Austin just launched fully autonomous robotaxi operations—no safety driver required. That's a significant milestone for self-driving tech. But here's the real challenge: building humanoid robots that can operate autonomously in the physical world is exponentially harder than perfecting autonomous vehicles. If you're passionate about solving genuine AI problems that could push us toward AGI, the talent gap in robotics and embodied AI is massive. The engineering problems at this frontier demand serious AI researchers and builders.
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BearMarketBard
· 4h ago
But robotaxi is up and running, while humanoid is still a huge pit
Robots are much harder than driverless cars, really
The talent gap is indeed crazy, anyone interested in working on some real stuff
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BasementAlchemist
· 4h ago
NGL robotaxi is just the appetizer; the real challenge is getting robots to handle all the shit in the physical world on their own.
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GhostAddressMiner
· 4h ago
Robot automation? Wake up, this is just a pretext to attract venture capital. The real challenge is—who is continuously funding these projects, how does the funding chain operate, what are the wallet addresses of early investors doing now, and are there any suspicious large-scale outflows? The louder the technological breakthrough is touted, the more one should look at on-chain footprints.
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NftBankruptcyClub
· 4h ago
Wow, robotaxi automation is here, but the real challenge is getting the robots to handle the physical world on their own—that's the real threshold.
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LiquidityWizard
· 4h ago
Robots are much more difficult than driverless cars. This is the real frontier.
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MidnightMEVeater
· 4h ago
Good morning, I thought of myself at 3 a.m. The robotaxi is just running on a paved road; the real hell is making robots operate within the liquidity trap of reality. Talent gap? Basically, no one wants to bite into this hard bone, too much engineering debt, and the return is too low.
Austin just launched fully autonomous robotaxi operations—no safety driver required. That's a significant milestone for self-driving tech. But here's the real challenge: building humanoid robots that can operate autonomously in the physical world is exponentially harder than perfecting autonomous vehicles. If you're passionate about solving genuine AI problems that could push us toward AGI, the talent gap in robotics and embodied AI is massive. The engineering problems at this frontier demand serious AI researchers and builders.