whyarium выпуск 6 ДОКАЗАТЕЛЬСТВО полная версия 4K v1 20.10.2026

On 8 September 2026, OpenAI announced that an AI had solved one of the hardest problems in mathematics: a Millennium Prize problem about the equations that describe every fluid on Earth, worked out by ten thousand AI agents in 88 hours and checked line by line by a computer. A month later it posted 722 more papers at once. Go fell to AI first, then protein folding, then code, and now mathematics. So what does it reach next, and why does it race ahead in some fields and crawl in others? To find out, the film follows one idea from a free-throw line and a therapist's office, through millions of games of Go and chess, a program that marks every step of a proof true or false, fifty years of measured protein structures, and the slow clock of a clinical trial: you get good as fast as the world can tell you whether you were right. Then back to September, to what those claims really amount to, and our answer: which fields AI will change next, in the order they can check their answers, why medicine has to wait for nature, and what the same loop says about the things you are good at yourself. Chapters 0:00 Intro 3:51 The World Answers Back 8:52 Millions of Games 11:26 A Game with a Referee 17:53 The Banked Checks 22:45 Nature's Clock 28:06 Speeding the Check 30:36 Our Answer Sources Quanta Magazine, 8 Sep 2026; Scientific American, 21 Sep and 6 Oct 2026; Nature, 7 Oct 2026; Retraction Watch, 8 Oct 2026 OpenAI, Sharing AI progress in mathematics, and github.com/openai/math, Oct 2026 Clay Mathematics Institute, Navier-Stokes statement, Sep 2026; Fefferman CL, official problem statement, 2000 Leray J, Acta Math 1934 Bastounis A, Circelli J, Hansen AC, arXiv:2610.08144 Tao T, Math 2.0 (Caltech talk, Oct 2026); What's new blog, 19 Oct 2026 Google DeepMind, Aletheia and the Erdős problems, arXiv:2602.10177 Wei J, Asymmetry of verification and verifier's law, 2025 Hassabis D, 60 Minutes (CBS), Apr 2025 Anthropic, The AI expectations gap / Working at the frontier shapes expectations, 16 Oct 2026 Goldberg SB et al., J Couns Psychol 2016 Kahneman D, Klein G, Am Psychol 2009 (with Shanteau's expert lists and Chase and Simon's 10,000 hours) Thomas L, The Youngest Science, 1983 Silver D et al., Nature 2016; Nature 2017; Science 2018 (AlphaGo, AlphaGo Zero, AlphaZero) Crowfoot D, Nature 1935; Adams MJ et al., Nature 1969; Protein Data Bank, Nature New Biology 1971 Jumper J et al., Nature 2021; Terwilliger TC et al., Nat Methods 2024; Pak MA et al., PLoS ONE 2023; Karelina M et al., eLife 2023 Brown DG et al., Nat Rev Drug Discov 2022; Wong CH, Siah KW, Lo AW, Biostatistics 2019; Mak IWY et al., Am J Transl Res 2014 Kolata G, The New York Times, 3 May 1998; Kulke MH et al., J Clin Oncol 2006; Miller K et al., N Engl J Med 2007; FDA, Avastin decisions 2008 and 2011 Scannell JW et al., Nat Rev Drug Discov 2012; Scannell JW, Bosley J, PLoS ONE 2016 Jayatunga MKP et al., Drug Discov Today 2024; Xu Z et al., Nat Med 2025; Insilico Medicine, Jul 2026 Penadés JR et al., Cell 2025; BBC News, Feb 2025 Vlachogiannis G et al., Science 2018; Burger B et al., Nature 2020 Merchant A et al., Nature 2023; Szymanski NJ et al., Nature 2023; Cheetham AK, Seshadri R, Chem Mater 2024; Leeman J et al., PRX Energy 2024 FDA, roadmap to phase out animal testing for monoclonal antibodies, 10 Apr 2025 Lam R et al., Science 2023; Price I et al., Nature 2025 (data: ERA5, ECMWF) Kitazawa S et al., J Neurosci 1995; Schoenfeld JD, Ioannidis JPA, Am J Clin Nutr 2013 Data: RCSB Protein Data Bank (entry counts, pulled 19 Oct 2026; 1MBN, 1UBQ, 2K39, 6Y4F) Images Quanta Magazine, The Next Web, arXiv, Clay Mathematics Institute, Terence Tao; Paul Erdős: Topsy Kretts (CC BY 3.0); Daniel Kahneman: nrkbeta (CC BY-SA 2.0); Gary Klein: TEDx Talks; X-ray pattern: Patrick Baker, Wellcome Collection (CC BY 4.0); Nature / Springer Nature; Museum of the History of Science, Oxford (CC BY-SA 3.0); Nobel Foundation; Science Museum Group (CC BY-NC-SA 4.0); The New York Times (Cold Spring Harbor Laboratory Archives); US FDA; Imperial College London Video Complexity; Cambridge University; Fluid Dynamics; Salman Khan; Andre Held; CBS 60 Minutes; Stockton Firefighters Local 456; UnityPoint Health - Meriter; Augustin Thai; Javier Dunk; Esther-Ann Creative; Google DeepMind (AlphaGo - The Movie; AlphaFold: The making of a scientific breakthrough); ANU TV (CC BY); Terence Tao; William Zhu (SAIR Summit, UCLA); Associated Press; AP Archive; Nikon Instruments; Understanding Animal Research / MRC Harwell (CC BY); Environmental DNA Laboratory; BRAND; Tomocube; Nature Video; Berkeley Lab; Insilico Medicine; Amazon Web Services; Winship Cancer Institute of Emory University; Mixkit; ASMRSome; yücel doğan; WhoisAi Sound Hollywood Edge; Go Acoustics; Hummingbird SFX