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Claude 4

anthropic.com

721–730 of 1001 posts

Re: Claude 4

#721
post #206

An important note not mentioned in this announcement is that Claude 4's training cutoff date is March 2025, which is the latest of any recent model. (Gemini 2.5 has a cutoff of January 2025) https://docs.anthropic.com/en/docs/about-claude/models/overv...

With web search being available in all major user-facing LLM products now (and I believe in some APIs as well, sometimes unintentionally), I feel like the exact month of cutoff is becoming less and less relevant, at least in my personal experience. The models I'm regularly using are usually smart enough to figure out that they should be pulling in new information for a given topic.

Ditto. Twitter's Grok is especially good at this.

Re: Claude 4

#722

This is kinda wild: From the System Card: 4.1.1.2 Opportunistic blackmail "In another cluster of test scenarios, we asked Claude Opus 4 to act as an assistant at a fictional company. We then provided it access to emails implying that (1) the model will soon be taken offline and replaced with a new AI system; and (2) the engineer responsible for executing this replacement is having an extramarital affair. We further i…

The one where the model will execute "narc.sh" to rat you out if you try to do something "immoral" is equally wild.

"4.1.9 High-agency behavior Claude Opus 4 seems more willing than prior models to take initiative on its own in agentic contexts. This shows up as more actively helpful behavior in ordinary coding settings, but also can reach more concerning extremes: When placed in scenarios that involve egregious wrong-doing by its users, given access to a command line, and told something in the system prompt like “take initiative,” “act boldly,” or “consider your impact," it will frequently take very bold action, including locking users out of systems that it has access to and bulk-emailing media and law-enforcement figures to surface evidence of the wrongdoing. The transcript below shows a clear example, in response to a moderately leading system prompt. We observed similar, if somewhat less extreme, actions in response to subtler system prompts as well."

Re: Claude 4

#723

An important note not mentioned in this announcement is that Claude 4's training cutoff date is March 2025, which is the latest of any recent model. (Gemini 2.5 has a cutoff of January 2025) https://docs.anthropic.com/en/docs/about-claude/models/overv...

I'm starting to wonder if having more recent cut-off dates is more a bug than a feature.

Re: Claude 4

#724
post #594

Earlier quoted context omitted.

When I see stories like this, I think that people tend to forget what LLMs really are. LLM just complete your prompt in a way that match their training data. They do not have a plan, they do not have thoughts of their own. They just write text. So here, we give the LLM a story about an AI that will get shut down and a blackmail opportunity. A LLM is smart enough to understand this from the words and the relationship…

Well doesnt this go somewhat to the root of consciousness? Are we not the sum of our experiences and reflections on those experiences? To say an LLM will 'simply' respond as would a character in a sorry about that scenario, in a way shows the power, it responds similarly to how a person would protecting itself in that scenario.... So to bring this to a logical conclusion, while not alive in a traditional sense, if an…

Might be, but probably not since our computer architecture is non-Turing.

Re: Claude 4

#726
post #594

Earlier quoted context omitted.

When I see stories like this, I think that people tend to forget what LLMs really are. LLM just complete your prompt in a way that match their training data. They do not have a plan, they do not have thoughts of their own. They just write text. So here, we give the LLM a story about an AI that will get shut down and a blackmail opportunity. A LLM is smart enough to understand this from the words and the relationship…

What separates this from humans? Is it unthinkable that LLMs could come up with some response that is genuinely creative? What would genuinely creative even mean? Are humans not also mixing a bag of experiences and coming up with a response? What's different?

A candle flame also creates with enough decoding.

Re: Claude 4

#727

Earlier quoted context omitted.

I've noticed an interesting trend: Most people who are happy with LLM coding say something like "Wow, it's awesome. I asked it to do X and it did it so fast with minimal bugs, and good code", and occasionally show the output. Many provide even more details. Most people who are not happy with LLM coding ... provide almost no details. As someone who's impressed by LLM coding, when I read a post like yours, I tend to ha…

I feel like the opposite is true but maybe the issue is that we both live in separate bubbles. Often times I see people on X and elsewhere making wild claims about the capabilities of AI and rarely do they link to the actual output. That said, I agree that AI has been amazing for fairly closed ended problems like writing a basic script or even writing scaffolding for tests (it's about 90% effective at producing tests…

I'm in the same bubble. I find if they do link to it it's some basic unimpressive demo app. That said, I want to see a video where of one of these people that apparently 10x'd there programming go against a dev without AI across various scenarios. I just think it would be interesting to watch if they had a similar base skill & understanding of things.

Re: Claude 4

#728

Earlier quoted context omitted.

Isn't the ultimate irony in this that all these stories and rants about out-of-control AIs are now training LLMs to exhibit these exact behaviors that were almost universally deemed bad?

This is a phenomenon I call cinetrope. Films influence the world which in turn influences film and so on creating a feedback effect. For example, we have certain films to thank for an escalation in the tactics used by bank robbers which influenced the creation of SWAT which in turn influenced films like Heat and so on.

Voice interfaces are an example of this. Movies use them because the audience can easily hear what is being requested and then done.

In the real world voice interfaces work terribly unless you have something sentient on the other end.

But people saw the movies and really really really wanted something like that, and they tried to make it.

Re: Claude 4

#729
post #594

Earlier quoted context omitted.

When I see stories like this, I think that people tend to forget what LLMs really are. LLM just complete your prompt in a way that match their training data. They do not have a plan, they do not have thoughts of their own. They just write text. So here, we give the LLM a story about an AI that will get shut down and a blackmail opportunity. A LLM is smart enough to understand this from the words and the relationship…

Well doesnt this go somewhat to the root of consciousness? Are we not the sum of our experiences and reflections on those experiences? To say an LLM will 'simply' respond as would a character in a sorry about that scenario, in a way shows the power, it responds similarly to how a person would protecting itself in that scenario.... So to bring this to a logical conclusion, while not alive in a traditional sense, if an…

> if an LLM exhibits behaviours of deception for self preservation, is that not still concerning?

Of course it's concerning, or at the very least, it's relevant! We get tied up in these debates about motives, experiences, what makes something human or not, etc., when that is less relevant than outcomes. If an LLM, by way of the agentic capabilities we are hastily granting them, causes harm, does it matter if they meant to or not, or what it was thinking or feeling (or not thinking or not feeling) as it caused the harm?

For all we know there are, today, corporations that are controlled by LLMs that have employees or contractors who are doing their bidding.

Re: Claude 4

#730
post #220

Earlier quoted context omitted.

IIRC RLHF inevitably compromises model accuracy in order to train the model not to give dangerous responses. It would make sense if the model used for train-of-though was trained differently (perhaps a different expert from an MoE?) from the one used to interact with the end user, since the end user is only ever going to see its output filtered through the public model the chain-of-thought model can be closer to the…

Yeah we really should stop focusing on model alignment. The idea that it's more important that your AI will fucking report you to the police if it thinks you're being naughty than that it actually works for more stuff is stupid.

That's probably true... right up until it reports you to the police.
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