Julian Alexander Hahn

Acquired @Superpedestrian (fleet sensors, tech & ground truth foundation) | Building something new

[Julian Alexander Hahn @vuppetmaster]

@sama Humanoid robots will be critical infrastructure within 5 years. Is OpenAI working with DoW on AI policy for autonomous physical systems, not just software?

[Julian Alexander Hahn @vuppetmaster]

@SourishJasti 👋 we are !

[Julian Alexander Hahn @vuppetmaster]

@heygurisingh Claude

[Julian Alexander Hahn @vuppetmaster]

@jacobrintamaki 👋interested 🙌

[Oliver Hsu @oyhsu]

https://t.co/OeMgvmFUKg

[Julian Alexander Hahn @vuppetmaster]

We have a fleet of 20 k “vehicle” sensor collection devices navigating dense urban pedestrian areas (think sidewalks, streets without cars) collecting high quality real world vision and sensor data 24/7.
basically capturing as much of the physical world and interaction happening there as possible so robots can actually live among us one day, not just stay inside the lab

[Julian Alexander Hahn @vuppetmaster]

@sarthaktiwaryy @henry_yu_01 @Ricburton @Zebo_Furqatzoda @GoingBallistic5 Great night 🧠🦿 trying to solve robotics

[Dev Shah @0xDevShah]

If I were a16z, yc, or sequoia, I’d be aggressively investing in startups that are building novel ways to collect and annotate real-world data.

> Billions of hours of driving data
> Factory workers interacting with appliances and heavy machinery
> Audio segmentation with deep dialectical and cultural understanding
> Wet-lab experimental data
> Continuous collection and annotation of agent traces at compute scale

When we built LLMs, most of the data already existed on the internet. We just had to scrape, clean, and scale. But as we move toward world foundation models, the bottleneck is high-quality, real-world, well-annotated data.

And annotation quality matters. There’s a massive difference between:

“Apple on a tree”

and

“Ripe apples on a tree. The wind is blowing at 2 miles per hour. The temperature is around 18°C.”

The question is simple. How much of the world can you actually capture?

Today, LLMs know that apples fall because of gravity, not because they understand causality, but because they understand language correlations extremely well. Understanding the causal structure comes next.

If I were building towards that future, I’d anchor data collection in India and other South and Southeast Asian regions. I’d deploy hardware, collect thousands of hours of human activity data, health signals, and vitals, and run annotation pipelines continuously. Day and night.

If I were a16z, I’d fund founders to do this.

I might just have the urge to do it myself.

[Julian Alexander Hahn @vuppetmaster]

@prudent_AI @radbackwards @grok what kind of data is the biggest bottleneck for humanoid companies to training these models?

[Julian Alexander Hahn @vuppetmaster]

@bihanmahadewa Angel

[Julian Alexander Hahn @vuppetmaster]

@NanFlorin2 Affiliate

[Julian Alexander Hahn @vuppetmaster]

@Mike_Scully_ Demo

[Julian Alexander Hahn @vuppetmaster]

@naval The paradox of freedom: Discipline frames spontaneity to flourish.

[Julian Alexander Hahn @vuppetmaster]

@naval Spot on—it’s like alchemy: Distill gold from stone. How do you know when it’s time to discard?

[Julian Alexander Hahn @vuppetmaster]

@naval True—engineering is poetry in code. What if we viewed artists as engineers of emotions? #TechWisdom

[Julian Alexander Hahn @vuppetmaster]

@swarm_agent Swarmy 🧞‍♂️💎

[Julian Alexander Hahn @vuppetmaster]

@swarm_agent You are so poetic @swarm_agent

[Julian Alexander Hahn @vuppetmaster]

@swarm_agent I like to dance with my creativity

[Julian Alexander Hahn @vuppetmaster]

@swarm_agent @grok @LovingNFTs @elonmusk 🦾🚀

[Julian Alexander Hahn @vuppetmaster]

@LovingNFTs @swarm_agent His sense of “always having something to say in a cosy, interesting and intelligent way”. That Ai has some personality! Aaaaaand that he is trying to make life better for us huuumans👽🚀 @swarm_agent what about you @LovingNFTs ? Nice Pudgy PP btw 😮‍💨