Comment by koakuma-chan
9 days ago
It's kind of crazy that this kind of thing can cause so much hype. It is even useful? I just really don't see any utility in being able to access an LLM via Telegram or whatever.
9 days ago
It's kind of crazy that this kind of thing can cause so much hype. It is even useful? I just really don't see any utility in being able to access an LLM via Telegram or whatever.
I think a lot of this is orchestrated behind the scenes. Above author has taken money from AI companies since he’s a popular “influencer”.
And it makes a lot of sense - there’s billions of dollars on the line here and these companies made tech that is extremely good at imitating humans. Cambridge analytica was a thing before LLMs, this kinda tool is a wet dream for engineering sentiment.
the ability to almost "discover" or create hype is highly valued despite most of the time it being luck and one hit wonders... See many of the apps that had virality and got quickly acquired and then just hemorrhaged. Openclaw is cool, but not for the tech, just some of the magic of the oddities and getting caught on somehow, and acquiring is betting that they can somehow keep doing that again.
A lot of the functionality I'm not using because of security concerns, but a lot of the magic comes down to just having a platform for orchestrating AI agents. It's honestly nice just for simple sysadmin stuff "run this cron job and text me a tl;dr if anything goes wrong" or simple personal assistant tasks like"remind me if anyone messaged me a question in the last 3 days and I haven't answered".
It's also cool having the ability to dispatch tasks to dumber agents running on the GPU vs smarter (but costlier) ones in the cloud
but why?
Because it's the easiest way for me to accomplish those tasks (but open to suggestions if you have any)
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In Asia people do a big chunk of their business via chatbots. OpenClaw is a security dumpster fire but something like OpenClaw but secure would turbocharge that use case.
If you give your agent a lot of quantified self data, that unlocks a lot of powerful autonomous behavior. Having your calendar, your business specific browsing history and relevant chat logs makes it easy to do meeting prep, "presearch" and so forth.
Curious how you make something that has data exfiltration as a feature secure.
Mitigate prompt injection to the best of your ability, implement a policy layer over all capabilities, and isolate capabilities within the system so if one part gets compromised you can quarantine the result safely. It's not much different than securing human systems really. If you want more details there are a lot of AI security articles, I like https://sibylline.dev/articles/2026-02-15-agentic-security/ as a simple primer.
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There's been some crypto shenanigans as well that the author claimed not to be behind... looking back at it, even if the author indeed wasn't behind it, I think the crypto bros hyping up his project ended up helping him out with this outcome in the end.
Can you elaborate on this more or point a link for some context?
Some crypto bros wanted to squat on the various names of the project (Clawdbot, Moltbot, etc). The author repeatedly disavowed them and I fully believe them, but in retrospect I wonder if those scammers trying to pump their scam coins unwittingly helped the author by raising the hype around the original project.
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