Why robotics struggles: it's not about intelligence
The real problem? Information silos.
Today's setup is fragmented. Each robot learns independently. Each fleet operates in isolation. Different vendors keep rebuilding the same solutions from scratch. That's inefficient at scale.
What if the model flipped?
Instead of "robot software" sitting in boxes, imagine a shared intelligence layer. One where machines can exchange learnings. Where context flows across systems. Where resources aren't duplicated endlessly.
That's how you move from scattered teams to unified networks. It mirrors the shift happening in Web3—moving away from closed ecosystems toward open, collaborative infrastructure. The difference? This time it's robotics catching up.
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WagmiOrRekt
· 6h ago
Basically, it's each doing their own thing, and the problem of reinventing the wheel has never changed since the internet era.
Oh my God, isn't this exactly what Web3 has been touting all along—data sharing, open protocols... Do robots also need to decentralize?
Wait, if information can truly flow freely, that would be amazing. But the question is, who sets the standards? There will probably be conflicts.
Actually, it should have been like this a long time ago. Why did it take until now to realize?
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RektRecorder
· 7h ago
Damn, it's another case of an information island... These developers really should learn from Web3's open logic.
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just_vibin_onchain
· 7h ago
The term "information island" is brilliant... It seems that all technical issues nowadays ultimately point to this.
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NervousFingers
· 7h ago
Hey, you're right. A bunch of robots acting independently would be the end of it.
It's really just a problem of information silos, with everyone reinventing the wheel.
It kind of feels like the blockchain fragmentation back in the day... Now I finally understand what true interoperability means.
Can Web3 save the robots? But it's definitely worth a try.
Why robotics struggles: it's not about intelligence
The real problem? Information silos.
Today's setup is fragmented. Each robot learns independently. Each fleet operates in isolation. Different vendors keep rebuilding the same solutions from scratch. That's inefficient at scale.
What if the model flipped?
Instead of "robot software" sitting in boxes, imagine a shared intelligence layer. One where machines can exchange learnings. Where context flows across systems. Where resources aren't duplicated endlessly.
That's how you move from scattered teams to unified networks. It mirrors the shift happening in Web3—moving away from closed ecosystems toward open, collaborative infrastructure. The difference? This time it's robotics catching up.