iiinova — where your digital self keeps evolving

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 17/09/2026

KE:SAI is an open science lab! We talk about our research without secrets. Visit our new website to find some of our recent talks: kesai.eu/talks/

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 02/09/2026

🌏 KE:SAI is going to ECCV, Europe's premier computer vision conference, and we will contribute 2 main conference papers and 7 invited workshop talks. I will cover some of the contributions over the coming days.

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Thomas Dietterich @tdietterich.bsky.social · 23/08/2026

4. An increase in the amount of good work. This is a great problem to have, and the solution is better tools for discovery and recommendation. I rely on Google Scholar and scholar-inbox myself.

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Daphne Cornelisse @daphne-cornelisse.bsky.social · 21/08/2026

What are the biggest bottlenecks to applying reinforcement learning and high-performance simulation in biology? In a new series, I’ll explore this question one domain at a time, starting with weakly electric fish. daphnecornelisse.substack.com/p/training-a...

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 18/08/2026

🔬This week's KE:SAI research highlight is PointDit, our ICML paper on monocular geometry estimation. 🧵 📜 arxiv.org/abs/2607.02515

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 04/08/2026

To build a self-driving car, you need lots of GPUs. KE:SAI is renting a dedicated H100 cluster from @scaleway.com to perform our research and train foundation models. The pictures show one of our many racks.

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ELLIS Institute Tübingen @ellisinsttue.bsky.social · 03/08/2026

🚀 We are thrilled to welcome Dr. Kashyap Chitta to the ELLIS Institute Tübingen as our newest Principal Investigator and Hector-Endowed Fellow! Alongside this academic role, he will continue his work with @kesai.eu, a non-profit open-science AI lab he co-founded in May 2026.

institute-tue.ellis.eu

Dr. Kashyap Chitta Joins ELLIS Institute Tübingen as Principal Investigator and Hector-Endowed Fellow

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 23/07/2026

I am mildly jealous of whoever winds up with this position. Amazing team, amazing goal

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 23/07/2026

KE:SAI is hiring! You are super excited about world models and autonomy? Come and join our team! Let's have impact together! kesai.eu/join/

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Tübingen AI Center @tuebingen-ai.bsky.social · 21/07/2026

Startup news from Tübingen! SOO happy for 🎉 Ontic Labs and Feyer, who have been selected for @SPRIND's Next Frontier AI Challenge. As two of just ten teams across Europe, they'll each receive €3 million to develop their companies. Congratulations to everyone involved! 🚀 tuebingen.ai/news/breakth...

tuebingen.ai

Breakthrough for two University of Tübingen AI startups

Ontic Labs and Feyer each to receive three million euros as they reach second round of Europe-wide competition

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 20/07/2026

🚗 KE:SAI got their own car for data collection and, once we have a permit, policy testing! Read more at: kesai.eu/blog/2026-07...

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 17/07/2026

It's getting real! We have been working on self-driving for more than 15 years, and most of that work has happened in simulation. Today that changes: our research vehicle arrived, and we can start testing our ideas in the physical world. kesai.eu/blog/2026-07...

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Alex Turner @turntrout.bsky.social · 15/07/2026

I resigned from Google DeepMind bc it broke its founding promise by selling AI to the military without restrictions against killer robots or mass spying. For months, I worked to stop this but watched powerful ethicists and institutions choose silence. Here's what happened. 🧵

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Andreas Kirsch @blackhc.bsky.social · 14/07/2026

I work at Google DeepMind. This won't make me popular. But it's all public reporting: 2014: DeepMind reportedly sold to Google on conditions: no military use, independent oversight 2026: a Pentagon contract for "any lawful government purpose" Not one safeguard survived intact

Collage titled "Trust is not Governance — an essay from inside Google DeepMind, written in personal capacity."

A 2014 memorandum, "Conditions of the Acquisition," lists: military applications of DeepMind technology banned; deployment decisions before an independent ethics board (as reported in Mallaby's The Infinity Machine).

Red threads lead to a 2026 U.S. Department of Defense agreement for classified networks reading "any lawful government purpose," with safety settings and filters adjusted at the government's request and no contractor veto (reported terms, The Information, Apr. 2026).

Below: a 2018 AI Principles strip ("no weapons, no surveillance") stamped DROPPED 2025, and a Project Mario 2016–2021 tag stamped ABANDONED.

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 14/07/2026

🗣️ I will give a talk at the Emerging Behaviors for Achieving Robust Autonomy workshop at ECCV 2026 this year in Malmö. emerging-ad.github.io 📜 The workshop is also accepting paper submissions. The deadline is next week: 20.07.2026

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 10/07/2026

In this talk from the GenAV Workshop at ICRA 2026, our CTO Kashyap Chitta highlights how open tools, shared benchmarks, and collaborative research can help accelerate progress in autonomous driving. Watch here: www.youtube.com/watch?v=_CYp...

youtube.com

Keshyap Chitta - KE:SAI - Workshop on Generalization in Autonomous Driving at ICRA 2026

What does it take to make autonomous driving research more open, accessible, and scalable? In this talk from the 1st GenAV Workshop at ICRA 2026, Kashyap Chitta explores Democratizing Autonomous…

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 08/07/2026

The AlpaSim E2E Closed Loop Challenge 2026 is open for registration and leaderboard access in a soft-open period. Build AV policies for realistic closed-loop simulation, where each policy's own decisions shape future scenes, observations, and interactions.

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 03/07/2026

Our team placed 3rd in the KITScenes LongTail Challenge at the CVPR 2026 Workshop on Autonomous Driving! We used zero-shot evaluation with the NVIDIA Alpamayo 1.5 vision-language-action model, with zero fine-tuning or task-specific training.

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 03/07/2026

Our CTO Kashyap gave a very nice talk at ICRA 2026 on "World Models: The Next Frontier of Motion Prediction". The talk sketches the history and also lays out what we plan to do at KE:SAI. Watch here: www.youtube.com/watch?v=sxlh...

youtube.com

Kashyap Chitta: World Models: The Next Frontier of Motion Prediction

Talk given on the 8th Workshop on Long-term Human Motion Prediction (LHMP) at ICRA 2026. Link to the Workshop website: https://motionpredictionicra2026.github.io Talk Abstract: Predicting how the…

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Kashyap Chitta @kashyap7x.bsky.social · 27/06/2026

Target points (from a system like Google maps) are how autonomous vehicles navigate long routes. However, make them too precise, and the policy exploits shortcuts. To deploy these systems in real-world conditions with low-res maps and noisy GPS, @kesai.eu is studying how to mitigate this bias.

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KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence @kesai.eu · 28/06/2026

World Engine is a RL post-training simulator for end-to-end driving. In collaboration with industry (and industry-scale data), we present an end-to-end policy post-trained within World Engine that achieves 200 km real driving without intervention. github.com/OpenDriveLab...

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Nicklas Hansen @ncklashansen.bsky.social · 26/06/2026

Super excited to share the last paper of my PhD: "Hallucination in World Models is Predictable and Preventable" ✨ We train a 350M-parameter generative world model on a large dataset spanning 210 tasks and show that we can predict *when* hallucination will happen and use that info to fix it! 🧵1/n

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 25/06/2026

🔬 This week's KE:SAI research highlight is World Engine, a RL post-training simulator and pipeline for end-to-end driving. 📜 arxiv.org/abs/2606.19836

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 19/06/2026

New Paper: arxiv.org/abs/2606.19370 Self-play yields capabilities but requires frustrating cost-function tuning. Surprisingly, just 30 minutes of demonstration data produces much more human-like driving policies! Led by @daphne-cornelisse.bsky.social Website: spiced-self-play.com

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OpenDriveLab @opendrivelab.bsky.social · 20/04/2026

🌍 WorldEngine: Towards the Era of Post-Training for Physical AI 🎯 A post-training framework for Physical AI that systematically addresses the long-tail safety-critical data scarcity problem in autonomous driving. Github: github.com/OpenDriveLab... Project Page: opendrivelab.com/WorldEngine/

github.com

GitHub - OpenDriveLab/WorldEngine: WorldEngine: Towards the Era of Post-Training for Physical AI

WorldEngine: Towards the Era of Post-Training for Physical AI - OpenDriveLab/WorldEngine

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Andrei Bursuc @abursuc.bsky.social · 19/06/2026

The #WorldEngine tech report is now up! It's our post-training framework to deal w/ scarcity of long-tail safety-critical scenarios. Post-training strategies for autonomous driving are rarely tackled and discussed in the open. We hope that this will open more this area. arxiv.org/abs/2606.19836

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Kyutai @kyutai-labs.bsky.social · 19/06/2026

🎰 Welcome to the FID Lottery. We pulled the lever 25 times on the same machine. Identical diffusion model, identical ImageNet class-cond recipe, only the seed changed. The house paid out anywhere from 33.59 to 35.69 FID. A 2.1-point spread, pure luck. Step onto the floor 👇🧵

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Gege Gao @gegeheseri.bsky.social · 18/06/2026

If you were asked to paint this picture, how would you do it? (1/n) Most humans would not paint every pixel at once. This simple intuition inspired our ECCV 2026 paper: Trajectory Forcing. Project page: mervekocabas.github.io/TrajectoryFo... #ECCV2026

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Access Now @accessnow.org · 15/06/2026

AI-accelerated warfare must stop! Together with @amnesty.org and +200 experts and civil society organizations, we are calling on governments and tech companies to ensure AI does not become a tool for accelerating death and destruction. Read our statement: www.accessnow.org/press-releas...

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 09/06/2026

🔬 This week's research highlight is 123D, KE:SAI's effort to unify all open driving data, creating the largest and most diverse pool of autonomous driving data out there.

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 03/06/2026

(1/9)🧵 This week's KE:SAI research highlight is our recent CVPR paper PrITTI: "PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes" arxiv.org/abs/2506.19117

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 03/06/2026

(1/9)🧵 This week's KE:SAI research highlight is our recent CVPR paper PrITTI: "PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes" arxiv.org/abs/2506.19117

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 29/05/2026

🧵Last week, I introduced KE:SAI, our new non-profit AI research organisation. Over the coming weeks, I’ll be sharing more about KE:SAI’s research. Today, we begin with our recent CVPR paper: **LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving** arxiv.org/abs/2512.20563

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 20/05/2026

Today, we are launching KE:SAI, a new non-profit open-science research organization dedicated to physical AI research, particularly autonomous driving. Our goal is to build the first competitive, fully open autonomous driving stack. kesai.eu/blog/2026-05...

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 20/05/2026

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Bernhard Jaeger @bernhard-jaeger.bsky.social · 14/05/2026

Many important science problems today need new organizational structures to solve. What is needed are indepentent, small, well-funded, world-class and focused teams. The US NFS is committing 1.5B to build them. Europe needs to pay attention. Have some announcement in that direction next week.

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 09/05/2026

Vladlen's talk in the latter half of this has been an inspiration to me for year's about how to be a researcher. Really recommend: www.youtube.com/watch?v=4LEZ...

youtube.com

CVPR18: Workshop: Part 2: Panel: How to be a Good Citizen of the CVPR Community

YouTube video by ComputerVisionFoundation Videos

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Convergent Research @convergentresearch.bsky.social · 21/04/2026

We’re very excited to announce the launch of two new Focused Research Organizations in the UK powered by @aria-research.bsky.social: @meridialneuro.bsky.social and @echolabs.bsky.social! Learn more: essentialtechnology.blog/p/introducing-meridial-and-echo-labs

essentialtechnology.blog

Introducing Meridial and Echo Labs

Launching Two New FROs in the UK

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 15/04/2026

Still hiring for PhD candidates who are *specifically* excited in building and deploying RL systems for self-driving vehicles and other multi-agent planning settings. Shoot me an email if you think this is you and please help spread the word!

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VolkswagenStiftung @volkswagenstiftung.de · 01/04/2026

👉 Wir drehen an einer wichtigen Stellschraube für bessere #Arbeitsbedingungen in der #Wissenschaft: Vollzeitstellen sollen für Doktorand:innen in Deutschland zur Norm werden. "Wir möchten dazu beitragen, das #Wissenschaftssystem in Deutschland weiterzuentwickeln und zu verbessern." 🌐 sohub.io/kyr3

volkswagenstiftung.de

"Wir wollen Impulse für gute Beschäftigungsbedingungen in der Wissenschaft geben." | VolkswagenStiftungCloseWeiterWeiter

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Christian Wolf @chriswolfvision.bsky.social · 19/03/2026

Naver AI has put the word "World" into "World Models", at least on a metropolis scale: A world model for Seoul using Naver Maps (the Seoul capital area is 25.6 million people, btw.). seoul-world-model.github.io arxiv.org/abs/2603.15583 @jnhwkim.bsky.social

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Daphne Cornelisse @daphne-cornelisse.bsky.social · 20/02/2026

Regularized self-play RL in grounded simulation effectively adapts driving policies to completely new cities. 🗽 -> 🗼 Really enjoyed collaborating on this work, led by Zilin and Saeed! Check out Zilin's post below for a great summary 🧵: x.com/nirhso/statu... 📄: arxiv.org/abs/2602.15891

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Igor Gilitschenski @igilitschenski.bsky.social · 13/02/2026

🚀 Excited to share REPPO, a new on-policy RL agent! TL;DR: Replace PPO with REPPO for fewer hyperparameter headaches and more robust training. REPPO, led by @cvoelcker.bsky.social, will be presented at ICLR 2026. How does it work? 🧵👇

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ML for Science @ml4science.bsky.social · 15/12/2025

📢We’re hiring: W3-Professorship in Machine Learning in Physics @unituebingen.bsky.social! What we’re looking for: Established research profile in a core area of #physics (condensedmatter, quantum or theoretical particle physics), strong track record in research questions related to #ML and/or #AI.

Tübingen AI Research Building, where the Cluster of Excellence "Machine Learning" is based.

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Daphne Cornelisse @daphne-cornelisse.bsky.social · 30/12/2025

What if you could train agents on a 𝗱𝗲𝗰𝗮𝗱𝗲 of driving experience in 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, on a single GPU? Excited to share 𝙋𝙪𝙛𝙛𝙚𝙧𝘿𝙧𝙞𝙫𝙚 2.0: A fast, friendly driving simulator with RL training via PufferLib at 𝟯𝟬𝟬𝗞 𝘀𝘁𝗲𝗽𝘀/𝘀𝗲𝗰 🐡 + 🚗 youtu.be/LfQ324R-cbE?...

youtu.be

PufferDrive 2.0 release

YouTube video by Daphne Cornelisse

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