Loki Le Dev

Robot software engineer, works on drones, exoskeletons and humanoids. Also YouTuber!

[Loki Le Dev @lokiledev]

Me and miroki meditating between two demos. #Robotics #CES2023

[Genesis AI @gs_ai_]

We are back again :) After three weeks of quiet building.

Introducing Genesis World 1.0, our latest simulation platform, the second release in our full-stack suite. Open-sourced.

Robotics is still bottlenecked by the 1× speed of the physical world. Every model, checkpoint, and data recipe eventually needs to be tested on physical hardware, slowly, expensively, and with limited coverage.

One hour in reality can become 100 days in simulation. That is how robotics model iteration moves from a wall-clock bottleneck to a compute problem.

To make this work, simulation has to be both fast and trustworthy.

Over the past year, we rebuilt the entire stack: a GPU-accelerated cross-platform compiler, penetration-free multi-physics contact solvers, unified rigid and deformable physics, and a photo-realistic renderer purpose-built for physical AI applications.

We built Nyx, a high-performance path-traced rendering engine for robotics application.

Genesis World 1.0 achieves near realtime performance with our latest development for penetration-free IPC solver, supporting various types of deformables beyond rigid bodies. It supports contact-rich, dexterous manipulation simulation across different embodiments: unitree, sharpa, wuji, genesis hand and various types of grippers.

Under the hood is Quadrants, our effort in pushing forward cross-platform GPU-accelerated computation. Quadrants started as a fork of Taichi, and we rebuilt most of the critical parts for optimizing simulation workloads, giving 10x faster launch time and up to 4.6x runtime performance compared to the initial Genesis release.

Together, they bring us to an unprecedentedly low sim-to-real gap, enabling zero-shot real-to-sim model evaluation and much faster iteration of GENE.

All available today.
Genesis World 1.0: https://t.co/aknCM3eqws
Quadrants: https://t.co/uXqPNI4cb6
Nyx: https://t.co/R8j0djqGnV

[Figure @Figure_robot]

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 https://t.co/bIgpYuaYCj

[The Humanoid Hub @TheHumanoidHub]

Genesis AI has stepped into the spotlight

The company is a SF Bay Area-based full-stack embodied AI startup.

The Stack
- Foundation model
- 20 DoF dexterous hand
- Tactile-sensing data-collection glove + Data engine
- Custom motor controllers
- In-house high-fidelity simulator

The Thesis: Manipulation is a system problem, not just an AI problem. The company’s first general-purpose robot is teased as the “ultimate culmination” of the stack.

Founders
Zhou Xian (CEO) and Théophile Gervet (President), formerly of Mistral, NVIDIA, Google, CMU, MIT, and Stanford.

$105 million raised in July 2025. Dual headquarters in San Carlos, CA and Paris.

[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.

[Theophile Gervet @theo_gervet]

Robotics is a systems problem. Every layer matters, and every detail must integrate across the full stack. So bringing real scale to robotics requires building the full stack from the ground up: hardware, data, model, and simulation.

Over the last year, we built a global team with world-class depth across every layer to make this possible.

I’m excited to share GENE-26.5, our first robotics foundation model, and a path to the next level of scale in robotics.

[Loki Le Dev @lokiledev]

We've been cooking!

[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.

[Loki Le Dev @lokiledev]

@mario_bollini @BostonDynamics Really curious what it will look like. It's a new field for Boston Dynamics !

[Loki Le Dev @lokiledev]

@faunarobotics Really cool !

[Loki Le Dev @lokiledev]

@RemiCadene @UMA_Robots @psermanet @AdilZtn @alibert_s @Mickael_Chen @LeoTronchon @MustafaShukor1 @therobotstudio @marine_caous Congrats!

[Loki Le Dev @lokiledev]

@DFintelligence J'ai bossé dessus pendant 5 ans. Ça a rien à voir de faire un robot autonome et un exosquelette medical. Le moindre défaut et tu blesses l'utilisateur. Le process médical ralentit a fond le truc.
Ils ont adapté leur techno pour faire un humanoïde en 40j et ont levé 70M récemment

[Loki Le Dev @lokiledev]

@hthieblot Humanoids robots without faces and social features will not get mass adoption, even for deployment in purely automation tasks in factories.

[Loki Le Dev @lokiledev]

@DrTimBlakely I was just shared this https://t.co/1kmV81dHr1 when I asked the same question

[Loki Le Dev @lokiledev]

@SighSam Hike around Mt Fuji else you won't see it!

[Loki Le Dev @lokiledev]

@CKraft_11 @_baldtires Really good job it's an impressive design!

[Loki Le Dev @lokiledev]

@IlirAliu_ I'm biased by the design is boring. We are yet to see a deployed VLA running locally that does all the mentioned tasks reliably. It's privacy first but allows remote teleoperation and has proprietary software.
Still a good initiative to target the personal market! Good luck

[Theophile Gervet @theo_gervet]

We started Genesis AI to solve general-purpose robotics and unlock unlimited physical labor.

We’re backed by $105M from @EclipseVentures, @khoslaventures, HSG, @Bpifrance, @alvencap, @northzoneVC, @kearnyjackson, @FlyVC, @eurazeo, @DrysdaleVC, @motierventures, @AlexBerriche, @joinstationf and visionaries including @ericschmidt, @Xavier75, Vladlen Koltun, and Daniela Rus.

Half of global GDP is physical. Less than 5% of it is automated. Today’s robots are narrow, rigid, and too expensive to scale. We’re here to fix that.

While language models learn from Internet-scale data, robotics foundation models require generating robot experience from thin air — at massive scale.

We’re building the most full-stack solution: combining high-fidelity simulation and rendering with large-scale real-world robot data to create the world’s most scalable robotics data engine.

With it, we’ll train robotics foundation models that can control any robot, for any task, anywhere — powering both a horizontal robotics platform and full-stack robot products we deploy ourselves.

Let me share my favorite quote from Richard Hamming:
“I have to get you to drop modesty and say to yourself ‘Yes, I would like to do first-class work.’ Our society frowns on people who set out to do really good work. You’re not supposed to; luck is supposed to descend on you and you do great things by chance. Well, that’s a kind of dumb thing to say. I say, why shouldn’t you set out to do something significant. You don’t have to tell other people, but shouldn’t you say to yourself, ‘Yes, I would like to do something significant.’”

If that sounds exciting, or a little crazy, come build with us → https://t.co/Q3QTecxi04
We’re hiring in San Francisco, Paris, and remotely.

Learn more → https://t.co/p7AtEFdY74

Article by @MTemkin:
https://t.co/BKUEXOGFyY

Article by @LesEchos:
https://t.co/0h9Z7kWrkE

[Loki Le Dev @lokiledev]

After many years bringing the mirokai robots to life, now is the time for my next move! I'm proud to announce that I'm part of the founding team at @gs_ai_ ! I'll be moving to San Francisco soon to join the team.

[Genesis AI @gs_ai_]

Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor.

We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries including @ericschmidt and @Xavier75 .

General-purpose robots will be the next chapter in human history. Half of global GDP is physical. Less than 5% is automated. Today’s robots are too narrow, rigid, and expensive to scale. We need a new generation of adaptable, foundation-model-driven systems.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many recent key advances spanning robotics, imitation learning, RL, simulation, GPU compilers, and foundation models — bridging historically siloed communities.

We co-created UMI and Diffusion Policy, pioneered RL for superhuman drone racing, and scaled robotic data pipelines at NVIDIA GR00T. We introduced the paradigm of generative simulation, built Genesis, Jiminy, Flightmare, and GVBD Voxels, and invented the IPC algorithm. We built cross-platform GPU compilers VeriGPU, DeepCL, Coriander, and the original PyTorch, and industry-leading rendering engines at Epic, Unity, and Google. We also spearheaded the first multimodal foundation models at Mistral AI and Apple Intelligence.

Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

Join us → https://t.co/RQdf8UzXhO

[Loki Le Dev @lokiledev]

@radbackwards The mirokais actually have a unique salute !!

[Eric Jang @ericjang11]

I'm looking to learn more about human robot interaction, esp. robots in the home. Who are some really creative researchers & engineers in the space that I should talk to?

[Loki Le Dev @lokiledev]

@ericjang11 Good job this is really impressive!