The Future of AI

Spatial Web AI Twitter Spaces

Web 3.0   |   Artificial Intelligence   |   XR Smart Technology


Tune in every Tuesday at
5 pm PST for what is proving to be one of the most important conversations in the world of AI

Spatial Web #AI Twitter Tuesdays (Recordings)

Hosted by Denise Holt

Listen to replays of the ongoing public discussion about the future of
Artificial Intelligence and Web 3.0

Special Guest: Alex Nase

This week’s conversation discusses the challenges that large language models (LLMs) face and compares them to active inference AI, which has advantages over LLMs. While LLMs are good at content creation, task implementation and idea enhancement, they lack perception and context. Active inference AI, on the other hand, can make informed decisions and is aware of contingencies and relationships between entities within a network. The conversation also explores how active inference AI can help in healthcare, and how it relates to cognitive science and neuroscience. The ultimate goal is to have an individual intelligent agent that can provide customized education and enhance our lives. Furthermore, active inference AI and the spatial web network can function as a nervous system for companies and cities.

◼Overview of Large Language Models (LLMs) and Active Inference AI

◼ Active Inference in Healthcare

◼ Chat GPT and LLMs

◼ Active Inference and Cognitive Science/Neuroscience

◼ Enhanced Learning with Active Inference

◼ Q&A Session – topics: data transfer, education, and business incubation

Special Guest: Russell Korus

This week’s conversation touched on:

◼ Machine Learning Models are trained on historical data from the past, whereas Active Inference AI operates off of continually updated real-time, real life data. What does this mean, and how does this affect the purpose and possibilities for these different types of AI.

◼ KOSM OS App Store where anyone can build an Intelligent App as an Agent within this new network of distributed intelligence.

◼ Real high level use cases that are already being worked out and implemented with KOSM and the Spatial Web Protocol – supply chain, Fly Forward (European drone delivery project), planetary infrastructure and real-time operations, smart cities, etc…

◼ How the Spatial Web Protocol informs the perception of the Active Inference AI.

◼ The importance and benefit of decentralized AI.

◼ How the Spatial Web AI solves for things like deep fakes.

◼ The benefit of Zero Trust Architecture and Self-Sovereign Identity in the Spatial Web

◼ Clarifying what “accuracy” means in regard to Active Inference AI

◼ GIA as the interface – GIA as your “personal assistant”.

◼ Musings about a future where AI replaces so many jobs, what does this mean for money, survival, and quality of life?

◼ What about core standards?

◼ What kind of intelligent app can you build on the KOSM OS platform and what to keep in mind?

◼ The big advantage to Enterprise organizations deploying Active Inference on KOSM.

◼ Security in the world wide web vs. the Spatial Web

◼ A positive outlook for the future of humanity and our planet.

Special Guest: Wayne Marcel, aka, Blockchain Wayne

In this discussion we covered what it means for the internet protocol to evolve and why it needs to. We dove into subjects like digital IDs, Zero Knowledge Proofs, security in the Spatial Web vs. the world wide web, the difference between LLMs and Active Inference AI, and much more. We also touched on some of the exciting things that VERSES AI is launching to the public this fall.

Special Guest: Travis Wright

In the discussion we covered the difference between LLMs and Active Inference AI, the Spatial Web Protocol (what the internet is evolving into next), and what it means for AI vs. the various machine learning AI we have right now. We also discussed the exciting things that are launching to the public this fall!