Make he pass am abeg.

With NEAR’s secure and scalable blockchain infrastructure, sensitive actions can be verified without exposing private data. That means robots can prove they are doing what they’re supposed to do without spying, oversharing, or leaking personal information.

OpenMind is building robots on a trust-first foundation. Instead of robot data being sent to hidden, centralized servers, identities and permissions are handled in a transparent, verifiable way. Every robot has its own secure identity, and interactions are governed by clear rules

This is where @openmind_agi , alongside @NEARProtocol, is taking a very important step.

One of the biggest concerns people have about robots in their homes is privacy and for good reason. If a robot can see, hear, and move around your personal space, people naturally want to know: Who controls the data? Who can access it? And can it be misused?

With OM1, control goes beyond local programming. You can now control the robot remotely, triggering real physical actions like walking, turning, bowing, crouching, push-ups, and more all through a unified software layer.

@openmind_agi’s OM1 now supports the Ubtech Yanshee humanoid robot and this is a bigger deal than it sounds.

Yanshee is a small, education focused humanoid robot designed for learning, testing, and experimentation. It runs on a Raspberry Pi and supports popular programming languages like Python, Java, C/C++, as well as simple block-based coding.

It feels like we’re witnessing the early stages of robots that can actually think through tasks, adapt on the fly, and respond intelligently rather than simply execute orders. With every update, that future becomes less theoretical and more real.

They can observe their environment, understand what’s going on, and make decisions based on context not just pre-written instructions. That’s a big shift.

GM CT Do you know @openmind_agi is making a major leap toward real machine intelligence, especially in how robots behave and respond to the world around them. These machines aren’t just following fixed commands anymore.

If anyone has solid tips or smarter approaches to recover losses sustainably (not gambling), feel free to share. We keep learning, adapting, and moving forward 😇

patience, discipline, and good risk management, not just confidence. A new week means a fresh start. You reset, refine your strategy, size your bets better, and stick to probabilities instead of emotions. Polymarket isn’t just about guessing right, it’s about understanding odds.

Losing funds back to back on sports predictions on @Polymarket can be mentally exhausting. It really messes with your head, especially when you feel like your analysis made sense but the outcome still went the other way. That said, it’s part of the game prediction markets reward

tells you everything you need to know about their long-term vision. Just my honest take. That’s why I’m doubling down on @openmind_agi , @Polymarket , @PrismaXai, and @Polymer_Labs . High execution. Clear fundamentals. They all share one thing: value is delivered through action.

You can build incredible tech, generate massive hype, and still lose your community if the reward structure feels rushed, unfair, or poorly aligned. Instead of chasing noise, it’s smarter to watch how teams behave because how they treat users before and after TGE.

We’re not just watching the future unfold… We’re trading on it.

2025 is officially the year AI stepped into its full power even TIME agrees. And if you’ve been following @Polymarket, you already know the markets spotted this momentum early. Real-time predictions + real-world breakthroughs = the new global signal system.

Different missions, same outcome: Make crypto smoother, cheaper, and invisible so builders can focus on products, not problems.

🔹 Brevis cuts down the cost of using ZK proofs, making verification cheap and fast. 🔹 Polymer Labs removes the friction of moving data/messages across chains with universal IBC rails.