Gemini Exponential, Demis Hassabis' ‘Proto-AGI’ coming, but …
The condensed highlights of hours of AI lab leader interviews, last-48-hour model releases, Gemini 3 Flash insights (plus it’s hidden flaw), Hassabis’ ‘proto-AGI’ and much more… https://matsprogram.org/apply?utm_source=ai-explained&utm_medium=youtube&utm_campaign=s26 Also, do check out my new app: https://lmcouncil.ai Chapters: 00:00 - Introduction 00:50 - Results 02:44 - But… the Flaw 04:49 - So Benchmarks are fake? No 07:37 - Spatial Reasoning + Hassabis 10:06 - Proto-AGI 12:07 - Minimal AGI 15:07 - Compute Slowdown 17:56 - New Data Paradigm Gemini 3 Flash: https://deepmind.google/models/gemini/flash/ Hassabis Interview: https://www.youtube.com/watch?v=PqVbypvxDto Legg Interview: https://www.youtube.com/watch?v=l3u_FAv33G0 Pre-training Lead Interview: https://www.youtube.com/watch?v=cNGDAqFXvew Altman Interview: https://www.youtube.com/watch?v=2P27Ef-LLuQ Brockman Video: https://x.com/OpenAI/status/2001336514786017417 Post-Training Reveal: https://x.com/OfficialLoganK/status/2001742530472534442 Hallucinations Paper: https://cdn.openai.com/pdf/d04913be-3f6f-4d2b-b283-ff432ef4aaa5/why-language-models-hallucinate.pdf Patreon Hallucinations Vid: https://www.patreon.com/posts/blockers-to-and-139264812 AA-Omniscience Benchmark: https://artificialanalysis.ai/evaluations/omniscience https://arxiv.org/pdf/2511.13029 lmcouncil.ai/benchmarks https://simple-bench.com/ https://x.com/scaling01/status/1999620587744813205 5.2 Codex Drop: https://cdn.openai.com/pdf/ac7c37ae-7f4c-4442-b741-2eabdeaf77e0/oai_5_2_Codex.pdf OpenAI Compute Trend: https://www.theinformation.com/articles/openais-350-billion-computing-cost-problem?rc=sy0ihq Cramer Tweet/Response: https://x.com/BorisMPower/status/2001440650210976018 OpenAI Valuation: https://www.theinformation.com/articles/openai-discussed-raising-tens-billions-valuation-around-750-billion?rc=sy0ihq Indian Data: https://www.reuters.com/world/india/with-freebies-openai-google-vie-indian-users-training-data-2025-12-17/ TheInformation Data: https://x.com/theinformation/status/2001421225751351778 Genie 3: https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/ Sima 2: https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/ Veo 3.1: https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/ METR: https://metr.org/blohttps://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ AI Insiders ($9!): https://www.patreon.com/AIExplained Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
