tellarin

Dupe: https://news.ycombinator.com/item?id=48727789

Some collaborators and I recently released a first version of a benchmark we think highlights a critical gap in recent AI models in understanding causality in the real-world, beyond a physics focus.

Everyday environments are rich in tangible control interfaces (TCIs), like, light switches, appliance panels, and embedded GUIs, that are designed for humans and demand commonsense and physics reasoning, but also causal prediction and outcome verification in time and space (e.g., delayed heating, remote lights).

Paper: SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Data and leaderboard in HuggingFace.

Feedback, suggestions, and collaborators are very welcome!

Selfless plug here... Some collaborators and I just released a first version of a benchmark we think highlights a critical gap in recent models in understanding causality in the real-world, beyond a physics focus.

Everyday environments are rich in tangible control interfaces (TCIs), like, light switches, appliance panels, and embedded GUIs, that are designed for humans and demand commonsense and physics reasoning, but also causal prediction and outcome verification in time and space (e.g., delayed heating, remote lights).

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios (https://huggingface.co/papers/2511.17649)

Feedback, suggestions, and collaborators are very welcome!

I'm hiring and can't find enough good CS candidates. Not in the UK though.

For a while I shared an old apartment with 3 others. Old building, 10th floor, cloth-wrapped wiring (no modern plastic/rubber/etc.), windows that didn't close, a condemned fenced-off balcony, and occasional rat visitors that could reach the 10th floor.

Dupe. Recent thread: https://news.ycombinator.com/item?id=45962654

[dupe] https://news.ycombinator.com/item?id=45809932

[dupe] https://news.ycombinator.com/item?id=45809932

Just maybe not enough.

Google has DeepMind, Microsoft has Microsoft Research, Meta has FAIR.

It’s not trivial to foster such environments, but they do still exist in different forms.

My team and I are working on embodied AI. More specifically, focusing on humanoid legged robots for long horizon tasks combining navigation and manipulation/interaction.

We've recently put a paper out in arXiv (https://arxiv.org/pdf/2503.12533) and the project page is: https://beingbeyond.github.io/being-0/

BAAI is also hiring! No fully remote positions though. :-/

Not to mention that clarifying this can lead to increased motivation to learn and discover stuff, as kids won’t think that if they are not geniuses they shouldn’t even try to create something new.

Well, there was a Canadian competitor company, and then a Canadian CEO...

The funny thing is that all FAANGs have big European subsidiaries, and specially so for their research labs.

Also, they always buy any promising new European company (and many times even keep their original offices open in Europe).

If things in Europe are so bad, I wonder why?

I’m working on embodied AI. More specifically, focusing on humanoid legged robots for long horizon tasks combining navigation and manipulation/interaction.

We just actually put a paper out in arXiv: https://arxiv.org/pdf/2503.12533 And the project page is: https://beingbeyond.github.io/being-0/

BAAI is also hiring! No fully remote positions though. :-/