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A sane but bull case on Clawdbot / OpenClaw

brandon.wang

491–500 of 504 posts

Re: A sane but bull case on Clawdbot / OpenClaw

#491
post #408

Earlier quoted context omitted.

Fridge cataloging is actually a great use case for image recognition, the problem is fridges no accommodations to power accessories inside them. I have a couple of temperature sensors to alert Home Assistant if the fridge gets too warm. It would be easy and cheap to add some ESP32-camera modules to track contents...but there's no way to power them nicely (I simply don't know where I could pull USB power through).

Samsung makes an "AI Vision" fridge I looked at briefly, but it didn't come close to making sense for us given the unreliability of the vision system, the cost of replacing a couple fridges, and the comparative simplicity of a paper list.

I have one. It’s the stupidest thing ever. It tries to detect food items going in and out, requires confirmation on screen, and maybe categorises 5% of things automatically.

Re: A sane but bull case on Clawdbot / OpenClaw

#492
post #20

I'm still trying to understand what makes this project worthy of like 100K Github stars overnight. What's the secret sauce? Is it just that it has a lot of integrations? Like what makes this so much more successful than the ten thousand other AI agent projects?

The most blatant online ad campaign ever?

Re: A sane but bull case on Clawdbot / OpenClaw

#493

Earlier quoted context omitted.

You going to train your own model so you don't have to have a model recommending products that google/anthropic/openai ran paid alignment on to encourage you to drink your ovaltine?

Of course. Everything will filter though a final layer of fast and performance "filter" models. Social media algorithms will be replaced by personal recommender agents acting as content butlers. We just need a good pane of glass to house this.

And in this future your building, does everyone also have their own data center to do that inference training you say "of course" everyone will do?

Re: A sane but bull case on Clawdbot / OpenClaw

#494

Earlier quoted context omitted.

I understand your sentiment but nitpicking on this nonetheless: the passenger can easily open the glovebox from the touchscreen on their own.

True though I would take exception with “Easily” - have you seen how many taps you have to do? Not something you want to attempt while driving and certainly not easier than a hardware button.

Two. Car icon in the bottom left corner, than the big icon on the right called "open glove box" in the quick access menu that is shown by default.

Re: A sane but bull case on Clawdbot / OpenClaw

#495

Earlier quoted context omitted.

The point is that right now self driving cars hasn’t been very transformative. It might be, in future tense. But right now if your world has been turned upside down by self driving, you’re very much living in a bubble.

Or you own a later model car with blind spot detection, automatic Lane keeping, self parking and a bunch of other AI/ML safety features that invisibly lower the cognitive load of driving. The real bubble is the United States as the global luddite with nukes. The rest of the world is continuing apace on every front while we desperately try to return to the previous century.

That's not "full self driving" by any stretch of the imagination. Where are these goalposts again?

Re: A sane but bull case on Clawdbot / OpenClaw

#496

Earlier quoted context omitted.

I believe you need to pay for an add-on called "Microsoft 365 Copilot" https://www.microsoft.com/en-gb/microsoft-365-copilot

Wouldja look at that. Thanks! The naming of these things makes it all very clear, really.

Yes its clear as mud

Re: A sane but bull case on Clawdbot / OpenClaw

#497

Earlier quoted context omitted.

Wrong way to look at it. Generally there are 2 types of human intelligence - simulation and pattern lookup (technically simulation still relies on pattern lookup but on a much lower level). Pattern lookup is basically what llms do. Humans memorize the maps of tasks->solutions and statistically interpolate their knowledge to do a particular task. This works well enough for the vast majority of the people, and this is…

At the longest timescale humans aren’t the best at either I have yet to see a compelling argument demonstrating that humans have some special capabilities that could never be replaced

Sure. Its not a hardware problem though, but an algorithm problem. And to train something that behaves like a human can't be done with backpropagation in the way its implemented currently. You basically have to figure out how to train neural nets that are not only operating in parallel with scheduling, but also be able to iterate on their architecture.

Re: A sane but bull case on Clawdbot / OpenClaw

#498

Earlier quoted context omitted.

I do not doubt that AI and AI-powered and -native applications will become part of the fabric of our personal and professional lives. What I don't understand is why, outside of "because I can", people need to automate parts of life I did not know the existence of. - Why, outside of edge cases, do people have to automate the payment of bills beyond the automatic cc processing? - How many times a month do they have to…

I would love an AI to curate my feed to transition from enragement equals engagement to pure enchantment feeding me things it decides I would enjoy. And I think that's completely within the abilities of current models. It's just that it's less profitable than driving me into an endless doom scroll loop of despair. And that's just off the top of my head. AI is neither good or evil, but we've made some pretty poor choi…

While I find the aspiration noble, it seems to me that we don't even know ourselves what we want, or, alternatively, we re-discover every day how our revealed preferences differ from our stated ones. We don't even trick other people, we trick ourselves.

There was also some evolutionary biology/psychology theory developed by Robert Trivers years ago on self-deception and fitness.

We buy a book thinking we are going to like it, and then we don't even open it. The recommender systems give us more of what we interact with (with some quite extreme funnel effects at times, like when we curiously look at a pimple popper video and for the next ten minutes the algo gives us pimple after pimple), but we find out, as stated but not as revealed, that we don't want more of what we interact with.

Nobody wants, in theory and as stated, to be constantly enraged by social media, but most of us, since numbers don't lie, are revealed to enjoy getting enraged.

I don't think AI will have a different effect in the near future, as the main problem is that we don't know, broadly speaking, what we want, apart from the obvious, e.g., I want to watch a football game and I am going to turn on the tv and watch it.

Re: A sane but bull case on Clawdbot / OpenClaw

#499

- Why do you need a reminder to buy gloves when you are holding them? - Why do you need price trackers for airbnb? It is not a superliquid market with daily price swings. - Cataloguing your fridge requires taking pictures of everything you add and remove which seems... tedious. Just remember what you have? - Can you not prepare for the next day by opening your calendar? - If you have reminders for everything (respond…

> Cataloguing your fridge requires taking pictures of everything you add and remove which seems... tedious. Just remember what you have? Yeah, the sane solution here is much simpler. Put a magnet whiteboard. When you put something into the fridge, add it to the whiteboard. When you take something out, you erase that item from the whiteboard.

Obviously the sane solution is to put a webcam inside your fridge

Re: A sane but bull case on Clawdbot / OpenClaw

#500
The calendar aggregation example keeps coming up, and I think it illustrates the real divide in how people think about these tools. The skeptics are right that you shouldn't trust a non-deterministic system to never miss a school event. But the proponents aren't really asking for that — they want a morning briefing that saves them from opening four apps, not a replacement for the calendar itself. The sweet spot for agent-based tools right now is read-heavy, write-light workflows. Aggregating and summarizing information across sources? Great. Autonomously rescheduling your meetings? Probably not yet. The security concerns about granting calendar access are valid though — the permission model needs to be way more granular than "full access to everything."
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