Arc AGI: benchmark motivation

Greg explains ArcAGI's focus: tasks easy for humans but hard for AI and sample-efficient learning.

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Episode notes

This year-end live show features nine rapid-fire conversations to make sense of AI’s 2025 and what might define 2026. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. Zvi Moshowitz maps the OpenAI–Anthropic–Google race, the denialism gap, and why his PDoom is still ~60–70%. Greg (ARC-AGI Prize), Eugenia Kuyda, Ali Behrouz, Logan Kirkpatrick, and Jungwon Hwang cover sample-efficient benchmarks and ARC-AGI 3, companions and human-flourishing metrics, continual-learning memory, Gemini 3 Flash for developers, and AI for scientific decisions.

Sponsors:

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CHAPTERS:

(00:00) Sponsor: Gemini 3 in Google AI Studio

(00:31) Live show experiment

(02:26) Zvi: discourse and denial

(13:28) Continual learning and doom

(22:05) ArcAGI: what's missing (Part 1)

(22:09) Sponsors: MATS | Framer

(25:28) ArcAGI: what's missing (Part 2)

(31:58) Scaffolds and tiny models

(38:58) ArcAGI 3 game worlds

(45:13) AI companions landscape (Part 1)

(45:21) Sponsors: Shopify | Tasklet