Thanks for asking! The book blends theory with practical examples. We’ve done small-scale experiments showing how electrodynamics can drive adaptive computation, using memristor-based circuits that adjust themselves in response to changing inputs. The idea is to illustrate how these principles can work in real hardware, not just on paper Dorian Aur
On Wed, Dec 17, 2025 at 2:06 PM Matt Mahoney <[email protected]> wrote: > About your book. Is this all theory or have you done any experiments to > support it? Can you give an example of some type of computation you have > done with electrodynamics? What materials did you use? > > -- Matt Mahoney, [email protected] > > On Wed, Dec 17, 2025, 8:52 AM Dorian Aur <[email protected]> wrote: > >> At this stage, I see value in maintaining both digital and analog, there >> will be a major shift in AI toward new forms of computation that move far >> beyond traditional algorithms, and this change is likely to accelerate over >> the coming year. Preparing younger generations for this transition isn’t >> something that can wait, these foundations are needed to remain >> competitive. >> >> Dorian Aur >> >> PS For context, see: https://www.amazon.com/dp/B0G4NVY6DN >> > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + > delivery options <https://agi.topicbox.com/groups/agi/subscription> > Permalink > <https://agi.topicbox.com/groups/agi/Tca9651e0e10920d5-Mca4f62a5e10b75734b164313> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tca9651e0e10920d5-M28de71dda0e0a4de9871592e Delivery options: https://agi.topicbox.com/groups/agi/subscription
