This episode carries Mark Ring's own address, with nobody on the show putting
questions to them. It still counts as said, and it is kept out of every score on their page.
Mark Ring, AI researcher and Cogitai co-founder, describes how forecast mechanisms allow artificial intelligence to scale from simple sensory inputs to abstract concepts.
“But critically, forecasts are an isolaminar mechanism, so you can use them layer after layer, from simple to complex. And this is possible because a forecast can make a prediction about another forecast. You can build forecast A to make one prediction, and then build forecast B to make a prediction about forecast A.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Mark Ring
Opinion
Mark Ring: A lot of modern AI is just a sophisticated party trick
“To a large extent, I think, ah, a lot of AI today is really a computationally sophisticated party trick.”
Ring: Continual forecast chains show first glimpse of true AI understanding
“So I think that what we're seeing here is a first glimpse of true computer understanding of the world around us in the way that, that humans have it.”
Ring: True robot knowledge stems from experience, not pre-programmed labels
“There, these aren't just arbitrary labels or categories that are programmers assigned to a node in a graph. This is verifiable knowledge based on experience in the real world.”
This entire site, over 1,000 episodes transcribed, diarized, checked and made playable,
runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the
moments worth sharing, cuts them, captions them, and reframes them for every feed.
We use essential cookies to make the site work. With your permission we
also use analytics cookies (Google Analytics and Mixpanel) to understand
usage and improve StarZero. See our Cookie Policy.