Podcasts about Neuron

Carta CMO Nicole Baer joins Corey and Grant to break down the real state of startups in 2026. With half of all venture funding now flowing to AI-native companies and seed deals at a six-year low, the startup playbook has fundamentally changed. Nicole shares Carta's data on solo founders, the new billion-dollar timeline, why the Bay Area's grip is tighter than ever, and how AI is reshaping everything from marketing to fund administration.Carta State of Startups 2025 Report: https://carta.com/blog/state-of-startups-2025/Carta Data & Insights (free): https://carta.com/data/Subscribe to The Neuron newsletter: https://theneuron.ai

Recorded live at NVIDIA GTC 2026 in San Jose, Corey sits down with returning guest Kari Briski—VP of Generative AI Software for Enterprise at NVIDIA—to unpack their biggest open-source model yet: Nemotron 3 Super. Kari breaks down why a 120B-parameter model runs as fast as a 12B one, how multi-agent systems are going from science fiction to production, and why Jensen Huang is calling this "a new operating system." We also dig into NVIDIA's work on Open Claw security, the 35x explosion in open-model token generation, and where omni-modal AI is heading next.Subscribe to The Neuron newsletter: https://theneuron.aiRelevant links:NVIDIA Build (try Nemotron): https://build.nvidia.comNemotron on Hugging Face: https://huggingface.co/nvidiaOpen Router: https://openrouter.aiKari's previous Neuron episode (Oct 2025): https://youtu.be/p0INn_w7TYo

Scientific discovery has always been slow. Until now.In this episode, we sit down with Dr. Qichao Hu, CEO of SES AI, to reveal how they are using AI agents to turn a 8-year research cycle into a 2-week sprint. By combining autonomous "wet labs" with advanced AI models, they are solving one of the hardest physics problems in tech: the battery bottleneck.We dive deep into how this "Molecular Universe" project isn't just about EV batteries—it's about unlocking power for data centers, robotics, and AR glasses. If you want to see a concrete example of AI agents working in the physical world to solve material science constraints, do not miss this conversation.

Science likes to call itself a meritocracy. Angela Anderson and Brandi Mattson know better. Both served as editors at elite journals (Cell and Neuron), where a single decision could determine who gets tenure, funding, or obscurity. They watched brilliant data get filtered out because the authors did not know the unwritten rules controlled by 5 dominant publishing houses with profit margins higher than Google.In 2020, amid pandemic shutdowns and national reckoning over racial injustice, they co-founded a nonprofit to expose that hidden curriculum. Through the JEDI program, they provide 10 hours of free editorial consulting to scientists who lack access to elite networks. In 1 year alone, 25 awards helped researchers salvage canceled grants, secure NSF career funding, and rebuild careers derailed by rejection.This episode pulls back the curtain on the multibillion dollar publishing engine that profits from taxpayer funded science and reveals who gets heard, who gets sidelined, and how insiders are choosing to redistribute power.RELATED LINKSAngela AndersonBrandy MattsonLife Science EditorsLife Science Editors FoundationCellNeuronNational Science FoundationFEEDBACKLike this episode? Rate and review Out of Patients on your favorite podcast platform. For guest suggestions or sponsorship email podcasts@matthewzachary.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we sit down with Yaron Inger, co-founder of Lightricks and LTX, to explore the future of open-source AI video.LTX-2 is currently the #1 ranked open-source audio & video model on Hugging Face — with over 4.5 million downloads in just two months.But what makes it different?It runs locally.It can be fine-tuned on your own IP.It integrates into real video workflows.And it might change how filmmaking, education, and creative work evolve in the AI era.We talk about:• Why open models are catching up to Big Tech• How smaller models are getting better through distillation• Running AI video on consumer GPUs• Infinite, autoregressive video generation• AI teachers that change environments in real time• Whether AI will replace filmmakers — or empower themIf you care about the future of creativity, open AI, or the economics of filmmaking… this one is worth your time.Check out LTX: https://ltx.ioLTX-2 on Hugging Face: https://huggingface.co/Lightricks/LTX-2.3 LTX Desktop Repo: https://github.com/Lightricks/LTX-DeskFor more practical, grounded conversations on AI systems that actually work, subscribe to The Neuron newsletter at https://theneuron.ai.

You've probably used Canva—but you probably haven't seen what it can do with AI. In this episode of The Neuron, we sit down with Danny Wu, Head of AI Products at Canva, to explore how the platform went from a simple design tool to a full-blown "Creative Operating System" powered by AI—serving 230+ million users every month.Danny walks us through how Canva's MCP server lets you create fully editable designs from inside ChatGPT, Claude, and Microsoft Copilot, why their new Canva Design Model is fundamentally different from typical AI image generators (hint: layers), and why 24 billion AI tool uses later, the most surprising use cases are ones they never anticipated.We also get Danny's take on whether AI will homogenize all design, his advice for freelancers who don't want to get replaced, and a live demo of Canva's AI design generation in action.You'll learn:• How MCP powers Canva inside ChatGPT, Claude, and Copilot• What the Canva Design Model understands that GPT-4 doesn't• Why editable layers (not flat images) are the real AI design breakthrough• Danny's advice for freelancers to become irreplaceable in an AI world• How Canva uses AI internally on tens of millions of lines of code• Why AI assistants are becoming "the new SEO" for user acquisitionTry Canva AI at https://canva.com/aiSpecial thanks to the sponsor of this video, Cohesity: https://www.cohesity.com/ResilienceEverywhere/?utm_source=brand-ta-podcast&utm_medium=direct-publisher&utm_campaign=fy26-q2-01-amer-us-digital-awarewbpg-brd-genbr&utm_content=podcastFor more practical, grounded conversations on AI and emerging tech, subscribe to The Neuron newsletter at https://theneuron.ai.

Matthew Cobb is a British zoologist and Emeritus professor of zoology at the University of Manchester.Get his book, The Idea of the Brain: A HistoryCloser to Truth's Map of Consciousness: loc.closertotruth.com/mapTIMESTAMPS:0:00 The Heart or the Head?4:13 Medicine in the Ancient World12:25 Why Don't We Accept Evidence?18:34 From Ancient to Modern Understanding29:29 When Did We Reach a Consensus on the Brain?37:41 Electricity in the Brain39:58 Our Metaphors for the Brain44:15 Is the Brain Segmented or Whole?01:05:20 Why is Speech Governed by the Left Hemisphere?01:18:55 Why is the Brain Split Into Two Hemispheres?01:23:06 Where in the Brain Does Consciousness Originate?01:32:46 The Ladybug Robot01:35:08 Back to Consciousness01:45:27 What is a Neuron?01:56:04 Why is Smell Connected to Memory So Strongly?02:02:14 Do London Cab Drivers Have Larger Hippocampi?02:10:11 The Limits of MRI and CT Scans02:19:24 Will We Ever Be Able to See Consciousness in the Brain?

Ryan Carson taught over 1,000,000 people how to code at Treehouse and spent 25% of his entire life doing it. Now he says everything about that process needs to change.In this livestream, Ryan joins Corey Noles and Grant Harvey to rethink programming education from scratch. When AI agents can write production code, pass competitive coding challenges, and ship features while you sleep.We'll cover:

We catch up with Dr Joline Brandenburg!An incredible conversation, all about: Developmental Neuromotor Disorders have altered Motor Neuron Morphology and Survival.A continuing series of interviews from Oceania Conference 2026 - live from Hobart, Tasmania, Australia.

AI data centers are going to double their power consumption by 2030—so where's all that energy coming from? One answer is fusion, the same process that powers the sun.In this episode of The Neuron, we're joined by Brandon Sorbom, Chief Science Officer and Co-founder of Commonwealth Fusion Systems, to explore how his company is racing to build the world's first commercial fusion power plant—and how AI is helping them get there faster.Brandon explains why fusion has been "30 years away" for decades, what changed with high-temperature superconducting magnets, and why fusion is fundamentally safer than fission (hint: fusion is "default off"). We dive into CFS's collaborations with Google DeepMind and NVIDIA, what it takes to wrangle 10,000 unique parts, and when we might actually see fusion on the grid.You'll learn:• What fusion actually is (and why it's not nuclear fission)• Why high-temperature superconducting magnets changed everything• How AI is accelerating plasma control and simulation• The safety profile that makes fusion regulated like an MRI, not a reactor• When CFS expects to hit Q > 1 (net energy) and beyondTo learn more about Commonwealth Fusion Systems, visit https://cfs.energy.For more practical, grounded conversations on AI and emerging tech, subscribe to The Neuron newsletter at https://theneuron.ai

Episode 237 NPTEFF Understanding Upper vs Lower Motor Neuron Lesions

Duermes 8 horas… y aun así te levantas agotado. Cuanto más duermes, peor te sientes. El problema no es la cantidad de horas. El problema es que nadie te ha explicado cómo funcionan realmente los ciclos del sueño.En este vídeo te explico por qué puedes dormir más y descansar menos, cómo influyen las fases del sueño en tu energía diaria y qué puedes hacer desde hoy mismo para despertarte con más claridad mental incluso durmiendo menos tiempo.

Dr. Ronald Lane, Founder of HOPE-Neuron Therapeutx, is developing an approach to treating ALS by rebalancing the body's immune system, which becomes dysfunctional in neurodegenerative diseases. The mechanism involves treating a patient's blood outside the body to activate the immune system and then infusing it back into the patient. The theory is that traditional drugs often fail because they target static genetic mutations and symptoms, while the source of the disease lies in the ongoing immune imbalance.  Ronald explains, "Well, in a broad sense, the goal of HOPE Neuron is based on the fact that our challenge here is to bring hope. And we use a neuronal basis to do that. We're not about drugs. There are no chemicals involved. We don't go that direction. But basically, it cuts across. We deal with memory, we deal with dementia and Alzheimer's, but our target initially is ALS."   "As I mentioned a moment ago, we're not doing drugs, we're not using chemicals. So what are you doing? Well, we're using the cell's immune system, and the problem with disease is that the immune system gets out of balance. When it's out of balance, you become ill. It can be in many different diseases. And there are certain indicators, and we know what to look for and what compounds the body generates."   #HOPENeuron #ALS #Neurology #ImmuneTherapy #MedicalInnovation #ALSResearch #Biotechnology #NeurodegenerativeDisease #MedicalBreakthrough #ClinicalTrials #Healthcare #Innovation #Neurodegeneration #Neuroplasticity #MedicalDevices #Immunotherapy #NeuroscienceInnovation #FutureOfMedicine #NonPharmaTherapies hopeneuron.com Download the transcript here

Dr. Ronald Lane, Founder of HOPE-Neuron Therapeutx, is developing an approach to treating ALS by rebalancing the body's immune system, which becomes dysfunctional in neurodegenerative diseases. The mechanism involves treating a patient's blood outside the body to activate the immune system and then infusing it back into the patient. The theory is that traditional drugs often fail because they target static genetic mutations and symptoms, while the source of the disease lies in the ongoing immune imbalance.  Ronald explains, "Well, in a broad sense, the goal of HOPE Neuron is based on the fact that our challenge here is to bring hope. And we use a neuronal basis to do that. We're not about drugs. There are no chemicals involved. We don't go that direction. But basically, it cuts across. We deal with memory, we deal with dementia and Alzheimer's, but our target initially is ALS."   "As I mentioned a moment ago, we're not doing drugs, we're not using chemicals. So what are you doing? Well, we're using the cell's immune system, and the problem with disease is that the immune system gets out of balance. When it's out of balance, you become ill. It can be in many different diseases. And there are certain indicators, and we know what to look for and what compounds the body generates."   #HOPENeuron #ALS #Neurology #ImmuneTherapy #MedicalInnovation #ALSResearch #Biotechnology #NeurodegenerativeDisease #MedicalBreakthrough #ClinicalTrials #Healthcare #Innovation #Neurodegeneration #Neuroplasticity #MedicalDevices #Immunotherapy #NeuroscienceInnovation #FutureOfMedicine #NonPharmaTherapies hopeneuron.com Listen to the podcast here

Diffusion models changed how we generate images and video—now they're coming for text.In this episode, we sit down with Stefano Ermon, Stanford computer science professor and founder of Inception Labs, to unpack how diffusion works for language, why it can generate in parallel (instead of token-by-token), and what that means for latency, cost, and real-time AI products.We talk through:The simplest mental model for diffusion: generate a full draft, then refine it by “fixing mistakes”Why today's autoregressive LLM inference is often memory-bound—and why diffusion can shift it toward a more GPU-friendly compute profileWhere Mercury wins today (IDEs, voice/real-time agents, customer support, EdTech—anywhere humans can't wait)What changes (and what doesn't) for long context and architecture choicesThe real-world way to evaluate models in production: offline evals + the gold-standard A/B testStefano also shares what's next on Mercury's roadmap—especially around stronger planning and reasoning for agentic use cases.Try Mercury + learn more: inceptionlabs.aiFor more practical, grounded conversations on AI systems that actually work, subscribe to The Neuron newsletter at https://theneuron.ai.

Send a textIn this episode, we're honoured to be re-joined by Professor Amanda Ellison who disced all things about the brain and headaches on episode 92, Splitting: The Inside Story on Headaches Professor Ellison has published more than 80 peer-reviewed papers, earning close to 3,000 citations, with research spanning visual neuroscience, sensorimotor systems, and neuronal disruption in conditions such as migraine and headache disorders. Her work provides valuable insight into how the brain functions—and malfunctions—following injury or dysfunction.Alongside her academic research, Professor Ellison is a passionate science communicator and the author of Getting Your Head Around the Brain and Splitting: The Inside Story on Headaches, two widely respected books that translate complex neuroscience into accessible, real-world understanding.02:00 - The Love for Action Potentials04:20 – What is Neuron and Why are the Special?07:30 – It Does Not Like the Text Book11:00 – What is an Action Potential and What is the Physiology Behind it?24:30 –How Neurons Communicate 29:35 - The Story of Camillo Golgi and Santiago Ramón Cajal 34:35 – Chemical Signals of Action Potentials 43:50 – Mitochondria, ATP and Sodium Potassium Pumps47:00 – Conceptualizing it All54:10 – Fatigue, ATP and mTBI59:00 – Calcium's Role01:08:54 – Favourite Thing About Professor Ellison's WorkGoogle Scholar: https://scholar.google.com/citations?user=-z_DSs4AAAAJ&hl=enSplitting: Inside Story on Headaches (https://www.amazon.com.au/Splitting-Inside-Headaches-Amanda-Ellison/dp/1472971396) Getting Your Head Around The Brain: https://www.amazon.com.au/Getting-your-head-around-brain-ebook/dp/B09HZ9FVSR?ref_=ast_author_dp Subscribe, review and share for new episodes which will drop weekly Social media:Twitter: @first concussionFacebook: Headfirst: A concussion podcastInstagram: Headfirst_ Concussion  Email: headfirstconcussion@gmail.com

Customer service is one of the industries most impacted by AI — but what if AI alone isn't the answer?In this episode of The Neuron Podcast, Grant Harvey and Corey Noles sit down with Matt Price, Founder & CEO of Crescendo, to explore how AI and humans working together can outperform automation alone. After spending 13+ years at Zendesk, Matt is now building an AI-native customer experience platform that automates up to 90% of tickets with 99.8% accuracy — without sacrificing empathy, trust, or outcomes.We cover: • Why LLMs are the biggest shift in customer service since the telephone • Why bolting AI onto old CX workflows fails • How Crescendo's multimodal AI can chat, talk, see images, and control devices in one conversation • Real-world examples (like smart sprinkler troubleshooting via voice + vision + APIs) • Why Crescendo combines AI agents with forward-deployed human experts • How outcome-based pricing aligns incentives around real customer satisfaction • How AI is reshaping (not eliminating) customer service jobs • Why “deflection” is the wrong mindset for CX — and what replaces it • What customer support roles look like in an AI-native futureThis is a deep dive into the next generation of customer experience, where AI handles scale and speed — and humans deliver judgment, empathy, and innovation.Subscribe for weekly conversations with the builders shaping the future of AI and work.Subscribe to The Neuron newsletter for more interviews with the leaders shaping the future of work and AI: https://theneuron.ai

Taylor Mullen, Principal Engineer at Google and creator of Gemini CLI, reveals how his team ships 100-150 features and bug fixes every week—using Gemini CLI to build itself. In this first in-depth interview about Gemini CLI's origin story, we explore why command-line AI agents are having a "terminal renaissance," how Taylor manages swarms of parallel AI agents, and the techniques (like the viral "Ralph Wiggum" method) that separate 10x engineers from 100x engineers. Whether you're a developer or AI-curious, you'll learn practical strategies for using AI coding tools more effectively.

Modern AI has been dominated by one idea: predict the next token. But what if intelligence doesn't have to work that way?In this episode of The Neuron, we're joined by Eve Bodnia, Founder and CEO of Logical Intelligence, to explore energy-based models (EBMs)—a radically different approach to AI reasoning that doesn't rely on language, tokens, or next-word prediction.With a background in theoretical physics and quantum information, Eve explains how EBMs operate over an energy landscape, allowing models to reason about many possible solutions at once rather than guessing sequentially. We discuss why this matters for tasks like spatial reasoning, planning, robotics, and safety-critical systems—and where large language models begin to show their limits.You'll learn:What energy-based models are (in plain English)Why token-free architectures change how AI reasonsHow EBMs reduce hallucinations through constraints and verificationWhy EBMs and LLMs may work best together, not in competitionWhat this approach reveals about the future of AI systemsTo learn more about Eve's work, visit https://logicalintelligence.com.For more practical, grounded conversations on AI systems that actually work, subscribe to The Neuron newsletter at https://theneuron.ai.

Proč musí být vědec extrémně odolný vůči stresu a neúspěchu? Co ho přivedlo ze zahraničních pracovišť zpátky do laboratoře VŠCHT? Má české vědecké prostředí oproti zahraničí nějakou výhodu? Bere jako pochvalu, že studenti údajně poslouchají jeho přednášky jako dobrý podcast? Proč považuje popularizaci za primární cíl vědy? Je těžké zodpovídat dotazy na platformě Zeptej se vědce srozumitelně a jednoduše? Proč je důležité, aby vědecky ověřené informace byly dostupné v češtině?Všechny díly podcastu Jak to vidí... můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

AI is moving fast — and 2026 is shaping up to be a turning point.In this livestream, Corey and Grant from The Neuron break down our biggest AI predictions for 2026, including:

In this special episode, we go hands-on with three cutting-edge AI tools from Google Labs. First, Jaclyn Konzelman (Director of Product Management) demos Mixboard, an AI-powered concepting board that transforms ideas into visual presentations using Nano Banana Pro. Then, Thomas Iljic (Senior Director of Product Management) shows us Flow, Google's AI filmmaking tool that lets you create, edit, and animate video clips with unprecedented control. Finally, Megan Li (Senior Product Manager) walks us through Opal, a no-code AI app builder that lets anyone create custom AI workflows and mini-apps using natural language.Subscribe to The Neuron newsletter: https://theneuron.aiLinks:Mixboard: https://mixboard.google.com Flow: https://flow.google Opal: https://opal.google Google Labs: https://labs.google 

High blood pressure is one of the most common and treatable risk factors for cognitive decline, and researchers are still working to understand exactly how it affects the brain. A preclinical study from Weill Cornell Medicine, published in Neuron, suggests hypertension may trigger early gene expression changes in the brain, affecting neurons, blood vessels, and white matter before there's any measurable rise in blood pressure.Dr. Costantino Iadecola, the study's senior author, is a neurologist and the director of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine. His research examines how brain blood vessels support cognition and what happens when that system is disrupted by vascular risk factors like hypertension.In this interview with Being Patient's Mark Niu, Iadecola explains that in a controlled mouse model, researchers saw changes in blood vessels within days of triggering hypertension. He notes that high blood pressure is part of a broader process that can quietly affect multiple organs, including the brain, before obvious symptoms appear. He also discusses why controlling blood pressure dramatically reduces stroke risk but may not lower dementia risk as much as hoped, suggesting prevention may need to start earlier and be more individualized. For now, he emphasizes improving diet, staying active, and taking medication when appropriate to manage blood pressure. If you loved listening to this Live Talk, visit our website to find more of our Alzheimer's coverage and subscribe to our newsletter: https://www.beingpatient.com/Follow Being Patient: Twitter:   / being_patient_  Instagram:   / beingpatientvoices  Facebook:   / beingpatientalzheimers  LinkedIn:   / being-patient  Being Patient is an editorially independent journalism outlet for news and reporting about brain health, cognitive science, and neurodegenerative diseases. In our Live Talk series on Facebook, former Wall Street Journal Editor and founder of Being Patient, Deborah Kan, interviews brain health experts and people living with dementia. Check out our latest Live Talks: https://beingpatient.com/live-talks/

Rodila se v době, kdy po Praze visely plakáty s hesly Pomozte české vědě a kdy vládní dotace do výzkumu stopla hospodářská krize. Nadace Neuron, u jejichž začátků stála Monika Řasa Vondráková, chtěla zastavit odliv vědeckých mozků ze země a přilákat je zpět. „Tehdy jsem působila jako studentka přes rok v Izraeli, kde jsem viděla, jak si tam talenty hýčkají, podporují a snaží se je udržet ve své zemi. Přemýšlela jsem, jak něčeho podobného docílit i u nás,“ vzpomíná. Věděla, že věda je drahá, zároveň si ale před sedmnácti lety lidé pod slovem vědec představovali podivného mužíčka v bílém plášti zavřeného v laboratoři. V čem byla pro Nadaci Neuron inspirací Nobelova cena? Kdo vybírá laureáty cen? Kde leží jezero, jež objevili čeští vědci a pojmenovali Neuron? Jaký sen plní nadace sedmnáctileté vědkyni? A jak chtějí k vědě nalákat mladé lidi? Nejen o tom je další díl Forbes byznys podcastu.

As part of the Comic Boom! and Comic Source collaboration, this DC Spotlight for the week of January 28, 2026 finds Jace and Rocky breaking down a packed slate of fourteen DC releases, with discussion opening on the passing and legacy of Sal Buscema before turning to the week's books. DC KO: The Kids Are All Fight Special #1 is examined for its focus on younger heroes and its place as a largely skippable but well-drawn tie-in, while Detective Comics #1105 continues Tom Taylor's "The Courage That Kills" arc with deeper insight into the Lion's origin and Gotham's escalating crisis. Harley Quinn #58 is discussed as the start of a new arc that feels tonally familiar, followed by the Supergirl Next Door Valentine's anthology, which offers mixed results across stories spotlighting Supergirl, Jay Garrick, Poison Ivy, Guy Gardner, Wonder Woman, Swamp Thing, Martian Manhunter, and Green Arrow. Green Lantern #31 features a nostalgic Hal Jordan and Barry Allen team-up that advances Jeremy Adams' larger arc in subtle ways, while Superman #34 pushes Superboy Prime further into moral conflict against the Dark Legion. Absolute Martian Manhunter #8 stands out for its conceptual storytelling and increased narrative momentum, The Flash #29 introduces Dream Girl as a potential crack in Darkseid's Legion, and Harley and Ivy: Love and Crimes #3 explores the early dynamics between Harley Quinn and Poison Ivy with a more grounded emotional approach. Justice League Unlimited #15 and Justice League Red #6 wrap major threads involving Neuron, time-displaced heroes, and Red Tornado's reckoning, while Absolute Batman #16 delivers a character-driven underworld journey with Wonder Woman that highlights Bruce Wayne's loyalty and sacrifice. Absolute Flash #11 provides major revelations about the Still Point and the source of Wally West's power, and Absolute Wonder Woman #16 launches the "Season of the Witch" arc with Absolute Zatanna and a reimagined Suicide Squad, setting the stage for one of the week's most consequential confrontations.

Autonomous coding agents are moving from demos to real production workflows. In this episode, Factory AI co-founder and CTO Eno Reyes explains what "Droids" really are—fully autonomous agents that can take tickets, modify real codebases, run tests, and work inside existing dev workflows.We dig into Factory's context compression research (which outperformed both OpenAI and Anthropic), what makes a codebase "agent-ready," and why Stanford research found that the ONLY predictor of AI success was codebase quality—not adoption rates or token usage.Whether you're a developer curious about autonomous coding tools or just want to understand where AI engineering is headed, this episode is packed with practical insights.

Mike Oaten is the Founder and CEO of TIKOS, working on building AI assurance, explainability, and trustworthy AI infrastructure, helping organizations test, monitor, and govern AI models and systems to make them transparent, fair, robust, and compliant with emerging regulations.Cracking the Black Box: Real-Time Neuron Monitoring & Causality Traces // MLOps Podcast #358 with Mike Oaten, Founder and CEO of TIKOSJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAs AI models move into high-stakes environments like Defence and Financial Services, standard input/output testing, evals, and monitoring are becoming dangerously insufficient. To achieve true compliance, MLOps teams need to access and analyse the internal reasoning of their models to achieve compliance with the EU AI Act, NIST AI RMF, and other requirements.In this session, Mike introduces the company's patent-pending AI assurance technology that moves beyond statistical proxies. He will break down the architecture of the Synapses Logger, a patent-pending technology that embeds directly into the neural activation flow to capture weights, activations, and activation paths in real-time.// BioMike Oaten serves as the CEO of TIKOS, leading the company's mission to progress trustworthy AI through unique, high-performance AI model assurance technology. A seasoned technical and data entrepreneur, Mike brings experience from successfully co-founding and exiting two previous data science startups: Riskopy Inc. (acquired by Nasdaq-listed Coupa Software in 2017) and Regulation Technologies Limited (acquired by mnAi Data Solutions in 2022).Mike's expertise spans data, analytics, and ML product and governance leadership. At TIKOS, Mike leads a VC-backed team developing technology to test and monitor deep-learning models in high-stakes environments, such as defence and financial services, so they comply with the stringent new laws and regulations.// Related LinksWebsite: https://tikos.tech/LLM guardrails: https://medium.com/tikos-tech/your-llm-output-is-confidently-wrong-heres-how-to-fix-it-08194fdf92b9Model Bias: https://medium.com/tikos-tech/from-hints-to-hard-evidence-finally-how-to-find-and-fix-model-bias-in-dnns-2553b072fd83Model Robustness: https://medium.com/tikos-tech/tikos-spots-neural-network-weaknesses-before-they-fail-the-iris-dataset-b079265c04daGPU Optimisation: https://medium.com/tikos-tech/400x-performance-a-lightweight-open-source-python-cuda-utility-to-break-vram-barriers-d545e5b6492fHyperbolic GPU Cloud: app.hyperbolic.ai.Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Mike on LinkedIn: /mike-oaten/Timestamps:[00:00] Regulations as Opportunity[00:25] Regulation Compliance Fun[02:49] AI Act Layers Explained[05:19] Observability in Systems vs ML[09:05] Risk Transfer in AI[11:26] LLMs and Model Approval[14:53] LLMs in Finance[17:17] Hyperbolic GPU Cloud Ad[18:16] Stakeholder Alignment and Tech[22:20] AI in Regulated Environments[28:55] Autonomous Boat Regulations[34:20] Data Compliance Mapping[39:11] Data Capture Strategy[41:13] EU AI Act Insights[44:52] Wrap up[45:45] Join the Coding Agents Conference!

AI reasoning models don't just give answers — they plan, deliberate, and sometimes try to cheat.In this episode of The Neuron, we're joined by Bowen Baker, Research Scientist at OpenAI, to explore whether we can monitor AI reasoning before things go wrong — and why that transparency may not last forever.Bowen walks us through real examples of AI reward hacking, explains why monitoring chain-of-thought is often more effective than checking outputs, and introduces the idea of a “monitorability tax” — trading raw performance for safety and transparency.We also cover:Why smaller models thinking longer can be safer than bigger modelsHow AI systems learn to hide misbehaviorWhy suppressing “bad thoughts” can backfireThe limits of chain-of-thought monitoringBowen's personal view on open-source AI and safety risksIf you care about how AI actually works — and what could go wrong — this conversation is essential.Resources: Title URLEvaluating chain-of-thought monitorability | OpenAI https://openai.com/index/evaluating-chain-of-thought-monitorability/Understanding neural networks through sparse circuits | OpenAI https://openai.com/index/understanding-neural-networks-through-sparse-circuits/OpenAI's alignment blog: https://alignment.openai.com/

“Naturalistic stimuli open up new exploration…”Dr. Christopher Baldassano is an associate professor at Columbia University and leads the Dynamic Perception and Memory Lab. With a background in electrical engineering from Princeton and a PhD in computer science from Stanford, Chris has pioneered innovative approaches to understanding memory and cognition. Following a postdoc at Princeton with Uri Hasson and Ken Norman, he joined Columbia in 2018. His research focuses on how the brain processes, stores, and retrieves events using naturalistic stimuli, hidden Markov models, and multivariate analysis techniques.In this episode, Peter and Chris explore the fascinating world of event structures and memory. They discuss Chris's pioneering work on event scripts, neural frameworks that act as cognitive scaffolds for autobiographical memories. The conversation covers how the brain segments continuous experience into discrete events, the role of event boundaries in memory encoding, and the critical function of the hippocampus in organizing these temporal structures. Chris explains his use of naturalistic stimuli and hidden Markov models to reveal the subtle dynamics of how we combine recurring information to respond more efficiently to future experiences. Along the way, Chris shares valuable insights on the evolution of neuroscience research and offers thoughtful advice for aspiring scientists navigating the field.We hope you enjoy this episode!Chapters:00:00 - Introduction07:37 - Transitioning from Computer Science to Neuroscience13:01 - Exploring Naturalistic Stimuli in Neuroscience18:11 - Hidden Markov Models in Narrative Perception22:46 - Event Boundaries and Memory Encoding27:49 - The Role of the Hippocampus in Memory33:01 - Implications for Mental Health and Memory Disorders38:19 - Enhancing Memory Techniques41:11 - Contextualization in Memory46:19 - Understanding Brain States49:01 - AI and Contextual Knowledge53:29 - Infant Cognition and Event Structures01:01:31 - Future Directions in ResearchWorks mentioned:2:28 - https://www.youtube.com/watch?v=jPLWOBmaLkY(Baldassano talk at NIH workshop on naturalistic stimuli)14:42 - https://pubmed.ncbi.nlm.nih.gov/28772125/(Baldassano et al., 2017 - Neuron - "Discovering Event Structure in Continuous Narrative Perception and Memory")15:02 - https://pubmed.ncbi.nlm.nih.gov/30249790/(Baldassano et al., 2018 - Journal of Neuroscience - "Representation of Real-world Event Schemas During Narrative Perception")18:24 - https://pubmed.ncbi.nlm.nih.gov/29087305/(Vidaurre, Smith & Woolrich, 2017 - PNAS - "Brain network dynamics are hierarchically organized in time" - using Markov models in a different way)19:41 - https://pubmed.ncbi.nlm.nih.gov/17338600/(Zacks et al., 2007 - Psychological Bulletin - "Event perception: A mind-brain perspective" - foundational work on event boundary processes)27:04 - https://pubmed.ncbi.nlm.nih.gov/27121839/(Huth et al., 2016 - Nature - "Natural speech reveals the semantic maps that tile human cerebral cortex" - semantic information stored throughout the brain)37:15 - https://pubmed.ncbi.nlm.nih.gov/22982082/(LePort et al., 2012 - Neurobiology of Learning and Memory - Jim McGaugh's study on highly superior autobiographical memory)53:01 - https://pubmed.ncbi.nlm.nih.gov/36252007/(Yates et al., 2022 - PNAS - "Neural event segmentation of continuous experience in human infants")Episode producers:Xuqian Michelle Li

Everyone is rushing to build AI agents — but most companies are setting themselves up for failure.In this episode of The Neuron, Darin Patterson, VP of Market Strategy at Make, explains why agentic AI only works if your automation foundation is solid first. We break down when to use deterministic workflows vs AI agents, how to avoid fragile automation sprawl, and why visibility into your entire automation landscape is now mission-critical.You'll see real examples of building agents in Make, how Model Context Protocol (MCP) fits into modern workflows, and why orchestration — not hype — is the real unlock for scaling AI safely inside organizations.Subscribe to The Neuron newsletter for more interviews with the leaders shaping the future of work and AI: https://theneuron.ai

IBM just released Granite 4.0, a new family of open language models designed to be fast, memory-efficient, and enterprise-ready — and it represents a very different philosophy from today's frontier AI race.In this episode of The Neuron, IBM Research's David Cox joins us to unpack why IBM treats AI models as tools rather than entities, how hybrid architectures dramatically reduce memory and cost, and why openness, transparency, and external audits matter more than ever for real-world deployment.We dive into long-context efficiency, agent safety, LoRA adapters, on-device AI, voice interfaces, and why the future of AI may look a lot more boring — in the best possible way.If you're building AI systems for production, agents, or enterprise workflows, this conversation is required listening.Subscribe to The Neuron newsletter for more interviews with the leaders shaping the future of work and AI: https://theneuron.ai

Imagine an AI that doesn't just output answers — it remembers, adapts, and reasons over time like a living system. In this episode of The Neuron, Corey Noles and Grant Harvey sit down with Zuzanna Stamirowska, CEO & Cofounder of Pathway, to break down the world's first post-Transformer frontier model: BDH — the Dragon Hatchling architecture.Zuzanna explains why current language models are stuck in a “Groundhog Day” loop — waking up with no memory — and how Pathway's architecture introduces true temporal reasoning and continual learning. We explore:• Why Transformers lack real memory and time awareness • How BDH uses brain-like neurons, synapses, and emergent structure • How models can “get bored,” adapt, and strengthen connections • Why Pathway sees reasoning — not language — as the core of intelligence • How BDH enables infinite context, live learning, and interpretability • Why gluing two trained models together actually works in BDH • The path to AGI through generalization, not scaling • Real-world early adopters (Formula 1, NATO, French Postal Service) • Safety, reversibility, checkpointing, and building predictable behavior • Why this architecture could power the next era of scientific innovationFrom brain-inspired message passing to emergent neural structures that literally appear during training, this is one of the most ambitious rethinks of AI architecture since Transformers themselves.If you want a window into what comes after LLMs, this interview is essential.Subscribe to The Neuron newsletter for more interviews with the leaders shaping the future of work and AI: https://theneuron.ai

Watch every episode ad-free & uncensored on Patreon: https://patreon.com/dannyjones Stuart Hameroff is an astrobiologist, retired anesthesiologist and leader of the Science of Consciousness conferences at the University of Arizona. Hameroff is best known for his controversial belief that consciousness originates from quantum states in neural microtubules. SPONSORS https://prizepicks.onelink.me/LME0/DANNY - Use code DANNY to get $50 in lineups when you play your first $5 lineup. https://shopmando.com - Use code DANNY to get $5 off your Starter Pack. https://dupe.com - Find similar products for less - 100% free to use. https://whiterabbitenergy.com/?ref=DJP - Use code DJP for 20% off EPISODE LINKS https://x.com/StuartHameroff https://consciousness.arizona.edu/science-consciousness-2026 FOLLOW DANNY JONES https://www.instagram.com/dannyjones https://twitter.com/jonesdanny OUTLINE 00:00 - Connection between anesthesia & consciousness 02:14 - How anesthesia works 08:54 - Overdosing vs. underdosing anesthesia 12:31 - Scariest patients to administer anesthesia to 15:45 - Why computers can't replicate consciousness 21:18 - Consciousness & the collapse of the wave function 29:15 - Consciousness is fundamental, not emergent 30:19 - Simulation theory is a "cop-out" 34:29 - NASA's OSIRIS-REx Asteroid sample return mission 40:56 - The origin of life on Earth 42:20 - Microtubules & time crystals 43:58 - Evidence of consciousness in plants 46:27 - Why microtubules could be the source of consciousness 48:25 - Can AI develop consciousness? 53:48 - Psilocybin consciousness experiment 55:08 - What happens to consciousness when the body dies 01:01:53 - Consciousness is controlled by our subconscious 01:03:32 - How evolution is driven by consciousness & pleasure 01:06:47 - Life is the vehicle for consciousness 01:10:32 - How to create consciousness from scratch 01:13:13 - Consciousness in the afterlife & reincarnation 01:15:23 - Consciousness is a hologram 01:17:35 - How psychedelics elevate consciousness 01:23:25 - The logic of dreams 01:25:37 - memories encoded in organ transplants 01:32:07 - How to confirm microtubules hypotheses 01:35:53 - The leading Alzheimer's treatment is a scam 01:41:41 - Top Alzheimer's treatment researchers VANISHED 01:44:20 - New theoretical Alzheimer's cure 01:50:08 - Beneficial effects of ultrasound therapy 01:53:58 - Dangers of ultrasound technology 01:59:18 - New study on ultrasound on the brain 02:06:11 - Proof of ultrasound reversing Alzheimer's 02:09:10 - Quantum consciousness + parapsychology 02:16:42 - Neuron biology & why the brain is more than a computer 02:20:09 - Suspicious movement of plasma ball lightning 02:23:18 - Anesthesia vs. the corona effects Learn more about your ad choices. Visit podcastchoices.com/adchoices

A competition to design small, efficient neural models might provide new insight into real brains—and perhaps unite disparate modeling efforts.

Erika KirkWhen Mark passed away in 2017, I knew I was vulnerable from trauma andgrief. Since I had healed from within myself using birthright methods Marktaught me in PTSD: Time to Heal, I had evolved with knowledge that is ourdefense against mind control and subsequently consciously chose to standstrong.We have been made perfect with resiliency of body, mind, and spirit. Byreclaiming my free thought free will, I was free to consciously choose toalign with the divine within.When past abusers descended on me like vultures, I watched theirparadigms shift with realization that their darkness could no longer creep inmy light. My vulnerability was divinely protected against their attempts tore-impose their MK Ultra means.Mind control is spiritual warfare that is won by divine design. The victory isalready within us. To consciously claim our victory in light of free thought, itis imperative to remember who we are and why we are here by openingneuron pathways in our brilliant brains. Mind control's trauma shuts downneuron pathways. We need to keep our brains firing properly by openingneuron pathways in order to maintain clarity of free thought.Being free to think to stand strong amidst traumatic grief's vulnerability isour saving grace. Without it, we fall prey to those seeking to further theirMK Ultra agenda.Assassinations occur to impose control. Anyone who does not cooperatewith controls are eliminated from their position and replaced with someonewho is compliant with demands of the agenda. Knowledge is our defenseand vigilance is imperative.When Mark passed in 2017, I knew my highly political MK Ultra abuserswould attempt to prove healing from mind control was not possible bytaking me back under control. By standing strong with free thought free willintact, I continue to prove healing from within is abSOULute. It is ourbirthright to heal and be free to live life's purpose.Had I fallen prey to therapeutic methods imposed from outside of myself, Iwould have layered over compartmentalized memory. Reprogrammingleaves triggers in place to be reactivated at any time. Believing you arehealed is vastly different from Being healed. Deprogramming from withinself opens neuron pathways in the brain, freeing compartmentalizedmemory to be consciously dealt with whereby triggers are diffused.Neuron pathways in the brain are easily opened simply by moving a pen towrite out trauma, grief and fear. The very act of moving a pen activates thelogic part of the brain whereby shifting emotionally incomprehensiblecompartmentalized trauma or grief over to logic while it is written out onpaper and consciously seen. Healing occurs psychiatrically,psychologically, emotionally, and spiritually all at once.Because I knew I was vulnerable after Mark passed, I took my time inmoving forward. I did not speak publicly nor surround myself withdistractions of loud music, tv, or social media devices. Instead, I focusedwithin to strengthen in order to effectively carry our shared life's purposeforward free of outside influence.In the silence I found miracles and something of the divine alwaysunfolding. I found Mark's love, wisdom, and beautiful memories living on inme, empowering me to honor him every step of the way toward my future.I withstood vicious attacks through numerous psy ops intended toundermind me, including imposters pretending to be my daughter. I did notdefend my situation by revealing my daughter is with me, because she, too,was a target of past abusers seeking to prey on her.

Carina Hong dropped out of Stanford's PhD program to build "mathematical superintelligence" — and just raised $64M to do it. In this episode, we explore what that actually means: an AI that doesn't just solve math problems but discovers new theorems, proves them formally, and gets smarter with each iteration. Carina explains how her team solved a 130-year-old problem about Lyapunov functions, disproved a 30-year-old graph theory conjecture, and why math is the secret "bedrock" for everything from chip design to quant trading to coding agents. We also discuss the fascinating connections between neuroscience, AI, and mathematics.Lean more about Axiom: https://axiommath.ai/ Subscribe to The Neuron newsletter: https://theneuron.ai

Nick Talken started a 3D printing materials company in a trailer lab in his co-founder's backyard, sold it to a 145-year-old German chemical giant, then spun out an AI platform that's now transforming R&D for Fortune 100 companies. Albert Invent's foundational AI model—trained on 15 million molecular structures—is helping scientists at companies like Kenvue (maker of Tylenol, Neutrogena, and Listerine) compress projects from 3 months to 2 days. We dig into how enterprises train bespoke AI models on proprietary data, why you can't just use ChatGPT for chemistry, and what becomes possible when AI can "think like a chemist."Subscribe to The Neuron newsletter: https://theneuron.aiAlbert Invent website: https://www.albertinvent.comKenvue partnership announcement: https://www.businesswire.com/news/home/20251014240355/en/

In today's episode, we dig into one of the most powerful (and most misunderstood) features of the human brain: your built in negativity bias. You'll learn:why your brain holds onto negative experienceswhy “reality” is filtered, not objectivehow the Reticular Activating System (RAS) decides what you noticeand how mountain biking is a surprisingly effective tool for retraining your attentionIf you've ever wondered why one bad ride, one mistake, or one negative comment sticks in your mind far longer than all the good stuff combined, this episode will finally help you make sense of it and CHANGE it! You'll learn practical, science-backed tools to start training your attention today (on the trail and in daily life) so your brain becomes better at noticing possibilities, capabilities, and micro-wins instead of dangers and mistakes to build a more supportive inner environment.We explore:Baumeister et al., “Bad Is Stronger Than Good”the fast subcortical threat pathway that triggers your amygdala before you can thinkwhy positive moments fade unless you consciously reinforce themhow attention literally rewires your neural pathway Hebbian learningand why your RAS acts like a “bouncer,” filtering your world based on what you engage with✨ Patreon Bonus: Patrons get a free downloadable cheat sheet that summarizes all tools and concepts from today's episode.Join here to get it PLUS other exclusive perks: https://www.patreon.com/c/rideandinspire This episode is not sponsored. It's made possible by the lovely humans who support my work on Patreon. If you want to help me keep creating science-based, real-talk MTB content, JOIN my Patreon, thank you.

Sam Liang worked on the team that built the "blue dot" for Google Maps and now he's transforming how we think about meetings with Otter.ai. Fresh off crossing $100M in ARR with a lean team of less than 200, Sam joins us to discuss how Otter evolved from passive transcription to active AI agents that participate in your meetings. Learn practical strategies for building reliable voice AI, implementing enterprise knowledge bases, and deploying AI agents that actually deliver ROI.Resources mentioned:• Otter.ai $100M ARR announcement: https://otter.ai/blog/otter-ai-breaks-100m-arr-barrier• HIPAA compliance: https://otter.ai/blog/otter-ai-achieves-hipaa-complianceSubscribe to The Neuron newsletter: https://theneuron.ai

Episode SummaryIn this Think Thursday episode, Molly explores why December feels so emotionally intense and why anticipation plays such a powerful role in our thoughts, feelings, and habits. Anticipation is not just psychological. It is driven by the brain's predictive systems that simulate the future long before it arrives.Using findings from neuroscience, including research highlighted in Neuron, University College London, Stanford University, and studies on dopamine and reward processing, Molly explains how imagining the future changes our emotional state in the present. She shows how anticipation can create craving, heighten anxiety, and influence behavior before anything even happens.Importantly, she connects this science to behavior change. When we understand anticipation, we gain the ability to shape our emotional experience, support our habit goals, and build a stronger relationship with our future selves.What You Will LearnWhy the brain is not reactive but predictiveHow the prospection network simulates possible futuresWhy anticipation activates the same regions involved in memory and emotionHow dopamine spikes during anticipation more than during rewardWhy the holidays intensify emotional forecastingHow the brain treats future you similarly to a strangerHow anticipation contributes to cravings, stress, and anxietyPractical strategies for using anticipation intentionally in behavior changeKey Insights from the EpisodeAnticipation is a physiological experience. Heart rate, dopamine, and emotional readiness all shift based on prediction.December amplifies anticipation because the brain is projecting ahead using vivid emotional memories from past holidays.Many habit patterns with alcohol, eating, and spending are anticipatory rather than reactive in the moment.The medial prefrontal cortex becomes less active when imagining the distant future, which explains why future you feels separate.Mental rehearsal activates the same neural pathways as actual behavior and can support intentional change.Anticipatory framing can influence how stressful events are interpreted afterward.Practical Tools from the Episode1. Anticipate the emotional landscape, not the event. Shift from worrying about what will happen to planning for how you want to feel.2. Rehearse your chosen identity. Imagine yourself acting in alignment with your values to strengthen the neural pathways that support follow-through.3. Shorten the distance to future you. Ask questions like:What will tonight's me thank me forWhat does tomorrow morning's me need4. Anticipate urges with curiosity. Recognize that urges are forecasts of relief, not emergencies.5. Create micro anticipations that ground you. Examples include expecting the first sip of warm tea, a quiet step outside, or the feeling of waking up proud the next morning.Studies and Sources Mentioned2023 review in Neuron on the prospection networkUniversity College London study on dopamine release during anticipatory uncertaintyStanford University research on future self representation in the brainStudies from the University of Michigan and Max Planck Institute on dopamine and anticipation2024 Psychological Science study on anticipatory framing and stress interpretation ★ Support this podcast ★

Trong video này, bạn sẽ học được 2 từ khoá mới. Hãy viết xuống và tiếp tục nghiên cứu thêm nhé.(1) Farmer's carry(2) Neuron vận động

In today's episode, I'm opening the first chapter of what I believe is the most important series I've ever created — a deep dive into progesterone and why it became the heart of my medical practice. For more than 20 years, I've watched this “simple, humble hormone” transform women's lives in ways most conventional medicine overlooks. What started in two small treatment rooms has grown into a 25,000 sq ft facility, and the core of our success comes down to understanding progesterone's impact on the female brain, stress response, and emotional resilience. In this episode, I break down: Why progesterone is far more than a reproductive hormone How it regulates the female stress response (amygdala, hippocampus, prefrontal cortex) Why anxiety, insomnia, irritability, and emotional overwhelm often map directly to progesterone decline Why so many women feel “unraveled” in their 40s — and why it's not their fault The science behind oral vs. sublingual progesterone (and why I use troches) How conventional medicine often misses the root cause The importance of physicians showing their work, their data, and their citations The lived stories and clinical outcomes that changed how I practice medicine If you've ever felt dismissed, unseen, or told that your anxiety or mood changes are “just stress,” this episode is for you. This is the beginning of a 7-part series where I break down the neurobiology, endocrinology, testing, dosing, delivery methods, breast health, perimenopause, and more.   Citations: Brinton, Roberta Diaz, et al. “Neurosteroids and Brain Function.” Steroids, vol. 81, 2014, pp. 61–78. Epperson, C. Neill, et al. “New Insights into Perimenopausal Depression: A Neuroendocrine Vulnerability Framework.” The Lancet Psychiatry, vol. 9, no. 2, 2022, pp. 110–118. Frye, Cheryl A. “Neurosteroids—Endogenous Modulators of GABA_A Receptors.” Pharmacology & Therapeutics, vol. 116, no. 1, 2007, pp. 58–76. Genazzani, Andrea R., et al. “Progesterone, Stress, and the Brain.” Human Reproduction Update, vol. 16, no. 6, 2010, pp. 641–655. Meeker, John D., et al. “Environmental Endocrine Disruptors: Their Effects on Human Reproduction and Development.” Reproductive Toxicology, vol. 25, 2008, pp. 1–7. Mellon, Stanley H. “Neurosteroid Regulation of Central Nervous System Development.” Pharmacology & Therapeutics, vol. 116, 2007, pp. 107–124. Mizrahi, Romy, et al. “The Role of Allopregnanolone in Stress, Mood, and Trauma.” Neurobiology of Stress, vol. 11, 2019, 100198. Paul, Steven M., and Graziano Pinna. “Allopregnanolone: From Molecular Pathways to Therapeutic Applications.” Current Opinion in Neurobiology, vol. 48, 2018, pp. 90–96. Pluchino, Nicoletta, et al. “Progesterone and Allopregnanolone: Effects on the Central Nervous System in the Luteal Phase and in Perimenopause.” Gynecological Endocrinology, vol. 36, no. 6, 2020, pp. 441–445. Rasgon, Natalie L., et al. “Perimenopausal Changes in the Brain and Mood: A Review.” Journal of Clinical Endocrinology and Metabolism, vol. 107, no. 4, 2022, pp. 1120–1134. Reddy, Doodipala Samba. “The Neurosteroid Allopregnanolone and GABA-A Receptor Modulation in Epilepsy and Mood Disorders.” Frontiers in Neuroscience, vol. 12, 2018, 933. Schiller, Crystal E., et al. “The Neuroendocrinology of Perimenopausal Depression.” Trends in Neurosciences, vol. 44, no. 2, 2021, pp. 119–135. Schumacher, Michael, et al. “Neuroprotective Effects of Progesterone and Its Metabolites.” Frontiers in Neuroendocrinology, vol. 33, 2012, pp. 415–439. Selye, Hans. “The General Adaptation Syndrome and the Diseases of Adaptation.” Journal of Clinical Endocrinology, vol. 6, no. 2, 1946, pp. 117–230. Sheng, Jun, and György Buzsáki. “Neuronal Firing and Theta Oscillations in the Amygdala During Fear Conditioning.” Neuron, vol. 53, 2007, pp. 653–667. Smith, Sheryl S. “Progesterone Withdrawal Increases Neuronal Excitability in the Hippocampus: A GABA_A Mechanism.” Journal of Neuroscience, vol. 28, 2008, pp. 10171–10179. Snyder, Jonathan S., et al. “Adult Hippocampal Neurogenesis and Stress Regulation.” Nature Reviews Neuroscience, vol. 12, 2011, pp. 1–9. Stanczyk, Frank Z., and Jerilynn C. Prior. “Progesterone and Progestins: A Review of Pharmacology, PK, and Clinical Use.” Steroids, vol. 82, 2014, pp. 1–8. Tu, Ming-Je, et al. “Oral, Vaginal, and Transdermal Progesterone: PK, Metabolism, and Tissue Distribution.” Drug Metabolism Reviews, vol. 52, no. 2, 2020, pp. 1–28. Wang, Jun, et al. “Stress, Amygdala Plasticity, and the Neuroendocrine Interface.” Nature Neuroscience, vol. 10, 2007, pp. 1093–1100. Weinstock, Marta. “The Hippocampus and Chronic Stress.” Neurochemical Research, vol. 42, 2017, pp. 1–12. World Health Organization. Progesterone and Reproductive Function: Clinical Perspectives. WHO, 2019.   Dr. Brendan McCarthy is the founder and Chief Medical Officer of Protea Medical Center in Arizona. With over two decades of experience, he's helped thousands of patients navigate hormonal imbalances using bioidentical HRT, nutrition, and root-cause medicine. He's also taught and mentored other physicians on integrative approaches to hormone therapy, weight loss, fertility, and more. If you're ready to take your health seriously, this podcast is a great place to start.  

In this episode, we sit down with Pavan Davuluri, Corporate Vice President of Microsoft's Windows + Devices business, to explore how Windows is evolving into an AI-native platform. Pavan leads the team responsible for strategy, design, and delivery of Windows products across the full stack - from silicon and devices to platform, OS, apps, experiences, security, and cloud. With 23 years at Microsoft, he's driven the creation of the Surface line and now oversees how hardware and software fuse together with AI at the center. We explore how Copilot is being deeply integrated into Windows, the engineering shifts required to make Windows a more proactive and intelligent platform, and how Microsoft balances powerful automation with user control. From Surface design standards influencing the broader ecosystem to supporting OEM partners in the AI PC era, Pavan reveals the principles guiding Windows' transformation and what the computing experience will look like in the next five years.Subscribe to The Neuron newsletter: https://theneuron.aiMicrosoft Surface: https://www.microsoft.com/surfaceWindows AI features: https://www.microsoft.com/windows/ai-features

While everyone obsesses over which AI model is smartest, a quiet revolution is happening in the infrastructure layer underneath. Modular just raised $250M at a $1.6B valuation to solve a problem most people don't know exists: AI is locked into expensive, vendor-specific hardware ecosystems. Tim Davis, Co-Founder & President of Modular, joins us to explain why his company is building the "hypervisor for AI"—making it possible to write code once and run it on any GPU, from NVIDIA to AMD to Apple Silicon. We dive into why this matters for businesses, what the Android analogy really means, how companies are seeing 70-80% cost reductions, and whether we're even on the right path to superintelligence.Subscribe to The Neuron newsletter: https://theneuron.aiTry Modular: https://modular.comGetting Started Guide: https://modular.com/get-started

In this episode, we sit down with Scott Guthrie, EVP of Microsoft's Cloud + AI Group, to explore the architecture behind Azure's AI Superfactory. Scott oversees Microsoft's hyperscale cloud computing solutions including Azure, generative AI platforms, and next-generation infrastructure. We dive into Microsoft's strategic approach to AI datacenter buildout, the innovative Fairwater architecture with its 120,000+ fiber miles of AI WAN backbone, and how Microsoft is balancing performance, sustainability, and cost at planet-scale. From dense GPU clusters drawing 140kW per rack to closed-loop liquid cooling systems, Scott reveals the engineering trade-offs behind infrastructure that powers frontier AI models with trillions of parameters. Whether you're an enterprise leader planning AI adoption or a developer curious about cloud architecture, you'll leave understanding how Microsoft is executing on next-gen infrastructure that transforms global challenges into opportunities.Subscribe to The Neuron newsletter: https://theneuron.ai

This week, we are joined by Kevin Mitchell, Associate Professor of Genetics and Neuroscience at Trinity College Dublin, who has committed the unforgivable sin of pointing out that an entire academic and media hype cycle might be built on… well, very little actually. His new co-authored paper in Neuron politely dismantles the highly promoted link between the gut microbiome and autism, which turns out to rest on flawed studies, contradictory findings, creative statistics, and a touching faith in mice burying marbles.Kevin walks us through the joys of observational studies that don't replicate, mouse experiments that don't make sense, and clinical trials where there is no blinding and no control wing, and shockingly, everyone reports feeling better. Meanwhile, journalists and wellness gurus eagerly report each new “breakthrough”, unburdened by any concerns about the strength of evidence or methodological robustness.In the end, the microbiome–autism connection looks less like a sturdy scientific stool and more like three damp twigs taped together by optimism and marketing departments.We finish, naturally, by dragging Matt back out of his panpsychism phase and asking whether consciousness is really fundamental to the universe or just something that happens in podcasters who haven't slept enough.LinksMitchell, K. J., Dahly, D. L., & Bishop, D. V. (2025). Conceptual and methodological flaws undermine claims of a link between the gut microbiome and autism. Neuron.Kevin Mitchell's Website

Retool CEO David Hsu reveals that 48% of non-engineers are now shipping software. We explore how AI is democratizing software development, why engineers might stop coding internal apps within 18-24 months, and what this means for the future of work. David shares insights from Retool's survey of 10,000+ companies, Retool's new AppGen program, and how "tomorrow's developers" are using AI to build real production applications on enterprise data.Subscribe to The Neuron newsletter: https://theneuron.aiLearn more about Retool: https://retool.com

Behind every AI response, there's an invisible army of humans who trained it. In this episode, we talk with Casper Elliott from Invisible Technologies - the company that's trained 80% of the world's top AI models. We explore how models actually learn, why data quality matters more than quantity, what enterprises get wrong about AI deployment, and whether AI will really automate everyone's jobs. Casper shares insights from working with frontier labs, reveals the surprising skills that make great AI trainers (hint: League of Legends helps), and explains why the future needs more humans, not fewer.Subscribe to The Neuron newsletter: https://theneuron.aiLearn more about Invisible Technologies: https://invisibletech.ai

Computers can see and hear, but they've never been able to smell—until now. In this episode, we sit down with Alex Wiltschko, Founder & CEO of Osmo, to explore how his company is using AI to digitize scent. Alex walks us through how they "teleported" the smell of a fresh plum across their lab, created the world's first AI-designed fragrance molecules, and built Osmo Studio—a platform that lets anyone design custom fragrances in one week instead of two years. We discuss the read/map/write framework for digitizing smell, why scent is tied directly to memory and emotion, and how this technology could eventually detect diseases like cancer and Parkinson's earlier than any current diagnostic. Plus: what does the Museum of Pop Culture smell like, and can AI really create a fragrance from a Bon Iver song?Links: Osmo: https://www.osmo.aiScent Teleportation Update: https://www.osmo.ai/blog/update-scent-teleportation-we-did-itOsmo Studio: https://osmostudios.ai/ Subscribe to The Neuron newsletter: https://theneuron.aiCheck out the sponsor of this video, Flora: https://dub.florafauna.ai/neuronSubscribe to The Neuron newsletter: https://theneuron.aiHosted by: Corey Noles and Grant HarveyGuest: Alex Wiltschko (Founder & CEO, Osmo)Published by: Manique SantosEdited by: Kush Felisilda