Podcasts about Mixture

Weeks into the Nancy Guthrie investigation, the forensic picture is more complicated than the headlines suggest.Retired FBI Special Agent Jennifer Coffindaffer assesses what investigators are actually working with—and it's not as clean as the public might assume.The DNA recovered inside the Nancy Guthrie home is a mixture still being separated. Family members, landscapers, service workers all contributed to the sample. Genetic genealogy can't begin until that profile is clean enough to upload. With questions about lab facilities and sample condition, the timeline remains uncertain.The glove found miles from the property? Processed through CODIS. No match to anyone in the system—and critically, no match to the DNA at the scene. Coffindaffer raises the possibility it shouldn't be treated as case evidence at all.Meanwhile: lost Nest camera footage. A pacemaker search running for weeks. Tens of thousands of tips. No suspect identified.But the pressure is building on whoever did this—and Robin Dreeke, former head of the FBI's Counterintelligence Behavioral Analysis Program, breaks down what that pressure is doing to them right now.The reconnaissance windows suggest someone local. Someone who's been watching weeks of national coverage knowing genetic genealogy is processing, the FBI is showing photos at gun shops, and CeCe Moore told national TV the kidnapper should be "extremely concerned."What does that pressure do to someone trying to act normal? What behavioral tells might they be showing to people around them?The forensic awareness at the door suggests planning. The dropped glove suggests panic. Dreeke identifies the signature of someone who may be in over their head.This is the Nancy Guthrie investigation—where it actually stands.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#NancyGuthrie #SavannahGuthrie #TrueCrimeToday #Coffindaffer #RobinDreeke #GeneticGenealogy #DNAEvidence #CODISMiss #TucsonKidnapping #CaseUpdate

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Where does AI actually fit into the mainframe modernization journey? In this week's episode of Mixture of Experts, host Tim Hwang is joined by experts Skyla Loomis, Maryam Ashoori and Kaoutar El Maghraoui. We dive into conversation around AI-powered mainframe modernization and AI builders. Next, 84% of the world has never used AI? A reality check on AI adoption and what needs to change. Finally, OpenClaw exposes some AI agent security gaps. We discuss "agent ops"—the framework for transparency, evaluation, optimization and policy enforcement that makes AI agents production-ready. All that and more on today's Mixture of Experts. 00:00 – Introduction 1:06 – Mainframe modernization 14:18 – AI adoption reality check 29:40 – Security-by-design agentic AI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Learn how to operate AI agents responsibly at scale in the latest Tech Summit → https://ibm.webcasts.com/starthere.jsp?ei=1749693&tp_key=83a9212ff7&sti=podcast

Get our AI news cheat sheet: 20+ prompts for the latest models and tools https://clickhubspot.com/kps Episode 98: Is 2026 shaping up to be the year AI agents become indispensable—and outpace GPT-5? Hosts Matt Wolfe (https://x.com/mreflow)) and Joe Fier (linkedin.com/in/joefier) break down the explosion of new AI models, including Claude Sonnet 4.6, Gemini 3.1 Pro, and Grok 4.2, and explore how these tools are not only smarter but also significantly cheaper than previous state-of-the-art language models. This episode dives deep into the rise of agentic AI, the OpenClaw origin story, and how companies like Meta and ElevenLabs are racing to create integrated, emotionally-aware AI agents. Matt and Joe discuss the rapid democratization of AI, the impact of these advances on creativity and business operations, and the ongoing debate about slowing down AI before it accelerates beyond human control. Plus: practical demos, business tips, and a look at the hardware/software divide in global robotics. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Next Wave Podcast: AI Insights (06:09) Anthropic Blocks, OpenAI Welcomes (10:35) ClaudeBot: AI Team Assistant (20:50) Meta Integrates Manus AI Ads (22:04) AI vs Manual Ad Management (29:55) New AI Models Released (31:54) AI Models Improve, Consumers Unchanged (41:09) Chatbots: Everyday and Advanced Uses (43:57) Mixture of Experts Explained (47:23) AI-Powered Product Photo Creator (56:58) Debating Internet Advancement (01:00:36) To Scale: Human Evolution (01:03:42) AI Debate: Polarized or Balanced? (01:13:16) AI Creativity Still Needs Humans (01:16:40) AI's Future in Entertainment (01:24:15) Experience Enhances AI Creativity (01:27:08) Robots Struggle with Nuance (01:30:27) US-China Collaboration for Smart Robots — Mentions: Joe Fier: https://www.instagram.com/joefier/ Seedance 2.0: https://www.seedance.com/ OpenClaw: https://openclaw.ai/ Manus: https://manus.im/ Nano Banana: https://nanobanana.com/ ElevenLabs: https://elevenlabs.io/ Perplexity: https://www.perplexity.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Long before believers were called “Christians,” they were known as People of the Way—followers of Jesus whose lives reflected His movement in the world. This series walks through the book of Acts, exploring how the early church lived, served, and shared the gospel in a changing world. As we study their story, we're challenged to rediscover what it means to be the church today—faithful, united, and always on the move.

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Do AI agents still need humans? This week on Mixture of Experts, guest host Matt Kosinski from Security Intelligence is joined by Mihai Criveti, Martin Keen and Kush Varshney. First, we unpack Google and DeepMind's massive USD $200B AI infrastructure investment in India— “The Biggest AI Infrastructure Deal in History.” Is this about sovereignty, geography, or something else entirely? Next, Anthropic researcher Nicholas Carlini used Claude to build a fully operational 100,000-line C compiler autonomously. Our experts debate whether this is impressive or inevitable, and what it means for human developers. Then, a sobering reality check: 36% of AI agent skills contain security vulnerabilities. Finally, as IT leaders question AI ROI, we discuss the shift from "how" to "how much" and whether value-based pricing could change everything. All that and more on this week's Mixture of Experts. 00:00 – Introduction 1:22 – Google's $200B AI infrastructure deal in India 7:54– Claude builds a C compiler autonomously 26:25 – Security vulnerabilities in AI agent skills 39:44– The AI ROI problem: Measuring value vs. cost The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Learn more about AI agent vulnerabilities → https://www.ibm.com/think/podcasts/security-intelligence Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120

Pima County Sheriff Chris Nanos says that the unidentified DNA discovered at Nancy Guthrie's residence consists of a mixture, a scenario "common" in cases involving violent crimes.See omnystudio.com/listener for privacy information.

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts What do people really use AI for? This week on Mixture of Experts, we unpack Microsoft's Copilot usage report revealing AI adoption patterns. Host Tim Hwang is joined by IBM Fellow Kush Varshney, Lauren McHugh Olende and Volkmar Uhlig to discuss enterprise AI costs, the Ralph Wiggum prompting strategy for coding agents, and whether giving simple instructions beats micromanaging. Then, we preview the India AI Impact Summit. Finally, AI companies showed up in Superbowl Ads this weekend. Are we witnessing mainstream adoption or just another bubble? All that and more on this week's Mixture of Experts. 00:00 – Introduction 1:07 – Copilot usage reports 10:00 – Ralph Wiggum prompting strategy 20:00 – India AI Impact Summit 28:05– AI ads at the Superbowl The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is OpenAI Codex a game-changer or just catching up? This week on Mixture of Experts, we analyze OpenAI's first-party coding agent app, Codex. Host Tim Hwang and panelists Abraham Daniels, Ambhi Ganesan and first-time guest Sandhya Iyer debate whether Codex gives OpenAI an edge in the crowded AI coding space—or if it's simply table stakes in the agent orchestration race. Next, we revisit Moltbot (now OpenClaw), which spun off Moltbook, the Reddit-style social network for AI agents. Are these agent simulations revealing insights or just fun experiments? Our experts weigh in on the security risks, hallucinations and more. Join us for a packed episode covering coding agents, agent economies and the evolving code assistant landscape. 00:00 – Introduction 01:09 – OpenAI Codex app launch 10:18 – MoltBot/OpenClaw: AI agent social networks The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #OpenAICodex, #AICodingAgents, #MoltBot, #NVIDIAOpenAI, #AIAgentOrchestration

The games begin early in the AI space. In this emergency episode of Mixture of Experts, guest host Aili McConnon is joined by Chris Hay and Mihai Criveti to break down yesterday's back-to-back bombshells: Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex, released within an hour of each other. Our experts dissect both models. Which one actually performs better for coding tasks? Then, we unpack what these releases reveal about the intensifying battle for enterprise AI. Finally, Chris and Mihai share their real-world workflows—why use one model when you can leverage both? Plus, we discuss the vibe shift: multi-agent workflows aren't coming; they're already here. 00:00 – Introduction 00:14 – Claude Opus 4.6 and GPT-5.3-Codex releases 02:49 – Model comparison 06:00 – Battle for enterprise AI 10:03– Multi-agent workflows The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Read more about the Anthropic vs OpenAI showdown → https://ibm.biz/BdpEkv Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeOpus4.6, #GPT-5.3-Codex #EnterpriseAI, #AIAgents, #DeveloperTools

In this message, No Mixture, Pastor Chris shared about the importance of having a clean heart before the Lord—living with honesty, integrity, and nothing hidden. We were reminded that God searches our hearts, and that when our inner life is pure, everything else begins to flow from the right place.

Have open-source AI agents finally gone mainstream? This week on Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Marina Danilevsky and Aaron Baughman. First, we dive into Moltbot (formerly Clawdbot), the open-source AI agent that's sparked a buying frenzy of Mac minis. What makes this agent different? Next, Anthropic CEO Dario Amodei is back with another essay, this time on AI's “adolescence.” Then, the Grammys are this weekend, we chat about IBM's AI-powered trivia experience, GRAMMY IQ. Aaron takes us through how the team scaled using AI agents, plus how to win tickets to the 2027 Grammys. Finally, Microsoft unveils Maia 200, their latest inference chip claiming 30% cost savings over NVIDIA. What does vertical integration mean for AI chip wars? All that and more on this week's Mixture of Experts. 00:00 – Introduction 01:11 – Moltbot (Clawdbot): Open-source agent revolution 12:59 – Dario Amodei's "Adolescence of Technology" essay 25:51 – IBM Grammy IQ: AI-powered trivia at the Grammys 35:05 – Microsoft Maia 200: The inference chip wars heat up The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Play GRAMMY IQ → https://ibm.biz/BdpdYH

Hey guys, Alex here

Read the Enterprise 2030 study → https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/enterprise-2030 Is Claude Code having its ChatGPT moment? This week on Mixture of Experts, host Tim Hwang is joined by Chris Hay, Gabe Goodhart and Francesco Brenna to unpack the shifts happening in AI as 2026 kicks off. First, OpenAI confirms ads are coming to ChatGPT, raising questions about trust, economics and the future of AI product models. Next, Claude Code is exploding in popularity! Developers are discovering what agentic coding can really do, and it's transforming how software gets built. Then, we analyze a new report from IBM's Institute for Business Value— “The enterprise in 2030”, which reveals how executives are planning to shift from AI-driven efficiency to AI-powered innovation. Finally, Hugging Face launches Open Responses, a new standard for agent APIs that could reshape AI development while raising questions about transparency and control. All that and more on this week's Mixture of Experts to learn more. 00:00 – Introduction 01:30 – OpenAI brings ads to ChatGPT 12:25 – Claude Code's breakout moment 22:57 – IBV's Enterprise 2030 report 36:09 – Open Responses: The future of agent APIs The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Explore IBM Enterprise Advantage Visit Mixture of Experts podcast page to get more AI content

Is your desktop ready for AI agents? In episode 90 of Mixture of Experts, host Tim Hwang is joined by Volkmar Uhlig, Olivia Buzek and Mihai Criveti to break down Anthropic's Claude Cowork launch—bringing the power of Claude Code to everyday job tasks. Would you trust an AI agent to organize your files? Next, Apple announces a partnership with Google to power the next generation of Siri with Gemini models. What does this mean for on-device AI, privacy and the future of edge intelligence? Then, in a surprising turn, Linux creator Linus Torvalds admits to using AI agents for a side project involving vibe coding, despite once mockingly saying that “vibe”stands for “very inefficient but entertaining.” Are coding tools finally good enough for even the old guard? All that and more on today's Mixture of Experts. 00:00 – Introduction 01:17– Claude Cowork 13:25 – Apple-Google AI deal 27:39 – Linus Torvalds on vibe coding The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeCowork #AppleGoogleAI #GeminiSiri #VibeCoding #AIagents

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is NVIDIA unstoppable? In this episode of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Kaoutar El Maghraoui and Martin Keen to unpack the biggest announcements from CES 2026. First up, NVIDIA's Jensen Huang revealed the Rubin platform—a chip architecture promising 5X the performance of Blackwell and slashing inference token costs by 10X. Does this cement NVIDIA's dominance? We also explore the wild world of CES gadgets. Then, we look at whether Meta's USD 2 Billion acquisition of Manus AI signals a major pivot toward enterprise agentic platforms. Later, we dissect DeepSeek's newpaper on manifold-constrained hyperconnections (MHC)—a smarter way to train models that prioritizes efficiency over brute-force scaling. Finally, we analyze new polling data revealing Americans' complex relationship with AI: optimistic about the benefits but deeply concerned about who controls it. All that and more on Mixture of Experts! 00:00 – Introduction 01:27 – CES 2026 12:41 – Meta's USD 2 Billion Manus bet 20:08 – DeepSeek tackles scaling 33:35 – AI optimism vs. fear The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #CES2026 #NVIDIARubin #MetaManusAI #DeepSeekScaling #AIagents

Hey folks, Alex here from Weights & Biases, with your weekly AI update (and a first live show of this year!) For the first time, we had a co-host of the show also be a guest on the show, Ryan Carson (from Amp) went supernova viral this week with an X article (1.5M views) about Ralph Wiggum (yeah, from Simpsons) and he broke down that agentic coding technique at the end of the show. LDJ and Nisten helped cover NVIDIA's incredible announcements during CES with their Vera Rubin upcoming platform (4-5X improvements) and we all got excited about AI medicine with ChatGPT going into Health officially! Plus, a bunch of Open Source news, let's get into this: ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Open Source: The “Small” Models Are WinningWe often talk about the massive frontier models, but this week, Open Source came largely from unexpected places and focused on efficiency, agents, and specific domains.Solar Open 100B: A Data MasterclassUpstage released Solar Open 100B, and it's a beast. It's a 102B parameter Mixture-of-Experts (MoE) model, but thanks to MoE magic, it only uses about 12B active parameters during inference. This means it punches incredibly high but runs fast.What I really appreciated here wasn't just the weights, but the transparency. They released a technical report detailing their “Data Factory” approach. They trained on nearly 20 trillion tokens, with a huge chunk being synthetic. They also used a dynamic curriculum that adjusted the difficulty and the ratio of synthetic data as training progressed. This transparency is what pushes the whole open source community forward.Technically, it hits 88.2 on MMLU and competes with top-tier models, especially in Korean language tasks. You can grab it on Hugging Face.MiroThinker 1.5: The DeepSeek Moment for Agents?We also saw MiroThinker 1.5, a 30B parameter model that is challenging the notion that you need massive scale to be smart. It uses something they call “Interactive Scaling.”Wolfram broke this down for us: this agent forms hypotheses, searches for evidence, and then iteratively revises its answers in a time-sensitive sandbox. It effectively “thinks” before answering. The result? It beats trillion-parameter models on search benchmarks like BrowseComp. It's significantly cheaper to run, too. This feels like the year where smaller models + clever harnesses (harnesses are the software wrapping the model) will outperform raw scale.Liquid AI LFM 2.5: Running on Toasters (Almost)We love Liquid AI and they are great friends of the show. They announced LFM 2.5 at CES with AMD, and these are tiny ~1B parameter models designed to run on-device. We're talking about running capable AI on your laptop, your phone, or edge devices (or the Reachy Mini bot that I showed off during the show! I gotta try and run LFM on him!)Probably the coolest part is the audio model. Usually, talking to an AI involves a pipeline: Speech-to-Text (ASR) -> LLM -> Text-to-Speech (TTS). Liquid's model is end-to-end. It hears audio and speaks audio directly. We watched a demo from Maxime Labonne where the model was doing real-time interaction, interleaving text and audio. It's incredibly fast and efficient. While it might not write a symphony for you, for on-device tasks like summarization or quick interactions, this is the future.NousCoder-14B and Zhipu AI IPOA quick shoutout to our friends at Nous Research who released NousCoder-14B, an open-source competitive programming model that achieved a 7% jump on LiveCodeBench accuracy in just four days of RL training on 48 NVIDIA B200 GPUs. The model was trained on 24,000 verifiable problems, and the lead researcher Joe Li noted it achieved in 4 days what took him 2 years as a teenager competing in programming contests. The full RL stack is open-sourced on GitHub and Nous published a great WandB results page as well! And in historic news, Zhipu AI (Z.ai)—the folks behind the GLM series—became the world's first major LLM company to IPO, raising $558 million on the Hong Kong Stock Exchange. Their GLM-4.7 currently ranks #1 among open-source and domestic models on both Artificial Analysis and LM Arena. Congrats to them!Big Companies & APIsNVIDIA CES: Vera Rubin Changes EverythingLDJ brought the heat on this one covering Jensen's CES keynote that unveiled the Vera Rubin platform, and the numbers are almost hard to believe. We're talking about a complete redesign of six chips: the Rubin GPU delivering 50 petaFLOPS of AI inference (5x Blackwell), the Vera CPU with 88 custom Olympus ARM cores, NVLink 6, ConnectX-9 SuperNIC, BlueField-4 DPU, and Spectrum-6 Ethernet.Let me put this in perspective using LDJ's breakdown: if you look at FP8 performance, the jump from Hopper to Blackwell was about 5x. The jump from Blackwell to Vera Rubin is over 3x again—but here's the kicker—while only adding about 200 watts of power draw. That's insane efficiency improvement.The real-world implications Jensen shared: training a 10 trillion parameter mixture-of-experts model now requires 75% fewer GPUs compared to Blackwell. Inference token costs drop roughly 10x—a 1MW cluster goes from 1 million to 10 million tokens per second at the same power. HBM4 memory delivers 22 TB/s bandwidth with 288GB capacity, exceeding NVIDIA's own 2024 projections by nearly 70%.As Ryan noted, when people say there's an AI bubble, this is why it's hilarious. Jensen keeps saying the need for inference is unbelievable and only going up exponentially. We all see this. I can't get enough inference—I want to spin up 10 Ralphs running concurrently! The NVL72 rack-scale system achieves 3.6 exaFLOPS inference with 20.7TB total HBM, and it's already shipping. Runway 4.5 is already running on the new platform, having ported their model from Hopper to Vera Rubin NVL72 in a single day.NVIDIA also recently acqui-hidred Groq (with a Q) in a ~$20 billion deal, bringing the inference chip expertise from the guy who created Google's TPUs in-house.Nemotron Speech ASR & The Speed of Voice (X, HF, Blog)NVIDIA also dropped Nemotron Speech ASR. This is a 600M parameter model that offers streaming transcription with 24ms latency.We showed a demo from our friend Kwindla Kramer at Daily. He was talking to an AI, and the response was virtually instant. The pipeline is: Nemotron (hearing) -> Llama/Nemotron Nano (thinking) -> Magpie TTS (speaking). The total latency is under 500ms. It feels like magic. Instant voice agents are going to be everywhere this year.XAI Raises $20B While Grok Causes Problems (Again)So here's the thing about covering anything Elon-related: it's impossible to separate signal from noise because there's an army of fans who hype everything and an army of critics who hate everything. But let me try to be objective here.XAI raised another massive Round E of $20 billion! at a $230 billion valuation, with NVIDIA and Cisco as strategic investors. The speed of their infrastructure buildout is genuinely incredible. Grok's voice mode is impressive. I use Grok for research and it's really good, notable for it's unprecedented access to X !But. This raise happened in the middle of a controversy where Grok's image model was being used to “put bikinis” on anyone in reply threads, including—and this is where I draw a hard line—minors. As Nisten pointed out on the show, it's not even hard to implement guardrails. You just put a 2B VL model in front and ask “is there a minor in this picture?” But people tested it, asked Grok not to use the feature, and it did it anyway. And yeah, putting Bikini on Claude is funny, but basic moderation is lacking! The response of “we'll prosecute illegal users” is stupid when there's no moderation built into the product. There's an enormous difference between Photoshop technically being able to do something after hours of work, and a feature that generates edited images in one second as the first comment to a celebrity, then gets amplified by the platform's algorithm to millions of people. One is a tool. The other is a product with amplification mechanics. Products need guardrails. I don't often link to CNN (in fact this is the first time) but they have a great writeup about the whole incident here which apparently includes the quitting of a few trust and safety folks and Elon's pushback on guardrails. CrazyThat said, Grok 5 is in training and XAI continues to ship impressive technology. I just wish they'd put the same engineering effort into safety as they do into capabilities!OpenAI Launches GPT HealthThis one's exciting. OpenAI CEO Fidji Simo announced ChatGPT Health, a privacy-first space for personalized health conversations that can connect to electronic health records, Apple Health, Function Health, Peloton, and MyFitnessPal.Here's why this matters: health already represents about 5% of all ChatGPT messages globally and touches 25% of weekly active users—often outside clinic hours or in underserved areas. People are already using these models for health advice constantly.Nisten, who has worked on AI doctors since the GPT-3 days and even published papers on on-device medical AI, gave us some perspective: the models have been fantastic for health stuff for two years now. The key insight is that medical data seems like a lot, but there are really only about 2,000 prescription drugs and 2,000 diseases (10,000 if you count rare ones). That's nothing for an LLM. The models excel at pattern recognition across this relatively contained dataset.The integration with Function Health is particularly interesting to me. Function does 160+ lab tests, but many doctors won't interpret them because they didn't order them. ChatGPT could help bridge that gap, telling you “hey, this biomarker looks off, you should discuss this with your doctor.” The bad news is, this is just a waitlist and you can add yourself to the waitlist here, we'll keep monitoring the situation and let you know when it opens upDoctronic: AI Prescribing Without Physician OversightSpeaking of healthcare, Doctronic launched a pilot in Utah where AI can autonomously renew prescriptions for chronic conditions without any physician in the loop. The system covers about 190 routine medications (excluding controlled substances) at just $4 per renewal. Trial data showed 99.2% concordance with physician treatment plans, and they've secured pioneering malpractice insurance that treats the AI like a clinician.Nisten made the case that it's ethically wrong to delay this kind of automation when ER wait times keep increasing and doctors are overworked. The open source models are already excellent at medical tasks. Governments should be buying GPUs rather than creating administrative roadblocks. Strong strong agree here! Google Brings Gmail into the Gemini Era (X)Breaking news from the day of our show: Google announced Gmail's biggest AI transformation since its 2004 launch, powered by Gemini 3. This brings AI Overviews that summarize email threads, natural language queries (”Who gave me a plumber quote last year?”), Help Me Write, contextual Suggested Replies matching your writing style, and the upcoming AI Inbox that filters noise to surface VIPs and urgent items.For 3 billion Gmail users, this is huge. I'm very excited to test it—though not live on the show because I don't want you reading my emails.This weeks buzz - covering Weights & Biases updatesNot covered on the show, but a great update on stuff from WandB, Chris Van Pelt (@vanpelt), one of the 3 co-founders released a great project I wanted to tell you about! For coders, this is an app that allows you to run multiple Claude Codes on free Github sandboxes, so you can code (or Ralph) and control everything away from home! GitHub gives personal users 120 free Codespaces hours/month, and Catnip automatically shuts down inactive instances so you can code for quite a while with Catnip! It's fully open source on Github and you can download the app hereInterview: Ryan Carson - What the hell is Ralph Wiggum?Okay, let's talk about the character everyone is seeing on their timeline: Ralph Wiggum. My co-host Ryan Carson went viral this week with an article about this technique, and I had to have him break it down.Ralph isn't a new model; it's a technique for running agents in a loop to perform autonomous coding. The core idea is deceptively simple: Ralph is a bash script that loops an AI coding agent. In a loop, until it a certain condition is met. But why is it blowing up? Normally when you use a coding agent like Cursor, Claude Code, or AMP, you need to be in the loop. You approve changes, look at code, fix things when the agent hits walls or runs out of context. Ralph solves this by letting the agent run autonomously while you sleep.Here's how it works: First, you write a Product Requirements Doc (PRD) by talking to your agent for a few minutes about what you want to build. Then you convert that PRD into a JSON file containing atomic user stories with clear acceptance criteria. Each user story is small enough for the agent to complete in one focused thread.The Ralph script then loops: it picks the first incomplete user story, the agent writes code to implement it, tests against the acceptance criteria, commits the changes, marks the story as complete, writes what it learned to a shared “agents.md” file, and loops to the next story. That compound learning step is crucial—without it, the agent would keep making the same mistakes.What makes this work is the pre-work. As Ryan put it, “no real work is done one-shot.” This is how software engineering has always worked—you break big problems into smaller problems into user stories and solve them incrementally. The innovation is letting AI agents work through that queue autonomously while you sleep! Ryan's excellent (and viral) X article is here! Vision & VideoLTX-2 Goes Fully Open Source (HF, Paper)Lightricks finally open-sourced LTX-2, marking a major milestone as the first fully open audio-video generation model. This isn't just “we released the weights” open—it's complete model weights (13B and 2B variants), distilled versions, controllable LoRAs, a full multimodal trainer, benchmarks, and evaluation scripts. For a video model that is aiming to be the open source SORA, supports audio and lipsyncThe model generates synchronized audio and video in a single DiT-based architecture—motion, dialogue, ambience, and music flow simultaneously. Native 4K at up to 50 FPS with audio up to 10 seconds. And there's also a distilled version (Thanks Pruna AI!) hosted on ReplicateComfyUI provided day-0 native support, and community testing shows an A6000 generating 1280x720 at 120 frames in 50 seconds. This is near Sora-level quality that you can fine-tune on your own data for custom styles and voices in about an hour.What a way to start 2026. From chips that are 5x faster to AI doctors prescribing meds in Utah, the pace is only accelerating. If anyone tells you we're in an AI bubble, just show them what we covered today. Even if the models stopped improving tomorrow, the techniques like “Ralph” prove we have years of work ahead of us just figuring out how to use the intelligence we already have.Thank you for being a ThursdAI subscriber. See you next week!As always, here's the show notes and TL;DR links: * Hosts & Guests* Alex Volkov - AI Evangelist & Weights & Biases (@altryne)* Co-Hosts - @WolframRvnwlf, @nisten, @ldjconfirmed* Special Guest - Ryan Carson (@ryancarson) breaking down the Ralph Wiggum technique.* Open Source LLMs* Solar Open 100B - Upstage's 102B MoE model. Trained on 19.7T tokens with a heavy focus on “data factory” synthetic data and high-performance Korean reasoning (X, HF, Tech Report).* MiroThinker 1.5 - A 30B parameter search agent that uses “Interactive Scaling” to beat trillion-parameter models on search benchmarks like BrowseComp (X, HF, GitHub).* Liquid AI LFM 2.5 - A family of 1B models designed for edge devices. Features a revolutionary end-to-end audio model that skips the ASR-LLM-TTS pipeline (X, HF).* NousCoder-14B - competitive coding model from Nous Research that saw a 7% LiveCodeBench accuracy jump in just 4 days of RL (X, WandB Dashboard).* Zhipu AI IPO - The makers of GLM became the first major LLM firm to go public on the HKEX, raising $558M (Announcement).* Big Co LLMs & APIs* NVIDIA Vera Rubin - Jensen Huang's CES reveal of the next-gen platform. Delivers 5x Blackwell inference performance and 75% fewer GPUs needed for MoE training (Blog).* OpenAI ChatGPT Health - A privacy-first vertical for EHR and fitness data integration (Waitlist).* Google Gmail Era - Gemini 3 integration into Gmail for 3 billion users, featuring AI Overviews and natural language inbox search (Blog).* XAI $20B Raise - Elon's XAI raises Series E at a $230B valuation, even as Grok faces heat over bikini-gate and safety guardrails (CNN Report).* Doctronic - The first US pilot in Utah for autonomous AI prescription renewals without a physician in the loop (Web).* Alexa+ Web - Amazon brings the “Smart Alexa” experience to browser-based chat (Announcement).* Autonomous Coding & Tools* Ralph Wiggum - The agentic loop technique for autonomous coding using small, atomic user stories. Ryan Carson's breakdown of why this is the death of “vibe coding” (Viral X Article).* Catnip by W&B - Chris Van Pelt's open-source iOS app to run Claude Code anywhere via GitHub Codespaces (App Store, GitHub).* Vision & Video* LTX-2 - Lightricks open-sources the first truly open audio-video generation model with synchronized output and full training code (GitHub, Replicate Demo).* Avatar Forcing - KAIST's framework for real-time interactive talking heads with ~500ms latency (Arxiv).* Qwen Edit 2512 - Optimized by PrunaAI to generate high-res realistic images in under 7 seconds (Replicate).* Voice & Audio* Nemotron Speech ASR - NVIDIA's 600M parameter streaming model with sub-100ms stable latency for massive-scale voice agents (HF). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit sub.thursdai.news/subscribe

What defined AI in 2025 and what's coming in 2026? In this special year-end episode of Mixture of Experts, host Tim Hwang sits down with veteran panelists to review the biggest AI moments of 2025 and make bold predictions for the year ahead. Kaoutar El Maghraoui unpacks the AI hardware supply crisis and NVIDIA's chip dominance. Gabe Goodhart defends open source's breakout year with models like Kimi K2 Thinking. Chris Hay argues 2025 delivered on "super agents" through ChatGPT Deep Research and Claude Code. Finally, Aaron Baughman and Abraham Daniels predict the future of multimodal AI—from vision models to autonomous digital workers. Join our experts as they separate AI hype from reality and forecast what 2026 holds. 00:00 – Introduction 00:45 – Chris: Super agents, reasoning models and 2025 reflections 12:26 – Gabe: Open source's breakthrough year and what's next 22:17 – Kaoutar: AI hardware in 2025 and predictions for 2026 29:18 – Aaron & Abe: Multimodal AI and modular model orchestration The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

What's the future of AI code generation? This week on Mixture of Experts, host Tim Hwang is joined by Chris Hay, Olivia Buzek and Gabe Goodhart to debrief the biggest AI use-case of 2025: AI-powered software engineering. Claude Opus 4.5 solved a months-long optimization in under an hour but failed spectacularly at simple tasks. The barbell effect is real. Next, who's the architect—you or the model? We discuss agent orchestration, context windows and why tool performance varies wildly. Then, model differentiation: are OpenAI and Anthropic fundamentally different, or does agent architecture matter more? Finally, can open-source compete with closed ecosystems? We explore vertical integration, inference costs and the future of open models. All that and more on this week's Mixture of Experts. 00:00 – Introduction 01:11 – The barbell problem: AI coding wins and fails 03:46 – Claude Code cracks Apple Metal optimization 07:52 – Who's the architect: You or the AI? 11:44 – Model vs agent orchestration 20:44 – The future of unsupervised AI agents 24:30 – Open source vs proprietary tools 33:22 – The inference cost challenge The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Learn more about AI code generation → https://www.ibm.com/think/topics/ai-code-generation

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Why did Disney pay OpenAI a billion dollars to use their characters? This week on Mixture of Experts, host Tim Hwang and experts Marina Danilevsky, Martin Keen and Kush Varshney analyze Disney's three-year OpenAI licensing deal, and what it means for IP owners, content creators and the future of fan-generated AI content. Next, Time Magazine names “Architects of AI” as 2025 Person of the Year—it's not the first time the person of the year was not a person, but what's different about this? Then, NVIDIA drops Nemotron 3 open-source models; we explore what makes this model release different. Finally, Anthropic's Soul Document leaked. We unpack model alignment, philosophy in AI and the future of prompting vs. fine-tuning. 00:37 – Introduction 02:14 – Disney and OpenAI billion-dollar deal 10:35 – Time Magazine's Person of the Year: Architects of AI 15:39 – NVIDIA Nemotron 3 open-source models 24:10 – Claude's Soul Document and model alignment The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #OpenAI, #DisneyAI, #NVIDIANemotron, #ClaudeAI, #AIModels

Did AI end up being a political force this year?

Ceasefire and Post-War Legacy — James Holland — Holland describes the final ceasefire order received at a German farmyard, evoking the profound mixture of "immense relief and overwhelming grief" experienced by surviving regiment members who had endured years of combat and witnessed countless comrades' deaths. Hollandtraces the post-war lives of veterans including Arthur Reddish and John Semken, documenting their transition from combat to civilian life and the lasting psychological impact of sustained warfare. Holland concludes by noting that the Sherwood Rangers Yeomanry continues to exist in contemporary Britain as an integral component of the Royal Yeomanry, maintaining institutional continuity and commemorating the regiment's extraordinary combat history and sacrifice during World War II.

Nutrients are usually studied in isolation, yet synapses don't operate that way. This episode examines research showing that coordinated nutritional inputs can reshape synaptic proteins and neural firing patterns (effects that isolated inputs fail to produce). The shift isn't about stronger signaling, but more organized signaling within brain circuits.The goal: explain why biological systems respond to combinations rather than singles, how coordinated inputs influence synaptic receptors, protein synthesis, and network synchronization.00:00 Introduction to Neural Circuit Malfunctions00:39 Understanding Neural Communication01:38 Nutrient Interventions in Neural Circuits02:57 Research Findings on Nutrient Mixtures04:37 Mechanisms of the Mixture06:33 Practical Implications and Dietary Recommendations09:01 Conclusion and Final ThoughtsPMID: 41329641PMID: 38498094PMID: 40910091

Should we care about GPT-5.2? This week on Mixture of Experts, we analyze the “code red” release of GPT-5.2 as OpenAI responds to Gemini 3. Are the constant model drops benefitting consumers? Next, Stanford released their Foundation Model Transparency Index, revealing a troubling trend that most labs are becoming less transparent. However, IBM Granite achieved a 95/100 score. Then, our experts discuss what model transparency means for enterprise AI adoption. Finally, we debrief AWS re:Invent's biggest announcements, including Nova frontier models and Nova Forge. Join host Tim Hwang and panelists Kate Soule, Ambhi Ganesan and Mihai Criveti for our expert insights.00:00 – Intro1:02 -- GPT-5.2 emergency release 12:21 -- Stanford AI Transparency Index: Granite scores 95/10027:18 -- AWS re:Invent: Nova models and enterprise AIThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #GPT-5.2 #AITransparency #GraniteModels #AWSNova #AIAgents

-We all expect Fernando Mendoza to win the Heisman, with the exceptional year he's had at Indiana in coming from Cal -The other finalists: Diego Pavia (transfer from NM State); Jeremiyah Love (Notre Dame full time); and Julian Sayin (Ohio State)    Show Sponsored by NEBCOOur Sponsors:* Check out Hims: https://hims.com/EARLYBREAK* Check out Infinite Epigenetics: https://infiniteepigenetics.com/EARLYBREAK* Check out Uncommon Goods: https://uncommongoods.com/EARLYBREAK* Check out Washington Red Raspberries: https://redrazz.orgAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Is open source winning the AI race? This week on Mixture of Experts, we analyze three major model releases that dropped in the final weeks of 2025: Mistral 3, DeepSeek-V3.2 and Claude Opus 4.5. Our experts discuss what makes each model unique—from Mistral's multimodal capabilities to DeepSeek's reasoning-first approach and Claude's developer focus. Are there too many good models? Next, a provocative blog post from Theory Ventures argues Gemini 3 proves scaling laws are throwing more compute at the problem. We debate if scaling laws are a universal truth. Finally, Amazon just blocked ChatGPT's shopping research agent from accessing product data. We discuss the business incentives threatening the agent dream. Join host Tim Hwang and panelists Aaron Baughman, Abraham Daniels and Gabe Goodhart on this week's Mixture of Experts for more! 00:00 – Intro 02:05 -- Model launches: Mistral 3, DeepSeek-V3.2 and Claude Opus 4.5 15:32 -- AI scaling laws & Gemini 3 26:23 --Amazon blocking ChatGPT shopping research agent The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #Mistral3 #DeepSeek #ClaudeOpus #AIscalinglaws #AIagents

Will Black Friday 2025 be the breakout moment for agentic commerce? This week on Mixture of Experts, we're departing from our usual format for a Thanksgiving special focused entirely on AI agents. Host Tim Hwang is joined by Chris Hay, Lauren McHugh Olende and Volkmar Uhlig to debate whether 2025 is truly the "year of agents." Our experts break down why consumer-facing agentic commerce still faces major hurdles. We also explore the massive gap between building agent prototypes and deploying them at scale and discuss why the developer ecosystem needs a "Shopify moment." Then, could language-to-agent interfaces bypass traditional development entirely? From coding agents like Claude Code to cost optimization challenges, this episode covers what needs to happen for agents to move from POC to production. And finally, who's positioned to dominate the space? Plus: Anthropic dropped Claude 4.5 Opus this week. We sit down with Mihai Criveti to discuss initial impressions of the new model. Does this put Anthropic back at the top of the AI game? 00:00 – Introduction 01:12 – Claude 4.5 Opus is here 09:32 – Will Black Friday be big for agentic commerce? 16:11– Agent experience for consumers vs. Enterprise 17:31 – Is 2025 the year of the Agent? 23:02 — AI agents in the developer ecosystem 31:16 — Who will win the agent race? The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Learn more about AI Agents → https://www.ibm.com/think/topics/ai-agents

Daf Yomi Zevachim 74Episode 2154Babble on Talmud with Sruli RappsJoin the chat: https://chat.whatsapp.com/LMbsU3a5f4Y3b61DxFRsqfMERCH: https://www.etsy.com/shop/BabbleOnTalmudSefaria: https://www.sefaria.org.il/Zevachim.74a?lang=heEmail: sruli@babbleontalmud.comInstagram: https://www.instagram.com/babble_on_talmudFacebook: https://www.facebook.com/p/Babble-on-Talmud-100080258961218/#dafyomi #talmud00:00 Intro03:04 Dealing with forbidden mixtures47:25 When a treif animal gets mixed in with korbanos52:25 Conclusion

From the beginning of time, a war has raged over humanity—one that seeks to distort, defile, and ultimately sever our connection to God. The Fallen Sons of God abandoned their divine purpose, descending to earth and corrupting its people through deception and genetic manipulation. Their offspring, the Nephilim, were more than just giants of old; they embodied an agenda to erase the image of God from humanity. Though their physical presence faded, their influence remains—woven into the fabric of our world through mind control and ideological deception. But darkness does not have the final say. In this episode of the Revelations Podcast, host Reagan Kramer welcomes back Dr. Laura Sanger, a researcher, author, speaker, and clinical psychologist with a deep passion for awakening people to the spiritual battle at hand. Together, they dive into the spiritual war between the sons of God and the forces of darkness, tracing its origins from biblical times to its modern-day manifestations. They discuss the erosion of biblical truth, the dangers of gender ideology, transhumanism, and the corrupt systems that seek to enslave future generations. Whether you're new to these concepts or looking to equip yourself for the days ahead, this conversation will challenge and inspire you to step into your identity as a son or daughter of God.Here are three reasons why you should listen to this episode:Learn the hidden truths behind the Nephilim agenda and how it impacts our world todayGain practical insights on how to rise up as a son or daughter of God, equipped with spiritual authority to combat these dark forces.Reflect on the urgency of spiritual maturity and the call to live a victorious life aligned with God's truth in perilous times.Become Part of Our Mission! Support The Revelations Podcast:Your support fuels our mission to share transformative messages of hope and faith. Click here to learn how you can contribute and be part of this growing community!ResourcesMore from the Revelations Podcast hosted by Reagan Kramer: Website | Instagram | Apple Podcast | YoutubeListen to our previous episode with Dr. Laura Sanger, “Fighting the Nephilim Agenda with our Authority in Christ”"The Roots of the Federal Reserve" by Dr. Laura Sanger"Generation Hoodwinked" by Dr. Laura Sanger"From Transgender to Transhuman" — by Martin Rothblatt"Future Humans" — Children's BookLaura Sanger: Website | Instagram | Youtube | RumbleLaura's Telegram: @laurasanger444hzBible VersesEcclesiastes 10:20Mark 41 Corinthians 14:20John 14:10John 7:16-18John 12:49-50 Galatians 4:1,7Romans 8:14Ephesians 5:112 Timothy 4:3-4This Episode is brought to you by Advanced Medicine AlternativesGet back to the active life you love through natural & regenerative musculoskeletal healing: https://www.georgekramermd.com/Episode Highlights[0:50] Introduction and Background of Dr. Laura SangerReagan Kramer welcomes back Dr. Laura Sanger to The Revelations Podcast to shed light on the hidden spiritual war shaping our world today.With a Ph.D. in Clinical Psychology and a Master of Arts in Theology from Fuller Theological Seminary, her work bridges biblical revelation and scholarly research. Her books, The Roots of the Federal Reserve and Generation Hoodwinked uncover deep-seated deceptions designed to enslave humanity.A recent gathering at Blurry Con provided an opportunity to reconnect with like-minded individuals and reaffirm the urgency of exposing these dark forces.[5:28] Dr. Laura's Vision and MissionA dream and vision she had in May 2020 led to the title Generation Hoodwinked, revealing a world where AI and spiritual oppression silence the voices of future generations.In the vision, Jesus led Dr. Sanger into an underground cavern where children were trapped in cages, symbolizing the control systems designed to enslave them.The Nephilim agenda thrives on deception, and exposing it is essential to breaking its power.Ephesians 5:11 and 2 Timothy 4:3-4 serve as guiding scriptures in this mission, urging believers to stand against false doctrines and wake up to the battle at hand.[11:43] The Battle of the Sons of GodLong ago, the Fallen Sons of God abandoned their heavenly domain, descending to corrupt humanity and unleash the Nephilim agenda.Their goal was to defile the human genome and stage an insurrection against God's divine order.Though Jesus secured victory through His death and resurrection, the war still rages in the spiritual realm.The need for God-fearing believers to rise up has never been greater, as deception seeks to strip humanity of its divine identity.Spiritual warfare is not passive—strongholds must be torn down, and the authority of Christ must be wielded with boldness.[15:38] Defining the Sons of GodNot all believers walk in the full authority of the Sons of God.Romans 8:14 states that those led by the Spirit are the true sons, yet many remain trapped in self-reliance rather than surrendering to divine direction.Cultural norms encourage independence, but spiritual maturity requires complete dependence on Jesus.Obedience to the Holy Spirit is the mark of a true Son of God, distinguishing those who move in divine authority from those merely going through the motions of faith.[20:28] Laura: “Sons of God are not their own person. They don't make their own decisions. They are fully surrendered to the Father's will.”The invitation to step into sonship is available to all—but it requires a willingness to follow God without hesitation.[27:13] Mixture and SyncretismThe mixing of truth with deception opens doors to bondage, preventing believers from being led by the soul rather than the Spirit.Operating from the soul—through emotions and human reasoning—rather than the Spirit leads to misguided intentions, no matter how well-meaning.Syncretism, the blending of Christian faith with pagan influences, is rampant in modern culture, from Halloween celebrations to the normalization of ideologies that distort God's design.Spiritual purity demands discernment, and the removal of compromise is essential to living victoriously in Christ.[30:12] Laura: “The Fallen sons of God, they mix their seed with human seed to birth the Nephilim. And so giving room to mixture, what that does is that allows us to take the bait that causes many of us to become hoodwinked”[36:28] The Nephilim Agenda and TransgenderismA systematic effort to erase human identity is at play, progressing from transgender ideology to full-scale transhumanism.Dr. Laura describes how this movement is being fueled by the United Nations and comprehensive sexuality education (CSE).She highlights the harmful effects of CSE on children, including promoting sexual stimulation and normalizing bestiality.The long-term effects of puberty blockers and gender-affirming surgeries on children's development and mental health are not acts of liberation but of enslavement[48:04] The Impact of Media and TechnologyMedia and technology are not just entertainment but tools of indoctrination.Future Humans for example, a bestselling children's book, subtly introduces transhumanist ideals by showcasing technological modifications.Movies, music, and television shows create fantasies that reinforce the allure of enhanced abilities, steering the next generation toward a post-human reality.The Nephilim agenda thrives on deception; its end goal is to wipe out humanity and cut at the heart of the Kingdom of God.[50:50] Laura: “The Nephilim agenda is really about defiling the human genome so much that we can't have relationship with Jesus anymore”[52:48] The Role of the Sons of God in Spiritual WarfareThe Sons of God are warriors, called to push back the forces of darkness with unwavering faith.The Hebrew phrase Rak Chazak Amats embodies the strength and courage required to stand in battle.Dr. Laura highlights the importance of the Sons of God in arising and maturing to become heirs of God and walking in their inheritance.As deception intensifies, Dr Laura encourages listeners to find Jesus in the secret place to develop an intimate relationship and learn His voice.[1:05:54] Practical Steps to Become a Son or Daughter of GodVictory begins in the secret place, where intimacy with Jesus is cultivated.Dr Laura emphasizes the importance of distinguishing between the true Holy Spirit and false voices in the church and media.Recognizing this requires deep connection with the True Shepherd, and daily communion with Him to ensure that fear and deception lose their grip.As the episode closes, Dr. Laura prays for listeners, asking for protection, boldness, and the empowerment to walk as Sons of God in a world desperately in need of truth.About Laura SangerDr. Laura Sanger is a researcher, author, speaker, and clinical psychologist dedicated to equipping believers with the knowledge and spiritual tools needed to navigate the unseen battle against darkness. As the founder of No Longer Enslaved, her mission is to awaken people to the pervasive influence of the Nephilim agenda and empower them to walk in their God-given authority.With a Ph.D. in Clinical Psychology and a Master of Arts in Theology from Fuller Theological Seminary, Dr. Laura Sanger combines scholarly research with biblical revelation to expose the hidden forces shaping our world. As the author of books such as Generation Hoodwinked: The Impact of the Nephilim Agenda Today, she unravels the deep-seated deception embedded in financial systems, transhumanism, and ideological warfare. Dr. Sanger has shared her insights on platforms across the globe, equipping believers to discern false narratives, break free from spiritual bondage, and step into their true identity in Christ. Her teachings emphasize the importance of spiritual maturity, exposing darkness, and wielding the weapons of our warfare with boldness.Connect with Dr. Laura Sanger and learn more about her conferences and resources at No Longer Enslaved.Enjoyed this Episode?If you did, subscribe and share it with your friends!Post a review and share it! If you found our deep dive into the spiritual influences on mental health insightful, we'd love to hear your thoughts. Leave a review and share this episode with friends and family. Step into your God-given authority and awaken as a Son of God. Expose deception, break free from spiritual bondage, and walk boldly in the truth of Christ.Have any questions? You can connect with me on Instagram. 

We covered several topics, there were either seen on social media, emailed in, or new experiences with S&DC.

We dive into the latest paper from Google and a team of academic researchers: "TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture."Hear from one of the paper's authors — Yongchao Chen, Research Scientist — walks through the research and its implications. The paper proposes Tool-Use Mixture (TUMIX), an ensemble framework that runs multiple agents in parallel, each employing distinct tool-use strategies and answer paths. Agents in TUMIX iteratively share and refine responses based on the question and previous answers. In experiments, TUMIX achieves significant gains over state-of-the-art tool-augmented and test-time scaling methods.Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

Does Gemini 3 live up to the hype? This week on Mixture of Experts, we analyze the release of Google's Gemini 3 model. Next, OpenAI released a new benchmark about the impact of AI on the economy, GDPval. We debate AI automation and the job market. Then, we always talk AI agents, today we discuss some great innovations coming out of IBM Research and more. Finally, Anthropic disrupted an AI-led cyberattack, what does this mean for AI agents and malicious actions? Join host Tim Hwang and our AI experts Marina Danilevsky, Merve Unuvar and Gabe Goodhart on this week's Mixture of Experts to learn more. 00:00 – Introduction 01:09 – Microsoft's AI infrastructure deal, IBM and UFC AI platform and ChatGPT for Teachers 02:00 – Gemini 3 12:50 – AI agent innovation 24:00 – OpenAI GPDval 37:17 – Anthropic cyberattack The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Discover CUGA → https://research.ibm.com/blog/cuga-agent-framework Boost your agent toolkit → https://research.ibm.com/blog/altk-agent-toolkit Listen to cybersecurity expert takes on Anthropic's cyberattacks → https://www.ibm.com/think/podcasts/security-intelligence/anthropic-stops-ai-spies-owasp-top-10-rise-small-time-ransomware

Which model is better, GPT-5.1 or Kimi K2 Thinking? This week on Mixture of Experts, we have two new AI model releases: OpenAI's GPT-5.1 and Moonshot AI's new open-source reasoning model, Kimi K2 Thinking. We discuss user experience and personalization with AI tools and how open-source AI is changing the AI race. Finally, is Microsoft launching full “agentic users” for enterprise? Our experts discuss AI in enterprise—the risks and considerations for both technology and humans. Join host Tim Hwang and panelists Kaoutar El Maghraoui, Aaron Baughman and Mihai Criveti on this week's Mixture of Experts, to learn more. 00:00 – Introduction 1:12 – Anthropic's data center investment, Tesla's AI chips, Baidu's new chips and AI cat robots 1:59 – GPT-5.1 12:00 – Kimi K2 Thinking 21:35 – Microsoft agent users The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

Would you trust a humanoid robot to unload your dishwasher? This week on Mixture of Experts, we revisit 1X NEO, a new humanoid robot, as it finally enters the home, seeking to automate tasks. How far are we from this reality? Next, Japan's copyright dispute with Sora 2, we discuss how AI training, synthetic data and IP are all impacting AI models. Finally, are there too many AI alliances? Our experts analyze the OpenAI and AWS partnership and what it means for AI infrastructure and multi-cloud strategies. Join host Tim Hwang and panelists Ambhi Ganesan, Ash Minhas and Sandi Besen on this week's Mixture of Experts. 00:00 – Intro 01:10 – Perplexity integrates with Snapchat, Coinbase AI agents, Instacart AI assistants and Google AI chips go to space 02:16 – 1X NEO humanoid robot 15:23 – Sora 2 copyright 26:49 – OpenAI and AWS partnership The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120

Original message from Wednesday, 11/05/25. We hope that this message encourages you and builds you up in your walk with God.  Please visit www.newdestinychristiancenter.com for more information on our ministry

What Is The Status Of a Mixture?

It's spooky week in AI! This week on our Halloween -edition of Mixture of Experts, we chat about Anthropic's new billion-dollar TPU deal with Google Cloud. Plus, NVIDIA announces bringing data centers to outer space. Two different approaches to the future of AI compute that our experts discuss. Then, OpenAI released how they're strengthening ChatGPT's responses to sensitive conversations. We talk AI governance and AI safety. Finally, we discuss the new paper, Underwriting Superintelligence; would you insure your AGI? Join host Tim Hwang and panelists Chris Hay, Gabe GoodHart and Kate Soule on this week's Mixture of Experts. 00:00 – Intro 01:05 – OpenAI goes for profit, NVIDIA's worth USD 5 Trn, and Amazon smart glasses 02:16 – Anthropic TPU announcement 12:49 – Underwriting Superintelligence 27:54 – ChatGPT sensitive conversations 42:14 – NVIDIA Starcloud The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #Anthropic #AIchip #NVIDIA #AIinfrastructure #AGI

OpenAI is back and coming for search. This week on Mixture of Experts, we debrief ChatGPT Atlas, OpenAI's new web browser and the impacts on search. Then, Andrej Karpathy is back with his pessimistic timeline to AGI. Later, we discuss DeepSeek-OCR. Finally, can your AI have brain rot? Join host Tim Hwang and panelists Aaron Baughman, Abraham Daniels and Martin Keen on this week's Mixture of Experts to find out. 00:00 – Intro 00:55 – Goldman AI, Groq and IBM, Military AI and Uber 02:05 – ChatGPT Atlas 14:23 – Karpathy's AGI timeline 23:52 – DeepSeek-OCR 34:30 – AI brain rot The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Visit the Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts?utm=podcastsMoEYT What if Nvidia's biggest advantage isn't so big anymore? This week on Mixture of Experts, we break down the CAISI report on DeepSeek's model risks, Reflection AI's massive USD 2B fundraise for an open frontier lab, Oracle Cloud's big bet on AMD chips over Nvidia and the wild story of a VC fund replacing analysts with AI agents. 00:00 – Intro 01:14 – Bad bot, Oracle + IBM, Dreamforce, 18+ ChatGPT 02:19 – Oralce bets on AMD chips 18:34 – CAISI DeepSeek report 29:57 – Reflection AI raises USD 2B 41:18 – VC fund replacing analysts with AI agents The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120

The major AI players are not slowing down. In episode 76 of Mixture of Experts, host Tim Hwang is joined by Olivia Buzek, Chris Hay and Mihai Criveti. First, we analyze OpenAI's release of their new AgentKit. Then, IBM announced a partnership with Anthropic to accelerate enterprise-ready AI—we talk AI governance and the future of industry partnerships. Then, Chris Hay gives us his explanation of modular manifolds. Finally, we discuss the potential of AI becoming healthcare experts amid Deena Mousa's The Algorithm Will See You Now. Will AI replace radiologists? Tune in to Mixture of Experts to find out. 00:00 – Intro 01:09 – OpenAI and AMD, IBM's Project Bob, chip diamonds and Peloton's AI Trainers 02:20 – AgentKit 13:29 – IBM & Anthropic partnership 22:49 – Modular manifolds 31:52 – AI in radiology The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Read the whitepaper about how IBM and Anthropic are securing enterprise AI architectures → https://ibm.biz/Bdb4xR Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Visit the Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

This episode is the intro to a special project by The AI Fundamentalists' hosts and friends. We hope you're ready for a metaphysics mini‑series to explore what thinking and reasoning really mean and how those definitions should shape AI research. Join us for thought-provoking discussions as we tackle basic questions: What is metaphysics and its relevance to AI? What constitutes reality? What defines thinking? How do we understand time? And perhaps most importantly, should AI systems attempt to "think," or are we approaching the entire concept incorrectly? Show notes:• Why metaphysics matters for AI foundations• Definitions of thinking from peers and what they imply• Mixture‑of‑experts, ranking, and the illusion of reasoning• Turing test limits versus deliberation and causality• Towers of Hanoi, agentic workflows, and brittle stepwise reasoning• Math, context, and multi‑component system failures• Proposed plan for the series and areas to explore• Invitation for resources, critiques, and future guestsWe hope you enjoy this philosophical journey to examine the intersection of ancient philosophical questions and cutting-edge technology.What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

What's new in AI models? In episode 75 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Kate Soule and Kush Varshney to debrief a frenzy of model drops this week. IBM debuts Granite 4.0 hyper-efficient hybrid models, Claude Sonnet 4.5 delivers longer run times and sharper reasoning and Sora 2 takes vibe coding to the next level with vibe video production. Then, we dig into OpenAI's new feature, Buy in ChatGPT. Finally, it's Cybersecurity Awareness Month, and we are joined by special guest, Matt Kosinski, host of the Security Intelligence podcast—can you trust your AI? Tune in to Mixture of Experts to find out. 00:00 – Intro 1:17 – Meta Ads assistant, DoorDash Dot, Microsoft vibe working and Tilly AI Actor 2:23 – Granite 4.0 10:21 – Claude 4.5 17:57 – Sora 2 29:15 – Buy in ChatGPT 37: 00 – Introducing Security Intelligence The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligence Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Watch the latest episode of the Security Intelligence podcast → https://www.youtube.com/watch?v=mDpUZD1ogEE&list=PLOspHqNVtKABGIbaWP1xYQHbwuXjZwqpH&index=1&t=225s

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use.In this episode, Elena and Rob explore how the Mixture of Experts model uses AI to uncover four distinct consumer segments that traditional econometric models miss entirely. They reveal why assuming all consumers behave the same way leads to missed opportunities and how dynamic segmentation can transform marketing strategy.Topics covered:   [01:00] "How Do Consumers Really Choose? Exposing Hidden Preferences With the Mixture of Experts Model"[03:00] Four hidden consumer segments uncovered by AI[05:00] Why traditional models oversimplify consumer behavior[06:00] The power of discount thresholds in promotion-driven buying[07:00] How AI creates flexible, realistic customer pictures[08:00] Why consumers are more like a zoo than a herd of cows  To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.  Resources: Vallarino, D. (2025). How Do Consumers Really Choose? Exposing Hidden Preferences with the Mixture of Experts Model. arXiv preprint arXiv:2503.05800.   Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts. 

Come to a Dehoarding Accountability Zoom Session: http://www.overcomecompulsivehoarding.co.uk/ticket Subscribe to the podcast: https://www.overcomecompulsivehoarding.co.uk/subscribe Podcast show notes, links and transcript: http://www.overcomecompulsivehoarding.co.uk/  Hoarding is far more complicated than just clutter - there are layers upon layers, from the visible stacks of possessions to the hidden emotional weight, old identities, and tangled feelings of shame and secrecy. In this episode, I talk through what these layers actually look like, why they make healing and recovery so tough, and how recognising them can help us start to move forward. It's about giving an honest look at how hoarding really is, and offering a bit of encouragement and understanding for anyone living with it. Layers in Hoarding Disorder Explanation of the concept of "layers" Recognition of complexity in hoarding and recovery Importance of understanding layers for self-awareness and change Physical Layers of Stuff Sorting belongings as an “archaeological dig” Stories and histories attached to different layers of possessions Practical observations about layers: Top layer: Most recent or most-used items Middle layers: Mixture of older and neglected items, representing different life periods Bottom layers: Emotionally complex, broken, or “buried” items How physical layers inform decluttering decisions Emotional Layers in Hoarding Surface emotions: annoyance, sadness, irritability Deeper emotions: anxiety, fear of making wrong choices Core emotions: grief, trauma, feelings of unworthiness or inadequacy Guilt, anger, disappointment, and how these mix together The idea of layering additional distress (as per Carolyn Spring) Differentiating unavoidable pain from added self-blame Focusing on agency in managing additional emotional layers Cascading Layers: When Problems Create More Problems Examples of problems compounding: Physical issues (like leaks) made worse due to hoarding Social isolation leading to more depression and worsened hoarding Administrative issues (unpaid bills leading to fines) Cycle of increasing overwhelm and powerlessness Compassion for oneself in recognising these cycles Layers of Identity Complexity of personal identity in relation to hoarding Public vs. private identities Former, current, and future self-identities The impact of possessions on perceived identity (e.g., holding onto teaching materials) The difference between authentic identity and identity tied to objects Layers of Time Holding onto items as connections to the past Present consequences of hoarding: overwhelm, panic, paralysis Future-oriented worries: fear of needing items later Spaces/items “frozen in time,” keeping people anchored to the past Reflection on who we want to be now and in the future Layers of Shame and Secrecy Shame and secrecy as invisible yet heavy “layers” How secrecy takes energy and perpetuates shame Impact of secrecy on relationships and daily interactions Barriers to seeking help caused by shame and secrecy The process of being more open about hoarding Navigating and Addressing the Layers Emphasis on not needing to resolve all layers at once The process of recognising and being patient with layers Importance of support systems and therapy Identifying helpful (protective or wise) layers versus harmful ones Themes of self-compassion and validation for the complexity of the experience Rejecting simplistic advice to “just get rid of stuff” The process is about understanding and self-acceptance Encouragement to approach oneself with patience and compassion Closing remarks and reminders about podcast resources and support options Links Carolyn Spring Come to a Dehoarding Accountability Zoom session: Accountability Booking Form Website: Overcome Compulsive Hoarding Become a Dehoarding Darling Submit a topic for the podcast to cover Questions to ask when dehoarding: https://www.overcomecompulsivehoarding.co.uk/podquestions Instagram: @thathoarderpodcast Twitter: @ThatHoarder Mastodon: @ThatHoarder@mastodon.online TikTok: @thathoarderpodcast Facebook: Overcome Compulsive Hoarding with That Hoarder Pinterest: That Hoarder YouTube: Overcome Compulsive Hoarding with That Hoarder Reddit: Overcome Compulsive Hoarding with That Hoarder subreddit Help out: Support this project Sponsor the podcast Subscribe to the podcast Subscribe to the podcast here

Why did NVIDIA invest USD100bn into OpenAI? In episode 74 of Mixture of Experts, host Tim Hwang is joined by Sandi Besen, Mihai Criveti and Gabe Goodhart to talk about the AI chipmaker's next big move. Next, we analyze Tongyi DeepResearch and get into a conversation around open source. Then, Google released a new agent protocol, AP2. After that, will AI take over? We debrief a new book, If Anyone Builds It, Everyone Dies. Finally, Apple shared that the new AirPods will have a translation feature powered by AI. Is Apple back in the game? Tune in to Mixture of Experts to find out. 00:00 – Intro 01:17 – OpenAI's data centers, Alibaba and NVIDIA partnership, IBM Granite Docling and Meta's dating AI assistant02:23 – Tongyi DeepResearch 13:12 – Google's AP2 23:31 – "If Anyone Builds It, Everyone Dies" 33:50 – AirPods translation feature 43:49 – NVIDIA invests USD100bn in OpenAI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligence Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

A day one listener of Shirt Show, Chris Fahrbach got bit by the print bug back in high school, but came into his own through the world of skateboarding and snowboarding. Now looking back on 22 years of business, it's clear that Mixture really hit it's stride by following tried and true business practices. Topics of discussion include: Door to door sales, building longterm relationships vs sales funnels, choosing the right shirt for the right job, getting bitter with age, seasonal depression in business, volunteering, satellite locations, bringing buttons back, efficiencies, and a brand new shop hack.

Through history, there have been many false religion and counter narratives created by the enemy to water down peoples convictions, cast doubt on who Jesus is, and create mixture in God's people. But the gospel remains: Jesus became a man, lived, died and was raised from the dead for us. He stands alone as the Son of God. His life, death, and resurrection change everything for the believer.This is what our faith and out very lives stand upon.

We explore the phenomenon of Spanglish and why it's more than just mixing two languages. From everyday words like postear and textear to full-on code-switching, we share examples that highlight how Spanglish works in real conversations. You'll hear about its cultural impact in places like Puerto Rico and Mexico, how music and social media are spreading it worldwide, and why younger generations use it more than older ones.Key Takeaways:What Spanglish is and why it happens.Real-life examples of Spanglish in daily speech, music, and media.How learners can recognize Spanglish while keeping languages separate in formal settings.Relevant Links And Additional Resources:281 – ¿Cómo, Cuándo y Qué Se Come en México? | How, When, and What People Eat in Mexico?199 – Rutinas de Ejercicio | Exercise Routines016 – Alternancia de Código | Code SwitchingLevel up your Spanish with our Podcast MembershipGet the full transcript of each episode so you don't miss a wordListen to an extended breakdown section in English going over the most important words and phrasesTest your comprehension with a multiple choice quizSupport the show

This is the exclusive audio breakdown section for episode 283 – Spanglish: Identidad, Mezcla y Aprendizaje | Spanglish: Identity, Mixture and Learning.Get access to the full interactive transcript, quizzes, and more for this and every episode by joining our community, La Escala, at spanishandgo.com/community.

In this episode, we discuss progress that we're seeing on private lands management.    Resources:  Fundraising Banquet (to enter into the online raffles, click on ‘Get Tickets' and then scroll down to the ‘Add-ons') Has turkey habitat changed? | #21 Turner, M. A., et al. (2021). Mixture of triclopyr and imazapyr more effective than triclopyr alone for hardwood forest stand improvement. Forest Science, 67(1), 43-48. Which plants for brooding cover? | #142    We've launched a comprehensive online wild turkey course featuring experts across multiple institutions that specialize in habitat management and population management for wild turkeys. Enroll Now!    Dr. Marcus Lashley @DrDisturbance, Publications Dr. Will Gulsby @dr_will_gulsby, Publications Turkeys for Tomorrow @turkeysfortomorrow  UF Game Lab @ufgamelab, YouTube   Donate to wild turkey research: UF Turkey Donation Fund , Auburn Turkey Donation Fund  Want to help wild turkey conservation? Please take our quick survey to take part in our research! Do you have a topic you'd like us to cover? Leave us a review or send us an email at wildturkeyscience@gmail.com! Want to help support the podcast? Our friends at Grounded Brand have an option to donate directly to Wild Turkey Science at checkout. Thank you in advance for your support! Please help us by taking our (QUICK) listener survey - Thank you!  Check out the NEW DrDisturbance YouTube channel! DrDisturbance YouTube Watch these podcasts on YouTube Leave a podcast rating for a chance to win free gear! Get a 10% discount  at Grounded Brand by using the code ‘TurkeyScience' at checkout! This podcast is made possible by Turkeys for Tomorrow, a grassroots organization dedicated to the wild turkey. To learn more about TFT, go to turkeysfortomorrow.org.    Music by Artlist.io Produced & edited by Charlotte Nowak