fabio bonsignorio

@pmddomingos @pmarca Good point 😂

@pmarca What’s wrong with reading new books?

My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.

@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

This @waitbutwhy illustration is 👌

@AiforsL Some hard core math work 😅

brick by brick... rdcu.be/e009o

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: arxiv.org/pdf/2507.19975 To dive deeper into the mechanisms for this, check out our survey (arxiv.org/abs/2312.01939) 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:)

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: arxiv.org/abs/2601.00675

Humanoid robots are coming, but don't hold your breath waiting for them: news.berkeley.edu/2025/08/27/are…

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.

'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: reut.rs/46nHOce

Lessons learned in Prague 😎

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

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

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:

SpaceX’s Giant Mars Rocket Completes Nearly Flawless Test Flight nytimes.com/2025/08/26/sci… via @NYTimes

Great work by the SpaceX team!!

Starship’s tenth flight test pushed the limits and provided maximum excitement along the way → spacex.com/launches/stars…

The path to solving hunger, disease and poverty is AI and robotics

brutte persone are self-organizing .... stay tuned 😎

a week later ... IEEE RAS ERAS very first edition happened at WPI, Rochester, MA, USA... but this is another story... erasrobotics.org ... check back ...😎

Our colleague Enrica Zereik from CNR-INM and Heron@CNR Joint Lab showed her and our common work