The world’s largest camera infrastructure for mapping, autonomous driving, and physical AI. Powered by @Solana.
Based in Germany
- Tweets 3,421
- Following 122
- Followers 136,821
- Likes 7,352
This.
The data pools built during the DePIN cycle are now becoming the bottleneck-breakers for Physical AI.
NATIX is already the dataset behind 6 open-source automotive world models. We just closed some of our biggest contracts yet. announcements coming soon.
The demand from AI labs is real. The revenue is real. The value accrual to the token is next.
gm @sjdedic
Unpopular opinion:
Former DePINs might be some of the most undervalued AI plays right now.
Yes, DePIN had a lot of issues, and hence a very underwhelming token performance. The negative association is definitely understandable.
But what most people don't realize is that thanks to those token incentives, most of these projects are now sitting on incredible data pools. Exactly the kind of data pools the biggest frontier AI labs have insatiable demand for, since data is their single biggest bottleneck in winning the most important tech race humanity has ever seen.
Just to name a few:
@silencioNetwork - $SLC
@OVRtheReality - $OVR
@NATIXNetwork - $NATIX
@grass - $GRASS
And probably a bunch of exciting ones I don't even have on my radar yet (if so, please DM).
I know in fact that these are already working with leading AI labs or well-known big tech companies as actual paying clients, generating serious offchain revenue. More than most of your favorite shitcoins do. And if you do your research, you'll understand that it takes time for that offchain revenue to accrue, but there's strong commitment to route it back to their tokens.
I know it's hard, but instead of chasing memecoins or bidding the same 5 hyped onchain businesses everyone already knows, I can only strongly recommend digging deeper here.
Generational opportunities to be found in DePIN, or whatever you might want to call it nowadays.
6
10
58
3,495
The next bottleneck in autonomous driving isn't a smarter model. It's the data 🔍
Reasoning models need to learn why, not just what.
Read all about how reasoning is the next layer of autonomous driving 👇
natix.network/blog/reasoning…
2
15
55
3,323
🚀 Preparing to submit our request to CoinGecko for NATIX Network!
🔗 GeckoTerminal URL: coingecko.com/en/coins/natix…
Discord contact: discord.com/invite/natix-net…
5
15
69
4,485
World Models are considered the next evolution of AI after LLMs.
Teaching machines how the world feels, operates, and evolves in the physical realm is harder than teaching language, but that's what we do.
With driving video data captured by our network of drivers. 🚗
3
9
60
4,132
Valeo researchers took 5,500 hours of NATIX driving data and tested what the best recipe is for building a World Model.
After over 200 models were trained, VATIX 9B's results were astounding.
Can you tell which videos are real and which were generated by VATIX? 🤭
1
15
53
4,450
There is no lack of data in the world. There is a lack of open data collection methods.
NATIX solves that problem, so Physical AI innovation can move forward. ⏩
That's the promise of Decentralized Physical AI 💪
1
16
53
4,569
5/
The first release includes 5 safety-critical events across 10 U.S. states.
Just like our previous datasets, we’re making it openly available for researchers & open-source teams.
Read more about what makes this dataset unique 👇
natix.network/blog/natix-saf…
1
13
528
4/
Telemetry and VLMs are complementary.
Telemetry can flag the exact moment a harsh brake happens. A VLM can then analyze those few seconds of footage to explain why.
Vehicle telemetry finds the event. Visual AI explains it. 🤝
1
11
602
3/
But telemetry gives us another powerful capability: finding the long tail. 🔍
We can analyze vehicle signals to automatically identify moments like harsh braking, harsh acceleration, sharp turns & aggressive driving patterns across large amounts of driving data.
1
21
590
2/
Why does that matter?
World Models and end-to-end driving models need more than video.
Wheel angle, pedal position, vehicle speed & automotive-grade GPS let models learn not only what happened on the road, but also the vehicle's precise actions.
1
1
27
1,426
Our 3rd open-source driving dataset is live on @huggingface! 🚗
This time, we’re adding a new layer to NATIX data: vehicle telemetry.
Real-world multi-camera footage, now paired with precise signals showing what the vehicle was actually doing.
62
22
245
120,738
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.
1
6
52
4,060
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.
7
34
4,433
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.
1
5
34
3,700
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 📈
9
39
4,741
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👇
natix.network/blog/natix-net…
2
15
60
5,234
9/
5,500 hours of community-collected driving data helped push open-source driving video generation to new heights.
This is what Decentralized Physical AI can make possible. 💪
Explore VATIX and the results 👇
natix.network/blog/valeo-vat…
3
7
358
8/
VATIX 9B is the largest open-source video diffusion model trained from scratch on driving data.
It sets a new open-source benchmark for driving video generation. ⚡️
This is the first result from our broader work with Valeo, with a wider multi-camera WFM still ahead.
1
6
366