Evangelos Kazakos

@ekazakos.bsky.social

Postdoctoral researcher @ CIIRC, CTU, Prague working in vision & language. Also robotics noob. PhD from University of Bristol. Ex. Samsung Research (SAIC-C). I love coffee and plants. And socks. 𖤓꩜𓆉𓃰𖤐 https://ekazakos.github.io/

It is strange how much LLMs turned out to be able to solve such a wide range of hard problems that would not, instinctively, seem to be problems that a model of human language would be able to solve This is from a Stanford project that let Astra drive a robot in a kitchen tml.stanford.edu/homebody/

AI for Peace 2nd edition is back at @neuripsconf.bsky.social, Paris, December. The call for in person presentations is open. Submit, come, and be part of a community that is building up. AI for Peace @ NeurIPS 2026, Paris - One-page, non-archival, talk or poster. - Deadline 14 September 2026

Banner with a description of AI for Peace workshop. "A one-day workshop on how AI research enters military use-and researchers' responsabilities when it does". Link to submit a presentation.

Excited to share that our paper ZendoWorld has been accepted to #NeurIPS2026! 🎉 ZendoWorld tests interactive visual reasoning and demonstrates that current agents (VLM and NeSy) still struggle with both rule induction and informative experimentation 🤖💭

Antonia Wüst@toniwuest.bsky.social · 3mo ago

Can AI agents act like scientists when reasoning about visual scenes? 🔬 Not just label what they see, but form explicit hypotheses, design experiments to test them, and revise their beliefs in light of the evidence. We built ZendoWorld to find out!

Quick belated paper promotion. We had 2 papers at ECCV that I was in Malmo to present! UniFlow is a foundation model for 3D LiDAR scene flow, demonstrating zero-shot generalization across datasets and LiDAR sensors for the first time. We also showed that semantics don’t generalize the same way.

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A lesson from decades of work on automation is that autonomous systems require continual monitoring and human oversight. System designers never(*) succeed in anticipating all of the ways that a system can fail.

I have been yelling since 2021 about how using synthetic text extruding machines for information access is a TERRIBLE IDEA. And yet and yet and yet: they are marketing so heavily that way that people keep falling for it. edition.cnn.com/2026/09/18/p...

Exclusive: US military had close call after using AI for false intelligence report, sources say | CNN Politics

The episode shows the risks of using this new, relatively poorly understood technology in the middle of the Iran war

edition.cnn.com

The response in Israel to Naza is beyond unhinged. Mobs have shown up at the house of co-director Rachel Szor's family. All over social media the directors are being branded traitors and "not Jews". There is a frenzy of incitement to violence against them online www.theguardian.com/world/2026/s...

Netanyahu seeks to strip citizenship from Israelis as threats to NAZA film directors intensify

Israeli prime minister to pursue new laws as directors of Guardian-produced film face threats from far-right officials and activists

theguardian.com

How can vision models adapt to different compute budgets? ⚙️ In this ELLIOT Research Spotlight 🔬, we highlight SnapViT, a method from the University of Amsterdam, University of Technology Nuremberg & NVIDIA that makes pretrained Vision Transformers elastic without retraining. Paper in comments 👇

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Federal health officials are pushing to reimburse autonomous clinical A.I. via Medicare, but clinical validation isn't keeping up with the rush. The FDA has cleared 1,500+ narrow algorithms, but none of these prescribing agent pilots have formal agency approval yet. #MedSky

U.S. Health Officials Move Quickly to Deploy Medical A.I. Despite Concerns (Gift Article)

Federal projects are rolling out A.I. agents that offer therapy and prescribe medicine, raising concerns about safety and the influence of venture capital investors.

nytimes.com