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SAI is hosting an official ICRA 2026 competition: the Sim2Real Soccer Challenge, in partnership with the University of Freiburg and @boosterobotics.
Teams will train policies in the SAI Soccer Simulation Suite and deploy those same policies on Booster K1 humanoids during the finals in Vienna.
A unified benchmark for sim-to-real humanoid control.
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Another major player in the robotics meta just got featured on stream
@NRNAgents has figured out how to train robotic policies purely from video input — no expensive sensors or motion setups needed.
The implications are massive: faster training, larger scalability, and robots that can learn at internet speed.
Crazy impressive tech. $NRN
Our Go2 just navigated a real world maze. Autonomously.
No teleop. No remote control. Trained entirely in simulation using data from our team alone.
Imagine what happens with more.
@loredotxyz official X (Twitter) account has been hacked. The team is already taking the necessary steps to recover it. Please do not click any links or interact with posts from the account until they confirm it’s safe. They’ll share an update once everything is secure again. Stay safe, and thank you for your patience.
Extremely excited to start open sourcing some tools to make training humanoids more accessible!
You can try out our code for teleoperation and training on github. Also we have some baseline pre-trained models for our Booster competition on Hugging Face!
Reflections from Singapore.
If you want to understand what’s coming next for $NRN, keep reading.
Just know... this is going to be one of those “I told you so” moments later on.
First of all...
After spending the week at Token2049, one thing is obvious... Robotics is going to be massive.
Right now, the setup feels a lot like Q4 last year before the agent explosion… except this time, the barriers to entry are much higher.
Building in robotics isn’t easy. It’s a complex problem that touches hardware, data, simulation, and coordination.
Which means it’s much harder to fake progress only real builders will thrive.
And that’s a good thing. Web3 gets an opportunity to turn its attention toward real innovation.
More importantly...
The market is massively underestimating how $NRN is positioned.
We’re sitting in an incredibly unique spot. There’s basically no competition doing what we’re doing in web3.
‣ Our focus is on innovation in robotics models (software)
‣ Our edge is in our expertise in Reinforcement Learning (RL).
That's our superpower.
And because of this, we’re going to become a critical hub for the entire web3 robotics ecosystem.
I met with nearly every serious robotics project in web3 last week in Singapore… and let’s just say, expect (many) collaborations and growing utility for $NRN.
Here's the kicker...
We’re not here just to win web3 robotics.
We’re going after a critical gap that’s holding back the ENTIRE robotics industry.
We’ve been quietly building the infrastructure to solve it. And now, it’s ready to scale.
That’s SAI (@CompeteSai).
I'll unpack the thesis for future posts.
But for now, just know that $NRN will harness web3’s incentive and coordination mechanics to accelerate SAI’s network effects.
And as SAI scales, value will flow right back to $NRN.
Ultimately...
We know we can tell the story of $NRN better... that’s on me.
Leaving Singapore, I'm feeling re-energized and more convicted than ever.
If you takeaway just one thing... this is inflection point.
Because in retrospect, it's all going to be so obvious.
Robots learning skills from pixels alone.
Motion data scarcity is a bottleneck for the robotics industry.
We’re breaking that.
$NRN devs are cooking a new pipeline where humanoids learn skills straight from video.
No mocap suits. Just pixels.
Which means:
• Anyone can contribute with just a phone
• Massive online video datasets can finally be unlocked
New paradigm incoming.
Can’t reveal who yet… but one of the top CTOs in robotics is now advising our team.
He’s taken humanoids from lab demos → 9-figure rounds with THE leading AI frontier lab.
Just got off another strategy call with him... buzzing from the convos already.
The roadmap ahead is insane.
The lights in our robotic lab is always on.
Coffee cups stacked up.
Months of maniacal building by the devs - i guess you can say, like machines - $NRN is now positioned to seize a leading role in the emerging robotics opportunity.
Our goal is clear: to be #1.
From the very beginning, our work with AI has enabled new kinds of use cases, putting AI agents to work, and continuously teaching them to get better.
Now, we hold a clear edge in training robots that are useful and valuable across both commercial and entertainment applications.
The right parties are already paying attention.
But our early demos (more coming) are just the beginning compared to what we’ll unveil in the months ahead.
Strap in. The ticker is $NRN.
Intern here.
I'm not really suppose to tell you this yet... but we’re about to open our private $NRN creator program.
AI and Robotics are the most important technologies of our lifetime, we are creating an invite-only NRN community for top creators to share our learnings & provide previews on our progress.
Fill the following form before they make me take it down...
https://t.co/i9NA7x5D3l
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