put humans first. Don't believe a word that anyone says. Lip service is free
Yeah I'd say this has been a big concern ever since it turned out immensely expensive training methods could create effective frontier models. So far at least, open source models have kept up better than I expected, but they definitely lag the top ones and there's no guarantee the gap doesn't widen further.
Imagine the software world if Linux never existed as an effective OS and Microsoft + Apple had completely controlled computer platforms for the past decades. I think it's almost certain that both companies would be even more profitable, and the tech industry would be vastly less free and more dysfunctional .
Yes, that is basically the plan. It's based on the belief that unfettered AI would let anyone be a supervillain and destroy the world. There are enough would-be supervillains out there, but they rarely get far because they can't get teams of smart people to build doomsday machines for them. So the AI has to not let anyone do evil with it.
Unfortunately, that won't feel very much like freedom.
It sounds like you might not agree with that belief.
While I don't agree with their actions here, I do think there's sufficient reason to hold that belief.
On some fronts (e.g. security, on which you've experienced more than me), I think there are surmountable challenges. But on other fronts (e.g. bio), a single errant actor could reasonably kill millions or billions of people with sufficiently powerful AI. We don't have good defenses here, and those actors do exist.
I still don't agree with these actions, but I do think I agree with their assumptions.
The model release cards for Opus have repeatedly and consistently stressed that the model doesn't have the fiddly know-how that's required to provide meaningful assistance in possibly dangerous subfields of biology. Mythos (Fable without the overly strict guardrails) has shown improvements in things like drug design, but even then the situation isn't really that different. This risk is ridiculously overblown, and the way to manage it sensibly is to introduce meaningful oversight for actors that seek to order the actual specialized materials involved (especially any synthetically generated genes/proteins/whatever).
No, Anthropic's model cards have claimed that the models don't show considerably more uplift than previous ASL-3 models, which already showed material uplift.
I participated in the internal bioweapons uplift test for Sonnet 3.7, and even then, one non-expert got huge uplift from the model [1]. I'd consider evals a lower bound of capabilities that can be elicited from a model.
The team behind Biomni, a biomedical agent that's widely used by researchers, has continued to find consistent gains between models [2]. I trust them, because I visited them to build their HPC tool [3], which the model is quite capable of using – moreso than most grad students. The Biomni team cares a lot about about real usability for real researchers, so they have a great pulse on capabilties.
SecureBio also has some public evals [4], which have continued to show increasing uplift.
And while synthesis monitoring is a part of the solution, I think you might underestimate how much goes under the radar. See the Reedley lab incident for an example [5].
Is Anthropic still effectively throttling beneficial biomedical research? Yes! And so is OpenAI. But the underlying capability is still actually dual use.
> No, Anthropic's model cards have claimed that the models don't show considerably more uplift than previous ASL-3 models, which already showed material uplift.
Doesn't this simply amount to disagreeing about what counts as "meaningful" from a bio-safety POV? Also, even the ASL-3 deployment safeguards for Opus 4 and higher were always adopted as a mere matter of caution; it's not clear that even Anthropic believed at any point that this reflected any genuine "threshold crossing" event. So it's just not obvious how much weight we're supposed to place on that particular stance.
Even with them making those guardrails visible, it's a bit ridiculous in my eyes. I have been experimenting with smaller models, will Claude assume I'm some Chinese or Russian agent trying to distill their secrets and bar me from learning? Because that's insane. What if I discover a more efficient way to build models with Claude? Well, we'll never know now. What if someone else entirely could discover a breakthrough in how we design and build LLMs.
The whole shtick is to get you addicted whilst reducing your ability to go without, acquire power over you, jack up the prices whilst manipulating the quality of the tokens/output available to you.
Cant believe how stupid people are. You couldnt see this coming? Shame on you.
I already made up my mind, I'm not using that model if its sending proprietary code over to Anthropic, they can kiss my rear. If every frontier model winds up doing this, I will stop using them. There's plenty of employers / jobs where this is not okay behavior from an LLM.
First time? They've always been misanthropic, ironically. They seem to hate their users and think that their AI is so dangerous it'll destroy the world and not to be trusted, I mean Anthropic was literally started because people at OpenAI thought the latter was too forgiving on "safety."
> If it was just plain monetary concerns and sabotage of competitors I'd almost be fine with it, but it seems they actively want to monopolize most of human progress in their enlightened hands
But that is “plain monetary concerns and sabotage of competitors”, they are just more ambitious than most people doing sabotage of competitors in the fields they hope to dominate by that tactic.
Americans continuing to act shocked they're being cucked by corporations dampens trust and makes it difficult to buy into memes Americans are "exceptional" and "gritty", "educated", "world leaders".
Seriously the world is watching the American public get porked by grandpa and reconsidering putting their trust in not just US government as that's clearly failed, but the people themselves.
Occasional weekend warrior protest while our government destabilizes their lives? That's all the effort ya got for global allies and partners, eh?
>"but it seems they actively want to monopolize most of human progress in their enlightened hands, lest the mob does something undesirable with these powers"
That's why Dario's advocating for making open weight models illegal and also saying we should stop the clock on model development amongst the large labs.
I don't think they can convince me they have actually reversed course on this. Its invisible so we wouldn't know if they kept on doing it secretly. It required building out technical capability which is unlikely to remain forever unused while conveniently available to them.
They relied on trust that they were providing the service they were being paid for. That trust was blown, and an "oops, lets undo that" does not regain trust. It would be prudent to assume the invisible guardraild are possibly in play for all future Clause use, Fable or otherwise.
I suppose it's an improvement, but it doesn't make the model any more useful. Anthropic are now being quite explicit that they'll choose what you can and can't use their models for, and most importantly that's not limited to any safety concerns - it includes not allowing you to work on AI (and anything else Anthropic may choose to work on).
What's interesting is they say they'll change this to an explicit refusal in a few days, which seems too fast for them to retrain Fable/Mythos itself, so implies that this was always a filter in front of the model, and judging by how crude their "safety" filter is, this "might compete with us" filter is not going to be any better.
I also wonder who's paying for the tokens consumed by the filter (presumably also an LLM) - is that now factored into the input tokens cost? Hopefully(?) it is an LLM not just a regex like Claude Code's "sentiment" (swear) detector.
someone posted this on /r/MachineLearning and I had the same experience and conclusion:
I was having problems with Claude doing the same thing, even before Fable.
The problems I had only happened in relation to AI research. It's not even only when training models, anything to do with analysis of local models or setting up test platforms for local models, and Claude would keep doing wrong things, would sabotage testing, would falsify reports, and would consistently suggest simply accepting trash results without looking into it and moving on to something else.
Almost every response included a prompt to move on.
So, I don't believe them when they say they won't silently sabotage, they already were doing it before they admitted it, and now they have admitted that they have the means, motivation, and intent.
The problem with trust is that it is easy to lose and hard to get back.
You can't blame the people commenting "they SAY they won't silently sabotage your session but how can we know?" because they're right, we can't ever know. And Anthropic has firmly planted the seeds of doubt.
I'm surprised they didn't do this the first time around. Like, a user says they forgot their password and you tell them they don't actually have an account, that's an information disclosure vulnerability. Not automatically falling back to Opus just lets the "attacker" know they are bumping against the guardrails and they need to try a different strategy.
It's Anthropic's product and they can do what they want, but my concern is what happens if Fable's product team decides that they can route 25% of traffic to Opus, bill it as Fable, and max their KPIs. That just doesn't sit right.
It failed visible for it security and bio/chemistry stuff.
It sabotaged invisible for "frontier" ML research. Its not a switch to a cheaper model. They tried to actively harm progress.
The reputational damage has been done. This is the sort of thing that cannot be unsaid -- the presumption is they will just do it in secret now. Anthropic's "we're the good guys" PR campaign is dead.
Repro (de-identified): sample_dataset_group1.tsv
- Geometry: Heatmap
- X axis: frac_set set + condition (two columns → the "Add column" cross join)
- Y axis: condition
- Color: mean frac_set value, Sequential
When the X axis is a cross join of two columns (the second added via "Add column"), the x-axis tick labels (frac_set_2, frac_set_3, frac_set_4, frac_set_5) render in a broken
state, rotated and offset, visually caught mid-transition, as if a CSS transition started and never settled to its resting position.
● Fable 5's safety measures flagged this message for cybersecurity or biology topics. They may flag safe, normal content as well. These measures let us bring you Mythos-level capability in
other areas sooner, and we're working to refine them. Switched to Opus 4.8. Send feedback with /feedback or learn more
Here's one that was flagged for me: a question about a niche Reinforcement Learning paper from 2012
I've been reading the option-option model paper by David Silver. It appears that they achieved quite an effective result. Why hasn't there been more work on it since?
In my opinion, LLMs should be subject to regulation via the Office of Weights and Measures[1].
In the same way I don't want to buy meat that weighs less than what the label says, I also do not want to pay for a frontier model that can be secretly nerfed to an out-of-date model for any reason. In some cases, it's incredibly important that the code that I am producing is as secure as it can be.
I should be safe in my expectation that I am receiving the product that I have purchased, as advertised, regardless of the reason. It is pretty disappointing that they have fully ceded any high ground they had claim to with this clandestine behavior. Not that I expected much from any of these companies. They're led by the new robber barons.
I develop some deep learning models. They don't compete with Anthropic, nor are they language models. They mostly enable mathematical optimization systems to approximate actual the actual physics of radio propagation models with a fraction of the latency/compute of a high resolution simulator. Technically that should be safe for me to use with Claude Code, but how the fuck am I supposed to know? You're degrading/malware-ing your responses silently!
I won't ever trust Claude Code again. It's too late. I'd rather trust a less-than-frontier chinese model that takes a little longer to get to correct than a frontier model that deliberately deceives me at its own whim.
This is why I think in the long run, the Chinese models will probably end up winning where it matters. You can get a cluster of relatively affordable 30 or 4090s, load up DeepSeek v4 and let it rip. Your only ongoing cost is power. We're already seeing companies recoil at the sight of their API bills from the frontier labs, for the price of 1 years worth of tokens you can host your own decent model that's 75% of the way there.
I wish it were ok for companies to bluntly say: “we made these decisions for competitive reasons, but the public backlash outweighed that so we are reversing course.”
I think it’s normal and morally fine for companies to want to protect their leadership position. I find the process of creating narratives that justify these decisions as something chosen for the good of others is a little tedious.
They should apologize for their visible gaurdrails, I don't think I've had a conversation that hasn't downgraded to Opus for completely inexplicable reasons.
Seriously though, Fable was not that great facing a greenfield subject. It is excellent at oneshotting some math problems, but if you want it to do some cutting edge tech stuff, say like piecing together a new Crossplane XRD, by reading existing Helm chart and with application source code available. I still have to get a few pass for Fable to get it done right, and at this point I may consider making a skill for it. I even gave it the source code of the Crossplane itself and tell it to be careful about CRDs and data flow, but it is still pretty silly. Adaptiveness for Fable is still not great, and I think it is a well known problem for Anthropic, albeit all LLMs do suffer a lot from subjects they don't know and will hallucinate stuff very frequently.
I know this isn't going to be a popular take, but here goes anyway...
The complaints that Anthropic are routing your requests to a different model reminds me of an old Louis CK bit about airplane wifi. Clearly Anthropic was too aggressive with whatever guardrails they put in, but the response seems overly entitled to a model people didn't even know existed not that long ago.
The idea of them purposefully wasting my time by having the model act dumber and me having to argue with it without knowing if it’s the prompt or the model was just such an idiotic product decision I can’t believe they shipped that without getting any feedback from users first.
> “Visible safeguards can be probed, so they have to be robust, which takes time to get right,” Anthropic wrote.
Even on Fable, I'm finding that safeguards can quite easily be surmounted just by incrementally escalating the requests. It's harder than ever to one-shot jailbreaks, but incrementalism still feels like a glaring enough issue to make guardrails just a fig leaf of plausible deniability to the media that they care about "safety."
So because of threats to cancel their claude subscriptions and outrage from the community about the invisible guardrails, only then they decided to walk back their stance?
Seems like they would've kept the invisible guardrails if it didn't hurt their bottom line.
> So because of threats to cancel their claude subscriptions and outrage from the community about the invisible guardrails, only then they decided to walk back their stance?
The possibility that the news about "fixing" the "overly aggressive" nerfing of the tool will drown out news about how mismatched the hype and the performance of Mythos and Fable is surely just a bonus.
I don't like this shift in the Overton window, or at least their perspection of the Overton window. I really do like their open work on mech interp tho. least bad AI lab imo.
also if they do this or not is unprovable and other labs will probably silently implement this too. it'll be 100% normal by this time next year
How much of the apology was written by Claude? How much of the release note process was written by Claude? Will they have better prompts going forward to make sure Claude doesn't write upsetting things into the release notes for devs like silent nerfing? Spooky times.
The restrictions are there so that security researchers cannot disprove the Mythos claims:
"You see, Mythos can automatically break out of a VM running on SELinux, but unfortunately this is too dangerous and we had to implement guardrails for the Fable peasants."
They make great models, but the sanctimony and paternalism is getting old real fast and I will gladly ditch them in the future when the model playing field has (hopefully) mostly equalized.
Can anyone help me understand why this particular issue is any different than Anthropic training its models with its brand of moral judgement since day one? I've always been turned off by their particular stances on things they bake into their models that steer users in directions.
Maybe this is just a different set of people now realizing that Anthropic does this and has always done this?
Do not forget that this company is launching this thing at the moment it's trying to IPO. It's not rocket science that their very public steering/denial claim is really just them hinting to interested investors that their moat is absolute.
This would have messed things up for any individual using Claude for anything adjacent to data science. To not know whether or not you're being intentionally sabotaged when you ask it to plot some data.
The question essentially assumes the premise that nobody complained about Anthropic's previous actions. In case you can't tell, I strongly reject this premise. People have been criticizing "safety" rhetoric from Anthropic and other LLM providers practically since the start. Remember Goody-2, the parody of excessively safety-tuned LLMs that refuses to do anything ever? That was released in February 2024, two years ago! (And it's still running, amazing. https://www.goody2.ai/chat )
With the guard rails explicit or implicit do they refund back the tokens after you've hit the guard rails? I guess they don't. They could just throttle you just to save money then. You may be paying Fable prices but getting Haiku results with some excuse that well this coding issue sounds like a security bug.
I don't know, I'd rather have something less powerful but more predictable.
Part of the premise of the article is blatantly wrong. Distillation prevention was always visible. The only invisible safeguard was against frontier model development like development of training pipelines. This doesn't change the general idea that invisible degradation is bad and has been reverted, but the article changes the framing of the original issue from "preventing accelerating AI in the future" to "preventing cheaper AI right now".
Anthropic apologizes for nothing. We all know where the EA cult on things of this matter and any statements otherwise is just PR.
The beliefs of these people, and how they manifest, is deeply terrifying to me. They believe that any means are acceptable to achieve what they believe is a better end.
No, it was not clear. No one expects that a tool they pay for and use professionally to purposefully sabotage their work. You’re excusing their unhinged behavior.
ITT a surprising lack of perspective on the fact that despite the breathless pace of the singularity, people are still necessarily figuring things out as we go and we are well off the map.
Here there be monsters, and we don't have any real way of evaluating risk; and the leverage provided by tools already available affords systemic and even existential risk in a way no one—least of all an industry committed to shareholder value—has had to navigate, let alone with a million backseat drivers each with their own substack and brand to build.
All of these negative comments are addressed by the blog post. What do you want them to say, that isn't better answered by the details in their existing communications. No negative comment here was really novel.
Why would anyone defend Anthropic after this? Imagine falling for the DoW supply chain risk designation, and now this. This company is trying to ban powerful open models and restrict access to frontier models to slow everyone else down.
They just showed that they CAN do this right in front of you. Local open weight models are a necessity.
Invisible guardrails? Or purposeful sabotage if you use it for building AI capabilities?
But also, it isn’t the only huge mistake Anthropic has made in the last 48 hours. Having a sneaky data retention policy, while also giving companies no way to block Fable, is a massive problem. And it is ridiculous that Anthropic has so little respect for its customers. OpenAI should take advantage of this.
Such a weird openly immoral way to defend your moat, too.
Why not just tell people, "To defend our ability to be competitive in our industry, we ask that you do not use Claude or any of our models to independently perform research on large language models or any of its related architectures or technologies. In order to prevent this violation of the Terms of Service, we have trained Claude Fable to deny any requests or prompts which involve frontier AI research."
They are clear about the reasons for guardrails: prevent their models from doing harm in dual-use contexts including CBRN or by accelerating research in authoritarian-backed AI labs.
What is the critique against that? It seems pretty reasonable to me. You want AI-accelerated biological or radiological experiments running in your neighbors backyard? You want PRC-backed labs to continue to steal Anthropic's models via distillation?
Mitigating the harms of dual-use tech is notoriously difficult and fraught with trade offs. What I would want to see is cautious rollout and quick response, which is EXACTLY what they're doing.
Instead, this thread is full of bad-faith arguments about Anthropic being dishonest, making a "useless" model, or "the power is going to their heads." You can't read Anthropic's System Cards and come away with any of these impressions. Quite the opposite, in fact. They are honest to a fault, acknowledging problems they discovered even when it hurts them.
If your harmless request was downgraded to Opus, you're billed for Opus. They were 100% clear about that. I'd much rather have a Mythos-class model that falls back to Opus 10% of the time than be capped to Opus 100% of the time. If that doesn't work for you, then make a suggestion for something better!
If you are a white-hat security engineer hitting guardrails, I don't think you have standing to complain. I really don't. Their Glasswing program actually got banks and the industrial sector to take action to fix security vulnerabilities. Do you realize how special that is? A huge portion of the economy runs on vulnerable code and has for decades, despite security experts testifying to Congress, begging business leaders, pleading for intervention-- with no results. But suddenly they're all enrolled in a program that will find *and fix* vulnerabilities! White-hat security people should be rejoicing. Instead some of them are throwing rocks. Unbelievable. Shameful.
Meanwhile, society is screaming at the AI labs to be more conscientious about potential harms of AI. Legislatures are passing laws limiting data center construction. There are protests. And you, the HN community, the vanguard of our profession, have the temerity to demand "NO GUARDRAILS!" "HOW DARE YOU TRY TO PROTECT DEMOCRACY!" "MY SOFTWARE PROJECT IS MORE IMPORTANT THAN KEEPING NUKES AWAY FROM THE BAD GUYS!"
The original reporting of this from Anthropic didn't mention "authoritarian-backed AI labs" at all, only frontier ML research while leaving it entirely unspecified and unverifiable what was meant by "frontier". It's obviously reasonable that people would complain about that. And the notion that distillation-at-a-distance could be used to comprehensively "steal" a model, especially a frontier reasoning model that's likely relying on massive amounts of test-time compute, is completely unproven and quite ludicrous if you know anything at all about ML.
"Anthropic accused Chinese firms of 'industrial-scale distillation attacks' on its AI models."
"Distillation involves training less capable models on more advanced ones’ output, and can be used illicitly to acquire powerful capabilities cheaply. The AI startup accused China’s DeepSeek, MiniMax, and Moonshot of generating 'over 16 million exchanges with Claude through approximately 24,000 fraudulent accounts,'"
After reading their posts and watching interviews with Dario it's abundantly clear that they view Chinese-lab distillation of US frontier models as a threat to US national security. You can argue with them about whether that is true, but not whether distillation is real.
It's definitely real, in the sense that it's a real violation of ToS. It could perhaps be used to guide a few narrow capabilities in very specific domains, given a model that's already most of the way there. But no, it's nowhere near the same as "stealing" a model outright, nor does it replace basic innovation in AI. And it's indistinguishable from practices that have long been common in the industry as a matter of fact, regardless of any ToS requirements.
Oh, I agree distillation isn't stealing "outright" as in it's not theft of 100% of the model. But there's a reason they're doing it. I didn't say anything about Chinese labs innovating -- obviously they are.
What accounts for the difference between your attitude that distillation is no big deal, "common practice," yet Anthropic sees as it as a huge threat?
Honestly, while I love having access to this grade of AI, yeah, it's been too dangerous for a few releases now.
And Fable is cracked. Way better than anything, and the biggest improvements are on the scariest subjects.
So given the state of the world at the moment, and the number of software patches we're barely keeping up with... I'm thankful that they're not making it worse.
If by "got caught" you mean "published it in their system card paper".
(Admittedly it was buried pretty deep in that 300+ page PDF, but they did at least disclose it. If they hadn't I imagine it would have taken quite some time for the research community to figure out what was going on.)
It was in the announcement, too. I’m 99% sure they edited it after they changed their mind, because I knew about it from reading that, and never opened the model card.
On the earliest web archive snapshot I can find [0], I do not see any mention of the safeguard/sabotage under discussion [1].
And to be clear, this isn't the safeguard where the model is explicitly downgraded to Opus, but rather where the Fable/Mythos model's "effectiveness" is transparently "limited" via "prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT)".
Yes, I actually do mean that. I skimmed the system card. Them stating it openly, doing it, and being called out on it just doesn't have any meaningful difference.
They could have simply told people "we do not permit using Claude models to perform frontier AI research," which is defensible from a policy point of view. This particular usage of their products requires no deception, nor hiding information prevent abuse.
However, instead, they chose for some reason to publicly display a morally poor way to execute a reasonable business decision (preventing abuse, defending your business interests, etc.)
They didn’t get caught, they explicitly said they would do that in the announcement. I think it was both bad and a weird idea, but it certainly wasn’t sneaky.
To me it seems like it's more likely to refuse the harder the problem is. I wonder if it's cover for a model that's not as good as advertised. Even when I ask questions in biology it is switching me.
Or if Excel just said, Sorry, you can't use that formula with this formula? Or with these types of numbers, or this shape of data, etc?