Abhi Perala

[Abhi Perala @akperala]

This guy’s onto something

[Harish Ashok @habril27]

we're so excited to finally share what we've been cooking at Markov.

over the past few months we've put out some amazing open-source datasets and worked with frontier labs.

this is just the beginning, stay tuned :)

[Abhi Perala @akperala]

@niralkathak 🎉

[Abhi Perala @akperala]

Taking Hyderabad by storm ⚡️

[Niral Uprit @niralkathak]

How often do you see a startup founder do a kathak performance?

If you’re in HYDERABAD, dont miss this one ;))
Registration link in the comments!

[Abhi Perala @akperala]

@thefoundingco_ @manojreddyralla Ralla!

[Abhi Perala @akperala]

Not a regular story, @manojreddyralla 🙌

[The Founding Co. @thefoundingco_]

$100k debt, cleared in 3 years.
Built at DrinkPrime. Saw the industry accept mediocrity.
Left. Started Ralla.

Now building a product that’ll outlive him.
This is @manojreddyralla

[Abhi Perala @akperala]

Great play by deepmind

[Ashwith Basani @BasaniAshwath]

Google DeepMind announced one robotics release this week. Read past the headline and it's four separate businesses wearing one name: a model driving an entire humanoid body for the first time, a planner coordinating more than one robot at once, an offline version that learns a new robot body in hours, and a safety test that checks the other three before they act.

Each of those sits in a different slice of the technology stack, and none of them belongs to just one industry, which is exactly the skill this field rewards: knowing which slice, which industry.

The full article's in the reply below this post, it maps out exactly how companies like Komatsu, Figure, and two dozen others actually divide, layer by layer, domain by domain.

Try it on a company you know: what's holding it back, capital, certification, or supply chain? Reply with your guess. The actual argument, worked through properly with the numbers, is in the reply below this post.

[Abhi Perala @akperala]

@BasaniAshwath Awesome!!

[Abhi Perala @akperala]

@CaptVenk @thefoundingco_ @prithvireddy_dr Best pitch award

[Abhi Perala @akperala]

@physical_int this is somethine crazy

[Ashwith Basani @BasaniAshwath]

A driverless mining truck has hauled billions of tons of rock for years, quietly profitable. A humanoid robot that costs far more still can't say what it costs to finish one task.

Here's one reason why. Get a single action right 95% of the time, which sounds pretty good. String a hundred of them together, the kind of sequence in something as basic as unloading a dishwasher, reach, grasp, lift, place, again and again, and the odds of the whole job going right fall to about 1 in 170. To actually pull it off nine times out of ten, every single action needs to succeed something like 99.9% of the time. Almost nothing in robotics is measured against that number today.

That's one of three costs that show up the moment a machine has to act in the real world instead of on a screen. Wrote up the other two, with the numbers and the sources, in the article below.

[The Residency - Bangalore House @residencyBLR]

something's cooking.
more soon.

[Abhi Perala @akperala]

@residencyBLR We are sooo on🚀

[Abhi Perala @akperala]

@Coffeeprenuer Learned it the hard way?😂

[Abhi Perala @akperala]

Looking forward to it

[launchd @thelaunchd]

Bangalore ✅
Hyderabad next.

Incredible to see builders go from first experiments to working demos in just a few hours. Hyderabad, we’re coming next.

thanks @reactorworld for powering it.
This is just the beginning. 🚀

[Abhi Perala @akperala]

@thefoundingco_ @RajalingamVivek lessgoooo 🚀

[Abhi Perala @akperala]

introducing Ziti bhai 🙌

[The Founding Co. @thefoundingco_]

Meet Vivek,

Started earning at 10.
Quit a ₹50 LPA career.
Lost $45K on his first startup.

The kind of founder story that doesn’t get told enough. Find AI that turns caterer enquiries into booked events with Ziti.

@RajalingamVivek

[Abhi Perala @akperala]

@Coffeeprenuer @prithvireddy_dr Your next 1:1 will be insane

[Abhi Perala @akperala]

@thefoundingco_ Ziti bhai’s story is crazy

[Abhi Perala @akperala]

@RajalingamVivek Looking cool

[Abhi Perala @akperala]

🙌

[Manan Gupta @yoitsmanan]

Introducing Neutrino-1: a new state of the art in intelligence per byte.

An 8-billion-parameter model that downloads in 2.56 GB,smaller than most 1B models, and runs on a MacBook, a desktop CPU, or a datacenter GPU from one artifact.

Open weights, Apache 2.0, today.

@fermion_ai

[Abhi Perala @akperala]

@yoitsmanan I don’t get it, but @yoitsmanan is my goat