Pally Kumar

Head of Operations, Genesis AI. Scaling data and manufacturing for general-purpose robotics. Prior: Tesla, Amazon, Lyft Level 5.

[Pally Kumar @PallyKumar85]

Today I'm joining @gs_ai_ as Head of Operations.

Data is what makes a general-purpose robot possible. Manufacturing is what makes it real. My job is the operating system that scales both, in lockstep.

[Charly Mwangi @charlythuo]

@gs_ai_ is back after 3 weeks! This time introducing Genesis World 1.0, their hyper-realistic simulation platform, which is a key part of their full-stack suite.

[Pally Kumar @PallyKumar85]

A week ago I introduced myself as Genesis AI's Head of Operations. The welcome from this community blew me away. Thank you.

I went quiet because the team was shipping.

Today: Genesis World 1.0. Our simulation, rendering, and compiler stack. Rebuilt from the ground up. Second release in our full-stack suite. Open-sourced.

Robotics has been bottlenecked by the 1x speed of the physical world. Every model checkpoint, every data recipe, eventually had to be tested on real hardware. Slow, expensive, low coverage.

Genesis World 1.0 turns that wall-clock bottleneck into a compute problem. One hour of real-world experiment becomes 100 days of simulation. 89% correlation with on-hardware rollouts.

My charter is the operating system that scales data collection and manufacturing in lockstep. Simulation is the third leg of that stack. It compresses the data side so evaluation, post-training, and ablations run at compute speed instead of operator speed. It compresses the manufacturing side so digital twins of robots and workspaces can be validated before anything gets physically built.

The digital world and the physical world meet in simulation. That is where our worlds connect.

We are not done.

More soon.

[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

[Vinod Khosla @vkhosla]

A lot of creativity going on in robotics. Cool hands.

[Charly Mwangi @charlythuo]

Physical AI is entering a new era.

Super excited to see @gs_ai_ unveil GENE-26.5 - a major step toward general-purpose robotics and human-level capability.

What makes this team unique is that they are rebuilding the entire stack from the ground up:

- A robotics-native foundation model.
- A 1:1 robotic hand with human-like dexterity
- most scalable, capable and least intrusive data collection glove for motion, force, and touch.
- A high fidelity simulator that accelerates experimentation

At @EclipseVentures, we believe the biggest AI opportunity ahead is bringing intelligence into the physical world.

Proud to be partnering with the @gs_ai_ team - @zhou_xian_ & @theo_gervet - as they push the frontier of physical AI and embodied intelligence forward.

The future of robotics will not be narrow and task-specific. It will be general-purpose, adaptive, robust and scalable.

And this is only the beginning.

#PhysicalAI #Robotics #EmbodiedAI #AI #Automation

[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.

[Pally Kumar @PallyKumar85]

@sendilpalani Thank you, @sendilpalani . I came to the Bay Area because of your connection, and that decision shaped my career. Being part of Tesla’s journey from one factory to three was unforgettable. You were a trusted partner through it all. Onward to the next chapter.

[Pally Kumar @PallyKumar85]

@FrunkToTrunk Get 3 months of Full Self-Driving (Supervised) or up to $1,000 off with my referral link. https://t.co/cZOXZSGhkY

[Pally Kumar @PallyKumar85]

@SawyerMerritt https://t.co/cZOXZSGhkY

[Elon Musk @elonmusk]

Precisely

[Drew Baglino @baglino]

mid-way into the video, @larsmoravy and @woodhaus2 deliver the deets

[Tesla @Tesla]

Cybertruck Delivery Event https://t.co/rWd111HvHc

[Pally Kumar @PallyKumar85]

Shoutout to @AlaskaAir 3398 and the crew from @flySFO to @flyLAXairport . Unprovoked they announced “we have this really good looking gentleman who is heading to @guadalajara . Do you mind if as soon as we get to the gate you let him try to make this connection”. I made my flight

[CNBC Tech @CNBCtech]

Take a peek inside Lyft's lab where 400 engineers are working on self-driving cars https://t.co/jf8fDUWpuq

[Aaron Levie @levie]

Almost everything I've learned about startups:

* Aim to get to cash flow positive early
* Don't overly optimize for private market valuations
* Build a great team and culture
* Make sure the business model *works*
* Focus, focus, focus. Dilution of effort will crush you

[Marques Brownlee @MKBHD]

Ok well played @elonmusk @Tesla

[InsideEVs @InsideEVs]

What’s It Like To Live In A Tesla Model X? Find Out Here
https://t.co/kkGBJuWZTC

[Stephen Curry @StephenCurry30]

Appreciate you helping us get better Riley! We got you. #MoreToCome

[Tesla @Tesla]

How Track Mode Works

[Tesla @Tesla]

Overhead views from a Model 3