https://www.youtube.com/watch?v=Imv2BpJzydg

Join the most

Exciting Project on the Planet!

The Future AI Society: Beyond Neural Networks and LLMs; Alternative AI

Are you interested in:

  • Why isn’t today’s AI smarter?
  • Will they be more dangerous than today’s AI?
  • How does the human mind understand?
  • How do we define understanding, anyway?
  • Will our future machines be conscious entities?

For answers to these questions, you’ll want to participate in the Future AI Society.

Dedicated to Creating and Collaborating on new approaches to Artificial  Intelligence

Today’s AI has great capabilities but most of its weaknesses stem from its lack of true understanding—the knowledge and understanding used by people every day.

Machine Learning (which dominates today’s AI) looks like it works but it has no comprehension of:

  • the symbols it manipulates relate to real-world objects
  • real-world objects persist and interact in three dimensions
  • the passage of time
  • cause and effect

—fundamental understanding possessed by any three-year-old. If only today’s AI had common sense, AI would be much more capable and safer.

Common Sense

Consider the common sense a child —absent in today’s AI. She can:

  • Set a goal and be happy when she achieves it.
  • Build an internal mental model of her surroundings—she knows where blocks are without looking.
  • Understand simple physics: gravity, center of mass, balance, causality,  three-dimensionality passage of time, etc..

With Common Sense, our AI’s will be safer and more useful.

Learn, Collaborate, Volunteer
Share your expertise, Learn from others

Participate and learn from our ever-growing library of software and resources as they become available:

  • Website
  • Videos
  • Open-source software
  • Additional software tools
  • Academic papers
  • Expert Interviews
  • Online courses
  • Books
  • Webinars
  • Community calls
  • Online community
  • In-person conferences and gatherings
  • Online experiments

Volunteers are needed!

  • Developers: explore and develop new techniques
  • Website design and implementation
  • Video Creators: explain complex ideas in short formats
  • Social Media administrators and participants
  • Researchers: Computer science, psychology, neuroscience, philosophy, etc.
  • Writers: make ideas shine
  • People who want to be a part of the Future of AI, most exciting project on the planet!

A fundamental change is needed

Many experts agree that a self-adaptive hypergraph software structure is needed to create the true basis of understanding including:

  • One-shot learning
  • Improved efficiency in CPU and memory usage
  • “Comprehending” the relationships between disparate items of information
  • The ability to cope with unexpected, unanticipated situations

Brain Simulator II — Neural Simulator

Brain Simulator III — Adaptive Graph System