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Spatial Web AI Podcast

TechnologyPodcastsEN-USunited-states
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The future of AI, and the next evolution of the internet is here: Combining the Spatial Web Protocol - HSTP and HSML, with Intelligent Agents and Active Inference AI, and the new VERSES KOSM™ OS.The mission for our channel is to highlight the accelerated progress of this new technology, providing education and resources for the coming convergence of new Smart Technology stacks, merging AI, AR, VR, IOT, and DLTs, on a common universal network, known as the Spatial Web.
Top 4.4% by pitch volume (Rank #2182 of 50,000)Data updated Feb 10, 2026

Key Facts

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N/A
Episodes
44
Founded
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Category
Technology
Number of listeners
Private
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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/spatial-web-ai-podcast
Reply rate: Under 2%

Latest Episodes

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Karl Friston on Yann LeCun & Gary Marcus' Allergy to Authoritative B.S. - This & More - IWAI 2025

Sat Jan 10 2026

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This video features rare, in-depth conversations between Denise Holt, Karl Friston, and Gary Marcus, recorded at the International Workshop on Active Inference 2025 in Montreal, Canada, October 15-17, 2025. #ActiveInference #KarlFriston #GaryMarcus Filmed on site during the conference, this episode brings together two of the most influential thinkers in AI, neuroscience, and cognitive science to discuss where artificial intelligence is today and where it must go next. In an extended one-on-one interview, Karl Friston explores Active Inference, the Free Energy Principle, agency, uncertainty, and why current generative AI systems lack true understanding. Friston explains why intelligence must be grounded in generative models of the world, how uncertainty and curiosity drive real intelligence, and why Active Inference represents a first-principles approach to building adaptive,autonomous systems. The episode also includes a candid interview with Gary Marcus, one of the most prominent critics of large language models. Marcus discusses the limitations of LLMs, the dangers of hallucination and overconfidence, the need for explicit world models, and why symbolic reasoning and probabilistic structure must return to the core of AI systems. He alsoaddresses governance, energy efficiency, and why scaling data and compute alone will not lead to reliable intelligence. Finally, the video features a joint on-stagediscussion with Karl Friston and Gary Marcus, moderated by Tim Verbelen at the International Workshop on Active Inference, where they debate the future of AIbeyond deep learning, the role of uncertainty, world models, agency, and what it will take to move from pattern generation to genuine understanding. This episode was recorded live at IWAI 2025, where researchers from around the world gathered to advance Active Inference as a foundational framework for intelligence in neuroscience, robotics, and artificial systems. Topics covered in this video include: ·     Karl Friston on Active Inference and the FreeEnergy Principle ·     Karl Friston on Yann LeCun ·    Gary Marcus on the limits of large languagemodels ·     Why uncertainty is essential for intelligence ·     Agency, curiosity, and information-seekingbehavior ·     World models vs generative AI ·     Energy efficiency and sustainability in AI ·     Why scaling deep learning is not enough ·     The future of adaptive, autonomous AI systems This conversation is essential viewing for anyone interested in the future of AI, neuroscience, cognitive science, and the next generation of intelligent systems. Recorded at the International Workshop on Active Inference 2025 in Montreal, Canada. Learn more about Active Inference AI at https://aix.us.com/ #ActiveInference #KarlFriston #GaryMarcus #AIX #SeedIQ #IWAI

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This video features rare, in-depth conversations between Denise Holt, Karl Friston, and Gary Marcus, recorded at the International Workshop on Active Inference 2025 in Montreal, Canada, October 15-17, 2025. #ActiveInference #KarlFriston #GaryMarcus Filmed on site during the conference, this episode brings together two of the most influential thinkers in AI, neuroscience, and cognitive science to discuss where artificial intelligence is today and where it must go next. In an extended one-on-one interview, Karl Friston explores Active Inference, the Free Energy Principle, agency, uncertainty, and why current generative AI systems lack true understanding. Friston explains why intelligence must be grounded in generative models of the world, how uncertainty and curiosity drive real intelligence, and why Active Inference represents a first-principles approach to building adaptive,autonomous systems. The episode also includes a candid interview with Gary Marcus, one of the most prominent critics of large language models. Marcus discusses the limitations of LLMs, the dangers of hallucination and overconfidence, the need for explicit world models, and why symbolic reasoning and probabilistic structure must return to the core of AI systems. He alsoaddresses governance, energy efficiency, and why scaling data and compute alone will not lead to reliable intelligence. Finally, the video features a joint on-stagediscussion with Karl Friston and Gary Marcus, moderated by Tim Verbelen at the International Workshop on Active Inference, where they debate the future of AIbeyond deep learning, the role of uncertainty, world models, agency, and what it will take to move from pattern generation to genuine understanding. This episode was recorded live at IWAI 2025, where researchers from around the world gathered to advance Active Inference as a foundational framework for intelligence in neuroscience, robotics, and artificial systems. Topics covered in this video include: ·     Karl Friston on Active Inference and the FreeEnergy Principle ·     Karl Friston on Yann LeCun ·    Gary Marcus on the limits of large languagemodels ·     Why uncertainty is essential for intelligence ·     Agency, curiosity, and information-seekingbehavior ·     World models vs generative AI ·     Energy efficiency and sustainability in AI ·     Why scaling deep learning is not enough ·     The future of adaptive, autonomous AI systems This conversation is essential viewing for anyone interested in the future of AI, neuroscience, cognitive science, and the next generation of intelligent systems. Recorded at the International Workshop on Active Inference 2025 in Montreal, Canada. Learn more about Active Inference AI at https://aix.us.com/ #ActiveInference #KarlFriston #GaryMarcus #AIX #SeedIQ #IWAI

Key Metrics

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Pitches sent
70
From PodPitch users
Rank
#2182
Top 4.4% by pitch volume (Rank #2182 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
N/A
Written reviews (when available)
Publish cadence
N/A
Episode count
44
Data updated
Feb 10, 2026
Social followers
13K

Public Snapshot

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Country
United States
Language
EN-US
Language (ISO)
Release cadence
N/A
Latest episode date
Sat Jan 10 2026

Audience & Outreach (Public)

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Audience range
Under 4K / month
Public band
Reply rate band
Under 2%
Public band
Response time band
Private
Hidden on public pages
Replies received
Private
Hidden on public pages

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
13K
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About Spatial Web AI Podcast

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What is Spatial Web AI Podcast about?

The future of AI, and the next evolution of the internet is here: Combining the Spatial Web Protocol - HSTP and HSML, with Intelligent Agents and Active Inference AI, and the new VERSES KOSM™ OS.The mission for our channel is to highlight the accelerated progress of this new technology, providing education and resources for the coming convergence of new Smart Technology stacks, merging AI, AR, VR, IOT, and DLTs, on a common universal network, known as the Spatial Web.

How often does Spatial Web AI Podcast publish new episodes?

Spatial Web AI Podcast publishes on a variable schedule.

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