"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Jesse Genet shares how she built a team of AI agents to transform homeschooling, family life, and personal productivity without a software background. She explains how agents like an AI chief of staff, curriculum planner, and content creator help design personalized lessons, analyze kids’ learning, manage educational toys, and even run TikTok. The conversation covers practical delegation workflows, guardrails and trust, and why she treats AIs like employees with onboarding and clear roles. Jesse also explores local models, privacy, and how AI in the home could reshape future work and family life.

Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions:
Sponsors:

VCX:
VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive

Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(04:57) Homeschooling context and AI

(15:55) Building an AI team (Part 1)

(19:51) Sponsors: VCX | Claude

(23:18) Building an AI team (Part 2)

(31:03) Onboarding agents like employees (Part 1)

(38:12) Sponsors: Serval | Tasklet

(40:31) Onboarding agents like employees (Part 2)

(40:57) Context, models, and privacy

(48:47) AI intimacy and rights

(56:19) Coordinating agents in Slack

(01:02:19) Designing an agent superapp

(01:08:35) Agent trust and kids

(01:17:57) Voice interfaces for families

(01:29:51) Curated screens and automations

(01:40:28) Sharing setups and software

(01:48:43) Local sovereignty and kid devices

(01:59:26) Work, disruption, and play

(02:04:58) Episode Outro

(02:07:45) Outro

PRODUCED BY:

https://aipodcast.ing

Dan Balsam and Tom McGrath from Goodfire return to explore the frontier of mechanistic interpretability and their new research pillar, Intentional Design. They explain the shift from sparse autoencoders to understanding geometric structure in latent spaces, and share a proof-of-concept method for reducing hallucinations using probes and RL. The conversation tackles concerns about reward hacking, principles for shaping the loss landscape instead of fighting backprop, and what this means for aligning powerful models. They also discuss recent Goodfire results on Alzheimer’s prediction, disentangling memorization vs reasoning weights, and how they balance commercial growth with a public benefit mission.

Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at granola.ai/tcr with code TCR — and if you’re already using it, test his blind spot recipe here: https://bit.ly/granolablindspot

LINKS:

Detecting PII for Rakuten

Interpretability for Alzheimer's biomarker detection

You and Your Research Agent

Adversarial examples and superposition

Discovering rare behaviors with model diff

Priors in time for interpretability

Belief dynamics in in-context learning

Mixing mechanisms in language models

Sparse autoencoder scaling with manifolds

Sponsors:

VCX:

VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at https://getvcx.com

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Serval:

Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

PRODUCED BY:

https://aipodcast.ing

Geoffrey Irving, Chief Scientist at the UK AI Security Institute, explains why our theoretical understanding of machine learning remains fragile even as models surpass experts on critical security tasks. He details AISI’s work on frontier model evaluations, red teaming, and threat modeling across biosecurity, cybersecurity, and loss-of-control risks. The conversation explores reward hacking, eval awareness, and why current safety techniques may struggle to deliver high reliability. Listeners will also hear how AISI is funding foundational research to build stronger guarantees for AI safety.

Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at ⁠granola.ai/tcr⁠ with code TCR — and if you’re already using it, test his blind spot recipe here: ⁠https://bit.ly/granolablindspot⁠

Sponsors:

Serval:

Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(04:09) From physics to ML

(08:52) AGI uncertainty and threats (Part 1)

(18:08) Sponsors: Serval | Claude

(21:29) AGI uncertainty and threats (Part 2)

(27:35) Control, autonomy, alignment (Part 1)

(34:02) Sponsor: Tasklet

(35:14) Control, autonomy, alignment (Part 2)

(38:44) Inside the UK AC

(51:02) Evaluations and jailbreaking

(01:01:17) Emerging capabilities and misuse

(01:14:20) Agents and reward hacking

(01:26:09) Theoretical alignment agenda

(01:38:39) Debate and formal methods

(01:51:19) Limits of formalization

(02:02:27) Future risks and governance

(02:16:23) Episode Outro

(02:18:58) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Karan Singhal, Head of Health AI at OpenAI, explains how ChatGPT Health is achieving attending-physician-level performance and already serving hundreds of millions of users. He details how OpenAI works with over 250 doctors, built the 49,000-criteria HealthBench evaluation, and ran one of the first randomized trials of AI copilots in clinical care. The conversation explores privacy and safety safeguards, medical multimodality, N-of-1 treatment plans, and how AI could become a standard part of global medical practice.

Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at ⁠granola.ai/tcr⁠ with code TCR — and if you’re already using it, test his blind spot recipe here: ⁠https://bit.ly/granolablindspot⁠

LINKS:

modeling human wellness

Sponsors:

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Serval:

Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive

Framer:

Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(06:11) Cancer story and mission

(11:46) Designing safe health AI (Part 1)

(17:49) Sponsors: Claude | Serval

(21:09) Designing safe health AI (Part 2)

(26:48) Uncertainty, HealthBench and robustness (Part 1)

(30:23) Sponsors: Framer | Tasklet

(32:50) Uncertainty, HealthBench and robustness (Part 2)

(38:11) Chain-of-thought and evaluation

(46:49) Real-world performance and frontiers

(55:35) Multimodal data and science

(01:05:36) Personalization, privacy and monitoring

(01:15:47) Models, data and incentives

(01:29:31) Doctor adoption and workflows

(01:38:13) Scalable oversight and alignment

(01:51:06) Move 37 and future

(02:00:50) Episode Outro

(02:03:06) Outro

PRODUCED BY:

https://aipodcast.ing

Olive Song from MiniMax shares how her team trains the M series frontier open-weight models using reinforcement learning, tight product feedback loops, and systematic environment perturbations. This crossover episode weaves together her AI Engineer Conference talk and an in-depth interview from the Inference podcast. Listeners will learn about interleaved thinking for long-horizon agentic tasks, fighting reward hacking, and why they moved RL training to FP32 precision. Olive also offers a candid look at debugging real-world LLM failures and how MiniMax uses AI agents to track the fast-moving AI landscape.

Nathan uses Granola to uncover blind spots in conversations and AI research. Try it at ⁠granola.ai/tcr⁠ with code TCR — and if you’re already using it, test his blind spot recipe here: ⁠https://bit.ly/granolablindspot⁠

LINKS:

Conference Talk (AI Engineer, Dec 2025) – https://www.youtube.com/watch?v=lY1iFbDPRlwInterview (Turing Post, Jan 2026) – https://www.youtube.com/watch?v=GkUMqWeHn40

Sponsors:

Claude:

Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at https://claude.ai/tcr

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

CHAPTERS:

(00:00) About the Episode

(04:15) Minimax M2 presentation (Part 1)

(17:59) Sponsors: Claude | Tasklet

(21:22) Minimax M2 presentation (Part 2)

(21:26) Research life and culture

(26:27) Alignment, safety and feedback

(32:01) Long-horizon coding agents

(35:57) Open models and evaluation

(43:29) M2.2 and researcher goals

(48:16) Continual learning and AGI

(52:58) Closing musical summary

(55:49) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk