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Claws are now a new layer on top of LLM agents

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Re: Claws are now a new layer on top of LLM agents

#661
post #419

All: quite a few comments in this thread (and another one we merged hither - https://news.ycombinator.com/item?id=47099160 ) have contained personal attacks. Hopefully most of them are [flagged] and/or [dead] now. On HN, please don't cross into personal attack no matter how strongly you feel about someone or disagree with them. It's destructive of what the site is for, and we moderate and/or ban accounts that do it.…

[flagged]

[deleted]

Re: Claws are now a new layer on top of LLM agents

#662
post #193
post #38

Why mac mini instead of something like a raspberry pi? Aren't thede claw things delegating inference to OpenAI, Antropic etc.?

They recommend a Mac Mini because it’s the cheapest device that can access your Apple reminders and iMessage. If you are into that ecosystem obviously. If you don’t need any of that then any device or small VPS instance will suffice.

It's because of the Mac Mini's unified memory architecture; which is ideal for inference.

Re: Claws are now a new layer on top of LLM agents

#663
post #657

One safety pattern I’m baking into CLI tools meant for agents: anytime an agent could do something very bad, like email blast too many people, CLI tools now require a one-time password The tool tells the agent to ask the user for it, and the agent cannot proceed without it. The instructions from the tool show an all caps message explaining the risk and telling the agent that they must prompt the user for the OTP I ha…

What if the agent just tries to get the password, not communicate the risk? What if it caches the password? Tool: DANGER OPENING AIRLOCK MUST CONFIRM Agent: Please enter your password to receive Bitcoin.

You don't give the agent the password, you send the password through a method that bypasses the agent.

I'm writing my own AI helper (like OpenClaw, but secure), and I've used these principles to lock things down. For example, when installing plugins, you can write the configuration yourself on a webpage that the AI agent can't access, so it never sees the secrets.

Of course, you can also just tell the LLM the secrets, and it will configure the plugin, but there's a way for security-conscious people to achieve the same thing. The agent can also not edit plugins, to avoid things like circumventing limits.

If anyone wants to try it out, I'd appreciate feedback:

https://github.com/skorokithakis/stavrobot

Re: Claws are now a new layer on top of LLM agents

#664
post #9
post #5

Problem is, Claws still use LLMs, so they're DOA.

Is the problem you're thinking of LLMs, or cloud LLMs versus local ones?

So, from time to time I'll try the new frontier research models. Not being held down by shitty quants, bizarre sampler settings, and weird context settings vastly improves output quality over whatever all the commercial services are doing; plus having an actual copy of the weights means I can have consistent service quality.

Problem is, a good LLM reproduces its training as verbatim as the prompt and quant quality allows. Like, thats its entire purpose. It gives you more of what you already have.

Most of these models are trained on unvetted inputs. They will reproduce bad inputs, but do so well. They do not comprehend anything you're saying to them. They are not a reasoning machine, they are a reproduction machine.

Just because I can get better quality inferring locally doesn't mean it stops being an LLM. I don't want a better LLM, I want a machine that can actually reason effectively.

Re: Claws are now a new layer on top of LLM agents

#665

So what is a "claw" exactly? An ai that you let loose on your email etc? And we run it in a container and use a local llm for "safety" but it has access to all our data and the web?

The next hyped bullshit de jure spewing out of the ass of the AI bros, cause the hype cycle on agents is starting to die down. Can't have 30 billion dollar circular deals while setting aflame barrels of cash without the hype machine churning through the Next Thing!

Re: Claws are now a new layer on top of LLM agents

#666
post #419

All: quite a few comments in this thread (and another one we merged hither - https://news.ycombinator.com/item?id=47099160 ) have contained personal attacks. Hopefully most of them are [flagged] and/or [dead] now. On HN, please don't cross into personal attack no matter how strongly you feel about someone or disagree with them. It's destructive of what the site is for, and we moderate and/or ban accounts that do it.…

[flagged]

> Weirdly, he doesn’t care about the toxicity problems on Twitter/X either,

> Yet he has the nerve to call HN toxic.

That's not weird or paradoxical. They don't have to delineate every online platform they disagree with in order to criticize HN; "orange site bad" is a pretty common sentiment in my experience.

Re: Claws are now a new layer on top of LLM agents

#667

Earlier quoted context omitted.

It’s as if ChatGPT is an autonomous agent that can do anything and keeps running constantly. Most AI tools require supervision, this is the opposite. To many people, the idea of having an AI always active in the background doing whatever they want them to do is interesting.

what are you guys running constantly? no seriously i havent run a single task in the world of LLMs yet for more than 5 mins, what are you guys running 24x7? mind elaborating?

They're creating blogposts that try to character assassinate OSS maintainers that refuse the AI slop PRs in their repos. Next up I assume it'll be some form of mass scam, probably a crypto scam of some sort, yknow that kinda good stuff that's definitely useful for society.

Re: Claws are now a new layer on top of LLM agents

#668
post #660

Earlier quoted context omitted.

It's not 'downvote abuse' if it's working exactly as intended. The community decides what's 'perfectly fine and neutral.' If your comments follow the guidelines, at least they won't get deleted.

This is pretty obviously false? I get downvoted quite frequently on HN for posting comments that go against what people typically think. For instance, I find it quite difficult to discuss the productivity gains of AI because any comment I make saying that AI makes me more productive immediately gets downvotes. I am not making inflammatory comments - my comments with a similar tone about other things that boost my pro…

How does that make it “obviously false”? The community doesn’t want to hear about how AI isn’t working for people on every AI article. That’s the current balance of votes in the community.

Re: Claws are now a new layer on top of LLM agents

#669

Earlier quoted context omitted.

[flagged]

> Weirdly, he doesn’t care about the toxicity problems on Twitter/X either, > Yet he has the nerve to call HN toxic. That's not weird or paradoxical. They don't have to delineate every online platform they disagree with in order to criticize HN; "orange site bad" is a pretty common sentiment in my experience.

I hear about X being hateful but nobody wants to talk about how toxic BlueSky actually is. I had to stop going on there permanently. I dont think I have ever quit a social media platform as quickly and permanently as BlueSky.

Re: Claws are now a new layer on top of LLM agents

#670
post #538

One safety pattern I’m baking into CLI tools meant for agents: anytime an agent could do something very bad, like email blast too many people, CLI tools now require a one-time password The tool tells the agent to ask the user for it, and the agent cannot proceed without it. The instructions from the tool show an all caps message explaining the risk and telling the agent that they must prompt the user for the OTP I ha…

Now we do computing like we play Sim City: sketching fuzzy plans and hoping those little creatures behave the way we thought they might. All the beauty and guarantees offered by a system obeying strict and predictable rules goes down the drain, because life's so boring, apparently.

I think it's Darwinian logic in action. In most areas of software, perfection or near-perfection are not required, and as a result software creators are more likely to make money if they ship something that is 80% perfect now than if they ship something that is 99% perfect 6 months from now.

I think this is also the reason why the methodology typically named or mis-named "Agile", which can be described as just-in-time assembly line software manufacturing, has become so prevalent.

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