Subnets / SN72
StreetVision by NATIX SN72
StreetVision by NATIX (subnet 72) is a Bittensor subnet held by 1,611 unique coldkeys. Its liquidity pool holds 6.4k τ, with the alpha token trading at 0.0023 τ. Roughly 0% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 89% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for StreetVision by NATIX are available to SubnetStats subscribers.
ALPHA PRICE
0.0023 τ
IN TAO
HOLDERS
1,611
UNIQUE COLDKEYS
POOL DEPTH
6.4k τ
TAO IN POOL
7D MOMENTUM
-3.4%
ALPHA vs TAO
Project activity
World models are more than a hype word. 📈
The biggest companies are investing in a technology that can simulate the future for Physical AI.
And beneath it all sits real-world data that keeps World Models grounded in reality. https://t.co/2CmKldvLLV
From driving footage to simulated scenarios, that's the promise of World Models.
This allows autonomous vehicles to commit to any action, and the scene evolves as it would in the real world. 🌐
That is exactly what VATIX 9B, a world model built by Valeo using NATIX data, does. h
World Models can take one scene and create endless possible futures.
That is extremely valuable for the training, testing, and validation of autonomous driving systems.
Data goes in. Intelligence comes out. https://t.co/tKoudJ9RdR
Hand-built simulations teach a vehicle how to drive according to pre-written laws.
World Models teach autonomous driving how to analyze, anticipate, and react.
This is how autonomy scales 📈 https://t.co/gpHLsNDbxK
August Progress Update is here:
📹>196K Hours of Multi-Camera Footage
💹>8.4B $NATIX Staked
🤖How autonomous driving data helps robotics
🔄The difference between a dataset and a data engine
Full recap👇
https://t.co/TIHcHXPAOl https://t.co/otZoSAMtFZ
How far can 5,500 hours of real-world driving data take you?
All the way to VATIX, a new open-source, state-of-the-art world model for driving video generation. 🚗
The first major result from the NATIX × @Valeo_Group collaboration is here! https://t.co/gKldF0yg72
Most open-source data available for Physical AI teams is front-facing video footage.
In reality, things come from all sides, not just from the front. That's what front-facing footage misses. ❌
NATIX datasets include multi-camera views, so autonomy can see everything🔄 https://t.
Data is a magic word that is used a lot, as if it can solve all the problems in the world.
But data gets old, and the datasets that come with it are often out of date.
A data engine keeps the data fresh and constantly updated. That's the NATIX way 💪 https://t.co/vgHLKTejbg
If you let an AI try to imagine how a vehicle would behave in real life, it would start hallucinating real fast. 😵💫
That's what the real-world data collected by NATIX can prevent.
Real roads = Simulations based on real life. 🌎 https://t.co/eNUVAmVROz
World Models don't just replicate a scenario, they take one scene and can simulate every possible outcome. 🤖
However, for a World Model to do that successfully, it needs real-world data to learn from, so the outputs are grounded in reality.
It all starts with quality data 🌐 htt
Physical AI means more than just autonomous driving.
Robots will become a big part of our future, and the real-world data we collect at NATIX is no less important for their training.
If you wish to read more about it, we've got you covered 👇
https://t.co/Iq1bgxI8Xb
Our July Progress Update just dropped:
📹>190K Hours of Multi-Camera Footage
💹>7.3B $NATIX Staked
🌐Orbis 2 unveiled: 2nd World Model powered by NATIX data
📂Two multi-cam datasets open-sourced on @huggingface
🔥Why World Models are hot right now
Full recap👇
https://t.co/F24fSZVSf
Orbis 2, a leading World Model built primarily on NATIX data, outperformed several other world-leading models, despite being smaller and trained on less data.
If that's not a sign that quality, real-world data makes a difference, we're not sure what would convince you. https://t
If you had to teach an autonomous vehicle how to drive somewhere, would you rather show it hours of footage of real-world driving, or an F1 driver doing 1 lap around the track?
Non-expert driver data shows Physical AI exactly why driving in the real world is messy. https://t.co/
Driving in North America is not the same as driving in Europe or Japan.
Different geographies mean different roads, driving cultures, and street signs.
Without collecting data from all of these places, autonomous cars can't be taught how to drive there. https://t.co/upKTAlNRDt
LLMs taught AI how to understand language. World Models teach AI how to understand physics.
For autonomous vehicles and robots, which have to navigate through the physical world, that makes all the difference, and NATIX provides the data layer for that. https://t.co/gde0wPb1qe
Our special broadcast, featuring a deep-dive into how we’re building Orbis 2, is coming soon!
⌛️Starting in less than 2 hours ⌛️
We expect to see you there if you care about the future of Physical AI 👇
https://t.co/QDj1w7gNfb
An autonomous vehicle trained on expert driver data learns how to make one maneuver.
An autonomous vehicle trained on non-expert driver data learns from the mistakes that reflect the real world.
The second matters more than you think, and NATIX provides exactly that. https://t.
Turning thousands of hours of real-world driving data into a world model requires more than scale, it requires the right architecture.
Join CEO @AlirezaGhods2 for a deep dive on how we’re building Orbis 2.
📅 July 29th | 5PM CET 📅
Don't miss it👇
https://t.co/OgNNj1uxMv
You collected data. Congrats. Now, how do you find the moments in your footage that matter?
Edge cases are rare for a reason, and finding them in hours of video data is just as hard.
Using advanced algorithms, NATIX finds the moments that really put autonomy to the test. https:
Collecting data in one city means building autonomy in one city. That's not scalable.
NATIX collects multi-camera data across multiple regions to support development worldwide at once.
That's how Physical AI scales. https://t.co/8GzxemniZ3
A vehicle approaches an intersection. What happens next?
World Models like Orbis 2, powered by NATIX data, can simulate any future possibility.
That's how autonomy reaches the next level. https://t.co/fGB30MZ2EA
📰 We're in the news.
@automotiveworld just covered Orbis 2!
The first hierarchical world model from the University of Freiburg, trained on NATIX's decentralized real-world data - the largest single source ever provided.
Find out more 👇
https://t.co/v8ta8DAXkN
Maybe not everyone can collect real-world data at scale, but even if they could, it's not enough.
Raw data is a starting point. From there, it has to undergo many processes to be useful.
We offer both raw and structured data to support all kinds of Physical AI development. http
Another major milestone for NATIX 🚀
Researchers at the University of Freiburg trained Orbis 2, a state-of-the-art driving World Model, using NATIX as the largest single data source.
Here's why that's a big deal 👇
https://t.co/yh2l5jqRpT https://t.co/RURQvo9RMO
SELLERS DRAINED
89%
28D SELLERS EMPTIED OUT
CAPITULATION
+0.31
BOUNCE COMPOSITE (z)
HEAT 7D
0.30×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
0%
TRACKED WALLETS · ENTRY BELOW PRICE
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