So many comments here missing the big picture, and just gleefully pointing out that Anthropic got what they deserved, or that this is the natural culmination of some kind of marketing stunt.
The real story here is that this may be the beginning of governments restricting the availability of strong LLMs to the public, to you. Fable was the strongest model on the market, and the US government has told you you can't use it (technically, only if you're not a US citizen, but in practice, even if you are). If you think the solution here is going to be open source Chinese models and / or running on your own hardware, think again. Do you think China is going to allow the strongest LLMs from companies within its borders to be open source a year from now when they have Mythos capabilities, if the US government is keeping the strongest American models back? Unlikely. These are heading in the direction of being powerful cybersecurity weapons and it will be in the interest of nation states to restrict and control them. In 2 years time, I would be surprised if the strongest LLMs are available for general use at all.
Will we be the poorer for that, or will we be safer? I think poorer, because I hate being told what technology I can and can't use, but I'm not certain. Maybe you think the government should restrict strong LLMs. Maybe you don't. But either way, this is big news and a rubicon has been crossed and a precedent set. That's true even if the motivation for this is just the government settling scores with Anthropic.
Hi Mike, I’m @bfontaine on GitHub (I helped maintain Homebrew in ~2014-2016). I’m always impressed at your longevity as a maintainer; it’s been like what, 16+ years you’ve been maintaining Homebrew and you’re still here, still shipping new features! Thank you for everything!
A very prolific coworker who fully embraced claude has inflicted the team with a flood of AI-generated PRs. About six months later, it is his frequent bemoaning at the standup that their PR don't get reviewed, languishing in inattention. I don't think anyone - including myself - _intentionally_ avoid his PRs. It's just that he doesn't make it easy for the team to look at.
This single headline perfectly captures what I have been thinking. It's not that I reject AI content, but it takes _effort_ to review and weed out any mistakes. When your thoughtful reviews that take an hour(because the PR is typically large, and you want to be _right_ when you're pointing out a hallucination) gets an AI-generated response with AI-generated amendments, It doesn't feel _nice_. I feel dismissed and it has continuously trained me to subconsciously avoid his PRs. After all, the team is fully onboarded with AI, so it's not like there is a lack of PRs to review.
It looks like the sentiment isn't just isolated for me.
The ending is a really powerful point. Most people apparently agree on two things:
1. AI is a great boon for all tasks and specialties we don’t have the skills to do ourselves. Understandable, since (A) we’re ill equipped to see the flaws in its output because it isn’t our area of expertise, and (B) it often can unlock great gains because if we trust it, we then don’t have to pay and wait for humans to do that thing.
2. AI is a terrible replacement for me - my skills are at such a high level that it’s almost theoretical that it’ll ever be good enough to replace me for 90% of what I get paid to do. It’s a tool at best.
This is why I use AI for all my medical questions and doctors use AI to write software, and we both smirk at the quality the other person is getting from it.
It seems more likely that the logical conclusion is the executive branch is mad at Anthropic, and lashing out at them with any convenient tool that they have.
I suspect if OpenAI or Grok was operating at the same level they wouldn’t find themselves on the sharp end of the government stick
Obviously their statements are insincere, because they are building the bloody things. If they were sincere that AI is like nuclear weapons, then they would be devoting all their cash and energy into lobbying the government to nationalize them and treat AI like nuclear weapons. They would not be attempting to IPO and they for sure would not sell their weapon-like thing to the general public.
I've been in those companies where "struggling departments" ended up getting all the praises and raise in budgets the following quarter because of the heroic saves they did, and raising awareness on how important they are... For stuff they totally caused on themselves.
Meanwhile, my perfectly purring department was struggling to keep the lights on.
It's a serious problem in this industry due to the disconnect between non-technical management (who understands how to double click) and engineering (who holds the company standing).
<insert IBM story about IT department cost cuts>
I'm not sure how we solve this, other than having management come from engineering.
Anthropic pretending Mythos 5 is so capable it's going to destroy everything, but will release it anyway with "safeguards" (when does this ever work?).
US Gov't using this fake hype as an excuse to handicap Anthropic simply because they have a vendetta.
"Don't expend more effort than they are" has actually long been a good principle to have internalized. Someone done only cursory research before asking a question on a mailing list? Give a cursory answer. Someone obviously spent hours trying to figure things out on their own? Give them a good chunk of your time. Someone on HN responding to you with single-sentence responses? Either don't respond, or respond in kind. Someone obviously engaging with your ideas and taking time to explain their position? Take time to engage with their ideas too.
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.
> But on the other hand... this is a robust reminder that coding agents can do anything you can do by typing commands into a terminal—and frontier models know every trick in the book and evidently a few that nobody has ever written down before.
> Running coding agents outside of a sandbox has always been a bad idea
I'm continually bemused and astonished by the number of people who clearly acknowledge that it's reckless to give agents full access to your machine, and keep doing it anyway.
It's like posting a video of yourself in the passenger seat of a car, with your feet up on the dashboard, and saying: "Remember, if you're doing this and you get in a crash, the airbags are likely to break your legs or worse! Boy, I sure am glad that didn't happen to me!"
But claiming that google lost it's "moral compass" just now is a claim only rich people can make because they retire, not quit.
Google is literally the largest, most organized, tracking and profiling company in the world. Which they tend to grow even larger with the rise of LLMs.
Turning a blind eye of that for the opportunity or whatever, and than claim that _just now_ they lost their moral compass, is being a hypocrite.
Listen - that's the sound of millions of companies and users doubling down on Chinese models.
It might be a national security problem for other nations to have access to these models. But it's equally now a national security problem for any other nation to depend on them. Or US tech in general.
This to me reads like a poignant commentary on the catastrophic loss of human agency, with the actual commit being highly revealing [0].
Author wants to hide a horizontal scrollbar. Any junior frontend dev worth their salt will be asking right away "where do I stick `overflow-x: hidden;`?" A complete solution will then require hitting "Inspect element" in the browser to find the CSS class and running (rip)grep to find where it is in code, to then add a single line to.
An actual proactive programmer might start asking more pointed questions like what content does an empty textbox have that it overflows? And why do I need to insert this workaround that treats the symptom and not the root cause in two different places? Isn't it better to style `textarea` once? Etc, etc.
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.
You're correct about CRISPR Cas9. The off-target affects are difficult to manage.
The paper describes Cas12a2. This is a different mechanism with discovery origins in - of all things - agriculture. It does not attempt in any way to reprogram cells. It uses a guide protein to locate a specific mutation with exacting precision and, when it activates, unleashes total destruction of the cell.
The implications of Cas12a2 on undruggable conditions that exhibit known driver mutation profiles is profound.
Source: I have personally funded novel research based on Cas12a2 for an undruggable condition I have. I have personally seen my condition "cured" in vitro using this technology and it left all of my WT cells unharmed. Some of the researchers I've funded are co-authors in the paper linked. I am a layperson in this field (I'm a SWE, not in biotech), but I am happy to answer questions.
So isn’t the only logical conclusion that we have reached the max of model capabilities that the US allows to be made available to the public? Why invest in smarter models with this precedent?
And potentially more importantly: if a model like Mythos, which at best is an incremental improvement over Opus, is getting this treatment, how are all the AI investments that are based on the expectation of ASI / AGI / significantly better models going to be recouped?
We recently had some behavior issues with our kids - they didn't want to do activities outside the house, they hated reading, they hated anything that required even the slightest discomfort or effort.
We decided to cut device usage way down - they get 1 hour in the morning to play whatever games they want on computer, tablet, console. Then they get 1 hour before bed to watch TV. The rest of the day, no devices. We are homeschooled so this is a LOT of free time.
After a few weeks, they're now: blasting through books daily (to the point where they forgot their own TV time, which used to be sacred), playing board games with us more frequently, asking to do things outside like learning to ride bikes (which they've previously shied away from), writing their own comic books and board games on paper, and overall just being creative through the day and entertaining themselves.
It's such a huge difference. It is the devices. It's 100% the devices.
When you spend a lot of time telling people how dangerous your products are, people who have the power to keep dangerous products off the market might listen.
Especially if those people aren't presently very bright, and are already mad at you for not helping them achieve their unrelated authoritarian goals.
I do not think this is somehow a 3D chess move by Anthropic. They are not masterminds, even if they'd really like to be. People who actually interact with their products know that Fable and Mythos are incremental improvements, not doomsday devices. I think this is a punitive move by an administration that loves being punitive, which they have unknowingly bolstered with their own dumb rhetoric.
All of my stock has finally vested, and I am independently wealthy enough to signal that I'm quitting purely based on my morals, since there's no way anyone could have known Google wasn't some ethical bastion of hope in 2017.
We have been aggressively and enthusiastically automating away software engineering for the entire history of the computer industry. Every time we do so, we are able to build bigger, better things more quickly. When this happens, our work becomes more valuable and expectations rise to match. The world’s appetite for software has been insatiable so far. AI hasn’t replaced software engineers because every time we become more productive, the goalposts move.
There’s two things that could put an end to this. Firstly, we might finally become productive enough to exhaust the world’s appetite for software. I don’t see any evidence of this happening, but if somebody wants to make this argument, they should be clear about why this time is different to the entire history of the computer industry so far.
Secondly, if AI becomes superhuman at software engineering when acting autonomously. Specifically, AI+human developer no longer outperforms AI alone. So far, all the available evidence seems to show AI as a force multiplier for developers and that for good results, at best you can have AI doing 90% of the work as long as an expert developer is driving things.
There isn’t strong evidence that either of these situations is going to happen in the near future, so I think software engineers are safe for now. But if you have a narrow skill set and you are focused in particular areas (e.g. front-end web development), then I would worry more, because even if AI cannot replace software engineers in general, it’s quite likely to be able to completely consume specific domains with generalists holding the reins.
I think we should see this as simply silly behavior by a government.
Export control is not an effective tool for controlling a consumer facing technology developers everywhere want to use (see:VPNs) so there was no good faith policy justification for imposing an export control.
This is an administration that seems to be keeping track of who its friends are and aren't, and likes to be the center of every story. They also seem to like extracting concessions and reciprocal favors. We saw some of this behavior in the last administration too. US voters deserve better.
Curiosity is great, but agents do not learn, and telling an agent "scan the darkweb" is a way to avoid learning about the details, rather than to dig into things more deeply.
If instead they had just used a chat interface to ask "Where should I start", they'd more likely have got a link to the DN42 docs themselves, read them, and not hallucinated things like "color".
They might have asked "how much will this cost?" if they had to spin up the ec2 instances themselves, on advice from the agent.
The way you learn something is by doing it the manual way first.
You learn memory management by writing your own allocator, and then after that you go back to using malloc like normal, but with knowledge of how it works. You don't learn memory management by telling an agent to write an allocator.
Using an agent to give you links and point the way aids in learning, using it as an autonomous tool to do "gruntwork" you don't yet know how to do yourself will get in the way of learning.
Curiosity is beautiful, using agents to bother humans and avoid learning is somewhat less beautiful.
This weird trend reached an apex in a Feb 2026 OpenAI blog post [1], recently on the front page [2], which describes the process for building... something... written 100% by agents.
There is no description of what the thing is, no indication of what value it provides its users. The closest it gets is "the product has been used by hundreds of users internally, including daily internal power users".
But the fact that the thing has a million lines of code is repeated twice in the first few hundred words.
Malware authors are pretty excited about guard-rails. you can add prompts to your malware to get LLM scanners to hit guard-rails and stop their runs. New shai-hulud npm worm campaign for example includes prompts to request biological weapon schematics/creation etc. to ensure LLM scanners probing NPM packages refuse to scan it.
These AI places have 0 clue about how threat actors actually work. None of their mitigations or guard-rails is effective, and now they are even turned against them.
Additionally, if they don't all implement the same level of effective guard-rails, there will always be some model you can abuse to do the work anyway, and hence there is 0 effect on threat actors, they will just run some local model that does 5% less quality, which does not matter to them 1 bit.
The title reminds me of an interesting ancient Chinese anecdote. And it is also a bit ironic that Toyota has gotten itself into some scandals recently (https://www.bbc.com/news/articles/c1wwj1p2wdyo).
King Wen of Wei asked Bian Que:
“Of you three brothers, all physicians, who is the finest in the healing art?”
Bian Que replied:
“My eldest brother is the finest; my second brother comes next; I, Bian Que, am the least of the three.”
King Wen said:
“May I hear why?”
Bian Que answered:
“My eldest brother sees illness in the spirit, before it has taken shape, and removes it unseen; therefore his name is known only within our household.
My second brother treats illness when it is but a hair’s breadth from appearing; therefore his name does not travel beyond our village lane.
As for me, Bian Que: I pierce the blood vessels, administer strong medicines, and cut open the flesh. Thus, by such visible acts, my name has spread among the lords.”
The real story here is that this may be the beginning of governments restricting the availability of strong LLMs to the public, to you. Fable was the strongest model on the market, and the US government has told you you can't use it (technically, only if you're not a US citizen, but in practice, even if you are). If you think the solution here is going to be open source Chinese models and / or running on your own hardware, think again. Do you think China is going to allow the strongest LLMs from companies within its borders to be open source a year from now when they have Mythos capabilities, if the US government is keeping the strongest American models back? Unlikely. These are heading in the direction of being powerful cybersecurity weapons and it will be in the interest of nation states to restrict and control them. In 2 years time, I would be surprised if the strongest LLMs are available for general use at all.
Will we be the poorer for that, or will we be safer? I think poorer, because I hate being told what technology I can and can't use, but I'm not certain. Maybe you think the government should restrict strong LLMs. Maybe you don't. But either way, this is big news and a rubicon has been crossed and a precedent set. That's true even if the motivation for this is just the government settling scores with Anthropic.