AMA Part 2: Is Fine-Tuning Dead? How Am I Preparing for AGI? Are We Headed for UBI? & More!

This AMA episode tackles whether fine-tuning is really on the way out, what emergent misalignment experiments reveal about safety, and how far continual learning should go. Nathan shares timelines for job disruption, why UBI may be inevitable, and how he’s personally preparing and investing for AGI. He also discusses early AI literacy for kids, practical ways to talk about AI with ‘normal people,’ and what tools and models are actually winning in the wild, plus an emotional update on his son’s treatment.

SPONSORS:
Blitzy: Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at https://blitzy.com

MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build

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 four 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) Ernie cancer update
(04:57) Is fine-tuning dead (Part 1)
(12:31) Sponsors: Blitzy | MongoDB
(14:57) Is fine-tuning dead (Part 2) (Part 1)
(26:56) Sponsors: Serval | Tasklet
(29:15) Is fine-tuning dead (Part 2) (Part 2)
(29:16) Continual learning cautions
(34:59) Talking to normal people
(39:30) Personal risk preparation
(49:59) Investing around AI safety
(01:00:39) Early childhood AI literacy
(01:08:55) Work disruption timelines
(01:27:58) Nonprofits, need, and UBI
(01:34:53) Benchmarks, AGI, and embodiment
(01:47:30) AI tooling and platforms
(01:57:01) Discourse norms and shaming
(02:05:50) Location and safety funding
(02:15:17) Turpentine deal and independence
(02:24:19) Outro

PRODUCED BY:
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Website: https://www.cognitiverevolution.ai
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