NATIX Network ✓

@NATIXNetwork · joined 20 Apr 2022

The world’s largest camera infrastructure for mapping, autonomous driving, and physical AI. Powered by @Solana.

136 968Followers

122Following

3 405Posts total

57KViews on collected posts

Últimas publicaciones

NATIX Network ✓@NATIXNetwork12 Sep

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

4.3K views · 39 likes · 8 reposts · 0 replies Open on X →

NATIX Network ✓@NATIXNetwork11 Sep

@NATIXNetwork Nice work! Are we working on listings as well? 45 views · 0 likes · 0 reposts · 0 replies Open on X →

NATIX Network ✓@NATIXNetwork11 Sep

@NATIXNetwork How many tokens did we burn 65 views · 0 likes · 0 reposts · 0 replies Open on X →

NATIX Network ✓@NATIXNetwork11 Sep

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

4.9K views · 56 likes · 14 reposts · 2 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

@NATIXNetwork @Valeo_Group I’m curious how VATIX performs in real driving scenarios 57 views · 2 likes · 0 reposts · 0 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

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. 315 views · 6 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

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 👇 https://t.co/eMABLMGjvr https://t.co/ioVVsqXtzL

309 views · 7 likes · 3 reposts · 0 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

6/ The final model, VATIX 9B, learned its entire understanding of driving from NATIX footage. 🚗 And how did it do? It smashed the competition! VATIX 9B delivered over 60% better image quality and nearly 70% better video-consistency scores than its open-source competitors. https

153 views · 8 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

7/ The biggest surprise? The NATIX dataset still had more to give. Even after 200+ experiments, performance kept improving as more footage was used. No clear plateau was reached. 5,500 hours pushed the open state of the art, but the ceiling is higher. 🌎 136 views · 5 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

5/ Those scaling laws were then used to predict how a 9B-parameter model would perform before training it. The prediction landed within 3.6% of the final result, showing that large models can be planned far more efficiently. 🎯 That means less wasted funding and compute. 159 views · 6 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

3/ Most driving world models are adapted from models already trained on web videos. Often, these models fail the reality check and break down after a couple of seconds. ❌ With 5,500 hours of driving footage provided by the NATIX Network, Valeo took a different approach. 286 views · 11 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

4/ Valeo trained its world model, VATIX, from scratch using NATIX's driving data. They trained 200+ models to measure how data, model size, and compute affect performance. 📈 The results provided a breakthrough: predictable rules for how to build better driving world models. htt

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191 views · 8 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

2/ What if AI could watch a few seconds of driving, then imagine what happens next? That's the promise of World Models. Video goes in. A simulated version of reality comes out. That's how autonomy scales. But it's a little more complicated than that. https://t.co/lj9ntdADw6

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521 views · 11 likes · 0 reposts · 1 replies Open on X →

NATIX Network ✓@NATIXNetwork10 Sep

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

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36K views · 209 likes · 19 reposts · 67 replies Open on X →

NATIX Network ✓@NATIXNetwork9 Sep

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.

4.7K views · 50 likes · 8 reposts · 2 replies Open on X →

NATIX Network ✓@NATIXNetwork31 Aug

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

4.8K views · 43 likes · 12 reposts · 5 replies Open on X →

Frente a cuentas del mismo tamaño

16 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega a menos gente que sus pares, pero los implica mucho más.

Visualizaciones medianas298esta cuenta6 342mediana de 100K–1M

Alcance, %0.22%esta cuenta1.82%mediana de 100K–1M

Interacción, %2.26%esta cuenta1.13%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	298	6 342	0.05×
Alcance (visualizaciones ÷ seguidores)	0.22%	1.82%	0.12×
Tasa de interacción	2.26%	1.13%	2.00×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

36K10 Sep

521

191

286

159

136

153

309

315

4.9K11 Sep

4.3K12 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.82%10 Sep

2.30%

4.71%

4.20%

4.40%

4.41%

5.88%

3.24%

2.22%

3.51%

1.47%11 Sep

0.00%

1.09%12 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.13%.

What the audience does

Likes75.0%461 in total

Reposts10.4%64 in total

Replies13.5%83 in total

Bookmarks1.1%7 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Últimas publicaciones

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Growth & engagement

Views per post

Engagement rate per post

What the audience does

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