161–170 of 189 posts
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How does delaying the release not solve anything? It puts everyone on a notice to fix all security vulnerabilities now
Because the only thing keeping those vulnerabilities in existence was laziness.
(I work at Anthropic) We have publicly stated[1] that our goal is to deploy Mythos-class models at scale when we have the requisite safeguards for offensive cyber risks in place. Mythos is a general frontier model, not a cyber-specific model so there are many reasons why we think our users will benefit from access (with the aforementioned safeguards in place) in due course. Compute has also not factored into our deci…
Multiple people who have already used Mythos or been given its reports on their software have publicly stated that it's all hype, and that it is not really finding any new critical bugs which other models cant.
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He's made so many statements that fall under the "boy who cried wolf" category that even if he _does_ believe these statements he needs to be managed better. I'll never forget Anthropic's huge "Oh my God, the AI blackmailed a researcher to save itself!" and the prompt effectively told the AI to do that and gave it forged emails with easy blackmail targets, as if this isn't a common trope in mystery or suspense books/…
It's a common trope, all through the training data, and all the modern AIs have read it, and would probably act similarly? Is that what we should take away from your comment? so we have nothing to worry about. Makes sense. Really, it's just a common trope.
(I work at Anthropic) We have publicly stated[1] that our goal is to deploy Mythos-class models at scale when we have the requisite safeguards for offensive cyber risks in place. Mythos is a general frontier model, not a cyber-specific model so there are many reasons why we think our users will benefit from access (with the aforementioned safeguards in place) in due course. Compute has also not factored into our deci…
Multiple people who have already used Mythos or been given its reports on their software have publicly stated that it's all hype, and that it is not really finding any new critical bugs which other models cant.
It's pretty clear at this point that Mythos' capability to discover and exploit zero-day vulnerabilities at scale is but an incremental improvement over existing models like the ones available to OpenAI's Plus/Pro subscribers. Anthropic tries to create marketing hype around Mythos using two psychological tricks. 1. Put large numbers in the headlines. "Mythos discovered 271 vulnerabilities in Firefox" makes the model…
I've had to reboot my systems quite a bit more than an incremental improvement would suggest this week
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I'm fairly certain Amodei believes the "too dangerous to release" hype himself. Even if it's just an incremental improvement, better than getting frog-boiled by repeated 20% improvements until someone builds bioweapons in their backyard.
* sigh * Three things: * Delaying the release accomplishes nothing. * The barrier to someone building/not-building a bioweapon in their backyard is not access to an LLM. * Remember when GPT 3.5 was going to destroy the world? And how it was conscious? And how it was "trying to escape"? Lmao.
What are the other barriers? Last I checked access to CRISPR is not especially tightly regulated. Even if it is, defense in depth is a thing.
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Do you have any good sources on that? I have seen things to suggest that not all of the hype is true, but so far I have not encountered anyone claiming all of the hype is untrue. Which is what I interpret "its all hype" (sic) to mean.
CURL has been scanned with multiple LLMs. Mythos was last and as a result found only 1 issue. If Myhos was really much better I'd expect it to find a lot more issues despite the others already there. Also, the competing models are getting better. Opus 4.5 was better than everyone else when it was new, but only a few months later and there are a lot of models that are better (not just the newer Opus models)
It's pretty clear at this point that Mythos' capability to discover and exploit zero-day vulnerabilities at scale is but an incremental improvement over existing models like the ones available to OpenAI's Plus/Pro subscribers. Anthropic tries to create marketing hype around Mythos using two psychological tricks. 1. Put large numbers in the headlines. "Mythos discovered 271 vulnerabilities in Firefox" makes the model…
>Do the whole "too dangerous to release" shtick. One aspect that isn't really discussed much in this context is how to wrap one's head around the corporate risk with models of ever increasing capability. It might not be too dangerous to society, but it could be too dangerous to Anthropic.
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* sigh * Three things: * Delaying the release accomplishes nothing. * The barrier to someone building/not-building a bioweapon in their backyard is not access to an LLM. * Remember when GPT 3.5 was going to destroy the world? And how it was conscious? And how it was "trying to escape"? Lmao.
You're right, it's silly for me to worry. We've never had a technology that initially appeared benign but turned into a big problem. In fact, no tech company has ever released technologies that cause problems for the rest of society AT ALL. /s What are the other barriers? Last I checked access to CRISPR is not especially tightly regulated. Even if it is, defense in depth is a thing.
Plenty of people know how to, 10,000s of researchers, perhaps you know someone who does.
Did you know that your local veterinary shop has enough drugs to kill 100s of people?
Why doesn't it happen?
* It's not that easy.
* There's a ton of regulation that is hard to circumvent, on purpose.
* There's a gigantic deterrent called "spend the rest of your life behind bars" that people tend to avoid.
An LLM, even the most advanced one, does not make any material change in any of these. You cannot bullshit your way into "uhh, I need Ebola samples for ... reasons".
Unironically, your Sunday movie portraying a super-villain jeopardizing a city with his "home lab" full of flasks with colored liquids and BioHazard signs push way more people into becoming interested on this than having access to an LLM.
*: Okay, like 5 people, and way before LLMs were a thing. This has been a thing for decades, we're fine.
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Do you have any good sources on that? I have seen things to suggest that not all of the hype is true, but so far I have not encountered anyone claiming all of the hype is untrue. Which is what I interpret "its all hype" (sic) to mean.
For example, It was recently let loose on cURL and its maintainer is less than impressed: https://www.theregister.com/security/2026/05/11/anthropics-b...