modern robotics (might take more than two weeks) time to build the future that moves

Always proud to exercise my right to vote. 🗳️🇺🇸

I doubt real AGI in computers will occur. It would require some overarching motivation and purpose of its own rather than programming. Consciousness provides that with feelings which gives purpose and drives behavior. ASI maybe, but without AGI or consciousness, so what?

Turned out to be great discussion, from translating academic research into policy changes to using AI chatbots to facilitate convos with conspiracy theorists. However it didn’t go unnoticed that the top voted poll question went unanswered: “Why can’t we vote online?” #Vote

Kiss the CHIPS and Science Act goodbye…and potentially America’s foothold in the AI race.

‘We need to be ready for a new world’: scientists globally react to Trump election #Election2024 nature.com/articles/d4158…

"Understanding LLMs from Scratch Using Middle School Math" Neural networks learn to predict text by converting words to numbers and finding patterns through attention mechanisms. So the network turns words into numbers, then use attention to decide what's important for

Not long ago, most AI experts knew for a fact that neural networks were a failed avenue. Even as late as 2014, many of the top researchers in computer vision were saying that deep learning might be just a temporary fad.

A reminder to stay curious. "Experience has taught us…that we cannot predict where the next important breakthrough will emerge.

Your body is your brain. 🧠 Glad to see more evidence on this form of learning and memory. Perhaps this will lead to further validation and different takes on how to implement embodied intelligence.

NSF makes you say who you got conflicts (coauthored) with. We (really just Jordan Matelsky @jordan.matelsky.com on bsky ) just built you a tool for that. Literally one click (on top of revealing your name): bib.experiments.kordinglab.com/nsf-coa - one of the most useful tools the lab ever built.

The Theory of Learning “understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need”

OpenAI, Google and Anthropic are struggling to build more advanced AI bloomberg.com/news/articles/… via Bloomberg Technology

🦠🔬Can Technology Predict and Prevent Epidemics? Mark your calendars for our upcoming Friday Night AI "#AI vs the Flu:" 🗓️ DEC 13 @ 6:30pm 📍Ann Arbor District Library Bring your questions and let's explore how cutting-edge tech is transforming health: ai.engin.umich.edu/events/friday-…

Story of our new grant as shared by the university. Excited to work on this project! @NIMHgov NIH

Honestly surprised this wasn’t happening already.