Nag Murty

offline, building.

Founder/CEO at @sheeprobotics.

Was co-founder/CTO @EmbraceInnov where i built tech that has saved 700,000+ lives till date.

[Robert Scoble @Scobleizer]

A difference in company philosophy:

@neuralink: put wires on brain.

@CorticalLabs: grow brain on wires.

Cortical Labs just completely changed my dreams and nightmares.

Here it is in Hon Weng’s hotel room. He is showing this off tomorrow at a brain conference in San Francisco.

You get a sneak peak tonight.

[Nag Murty @MurtyNag]

someone please start a sirius cybernetics corp so we can get robots with GPPs.

[Eugene Vinitsky 🦋 @EugeneVinitsky]

We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data.
It is SOTA on every planning benchmark we tried.
In self-play, it goes 20 years between collisions.

[Jason Carman @jasonjoyride]

Tomorrow we're finally unveiling our company, it's what I've wanted to build since I was 9.

Until then, here's a thread of my favorite tweets from the premiere/movie today — for memories :)

[Garry Tan @garrytan]

"Robotics companies now are where LLM companies were five years ago. Sometimes in the next five years we will see the ChatGPT moment for robots." —@bobmcgrewai

[Jim Fan @DrJimFan]

those who think RL use less compute don’t know RL at all 😅
SFT: human generates data and machine learns
RL: machine generates data and machine learns

[Dylan Patel @dylan522p]

Deepseek V3 and R1 discourse boils down to this. Shifting the curve means you build more and scale more dummies

[T.Yamazaki @ZappyZappy7]

タコにヒントを得た対数螺旋型マニピュレータ
多種多様な物体を扱うことができる
https://t.co/VykHlR4yfo

#manipulator #gripper #RoboticHand #biorobotics #biomimicry #バイオミミクリー #生物模倣 #octopus #SpiRobs

[Jostein Hauge @haugejostein]

This is a brilliant chart of China's tech-industrial ecosystems, by Kyle Chan.

Most of us economists don't understand that clusters of technological capabilities cut across our categories of 'sectors' and 'industries'.

This chart gets that across in a fantastic way.

[Nag Murty @MurtyNag]

@Scobleizer its for RL at scale. the holy grail is robust reasoning, not knowledge.

[Nag Murty @MurtyNag]

@chris_j_paxton agree its awesome. Its just how capital expectations have been conditioned by the speed and ease with which information startups scale. Bit seems to be more lucrative than It.

[Nag Murty @MurtyNag]

the curse of robotics is that capital expects a Google, but physics allows a Waymo.

[Nag Murty @MurtyNag]

this is so cool!

[Shuran Song @SongShuran]

Still deciding where to place the robot camera? 🤔
Why not everywhere?! 👀

Meet RoboPanoptes – the All-Seeing Robot with Whole-Body Dexterity! 🤖✨

With 21 cameras 📷distributed across its body, RoboPanoptes sees and operates from every angle.

And yes, its name is inspired by Argos Panoptes, the many-eyed giant of Greek mythology! 👁️ 😉

[Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) @rao2z]

IMHO, the problem with all the various "LLM Agents" writeups/tutorials floating about is that they all think agency can be defined in a hand-wavy fashion without the nitty gritty of actions, state, environment, models, planning, execution etc. Unfortunately it doesn't quite work.

[Nag Murty @MurtyNag]

over the coming decades - humanoid robots are going to age in reverse.

they’re like frail geriatrics today - but over time should become nimbler and faster.

[Nag Murty @MurtyNag]

human brains are capable of forgetting just as quickly as they learn.

Is this is a feature, and not a bug?

[Nag Murty @MurtyNag]

respectfully disagree - I think we're confusing capability with robustness. This makes for impressive demos but doesn't solve for product.

Current VLM approaches can show great generalisation - but robotics is a problem of robustness/ high 9s reliability, done using low latency, high efficiency compute.

And unlike software agents - you cannot "human in the loop" robotics to the same extent to backstop false positives.

[Nag Murty @MurtyNag]

https://t.co/do8mwr2ytT