fabio bonsignorio

[AIFORS Lab @AiforsL]

The ONLINE and IN PERSON registration for ERAS 2026 https://t.co/FddQw55XJ0 is still possible.
The conference will start on May 28th at 9:00 CEST.
Program here: https://t.co/MprIO6ZVwT
Details here: https://t.co/ZxQbzYcR8C
Link to registr: https://t.co/uPosmK8GZ5
CU soon!!!

[Pedro Domingos @pmddomingos]

Also what I've seen.

[NASA @NASA]

Good morning, world! 🌎

We have spectacular new high-resolution images of our home planet, all of us looking back through the Orion capsule window at our Artemis II astronauts as they continue their journey to the Moon.

[NASA @NASA]

The Orion spacecraft successfully separated from the upper stage of the rocket, and the "proximity operations" test is underway. The Artemis II astronauts are manually piloting Orion similarly to how they would if they were docking with another spacecraft.

[Ken Goldberg @Ken_Goldberg]

Very excited about the prospect of Code-as-Policy (CaP) for Robotics!
Esp with recent rapid advances in agentic coding. CaP has potential to quickly combine VLA models with GOFE primitives into interpretable code, observe experiments, and iterate. Initial results are promising:

[NASA @NASA]

Liftoff.

The Artemis II mission launched from @NASAKennedy at 6:35pm ET (2235 UTC), propelling four astronauts on a journey around the Moon.

Artemis II will pave the way for future Moon landings, as well as the next giant leap — astronauts on Mars.

[NASA @NASA]

The weather's looking good for tomorrow's Artemis II launch, and our teams are getting the rocket ready for liftoff!

Read the latest updates on our mission around the Moon: https://t.co/doIjUqa1cx

[fabio bonsignorio @fbonsignorio]

@pmddomingos @pmarca Good point 😂

[fabio bonsignorio @fbonsignorio]

@elonmusk @waitbutwhy There are no times marked on the H 😎biggest flaw: you do need 3 curves: 1) human intelligence simulation (grok and fsd and optimus 😅😎, similar to the picture for now but a sigmoid 2) physical intelligence, ants birds etc, log (Time) 3) real agi, flat you will need (2) first

[fabio bonsignorio @fbonsignorio]

@AiforsL Some hard core math work 😅

[AIFORS Lab @AiforsL]

brick by brick... https://t.co/0md0ryNQsX

[Markus Wulfmeier @m_wulfmeier]

Transfer and lifelong adaptation remain central challenges for physical AI. Unlike LLMs, which benefit from more standardized interfaces, the complexity of robotic embodiments, environments, and human interactions - combined with limited pretraining data - renders pure generalization insufficient.

This roadmap by @Ken_Goldberg @davscaramuzza @aschoellig @RavinderSDahiya @petercorke @siddssrinivasa & Aude Billard nicely points out this and other key hurdles: https://t.co/6oxIuPFDS7

To dive deeper into the mechanisms for this, check out our survey (https://t.co/Fo4OctzVmn) which summarizes the mechanisms and knowledge types needed to address this. While we only had a small section on the shift towards VLAs, the core ideas themselves transfer directly to this new paradigm! 🤖🚀

(And for the nano banana fans:)

[Chelsea Finn @chelseabfinn]

Studying generalist reward models is hard: robot datasets focus on successful demos, not failures.

We introduce:
- a large-scale reward modeling benchmark
- a data augmentation scheme
- a generalist reward model that outperforms frontier VLMs

Paper: https://t.co/lCIAtUEpPo

[Ken Goldberg @Ken_Goldberg]

Humanoid robots are coming, but don't hold your breath waiting for them:
https://t.co/tvRd1pg9FU

[Ken Goldberg @Ken_Goldberg]

I agree. Either a risk taker will discover a breakthrough analogous to relativity or the DNA double-helix structure or there may be a lengthy plateau of incremental progress. We’re all placing bets and like baseball, there’s no clock on the game.

[Reuters @Reuters]

'Hamilton' turned 10 this summer. In @Reuters latest Culture Current, Leslie Odom Jr. speaks about returning to Aaron Burr, the show’s cultural legacy, and why it still resonates in 2025. Read the full Q&A: https://t.co/mx7xvrd1gv

[fabio bonsignorio @fbonsignorio]

Lessons learned in Prague 😎

[AIFORS Lab @AiforsL]

Misterious AIFORS member giving a cool talk at ICDL in Prague 😎

[AIFORS Lab @AiforsL]

In Prague for ICDL 🙂Looking forward meeting old and new friends!

[hardmaru @hardmaru]

Amazing that @SchmidhuberAI gave this talk back in 2012, months before AlexNet paper was published.

In 2012, many things he discussed, people just considered to be funny and a joke, but the same talk now would be considered at the center of AI debate and controversy.

Full talk: