Podcasts about hallucinations

AFB, Anna-G, Josh and Phred welcome back ultrarunner, hospice nurse, and Vermont mountain crusher Lila Gaudrault back to the Cultra Trail Running Podcast to break down her experience at the legendary Cocodona 250. Lila takes us deep into the Arizona suffering machine, explaining how she showed up to a 250-mile race with a surprisingly loose game plan, then spent the better part of the first half battling nausea, dehydration, and the reality that 250 miles is a very long way to travel on foot. We talk about sleep deprivation, hallucination-adjacent trail weirdness, crew and pacer support, and the problem-solving mindset required when you're three days into a race and still have mountains to climb. The conversation explores how Cocodona differs from 100-milers, why the atmosphere at 200+ mile races feels more collaborative than competitive, and what Lila learned about managing fatigue, recovery, and the physical toll of multi-day events. We also dive into the science of gender differences in ultrarunning, pacing strategies, and the unique culture that develops when everyone is equally exhausted. Along the way, we discuss * Cocodona 250 race recap * Sleep strategy and managing fatigue * Nausea, dehydration, and race-day troubleshooting * Crew and pacer support in 200+ mile races * Hallucinations and sleep deprivation * Gender dynamics in ultrarunning * Vermont 100 and Backyard Ultras * Balancing hospice nursing and elite ultrarunning * Future race plans and FKTs * The upcoming CUT112 fundraiser for Connecticut Forest & Parks A four-day journey through the Arizona desert, countless lessons learned, and proof that sometimes the best race plan is figuring it out one aid station at a time. Subscribe to Lil's Substack "Running too Much" Cocodona 250 Get your official Cultra Clothes and other Cultra TRP PodSwag at our store! Outro music by Nick Byram Become a Cultra Crew Patreon Supporter  basic licker.  If you lick us, we will most likely lick you right back Cultra Facebook Fan Page Go here to talk shit and complain and give us advice that we wont follow Cultra Trail Running Instagram Don't watch this with your kids Twitter @BlueBlazeRunner Buy Fred's Book Running Home More Information on the #CUT112   

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcThe SpaceX IPO is coming… and this may be the most bizarre valuation story in the market right now.In this breakdown, we react to a video explaining SpaceX “like you're hallucinating,” and honestly, that might be the only way this valuation starts to make sense. The company is reportedly coming public around a massive valuation, bigger than entire groups of major companies combined, and the official story is that the future growth justifies the price.But the deeper question is where that number actually came from. We dig into the idea that the IPO valuation may be tied less to normal financial modeling and more to Elon Musk's compensation targets, internal transactions, massive TAM assumptions, and accounting inputs that stretch far beyond what most public companies use.That's why this SpaceX IPO feels different. The valuation, the rule changes, the tiny float, the index fund implications, and the rush to get it public all keep pointing back to the same warning: retail investors may be buying a story before there is any real trend to trade.✅ SpaceX IPO valuation and $1.75 trillion hype✅ Revenue multiples, TAM assumptions, and Elon compensation targets✅ XAI roll-up, stock-based compensation, and 30-year option assumptions✅ Why IPO price action needs time to prove itself✅ OVTLYR trading discipline, trend signals, and avoiding FOMOIf you're thinking about buying SpaceX the second it goes public, this one gives you another reason to slow down, step back, and let the stock prove itself first.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Jim Love covers four headlines: hackers exploited Instagram's AI support bot to hijack over 20,000 accounts by abusing account recovery and password reset links, prompting Meta to disable the tool, remove faulty code, and add enhanced protections. A UN University report warns AI's environmental footprint extends beyond carbon, projecting data centers could consume 945 TWh annually by 2030 and highlighting growing demands for electricity, cooling water, land, and minerals, amid political backlash to data center incentives. A UK government review found false information from a Microsoft Copilot hallucination and other inaccuracies were included in West Midlands Police materials, pointing to failures in review and validation. CBC News also identified at least 14 foreign-linked Facebook accounts posing as Albertans in separatist groups, raising concerns about deceptive political participation and platform responsibility. 00:00 Today's Tech Headlines 00:36 Instagram Bot Account Hijacks 02:03 AI Agents Security Lessons 03:12 UN Report AI Resource Footprint 05:38 Copilot Hallucination Police Report 08:11 Fake Albertans in Facebook Groups 11:04 Wrap Up and Support the Show

Anas Instagram : https://www.instagram.com/zssnasMiloud Instagram : https://www.instagram.com/miloudbelarebiaChapters:00:00:00 - مقدمة الحلقة والترحيب بالضيف ميلود 00:02:42 - قصة الضيف مع اللغة الإنجليزية وفضل الأستاذ (الأب) 00:05:01 - ذكريات ولاد القليعة وكيفاش البيئة كتأثر على النجاح 00:07:25 - بداية الرحلة في فرنسا والتخصص في الرياضيات والذكاء الاصطناعي 00:12:40 - شنو هو الذكاء الاصطناعي (AI) واش حنا دابا في مرحلة الـ AGI؟ 00:16:26 - تطور ChatGPT وكيفاش تبدلات علاقتنا بالذكاء الاصطناعي 00:20:25 - واش الذكاء الاصطناعي كيغبي بنادم وكيقتل التفكير النقدي؟ 00:24:06 - مستقبل الديفلوبمون (Development) واش الـ AI غياخد بلاصة المبرمجين؟ 00:30:38 - نصائح للطلبة: واش باقي ما يدار في مجال الـ IT والديف؟ 00:33:24 - كيفاش تخدم بروفيلك باش تساير سوق الشغل في 2026 00:36:47 - الفرق بين الـ AI والماشين لورنين (Machine Learning) والديب لورنين 00:44:03 - شرح الـ LLMs، التوكنز (Tokens)، وكيفاش الموديل كيتوقع الكلمات 00:56:01 - مقارنة بين ChatGPT، Claude، وGemini: شكون الأحسن؟ 00:58:24 - علاش الموديلات كيغلطو (Hallucination) وكيفاش تتعامل معهم؟ 01:02:14 - أسرار البرومبتينغ (Prompting) وكيفاش تخرج أحسن نتيجة من الموديل 01:06:05 - كيفاش تحمي بياناتك الحساسة وتخدم بالموديلات لوكال (Local) 01:13:21 - تحليل داتا العيد الكبير: واش كاين خصاص بصح في الحوالة؟ 01:20:00 - علاش الحولي غالي؟ (مفارقة العام زين وسيكولوجية الكساب) 01:31:00 - تأثير الثقافة والشناقة على أثمنة الأضاحي في المغرب 01:37:25 - كيفاش ميلود استعمل الداتا باش ياخد الجنسية الفرنسية دغيا 01:45:51 - خاتمة ونصائح للطلبة والشباب بخصوص القراية والمستقبل*******************************************************************Follow WLEP on IG: https://www.instagram.com/wladlhajexperienceListen on Spotify: https://spoti.fi/3w1beaGI stream on Kick: https://kick.com/wladlhajexperienceI stream on Twitch : https://www.twitch.tv/anasokaaJoin our community on Discord: https://discord.gg/XTVf8cCnSy#بودكاست #podcast #maroc #المغرب

AI can generate an answer in seconds. The harder question is whether it is the right answer to the right question, and what you actually do with it.In this episode, Kate Megaw, Anu Smalley, and Ryan Smith dig into what “human in the loop” really means, and why so many AI transformations are failing. Forbes puts enterprise generative AI failure near 95%, and RAND says more than 80% of AI projects miss. The pattern echoes the early Agile years: chasing a shiny tool without knowing what problem it solves.AI sees the data. Humans see the story behind it. The human brings context, ethics, and judgment, and stays the ethical guardian who catches the hallucination and the answer that is right for the wrong reasons.In this episode, we discuss:The human algorithm - turning AI outputs into real outcomes through context, ethics, and judgmentWhy AI sees the data but only humans see the story behind itAnu's five workflow principles for human-led AI, including protecting the retro and naming a human decision owner for every recommendationWhy so many AI transformations fail, and how it mirrors the early Agile yearsAI-enabled vs. AI-native organizations, and why native winsUsing AI as a tool versus trusting it to run the businessChoosing the right tool for the job instead of defaulting to one model for everythingThe ethical guardian role - catching not just what AI gets wrong, but what it gets right for the wrong reasonsKnowing when to trust AI, when to challenge it, and when to override it Just because AI can do something does not mean it should. That is where humans come in. We are not using AI to replace thinking. We are creating more space for higher quality thinking for the human in the loop.Referenced in this episode: the documentary How I Became an Apocalyptimist (Daniel Rohrer), the Conan O'Brien podcast on how tools change but the task doesn't, the New York Times feature on Box adding AI roles, and the AI-native shift discussed at the Miro Canvas conference.

In this episode we talk to Mumbai-based artist and UCLA assistant professor Sahej Rahal, whose practice spans sculpture, video games, AI simulations, film, and painting. Starting from three excerpts of Rahal's text Hallucination Stream we discuss how the micro-fictions of Simulation, Story and Rumour explore caste as a mythology sustained through narrative, hallucination, and political performance. Across the conversation, Rahal reflects on ghosts, digital folklore, cooperative gaming, and the role of art in confronting systems of power.This mini-series is commissioned by the Henry Moore Institute @henrymooreinstitute as a part of their program for their exhibition Phantasmagoria: Folkloric Sculpture for the Digital Age, open 15th May - 30th August 2026.Bio;Sahej Rahal (born 1988, Mumbai, India) is an artist and assistant professor of Design Media Arts at, UCLA. Rahal is primarily a storyteller. He creates counter-mythologies that interrogate narrations of the present. This myth world takes the shape of sculptures, performances, films, paintings, installations, video games, and AI simulation programs. Drawing upon folklore, prophecies, archaeological conspiracies, hidden histories, and occult manuscripts, he renders scenarios where the fictive and the real begin to converse, at the borderlines of myth and memory.Voice actor Nivedita Nair Sound designer John TrevaskisBroadcast through @rtm.fmArtist @sahejrahal Host @influential_bro @_rebecca.edwards @niamhschmidtke Music @joemoss1 @jtre_vwww.futureartefactsfm.com

What a glorious month of May! To Jesus be all the glory for a destiny-shaping visit from God's servants, Rev. Tunde and Tina Bolanta. We will continue our rebuilding in light by dismantling the anti-light forces of hallucination, illusion, and delusion. Are you ready to shine brighter? Invite your friends and family to this destiny-defining service. _________Connect with CCCG

What a glorious month of May! To Jesus be all the glory for a destiny-shaping visit from God's servants, Rev. Tunde and Tina Bolanta. We will continue our rebuilding in light by dismantling the anti-light forces of hallucination, illusion, and delusion. Are you ready to shine brighter? Invite your friends and family to this destiny-defining service. _________Connect with CCCG

We're now three weeks from the excitement of Vienna and crowning a new winner, so now what the heck do we do? Well, one of our favorite guests, the President of OGAE Ireland, Frank returns with some advice and to discuss Amsterdam's Het Grote Songfestivalfeest, aka, The Big Eurovision Party. Both Dimitry and Frank attended last year's celebration, so if you're needing a Eurovision fix, we've got you covered. Jeremy's dreaming of both heaven & earth, Dimitry asks where are you of certain acts in the broadcast, and Frank discusses his new religion.  Watch the NRK broadcast of Het Grote Songfestivalfeest 2025 here: https://drive.google.com/file/d/1t95XTMX2JGMIZQhXrpdK88Qkm5LkOfGW/view Watch the Dutch broadcast of Het Grote Songfestivalfeest 2025 here: https://npo.nl/start/serie/het-grote-songfestivalfeest/afleveringen/seizoen-4_1 Fill out the EBU's Eurofan Voice 2026 survey and let them know what you're thinking: https://survey.alchemer.eu/s3/91094056/Eurofan-Voice-2026 Vote on which themed playlists we should add to our Spotify account: https://docs.google.com/forms/d/1LdUKjw9GdNMfZUp1AKVY6lQ5QCeL2wZySp2ZbOsWicQ/edit This week's companion playlist: https://open.spotify.com/playlist/0GZkyJYPQmgmTzshgvsESt Help support this show and unlock bonus content! Become a member at https://maximumfun.org/joineurovangelistsEurovangelists is an American Eurovision podcast, made in the US for Eurovision fans worldwide. The Eurovangelists are Jeremy Bent, Oscar Montoya and Dimitry Pompée.The theme was arranged and recorded by Cody McCorry and Faye Fadem, and the logo was designed by Tom Deja.Production support for this show was provided by the Maximum Fun network.The show is edited by Jeremy Bent with audio mixing help was courtesy of Shane O'Connell.Find Eurovangelists on social media as @eurovangelists on Instagram and @eurovangelists.com on Bluesky, or send us an email at eurovangelists@gmail.com. Head to https://maxfunstore.com/collections/eurovangelists for Eurovangelists merch. Also follow the Eurovangelists account on Spotify and check out our playlists of Eurovision hits, competitors in upcoming national finals, and companion playlists to every single episode, including this one!

What if some of the most promising tools for treating depression, PTSD, and trauma have been misunderstood for decades? In this episode, I sit down with Dr. Keith Kurlander and Dr. Will Van Derveer, co-founders of the Integrative Psychiatry Institute and authors of Psychedelic Therapy, to unpack the science, risks, and potential of psychedelic-assisted therapy. We discuss MDMA, psilocybin, ketamine, trauma, healing, and why these treatments are gaining so much attention in modern mental healthcare.  → ⁠Leave Us A Voice Message!  Topics Discussed: → What is psychedelic-assisted therapy? → Can MDMA help treat PTSD? → How does ketamine therapy work? → Is psilocybin effective for depression? → What are the risks of psychedelics? Sponsored By:  → Timeline | Timeline's clinically proven formula is now more accessible. Mitopure starts at $99, and listeners can get 20% off at: https://timeline.com/KELLY → Be Well By Kelly Protein Powder & Essentials | Get $10 off your order with PODCAST10 at https://bewellbykelly.com. → Fatty 15 | Fatty15 is on a mission to replenish your C15 levels and restore your long-term health. You can get an additional 15% off their 90-day subscription Starter Kit by going to https://fatty15.com/KELLY15 and using code KELLY15 at checkout. Timestamps:  → 00:00:00 - Introduction  → 00:04:25 - From Traditional Psychiatry To Psychedelic Medicine → 00:06:20 - Root Causes Of Mental Health Conditions → 00:07:20 - MDMA Therapy For PTSD → 00:10:20 - Keith's Personal Psilocybin Experience → 00:15:40 - Why Psychedelic Experiences Can Feel Scary → 00:19:00 - Kelly's Personal Trauma Healing Story → 00:24:00 - MDMA, Ketamine & Psilocybin Explained → 00:25:40 - Ketamine Therapy For Depression → 00:27:00 - Why MDMA Works For Trauma → 00:31:40 - Lifestyle, Nutrition & Mental Health → 00:34:30 - Who Is A Good Candidate For Psychedelic Therapy? → 00:39:30 - What Trauma Actually Is → 00:42:10 - How Psychedelics Help Process Trauma → 00:47:50 - The Latest Psychedelic Research → 00:49:50 - Ibogaine, Addiction & Brain Injury Recovery → 00:51:10 - Mystical Experiences & Healing → 00:55:20 - Psychedelics For Personal Growth → 01:00:30 - Hallucinations, Memory & Reality → 01:04:40 - Risks, Integration & Challenging Experiences → 01:09:20 - Finding A Qualified Psychedelic Therapist → 01:12:30 - Psychedelics vs Antidepressants → 01:14:50 - Why DIY Psychedelics Can Be Dangerous → 01:18:30 - Final Thoughts Further Listening:  → Why Achievement Never Feels Like Enough | Bill Burnett + Dave Evans Check Out: → Keith Kurlander | https://www.instagram.com/keithkurlander.ma/ → Will Van Derveer | https://www.instagram.com/will.vanderveer.md/ Check Out Kelly: → ⁠Instagram⁠ → ⁠Youtube⁠ → ⁠Facebook

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This week, we're joined by writer, academic and creator John Duncan to talk about the effects Large Language Models are having on academic writing and research. John talks about the growing number of AI hallucinations that are appearing in academic papers and articles and what it reveals about the poor working and pay conditions of academics in the UK and around the world. John also talks about the dangers this poses to future research and knowledge production, which might be bad if we ever face a public health crisis again. We also talk about the Pope's Encyclical on the AI industry, why it's less radical or revolutionary than has been reported, and why any notion of ‘ethical AI' should be disregarded.  Subscribe to John's channel: https://www.youtube.com/@JohntheDuncan support John on Patreon! : https://www.patreon.com/johntheduncan ------- PALESTINE  AID LINKS -You can donate to Medical Aid for Palestinians and other charities using the links below. https://www.map.org.uk/donate/donate https://www.savethechildren.org.uk/how-you-can-help/emergencies/gaza-israel-conflict -Palestinian Communist Youth Union, which is doing a food and water effort, and is part of the official communist party of Palestine https://www.gofundme.com/f/to-preserve-whats-left-of-humanity-global-solidarity -Water is Life, a water distribution project in North Gaza affiliated with an Indigenous American organization and the Freedom Flotilla https://www.waterislifegaza.org/ -Vegetable Distribution Fund, which secured and delivers fresh veg, affiliated with Freedom Flotilla also https://www.instagram.com/linking/fundraiser?fundraiser_id=1102739514947848 -Thamra, which distributes herb and veg seedlings, repairs and maintains water infrastructure, and distributes food made with replanted veg patches https://www.gofundme.com/f/support-thamra-cultivating-resilience-in-gaza -------- PHOEBE ALERT Okay, now that we have your attention; check out her Substack Here! Check out Masters of our Domain with Milo and Patrick, here! -------- Ten Thousand Posts is a show about how everything is posting. It's hosted by Hussein (@HKesvani), Phoebe (@PRHRoy) and produced by Devon (@Devon_onEarth).

Qu'est-ce qu'un physicien fait dans un laboratoire d'IA ? Il pose les bonnes questions.C'est le fil conducteur du parcours de Sofiane Schaack, directeur Data & IA chez Capgemini Invent. De la mécanique quantique à la modélisation du vol, jusqu'aux grands modèles de langage, il n'a jamais cessé de chercher à comprendre ce qui se cache derrière les systèmes.Dans cet épisode du Lab, il raconte ce chemin peu commun : ses débuts comme codeur autodidacte, son passage par la recherche puis le conseil, et la manière dont il a construit une activité d'IA à la croisée de la physique et des données.Mais surtout, il partage les questions qui l'animent aujourd'hui : que se passe-t-il réellement à l'intérieur d'un réseau de neurones ? Que représentent ces modèles… et que comprennent-ils vraiment ?Un épisode qui invite à prendre du recul. Sur l'IA, et sur notre propre façon de comprendre le monde.

**Sponsored by EasyDNS** Move your domain or web hosting to EasyDNS and support Not On Record: https://easydns.com/NotOnRecord Use promo code: **notonrecord** In Episode 214 of *Not On Record*, criminal defence lawyer Joseph Neuberger and Diana Davison examine the important Ontario Court of Appeal decision R. v. C.P., 2026 ONCA 333 and discuss how mental illness can properly factor into assessing witness reliability and credibility in criminal trials. The case involved allegations of sexual assault against a biological father and raised complex questions about a complainant who had a documented history of hallucinations, delusions, medication non-compliance, and street drug use during the period of the alleged offences. The Court of Appeal was asked to determine whether the trial judge improperly relied on myths and stereotypes about mental illness when acquitting the accused. Joseph and Diana explain the critical legal distinction between credibility and reliability, why mental illness alone cannot be used to discount a witness's evidence, and when case-specific evidence of hallucinations, delusions, panic attacks, psychiatric symptoms, or medication issues may legitimately become relevant at trial. They also discuss third-party psychiatric records applications, the evidentiary foundation required to raise mental health issues in court, and why judges must carefully avoid discriminatory reasoning while still assessing reliability based on evidence. This episode provides valuable guidance for criminal lawyers, law students, and anyone interested in how Canadian courts balance fairness, mental health considerations, and the search for truth in the justice system. ### **Chapters** **00:00** Introduction to R. v. C.P. (2026 ONCA 333) **02:19** Mental illness, credibility, and reliability explained **04:21** Hallucinations, delusions, medication, and street drug use **07:10** Crown appeal and myths about mental illness **10:13** Evidence supporting reliability concerns **14:29** Accessing psychiatric and therapy records in criminal cases **16:11** Why the Court of Appeal upheld the acquittal **21:34** Lessons for lawyers handling mental health evidence

This Day in Legal History: The First Act of CongressOn this day in 1789, President George Washington signed the first statute ever enacted by Congress under the new Constitution — “An Act to Regulate the Time and Manner of Administering Certain Oaths,” codified at 1 Stat. 23. The substance was modest: the law prescribed the form of the oath that members of Congress, federal judges, and executive officers were to take to support the Constitution, and gave the states a window in which to swear in their own officials. But the symbolism was enormous. It was the first time the new federal government did the thing governments actually do, which is to pass a law and require people to obey it, and the choice of subject was telling.Before Congress regulated commerce, levied taxes, or built courts, it bound its own officers to the Constitution by oath. The oath clauses in Article II and Article VI have been doing quiet doctrinal work ever since: they ground the Supremacy Clause, they undergird Marbury's claim that judges are bound to follow the Constitution as supreme law, and they sit at the center of the Fourteenth Amendment, Section 3 disqualification debate that the Supreme Court took up in Trump v. Anderson just two years ago. The Oath Act of 1789 is not the kind of statute that gets quoted on bar exams, but it is the original instance of Congress speaking in legal form, and everything the federal government has done since rests on top of it.Uber went after one of its own bellwether plaintiffs Friday in the sprawling multidistrict litigation over alleged passenger sexual assaults, asking U.S. Magistrate Judge Lisa J. Cisneros in the Northern District of California to impose sanctions on plaintiff B.L. and her counsel at Wagstaff Law Firm for what Uber called “pervasive bad faith” in discovery.The headline accusation, made by Kirkland & Ellis's Michael Vives for Uber, is that B.L.'s privilege log cites cases that don't exist — what Vives suggested may be “hallucinated case law” generated by an AI tool — and Vives floated that as an independent basis for sanctions on top of the alleged document withholding, redactions, and undisclosed witnesses Uber catalogued in its April motion.he legal vehicle here is Federal Rule of Civil Procedure 37, which gives a federal court a tiered menu of sanctions for discovery misconduct — fees and costs at the low end, adverse-inference instructions and claim preclusion at the high end — and Uber is asking the court to throw B.L.'s case out of the next bellwether wave entirely. Judge Cisneros noticed during the hearing that what struck her about the briefing was the pattern, not any single incident; she pointed to one example where the plaintiff identified a person as a “friend” and only later produced a fuller set of text messages showing the person was actually a therapist.The judge ordered the plaintiff to file a sur-reply by Thursday before ruling, which means a sanctions order is now teed up. The case sits within In re Uber Technologies, Inc., Passenger Sexual Assault Litigation (MDL No. 3084) before Judge Charles R. Breyer, and any sanctions ruling will set the tone for how the rest of the bellwether pool conducts discovery. If the hallucinated-caselaw piece sticks, this also becomes one of the first real Rule 11 / Rule 37 hybrid sanctions vehicles for generative AI misuse in the MDL context — and the bar will be reading it closely.‘Pervasive Bad Faith': Uber Targets Sex Assault MDL Plaintiff | Law360The Seventh Circuit on Friday told the Northern District of Illinois that the now-standard practice of serving Chinese e-commerce defendants by email in “Schedule A” trademark cases doesn't fly under the Hague Service Convention — at least not when the convention applies, which is a question the district court has to actually answer first. The dispute came up in Kangol LLC v. Hangzhou Chuanyue Silk Import & Export Co., No. 25-2205, where the hat-maker Kangol sued more than twenty Chinese vendors for trademark infringement and identified them on a sealed “Schedule A” exhibit attached to the complaint — the same procedural pattern that drives the enormous Schedule A docket in Chicago's federal court.Kangol got a default judgment after serving the defendants by email, but one defendant, Hangzhou Chuanyue, appeared and moved to vacate, arguing that the Hague Convention prohibits email service in China and that the convention applies because Hangzhou's address is discoverable. The legal hook is Article 10(a) of the Hague Service Convention, which permits service “by postal channels” only when the destination state has not objected — and China has affirmatively objected to Article 10(a), full stop.The Seventh Circuit, citing the Supreme Court's 2017 decision in Water Splash, Inc. v. Menon, held that whether or not email counts as a “postal channel,” Article 10(a) is unavailable in China, so email service in this case was improper if the convention applied at all. The panel — Judges Thomas Kirsch, Candace Jackson-Akiwumi, and Doris Pryor — reversed the denial of Hangzhou's motion to vacate and sent the case back for the threshold question the district court skipped: did Kangol make reasonably diligent efforts to find Hangzhou's address, which would have triggered the convention.The practical fallout will reach hundreds, possibly thousands, of pending Schedule A cases in Chicago that rely on email service as a matter of course, and plaintiff firms in this space will be scrambling to redo their service strategy.7th Circ. Revives Chinese IP Defendants' Email Service Case | Law360The Judicial Panel on Multidistrict Litigation on Thursday transferred Randall King's proposed class action — the vehicle for a proposed $7.25 billion Roundup settlement with Monsanto — into the Northern District of California MDL before Judge Vince Chhabria, despite vehement objections from absent class members who want the case to stay in Missouri state court.The case-within-a-case is unusual: the King action was filed and preliminarily settled in Missouri state court, then a group of objectors (represented by Keller Postman) removed it to federal court under the Class Action Fairness Act, and the JPML then tagged it for transfer to the consolidated Roundup MDL. The legal hook here is 28 U.S.C. § 1407, the JPML's transfer authority — paired with CAFA's removal rules, which the settling plaintiffs argue were misused because the objectors aren't “defendants” within the meaning of § 1453 and so cannot remove.The objectors counter that the $7.25 billion deal “launders a liability-management scheme through the courts” by funneling claims of Roundup cancer victims through a Missouri state-court class that an MDL judge would never approve, and they want federal-court scrutiny under Rule 23 and the standards Judge Chhabria has spent years developing in the Roundup litigation. Monsanto, for its part, is on the objectors' side of the venue question — at least tactically — telling Law360 that the case should go back to Missouri state court and it will move to oppose the transfer order.The whole fight is also tied up with the Supreme Court's pending decision in a separate Monsanto case that will determine whether the deal survives at all, because the proposed $7.25 billion is structured around what the Court does there. Whichever way this remand/transfer fight comes out, it is going to be cited in every future class-settlement-jurisdiction tug-of-war for the rest of the decade.$7.25B Roundup Deal Sent To Calif. MDL | Law360A U.S. district judge in Florida said Saturday she will take a closer look at the settlement the Trump administration has reached with itself — or more precisely, with President Trump in his personal capacity — over a long-running IRS lawsuit, scheduling further proceedings to examine whether the deal can stand.The procedural posture is what makes this one interesting: the case involves a federal agency under the President's control settling claims with the President personally, which raises immediate questions about whether anyone is actually adverse to anyone, and whether the resulting consent decree or stipulation can carry the legal weight a normal settlement does. The legal mechanism the judge appears to be invoking is the federal court's inherent supervisory authority over consent decrees and settlements involving the federal government, an authority that runs through cases like Local No. 93 v. City of Cleveland and that the Tunney Act formalizes for antitrust settlements — though here there is no Tunney Act, just the general principle that a federal court doesn't have to rubber-stamp a settlement when there are serious questions about whether the United States was actually represented in the negotiation.The hearing on the issue was set for late May in Miami, with the judge reportedly skeptical that the deal can be approved without further factual development. The political stakes are obvious, but the legal stakes are arguably bigger: if the court can refuse to approve the settlement on the ground that the executive branch was not adverse to itself in any meaningful way, it would create a precedent that constrains every future administration's ability to make its own personal litigation go away through agency action. Expect this one to generate appellate motion practice within weeks.US judge orders review of Trump's IRS lawsuit settlement | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

What a glorious month of May! To Jesus be all the glory for a destiny-shaping visit from God's servants, Rev. Tunde and Tina Bolanta. We will continue our rebuilding in light by dismantling the anti-light forces of hallucination, illusion, and delusion. Are you ready to shine brighter? Invite your friends and family to this destiny-defining service._________Connect with CCCG

Shipping blablabla with a fantasy story of hallucination

This candid interview is a great listen for anyone feeling lonely or unsure of where their life is heading or wants to learn to love & value themself. The best-selling Gen X author tells Lorraine & Trish about her remarkable midlife awakening, detailed in her new memoir, Rewilding: Freedom, Fearlessness & Finding Our Way Home. In a powerful conversation she explains the decision to leave her husband, her New York home & the life she'd built over 25 years to move to Marrakech after her career hit a downward spiral. She reveals how she loves living alone & starting again financially. After asking herself the question ‘who would I be if I didn't care what anyone else thought?' Jane goes on a ‘rewilding' journey. Along the way she rediscovers sex & dating, learns to live alone without being lonely & becomes her true authentic self. Plus: Will Lorraine's pelvic floor hold up with her new bouncy exercise regime!!Contact: hello@postcardsfrommidlife.comInstagram: @postcardsfrommidlifeJoin our private Facebook Group here Hosted on Acast. See acast.com/privacy for more information.

My guest today is a good friend and colleague - and not to forget with whom I was a co-author for a book, Paramu Kurumathur.In this episode, Paramu discusses how his recent development work evolved from small Google Apps Script utilities copied and adapted from online examples to building AI-connected applications via APIs to tools like Gemini and ChatGPT, including enabling Q&A over his book content. He describes surprises from “conversing” with his books—especially that LLMs retain details he has forgotten—while noting key risks such as hallucinations and the need for precise prompts. He explains learning Cursor with guidance from our colleague, Raja, discovering that it can generate code, and rapidly producing a proof of concept that maps citizens to the Government welfare schemes using PDFs, Chroma DB, sentence transformers, and queues—work that took about a week instead of months. The conversation contrasts older development eras with today's dependency-heavy environments, argues many SDLC intermediate steps are compressed, and highlights transferable mid-career skills in requirements and problem translation, alongside concerns about limited debugging and testing depth.The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section00:00 Welcome and Setup01:16 Rediscovering Coding via Apps Script02:02 Connecting Scripts to LLM APIs03:21 Talking to Your Own Book05:32 Hallucinations and Prompt Control06:50 Learning Cursor and Building a POC09:09 Old School Dev vs Modern Tooling12:00 AI Changes the SDLC13:36 Testing and Trusting AI Output15:10 Debugging Gaps and Assumptions16:34 Setting AI Standards17:20 Mid Career Transfer Skills18:48 Prompting Without Hallucinations20:21 Courses vs Learning by Doing23:25 Overcoming First Step Fear25:24 LLM Limits in Astronomy28:24 Cursor for Reliable Code29:37 Anybody Can Code Now31:13 Next Projects and Wrap Up

Are we prepared for the massive socio-economic divide of the looming quantum computing era?In this deep-dive episode of The Edge of Show, sponsored by Datavault AI, we welcomed Nathaniel Bradley, CEO and co-founder of Datavault AI. A prolific inventor holding over 70 patents , Bradley unpacks the shift from binary computing to quantum light computing, and what it means for human talent, data sovereignty, and security.Discover how Datavault AI is building the ultimate "toll booth" for digital assets. And how they outline their agnostic blockchain framework, which allows corporations to manage, evaluate, and monetize data using NASDAQ-backed systems. Also discover a groundbreaking perspective on robotics: introducing high-definition audio and wireless interoperability to give robots a universal communication layer.If you want to know how blockchain, AI, and quantum keys are turning data from a cost center into a massive revenue generator, this episode is a must-watch.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.com

Lauren Jones.Lauren balances a demanding career as a pediatric nurse anesthetist, family life, and somehow still finds time to chase some of the hardest endurance goals imaginable. Multi-day races. Cocodona. Fixed time racing. Running over 150 miles in 24 hours. Team USA. Hallucinations. DNFs. Successes. Failures.We talk about balancing life with training, learning how to fail without letting it define you, why hard things can make other hard things easier, and how radical acceptance of failure can unlock growth.Lauren shares stories from Cocodona, fixed time racing, hallucinating deep into ultramarathons, running 154 miles in a day, and what keeps bringing her back to difficult challenges.We also talk about getting back into running after Cocodona, Memorial Day reflections, honoring sacrifice, and why maybe the point isn't perfection. Maybe the point is showing up anyway.Topics:• Cocodona 250• Fixed time racing and Desert Solstice• Running 154 miles in 24 hours• Team USA experience• DNFs and learning from failure• Hallucinations and sleep deprivation• Balancing career, family, and training• Mental strategies for ultrarunning• Why we keep choosing hard thingsThanks to Janji, Garage Grown Gear, Northeast Trail Adventures, and Montana Meltdown for supporting the show.Support our Sponsors: Sawyer: https://sawyerdirect.net/Janji (code: Freeoutside): https://snp.link/a0bfb726CS Coffee: CSinstant.coffeeGarage Grown Gear: https://snp.link/db1ba8abSubscribe to Substack: http://freeoutside.substack.comSupport this content on patreon: HTTP://patreon.com/freeoutsideBuy my book "Free Outside" on Amazon: https://amzn.to/39LpoSFEmail me to buy a signed copy of my book, "Free Outside" at jeff@freeoutside.comWatch the movie about setting the record on the Colorado Trail: https://tubitv.com/movies/100019916/free-outsideWebsite: www.Freeoutside.comInstagram: thefreeoutsidefacebook: www.facebook.com/freeoutside#Trailrunning #Runningnews #Outdoors #Outdooradventure

Podcast: Don't Panic! It's Just DataGuest: Michael Marolda, Senior Product Marketing Manager for Agentic RAG at Progress SoftwareHost: Shubhangi Dua, Podcast Producer and B2B Tech Journalist at EM360TechGenerative AI has been brewing in the enterprise tech industry for at least three years now. AI pilots are launching every other day, internal copilots are deployed across enterprise divisions, and now teams themselves are experimenting with large language models (LLMs) to automate business workflows. Such additions have sped up research and notably improved productivity.While the excitement is valid, the truth beneath is often disregarded. Many enterprise AI systems produce answers that sound convincing, even when they are completely wrong.In the recent episode of the Don't Panic! It's Just Data podcast, Michael Marolda, Senior Product Marketing Manager for Agentic RAG at Progress Software, sat down with host Shubhangi Dua, Podcast Producer and B2B Tech Journalist at EM360Tech.Marolda argued that the problem is not necessarily with the AI models themselves. The real issue is with the enterprise data foundations supporting them.“Your AI is only as good as the knowledge it has access to,” Marolda explained during the conversation. The question is what the gap is alluded to in the AI enterprise tech space.Also Read: Build vs. Buy: The Reality of Production-Grade RAGWhat's the Hidden Risk Costing Enterprises?According to Marolda, around 80 per cent of enterprise data remains unstructured. This includes PDFs, contracts, emails, audio files, presentations, scanned documents, videos, and handwritten notes. This is the kind of information that traditional AI systems struggle to process reliably.While enterprises are heavily investing in AI infrastructure and model testing, many still do not have systems capable of organising, retrieving, and validating this scattered knowledge. The outcome often turns into a situation where AI tools begin to generate responses without the necessary business context, despite excellent prompt engineering.“We've seen enterprises rush into AI implementations,” Marolda said. “But many pilots fail to scale because the information isn't grounded in real business data.” It ultimately poses major operational risks for companies, especially in highly regulated industries.During the podcast, Marolda mentioned a high-profile case involving an airline chatbot that provided customers with incorrect policy information, leading to legal consequences for the company. The issue was not due to malicious intent or a technical failure at the model level — it was due to unreliable data grounding.For enterprises using AI in customer service, HR, legal operations, finance, or internal knowledge systems, such errors are not rare. In fact, they've become a governance issue.Is Modern RAG the Solution?Enterprises tend to rely on data lakes as centralised storage for vast amounts of information. However, Marolda makes a point about how storage is no longer enough in the age of AI. “A data lake is just cheap storage,” he explained. “A knowledge layer is what actually activates that information for AI.”This difference is increasingly important as enterprises move from testing to operational AI deployment. Traditional storage systems can hold documents, but they cannot interpret relationships between data points, retrieve context semantically, or validate AI-generated outputs against source material.An enterprise knowledge layer, on the other hand, is designed to fill that gap. Marolda tells Dua that modern retrieval-augmented generation (RAG) systems can process unstructured data, apply optical character recognition (OCR), convert speech to text from video and audio, and build semantic connections across enterprise content.This enables AI systems to retrieve not just documents, but highly specific pieces of contextual information, including paragraph-level citations and timestamped video references.For enterprise leaders, the implications are significant. Rather than viewing AI as a separate assistant, enterprises are increasingly seeing AI as a retrieval and reasoning layer built on top of their knowledge ecosystems.How Should Enterprises Prioritise Efficiency Over Hype?The economics of AI was a critical discussion Marolda had with Dua. He noted that while many AI providers continue to push for higher token consumption and larger workloads, enterprises such as Progress Software are now beginning to value efficiency instead.Unlike NVIDIA's enterprise philosophy, as proposed by its CEO Jensen Huang, is a new compensation model where engineers receive annual AI token budgets worth half their base salary on top of regular pay. During a live interview on the All-In Podcast, recorded in San Jose, California, in March 2026 at Nvidia's GPU Technology Conference (GTC), Huang stated: "If a $500,000 Engineer Did Not Consume At Least $250,000 Worth of Tokens, I'm Going To Be Deeply Alarmed."“We're actually trying to reduce token consumption,” he explained. Such an approach contrasts with broader industry trends focused on maximising AI use at scale. As enterprise AI budgets become more established, CIOs and CFOs are scrutinising infrastructure costs, energy consumption, and long-term operational sustainability.It's particularly relevant as enterprises pit multiple LLMs against each other for quality, relevance, and cost efficiency. According to Progress's Sr. Product Marketing Manager, the next phase of enterprise AI adoption won't be driven by model capability alone. It will be guided by practical governance, meaning identifying which systems produce the best results at reasonable costs.Overall, successful AI adoption is not just about selecting the right model but, in fact, pivoting towards building the right knowledge architecture.For instance, enterprises continue to invest in generative AI; the enterprises that thrive may be the ones that can effectively structure, govern, retrieve, and validate their institutional knowledge.Key TakeawaysEnterprise AI hallucinations increase without grounded enterprise data.Agentic RAG helps enterprises reduce AI hallucinations and improve accuracy.Unstructured data is the biggest challenge in enterprise AI adoption.Enterprise knowledge layers improve AI governance and traceability.AI token reduction lowers enterprise AI infrastructure costs.RAG architecture helps enterprises scale trustworthy AI systems.Chapters00:00 Introduction to Enterprise AI and Knowledge Layer02:13 Challenges with Unstructured Data in AI08:11 The Importance of a Knowledge Layer12:04 Trust and Governance in AI Solutions16:48 Progress's Unique Approach to AI Solutions19:15 Agentic RAG: A New Paradigm in AI Retrieval24:52 Real-World Applications of Agentic RAG26:39 Maintaining Quality and Performance in AI Systems28:01 Key Takeaways for IT Decision MakersFor more enterprise AI, Agentic RAG, data governance, and enterprise knowledge layer insights, follow Progress Software across its official channels:Website: Progress SoftwareYouTube: @ProgressSWLinkedIn: Progress SoftwareX: @ProgressSWFor more

This week, Dave and Ben sit down to discuss two legal cases. The first case involves Santa Clara suing Meta over alleged scam ads. The second story looks at a now dismissed case where the lawyers could potentially face consequences for allegedly using fake AI citations in their filings. While this show covers legal topics, and Ben is a lawyer, the views expressed do not constitute legal advice. For official legal advice on any of the topics we cover, please contact your attorney.  Links to today's stories: ⁠Santa Clara County sues Meta over alleged scam ads. ⁠Legal fail: Don't use AI to sue Facebook users for calling you a bad date. Get the weekly Caveat Briefing delivered to your inbox. Like what you heard? Be sure to check out and subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a weekly newsletter available exclusively to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ members on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠N2K CyberWire's⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ website. N2K Pro members receive our Thursday wrap-up covering the latest in privacy, policy, and research news, including incidents, techniques, compliance, trends, and more. This week's Caveat Briefing revisits the Anthropic-White House feud and how the DC lawsuit could offer a potential resolution to the situation. Curious about the details? Head over to the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Caveat Briefing⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for the full scoop and additional compelling stories. Got a question you'd like us to answer on our show? You can send your audio file to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠caveat@thecyberwire.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Hope to hear from you. Learn more about your ad choices. Visit megaphone.fm/adchoices

Most AI conversations focus on models. The better conversation focuses on systems. In this episode, we continue our interview with Matt Levenhagen, exploring a practical challenge many developers are facing: integrating AI into business operations without creating costly chaos. The answer is not buying more AI tools. The answer is building an intentional AI Workflow Architecture. About Matt Levenhagen Matt is the founder and CEO of Unified Web Design, a web development agency focused on custom solutions, WordPress development, e-commerce, memberships, and business systems. His background as both a builder and agency owner gave him a unique perspective on where AI creates real leverage instead of superficial automation. Follow Matt on LinkedIn. AI Workflow Architecture Starts with Context Control One of the most important operational realities Matt discussed was token usage. Businesses rushing into AI often underestimate cost scaling. Every interaction with large models consumes resources, and poorly managed context windows dramatically increase operational expenses. Instead of treating AI like unlimited compute, Matt focused on controlling context intentionally. That included: Monitoring token usage Limiting unnecessary memory loading Structuring retrieval systems Using different models for different tasks Preventing oversized prompts This is a systems-thinking problem, not merely a coding problem. Developers who ignore architecture end up with bloated workflows that become financially unsustainable. The fastest way to make AI unprofitable is to send unnecessary context into every request. Why Retrieval Matters More Than Raw Memory A major breakthrough Matt discussed was implementing Retrieval-Augmented Generation (RAG). This matters because AI systems do not need all the information all the time. They need the right information at the right moment. That distinction completely changes system design. Without retrieval architecture: Costs increase Performance slows Outputs become less accurate Hallucinations increase Operational complexity grows RAG allows systems to retrieve semantically relevant information instead of dumping entire databases into prompts. This transforms AI from brute-force processing into intelligent retrieval. The future of AI operations will likely depend less on giant models and more on efficient information orchestration. AI Workflow Architecture Requires Layer Separation Another valuable concept from the conversation involved separating operational layers. Matt described balancing: Local storage Business memory External AI APIs Workflow automation SaaS integrations This layered architecture creates flexibility. Instead of locking the business into one AI provider, workflows remain adaptable. Different models can handle different workloads depending on cost, complexity, and accuracy requirements. This becomes increasingly important as pricing models fluctuate. Businesses relying entirely on one provider risk operational instability if pricing changes dramatically. Layer separation reduces that risk. The businesses that survive AI cost volatility will be the ones architected for flexibility instead of dependency. Why Embedded AI Features Often Disappoint Matt also discussed the growing wave of SaaS AI integrations. Every platform now markets AI capabilities: Project management tools Communication platforms CRM systems Design software Documentation systems Yet many users feel underwhelmed. The reason is architectural isolation. These tools only understand limited slices of operational context. They automate micro-tasks but rarely improve larger workflows. That creates a false impression that AI itself lacks value when the real issue is fragmented systems. AI becomes more useful as the organizational context becomes more connected. This is why developers building custom operational layers still maintain an enormous strategic advantage. AI Workflow Architecture Is an Operational Discipline The strongest insight from these episodes may be that AI implementation is becoming operational engineering. Success now depends on: Information structure Retrieval design Workflow sequencing Context prioritization Cost management Human oversight This moves AI away from novelty experimentation and toward infrastructure planning. Businesses that treat AI casually will likely accumulate technical debt quickly. Businesses that approach AI architecturally will build scalable operational leverage. AI is no longer just a development tool. It is becoming an operational systems discipline. Developers Must Learn Economic Thinking One overlooked topic in AI discussions is economics. Matt repeatedly referenced balancing capability with cost. This becomes critical because AI pricing models are still evolving rapidly. Businesses that ignore usage economics may accidentally build systems that become financially impossible to scale. Developers now need to think beyond: Can this be built? They also need to ask: Can this be sustained? Can this scale economically? Can context costs remain controlled? Can cheaper models handle simpler tasks? This represents a major evolution in modern software architecture. Review your current AI workflows and identify where unnecessary context or oversized prompts may be increasing costs. Conclusion AI Workflow Architecture is rapidly becoming one of the most important technical disciplines for modern developers. Matt Levenhagen's approach demonstrates that successful AI implementation is less about chasing the newest model and more about designing sustainable operational systems. The companies that gain long-term advantage from AI will not necessarily be the companies using the largest models. They will be the companies with the best architecture. 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In this episode of Fraudology, Karisse Hendrick comes to you from a beachside work-cation in Florida to deliver an essential debrief on the latest shifts in the e-commerce fraud landscape. Fresh off the Accertify Global Customer Summit, Karisse shares key strategic takeaways on why cybersecurity and fraud teams must break down operational silos as fraud signals increasingly move up-funnel.The conversation takes a critical look at the limitations of relying on Large Language Models (LLMs) in risk management. Highlighting a recent blunder where a Top 4 consultancy published a 44-page fraud report riddled with completely fabricated citations and footnotes, Karisse and Dr. Nicola Harding explain why "domain expertise" cannot be automated. Because true fraud insights are kept proprietary to protect them from criminals, open-source AI tools are inherently prone to "hallucinating" facts.We also break down Mastercard's newly announced Scam Merchant Dashboard, which officially goes into effect on July 24th, 2026. This aggressive program places a heavy burden on e-commerce merchants and their acquirers through a multi-trigger framework designed to shut down predatory accounts.Key pillars of Mastercard's new program include:The Authorization Performance Breakdown: A sudden drop in approval rates—such as a 50 percentage point decline or falling below a 30% overall threshold within a 72-hour window—will immediately trigger an investigation.The New Merchant 5% "Math": For accounts open less than six months, Mastercard is introducing a brand-new metric: combining refunds and chargebacks divided by overall sales. Crossing a 5% threshold over a rolling 30-day period (with at least 500 transactions) risks immediate account review.The 72-Hour Termination Clock: Once flagged by issuer complaints or network alerts, acquirers have a strict 72-hour window to either prove the merchant's legitimacy or completely terminate their ability to accept Mastercard.

RIP Democracy - A Crisis Caucus brings together It's News to Us, Cool Nerd Weed Show, and Mood Killers for a two-hour live political comedy special asking the most comforting question possible: are we halfway to fixing democracy, or halfway through watching it fall down a flight of stairs? With the theme “Midway to the Midterms… Will hope be restored or lost and gone forever?”, the episode mixes political panel chaos, comedy games, guest interviews, survival-guide bits, parody ads, cannabis updates, and live listener call-ins. The show kicks off with an introduction to the hosts and the crisis-caucus premise, then immediately throws listeners into State of Pain, a gas price trivia game designed to test both political knowledge and emotional endurance at the pump. Hour one leans into economic dread and generational coping mechanisms with segments like How Emos Can Afford High Gas Prices, How Broke Millennials Can Survive Inflation, and a guest interview with Ben Lapidus. The hour closes with How Gen Z Can Survive the 2026 Midterms, a cannabis update with The Nerds, and the kind of break teases that make listeners wonder whether they should laugh, vote, or stockpile beans. Hour two expands the satire with Headline or Hallucination, a game built for the modern news cycle where reality and AI-generated nonsense are basically in a custody battle. The second hour also features congressional candidate Samantha Mota, giving the panel a chance to talk politics directly while keeping the overall tone sharp, funny, and just unstable enough to match the moment. Overall, the episode is a live, comedic midterm check-in: part political therapy session, part radio variety show, part emergency broadcast from a democracy that may or may not be buffering. LINKShttps://instagram.com/itsnewstoushttps://tiktok.com/@itsnewstous Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

RIP Democracy - A Crisis Caucus brings together It's News to Us, Cool Nerd Weed Show, and Mood Killers for a two-hour live political comedy special asking the most comforting question possible: are we halfway to fixing democracy, or halfway through watching it fall down a flight of stairs? With the theme “Midway to the Midterms… Will hope be restored or lost and gone forever?”, the episode mixes political panel chaos, comedy games, guest interviews, survival-guide bits, parody ads, cannabis updates, and live listener call-ins. The show kicks off with an introduction to the hosts and the crisis-caucus premise, then immediately throws listeners into State of Pain, a gas price trivia game designed to test both political knowledge and emotional endurance at the pump. Hour one leans into economic dread and generational coping mechanisms with segments like How Emos Can Afford High Gas Prices, How Broke Millennials Can Survive Inflation, and a guest interview with Ben Lapidus. The hour closes with How Gen Z Can Survive the 2026 Midterms, a cannabis update with The Nerds, and the kind of break teases that make listeners wonder whether they should laugh, vote, or stockpile beans. Hour two expands the satire with Headline or Hallucination, a game built for the modern news cycle where reality and AI-generated nonsense are basically in a custody battle. The second hour also features congressional candidate Samantha Mota, giving the panel a chance to talk politics directly while keeping the overall tone sharp, funny, and just unstable enough to match the moment. Overall, the episode is a live, comedic midterm check-in: part political therapy session, part radio variety show, part emergency broadcast from a democracy that may or may not be buffering. LINKShttps://instagram.com/itsnewstoushttps://tiktok.com/@itsnewstous Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Joshua Bate, founder of Bonfires.ai and DeciWorld, for a wide-ranging conversation covering knowledge management, graph technology, ontologies, decentralized science, and the future of how humans organize and share information. They break down the differences between personal and enterprise knowledge management, explore why flat ontological graphs may be the key to making diverse knowledge bases interoperable, and get into why traditional RAG systems break down at scale and how graph RAG offers a more principled solution. The conversation expands into the philosophy of categorization, the slow death of basic "gentleman science" under institutional pressures, and how decentralized protocols might restore a kind of mycelial knowledge network connecting small groups of researchers, enthusiasts, and communities — much like the original spirit of the encyclopedia before it was co-opted by institutions. You can learn more about Joshua's work at bonfires.ai and deci.world or follow him on X at @Bonfiresai and @DeSciWorld.Timestamps00:00 - Stewart introduces Joshua Bate, founder of Bonfires.ai, discussing personal versus enterprise knowledge management and their fundamental differences at scale.05:00 - Joshua explains ontologies as classifiers for knowledge structures, describing their two-year search for a perfect ontology and ultimately building a flat, ontology-less graph protocol.10:00 - Stewart connects categorization to shamanic practice and intercategorical theory, noting how major companies like Netflix and Yahoo built graph-based ontologies while the discipline remains underappreciated philosophically.15:00 - Joshua traces Bonfires origins through decentralized science, explaining how NFT community excitement inspired redirecting capital toward funding unconventional researchers locked out of institutional systems.20:00 - Joshua describes building federated knowledge networks through hackathons and conferences, comparing the vision to what Wikipedia could have been with decentralized incentive structures.25:00 - Discussion shifts toward inevitable collapse of rigid scientific institutions, debating patchwork age theory, nation-state fragmentation, and rhizomatic versus arboreal knowledge structures.30:00 - Joshua articulates the mycelial network vision, enabling direct cross-cultural information access where individuals control their own narrative lens, warning against collective we thinking and authoritarianism.Key Insights1. Knowledge management exists on a spectrum from personal to enterprise, but the founder of Bonfires argues this split is artificial. He believes knowledge itself does not respect those boundaries, and that small groups, researchers, hobbyists, and large institutions all possess knowledge that can and should interoperate with each other.2. After two and a half years of searching for the perfect ontology to structure their knowledge graph, the team concluded that no perfect ontology exists. Their solution was to build the flattest possible graph structure with only events, entities, and edges, creating a base layer others can build specialized ontologies on top of.3. Graph-based knowledge systems are more efficient than traditional databases for AI traversal because once a graph is computed, it is relatively free to query. Graph RAG combines the discovery power of vector search with the structured precision of graph traversal, solving many hallucination problems associated with standard retrieval augmented generation.4. Basic scientific research, the soil from which applied discoveries grow, is deteriorating because institutional funding structures only reward commercially viable outcomes. The founder built his platform partly to redirect community-driven capital toward researchers who are doing important work without institutional support.5. The institutionalization of science has historically blocked the open exchange of ideas that drove the original scientific revolution. The human spirit for open inquiry has not changed, but people cannot pursue it without financial support, and building decentralized infrastructure could restore that possibility.6. A federated knowledge network would allow individuals to access information from any contributor and filter it through their own preferred lens, rather than receiving information pre-filtered by centralized platforms. This represents a form of information symmetry similar to how mycelial networks distribute nutrients across a forest.7. The concern is not whether current scientific and governmental institutions will change but in what direction the rebuilding goes. Those capitalizing on the transition carry the same incentives as the previous era, which risks reproducing the same problems inside new structures.

The besties Jon Kelly and Peter Hamby are reunited for a readout of Matt Belloni's expert media C.E.O. comp analysis. Who has been the most overpaid top executive during the past two decade? Whose salary and options underwhelmed? The duo discuss. Meanwhile, they also dig into Byron Allen's seemingly harebrained plan for BuzzFeed. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

A Marine intelligence collector walked through rocket blasts, absorbed traumatic brain injuries he never reported, and came home to hallucinations so severe he planned to end his own life. Dennis Connors, a Marine Corps veteran, human intelligence operator for a tier-one unit, Paralympic silver medalist, and world champion cyclist, sits down with Joe De Sena to break apart the moment grit stops working and what has to replace it.   Dennis lays out his four pillars of perseverance: vulnerability, self-love, disciplined action, and community. He explains why toughness without honesty becomes a death sentence, why identity tied to achievement collapses under pressure, and how cycling gave him both a recovery tool and a tribe that pushed him toward the help he refused to ask for.   Things You Will Learn: When grit becomes a liability and what structured perseverance looks like before breakdown hits. The four pillars that replaced white-knuckling it and why each one matters in sequence. Why identity tied to achievement collapses under pressure, and what to anchor self-worth to instead.   Tools & Frameworks Covered: Four Pillars of Perseverance: Vulnerability, self-love, disciplined action, and community. A structured framework for long-term recovery and sustained performance. Grit vs. Perseverance Distinction: Grit handles short-term strain. Perseverance handles the years. Know which mode you are in before it fails. Identity Separation Protocol: Detach identity from a single role so transitions do not destroy self-worth.   If this episode moved you, do not just listen. Do something about it. Sign up. Show up. Do the work. Spartan.com. No more excuses.   Dennis Connors is a U.S. Marine Corps intelligence veteran whose path changed after traumatic brain injuries and a stroke forced him to rebuild his life through adaptive sport. He went on to become a Paralympic silver medalist and world champion, continuing to chase challenge through paracycling and paraclimbing, embodying resilience, reinvention, and purpose through adversity.   Connect to Dennis:  Website: https://dennisconnorsusa.com/  Instagram: https://www.instagram.com/dc_rides_trikes/  Facebook: https://www.facebook.com/dcridestrikes   We gave you the tools, now use them during your next SPARTAN RACE! Use codeword PODCAST on checkout for 10% your next race.  

What is money? And what can a small island in Micronesia teach us about how it works? On Yap, a remote island in the western Pacific, giant calcite “Rai” stones once functioned as currency, where ownership and collective trust — rather than physical possession — defined wealth and status. In this episode of The Story of Money, macroeconomist and author Felix Martin joins hosts Gillian Tett and Robin Wigglesworth to explore the stones of Yap, the origins of money and why the traditional “barter theory” may be a myth.Further reading: Money: The Unauthorised Biography (2015) by Felix Martin Uap of the Carolines (1910) by William Henry Furness IIIA Treatise on Money (1930) by John Maynard Keynes The Island of Stone Money (1991) and Money Mischief (1992) by Milton Friedman ‘Tralla La' in Uncle Scrooge #6 by Carl Barks (1954) His Majesty O'Keefe (1954) Warner Bros To enjoy future episodes, be sure to subscribe to The Story of Money wherever you get your podcasts. You can also follow the show's dedicated YouTube channel here. Love listening to The Story of Money? Join us live on Saturday, June 20 at our inaugural NYC FT Weekend Festival at Spring Studios. Put your questions directly to our experts, experience your favourite podcast in person, and see the FT come to life. Register now and enjoy 10% off with code FTPodcast — this is one Saturday you won't want to miss. Learn more at ft.com/tsom or get in touch at thestoryofmoney@ft.com.Hosts: Gillian Tett and Robin WigglesworthGuest: Felix MartinProducer: Lulu SmythSenior Producers: Laurence Knight and Michela TinderaExecutive Producers: Flo Phillips and Manuela SaragosaOriginal music: Breen TurnerBroadcast engineers: Bianca Wakeman and Petros GiuompasisPodcast Development: Laura ClarkeFT Global Head of Audio: Cheryl BrumleyVideo editors: Kristen Kenyon and Josh Divney at Podcast DiscoveryRead a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

AI can write training content that looks flawless, sounds professional, and still quietly mislead your learners. That's the problem we tackle today, along with a practical fix you can use immediately: a fast QA scan that keeps AI speed while protecting trust, accuracy, and credibility.In this episode, Jackie walks through three failure modes that show up again and again in AI-generated eLearning and microlearning drafts: accuracy issues like invented details or wrong policy claims, bias that slips into scenarios through assumptions or stereotypes, and brand drift where the tone turns generic, overly corporate, or inconsistent with your organization's voice. If you design learning for compliance, safety, HR, legal, or any high-stakes topic, these risks aren't theoretical; they can impact people's well-being, employment, and your organization's reputation.You'll leave with a simple, repeatable method: run three quick passes on any AI draft facts, fairness, and voice. I share the exact questions to ask, the red flags to watch for, and an easy checklist to keep next to your keyboard. If you found this helpful, follow or subscribe, share the show with a fellow instructional designer, and leave a review so more designers can build AI-ready workflows without quality surprises.

Nadine Dijkstra is a Principal Investigator at the Institute of Neurology at UCL. Her research in Imaging Neuroscience explores how the brain generates mental images and differentiates them from actual perception. Utilizing neuroimaging, psychophysics, machine learning, and computational modeling, Dijkstra addresses fundamental questions about the overlap between perception and imagery.Recently, Dijkstra has been leading the Imagine Reality Lab at UCL's Department of Imaging Neuroscience, focusing on the intersection of imagination and reality. Dijkstra's 2023 paper in Nature Communications showed the brain evaluates images against a 'reality threshold' to distinguish between images and perception. Her work also investigates how changes in these neural processes could impact mental health.Check out our new series, Ideas for Our Time: https://youtu.be/nYS4FylZJ2QDon't hesitate to email us at podcast@iai.tv with your thoughts or questions on the episode!To witness such debates live buy tickets for our upcoming festival: https://howthelightgetsin.org/festivals/And visit our website for many more articles, videos, and podcasts like this one: https://iai.tv/You can find everything we referenced here: https://linktr.ee/philosophyforourtimesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Eric Mayhew, Chief Innovation Officer and Co-Founder of Fluency, shares how his experience in automotive advertising inspired the creation of Fluency and its mission to eliminate repetitive AdOps work through automation. Eric dives into the difference between automation and AI, the future of agentic systems, and why human creativity still matters most in advertising. From scaling ad operations to building compliant AI workflows, this conversation explores where marketing technology is headed next. Takeaways • Automation should eliminate repetitive tasks so teams can focus on strategy and creativity. • AI and automation are complementary, but they are not the same thing. • Human oversight remains critical for compliance, governance, and brand safety. • AI is powerful, but context quality determines the reliability of outputs. • Personalization in advertising may finally become practical with AI and automation. • Agencies want customizable workflows, not one-size-fits-all automation. • Fluency focuses on deterministic workflows that execute advertiser strategies at scale. • Agentic systems will combine rule-based automation with probabilistic AI decision-making. Chapters 00:00 Introduction to Eric Mayhew and Fluency 01:20 How Dealer.com Inspired the Creation of Fluency 04:07 The Real Problem with Manual AdOps Workflows 05:45 Fluency's Approach to Automation and AdOps Efficiency 07:45 Why AdOps Professionals Should Embrace Automation 10:41 The Difference Between Automation and AI 15:21 AI Risks, Hallucinations, and Governance Challenges 19:21 Where Humans Still Outperform AI 22:54 How Fluency Onboards and Automates Campaign Workflows 27:02 The Future of Agentic AI and Advertising Personalization Learn more about your ad choices. Visit megaphone.fm/adchoices

We're brunt out my lord. Okay........so we are knocking the rust off and getting back on this podcast horse. TRUST US WE NEED IT AS MUCH AS YOU.

Episode Summary: In this special episode, Mark Holthe speaks with immigration lawyer Luca Vukolic about a bizarre Express Entry refusal involving a French citizen and McMaster research associate whose application was refused based on job duties from an entirely unrelated robotics role. They discuss how generative AI may have been involved in the processing or refusal letter, why human review matters, and what lawyers and applicants should do when an immigration decision appears to rely on incorrect or fabricated facts. Key Topics Discussed- AI in immigration processing- Express Entry refusals- Incorrect job duty analysis- Reconsideration and court options Key Takeaways- AI-related errors can seriously affect immigration files.- Refusal letters may contain incorrect facts.- Applicants must act quickly after a refusal.- Clear records and organized evidence are essential.Booster Strategies to Improve Your Chances- Keep Complete Records- Save copies of all forms, letters, uploads, and submission confirmations.- Make Job Duties Easy to Review- Use clear employer letters and consider a NOC duty-matching table.- Act Quickly After a Refusal- File a reconsideration request and protect Federal Court timelines. Quotes from the Episode Mark Holthe: “The question isn't whether a human clicked the final refusal button. The question is whether the human meaningfully reviewed the actual evidence.” Luca Vukolic: “Move quick, prudently, but quick.” Links and Resources Watch this episode on YouTube Canadian Immigration Podcast Book a consult Enroll in the Express Entry Accelerator and Masterclass Subscribe for MoreStay up-to-date with the latest in Canadian immigration by subscribing to the Canadian Immigration Podcast on iTunes, Spotify, or YouTube. Don't miss future episodes on policy changes, strategies, and practical advice for navigating Canada's immigration process. Disclaimer This episode provides general information about Canadian immigration and is not intended as legal advice. For personalized assistance, consult an immigration lawyer.

In this episode of Fraudology, host Karisse Hendrick is joined by a guest she has been trying to bring back to the show for years: Holly Sandberg, a veteran leader in fraud operations, Americas Advisory Board at MRC and the former Director of Trust and Safety at Reverb. As the industry grapples with the rapid rise of Generative AI, Holly and Karisse cut through the "robot takeover" anxiety to provide a grounded, expert perspective on the future of fraud leadership.The conversation explores the evolving mechanics of AI in trust and safety, detailing why the "human element" remains the ultimate force multiplier for technical models. Holly shares why senior fraud leadership cannot be replaced by LLMs, noting that the critical "domain expertise" required to manage sophisticated fraud—and spot model drift—is not found in open-source data.We also explore the "hot topics" dominating the fraud landscape today:The AI Visibility Strategy: Why volunteering for AI steering committees and working cross-functionally is the best way to prove your indispensability to leadership.Hallucinations and Data Gaps: A deep dive into the "bias toward certainty" in AI, featuring a hilarious yet cautionary example of "pizza fraud" hallucinations and the risks of depending on LLMs for math and complex policy.Career Resilience in a Changing Market: Tactical advice on navigating layoffs, the "quiet rehiring" trend, and how to pitch your value for a promotion by focusing on what you will do, rather than just what you've done.

If you enjoy this episode, we're sure you will enjoy more content like this on The Occult Rejects.  In fact, we have curated playlists on occult topics like grimoires, esoteric concepts and phenomena, occult history, analyzing true crime and cults with an occult lens, Para politics, and occultism in music. Whether you enjoy consuming your content visually or via audio, we've got you covered - and it will always be provided free of charge.  So, if you enjoy what we do and want to support our work of providing accessible, free content on various platforms, please consider making a donation to the links provided below.  Thank you and enjoy the episode!Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Cash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsBibliography / Show NotesAmaya, I. A., Behrens, F., et al. “Effect of Frequency and Rhythmicity on Flicker Light-Induced Visual Hallucinations.” PLOS ONE, 2023.Key use: frequency, rhythmicity, 10 Hz flicker, Klüver forms.Shenyan, O., Lisi, M., Greenwood, J. A., Skipper, J. I., & Dekker, T. M. “Visual Hallucinations Induced by Ganzflicker and Ganzfeld Differ in Frequency, Complexity, and Content.” Scientific Reports, 2024.Key use: Ganzfeld vs. Ganzflicker.Bressloff, P. C., Cowan, J. D., Golubitsky, M., Thomas, P. J., & Wiener, M. C. “Geometric Visual Hallucinations, Euclidean Symmetry and the Functional Architecture of Striate Cortex.” Philosophical Transactions of the Royal Society B, 2001.Key use: form constants, tunnels, spirals, lattices, honeycombs, visual cortex modeling.Bressloff, P. C. “What Geometric Visual Hallucinations Tell Us About the Visual Cortex.” Neural Computation, 2002.Key use: Klüver form constants and visual cortex explanation.Mauro, F., et al. “A Bidirectional Link Between Brain Oscillations and Geometric Patterns.” Journal of Neuroscience, 2015.Key use: brain oscillations and geometric visual patterns.Hewitt, T., et al. “Stroboscopically Induced Visual Hallucinations.” Neuroscience of Consciousness, 2025.Key use: history and science of stroboscopic hallucinations.Netherlands Institute for Neuroscience. “Hallucinations from Flickering Lights: What Happens in Our Brain?” 2024.Key use: standing waves / visual cortex explanation.Purkinje, J. E. Early 19th-century writings on subjective visual phenomena and flicker effects.Key use: historical scientific observation of flicker-induced visual effects.Klüver, H. Mescal and Mechanisms of Hallucinations. University of Chicago Press, 1966.Key use: form constants: tunnels, spirals, lattices, cobwebs.Epilepsy Foundation / clinical photosensitivity guidance.Key use: photosensitive epilepsy safety warning; flashing lights and visual patterns can trigger seizures in susceptible people.“Visually-Provoked Seizures: Consensus of the Epilepsy Foundation of America Working Group.” Epilepsia.Key use: safety, photosensitive seizure risk.Ofcom / broadcast photosensitive epilepsy standards and strobe-light safety cases.Key use: real-world risk from rapid flashing light in media environments.Extra useful context sourcesGysin, B., and Sommerville, I. Dreamachine-related writings and documentation.Key use: 20th-century flicker device, art, counterculture, visionary technology.Huxley, A. The Doors of Perception.Key use: altered perception context, though not specifically flicker science.Lewis-Williams, D. The Mind in the Cave.Key use: cave art, altered states, entoptic imagery, visionary interpretation.Eliade, M. Shamanism: Archaic Techniques of Ecstasy.Key use: older ritual technologies of altered states; use carefully as historical theory.Tart, C. T., ed. Altered States of Consciousness.Key use: broader academic framing for non-ordinary states.Vaitl, D., et al. “Psychobiology of Altered States of Consciousness.” Psychological Bulletin, 2005.Key use: general altered-state science framework.Also want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. Now let me introduce the rest of the panel and guests.

Can we ever really know who we are? And does self-knowledge come with an incredible cost to ourselves and others? Maybe! We investigate the First Philip K. Dick Adaptation, with a 1962 episode of the British TV show Out of This World on his short story "The Imposter." Plus, we do a medium dive into PKD's life. And there's lots to discuss in the MouthGarf Report! Plus, I See What You Did There! Sources: https://www.youtube.com/watch?v=2NATbmF4Qxc (While labeled "The Cold Equations" this is the audio for "The Imposter") https://en.wikipedia.org/wiki/Impostor_(short_story) https://en.wikipedia.org/wiki/Philip_K._Dick https://web.archive.org/web/20120511082635/http://www.philipkdick.com/media_sfeye87.html https://web.archive.org/web/20170921182200/http://culture.pl/en/article/philip-k-dick-stanislaw-lem-is-a-communist-committee https://www.salon.com/2022/07/23/8-facts-about-philip-k-dick_partner/ Please give us a 5 star rating on Apple Podcasts!  Want to ask us a question? Talk to us! Email debutbuddies@gmail.com Listen to Kelly and Chelsea's awesome horror movie podcast, Never Show the Monster. Get some sci-fi from Spaceboy Books. Get down with Michael J. O'Connor and the Cold Family and check out his new compilation The Best of the Bad Years 2005 - 2025 Next time: First Film Directed by Markiplier/Mark Fischbach

Welcome back T&J fam! This week we dive into a nice little recap of Marty's experience with food poisoning (or whatever demon possessed his body) and the hallucinations that ensued. Josh then opens up about hallucinations he had on third shift and what happens whey you accidentally take large amounts of muscle relaxers. This discussion turns into a conversation about one of psychology's forefathers - Carl Jung. Josh discusses Jung's theory and the different parts of who we are as people. We discuss the public facing views of self and the parts we try to hide. We also discuss how this integrates into our faith and how we operate as Christians. Enjoy! tattoosandjesuspodcast@gmail.com

A Princeton cognitive scientist says AI can't think like a child — and giving it more data won't fix that. If the field keeps scaling without solving what's actually missing, the gap between human and machine intelligence won't close. It'll just get more expensive. Tom Griffiths is a professor of psychology and computer science at Princeton, and one of the leading researchers working at the intersection of human cognition and AI. We cover: -why a child learns language from breadcrumbs while AI needs continents of data -the 250-year-old idea that quietly became the foundation of modern language models -what sycophantic AI actually does to your beliefs over time -why solving AGI might have less to do with scale and more to do with understanding what a child's mind really is. The hallucinations don't bother him — it's the sycophancy that should worry you. Key Takeaways: 00:00 The Math Behind How Minds Actually Work 00:30 Why Defining "Thought" Is Harder Than It Looks 04:30 What AI Gets Wrong About Consciousness 07:00 What ChatGPT Actually Revealed About the Field 08:10 Are Humans Really Irrational — Or Solving a Different Problem? 11:00 How Chomsky Turned Language Into a Math Problem 13:55 The Chessboard Analogy That Explains Generative Grammar 15:20 Why Aristotle Got Thought Right and Physics Wrong 19:45 The Man Who Tried to Build AI in the 1600s 22:40 What Everyone Gets Wrong About George Boole 25:25 From Boole to Turing: How Logic Became Computers 27:40 Why Your Brain Runs on Less Energy Than a Light Bulb 28:40 Jensen Huang Says AGI Is Here. Is He Right? 31:45 Why the "AI vs. Human Intelligence" Scale Is Misleading 33:50 Why a Child Still Outlearns Every AI Model 35:20 The Fuzzy Boundary Problem That Broke Rule-Based AI 37:20 How Semantic Networks Rewired the Theory of Memory 39:30 Rosenblatt Built a Brain — Then Minsky Killed It 43:15 The Plane Ride Where Backpropagation Was Solved 44:20 Hallucinations, Sycophancy, and What Should Actually Worry You 47:00 What Has to Change Before AI Can Truly Generalize 50:10 What a Layperson Should Actually Take Away From This ———

In Part 4 Pastor Thompson goes over two more theories, the Hallucination Theory and the Stolen Body Theory to see if either one offers a better explanation of the resurrection.You can find a transcript of this video and over 900 more devotions like this one on our website at PeaceDevotions.com.If you find value from these devotions we'd encourage you to support our ministry. You can support us by praying for our pastors, sharing and commenting on our videos, or by donating at https://peacedevotions.com/donateConnect with us on social media, our website, or get these emailed to your inbox.Facebook: https://www.facebook.com/PeaceDevotions/Instagram: https://www.instagram.com/peace_devotions/YouTube: https://www.youtube.com/channel/UC2pFo5lJV46gKmztGwnT3vAWebsite: https://peacedevotions.com/Email List: https://peacedevotions.com/emailYou can also add Peace Devotions to your Flash Briefing on Amazon Echo Devices.https://peacedevotions.com/echo/

In this deeply honest and powerful conversation, Shaley sits down with mental health advocate, author, and peer mentor Mel to share her lived experience with bipolar disorder. Mel opens up about her early struggles, being misdiagnosed, and what it was like to experience severe depression, mania, and psychosis. She shares the reality of a nine-month depressive psychotic episode, the impact of medication, and the complexity of navigating bipolar disorder alongside physical illness, trauma, and motherhood. This episode also explores topics that are often misunderstood or left unspoken — including hypersexuality, eating disorders, stigma within families, and the challenges of accepting a lifelong diagnosis. Mel's story is raw, real, and ultimately hopeful — a reminder that stability, purpose, and connection are possible. In this episode, we talk about: Early signs of mental health struggles in childhood Depression, misdiagnosis, and SSRI-induced psychosis What manic and psychotic episodes actually feel like A 9-month depressive psychotic episode Eating disorders and bipolar disorder Hypersexuality and shame Medication, stigma, and acceptance Pregnancy, postpartum mental health, and bipolar Writing a memoir and healing through storytelling  KEY MOMENTS: (00:32:15) SSRI-triggered depressive psychosis begins (00:35:40) Feeling like people are imposters / losing reality (00:38:10) Nine-month isolation and disconnection (00:44:55) Shift from depression into mania (00:47:20) Grand delusions (believing she could become a doctor instantly) (00:50:30) Hallucinations and suicidal psychosis About Mel: Melissa Pang Howard is the author of the memoir Mental(ish) A Memior of Insanity and the Search for Stability. A blogger for the International Bipolar Foundation and a frequent panelist for the Reddit Bipolar AMA, she focuses on navigating Bipolar 1, c-PTSD, and the path from surviving to thriving. Through her writing and advocacy, Melissa explores the intersections of trauma, identity, and resilience to support others on their journey toward stability. Purchase Mel's Memoir here: Mental(ish): A Memoir of Insanity and the Search for Stability Connect with Mel: Instagram: @mindful_movement_for_mania Connect with Shaley: www.thisisbipolar.com Instagram: @this.is.bipolar Do you have a Bipolar Peer Support Group? Shaley private Instagram subscriber group is a safe, supportive space for people living with bipolar disorder. It's a place to be seen, heard, and understood — where you can share openly, connect with others who truly get it, and find support on both the hard days and the good ones. Members also have access to monthly Zoom meetups for deeper connection and conversation. How to join: Go to @this.is.bipolar on Instagram and tap “Subscribe” to access the private chat and community.      

Enjoy this episode? Please share it with at least ONE friend who you think needs to hear it!Psychedelic researcher Danny Goler  @dangothoughts breaks down his DMT laser experiment, where people see remarkably similar symbols while on the drug, suggesting it may reveal the underlying code of reality in episode 243 of the Far Out with Faust podcast.Danny Goler is the founder of the Code of Reality Initiative, an independent project exploring whether altered states of consciousness can reveal structured patterns underlying human perception. His work centers on a controversial DMT laser experiment in which participants report seeing consistent, code-like visuals, and he is developing methods to test these experiences using AI and brain signal analysis.In this conversation, Faust and Goler explore the implications of the DMT code experiment and whether shared psychedelic experiences point to a deeper layer of reality. From structured patterns and multidimensional perception to non-human intelligence and simulation theory, the discussion expands into cognitive physics, AI-driven brain signal decoding, and what the rise of artificial general intelligence could reveal about human consciousness.In this episode: • DMT Code Experiment: Why different people are seeing remarkably similar symbols, and what that could mean for the underlying code of reality. • Shared Psychedelic Experience: The growing evidence that these visions may not be purely subjective, and what that means for consciousness. • Non-Human Intelligence: The theory that other forms of intelligence may be interacting with or maintaining our reality. • Simulation Theory: Are we inside a constructed system, and could DMT be revealing how it works? • Cognitive Physics: A new framework for studying consciousness with the same precision as physics. • AI & Brain Signal Decoding: Using artificial intelligence to map and verify what people are actually seeing. • AGI & The Alignment Problem: What happens when human consciousness collides with machine intelligence. • NN-DMT vs 5-MeO-DMT: The difference between structured, visual experiences and total ego dissolution. • Psychedelic Risk & Integration: Why these experiences can become overwhelming, and the importance of proper guidance.If these patterns are real, it doesn't just change how we see psychedelics — it changes how we see reality.Connect with Danny Golerhttps://dannygoler.com/https://www.youtube.com/@dangothoughtshttps://www.patreon.com/dangothoughtshttps://www.instagram.com/dannygoler/https://www.facebook.com/danny.goler/https://x.com/GolerDannyhttps://www.tiktok.com/@dannygolerJoin us on PatreonFor uncensored episodes, behind-the-scenes content, and exclusive community access:https://patreon.com/FarOutWithFaustListen on Spotify + Apple PodcastsSpotify: https://open.spotify.com/show/6StPwgq2di3f8uxnc6SmIfApple: https://podcasts.apple.com/us/podcast/far-out-with-faust-fowf/id1533017218FOWF & Faust Checho on socialhttps://www.instagram.com/faroutwithfaust/https://www.instagram.com/theonefaustchecho/https://www.facebook.com/Faroutwithfausthttps://x.com/faustchechohttps://patreon.com/FarOutWithFaustQUESTION THE ANSWERS™we'd love to hear from you

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mauro Schilman, CTO and Co-founder of Tuki, the distribution standard for the AI agent era in travel, for a wide-ranging conversation that moves from the joys of international travel and the beauty of mathematics to the fast-evolving world of AI and large language models. Mauro shares his background as a math Olympiad competitor and later a coach, his time training coding models at the AI company Cohere, and his thoughts on how frontier models are progressing — or plateauing — at the foundational level while innovation accelerates at the application layer. The two also get into the mechanics of agentic AI, MCP and agent-to-agent protocols, hierarchical memory systems, red-green test-driven development as a powerful coding workflow, and the philosophical murkiness of open-source AI. They wrap up discussing Tuki Travel's mission to build AI-ready infrastructure for the travel industry, connecting hotels, suppliers, and online travel agencies to prepare for the coming wave of agentic commerce. You can learn more about Tuki Travel and reach out to the team at tukiclub.com.Timestamps00:00 - Stewart welcomes Mauro Schilman, CTO and Co-founder of Tuki Travel, who shares how traveling since age 15 through high school exchanges opened his mind to cultural similarities and differences.05:00 - Mauro explains Math Olympiad coaching culture and mentorship, noting LLMs now solve competition-level problems while Terence Tao explores AI assisting frontier unsolved mathematics.10:00 - Discussion turns to ChatGPT revealing Mauro's birthdate unprompted, exposing opaque application layers, preference tuning, and system prompts hidden within closed models.15:00 - Mauro argues true open source AI requires full training data, annotation protocols, and alignment processes, not just model weights, while scaling laws appear to be slowing.20:00 - Hierarchical memory models replace flat vector databases, using three-level retrieval systems improving context accuracy as knowledge management becomes AI's core challenge.25:00 - Mauro describes travel's fragmented infrastructure of aggregators, bed banks, and intermediaries, explaining Tuki builds agent-ready unification protocols for AI commerce.30:00 - MCP versus API debate clarifies natural language capability descriptions help agents consume services, while agent-to-agent communication embeds negotiating agents inside supplier systems.35:00 - Hallucinations and consumer trust block agentic payments, industries must build mistake-resilience into bookings before autonomous agent transactions become viable.40:00 - Mauro reveals red-green test-driven development methodology where agents write failing tests first then implementations, creating Oracle verification loops dramatically improving code quality.45:00 - Blockchain's potential for transparent distributed AI training discussed, distinguishing democratization from decentralization while stable coins and regulatory momentum build toward agentic commerce infrastructure.Key Insights1. Travel broadens perspective by revealing both universal human similarities and deep cultural differences. Mauro Schilman began traveling at fifteen through math olympiad competitions and found that people across the world share fundamental traits while also being shaped in profoundly different ways by their cultures. This tension between sameness and difference is what makes travel meaningful.2. Mathematics transitions from structured problem-solving in olympiads to genuine uncertainty in graduate school and research. Olympiad problems are carefully designed with elegant solutions meant to encourage creative thinking, but once a mathematician enters academia, the answers are unknown and the work becomes navigating that uncertainty.3. AI is now assisting mathematicians at the frontier, not just solving olympiad-level problems. Terence Tao, one of the greatest living mathematicians, has written publicly about how AI tools can help tackle unsolved problems, though the role of AI remains assistive rather than independent at the research level.4. Large language models are not truly transparent even when described as open source. Releasing model weights alone does not reveal the training data, annotation protocols, alignment tuning, or system prompts that shape model behavior. Real openness would require access to the entire pipeline.5. Memory and retrieval remain core unsolved challenges in AI systems. Researchers are moving from flat vector database approaches toward hierarchical memory structures with roughly three layers, which improves retrieval accuracy and reduces how much context gets consumed with each search.6. The travel industry is structurally unprepared for AI agents. A hidden web of bed banks, aggregators, and aggregators of aggregators sits between hotels and consumers, each taking a fee. Tuki Travel is building infrastructure to unify this distribution layer and make it consumable by AI agents through protocols like MCP and emerging agent-to-agent communication standards.7. Test-driven development using a red-green approach significantly improves AI-generated code quality. By asking the model to write failing tests before writing any implementation, developers create a verification oracle that guides the model toward correct solutions and avoids the bias of writing tests that simply confirm existing flawed code.

In this episode, we sit down with ultrarunning legend Hal Koerner and Ian Sharman to go beyond the race results and into the stories hidden between the aid stations. Hal reflects on the gritty era of ultrarunning when gear was simpler, races were rougher, and success often came down to who could stay calm while everything else unraveled. The conversation explores their approach to downhill running, how they learned to descend with confidence, and why many runners sabotage themselves by braking too much and overthinking every step. Hal also shares memorable moments from decades in the sport, including hallucinations, race-day mistakes, lessons from other legends, and the strange, beautiful chaos that unfolds after enough miles in the mountains. Along the way, we discuss how the sport has changed, from shoes and nutrition to the growing popularity of ultrarunning, while Hal remains the same smiling, endlessly curious runner with the grin that somehow survives even mile 90. By the end, the episode feels less like an interview and more like sitting beside a campfire with one of the sport's great storytellers while the mountains glow quietly in the background. Check out "Unbreakable" film SharmanUltra.com coaching Hal Koerner's Field Guide to Ultrarunning Preorder Ian's book, "The Art of Ultrarunning: Tried & Tested Strategies for Long-Distance. Episode Sponsors: Tifosi Optics - CLARITY ON THE TRAIL: Post your Golden Nugget of wisdom that helps you recover after a huge effort on Instagram, tag @TifosiOptics, @TrailRunnerNation, and use the hashtag #ClarityOnTheTrail.  OR try texting us (within the USA) with your tip: 916-235-3928. If we use yours on a weekly episode, you get a pair of the new Sanctum SL glasses! Peluva - Footwear that let your feet be feet.  Get 10% off on our DEALS page  Timestamps 06:00 – What Ultrarunning Used to Be Like Hal reflects on the early days of the sport, when aid stations were simpler, shoes were sketchier, and ultrarunners seemed stitched together from duct tape, stubbornness, and peanut butter sandwiches. 14:00 – The Downhill Running Advantage Hal explains why his ability to descend gave him an edge, how he learned to trust gravity, and why most runners unknowingly fight the trail on every downhill. 27:00 – Hallucinations, Mistakes & The Weird Stuff That Happens After 80 Miles The conversation drifts into race stories, strange moments, and the surreal carnival that begins when exhaustion starts repainting reality with a very crooked brush. 40:00 – How the Sport Has Changed The evolution of ultrarunning, from carbon shoes and nutrition science to the explosion of races, gear, and attention. 53:00 – The Lessons That Last Hal shares the wisdom he has gathered after decades in the mountains: stay adaptable, keep your sense of humor, and never lose the grin, even when the trail is trying very hard to take it from you.

  I hate the term "hallucinations" for when AIs say false things. It's perfectly calculated to mislead the reader - to make them think AIs are crazy, or maybe just have incomprehensible failure modes. AIs say false things for the same reason you do. At least, I did. In school, I would take multiple choice tests. When I didn't know the answer to a question, I would guess. Schoolchild urban legend said that "C" was the best bet, so I would fill in bubble C. It was fine. Probably got a couple extra points that way, maybe raised my GPA by 0.1 over the counterfactual. Some kids never guessed. They thought it was dishonest. I had trouble understanding them, but when I think back on it, I had limits too. I would guess on multiple choice questions, but never the short answer section. "Who invented the cotton gin?" For any "who invented" question in US History, there's a 10% chance it's Thomas Edison. Still, I never put down his name. "Who negotiated the purchase of southern Arizona from Mexico?" The most common name in the United States has long been "John Smith", applying to 1/10,000 individuals. An 0.01% chance of getting a question right is better than zero, right? If I'd guessed "John Smith" for every short answer question I didn't know, I might have gotten ~1 extra point in my school career, with no downside. You can go further. https://www.astralcodexten.com/p/shameless-guesses-not-hallucinations

Most people think "hearing voices" would be a nightmare symptom of mental illness, but for some, it feels more like a friendship. In the medical world, hallucinations and delusions are symptoms to be eliminated. But for Kit Wallis, the reality of living with schizoaffective disorder is far more complicated. For years, she shared her life with her delusions, including Orion, a "sassy, funny, and supportive" internal voice who helped her study, hyped her up for exams, and ensured she was never truly alone. In a culture that views psychosis through a lens of fear, Kit saw her symptoms as a lifeline. However, when a life-altering psychotic break required antipsychotic medication, the "recovery" came with a devastating price. As the medication began to work, her voices didn't just fade — they "broke up like a bad phone call." Kit didn't just lose her symptoms; she lost her closest friends. Listeners will take-a-way: Understanding the mourning process Kit experienced when medication worked to eliminate her hallucinations Why the medical community often ignores the "positive" aspects of psychosis Kit's conflict surrounding wanting the voices back while knowing the importance of treatment In this deeply personal conversation, host Gabe Howard and guest Kit Wallis explore the "hard dialectic" of mental health: the grief of getting well and the complicated mourning process that sometimes follows successful treatment. Listen now! "No one really warns you about losing the good stuff, too … They just think, ‘Oh, psychosis is all bad. We want it all gone.' But stories like mine aren't really out there very often." ~Kit Wallis aka SchizoKitzo Our guest, Kit Wallis, who goes by SchizoKitzo, is a content creator who advocates for schizoaffective and bipolar disorders. She uses long-form videos on her YouTube channel and short-form content on platforms like TikTok and Instagram. Her content centers around her personal experience with schizoaffective disorder and often includes deep dives into research topics regarding mental health. Kit was diagnosed with the bipolar type of schizoaffective disorder in late 2020 and has struggled with symptoms since she was in middle school. Schizoaffective disorder is a mental health condition where someone experiences symptoms of schizophrenia--such as delusions and hallucinations--but also symptoms of a mood disorder--either major depression or, in Kit's case, bipolar. Realizing there was a lack of schizoaffective advocates, she decided to start her SchizoKitzo project to raise awareness for this complex condition. The mission of SchizoKitzo is to raise awareness of schizoaffective disorder and all of its aspects, from the mood side to the psychotic side. Kit works to bridge the gap between life and science so she can help break the stigma around mental health. Our host, Gabe Howard, is an award-winning writer and speaker who lives with bipolar disorder. He is the author of the popular book, "Mental Illness is an Asshole and other Observations," available from Amazon; signed copies are also available directly from the author. Gabe is also the host of the "Inside Bipolar" podcast with Dr. Nicole Washington. Gabe makes his home in the suburbs of Columbus, Ohio. He lives with his supportive wife, Kendall, and a Miniature Schnauzer dog that he never wanted, but now can't imagine life without. To book Gabe for your next event or learn more about him, please visit gabehoward.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hackers linked to Iran have breached FBI Director Kash Patel's personal emails. Attorney General Pam Bondi sent a Jack Smith progress memo to Congress outlining Trump's motive for illegally retaining classified documents. A top deputy to U.S. Attorney Jeanine Pirro acknowledged in a closed-door hearing this month that the Justice Department did not have evidence of wrongdoing in its criminal investigation of Fed Chair Jerome Powell. Legal experts are stunned after a federal judge catches DOJ lawyers using artificial intelligence to write briefs. Plus listener questions. Do you have questions for the pod?    Shop Mint Unlimited Plans at MINTMOBILE.com/UNJUST Follow AG Substack|MuellershewroteBlueSky|@muellershewroteAndrew McCabe isn't on social media, but you can buy his book The ThreatThe Threat: How the FBI Protects America in the Age of Terror and Trump Questions for the pod?https://formfacade.com/sm/PTk_BSogJ We would like to know more about our listeners. Please participate in this brief surveyListener Survey and CommentsThis Show is Available Ad-Free And Early For Patreon and Supercast Supporters at the Justice Enforcers level and above:https://dailybeans.supercast.techOrhttps://patreon.com/thedailybeansOr when you subscribe on Apple Podcastshttps://apple.co/3YNpW3P Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.