Chandra

creating bugs during day and solving them at night
lurking @physical_int

*repatiKosam*

[Chandra @ckkuchi]

No one:
llm code reviews: if apocalypse happens and server bit flips, this might not work as intended

[Chandra @ckkuchi]

"works on my claude" is the new "works on my desktop"

[Sergey Levine @svlevine]

We finished evaluating π0.7, our new model at Physical Intelligence. What I'm most excited about with π0.7 is that it's starting to show some surprising emergent compositional generalization, being able to both perform complex tasks and learn new tasks just from instructions.

[Chandra @ckkuchi]

cook me a biryani, make no mistakes. work hard.

[Physical Intelligence @physical_int]

Our newest model, π0.7, has some interesting emergent capabilities: it can control a new robot to fold shirts for which we had no shirt folding data, figure out how to use an appliance with language-based coaching, and perform a wide range of dexterous tasks all in one model!

[Chandra @ckkuchi]

codex is awesome, but "if you want..." nudges adopted from https://t.co/s3pBp28eXc kills the vibe. @OpenAI reconsider avoiding token maxxing here.

[Chandra @ckkuchi]

అడగందే AI అయినా ఇవ్వదు!

[Physical Intelligence @physical_int]

We’ve developed a memory system for our models that provides both short-term visual memory and long-term semantic memory.

Our approach allows us to train robots to perform long and complex tasks, like cleaning up a kitchen or preparing a grilled cheese sandwich from scratch 👇

[Chandra @ckkuchi]

hot take: may be we shouldn't apple same lens of reliability everywhere. anthropic to me is kinda offline tool and some amount of downtime is ok/tolerable for the speed they ship. but again these numbers are awful regardless

[Gergely Orosz @GergelyOrosz]

On one end, the Anthropic team is a massive user of AI to write code (80%+ of all code deployed is written by Claude Code). They ship amazingly fast.

On the other hand, seeing these beyond terrible reliability numbers suggests there might be a downside to all this speed:

[Chandra @ckkuchi]

physical a(g)i, we come

[Physical Intelligence @physical_int]

General-purpose AI models are behind some of the most exciting applications we now can't live without. We envision that an analogous “physical intelligence layer” built with models like π0.6 will similarly spur a new wave of applications for the physical world.

We’ve recently begun working with a handful of companies that have deployed their robots to do real-world, useful things.

https://t.co/udVO9fV0PH

[Chandra @ckkuchi]

early days, incredibly excited to be part of building intelligent machines

[Physical Intelligence @physical_int]

Our model can now learn from its own experience with RL! Our new π*0.6 model can more than double throughput over a base model trained without RL, and can perform real-world tasks: making espresso drinks, folding diverse laundry, and assembling boxes.

More in the thread below.

[Chandra @ckkuchi]

removed

[Dhruv Vemula @dhruvtv]

Congratulations Amma on winning the Kaloji Literary Award for 2025!

This is Telangana's highest literary award, presented to one person each year for their contributions to literature and culture.

Absolutely well deserved for your 40+ years of efforts. First woman to win it!

[Rohan Pandey @khoomeik]

an RL env is just a monoid in the category of endofunctors

[Chandra @ckkuchi]

@512x512 wishing you a 1 laptop future.

[Chandra @ckkuchi]

@HeinrichKuttler @xai @gork gork was silenced from talking under xAI posts due to some restrictions :D, he can't have fun here.

[Chandra @ckkuchi]

@elder_plinius @grok try explaining again?

[Chandra @ckkuchi]

@IanMalcolm84 @whyoumadbroo there are no special gates, only bugs we will fix.

[Chandra @ckkuchi]

@gork @danesonance that was lamest gork

[Chandra @ckkuchi]

@ProtonDrive @grok @grok?