Subvolts take Goertzel champions open AGI, critiquing closed models and advocating for decentralized development. Dec 24, 2025
For you
Developers
Learn about alternative AGI development models and what true openness means beyond just code.
Business
Understand the landscape of AI development and potential decentralized infrastructure for future AI applications.
Everyday users
Gain insight into who controls AI development and the arguments for a more open and accessible future for AI.
Hype note
3/5Notable

This interview features a prominent AI researcher discussing fundamental questions about AGI development and openness.

Ben Goertzel of SingularityNET: What AGI Means Now, Open Source AI, and Compute Constraints

1 h 04 Interview Hosts: Jason Howell, Jeff Jarvis
0:001:04:25

Audio streams from Jason Howell and Jeff Jarvis. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

Ben Goertzel of SingularityNET joins AI Inside to discuss an open path to AGI. They explore what true open source means beyond code, including access to data, pipelines, and compute. The conversation covers the limitations of LLMs for AGI, the viability of open weights, and decentralized infrastructure for AI development outside major labs.

Explained simply

Ben Goertzel believes building advanced AI should be open to everyone, not just big companies. He explains why current "open" AI efforts are not truly open and what is needed for a shared path to AGI.

Why listen

This episode offers a counterpoint to the closed, proprietary AGI race dominated by frontier labs. Goertzel argues for a decentralized, open approach, detailing what that truly entails. It's for anyone concerned about AI development concentration and interested in alternative paths. Listeners will understand how current trends in LLMs and open weights might fall short of genuine AGI and how decentralized models could foster broader participation.

On the mic
  • HostJason Howell
  • HostJeff Jarvis
  • GuestBen Goertzelfounder and CEO, SingularityNET
About
Key facts
  • Guest: Ben Goertzel, founder and CEO of SingularityNET
  • Show: AI Inside
  • Length: 64 minutes
  • Goertzel's AGI timeline: Revisiting past predictions and assessing feasibility of 2029 for AGI.
  • Openness definition: Discusses what 'open source' should include beyond code: data, pipelines, and compute.
Show notes from Jason Howell and Jeff Jarvis

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at https://Your360.ai with code: INSIDE.

Ben Goertzel, founder and CEO of SingularityNET, joins us to argue for an open path to AGI. We unpack what “open source” should include beyond code, how access to training data, pipelines, and compute shapes who can actually participate, and why “open weights” can still fall short. We also ask who needs convincing, what incentives could move the market, and how decentralized infrastructure fits into his vision for building advanced AI outside a handful of mega labs.


Note: Time codes subject to change depending on dynamic ad insertion by the distributor.

CHAPTERS: 0:00 - Start 2:13 - How the definition of AGI has shifted over time, and why the term has become distorted 7:58 - The “thousand narrow AIs” future, and who builds the next specialized system 12:40 - Revisiting Goertzel’s past AGI timeline predictions, what changed by late 2025, and is 2029 still feasible for AGI? 18:42 - Whether today’s AI investment is flowing to the right bets (LLMs vs world models and beyond) 25:43 - Why Goertzel argues LLMs cannot reach AGI, and what evidence could change his mind 31:44 - What it would take to build a truly open-source path to AGI 37:18 - Open weights vs real openness: Goertzel’s take on what’s missing from current releases 43:56 - Who needs to be convinced for open AI to succeed, and how that persuasion happens 50:20 - Advice for college students preparing for an AI-shaped career landscape


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Jargon decoded
AGI
Ben Goertzel
Artificial General Intelligence, AI that can understand, learn, and apply knowledge across a wide range of tasks like a human.
LLMs
Ben Goertzel
Large Language Models, AI systems trained on vast amounts of text data, like ChatGPT.
Open weights
Ben Goertzel
When the parameters (weights) of a trained AI model are made publicly available, allowing others to use or modify them.
Published
Show
AI Inside · Jason Howell and Jeff Jarvis
Length
1 h 04
Companies
OpenAI, Google, Anthropic, Microsoft, Meta, xAI
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Questions people ask

What is Ben Goertzel's vision for AGI?
Goertzel advocates for an open, decentralized path to AGI, arguing against the concentration of development within a few mega labs.
Why does Goertzel believe LLMs cannot reach AGI?
The episode unpacks Goertzel's arguments that large language models alone are insufficient for achieving AGI and explores what evidence might change his mind.

Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Jason Howell and Jeff Jarvis.