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The two models that you will hear discussed for at least the next two months - Claude Opus 4.6 and GPT 5.3 Codex - just got released within 26 mins or each other. The full breakdown of around 250 pages of reports, with just the most interest moments, from the battle of which is best, Claude personhood, the surprising misbehaviour of Opus 4.6, and much more
https://assemblyai.com/aiexplained
Check out my fast-growing (!) app, free to use, and code INSIDER15 for Pro: https://lmcouncil.ai
AI Insiders ($9): https://www.patreon.com/AIExplained
Chapters:
00:00 - Introduction
00:54 - Self-improvement?
02:44 - Knowledge Work
05:30 - Overly agentic behaviour
09:12 - Who Shouldn’t Use Claude Opus
11:39 - Step-change?
15:09 - Claude’s ‘Personhood’
Hassabis Roadmap: https://www.patreon.com/posts/hassabis-roadmap-149750869
Release of Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6
212 Page System Card: https://www-cdn.anthropic.com/0dd865075ad3132672ee0ab40b05a53f14cf5288.pdf
Claude Code Tip: https://x.com/bcherny/status/2019475897691124107
GPT Codex 5.3: https://openai.com/index/introducing-gpt-5-3-codex/
System Card: https://openai.com/index/gpt-5-3-codex-system-card/
Browse Comp: https://arxiv.org/pdf/2504.12516v1
Finance Agent: https://www.vals.ai/benchmarks/finance_agent
Terminal Bench 2: https://arxiv.org/pdf/2601.11868
Vending Bench: https://andonlabs.com/blog/opus-4-6-vending-bench
My X post: https://x.com/AIExplainedYT/status/2016851303436095647
Anthropic Apology: https://x.com/ch402/status/2014066134194995256/photo/1
Altman rebuttal: https://x.com/sama/status/2019139174339928189
https://x.com/sama/status/2019140276246442089
4% of GitHub: https://x.com/dylan522p/status/2019490550911766763
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
Anthropic's CEO, who has consistently predicted transformative AI will arrive before 2030, recently published a nearly 20,000-word essay outlining his vision of where AI is heading. The video gives you the highlights. The essay argues that scaling and recursion will advance AI from coding automation to full engineering automation, while warning of economic displacement within 1-2 years and China's trajectory toward AI-enabled totalitarianism. Additionally, Dario Amodei predicts that AI models will increasingly be understood as collections of distinct personas rather than monolithic systems.
80,000 Hours: https://www.youtube.com/watch?v=B54EQiuO1UU
Check out my fast-growing (!) app, free to use, and code INSIDER15 for Pro: https://lmcouncil.ai
AI Insiders ($9!): https://www.patreon.com/AIExplained
Chapters:
00:00 - Introduction
01:10 - Scaling to software engineers
06:11 - Permanent Underclass
10:18 - Totalitarian Nightmares
16:38 - Collection of Personas
Essay: https://www.darioamodei.com/essay/the-adolescence-of-technology
Physics Prediction: https://www.quantamagazine.org/is-particle-physics-dead-dying-or-just-hard-20260126/
Axios: https://www.axios.com/2025/05/28/ai-jobs-white-collar-unemployment-anthropic
World GDP: https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?end=2024&start=1961&view=chart
Demis Hassabis Counter: https://www.youtube.com/watch?v=q6fq4_uP7aM
Karpathy 80%: https://x.com/karpathy/status/2015883857489522876
Machines of Loving Grace: https://www.darioamodei.com/essay/machines-of-loving-grace
Anthropic LessWrong: https://www.lesswrong.com/posts/5aKRshJzhojqfbRyo/unless-its-governance-changes-anthropic-is-untrustworthy#1__In_private__Dario_frequently_said_he_won_t_push_the_frontier_of_AI_capabilities__later__Anthropic_pushed_the_frontier
Original Constitution: https://www.anthropic.com/news/claudes-constitution
New Constitution: https://www.anthropic.com/constitution
Kimi K2.5: https://x.com/Kimi_Moonshot/status/2016024049869324599
Societies of Thought, Google DeepMind Paper: https://arxiv.org/pdf/2601.10825
https://lmcouncil.ai/benchmarks
https://www.patreon.com/posts/our-new-age-of-133960279
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
A new tool, with code written by an AI model, has gone omega-viral: Claude Cowork. But is the hype justified? What do the stats say on productivity? Where is the truth in a sea of noise? What is truth? Can we handle the truth? Where's Nemo?
https://matsprogram.org/s26-aie
Check out my new app! https://lmcouncil.ai
AI Insiders ($9!): https://www.patreon.com/AIExplained
Chapters:
00:00 - Introduction
01:12 - Claude Cowork
06:48 - Productivity Speed-up + jobs
09:33 - Comparing Models
12:00 - Brittle AI Paper
Cowork Intro: https://x.com/claudeai/thread/2010805682434666759
'All of it': https://x.com/bcherny/status/2010813886052581538
'AGI' Claims: https://x.com/deepfates/status/2004994698335879383
Douglas Interview: https://www.youtube.com/watch?v=TOsNrV3bXtQ&t=2313s
Job Stats: https://www.oxfordeconomics.com/wp-content/uploads/2026/01/Evidence-of-an-AI-driven-shakeup-of-job-markets-is-patchy.pdf
Amodei Prediction: https://fortune.com/2025/05/28/anthropic-ceo-warning-ai-job-loss/
GenAI Traffic: https://x.com/demishassabis/status/2009075877347512545
Illusion of Insight: https://arxiv.org/pdf/2601.00514
Entropy Exploration: https://arxiv.org/pdf/2506.14758
ProRL: https://arxiv.org/pdf/2505.24864
Genesis Mission: https://www.whitehouse.gov/presidential-actions/2025/11/launching-the-genesis-mission/
https://deepmind.google/blog/how-were-supporting-better-tropical-cyclone-prediction-with-ai/
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
It’s probably not possible to satisfactorily condense a 12 month’s worth of weird progress in AI, as well as predictions for the year to come, into one video. But I’m gonna try anyway because it has been a very strange time.
http://matsprogram.org/s26-aie
My new app! https://lmcouncil.ai
Patreon Interview: https://www.patreon.com/posts/robot-in-your-27-146376094
Chapters:
00:00 - Introduction
00:34 - Reasoning Models … and limits
02:54 - A playable world
03:36 - Realism
03:50 - AI Slop gone mainstream
05:03 - DolphinGemma
05:39 - Public Mood
07:34 - AI Enlisted
08:30 - GPT-5
11:05 - Open Weight not out
13:00 - METR Breakout
17:30 - VASA-1
18:28 - Lateral Productivity
20:15 - 1 or 1000 benchmarks needed?
24:54 - Continual Learning + Altman on Superintelligence
28:08 - Automated Information Discovery ft AlphaEvolve
Hassabis on Generality: https://x.com/demishassabis/status/2003097405026193809
https://www.youtube.com/watch?v=PqVbypvxDto
Gemini 3: https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini_3_table_final_HLE_Tools_on.gif
Reasoning Trade-offs: https://arxiv.org/pdf/2504.13837
DolphinGemma: https://blog.google/technology/ai/dolphingemma/?s=09
Genie 3: https://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/
METR Time Horizon: https://arxiv.org/pdf/2503.14499
https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/
Flaws: https://x.com/ShashwatGoel7/status/2002369517499105443
https://shash42.substack.com/p/how-to-game-the-metr-plot
https://x.com/METR_Evals/status/2002203627377574113
GPT-5 - Altman phd in everything: https://edition.cnn.com/2025/08/14/business/chatgpt-rollout-problems
https://simple-bench.com/
AI Slop: https://www.youtube.com/watch?v=I_3vxoJDD9k
https://www.theguardian.com/technology/2025/dec/16/boost-for-artists-in-ai-copyright-battle-as-only-3-per-cent-back-uk-active-opt-out-plan
Survey: https://x.com/SearchlightInst/status/2001057144842387920/photo/1
Nvidia Nemotron: https://x.com/percyliang/status/2000608134205985169
OpenAI Compute Flywheel: https://x.com/OpenAI/status/2001363007209914399/photo/1
Altman Interview: https://www.youtube.com/watch?v=2P27Ef-LLuQ
AI in Govt: https://x.com/jdcmedlock/status/1939814516503847259
Benchmark Gaming: https://techcrunch.com/2025/04/07/meta-exec-denies-the-company-artificially-boosted-llama-4s-benchmark-scores/
AlphaEvolve: https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/
https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf?utm_source=deepmind.google&utm_medium=referral&utm_campaign=gdm&utm_content=
Continual Learning: https://abehrouz.github.io/files/NL.pdf
Job Risk: https://archive.ph/20250708204527/https://www.axios.com/2025/05/28/ai-jobs-white-collar-unemployment-anthropic
GPT4o: https://x.com/AISafetyMemes/status/1916889492172013989
Vasa-1: https://www.microsoft.com/en-us/research/project/vasa-1/
Three Views: https://www.lesswrong.com/posts/K2D45BNxnZjdpSX2j/ai-timelines
Turing Test: https://x.com/tunguz/status/1907185471211422147
Karpathy Year in Review: https://karpathy.bearblog.dev/year-in-review-2025/
LLM Brainrot: https://arxiv.org/pdf/2510.13928
Lateral Productivity: https://www.aisi.gov.uk/frontier-ai-trends-report
Emotional Quotient: https://arxiv.org/pdf/2511.08394
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
AI Insiders ($9!): https://www.patreon.com/AIExplained
The condensed highlights of hours of AI lab leader interviews, 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/
Full GPT-5.2 breakdown - did OpenAI reclaim the crown? A story of tokens, time and cost, plus 9 details you wouldn’t get just from reading the headlines.
https://www.youtube.com/@eightythousandhours
AI Insiders ($9!): https://www.patreon.com/AIExplained
https://lmcouncil.ai
Chapters:
00:00 - Introduction
00:55 - Better than Human @ Professional Tasks?
04:42 - Test time Compute
07:05 - Benchmark Selection
09:32 - Simple Results + council comparison
13:01 - Long Context
13:52 - Self-Improvement
15:00 - 10 Years + New Models
Release Page: https://openai.com/index/introducing-gpt-5-2/
GPT 5.2 Benchmark Comparison: https://www.reddit.com/r/singularity/comments/1pka1y9/gpt52_all_20_benchmarks_rankings_and_pricing/
https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini_3_table_final_HLE_Tools_on.gif
https://lmcouncil.ai/benchmarks
Charxiv: https://charxiv.github.io/#leaderboard
GDPval: https://arxiv.org/pdf/2510.04374
My vid: https://www.youtube.com/watch?v=oK5LxMaROSA
Kilpatrick: https://x.com/OfficialLoganK/status/1999270402712023158/photo/1
Noam Brown: https://x.com/polynoamial/status/1999189845164667132
New Model in New Year: https://www.theinformation.com/articles/openai-developing-garlic-model-counter-googles-recent-gains?rc=sy0ihq
10 Years of OpenAI: https://openai.com/index/ten-years/
GPQA: https://x.com/idavidrein/status/1841265634170278063
ARC-AGI 1-2: https://arcprize.org/arc-agi/2/
Sunday Robotics: https://x.com/tonyzzhao/status/1991204839578300813
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
https://lmcouncil.ai
With headlines of an imminent job apocalypse, code red for ChatGPT and recursive self-improvement, at the same time as Anthropic's CEO yesterday saying we know how to scale to AGI, and Gemini 3 DeepThink out today, it is easy to get lost among the narratives and counter-narratives. So here are both, plus the facts behind them, for you to decide.
https://epoch.ai/data/data-centers
Epoch AI is the sponsor of today’s video, and my views, and those expressed in this video, do not necessarily reflect Epoch AI’s views in any way.
Chapters:
00:00 - Introduction
00:42 - Job Apocalypse?
01:45 - Scaling to AGI
04:15 - Recursive Self-Improvement Needed, or Not
09:57 - OpenAI Code Red vs Gemini 3 DeepThink vs Claude Opus 4.5
13:27 - DeepSeek Speciale vs Mistral Large v3
16:45 - Claude Soul Document
https://lmcouncil.ai/
AI Insiders ($9!): https://www.patreon.com/AIExplained
Guardian Interview: https://www.theguardian.com/technology/ng-interactive/2025/dec/02/jared-kaplan-artificial-intelligence-train-itself
MIT Study on Jobs/Tasks: https://iceberg.mit.edu/report.pdf
vs https://www.cnbc.com/2025/11/26/mit-study-finds-ai-can-already-replace-11point7percent-of-us-workforce.html
Amodei on Scaling: https://www.youtube.com/watch?v=FEj7wAjwQIk
Claude Soul Document: https://www.lesswrong.com/posts/vpNG99GhbBoLov9og/claude-4-5-opus-soul-document
Capabilities Original Stance: https://www.anthropic.com/news/core-views-on-ai-safety
Ilya Interview: https://www.dwarkesh.com/p/ilya-sutskever-2
Ricursive Intelligence: https://x.com/RicursiveAI/status/1995932204703346946
Economist Worker Usage of GenAI: https://www.economist.com/finance-and-economics/2025/11/26/investors-expect-ai-use-to-soar-thats-not-happening#selection-1409.94-1413.42
Mistral v3 Large: https://docs.mistral.ai/models/mistral-large-3-25-12
Compute Slowdown Paper: https://joel-becker.com/images/publications/forecasting_time_horizon_under_compute_slowdown.pdf
https://x.com/joel_bkr/status/1993023436541903155
METR Chart: https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/
https://www.theinformation.com/articles/openais-350-billion-computing-cost-problem?rc=sy0ihq
OpenAI Code Red: https://www.anthropic.com/news/core-views-on-ai-safety
Rocket Company: https://www.independent.co.uk/news/world/americas/sam-altman-rocket-elon-musk-spacex-b2878351.html
DeepSeek Paper: https://arxiv.org/html/2512.02556v1
DeepSeek Crowdstrike CCP: https://www.crowdstrike.com/en-us/blog/crowdstrike-researchers-identify-hidden-vulnerabilities-ai-coded-software/
https://simple-bench.com/
Patreon Post: https://www.patreon.com/c/aiexplained/posts
Robot: https://x.com/jloganolson/status/1985850115379351799
Gemini 3 Pro is out, and records fell like snowflakes in Svalbard.
No long description, chapters or links today, huge technical difficulties, including with audio, so just want to publish asap.
https://app.grayswan.ai/ai-explained
https://lmcouncil.ai
AI Insiders ($9!): https://www.patreon.com/AIExplained
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
A lot just got released in the last 36 hours, and it will all affect hundreds of millions of people. 10 details you would miss if you just read the headlines, from GPT 5.1 regressions, to how Claude hacked Govt Agencies, to SIMA 2, and Musical Turing Tests.
https://assemblyai.com/aiexplained
Chapters:
00:00 - Introduction
00:56 - GPT 5.1 Smarter?
01:47 - Some Regressions
03:22 - Sycophancy?
05:22 - Claude Auto-Hacking
06:16 - Jailbreaking through Granularity
08:22 - This Will be Re-used
09:30 - Hallucinating Hacker
09:57 - Surprisingly Neutral Tone
12:18 - SIMA 2
14:10 - Alpha Parallels
17:24 - AI Music
GPT 5.1 Announcement: https://openai.com/index/gpt-5-1/
System Card: https://cdn.openai.com/pdf/4173ec8d-1229-47db-96de-06d87147e07e/5_1_system_card.pdf
Benchmarks: https://openai.com/index/gpt-5-1-for-developers/
Simple Bench: https://lmcouncil.ai/benchmarks
Auto-Hacking: https://x.com/AnthropicAI/status/1989033793190277618
https://www.anthropic.com/news/disrupting-AI-espionage
Report: https://assets.anthropic.com/m/ec212e6566a0d47/original/Disrupting-the-first-reported-AI-orchestrated-cyber-espionage-campaign.pdf
Sima 2 Announcement: https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/
https://x.com/amoufarek/status/1988986075331858693
Scepticism: https://www.technologyreview.com/2025/11/13/1127921/google-deepmind-is-using-gemini-to-train-agents-inside-goat-simulator-3/
Voyager: https://voyager.minedojo.org/
Reuters Music: https://www.reuters.com/legal/litigation/are-you-listening-bots-survey-shows-ai-music-is-virtually-undetectable-2025-11-12/
Don’t let headlines about bubbles distract you from the real avenues of progress being explored in AI every week, including what had been thought to be a long-term blocker - continual learning (learning on the fly).
https://app.grayswan.ai/ai-explained
This, plus models introspecting (hesitate before you berate), Nano Banana 2 possibly spotted, Chinese imagen and more.
AI Insiders ($9!): https://www.patreon.com/AIExplained
Chapters:
00:00 - Introduction
01:26 - Continual Learning (Nested Learning / HOPE)
07:00 - Introspection
10:54 - Image-Gen Progress
Nested Learning Post: https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/
Nested Learning Paper: https://abehrouz.github.io/files/NL.pdf
Original Titans Paper: https://arxiv.org/pdf/2501.00663
Siri News: https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri
Introspection: https://www.anthropic.com/research/introspection
Full Paper: https://transformer-circuits.pub/2025/introspection/index.html#mechanisms
Earlier Work: https://www.anthropic.com/research/mapping-mind-language-model
https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html
Release Post: https://x.com/AnthropicAI/status/1983584136972677319
https://lmcouncil.ai
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Podcast: https://aiexplainedopodcast.buzzsprout.com/
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