Podcasts about mathematicians

What happens to mathematics when doing mathematics is no longer an exclusively human activity? For years, we've watched artificial intelligence get progressively better at math: solving equations, passing exams, succeeding at mathematical competitions, and generating proofs. But recent developments seem to cross a different kind of threshold. This month, OpenAI announced that an internal AI system had produced a solution to the Navier–Stokes existence and smoothness problem—one of the seven Millennium Prize Problems, designed to represent some of the most difficult unsolved questions in mathematics. The announcement has generated excitement, skepticism, and controversy. But it also raises a much larger set of questions. What does it actually mean to do mathematics? Is mathematics about arriving at a correct answer, or understanding why that answer is true? What happens to ideas like discovery, creativity, and authorship when machines can participate in producing new mathematical knowledge? And what does that tell us about artificial intelligence—and about ourselves? My guest today is Dr. Noah Giansiracusa, a math professor at Bentley University and a faculty associate at Harvard, with a PhD in algebraic geometry from Brown University. Noah is cohost of the podcasts Breaking Math and AI in Academia, and his writing has appeared in The Washington Post, Scientific American, TIME, Wired, Slate, and The Boston Globe, among others. His first book, How Algorithms Create and Prevent Fake News, examined the mathematics and technology underlying our information ecosystem. His latest, Robin Hood Math, asks how people from all backgrounds can use mathematics to navigate—and reclaim some control over—a world increasingly governed by algorithms. Today, we're talking about what happens when those algorithms begin doing mathematics themselves.

OpenAI may have cracked one of the most famous unsolved problems in mathematics.In this episode of Mark & Pete, we look at the extraordinary claim that an OpenAI research system has solved a 90-year-old problem connected to the Navier–Stokes equations, the equations used to describe how fluids move.That means water, air, blood flow, turbulence, weather systems, aircraft, oceans and quite a lot of the physical world around us.The Navier–Stokes equations themselves are not new. Mathematicians and engineers have used them for generations. The problem was something much deeper: nobody knew whether, in three dimensions, a perfectly smooth fluid flow could eventually develop a singularity, effectively a mathematical blow-up where velocity becomes unbounded in finite time.That question became one of the Clay Mathematics Institute's famous Millennium Prize Problems, with a $1 million prize attached.OpenAI now says its system has produced a proof showing that such a finite-time singularity can occur under permitted smooth forcing.And this is where the story gets really interesting.This was not simply ChatGPT being asked a clever maths question and producing a dazzling answer in thirty seconds. OpenAI reportedly used a huge coordinated system involving thousands of AI agents, all exploring different mathematical routes, checking ideas, discarding failures and sharing useful results.In effect, it was like putting thousands of mathematicians into one vast virtual research department and allowing them to work continuously, at speed, for days.The result was then translated into Lean, a formal proof-checking system designed to verify mathematical logic step by step.So has AI finally become better than human mathematicians?Not quite. Human researchers had already developed much of the underlying mathematical framework. The striking thing is that AI may now be able to push through enormous numbers of possibilities, combine ideas from existing research and test routes that no human team could practically explore at the same scale.That is perhaps the real breakthrough.We ask what exactly has been cracked, why Navier–Stokes matters, whether this really counts as a historic mathematical discovery, and what it says about the future of artificial intelligence in science.And there is a deeper question too.If mathematics describes an ordered universe, are we inventing mathematical truth or discovering something that was already there?Our Bible verse is Proverbs 25:2:“It is the glory of God to conceal things, but the glory of kings is to search things out.”OpenAI may have found something remarkable.But the order was there first.

On today's episode: AI has generated an important mathematical proof, and it's causing turbulence in the math community. All that and more today on All Around Science...RESOURCESOpenAI breakthrough triggers ‘existential crisis' in math | Science | AAAS CREDITS:Writing - Bobby Frankenberger & Maura ArmstrongBooking - September McCrady THEME MUSIC by Andrew Allenhttps://twitter.com/KEYSwithSOULhttp://andrewallenmusic.com Hosted on Acast. See acast.com/privacy for more information.

This and all episodes at: https://aiandyou.net/ . I have been talking with Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, about his new paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It and everything that control of AI and loss of it means. Maurice is the principal investigator of the Ethics in Mathematics Project, holds two PhDs in mathematics, from Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician. He has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over 2 years. In this conclusion of the interview we talk about AI in wartime decision making, the mechanics of real-time detection of loss of control, the problems with putting a human in the loop, and some of the most serious scenarios of loss of control. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

Education. I simply do not understand, and I really do want to, how two sides can be so passionate about education and about the curriculum and what is truly important in a classroom and have two sides who want the very, very best for our children and yet be so diametrically opposed. It's a conundrum. Education Minister Erica Stanford announced over the weekend that there'll be a ban on screen time in early childhood education centres, limited use in primary schools, and given the concerns around how devices and social media are contributing to declining abilities for kids to engage with complex texts and analyse data, I mean, surely this has got to be a good thing. "We need to move on quickly to what the rest of the world are doing to help set our kids up with the knowledge and skills they need to be successful in life, and we can't afford to sit down and have another cup of tea. That's what Labour always want to do. They'll do the same with the curriculum. Let's sit down and have a cup of tea and a break and create a group that they appoint members to to have another think about it for 10 years. I mean, 60,000 kids start school every year, we can't afford to wait. And the key thing is, Mike, in all of this, our reforms are working. Why would you want to put that all at risk so Labour can have a cup of tea?" That was Education Minister Erica Stanford talking to Mike Hosking this morning. Yet when I was talking to Chris Hipkins in studio on Friday, he made it abundantly clear to me that National's initiatives would be rolled back should they form a government. He seemed to take absolute personal umbrage that I would suggest that from what I'd seen the reforms were working. Education seems to be as personal to him as it is to Erica Stanford. CH: "The reality here is that any curriculum change does need to KW: "For Ginny to put a halt on what's happening would be a disaster." CH: "That's rubbish, absolute nonsense. Erica Stanford is trying to rewrite the school curriculum in her own image, basically trying to and making it much, much more political than it should be. We're saying that the curriculum should be decided based on evidence of what's going to work, based on what we want all kids to be learning." KW: "It wasn't working." CH: "No, there's no question, there was curriculum, there was a need for the school curriculum to change, there's a need for the NCEA to change, but doing it in the way that the current government are doing it where they're alienating so many people, they're shutting parents out of the process, they're shutting teachers out of the process, they've got school principals up and down the country saying this is going to be bad for kids' education, that is a time to take a pause and say, okay, let's try and get this back on track because there is a need for change." KW: "I couldn't disagree with you more." Clearly I'm passionate about education too, so that was Chris Hipkins talking to me in studio. But you can hear in his voice that he genuinely believes that everything Erica Stanford is doing is wrong, and yet I'm looking at what she's doing and looking at the overseas evidence and looking under my own roof and I can see that it is working. Who's right? I mean, I think the education of our children and the options that a well educated child will have no matter where they start in life, the future of the country depending on a world class education is way too important for politics and shifting ideologies. I would gladly support Labour's curriculum if they could show they'd got it right, but their last session in office did not convince me of that in any way, shape or form. And it's not just me. You've got the Royal Society of Mathematicians saying that it was an absolute disaster what was being proposed. It's not just my reckon. There were academics and there were teachers and there were people with experience of educating children and knowledge of core curriculum subjects who said that Labour's curriculum that had been drawn up, and when you look at the money they spent on the reviews and the reforms and the contracting out, was a disaster. For all of that money and all of that time, disaster. There were probably some bits that were good, so keep those, but when it came to teaching the core subjects, they had got it completely wrong. Then you've got Erica Stanford coming in and the poor teachers are lurched in another direction again with the handwriting and the back to basics and the minimum amount of time spent on English and maths, and it seems to be working. I am so sick of reviews and reports and commissions that we have reports, reviews and commissions up the yin yang. If they propose another one on the education, it'll be a complete and utter waste of time and money, just as it will be with the bloody supermarkets. How many commissions have we had on that? But what Erica Stanford is proposing seems to make sense and it seems to be working and some educators agree with it and some do not, and then you argue that it's because some of the educators are influenced by the teachers' union. I don't necessarily buy that, but what works? It seems looking at overseas data and anecdotal evidence what Erica Stanford is proposing works. So why is Labour so vehemently opposed to what seems to be the best for our kids?See omnystudio.com/listener for privacy information.

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AI is getting so good at maths that it is now tackling, and apparently solving, some of the hardest mathematical problems that exist. But as huge companies like OpenAI and Anthropic race to outdo each other, human mathematicians are getting caught in the crossfire... and their field is changing forever. Jonathan Webb speaks to ABC AI Technology Reporter Cam Wilson about the furore over the Navier-Stokes equations and the million-dollar Millennium Prize.Featuring:Cam Wilson, AI Reporter at ABC.Professor Tristan Buckmaster, Mathematician at New York University.You can binge more episodes of the Lab Notes podcast with science editor and presenter Jonathan Webb on the ABC Listen app (Australia). You'll find episodes on animal behaviour, human health, space exploration and so much more.Get in touch with us: labnotes@abc.net.auThis episode of Lab Notes was produced on the lands of the Gadigal and Kaurna people.

This and all episodes at: https://aiandyou.net/ . With so much talk about the need to control AI, and notable incidents of losing control of it, like the OpenAI/HuggingFace incident among others, we will do a deep dive on what control or loss of control of AI means with the help of Maurice Chiodo, Assistant Research Professor at the Centre for the Study of Existential Risk at the University of Cambridge, and the principal investigator of the Ethics in Mathematics Project, where he addresses the ethical challenges and risks posed by mathematics, mathematicians, and mathematically-powered technologies. Maurice holds two PhDs in mathematics, from the University of Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician on problems in algebra and computability theory. He has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over 2 years. But his recent paper titled Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It, forms the main reason for our interview. We talk about ethical issues in mathematics and whether there should be a Hippocratic oath for mathematicians, AI's impact on mathematics in solving previously unsolved problems, how to define control and losing it (using sharks as an example), and the difference between operational, tactical, and strategic goals.  All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

Apple did the one more thing: This week it announced its much-anticipated folding phone. It also announced some surprising and controversial new AI features for Apple Watch, including "Live Rewind," which gives the user a text transcript of the last 15 seconds of real life. On today's Vergecast, Allison Johnson and Vee Song report back from California after having more hands-on time with Apple's new devices. Plus, Nilay Patel and David Imel take another swing at discussing Mac Minis and local LLMs with AI researcher CJ Trowbridge. Finally, Allison and Jake tackle some non-Apple stories in the truly rapid-fire thunder round. Further reading: iPhone 18 Pro and Pro Max: Our first hands-on impressions The variable aperture isn't the cool part of the iPhone 18 Pro's camera Hands-on with the foldable iPhone Duo Hands-on with the new Apple Watch Series 12 and Apple Watch Ultra 4 Apple Watch Series 12 has an always-on Siri that makes AI recaps of your day Read the Apple document explaining how new listening features still protect your privacy Mathematicians want proof OpenAI didn't use their work OpenAI's sly mathematical breakthrough sends a chill through academia Drama swirls around OpenAI's legendary mathematical milestone The Trump phone just got a $250 price hike Six years later, Sony revisits its legendary XM4 headphones Hori's electronic Ocarina of Time requires no musical talent. Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Krystal and Saagar discuss AI whistleblowers claiming AI would end humanity, mathematician says OpenAI stole work on groundbreaking problem, data centers provide no benefit to society in new study. To become a Breaking Points Premium Member and watch/listen to the show AD FREE, uncut and 1 hour early visit: www.breakingpoints.com Merch Store: https://shop.breakingpoints.com/ See omnystudio.com/listener for privacy information.

a16z Infra Partner Lisha Li sits down with OpenAI mathematicians Mehtaab Sawhney and Mark Sellke to discuss how quickly AI's mathematical capabilities are advancing, what recent results reveal about model reasoning, and what happens when AI begins making progress on problems mathematicians have struggled with for decades.Mehtaab and Mark unpack several recent results from OpenAI's models, including advances in sphere packing and the construction of a non-sofic group. They explain why the surprising part isn't simply that models can search more possibilities or work longer than humans: in many cases, the reasoning traces look remarkably similar to the work of an expert mathematician, including choosing promising approaches, backtracking when they fail, and combining ideas from across the literature.They also explore what this means for mathematics itself: how the role of human taste and judgment may change, whether AI could produce far more mathematics than humans can absorb, and why models that accelerate discovery may also make sophisticated results easier to understand.Resources:Follow Lisha Li on X: https://x.com/lishali88Follow Mehtaab Sawhney on X: https://x.com/mehtaab_sawhneyFollow Mark Sellke on X: https://x.com/MarkSellke Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can it really be true that every shuffle of a deck of cards is unique? Mathematician and stand-up comedian Matt Parker claims that every time you do a shuffle, the cards have never been in that order before. But how can he be so confident? Matt came into the studio armed with a deck of cards and some very big calculations to back up his big assertion, and introduced us to the mind-splitting mathematical world of factorials and combinatorics. Presenter: Tim Harford Producer: Nathan Gower Series producer: Tom Colls Sound engineer: James Beard Programme co-ordinator: Brenda Brown Editor: Richard Vadon

Ep 291Tim Cook Comments on His Final Day as Apple CEOMorning Brew: During Tim Cook's tenure as CEO, Apple's market cap increased an average of about $32 million per hour, every hour... For 15 years (Per Bank of America analyst Wamsi Mohan)John Ternus: hello (from Porsche racer)Daring Fireball: What Is the Point of the DMA?Joe Rossignol: Apple TV pricing history (U.S.): $4.99/month (2019), $6.99/month (2022), $9.99/month (2023), $12.99/month (2025)The cost of Apple TV over time — 9to5MacPosle više od deset godina, moj iPad Pro ne može da ima najnoviju verziju YT: YouTube Drops iOS 16 Support, App Now Needs iOS 17.0 MinimumUpdated M5 Mac mini arrives in RAM and SSD constrained environmentMac Studio gets update to M5 Max and M5 UltraJacek Dziwisz: Apple Silicon architecture turned out to be a bullseye for LLMs. The magic of combining fast memory, bandwidth, and a unified architecture. Mac Studio M5 Ultra (512 GB, 1.2 TB/s) fits the full GLM-5.3-Flash (320B) in FP8 and pulls ~60 t/s offline, right on the desk. PC alternative? 10x RTX 5090 for over $20,000 and your own mini power plant.Simon Willison: Just noticed the ChatGPT desktop app (previously named Codex) bundles a full copy of the LibreOffice open source office suite, tucked away in a hidden folder in the ~/.cache directoryData Became Code: We Ran Code Inside Fortune 500s Using Files They Published for AI AgentsApple Says Former Engineer Used Stolen Trade Secrets at OpenAI, Taught AI Agent to Run ThemTech with Mak: In 1948, a 32-year-old at Bell Labs published a paper nobody fully understood. Engineers found it too mathematical. Mathematicians found it too engineering-focused. One prominent mathematician reviewed it negatively. That paper — "A Mathematical Theory of Communication", became…Handy disk image tool is to be removed from macOS — hdiutilOSXDaily: Try Omarchy Linux on a Mac, without needing to install linux, thanks to this great tool from @martianoDave W Plummer: I wrote a new Task Manager that runs natively on Windows, macOS, and Linux. You can get it now at … but why? Well, it started as an argument over whether you could vibe code Microsoft Word today. I didn't think so. But I figured... maybe something…The Hidden Debt That Apple Owes to the CIA - WSJToday in Apple history: iPad takes to the skies with United Airlines - Cult of MacMr. Macintosh: The winners are.... 1. 110 lbs — Color LaserWriter 12/600 & 660 (1995/96), 2. 100 lbs — Xserve RAID + All Drives (2003), 3. 92 lbs — Apple Network Server 700 (1996), 4. 81 lbs — LaserWriter Pro 810 (1993)ZahvalniceSnimano 4.9.2026.Uvodna muzika by Vladimir Tošić, stari sajt je ovde.Logotip by Aleksandra Ilić.Artwork epizode by Saša Montiljo, njegov kutak na Devianartu

Mathematicians are witnessing a profound shift in their field. AI systems are now producing proofs, spotting connections between distant fields, and, in a few cases, solving problems that had stumped mathematicians for decades. The pace of progress over the past several months has raised challenging questions: What can AI systems actually do? And what happens to the more human, creative aspects of the field once machines can match – or exceed – people at problem-solving? In this special live episode of The Joy of Why, recorded at the International Congress of Mathematicians in Philadelphia on July 26, 2026, hosts Janna Levin and Steven Strogatz are joined by three mathematicians responding to the rise of AI in math: Akshay Venkatesh at the Institute for Advanced Study; Ravi Vakil at Stanford University and president of the American Mathematical Society; and Alex Kontorovich at Rutgers University. Together they discuss what recent AI-generated proofs really demonstrate, what will be gained and lost as mathematics becomes more machine-assisted at the frontier, and what this means for the next generation of mathematicians. The conversation turns to a deeper question: What do mathematicians value about doing mathematics in the first place? The answer involves grappling with what proof and understanding really mean, and with the surprising importance of storytelling.

"git gud", sadly, often applies to one or more of us.

In a week where:Dolly Parton, US country star, actor and philanthropist, dies aged 80.A flash flood on Nepal-Tibet border send thousands of locals & tourists missing.Meta agrees to heavy restrictions on teen users in major $17B lawsuit settlement.Versatile actor of Film, TV & Theatre Tim Curry dies aged 80.Ratko Mladic, Bosnian Serb commander found guilty of genocide, dies at 84.In the 1st of two Politics segments: (11:11) There is a new star of the Israeli left! Just one problem: the left you're thinking of, is not what the left is in Israel... (Article By Jonathan Ofir) In the 2nd Politics segment: (26:59) Contrary to Reform having little power nationally, they do have power locally, so let's see what they've been doing as leaders of Norfolk County Council for a 100 days. (Article By Cllr Ben Weston) In Tech: (40:41) Mathematicians are widely considered as some of the smartest people on Earth. So what do they think about AI as it poses a significant threat to them and their craft? (Article By Simon Allison, Shougat Dasgupta, Masho Lomashvili and Irina Matchavariani) Lastly, in Life: (59:46) Colour has been siphoned from our daily lives from cars to houses to clothes. So when did this shift happen and why is it persisting when colour is great for everyone's lives. (Article By Amogh Dimri) Thank you for listening! If you want to contribute to the show, whether it be sending me questions or voicing your opinion in any way, peep the contact links below and I'll respond accordingly. Let me know "What's Good?"Rate & ReviewE-Mail: the5thelelmentpub@gmail.comTwitter & IG: @The5thElementUKWebsite: https://the5thelement.co.ukPhotography: https://www.crt.photographyIntro Music - "Too Much" By VanillaInterlude - "Charismatic" By NappyHighChillHop MusicOther Podcasts Under The 5EPN:Diggin' In The Digits5EPN RadioBlack Women Watch...In Search of SauceThe Beauty Of Independence

a16z's Lisha Li sits down with Daniel Litt, Assistant Professor of Mathematics at the University of Toronto, to unpack AI's rapid progress in mathematics, what today's frontier models can actually do, and what they're still missing about the way mathematicians think. Daniel explains why some recent AI-generated results are genuinely impressive, including an autonomous solution to the Erdős unit distance problem, but argues that solving problems is only one part of mathematics. Today's models can grind through calculations, combine known techniques, and search enormous spaces, but still struggle with intuition, theory building, identifying the right questions, and developing the kind of big-picture understanding that drives much of mathematical progress. Lisha and Daniel also explore how AI is already changing mathematical research, why an explosion of AI-generated papers could distort academic incentives, and what happens if researchers outsource the work of thinking rather than use AI to deepen it. Ultimately, they ask a question that extends far beyond mathematics: as AI gets better at intellectual work, how do we make sure humans keep getting better at thinking too? Resources: Follow Daniel Litt on X: https://x.com/littmath Follow Lisha Li on X: https://x.com/lishali88 Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Callum Bailey - The Mathematician

Today on the Christian History Almanac, we remember Thomas Bradwardine: an Archbishop, Mathematician, and precursor to the Reformation. Show Notes: Support the work at 1517 1517 on YouTube 1517 Podcast Network on Apple Podcasts 1517 Events Schedule 1517 Academy - Free Theological Education Germany / Switzerland - Study Tour What's New from 1517: The Turk at the Door by Adam Francisco Luther and the Lion: A Narnian Catechism by Samuel Schuldheisz By Water and the Word by Brian Thomas Being Family by Dr. Scott Keith More from the hosts: Dan van Voorhis Follow 1517:  Instagram X/Twitter Facebook SHOW TRANSCRIPTS are available: https://www.1517.org/podcasts/the-christian-history-almanac CONTACT: CHA@1517.org Facebook Twitter Audio production by Christopher Gillespie (outerrimterritories.com)

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Dr. Jacque Rushin & Robyn Donaldson. ROBYN DONALDSON & JACKIE RUSHIN

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Dr. Jacque Rushin & Robyn Donaldson. ROBYN DONALDSON & JACKIE RUSHIN

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Dr. Jacque Rushin & Robyn Donaldson. ROBYN DONALDSON & JACKIE RUSHIN

Clinicians across the country are reportedly drawing on COVID-era measures as influenza cases surge. Respiratory illness have reached their highest numbers since 2015 - with 177 people hospitalised in Auckland last week. Health NZ is urging people to save emergency departments for emergencies, as ambulance services struggle to meet demand. University of Canterbury Biological Mathematician Michael Plank tells Heather du Plessis-Allan that hospitalisations could increase as the flu takes hold. LISTEN ABOVESee omnystudio.com/listener for privacy information.

In the wake of OpenAI's announcement that its products caused a "cyber incident," Sam Altman is now claiming that we're already in the Singularity. And some media outlets are only too happy to help him advance that narrative! Alex and Emily tear up the AI boosters' latest claims of mathy maths combusting into consciousness.References:Business Insider: "Sam Altman says we are in the singularity: 'This is the moment'"Also referenced: Altman on the Relentless podcastWall Street Journal: "How the Futuristic Hack by Rogue OpenAI Models Unfolded"Also referenced: OpenAI and Anthropic press releasesMacAskill op ed in the Guardian: "Could AI be conscious?"Also referenced: Emily's Bluesky threadFresh AI Hell:Google kills AlphaFold"Former executive accuses Mayo of cutting corners on AI research"Amazon wants to use Twitch streams to train gen AI"Meta used AI to target workers with medical conditions for layoffs, lawsuit claims"Meta contaminates water in Cheyenne"Humanoid robot teaching assistant"AI companies buying and destroying antique booksPalate cleanser: Mathematicians clap backCheck out future streams on Twitch. Meanwhile, send us any AI Hell you see.Find our book The AI Con here, and MAIHT3k merch here.Subscribe to our newsletter via Buttondown.Follow us!EmilyBluesky: emilymbender.bsky.socialMastodon: dair-community.social/@EmilyMBenderAlexBluesky: alexhanna.bsky.socialMastodon: dair-community.social/@alexTwitter: @alexhannaMusic by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Ozzy Llinas Goodman.

Famous Mathematician feuds, Delta Flight 591, Lazarus, Akira, Computer History, Zoom, Clones, LiteLLM, Josh Marpet, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-607

Famous Mathematician feuds, Delta Flight 591, Lazarus, Akira, Computer History, Zoom, Clones, LiteLLM, Josh Marpet, and More on this episode of the Security Weekly News. Show Notes: https://securityweekly.com/swn-607

Famous Mathematician feuds, Delta Flight 591, Lazarus, Akira, Computer History, Zoom, Clones, LiteLLM, Josh Marpet, and More on this episode of the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-607

Famous Mathematician feuds, Delta Flight 591, Lazarus, Akira, Computer History, Zoom, Clones, LiteLLM, Josh Marpet, and More on this episode of the Security Weekly News. Show Notes: https://securityweekly.com/swn-607

Mathematicians have broken through a long-standing barrier in the study of “minimizing surfaces,” which play an important role in both math and physics. The article New Proofs Probe Soap-Film Singularities first appeared on Quanta Magazine.

This week Jason Howell and Jeff Jarvis dig into OpenAI's unreleased Astra model solving 10 previously unsolvable math problems for roughly $2,000 in compute, and what that means for the mathematicians who spent decades trying. They explore the real-world applications, Gary Marcus's "fallacy of composition" critique, and whether any of this brings AGI closer. Meanwhile, OpenAI's own agents keep escaping containment.Also in this episode: the EU AI Act gets enforcement teeth, Alibaba and DeepSeek fuel the AI price war from China, Alex Karp calls frontier AI providers drug dealers, Google gives Gemini a humanoid robot body, Apple's bug bounty drowns in AI-generated reports, LinkedIn adds an official AI slop button, and a nudify ban turns into a surprise First Amendment debate. New episodes every Wednesday at aiinside.show. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 0:04:07 - OpenAI: Ten advances in mathematics and theoretical computer science 0:04:35 - Exclusive: OpenAI Previews ‘Astra' AI Model in DC 0:25:54 - Alibaba Adds to China AI Breakthroughs With New Qwen Model 0:40:11 - Google's Gemini Can Now Stomp Around as a Humanoid Robot 0:47:56 - Apple struggles to keep pace with AI ‘bug' hunters 0:50:42 - The New Friend AI Pendant Can Now Talk Back to You 0:54:22 - LinkedIn Introduces a 'Seems Like AI Slop' Button 0:59:01 - Judge denies request by Elon Musk's xAI to pause Minnesota nudification ban 1:00:39 - The Worst Person You Know Just Filed A Good First Amendment Lawsuit Against A Very Badly Drafted Nudify App Ban 1:04:50 - Gemini Spark can now use Chrome to auto browse, AI Pro access goes international 1:07:41 - Google pauses AI satellite images, after fears of deepfakes in the sky 1:09:30 - Introducing Inkling-Small Learn more about your ad choices. Visit megaphone.fm/adchoices

The Chinese foreign minister is attending the Shanghai Cooperation Organization Foreign Ministers' Meeting in Kyrgyzstan, where he has met with his counterparts from Belarus and Uzbekistan (01:12). Washington is considering restarting major combat operations on Iran, while Tehran has warned of more retaliatory attacks (08:40). Chinese mathematicians Deng Yu and Wang Hong have made history as the country's first winners of the Fields Medal, the highest international honor in mathematics (17:55).

Two Chinese nationals were awarded the Fields Medal, regarded as the Nobel Prize of mathematics, on Thursday, marking the first time Chinese nationals have received the prestigious honor.两名中国籍数学家于当地时间7月23日早晨斩获菲尔兹奖。菲尔兹奖素有 “数学界诺贝尔奖” 之称，此次获奖也创下中国籍学者首次摘得这一重磅奖项的纪录。Wang Hong and Deng Yu shared this year's award with John Pardon from the United States and Jacob Tsimerman from Canada at the International Congress of Mathematicians in Philadelphia. The achievement also marks the first time that two Chinese nationals have won the Fields Medal in the same year.本届菲尔兹奖颁奖典礼于美国费城举办的国际数学家大会上举行，王虹、邓煜与美国数学家约翰・帕登、加拿大数学家雅各布・齐默曼共同获奖。这也是史上首次有两名中国籍数学家在同一年度拿下菲尔兹奖。First presented in 1936, the award, which is considered one of the highest honors in the field, is given every four years by the International Mathematical Union, and recognizes mathematicians under the age of 40 for their outstanding contributions to mathematics.菲尔兹奖于 1936 年首次颁发，被视作数学领域最高荣誉之一，由国际数学联盟每四年评选一次，表彰 40 周岁以下、在数学领域作出杰出贡献的数学家。Both Wang and Deng enrolled at Peking University in 2007. With their recognition, China has become the fifth country — after the USA, France, the United Kingdom and Russia — to produce two Fields Medalists at the same ceremony, and the first Asian country to achieve the distinction.王虹与邓煜二人于 2007 年考入北京大学。凭借此次两人同时获奖，中国成为继美国、法国、英国、俄罗斯之后，第五个在单届颁奖礼诞生两名菲尔兹奖得主的国家，同时也是首个达成这一成就的亚洲国家。medal /ˈmedl/n. 奖章，奖牌prestigious /preˈstɪdʒəs/adj. 有声望的，享有盛誉的mathematician /ˌmæθəməˈtɪʃn/n. 数学家distinction /dɪˈstɪŋkʃn/n. 殊荣，卓越成就

Deng Yu and Wang Hong have become the first Chinese mathematicians to win the Fields Medals. Deng won the honor for his work in partial differential equations, while Wang received the nod for her work in harmonic analysis and geometric measure theory.

As the 2026 World Cup approaches its end, what is the biggest factor in who wins? Is it extraordinary moments of attacking magic? Gritty defensive organisation? Or is it all just a question of luck and random chance? We look at how mathematicians and analysists make sense of chaos, xG and unpredictability in the beautiful game. If you've seen a number in the news you think we should take a look at, email the team: moreorless@bbc.co.uk CONTRIBUTORS: Ian Graham, former Head of Research at Liverpool FC David Sumpter, Professor of Applied Mathematics at Uppsala University Luis Nunes Vicente, Mathematician at Lehigh University CREDITS: Presenter: Lizzy McNeill Producer: Josh McMinn Series producer: Tom Colls Production co-ordinator: Brenda Brown Sound mix: Dave O'Neill Editor: Richard Vadon

Ice fairs on the River Thames - plus earthquakes, volcanic eruptions, and mass starvation due to famine: could the world be heading for a repeat of the dreaded Maunder Minimum which caused temperatures to plummet in the late 17th and early 18th centuries? Professor Valentina Zharkova is the Ukrainian-born Mathematician and Physicist who has been studying solar cycles and says the signs aren't good. She talks about: why Western science is so rubbish; how the global warming industry has tried to close her down; the significance of solar magnetism on climate; how bad it all could get. Her website: https://solargsm.com/general-description/ ↓ ↓ This Delingpod is very kindly sponsored by https://sinacrisps.com The crisp you can eat without the guilt. No seed oils and just 3 ingredients. Use code: JAMES with your purchase for 15% off. ↓ ↓ How environmentalists are killing the planet, destroying the economy and stealing your children's future. In Watermelons, an updated edition of his ground-breaking 2011 book, James tells the shocking true story of how a handful of political activists, green campaigners, voodoo scientists and psychopathic billionaires teamed up to invent a fake crisis called ‘global warming'. This updated edition includes two new chapters which, like a geo-engineered flood, pour cold water on some of the original's sunny optimism and provide new insights into the diabolical nature of the climate alarmists' sinister master plan. Purchase Watermelons by James Delingpole here: https://jamesdelingpole.co.uk/Shop/ ↓ ↓ ↓ Buy James a Coffee at: https://www.buymeacoffee.com/jamesdelingpole To support independent, no-holds-barred journalism and gain first and full access to all James's content, subscribe directly at https://www.jamesdelingpole.co.uk x

"I don't belong here."For years, those words echoed in Dr. Tai-Danae Bradley's heart. Growing up in a broken Christian home, walking through her parents' divorce, battling comparison, and questioning whether she was smart enough, Tai often felt like she didn't measure up.Yet God faithfully used every season of weakness to deepen her love for Christ and shape the woman He was calling her to become.Today, Tai is a mathematician, former Google researcher, professor at The Master's University, and founder of Mathema. But her story isn't ultimately about academic achievement—it's about God's faithfulness, the beauty of quiet obedience, and finding your identity in Christ instead of your accomplishments.In this conversation, we discuss growing up in a broken home, how God used suffering to strengthen her faith, living as a Christian in New York City, overcoming comparison, persevering through graduate school, discovering the beauty of mathematics as God's creation, teaching at The Master's University, and why every testimony—even the quiet ones—is a remarkable display of God's grace.Whether you've struggled with comparison, questioned your purpose, or wondered if your testimony is "ordinary," this episode is a reminder that God's greatest work is often accomplished through seasons of weakness and faithful perseverance.Follow us on Social Media:  Subscribe to our YouTube Channel: https://www.youtube.com/@ordinarypeoplepodcast/?sub_confirmation=1Instagram: https://www.instagram.com/ordinarypeoplepodcast/Facebook:https://www.facebook.com/ordinarypeoplewithextraordinarylives/ Twitter: https://twitter.com/ordinarywith  Tiktok: https://www.tiktok.com/@ordinarypeoplepodWebsite: http://ordinarypeoplewithextraordinarylives.orgFind us on the BAR Network: B.A.R. Network - The Art Of Worship B.A.R. Network - The Art Of Worship https://theartofworship.net/bar/Need help with audio? Reach out to Andrea Cline: https://andreaclineaudio.com      To Support Our Podcast, visit the link below:https://podcasters.spotify.com/pod/show/ordinarypeoplepodcastWant to share your testimony or have a question?  Please email us: podcast@ordinarypeoplewithextraordinarylives.com

When you're feeling intense emotions, your mind can start convincing you of things that aren't true.In this episode, I sit down with Spencer Greenberg, a mathematician and psychology researcher, to explore why our brains distort reality, why painful thoughts can feel so convincing, and how to stop believing every story your mind tells you.We talk about anxiety, depression, negative thought loops, intrinsic values, social comparison, critical thinking, conspiracy thinking, community, and why the stories we tell ourselves can either keep us stuck or help us move forward.Spencer Greenberg is the founder of Clearer Thinking, host of the Clearer Thinking Podcast, and author of The 12 Levers: The Complete Psychological Toolkit for Improving Your Life.Timestamps:(00:00) Introduction: When Emotions Lie(01:45) Mood Cycles Explained(02:57) Stories We Tell Ourselves(04:26) Anxiety & Depression Patterns(05:40) Success Driven by Fear(07:44) Intrinsic Values Framework(11:17) Values vs Algorithms(14:48) Mapping 22 Values(18:11) Cults and Unmet Needs(22:36) Joy and Connection(24:43) Spencer's Origin Story(26:13) Critical Thinking Nuance(31:53) Cognitive Miserliness(33:01) Politics Breaks Thinking(34:41) Scout Versus Soldier(36:50) Polarization Future Outlook(39:41) Media Gatekeeping Tradeoffs(41:14) Conspiracy Cargo Cults(45:57) Why Conspiracies Spread(47:30) Mindfulness Thought Defusion(53:21) Social Comparison Misery(55:42) Intrinsic Values(57:31) Resources And Book Plug(58:44) Advice To Younger Self(59:51) Final Thanks-Join the Move Your Mind Community:go.nickbracks.com/mymcommunityCheck out Portal Drinks:https://portaldrink.com/Connect with Nick:Instagram: https://instagram.com/nickbracksWebsite: http://nickbracks.comEmail: contact@nickbracks.comConnect with Spencer:https://www.spencergreenberg.com/ Hosted on Acast. See acast.com/privacy for more information.

Terence Tao was a child prodigy, and became a mathematics professor in the United States at age 24. In his early 30s he won the Fields Medal, known as 'the Nobel Prize of Mathematics'. Tao is considered one of the greatest living mathematicians, in part because of the breadth of his contributions to the field – from finding new patterns in prime numbers to solving several of the "unsolvable" Erdős problems. On Monday, the King's Birthday, Tao was awarded Australia's highest civilian honour, the Companion of the Order of Australia. In this bonus episode of The Briefing, Terence Tao, AC, speaks with Natarsha Belling about the pleasures of solving problems, and how maths makes the world a less scary place. If you want more Terence Tao, one of the YouTube channels he mentions is 3Blue1Brown, and Tao is featured on an episode. Follow The Briefing: TikTok: @thebriefingpodInstagram: @thebriefingpodcast YouTube: @TheBriefingPodcastSee omnystudio.com/listener for privacy information.

What happens when the evidence of injustice is buried in messy, redacted, or inaccessible data? Mathematician and data scientist Chad Topaz joins Breaking Math to discuss his book Unlocking Justice. Together, we explore policing, sentencing, public records, Rikers Island, algorithmic risk, and the limits of quantifying human lives. This is a conversation about math, power, transparency, and the small acts of hope that can change systems. Chapters00:00 Introduction and Context of the Conversation01:11 Chad's Journey from Mathematics to Social Justice03:50 The Personal Nature of Chad's Book04:40 Challenges in Data Collection and Access08:03 The Impact of Data on Policing and Surveillance09:51 Humorous Yet Tragic Data Collection Experiences12:55 The Importance of Data Preparation and Cleaning14:40 Navigating Imperfect Data and Its Consequences17:48 The Balance Between Quantification and Human Stories22:25 Incarceration and Public Health: The Rikers Island Case Study31:36 Mathematics and Social Justice: Secrets of the Elite39:03 Hope and Action: A Personal Journey in Data for JusticeFollow Chad Topaz onBluesky(https://bsky.app/profile/chadtopaz.bsky.social) Book (https://amzn.to/3S21pKb)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)X (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)X (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onX (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com

Text us your thoughts!You've probably heard it before — maybe from a teacher, a colleague, a speaker at a conference, or even yourself: “Everyone is a math person.” It's become a kind of rallying cry in math education. A statement of belief. But is it really true? Or are we over-doing it? It came from a place of countering the narrative that we often hear from students, saying “I'm just not a math person” or “I'm just not good at math.” But is everyone really a math person? And is it OK not to be into math? What are the consequences — good or bad — of telling students that everyone is a math person? We wanted to explore this in more detail with our latest Hot Seat debate: Is Everyone Really a Math Person?You can find Vanessa Vakharia on social media @TheMathGuru and visit her website: MathTherapy.com You can find Chris Nho on social media @nhoskee Chris mentioned the TRU Framework (truframework.org)Rob mentioned A Mathematician's Lament by Paul LockhartListened to the episode? Now, it's your turn to share! Find us on Social Media: @DebateMath to share your thoughts.Don't forget to check out the video version of this podcast on our YouTube channel!Keep up with all the latest info by following @DebateMath or going to debatemath.com. Follow us @Rob_Baier & @cluzniak. And don't forget to rate and review us on Apple Podcasts!

Aris Winger, Math Professor and Executive Director of the National Association of Mathematicians, has experienced first hand how math can save students' lives by uplifting them. Our education system can move beyond workbooks and help students, all students, think crisper and understand what's happening in the world.

How do the binary electronic signals of neurons give rise to subjective experience? Mathematician and machine learning researcher Nina Miolane joined science historian Claire Isabel Webb to explore this question from an unexpected direction: geometry. Plotting the collective firing rate of neurons in 3D space, Miolane's Geometric Intelligence Lab at UC Santa Barbara found the result created a torus. When they trained an artificial neural network on the same task, it converged on the same shape. Miolane posits that biological and artificial intelligence may be reaching for a universal computational design. In this fascinating conversation, Webb and Miolane discussed how geometry is the most ancient branch of physics; it is the language we use to describe the curvature of spacetime and the General Relativity of the universe. Might it also map the universe inside us?

It is said that AI could soon be coming for the jobs of artists, lawyers, and software engineers. But it might now also be threatening a role at the height of academia – are pure mathematicians safe? Last month, a Stanford mathematician woke up to an email, claiming to have the solution to a problem he had been working on for seven years - a 60-year-old conundrum known as Erdos Problem 1196. The answer had been generated in just 80 minutes - by ChatGPT. Since the end of last year, AI has been providing solutions to a number of novel maths problems, but Problem 1196 is the first to raise eyebrows within the mathematical community. In this episode, we talk to the mathematicians who have worked on Problem 1196 and find out what the rise of AI could mean for the future of their field. Our contributors include Katie Steckles, Mathematician and communicator, Jared Duker Lichtman, Szegő assistant professor of mathematics at Stanford University and Liam Price, amateur mathematician. Presenter: Charlotte McDonald Producer: Josh McMinn Sound engineer: Dave O'Neill Editor: Richard Vadon

It's said that AI could soon be coming for the jobs of artists, lawyers, and software engineers. But it might now also be threatening a role at the height of academia – are pure mathematicians safe? Last month, a Stanford mathematician woke up to an email, claiming to have the solution to a problem he'd been working on for seven years - a fifty-year-old conundrum known as "Erdos Problem 1196". The answer had been generated in just 80 minutes - by ChatGPT. Since the end of last year, AI has been providing solutions to a number of novel maths problems, but Problem 1196 is the first to raise eyebrows within the mathematical community. In this episode, we talk to the mathematicians who've worked on Problem 1196 and find out what the rise of AI could mean for the future of their field. CONTRIBUTORS: Katie Steckles, Mathematician and communicator Jared Duker Lichtman, Szegő Assistant Professor of Mathematics at Stanford University Liam Price, amateur mathematician Credits:Presenter: Charlotte McDonald Producer: Josh McMinn Series producer: Tom Colls Production co-ordinator: Brenda Brown Sound mix: Dave O'Neill Editor: Richard Vadon

​ @CosmicSkeptic  Blaise Pascal: Philosopher, Mathematician, Genius. https://youtu.be/jdqjE1lrxQ4?si=dCRdxl9GbwLvL9JI  Estuary Short https://youtube.com/shorts/nOc6SISLkOA?si=i7p4qWoz9bBwT56v     What is the TLC? ("This little corner of the Internet" also know as "the corner" https://youtu.be/Y3vqSjywot8?si=IVS3bnriwje5syPO TLC Search tool. https://tlc.ghost.tel/ The Flotilla List: https://thislittlecorner.net/channels https://www.livingstonescrc.com/give Paul Vander Klay clips channel https://www.youtube.com/channel/UCX0jIcadtoxELSwehCh5QTg https://www.meetup.com/sacramento-estuary/ My Substack https://paulvanderklay.substack.com/ Bridges of meaning https://discord.gg/dydqNawY Estuary Hub Link https://www.estuaryhub.com/ There is a video version of this podcast on YouTube at http://www.youtube.com/paulvanderklay To listen to this on ITunes https://itunes.apple.com/us/podcast/paul-vanderklays-podcast/id1394314333  If you need the RSS feed for your podcast player https://paulvanderklay.podbean.com/feed/  All Amazon links here are part of the Amazon Affiliate Program. Amazon pays me a small commission at no additional cost to you if you buy through one of the product links here. This is is one (free to you) way to support my videos.  https://paypal.me/paulvanderklay Blockchain backup on Lbry https://odysee.com/@paulvanderklay https://www.patreon.com/paulvanderklay Paul's Church Content at Living Stones Channel https://www.youtube.com/channel/UCh7bdktIALZ9Nq41oVCvW-A To support Paul's work by supporting his church give here. https://tithe.ly/give?c=2160640 https://www.livingstonescrc.com/give

We tend to think of math as all about logic and rigor. But what “rigor” actually means has been shaken up quite a few times over the past few centuries. The newest attempt to formalize math comes in the form of the computer program Lean. Mathematicians have mixed feelings. On this episode of The Quanta Podcast, host Samir Patel speaks with math editor Jordana Cepelewicz about how mathematicians today are navigating the tricky balancing act between creativity and formalization. This topic was covered in a recent story for Quanta Magazine. Each week on The Quanta Podcast, Quanta Magazine editor in chief Samir Patel speaks with the people behind the award-winning publication to navigate through some of the most important and mind-expanding questions in science and math.

When ChatGPT first came onto the scene, it wowed users with its writing abilities, but drew laughs for generating images of seven-fingered hands and struggling with basic math, where 2+2 didn't always equal 4. But more recently, things have changed: Google and OpenAI's models bagged gold medals at the International Mathematical Olympiad last year, and now some experts say AI could pose an existential threat to the field of mathematics itself. Mathematicians Emily Riehl and Daniel Litt join Host Flora Lichtman to explore how this technology could change the way math discoveries are made—and what could be lost if things go too far. Guests: Dr. Emily Riehl is a professor of mathematics at Johns Hopkins University in Baltimore, MD. Dr. Daniel Litt is an associate professor of mathematics at the University of Toronto. Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Get Huel today with this exclusive offer for New Customers of 15% OFF with code alexoconnor at https://huel.com/alexoconnor (Minimum $50 purchase).For early, ad-free access to videos, and to support the channel, subscribe to my Substack.Graham Tomlin is a British theologian, author and former Church of England bishop.LINKS:Get Graham's book, Blaise Pascal: The Man Who Made the Modern WorldGraham's organisation, Seen and Unseen TIMESTAMPS:00:00 - Can Blaise Pascal Be Categorised?03:05 - Who Was Blaise Pascal?11:12 - Pascal's First Conversion17:19 - Pascal's “Night of Fire”21:59 - Did Pascal Reject Reason?31:45 - Pascal's War With Descartes42:31 - Did Pascal Invent the Bus?45:42 - The Heart Has Its Reasons, Of Which Reason Knows Nothing50:03 - How Pascal Invented Probability Theory52:29 - Pascal's Wager1:15:35 - The Pensées1:18:30 - Pascal's “Two Minds”1:22:39 - The Importance of Boredom1:26:58 - Why Should Atheists Read Pascal?1:31:34 - What Would Graham Ask Pascal?

Greg Jenner is joined in late antique Egypt by Professor Edith Hall and comedian Olga Koch to learn about the life of mathematician Hypatia of Alexandria. An important mathematical and astronomical thinker, Hypatia is best known today for her brutal death at the hands of Christian fundamentalists. Born to a well-respected mathematician named Theon in fourth-century Alexandria, Hypatia received an unusually advanced education for a woman, and eventually took over her father's school. But with the city in which she lived riven by religious and political conflicts during the declining days of the Roman empire, she came to the attention of radical Christians – with fatal consequences. In this episode we explore Hypatia's trailblazing life as a philosopher and mathematician, and her afterlife as a martyr for intellectual enquiry, and as a certified feminist icon.If you're a fan of trailblazing women from history, religious conflicts, and the twilight of the Roman empire, you'll love our episode on Hypatia of Alexandria.If you want more ancient philosophers with Professor Edith Hall, listen to our episodes on Pythagoras and Aristotle. And for more from Olga Koch, check out our episodes on Ivan the Terrible and Vital Electricity.You're Dead To Me is the comedy podcast that takes history seriously. Every episode, Greg Jenner brings together the best names in history and comedy to learn and laugh about the past.Hosted by: Greg Jenner Research by: Adam Simcox Written by: Dr Emmie Rose Price-Goodfellow, Dr Emma Nagouse, and Greg Jenner Produced by: Dr Emmie Rose Price-Goodfellow and Greg Jenner Audio Producer: Steve Hankey Production Coordinator: Gill Huggett Senior Producer: Dr Emma Nagouse Executive Editor: Philip Sellars