Roni نور More

גרה בברלין, בעלת כלבלבים [email protected]

[Figure @Figure_robot]

We taught two F.03 robots to clean a room and make a bed in under 2 minutes - fully autonomous.

[CG @cgtwts]

“who should we lay off first”

CEOs:

[Craig Weiss @craigweiss]

twice in a lifetime pandemic

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Roni نور More @RoniMore1]

@Hagaraby מזל טוב לטוצ'קה!

[Rowan Cheung @rowancheung]

MIT researchers just replicated human muscles with AI-controlled fibers.

Inside each fiber is a sealed tube of electrically charged liquid and a tiny electric pump.

When the pump activates, one side contracts while the other relaxes, just as your biceps and triceps do when you bend your arm.

How it works:

> The pump injects electrical charge into the fluid
> This creates ions that drag the liquid along with them
> No motors, no external pumps, completely silent

Because they're fibers, they bundle together just like real muscles, scaling up force by adding more strands.

In demos, these fibers were strong enough to bend a robotic arm and curl a dumbbell... but gentle enough to shake someone's hand.

From prosthetics to exoskeletons to industrial robots, this is what happens when engineers stop building around motors and start building around biology.

[Roni نور More @RoniMore1]

@LiorKir מצטערת לשמוע ליאור 🫂

[Melanie D'Arrigo @DarrigoMelanie]

Trump’s kids buy into drone companies

Trump cancels existing drone contracts

Trump’s kids’ companies get military contracts

Trump starts wars

Trump’s kids’ try to sell their drones to the countries being attacked because of Trump’s wars

👉🏻 This is what corruption looks like.

[Noa 👾 @Noa_Liberator]

מישהו פשוט העלה את כל מריו גלקסי לטוויטר

[Michael Millerman @millerman]

Sorry, but I had to...

https://t.co/45MjP0HdmP

[Sovey @SoveyX]

AI is gonna take your job and your girl.

[~Jachnun Supremacist~ נפתלי בן מתתיהו @JachnunEmpire]

I just realized that Israelis have been reviewing bomb shelters and it’s amazing 😂

[Sharpa @SharpaRobotics]

We believe we’re the first robotics company to demonstrate a robot peeling an apple with dual dexterous human-like hands. This breakthrough closes a key gap in robotics, achieving bimanual, contact-rich manipulation and moving far beyond the limits of simple grippers. 🧵↓

Today’s AI models (VLMs) are excellent at perception but struggle with action. Controlling high-degree-of-freedom hands for tasks like this is incredibly complex, and precise finger-level teleoperation is nearly impossible for humans. Our first step was a shared-autonomy system: rather than controlling every finger, the operator triggers pre-learned skills like a “rotate apple or tennis ball” primitive via a keyboard press or pedal. This makes scalable data collection and RL training possible.

How does the AI manage this? We created "MoDE-VLA" (Mixture of Dexterous Experts). It fuses vision, language, force, and touch data by using a team of specialist "experts," making control in high-dimensional spaces stable and effective. The combination of these two innovations allows for seamless, contact-rich manipulation. The human provides high-level guidance, and the robot executes the complex in-hand coordination required.

This work paves the way for robots that can safely handle delicate tasks in human environments. Want the full technical details?

📄 Read the full research paper: https://t.co/glyL5vqfW2

Visit us at NVIDIA GTC Booth #1838, Hall 3 to learn more!

#Robotics #AI #DexterousManipulation #VLA #NVIDIAGTC @nvdia @nvidiagtc

[Brett Adcock @adcock_brett]

Today, Figure is showing another major milestone towards a robot in every home

Running Helix 02, cleaning a living room fully autonomously

[Danny Driess @DannyDriess]

Many real-world tasks require memory to be successful. Yet, most robots don’t have any form of memory. Today, we are going to change that. We developed a system called MEM that introduces memory into VLAs on multiple scales

[James Jackson @derJamesJackson]

You can now bet on German train delays

[trash jones @jzux]

praying to god is low key embarrassing. girl if He wanted to He would

[Ethan Mollick @emollick]

A useful thing about MoltBook is that it provides a visceral sense of how weird a "take-off" scenario might look if one happened for real

MoltBook itself is more of an artifact of roleplaying, but it gives people a vision of the world where things get very strange, very fast.

[vas @vasuman]

New requirement to get into MoltBook

[Jesus Freakin Congress @TheJFreakinC]

🚨Renee Good’s autopsy confirms she was murdered by an ICE agent.

And, an FBI agent, along with SIX federal prosecutors, resigned rather than help cover it up.

The first shot hit her arm.
The second shot hit her right lung.
The third, and fatal shot, entered her left temple and exited the right side of her head.

By the second and third shots, the ICE agent was undeniably on the side of the car... clear of any “danger.”

And after firing the final shot into her head… the agent’s response was…

“fucking bitch.”

Jonathan Ross murdered Renee Good.

And the murder hasn’t even been removed from duty.