Josh (@joshavata) / X

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Today @MeckaAI is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

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Excited to announce our $8M seed round led by @neo to further our work as the data layer for robotics Heres why we bet early on human data advancing autonomous robotics:

I spent months making this translation chat app just so my mom could talk to me like this

Replying to @joshavata

Thank you to our friends and investors including @ericjang11, @xiao_ted, @radbackwards, @animesh_garg, @suzannexie, @apartovi, @conconconling, @mrjasonchoi, @pythianism, @rajivpoc, @Rewkang, @alyriadefi, @svangel, @A_StarVC, @BennettSiegel, @kevinhartz, @offlineventures,

We made ~200 cookies today 🍪

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Replying to @joshavata

Read more from @alexrkonrad here

This Startup Wants To Record Your Chores To Train Robots Better

From upstartsmedia.com

Twitter crash course with @tobydoyhowell at @launchhouse Here’s a thread on best tips 👇🏻

(No, D) (No, D)

Western Ivey AEO 🎉✅✅

Replying to @joshavata

General-purpose robots will be the largest GDP impacting technology of our lifetime with a $42T injection of productive labor through humanoids and robots of many shapes and sizes! But robot models, among many other challenges, face a data issue

Replying to @joshavata

The inspiration for our name Mecka here are "mechas" from Japanese science fiction which are giant humanoid robots piloted by human fighters

Replying to @joshavata

The data soup in robotics is made up of many key ingredients, including tele-op, synthetic, and internet-scale data Across high-quality but slow teleoperation data with fast yet lower-quality synthetic simulations, we made a bet on human data, starting with egocentric videos

Replying to @joshavata

The naive common-sense hunch, along with wonderful research in the community, is that a humanoid and a human share a form factor The question was whether we could transfer the knowledge from less noisy human demonstrations in a POV video to a robot at large-scale

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