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> Future robots may learn in their dreams... So prescient. I definitely think this will be a thing in the near future ~12-18 months time horizon
by diwank 1y ago
> Future robots may learn in their dreams...
So prescient. I definitely think this will be a thing in the near future ~12-18 months time horizon
- deleted 1y ago[deleted]
- neom 1y agoI'm invested in a startup that is doing something unrelated robotics, but they're spending a lot of time in Shenzhen, I keep a very close eye on robotics and was talking to their CTO about what he is seeing in China, versions of this are already being implemented.
- dingnuts 1y ago[flagged]
- sureglymop 1y agoI have no doubts that is the case. Just look at this new Unitree robot that was unveiled a mere 6 hours ago: https://youtu.be/ve9USu7zpLU?feature=shared https://youtu.be/ve9USu7zpLU?feature=shared And these are consumer options, affordable to you and me, not only to some military. If those are the commonly available options... there may be way more advanced stuff that we haven't seen.
- dingnuts 1y agothis stuff is old tech, and has nothing to do with transformers. The Boston Dynamics style robot dogs are always shown in marketing demos like the one you linked in secretly very controlled environments. Let me know when I can order one that will bring the laundry downstairs for my wife. I asked for real examples from someone who claimed to have first hand experience, not more marketing bullshit
- schmidtleonard 1y agoThis is so standard it's part of the tutorials now https://developer.nvidia.com/isaac/gr00t https://developer.nvidia.com/isaac/gr00t
- lukeahn 1y agoGr00t works but it is not a standard yet. Can't share what I have heard, but the success rate is still far behind than other methods.
- DiggyJohnson 1y agohttps://news.ycombinator.com/newsguidelines.html https://news.ycombinator.com/newsguidelines.html
- dingnuts 1y agolol I thought this was going to be the receipts but no, I guess asking for evidence is against the rules! y'all are in a religion
- tim333 1y agoCalling someone a liar without evidence is kinda rude.
- DiggyJohnson 1y agoI genuinely have no idea where you’re coming from on this. You’re assuming way too much about everyone you disagree with
- dingnuts 1y agowhat is a robot dream when there is clearly no consciousness? What's with this insane desire for anthropomorphism? What do you even MEAN learn in its dreams? Fine-tuning overnight? Just say that!
- gavinray 1y ago> What's with this insane desire for anthropomorphism? Devil's advocate: Making the assumption that consciousness is uniquely human, and that humans are "special" is just as ludicrous. Whether a computational medium is carbon-based or silicon-based seems irrelevant. Call it "carbon-chauvinism".
- bakuninsbart 1y agoThat's not even a devil's advocate, many other animals clearly have consciousness, at least if we're not solipsistic. There have been many very dangerous precedents in medicine where people have been declared "brain dead" only to awake and remember. Since consciousness is closely linked to being a moral patient, it is all the more important to err on the side of caution when denying qualia to other beings.
- mandolingual 1y ago"Consciousness" is an overloaded thought killer that swerves all conversation into obfuscated semantic arguments. One person will be talking about 'internality' and self-image (in the testable, mechanical sense that you could argue Chain of Thought models already have in a petty way) and the other will be grappling with the concept of qualia and the ineffable nature of human experience.
- olddustytrail 1y agoYes, and an object in OOP isn't really a physical object. And a string isn't really a thin bit of rope. No-one cares. It's just terminology.
- astrange 1y agoAI has traditionally been driven by "metaphor-driven development" where people assume the brain has system X, program something they give the same name, and then assume because they've given it that name it must work because it works in the brain. This is generally a bad idea, but a few of the results like "neural networks" did work out… eventually. "World model" is another example of a metaphor like this. They've assumed that humans have world models (most likely not true), and that if they program something and call it a "world model" it will work the same way (definitely not true) and will be beneficial (possibly true). (The above critique comes from Phil Agre and David Chapman.)
- Aco- 1y ago"Do Androids Dream of Electric Sheep?"
- casenmgreen 1y agoI may be wrong, but this seems to make no sense. A neural net can produce information outside of its original data set, but it is all and directly derived from that initial set. There are fundamental information constraints here. You cannot use a neural net to itself generate from its existing data set wholly new and original full quality training data for itself. You can use a neural net to generate data, and you can train a net on that data, but you'll end up with something which is no good.
- schmidtleonard 1y agoWe are miles away from the fundamental constraint. We know that our current training methodologies are scandalously data inefficient compared to human/animal brains. Augmenting observations with dreams has long been theorized to be (part of) the answer.
- vanviegen 1y ago> current training methodologies are scandalously data inefficient compared to human/animal brains Are you sure? I've been ingesting boatloads of high definition multi-sensory real-time data for quite a few decades now, and I hardly remember any of it. Perhaps the average quality/diversity of LLM training data has been higher, but they sure remember a hell of a lot more of it than I ever could.
- neom 1y agoI might be misunderstanding your comment so sorry if so. Robots have sensors and RL is a thing, they can collect real world data and then processing and consolidating real world experiences during downtime (or in real time), running simulations to prepare for scenarios, and updating models based on the day's collected data. The way I saw it that I thought was impressive was the robot understood the scene, but didn't know how the scene would respond to it's actions, so it gens videos of the possible scenarios, and then picks the best ones and models it's actuation based on it's "imagination".
- hnuser123456 1y agoIt's feasible you could have a personal neural net that fine-tunes itself overnight to make less inference mistakes in the future.