Steven Swanson @neojipc
Cofounder & Chief Experience Officer @helloVERSES Distributed intelligence. Imagine a Smarter World. Views are my own. verses.ai/careers Los Angeles, CA Joined September 2010-
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Steven Swanson retweeted
Our CEO @GReal1111 & Chief Scientist Karl Friston are featured in the Financial Times today discussing alternatives to LLMs. "One expert proposing a different path is Karl Friston... chief scienti... Verses, who thinks we still have much to learn from biological intelligence...…
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Richard Sutton, author of "The Bitter Lesson", now has a better lesson: "The majority of high-quality data sources...have either already been, or soon will be consumed." theaiinnovator.com/welcome-to-the…
I like to think of this research as giving autonomous vehicles #imagination. 🚘🤔✨
I like to think of this research as giving autonomous vehicles #imagination. 🚘🤔✨
How many r's in Agentforce?
Steven Swanson retweeted
oops. who could have seen this coming?!
oops. who could have seen this coming?!
For anyone who genuinely understands #robotics (or machine learning in general) this is NOT trivial. Huge props to the research team at @helloVERSES ! 🤖🦾🦿
For anyone who genuinely understands #robotics (or machine learning in general) this is NOT trivial. Huge props to the research team at @helloVERSES ! 🤖🦾🦿
The more things change, the more they stay the @sama
Insightful perspective from @MahaultAlbarra1 on the care and consideration that underpin @helloVERSES approach to agentic intelligence. #multiagent #governance #trust #sustainability #accountability wearetechwomen.com/mahault-albarr…
Wow. 😯 Incredibly thorough analysis from @Machine01776819 on @helloVERSES work developing generalizable agentic intelligence. …alintelligencemadesimple.substack.com/p/how-a-tiny-a… #agentic #intelligence #activeinference
Steven Swanson retweeted
In @IEEESpectrum today VERSES CEO @GReal1111 explains how the new Spatial Web standards will be used by agents, drones, lunar rover modelling and more: spectrum.ieee.org/spatial-web-st…
Steven Swanson retweeted
Psychology Today has published an article covering our work, saying that it is: "designed from the ground up to mimic natural intelligence" Read more: psychologytoday.com/us/blog/experi…
Adaptive General Intelligence Research deep dive on how @VERSESAI cognitive architecture, AXIOM, efficiently *learns* rather than being pre-trained on oceans of examples. ✨
Adaptive General Intelligence Research deep dive on how @VERSESAI cognitive architecture, AXIOM, efficiently *learns* rather than being pre-trained on oceans of examples. ✨ https://t.co/zleijMbXeM
Steven Swanson retweeted
VERSES® Signs Kalosys As Enterprise Customer for Genius™ IT Solutions Provider Will Use VERSES' Genius Platform to Improve IT Workforce Scheduling and Productivity
Steven Swanson retweeted
There's now an overall framework to support an agentic AI-oriented web of world models. @glawton explains how the recently-approved IEEE P2874 Spatial Web Standard can help guide the development of decentralized, trustworthy, and useful physical AI. bit.ly/44mygNp
The Janky Web. So true. 😂😭
Excited to welcome @RealDataScience as a strategic partner! 🤝
Excited to welcome @RealDataScience as a strategic partner! 🤝
"the nervous system of tomorrow’s cities" Love the biomimetic reference 😍
"the nervous system of tomorrow’s cities" Love the biomimetic reference 😍
"This breakthrough could redefine intelligence forever." 😮 What a thrill for @helloVERSES and Genius to be covered in Popular Mechanics! popularmechanics.com/technology/a64…
🤩 “The general goals of [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI,” says @fchollet
🤩 “The general goals of [VERSES] approach and some of its key features track with what I see as the most important problems to focus on to get to AGI,” says @fchollet
Steven Swanson retweeted
The Free Energy Principle is a pretty good idea, but its core value isn't to serve as a grand unifying "theory of everything" for cognition. Rather, its core insight is the rigorous emphasis on active inference, which has been badly missing from the deep learning era.
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