AtmostFear

🎮 Shaping vibrant communities and driving growth for @KGeN_IO & @humynlabs
Let's build together.

[Humyn Labs @humynlabs]

A Physical AI model's output is only as good as its input, and most off-the-shelf cameras lose the signals Physical AI needs most at capture, before any pipeline can fix them. Fast hand motion warps. Head motion leaks into hand pose. Depth drifts as cameras shift.

You can't fix any of it downstream. A high-quality training data pipeline needs hardware you control.

Hence, introducing Humyn egoS1: our own stereo capture hardware, built to a capture standard the pipeline doesn't have to repair 🧵

[AtmostFear @AtmostF]

@GUJJUIIXI @AxieInfinity

[AtmostFear @AtmostF]

@donaldjewkes Plot twist: the unattended candy bowl is the real frontier model. 0.801, zero compute, never drops a Kit Kat.

[AtmostFear @AtmostF]

@ishank20 Agreed. And this is just quality and eval spend on data that already exists. Physical AI has to pay to create it first.

[AtmostFear @AtmostF]

@ishank20 Egocentric hand tracking in the wild is still unsolved, which makes this the right room for it.
Limited slots, so researchers in Bengaluru, apply now! 🙌

[AtmostFear @AtmostF]

Five years ago, most robots couldn’t handle a cup moved two inches.

Now some can clean a kitchen they’ve never seen.

Here’s the technology that changed it, explained without jargon 👇 https://t.co/YZJAYfVVZu

[AtmostFear @AtmostF]

@henrikbennetsen

[AtmostFear @AtmostF]

@humynlabs The comparison of two models with 500 demos each says it all: diversity matters more than volume.

[AtmostFear @AtmostF]

@ishank20 Exactly this. Quality has to be built in, not checked in.

[AtmostFear @AtmostF]

@KGeN_IO New milestone achieved!🔥

[AtmostFear @AtmostF]

@bwenews

[AtmostFear @AtmostF]

@SabyaYeNo @MJCryptoBD Now the real building starts !

[Abstract @AbstractChain]

https://t.co/0F6yDmUPe5

[AtmostFear @AtmostF]

@AroraBhavyam @token2049 TOKEN

[AtmostFear @AtmostF]

@baseposting @KGeN_IO Verified human data on Base. no bots, just real contributors. LFG 🔥 @KGeN_IO

[AtmostFear @AtmostF]

@ishank20 @humynlabs @manishdiesel @onear Yes the hardest part of voice AI isn't the tech, it's the messiness of how humans actually speak.
BRIDGE ASR finally tests for that.🔥

[AtmostFear @AtmostF]

@humynlabs The hearing layer of Physical AI just got its benchmark moment. 🔊

[AtmostFear @AtmostF]

Every day at @KGeN_IO I'm reminded why this matters.
Millions of contributors whose reliability is proven but invisible. We're making that reputation visible, persistent, and valuable. This is the human layer frontier AI needs.

[KGeN Foundation 🟩 @KGeN_IO]

https://t.co/ihJKT5kKJ7

[Humyn Labs @humynlabs]

We're Humyn Labs. With us, every robot works fine.

We turn human experience into robot skills built from thousands of hours of model-ready data.

Unlike LLMs, that learnt from the entire internet, robotics data doesn't get that shortcut.

Robots need real-world experience to learn how to:
- Iron clothes with a toddler underfoot and a dog at your heels
- Restock shelves while navigating a crowded, constantly changing store
- Assemble components amid the variability of a real factory floor

That experience happens once, in the physical world, and disappears.

We’re building the data platform Physical AI learns from: four sensory modalities, real-world environments, and the human experience needed to turn moments into skills.