Ever wonder how robots actually learn to operate in the real world?
For a long time, I assumed it was mostly about better hardware and smarter AI models. The more I read about robotics, though, the more I realize that data is just as important.
And a lot of that data comes from teleoperation.
People remotely control robots through VR headsets, joysticks, and other interfaces, guiding them through tasks that are often difficult for autonomous systems to handle on their own.
What makes this interesting to me is that the real world isn't predictable.
A robot might perform perfectly in a controlled environment, but things change quickly outside of it. Objects are misplaced, environments shift, and unexpected situations happen all the time. Human operators help robots learn how to deal with those situations by demonstrating tasks in real conditions.
That's one of the reasons PrismaX caught my attention.
Instead of relying on a small number of labs to collect robotics data, they're opening participation to a much larger network of contributors.
People can connect to remote robots, complete tasks, and help generate data that can be used to improve Physical AI systems.
The workflow is pretty simple:
• humans operate robots remotely.
• real-world interactions are recorded.
• performance is evaluated.
• high-quality data is added to the network.
• AI systems learn from those examples.
The more I learn about robotics, the more I think the future won't be shaped by hardware alone.
Human experience, real-world interactions, and quality data all seem to play a much bigger role than most people realize.
@PrismaXai
This week’s https://t.co/WBfpwJpk5Q OG Code Giveaway is here.
As the beta community continues to grow, we’re releasing another 5 exclusive OG invite codes for early testers to explore AI Skills as on-chain assets.
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Explore the beta:
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Join the official Telegram for beta access instructions, updates, and tester support:
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To qualify, please complete all steps:
→ Follow @FinChip_AI
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Entries close in 24 hours.
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A crazy competition is going on inside the Jupiter app ahead of the FIFA World Cup 2026.
The competition has two categories, and one of them is completely free.
You'll get 1 free roll to predict the results and earn a share of the $25K prize pool.
The second one is paid, where you need to stake USDC, with a total reward pool of $100K .
How to participate?
@JupiterExchange keeps everything very simple.
• visit jupiter app
• choose 5 matches in a row
• make prediction
If all your predictions are correct, you'll receive a portion of the reward pool.
But remember, if you miss even one, you're rekt!
I’ve attached my picked, you can drop yours too.
For a long time, blockchain performance has been measured by only TPS.
But raw throughput means little if validators are still waiting for data to arrive.
The real challenge isn't just processing the blocks. It's distributing them across a global network as fast as possible.
That's where Optimum's Flexnodes introduce an interesting approach.
Think of them as a decentralized layer of bandwidth providers. Instead of leaving data propagation entirely to validators, Flexnodes help move coded block data across the network, reducing latency and improving delivery speed.
The technology behind this is RLNC (Random Linear Network Coding).
Rather than sending identical copies of block data, information is encoded into equations that can be recombined and decoded once enough pieces are received. This makes propagation more resilient and efficient, especially across geographically distributed networks.
What stands out to me is the incentive design?
Validators benefit from receiving data faster through fewer missed opportunities and improved network performance.
Flexnode operators benefit by contributing unused bandwidth and earning rewards in return.
A network where everyone is incentivized to improve data movement.
Even more interesting, the vision extends beyond Ethereum and beyond propagation itself.
As Optimum expands into new chains and products like DeRAM, the same Flexnode infrastructure could support data storage, propagation, and other RLNC-powered services.
The demand for blockchain data movement is only going to increase.
Building a global marketplace around bandwidth and latency feels like a logical step toward scaling the next generation of decentralized networks.
@get_optimum