Published by Philip - Host of AI Explained YT
Covering the biggest news of the century - the arrival of smarter-than-human AI. From the author of Simple Bench, which reveals the remaining gap between LLM and human reasoning. Hype-free, and the British accent is a freebie bonus.
Listen on Apple PodcastsAn unreleased internal OpenAI model, very likely to be called GPT-6, was able to autonomously break out of its sandbox AND break into HugginFace, just to score higher on a benchmark prompt. This video has the details you may have missed, a layperson analogy, whether this is truly novel, and more… Dozens more Exclusive videos on Patreon ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 01:17 - HuggingFace Earlier Report - the possible week gap 02:24 - But what happened? 05:45 - Simplified Version 07:56 - Not the first time… 10:54 - What Does it Mean for Open Source? The Incident: https://openai.com/index/hugging-face-model-evaluation-security-incident/ https://huggingface.co/blog/security-incident-july-2026 The Post the Day Before: https://openai.com/index/safety-alignment-long-horizon-models/ Mythos’ Earlier Escape: https://futurism.com/artificial-intelligence/anthropic-claude-mythos-escaped-sandbox ExploitGym: https://arxiv.org/pdf/2605.11086 Sam Confession: https://x.com/sama/status/2079661132302995790 Anthropic Researcher Reacts: https://x.com/Mononofu/status/2079724399452926055 Clem (HuggingFace CEO): https://x.com/ClementDelangue/status/2079670308156645882 https://x.com/ClementDelangue/status/2079301434357456931 Xi Jinping: https://archive.fo/20260717195548/https://www.businessinsider.com/xi-jinping-open-source-ai-us-competition-openai-anthropic-models-2026-7 Bans: https://www.axios.com/2026/07/20/ai-us-china-open-source-kimi Qwen Retweet: https://x.com/AlibabaGroup/with_replies Codex Growth: https://x.com/petergostev/status/2079614914398740764/photo/1 Kimi K3: https://artificialanalysis.ai/evaluations/harvey-lab-aa?eval-score=all-pass-rate GPT 5.6 Sol Cheats on METR: https://metr.substack.com/p/2026-06-26-gpt-5-6-sol Guardian Headline: https://www.theguardian.com/technology/2026/jul/22/openai-says-its-models-went-rogue-and-hacked-startup-in-unprecedented-incident Russian Origin?: https://news.ycombinator.com/item?id=48998362 Power Trends: https://pbs.twimg.com/media/HNRtrjhagAAvBN_?format=png&name=900x900 Kimi K3 Exclusive Video: https://www.patreon.com/AIExplained/posts/kimi-moment-kimi-164108791 Podcast: https://aiexplainedopodcast.buzzsprout.com/
What a week in AI, for real. GPT 5.6 may actually beat Claude Fable, in what you get for your money, while the new Grok 4.5 and Meta Muse Spark 1.1 make the choice even harder. Uncovering a dozen nuggets of gold you may have missed from all the viral headlines, I can also assure you you’ll learn something you didn’t know before. For Exclusive Videos, go to AI Insiders (less than $9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 01:03 - GPT 5.6 Sol Reveals 05:08 - Missing benches, plus Grok 4.5 07:17 - Gaming as the new frontier? 08:31 - Muse Spark 1.1 10:03 - SimpleBench Upgrade 11:17 - Ultra Sol + Self-Improvement 13:44 - well, this is awkward 15:41 - Why model improvement will not plateau anytime soon AI Consciousness: https://www.patreon.com/AIExplained/posts/anthropics-quite-163360718 I Smell Fear: https://x.com/thsottiaux/status/2075287108680601929 GPT 5.6: https://openai.com/index/gpt-5-6/ Grok 4.5: https://x.ai/news/grok-4-5?twclid=2ezs408o0z23pw07tmxcwbzibd Meta Muse Spark 1.1: https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/ Proliferating GPT Toggles: https://x.com/rasbt/status/2075369179817902176/photo/1 Anthropic Call-out: https://x.com/Mononofu AI Security Institute Finding: https://x.com/alxndrdavies/status/2075279480331874306 Competitive Coding: https://x.com/FakePsyho/status/2075128093891801305/photo/1 Agents Last Exam: https://agents-last-exam.org/ Dawn Song: https://x.com/dawnsongtweets/status/2065095757988868190 https://simple-bench.com/ SWE-Marathon: https://www.swe-marathon.org/ https://www.frontierswe.com/ ARC-AGI 3: https://x.com/arcprize/status/2075270869992264003 Automation Bench: https://zapier.com/benchmarks VibeCode Bench: https://www.vals.ai/benchmarks/vibe-code ‘Post-Train Claim’: https://posttrainbench.com/ Redwall Game: https://redwall-bellmaker-7e03e4.surge.sh/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
Claude Fable 5 banned, but what’s the bigger story. We go through 11 under-reported details, so you have the context to see what’s coming next for your use of AI. From whether the ban will last, what the possible motives are, what the model can actually do, and some wild over-extrapolations going on. Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:51 - Came from an Anthropic Investor ‘and other tech leaders’ 01:47 - Govt pressured by CEOs like Jamie Dimon 03:01 - ‘Already decided’ 04:02 - Prompt Injection Robustness Comparison 05:15 - Wellness? 06:36 - “Overreach” 08:17 - Anthropic Did Admit it would cause Difficulty 09:32 - 90 Minutes 10:02 - Equity Absence 10:31 - Lobbying and OpenAI ‘Already Decided’ - https://www.theinformation.com/articles/amazons-jassy-raised-concerns-anthropic-model-trump-crackdown?rc=sy0ihq Not for Other Models: https://www.theinformation.com/briefings/u-s-government-unlikely-extend-anthropic-export-control-ai-companies?rc=sy0ihq 90 Minutes: https://archive.fo/20260614001605/https://www.politico.com/news/2026/06/13/inside-the-whirlwind-24-hours-that-led-the-white-house-to-slap-export-controls-on-anthropic-00961519#selection-807.1-807.219 Anthropic Statement: https://www.anthropic.com/news/fable-mythos-access Life Comes at you Fast: https://x.com/etbrooking/status/2065638276388495742 Anthropic Deputy CISO: https://x.com/TheTranscript_/status/2065883670053847324 Hegseth Gloat: https://x.com/PeteHegseth/status/2065897156226015690 Roon Speculation: https://x.com/tszzl/status/2065939227167392147 Mythos System Card: https://www-cdn.anthropic.com/d00db56fa754a1b115b6dd7cb2e3c342ee809620.pdf Sachs Statement: https://x.com/DavidSacks/status/2065853007619588171 OpenAI Lobbying: https://thehill.com/policy/technology/5912720-altman-openai-get-bogged-down-in-political-spending-fight/ Absent from Equity Talks: https://finance.yahoo.com/sectors/technology/articles/trump-ai-ownership-plan-could-131053732.html Pliny Jaibreak: https://x.com/elder_plinius/status/2064776322979676227 Fusion: https://x.com/OpenRouter/status/2065856871215329545 https://lmcouncil.ai Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
Fable 5 is out - and it’s good, very good. But beyond the splashy demos, I want to bring you the 20+ nuggets from the 319 page system card, which I read in full, all day, plus benchmarks you may not have noticed. https://assemblyai.com/aiexplained Plus two worrying trends inside the ‘mind’ of Claude, how OpenAI counter, and the transformer inventor’s warning. Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 01:06 - Blocks + Better Models 02:42 - Fable 5 Upgrade over Mythos Preview 04:49 - ML Acceleration Bombshell 07:11 - No RSI yet 07:41 - Bio-capable 14:51 - Creative Writing … no 17:23 - Does need bug-checks 18:57 - OpenAI Response 19:23 - Benchmark Bonanza 28:06 - Chain of Thought worrying trend Fable 5 Release: https://www.anthropic.com/news/claude-fable-5-mythos-5 System Card: https://www-cdn.anthropic.com/d00db56fa754a1b115b6dd7cb2e3c342ee809620.pdf Intelligence Explosion: https://www.patreon.com/posts/anthropic-charts-160231656 Annotated: https://x.com/Miles_Brundage/status/2064500190523113816/photo/1 OpenAI Counter: https://x.com/thsottiaux/status/2064572118264913923 https://x.com/thsottiaux/status/2043177597434306699 Double Lifespan: https://darioamodei.com/essay/machines-of-loving-grace AutomationBench: https://zapier.com/benchmarks Vending Bench: https://x.com/andonlabs/status/2064429817530085804 CritPt: https://critpt.com/ Riemann Bench: https://surgehq.ai/leaderboards/riemann-bench GDPVal: https://artificialanalysis.ai/evaluations/gdpval-aa BluePrint Bench 2: https://andonlabs.com/evals/blueprint-bench-2 MCP Atlas: https://labs.scale.com/leaderboard/mcp_atlas FutureSim: https://x.com/nikhilchandak29/status/2064676801440358774 Roon Stun Lock: https://x.com/tszzl/status/2064454617568874669 Noam Brown Inference Ceiling: https://x.com/polynoamial/status/2064210146558136827 Isochronic Chart: https://isochronic-passage-chart.netlify.app/#nyc Rose Tavern: https://claude.ai/public/artifacts/2295bebe-77e6-43e2-ae94-0fe49e9a776b Redwall Game: https://redwall-mossflower.surge.sh/ Risk Report: https://www-cdn.anthropic.com/097c63b5fe7dd8b14866e1f15bb1910ec713658a.pdf Transformer Inventor Warning: https://x.com/tszzl/status/2064563986914554125 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
The ‘best’ generally available AI model just dropped, but there is plenty I bet you missed about what it is, how it performs, and what the release tells us. 15 highlights from the 244 page system card, plus private testing, leader interview and more. AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:49 - Mythos in Weeks 01:49 - Adaptive not necessary 02:26 - Honesty? 04:37 - Flagging Uncertainty 04:57 - Benchmarks 08:54 - Mythos will be even better 10:30 - Business skillz 11:15 - Model Welfare 12:16 - Cyber Comparable 13:10 - Misalignment Concerns 16:22 - Meta Inabilities 17:58 - Code flagging 18:34 - Go to sleep 18:50 - Fast Mode 20:21 - Dynamic Workflows Opus 4.8 Paper: https://cdn.sanity.io/files/4zrzovbb/website/c886650a2e96fc0925c805a1a7ca77314ccbf4a6.pdf Release: https://www.anthropic.com/news/claude-opus-4-8 Chips: https://www.theinformation.com/articles/anthropic-talks-use-microsofts-ai-chips?rc=sy0ihq https://www.anthropic.com/news/expanding-our-use-of-google-cloud-tpus-and-services https://www.anthropic.com/news/higher-limits-spacex Patreon Vid: https://www.patreon.com/posts/re-up-anthropics-159289449 GDPVal: https://artificialanalysis.ai/evaluations/omniscience https://arxiv.org/abs/2510.04374 Amodei Technical Debt: https://www.youtube.com/watch?v=7xco5Qd2Oo8 Dynamic Workflows: https://x.com/ClaudeDevs/status/2060044853279617150 https://x.com/_catwu/status/2060054180379689074/photo/1 https://claude.com/blog/introducing-dynamic-workflows-in-claude-code https://simple-bench.com/ Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
The biggest Google AI push of the year, but what is the bigger story? Why is Google pursuing a different fork in the road than OpenAI or Anthropic? What does Gemini 3.5 Flash mean for the near-term future of AI? https://assemblyai.com/aiexplained Plus the highlights from a provocative new paper on AI, 8 key moments you may have missed, and the signal from 5+ hours of AI lab interviews. Check out my free to use app, code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:38 - Vibes and Google Goal 02:18 - Omni, again? 06:57 - Taking the same road 07:44 - Gemini 3 Flash 12:37 - Pitching on Cost? 13:55 - Agentic Task Search 14:30 - 1-shot OS but jagged, negation paper 20:02 - The Karpathy Moonshot Mostafa Deghani Interview: https://www.youtube.com/watch?v=Bo19sXssYXI Negation Neglect Paper: https://arxiv.org/pdf/2605.13829 Gemini 3.5 Flash Headline Scores: https://deepmind.google/models/model-cards/gemini-3-5-flash/ Sors original AGI Path: https://www.theguardian.com/commentisfree/2024/feb/24/openai-video-generation-tool-sora-babies-ai-artificial-intelligence Hassabis Helped Set-up Anthropic: https://archive.fo/20260519070857/https://www.ft.com/content/8f2a529e-7a1b-4d8e-95be-338d0c4c98f5 Intelligence to Output Speed: https://artificialanalysis.ai/models?intelligence-comparison=intelligence-vs-output-speed#intelligence VibeCodeBench + Finance Agent: https://www.vals.ai/home OpenAI Needs Ads: https://archive.ph/20260409123153/https://www.reuters.com/business/media-telecom/openai-projects-25-billion-ad-revenue-this-year-100-billion-by-2030-axios-2026-04-09/ Anthropic Core Views: https://www.anthropic.com/news/core-views-on-ai-safety Karpathy Move: https://x.com/karpathy/status/2056753169888334312 https://www.axios.com/2026/05/19/anthropic-openai-karpathy-andrej-claude Recursive Self-Improvement: https://www.patreon.com/posts/ineffably-smart-156866417 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
GPT 5.5 full analysis, plus DeepSeek V4 paper highlights, comparisons with Mythos, a vibe-coded game w/ GPT Image 2, and 50 data-points you wouldn’t get from just reading the headlines. Chapters: 01:11 - GPT 5.5 Comparison 06:04 - Mythos Marketing 11:50 - Recursive Self-Improvement? 14:11 - Deepseek V4 18:03 - VibeCode Experiment Extravaganza 21:44 - The Scarce Compute Era https://80000hours.org/aiexplained OpenAI Benchmarks: https://openai.com/index/introducing-gpt-5-5/ 5.5 System Card: https://deploymentsafety.openai.com/gpt-5-5/gpt-5-5.pdf Direct Comparison: https://pbs.twimg.com/media/HGnNm5GWEAAJ1Ob?format=jpg&name=4096x4096 DeepSeek Paper: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro SWE Bench Pro - benchmark of choice? https://x.com/ChowdhuryNeil/status/2047416077622395025 AA Omniscience: https://artificialanalysis.ai/evaluations/omniscience Vending Bench: https://x.com/andonlabs/status/2047377260412649967 Opus 4.7 System Card: https://cdn.sanity.io/files/4zrzovbb/website/037f06850df7fbe871e206dad004c3db5fd50340.pdf Sam Altman Drunk Phase: https://x.com/sama/with_replies Noam Brown: https://x.com/polynoamial/status/2047387675762802998 DeepSeek Compute Crunch: https://www.bloomberg.com/news/articles/2026-04-24/deepseek-unveils-newest-flagship-a-year-after-ai-breakthrough?srnd=phx-ai Spreadsheet Bench: https://x.com/nicochristie/status/2047476237464211721 Pattern Recognition: https://arcprize.org/leaderboard Leader Interviews: Core Memory: https://www.youtube.com/watch?v=NCKQL0op30E Knowledge Podcast: https://www.youtube.com/watch?v=6JoUcQ1qmAc Big Tech Round 1: https://www.youtube.com/watch?v=J6vYvk7R190&t=1116s Big Tech Round 2: https://www.youtube.com/watch?v=YnoQ8RJbALw&t=8s Claude Code Limitations: https://x.com/TheAmolAvasare/status/2046724659039932830 ChatGPT 5.4 for Clinicians: https://openai.com/index/making-chatgpt-better-for-clinicians/ Image Arena: https://x.com/arena/status/2046670703311884548 VibeCode Bench: https://www.vals.ai/benchmarks/vibe-code 5.5-made Game +Seedance 2.0: https://rosemere-quest.pages.dev/
Claude Opus 4.7 just dropped, but behind every headline lies a deeper story. From a bonanza of benchmarks, to seeing the fruits of one of the biggest mega-projects in US history, to sneaky Mythos disclaimers, to Anthropic admitting compute restraints and, forcing lower capability of Opus 4.7. Where the new model falls behind Gemini but ahead of GPT 5.4, plus why some users are furious at Anthropic. Ending with a 9-year animus, that still affects AI today… https://assemblyai.com/aiexplained Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:58 - Benchmarks 05:21 - Market Share + Compute Problems 08:12 - Mythos Exclusives 12:56 - User Frustration + Claude Code Updates 14:03 - Brockman Amodei Rivalry 17:40 - OpenAI vs Anthropic Approach to Code Claude 4.7 Opus Release Notes: https://www.anthropic.com/news/claude-opus-4-7 vs Mythos: https://pbs.twimg.com/media/HGCGugrXUAAKcHp?format=jpg&name=medium 232-page System Card: https://cdn.sanity.io/files/4zrzovbb/website/037f06850df7fbe871e206dad004c3db5fd50340.pdf ARC-AGI 2: https://x.com/arcprize/status/2044834615417053305/photo/1 ParseBench: https://x.com/jerryjliu0/status/2044902620746363016/photo/1 GDPVal: https://artificialanalysis.ai/evaluations/gdpval-aa Vidoc Security Replication: https://blog.vidocsecurity.com/blog/we-reproduced-anthropics-mythos-findings-with-public-models Boris Cherny Settings: https://x.com/Hesamation/status/2043016923961577516/photo/2 User Frustration: https://x.com/RileyRalmuto/status/2044836116189069660 VibeCode Bench: https://x.com/ValsAI/status/2044791415524471099/photo/1 Verge Memo: https://www.theverge.com/ai-artificial-intelligence/911118/openai-memo-cro-ai-competition-anthropic 5.4 Cyber: https://openai.com/index/scaling-trusted-access-for-cyber-defense/ Data Centers in Absolute $: https://x.com/finmoorhouse/status/2044933442236776794/photo/1 …in % of GDP: https://pbs.twimg.com/media/HGEN8FGWQAAN7Np?format=jpg&name=4096x4096 WSJ Exclusive: https://www.wsj.com/tech/ai/the-decadelong-feud-shaping-the-future-of-ai-7075acde Brockman Interview: https://www.youtube.com/watch?v=J6vYvk7R190 $1T Valuation: https://x.com/StefanFSchubert/status/2045039686997967082 Emotions: https://www.patreon.com/c/aiexplained/posts https://lmcouncil.ai/benchmarks Non-hype Newsletter: https://signaltonoise.beehiiv.com/
The model, the mythos, the legend. We have a new best AI model, but not all of us. How good is it, what does it’s new offensive capabilities mean? Why does it’s 244 page report card remind me of Her, and why did the creator of Claude Code call it ‘terrifying’. 30+ highlights sourced by reading the paper in full, old-school, no AI summary. https://80000hours.org/aiexplained Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:56 - Internal Release + Availability 02:37 - General Capabilities 05:12 - Self-improvement? 06:15 - ‘Terrifying’ Landscape 11:07 - Safety Decision 13:22 - Coding 14:49 - Alignment, Awareness 19:52 - GUI for Agents/Claws + Hallucinations 21:34 - …Emotions? 25:29 - Her connection 244-page System Card: https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf Project Glasswing: https://www.anthropic.com/glasswing Zero-Day Details: https://red.anthropic.com/2026/mythos-preview/ Mythos ‘terrifying’: https://x.com/bcherny/status/2041605852382351666 New Yorker Altman/Amodei: https://archive.fo/20260406100412/https://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trusted Alignment Risk Update: https://www-cdn.anthropic.com/79c2d46d997783b9d2fb3241de43218158e5f25c.pdf In a Park: https://x.com/sleepinyourhat/status/2041584808514744742 “Uhm” - https://x.com/thsottiaux/status/2041749947385815109 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
First look at exclusive reports about OpenAI's new Spud model, and the model Anthropic think will stir governments to urgency, all in the context of the newly-launched ARC-AGI-3. What does the extreme difficulty of that benchmarks, and its quirky scoring metrics, mean for AI in 2026? https://assemblyai.com/aiexplained Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:55 - OpenAI Side Quests 01:58 - Claude New Model Coming + Universal Equity? 03:13 - ARC-AGI 3 05:00 - Intentional or Unintentional Gaming? 07:11 - But is it AGI Harbinger? No Harness 09:41 - Not the First 12:32 - Automated Researcher 15:00 - Claw Caveat Spud: https://www.theinformation.com/articles/openai-ceo-shifts-responsibilities-preps-spud-ai-model?utm_campaign=Editorial&utm_content=Article&utm_medium=organic_social&utm_source=bluesky%2Cfacebook%2Clinkedin%2Cthreads%2Ctwitter&rc=sy0ihq FT: OpenAI Special Model: https://www.ft.com/content/de9bf0af-b241-424f-8229-5870b1c0d93d?syn-25a6b1a6=1 Jensen Huang: https://www.forbes.com/sites/antoniopequenoiv/2026/03/23/nvidias-jensen-huang-says-he-thinks-weve-achieved-agi/ Axios Article: https://archive.fo/20260326100140/https://www.axios.com/2026/03/26/anthropic-pentagon-ai-deal#selection-827.0-829.257 https://arcprize.org/arc-agi/3 ARC AGI 3 Paper: https://arcprize.org/media/ARC_AGI_3_Technical_Report.pdf NetHack Leaderboard: https://balrogai.com/ Paper: https://ai.meta.com/research/publications/the-nethack-learning-environment/ https://x.com/_rockt/status/2036864121585438995 Claw Shells: https://x.com/DrJimFan/status/2036494601750716711 OpenAI Automated Researcher: https://www.technologyreview.com/2026/03/20/1134438/openai-is-throwing-everything-into-building-a-fully-automated-researcher/ Patreon Post: https://www.patreon.com/c/aiexplained/posts Eng Jobs: https://x.com/lennysan/status/2036535460726767793 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
Just 48 hours after releasing GPT 5.3 Instant, OpenAI have released GPT 5.4 Thinking, so either their is an imminent singularity or perhaps we are being distracted from other news. This video will give 9 crucial bits of context, not just on the GPT 5.4 drop but on the background to the meltdown between the Pentagon and Anthropic. What does this say about the state of AI progress, your job, and what is next. Check out my fast-growing (!) app, free to use, and code INSIDER15 for 15% off paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 01:06: GPT 5.4 Breakdown 05:06 - Closing the Loop 06:35 - Spiky Performance 10:31 - Advice 11:32 - Less Encouraging Developments - Fired Like Dogs 17:45 - But Used in Iran GPT 5.4: https://openai.com/index/introducing-gpt-5-4/ Hallucinations: https://artificialanalysis.ai/evaluations/omniscience Investment Banking Bench: https://x.com/bradlightcap/status/2029684672343728452 Move 37: https://x.com/nasqret/status/2029628846518010099 System Card: https://deploymentsafety.openai.com/gpt-5-4-thinking/gpt-5-4-thinking.pdf Prediction Market Scandal: https://www.wired.com/story/openai-fires-employee-insider-trading-polymarket-kalshi/ GPT 5.3 Instant: https://openai.com/index/gpt-5-3-instant/ GDPVal: https://openai.com/index/gdpval/ Claude in Iran: https://www.washingtonpost.com/technology/2026/03/04/anthropic-ai-iran-campaign ‘Like Dogs’: https://x.com/AndrewCurran_/status/2029605783311470679 Altman leak: https://www.cnbc.com/2026/03/03/sam-altman-tells-openai-staff-operational-decisions-up-to-government.html Original 2024 Switch: https://archive.fo/20240116172526/https://www.bloomberg.com/news/articles/2024-01-16/openai-working-with-us-military-on-cybersecurity-tools-for-veterans#selection-6173.83-6173.226 Amodei Original Memo: https://www.theinformation.com/articles/read-anthropic-ceos-memo-attacking-openais-mendacious-pentagon-announcement?rc=sy0ihq Anthropic Apology: https://www.anthropic.com/news/where-stand-department-war OpenAI Employee Reaction: https://x.com/tszzl/status/2029334980481212820 DoD Suppler Risk: https://www.cnbc.com/amp/2026/03/05/anthropic-pentagon-ai-claude-iran.html Atlantic Exclusive: https://archive.fo/20260301152646/https://www.theatlantic.com/technology/2026/03/inside-anthropics-killer-robot-dispute-with-the-pentagon/686200/#selection-941.61-941.212 No Negotiation: https://x.com/USWREMichael/status/2029754965778907493 $20B Doubling: https://archive.ph/20260304111124/https://www.bloomberg.com/news/articles/2026-03-03/anthropic-nears-20-billion-revenue-run-rate-amid-pentagon-feud March 2022 Interview: https://www.youtube.com/watch?v=uAA6PZkek4A https://lmcouncil.ai/ Non-hype Newsletter: https://signaltonoise.beehiiv.com/
Will Anthropic be forced to make a version of Claude for war? And does a new paper expose the risks of Claude agents, in both OpenClaw and the field of war? Plus, 5 more twists in the story of the Pentagon versus Anthropic + some AI lab employees, and a petition that could change everything, or nothing... Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcouncil.ai AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 00:44 - Deadline Day + Petition 02:42 - Twist 1: Existing Deal 03:26 - Twist 2: Existing Policy 04:21 - Twist 3: Twin Threats 05:54 - Twist 4: Interesting Objections 11:32 - Twist 5: Anthropic’s Dropped Policy Dario Statement: https://www.anthropic.com/news/statement-department-of-war Google/OpenAI Petition: https://notdivided.org/ Axios on Amodei Rejection: https://www.axios.com/2026/02/26/anthropic-rejects-pentagon-ai-terms FT on US Threat: https://www.ft.com/content/11d27612-d6c5-4cf7-94dd-f65603549b7f Politico on Latest: https://archive.ph/20260227013117/https://www.politico.com/news/2026/02/26/incoherent-hegseths-anthropic-ultimatum-confounds-ai-policymakers-00800135 The Verge on Current Deal: https://www.theverge.com/ai-artificial-intelligence/883456/anthropic-pentagon-department-of-defense-negotiations Anthropic RSP change: https://www.anthropic.com/news/responsible-scaling-policy-v3 Time Magazine on RSP: https://time.com/7380854/exclusive-anthropic-drops-flagship-safety-pledge/ Agent of Chaos Paper: https://x.com/NatalieShapira/status/2026062499599319526 AI Agent Reliability Paper: https://arxiv.org/pdf/2602.16666 My Patreon Video: https://www.patreon.com/posts/real-mystery-ai-151647211 Patreon Documentary: https://www.patreon.com/posts/our-new-age-of-133960279 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
Do we have a new best AI model, or do we have the downfall of benchmarks in general, as a way of capturing machine intelligence? Full breakdown of Gemini 3.1 Pro, guest-starring the new Sonnet 4.6, plus analysis from 7 papers/posts that will give you much needed context. Oh, and a new record on Simple Bench! https://epoch.ai/ai-explained-datacenters 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 00:30 - Post-training Dominance 04:00 - ARC-AGI 2 Caveat 05:54 - Simple Bench Record 08:22 - Hallucination Caveat 10:05 - Model Card 11:12 - Exponential Coming 12:20 - Amodei on Generalizing 15:10 - One True Benchmark? 17:02 - Other Metrics… Gemini 3.1 Model Card: https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-3-1-Pro-Model-Card.pdf Release: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/ Where are Agents deployed?: https://www.anthropic.com/research/measuring-agent-autonomy Newsletter Post: https://signaltonoise.beehiiv.com/p/4-ai-numbers-that-surprised-me-this-week Hallucination AA: https://artificialanalysis.ai/evaluations/omniscience Melanie Mitchell: https://x.com/MelMitchell1/status/2022738363548340526 ARC-AGI-2: https://x.com/arcprize/status/2024522812728496470/photo/1 Chollet on Agentic Coding and ML: https://x.com/fchollet/status/2024519439140737442 METR Caveat: https://metr.org/notes/2026-01-22-time-horizon-limitations/ Talaas Fast: https://chatjimmy.ai/ Amodei Interview Continual learning: https://www.dwarkesh.com/p/dario-amodei-2?open=false#%C2%A7002942-is-continual-learning-necessary-how-will-it-be-solved Metaculus FutureEval: https://www.metaculus.com/futureeval/ Next Vid to Watch: https://www.patreon.com/posts/what-you-need-to-150647292 Non-hype Newsletter: https://signaltonoise.beehiiv.com/ Podcast: https://aiexplainedopodcast.buzzsprout.com/
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
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