Podcasts about ai training

Welcome to ROADSIDE presented by Zwift! This episode features a 45 minute interview with Shane Miller or GP Lama, the guru of Cycling Tech. Jet and Shane sat down at the Magene Expo area at Tour Down Under to discuss: - Shane's background in tech and how he developed and grew his Cycling Youtube channel - State of bike tech in 2026 - Power meters, once a luxury, now a staple - Radars, must have features, testing protocol and why they work - Tech at the Tour Down Under, what Shane's noticed - Audience Q&A Thanks to Shane for his time and Magene for organising the Interview. - Zwift Mailbag: Send in your questions, hypotheticals, takes and everything in between to jet@roadsidepod.com and we will read the best ones out in the next episode! - - Roadside's Summer of Cycling is brought to you by SOCIETY CYCLING! Society produce quality cycling apparel made for your everyday rider and keen club racers. Society are committed to making every piece better than the last in their tireless pursuit of perfection. Head to https://www.societycycling.com and use code ROADSIDE15 for 15% off all full priced products. The Roadside Cycling Show is presented by Zwift Need a trainer? Try the all-new Zwift Ride - zwiftinc.sjv.io/55gL11 Head to https://www.zwift.com/ to start your free 14-day trial today. T he Roadside Cycling Show is also supported by FE Sports, the home of premier cycling brands and products such as Wahoo, Pirelli, 100%, Campagnolo and more. Check out their range now - https://www.fesports.com.au/Shop/c_230/Products

The Small Business Administration had a busy past few weeks in the news and for their communications department. An article reported on the agency's reported record growth in 2025, including nearly $100 billion through the 7(a) and 504 loan programs. U.S. manufacturing gained millions in support from the Working Capital Pilot program. A bill in the U.S. Senate aims at providing free AI training and guidance nationwide, and the agency is implementing a program to provide a workaround for permit delays during federal disaster declarations. Listen to the podcast. Additional Resources Meet Paychex: https://bit.ly/3VtM6bs Funding sources: https://bit.ly/funding-for-businesses DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send a textTackling the messy reality of data fueling artificial intelligence, Andrea Muttoni—President & CPO at Story—joins the show to unpack how Story is building an AI-native infrastructure for intellectual property and training data. We dig into making the $80T IP asset class programmable, traceable, and monetizable, and how Story aims to turn “mysterious training data blobs” into transparent rights and payments for creators and enterprises.01:10 Meet Andrea Muttoni 06:49 Story's Core Mission 13:41 IP Monetization 21:08 Biggest Competitor 22:49 Compute, Models, & Data 27:46 What to IP, Where Not 31:16 Blockchain 34:54 Protecting Your IP 41:36 Reaching StoryAndrea explains how Story is building a blockchain-based IP and data layer so AI systems can train on licensed content while proving usage, enforcing licenses, and automating payments to rights holders. We talk about the practical challenges of cleaning and labeling real-world data, what “IP-safe” datasets look like in practice, and how developers and companies can plug into Story's infrastructure. Andrea also shares where blockchain actually adds value (and where it doesn't), why he thinks “AI can't scale on legal ambiguity,” and concrete steps creators and founders can take today to protect and monetize their IP in the AI era.LinkedIn: linkedin.com/in/muttoni Website: https://www.story.foundation/#AITrainingData, #IntellectualProperty, #IPEconomy, #StoryProtocol, #DataInfrastructure, #AIGovernance, #AILaw, #Web3, #Blockchain, #CreatorEconomy, #DataOwnership, #RightsManagement, #Licensing, #TechPodcast, #Developers, #MachineLearning, #AIEthics, #DataMonetizationWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

How did prompt engineering die so quickly? ☠️And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and ScalabilityTimestamps:00:00 "Access AI Community & Tools"03:08 "Mastering Context in AI"07:23 "Smart Models Require Less Precision"12:01 "Context Engineering Beats Prompt Engineering"15:49 "AI Context: Six Key Blocks"16:47 "Building Context for Better Results"19:53 "AI: Training, Not Easy Button"25:17 "Chain of Thought Prompting Decline"29:11 "Show, Don't Tell Techniques"32:13 "Context, Reuse, and Scalable Systems"33:19 "AI Chatbots: Memory and Skills"Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don't tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Drop us a message!In this episode, we're joined by Emma Gordon, Director at Bydand Strategic Communications, to explore how ambitious brands turn big ideas into clear, actionable communication strategies.Emma shares how strong internal communications help teams stay aligned during growth and change, and what bringing colleagues along the journey unlocks for trust, culture, and reputation.We also discuss how leaders are rethinking AI training, where it fits into day-to-day work, and how advisors decide where to focus first across growth marketing, reputation management, and strategy.In the news segment, Phil Treagus-Evans, CEO at Giraffe Social, breaks down the rise of personal branding. Learn how marketers can support founders and employees to build credibility on platforms like LinkedIn and TikTok, without losing individuality or brand alignment.Want to be featured on the pod? Drop us a voice note on Instagram at @GiraffeSM. About Giraffe Social's Social in 10 Podcast Giraffe Social is a multi-disciplined digital marketing agency specialising in social media marketing based on the South Coast of the United Kingdom. We work with a wide range of industries, spanning from Fintech and L&D, to Beauty and Retail. Social in 10 is a weekly podcast about all things digital marketing. We discuss all the things social media managers want to know, including the latest platform updates, emerging trends, campaign ideas, and best practices to help you stay ahead of the curve. Whether you're managing multiple clients or growing your brand in-house, each episode is packed with actionable insights… all delivered in under ten minutes. Hosted by the Giraffe Social team, this is your fast, fun, no-fluff guide to making sense of social. New episodes every week, so tune in and level up your marketing game!

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AI is transforming the legal landscape, from lawsuits concerning training data to new regulations on model deployment. In this episode of Let's Brief It, host Pauline Wanjiru Irungu, an LL.M. student at American University Washington College of Law specializing in intellectual property and technology law, discusses these developments with two experts from Finnegan: Anna Chauvet, partner and head of Finnegan's copyright practice, who works on front line questions about AI training data, fair use, and authorship, and Lynn Parker Dupree, leader of Finnegan's privacy practice and former Chief Privacy Officer at the U.S. Department of Homeland Security, who brings a governance and data protection lens to AI.Together, they examine the legal landscape of AI training data, evolving copyright and privacy rules, and essential questions regarding consent and accountability. This episode offers a practical guide for law students and early-career attorneys navigating the intersection of AI and law.Please note, the positions and opinions expressed by the speakers are strictly their own, and do not necessarily represent the views of their employers, nor those of the D.C. Bar, its Board of Governors or co-sponsoring Communities and organizations.Want to get ahead of the pack? Joining the D.C. Bar Law Student Community (LSC) can get you there. Your LSC membership will provide resume and skills boosting opportunities and one-on-one access to local practicing attorneys. To learn more, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠click here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

We cornered the market on mozzarella sticks before this awesome episode! The main topic involved our recommendations for electrolyte use in races and hard training. Sweat replacement is one of the strangest, least understood parts of athletic physiology. We give our guidelines from lots of real-world experimentation. And this one was full of incredible topics! Other topics: the happiest place on Earth, Megan's first video filming and the year of vulnerability, David's return to run, a new probiotic study showing the weird connection between the gut and brain, Kristian Blummenfelt measuring with the highest VO2 max ever (or did he?), Airpod 3 heart rate, gambling in running, Truett Hanes' OTQ chase, our updated thoughts on applying AI in training, a Nomio follow-up, the perils of setting Z2 in the wrong place, changing directions on the track, elliptical v. bike training, bike cadence, a deep question on parenting, and lots more!Whenever you're in doubt about our place in the Universe, look up at the night sky, take a deep breath, and give the universal signal: SUCK IT. That will make a bit more sense soon (maybe). We love you all! HUZZAH!-David and MeganClick "Claim Your Sponsorship" for 40% off at The Feed here: thefeed.com/swapBuy Janji's amazing gear: https://janji.com (code "SWAP")The Wahoo KICKR Run is the best treadmill on the market: https://www.wahoofitness.com/devices/running/treadmills/kickr-run-buy (code “SWAP”)For training plans, weekly bonus podcasts, articles, and videos: patreon.com/swap

-The National Center for Missing and Exploited Children said it received more than 1 million reports of AI-related child sexual abuse material (CSAM) last year. -A few major publications have begun blocking the nonprofit Internet Archives access to their content based on concerns that AI companies' bots are using the Internet Archive's collections to indirectly scrape their articles. -The Chinese government has given DeepSeek its approval to purchase NVIDIA's H200 AI chips. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Fireside Project is a nonprofit that helps reduce the risks of psychedelic experiences through a free support line, coaching, education, and research. In this episode, Joshua White speaks with Psychedelics Today about why real-time support matters, what it takes to run a national hotline, and what Fireside learned after more than 30,000 conversations since launch. White shares how his background as a lawyer and his early hotline volunteering shaped Fireside's model. He also describes how festival harm reduction work, including lessons from Zendo-style support spaces, revealed a major gap: people often need help during an experience and after it ends. A major focus of the conversation is Lucy, Fireside's new voice-to-voice role-play simulator designed to improve psychedelic support skills through low-stakes practice. Early Themes With Fireside Project Joshua White introduces Fireside Project as an accessible safety net for people who are actively having psychedelic experiences or processing past ones. The support line launched on April 14, 2021, and relies on trained community volunteers who commit to a year of service. White explains why anonymity matters. He argues that a phone-based container can make it easier for callers to share vulnerable material without fear of judgment. He also frames service as a key part of integration for volunteers who want to give back or prepare for work in the psychedelic field. Core Insights From Fireside Project White describes the early difficulty of building Fireside from scratch, including legal design, insurance hurdles, training development, and fundraising. He credits seed support from David Bronner and Dr. Bronner's for helping Fireside prove that people would actually use a psychedelic support line. He also explains a key harm reduction point: calling emergency services during a non-medical psychedelic crisis can escalate risk. Fireside aims to help people regulate, re-orient, and stay safer when panic or fear shows up. Key concepts discussed include: The thin line between healing and traumatizing during high-intensity psychedelic states Why callers often need connection, not rescue How volunteer capacity and call volume shape how long conversations run The difference between support during an experience and longer-term coaching support Later Discussion and Takeaways With Fireside Project The conversation then turns to Lucy, a training tool White describes as a "flight simulator" for psychedelic practitioners. Lucy is not part of the live support line. Instead, it offers emotionally responsive role-play scenarios so trainees can practice staying grounded, tracking consent and boundaries, and responding to crisis cues. White also addresses recording and consent. He argues Fireside needs strong training feedback loops to improve safety and quality. He describes an anonymization approach designed to remove phone numbers, strip identifying details, and distort voices while preserving emotional tone. He also explains the post-call option for callers to delete their recorded conversation. Practical takeaways include: Simulation can help trainees stay regulated when intense material emerges Better training can reduce unnecessary diversion to emergency rooms Clear consent language and easy deletion workflows matter for trust Coaching can expand the continuum of psychedelic support beyond therapy  

The marketing teams winning with AI today are not the ones chasing every new model release. They are the ones who found the boring, repetitive tasks their teams hate and automated those first.Nir Pochter, Co-Founder and CMO at Lightricks, joins Stephanie Postles on Marketing Trends to break down what AI actually means for creative workflows and why most teams are still using it wrong.You'll learn:- The "algebra problem" of AI adoption- How to save your design team 80% of their time- Why the gap between marketers who use AI well and those who don't is widening fast.- How to use an LLM scoring system to pre-review documents for you- The dangerous trend of "AI Marketer" job titles- What's really in store for the future of video+AI Key Moments:00:00 — Why AI Hasn't Improved Creative Output Yet02:06 — The Algebra Problem: Tools vs. Knowing How to Use Them07:27 — Nir's Background: AI PhD to Lightricks and FaceTune09:46 — What Used to Take Weeks Now Takes Minutes13:35 — Why Automating Everything Failed Miserably16:38 — Start with What People Hate Doing20:08 — The LLM Scoring System: Nothing Gets Reviewed Without an 8521:43 — Train Your LLM to Be Mean, Not Nice23:32 — Building Custom GPTs with Company Guidelines26:30 — The Pitfall: Using AI to Please Leadership28:47 — From Toys to Tools: Why Text-to-Video Isn't Enough31:05 — Coca-Cola's 70,000 Prompts (Was It Worth It?)34:41 — AI Won't Replace Creatives, But This Will37:04 — The Two Critical Skills: Prompting and Curation37:55 — How AI Multiplies the Skills Gap (7 vs 10 Example)42:47 — What CMOs Should Be Asking Their Teams46:20 — Why "AI Marketer" Is LinkedIn Fluff This episode is brought to you by Lightricks. LTX is the all-in-one creative suite for AI-driven video production; built by Lightricks to take you from idea to final 4K render in one streamlined workspace.Powered by LTX-2, our next-generation creative engine, LTX lets you move faster, collaborate seamlessly, and deliver studio-quality results without compromise. Try it today at ltx.studio Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of the Woodard Report podcast, Joe and Heather speak about major January updates in the accounting space, including the IRS's Free File program and why Joe prefers a subsidized third-party prep model over direct IRS filing. They also dig into how large firms like RSM are rolling out tightly governed generative AI tools (like "Ask Luca"), and what that teaches smaller firms about AI quality being driven by both model capability and data control. Current events — IRS got rid of Direct File and is promoting Free File RSM lauched its own Generative AI Tool caled AskLuca TV/Movie quote of the week — Wake Up Dead Man: A Knives Out Mystery Your Honor Excellent things we learned — In the Room Where It Happens: Generative AI Policy Creation in Higher Education The JOLT Effect: How High Performers Overcome Customer Indecision Member spotlight — Jennifer Scott of HireEffect The Woodard Report article of the week — The Competitive Advantage of AI Training for Accounting Professionals Thank you to our show sponsor, Canopy! Unclunk your firm with Canopy, the fully integrated practice management that helps accountants build the firm they always wanted. The suite includes client and document management, workflow, time and billing, engagements and proposals, and more. Check out getcanopy.com. Learn more about the show and our sponsors at Woodard.com/podcast

Send us a textJoin us for a thoughtful and faith-centered conversation about AI and the indie author. In this episode, the hosts of the Christian Indie Writers Podcast explore how artificial intelligence fits into the modern self-publishing workflow, from brainstorming and drafting to book formatting tips, metadata, and indie author distribution. We'll discuss what AI can do well, where caution and discernment are needed, and how Christian writers can steward technology without compromising creativity, calling, or integrity. Whether you're curious, cautious, or already experimenting, this episode will help you navigate AI as a tool—not a replacement—for the author God created you to be.Support this ministry on Patreon:https://www.patreon.com/christianindiewriters30 Days of Writing Sprint Prompts:https://www.amazon.com/dp/B08MGR7431Our Facebook Group!https://www.facebook.com/groups/listenersofciwp

On this episode of the Woodard Report podcast, Joe and Heather speak about early-2026 accounting and tech happenings, including new CPE training for Intuit Enterprise Suite, and why leaning into AI skills can create outsized professional value.  Current events — Introduction to Intuit Enterprise Suite Training Rapid AI adoption with growing AI skills requirements TV/Movie quote of the week — Victoria House of David Excellent things we learned — Mind Magic: The Neuroscience of Manifestation and How It Changes Everything The ONE Thing: The Surprisingly Simple Truth About Extraordinary Results Member spotlight — Jodi Plett of Flexkeeper The Woodard Report article of the week — The Competitive Advantage of AI Training for Accounting Professionals Thank you to our show sponsor, CorpNet! CorpNet is the trusted leader in business formation and compliance services, offering one of the best tools for accountants, CPAs and tax professionals nationwide. The CorpNet Partner Program can 10X your firms revenue by helping clients form a business, register for payroll taxes, maintain compliance and more. Learn more about the show and our sponsors at Woodard.com/podcast

Get the AI Opt-Out checklist:https://www.meredithshusband.com/blog/177-ai-opt-outIn this episode, we revisit how visual artists can protect their work from being used to train AI models without undermining their discovery in AI search. We break down what “training opt-out” really means, why robots.txt blocking can harm visibility, and how to use platform-specific tools and privacy settings from OpenAI, Google Gemini, Meta, Anthropic, DeviantArt, and others. We also highlight advocacy groups working on AI regulation for creators.Timestamps[0:00] Episode Introduction  [0:24] Revisiting AI Training Opt-Out  [1:07] How AI Collects and Uses Creative Content  [1:53] Legal Landscape and Current Laws  [2:37] Why This Matters for Visual Artists  [3:28] Visibility vs. Training Tradeoffs  [4:18] Why Robots.txt Blocking Can Hurt Discovery  [5:21] Platform-Level Opt-out Strategy  [6:59] Real Examples (OpenAI, Anthropic, Meta, DeviantArt)  [8:36] How This Helps Future Regulation   -- CONTACTLeave Feedback or Request Topics:https://forms.gle/bqxbwDWBySoiUYxL7

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Josh Halliday, who works on training super intelligence with frontier data at Turing. The conversation explores the fascinating world of reinforcement learning (RL) environments, synthetic data generation, and the crucial role of high-quality human expertise in AI training. Josh shares insights from his years working at Unity Technologies building simulated environments for everything from oil and gas safety scenarios to space debris detection, and discusses how the field has evolved from quantity-focused data collection to specialized, expert-verified training data that's becoming the key bottleneck in AI development. They also touch on the philosophical implications of our increasing dependence on AI technology and the emerging job market around AI training and data acquisition.Timestamps00:00 Introduction to AI and Reinforcement Learning03:12 The Evolution of AI Training Data05:59 Gaming Engines and AI Development08:51 Virtual Reality and Robotics Training11:52 The Future of Robotics and AI Collaboration14:55 Building Applications with AI Tools17:57 The Philosophical Implications of AI20:49 Real-World Workflows and RL Environments26:35 The Impact of Technology on Human Cognition28:36 Cultural Resistance to AI and Data Collection31:12 The Bottleneck of High-Quality Data in AI32:57 Philosophical Perspectives on Data35:43 The Future of AI Training and Human Collaboration39:09 The Role of Subject Matter Experts in Data Quality43:20 The Evolution of Work in the Age of AI46:48 Convergence of AI and Human ExperienceKey Insights1. Reinforcement Learning environments are sophisticated simulations that replicate real-world enterprise workflows and applications. These environments serve as training grounds for AI agents by creating detailed replicas of tools like Salesforce, complete with specific tasks and verification systems. The agent attempts tasks, receives feedback on failures, and iterates until achieving consistent success rates, effectively learning through trial and error in a controlled digital environment.2. Gaming engines like Unity have evolved into powerful platforms for generating synthetic training data across diverse industries. From oil and gas companies needing hazardous scenario data to space intelligence firms tracking orbital debris, these real-time 3D engines with advanced physics can create high-fidelity simulations that capture edge cases too dangerous or expensive to collect in reality, bridging the gap where real-world data falls short.3. The bottleneck in AI development has fundamentally shifted from data quantity to data quality. The industry has completely reversed course from the previous "scale at all costs" approach to focusing intensively on smaller, higher-quality datasets curated by subject matter experts. This represents a philosophical pivot toward precision over volume in training next-generation AI systems.4. Remote teleoperation through VR is creating a new global workforce for robotics training. Workers wearing VR headsets can remotely control humanoid robots across the globe, teaching them tasks through direct demonstration. This creates opportunities for distributed talent while generating the nuanced human behavioral data needed to train autonomous systems.5. Human expertise remains irreplaceable in the AI training pipeline despite advancing automation. Subject matter experts provide crucial qualitative insights that go beyond binary evaluations, offering the contextual "why" and "how" that transforms raw data into meaningful training material. The challenge lies in identifying, retaining, and properly incentivizing these specialists as demand intensifies.6. First-person perspective data collection represents the frontier of human-like AI training. Companies are now paying people to life-log their daily experiences, capturing petabytes of egocentric data to train models more similarly to how human children learn through constant environmental observation, rather than traditional batch-processing approaches.7. The convergence of simulation, robotics, and AI is creating unprecedented philosophical and practical challenges. As synthetic worlds become indistinguishable from reality and AI agents gain autonomy, we're entering a phase where the boundaries between digital and physical, human and artificial intelligence, become increasingly blurred, requiring careful consideration of dependency, agency, and the preservation of human capabilities.

Show Notes: Remco Visser talks about Saga, an AI product used by 150 law firms. Remco explains that Saga is a legal AI innovation company helping law firms and legal departments implement AI into their practice and daily workflows.  AI Training and Integration The platform includes AI training and adoption sessions to help firms integrate AI into their daily practices. However, Remco highlights the importance of understanding the viability space where AI can be effectively used if the firm is not yet ready for full AI implementation. Saga helps firms understand  when AI integration is the best option and offers training on using AI in the workflow.  He talks about LLMs and more standard software options Demonstrating Saga Remco demonstrates the AI platform's ability to draft legal documents, using an NDA as an example. The platform automatically recognizes when a user wants to draft a document and opens a window for AI-generated documents, and he shows the platform's ability to ask follow-up questions for customization, such as what country state law should govern it? What's the main purpose? How long do you want it to last? Remco explains the platform's new updates require more context to draft accurate documents.    The Saga Prompt Improver Remco introduces the concept of a prompt improver that automatically improves prompts for users. The platform can suggest variables for users to fill in, making it easier to draft accurate documents. To highlight the program's efficiency, he gives an example of a prompt improved by the platform. Remco emphasizes the importance of providing context, such as jurisdiction and language, to improve the accuracy of AI-generated documents. He explains how the prompts can be stored in the Prompt Library  improver and how the Saga lab tests and shares prompts for customers to access. Saga Use Cases Remco discusses various use cases, including drafting letters of intent and reviewing agreements, and mentions that people with no legal experience can use it. The platform can use templates and attach documents to draft comprehensive legal documents. Remco demonstrates the ability to redline documents and suggest changes based on templates. The platform can also assist with litigation by drafting arguments, memos, and letters, and providing detailed timelines. Saga's Assistance Roles Remco explains the concept of assistance roles, such as devil's advocate, contract assistant, and legal research assistant. These roles help users challenge their arguments and improve their legal strategies.  Data Accuracy and AI Hallucinations Remco addresses the issue of hallucinations in AI-generated documents, explaining how Saga mitigates this risk. The platform uses citations and reasoning models to ensure the accuracy of generated documents. He demonstrates the various assistant models available from proofreader and tax authority to Judge and goes into detail on how to check citations and ensure data is accurate.  Saga's Implementation Process Remco outlines the implementation process for firms, recommending starting with a smaller group for training. The training program includes sessions on AI basics, prompting, workflows, and legal databases. Firms can also bring practice groups together to brainstorm AI use cases and share information. Remco emphasizes the importance of hands-on exercises during training to ensure users understand how to use the platform effectively.   Time-saving Features and Pricing Remco explains that Saga charges per seat per month, with a price of 125 euros per user. Firms save an average of four to five hours a week and see an improvement in work quality, especially for juniors. The platform is designed to be a no-brainer for firms looking to improve efficiency and quality in legal work. He acknowledges the challenges of implementing new software but believes the value proposition is clear. Grid Review Feature Remco demonstrates the grid review feature, which extracts information from documents and provides detailed insights. The platform can handle various types of documents, such as lease agreements, Chamber of Commerce extractions, and shareholders agreements. The grid review feature highlights the context around extracted information, providing a comprehensive understanding. In conclusion, Remco emphasizes the platform's ability to save time and improve the accuracy of legal reviews.   Timestamps:  01:34: Demonstration of AI Platform Features  03:05: Improving Prompts and Context  05:25: Use Cases and Advanced Features  10:34: Assistance Roles and Safeguards  14:07: Implementation and Training  17:02: Pricing and Value Proposition  20:47: Advanced Features and Customization  Links: Website: https://www.sagalegal.io/ LinkedIn: https://www.linkedin.com/in/remco-visser-1645a39b/ This episode on Umbrex: https://umbrex.com/?post_type=unleashed&p=224463&preview=true Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated show notes and transcript  

Scott Nyegarrd, CEO of the Legacy Group, along with Dr. Dana Schnortz, join Phil to discuss this very interesting and timely one day training event coming soon.

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Send us a textPhotographer credit for Anja Neubauer: self-portrait created with an AI tool.Show Notes:2:30 Prof. Tim McFarlin's focus on copyright and authorship3:30 Dr. Caterina Moruzzi's philosophical/design perspective / focus on authenticity5:00 Dr. Anja Neubauer's focus on global AI/copyright framework5:50 Artist Lisa Lebofsky's perspective on AI as a nomadic painter8:45 “Authenticity Unmasked”–looking at the artistic process not the product9:55 “Authenticity Unmasked” insight-centrality of human perspective12:00 Neubauer–redefinition of terms like originality in light of emerging tech13:30 Getty v. Stability finding  outputs are not copies so not infringements14:55 McFarland–genAI's scale and redefining understanding of terms17:05 US state and federal laws 19:00 need for unified global protection19:50 Alan Robershaw – UK Getty decision's technical focus on the process 21:40 Defining originality 22:10 Getty opinion at 601 v. AI models are memorizing/making copies 24:00 Robertshaw - one step away from judicial definition of consciousness24:40 McFarland – scale is the concern25:35 Lebofsky – how prior claims of infringement fit into AI/appropriation of artists' works26:20 McFarland – ‘substantially similar' takings are prima facie infringement subject to fair use defense27:10 consideration of outputs flooding the market harm 29:25 Lebofsky – use of AI through tools like AI Charm Lab app 31:00 Lebofsky's view of threats to her style and her language 32:45 human requirement for ‘authorship' and consumer trends35:55 Moruzzi – human effort to value the process37:15 Process visible in generative AI circa 2015 v. current genAI's less visibility and thus less authenticity38:30 Anthroprocentric – human need for authorship40:20 Robershaw - Monkey-selfie case; animal versus machine personhood 43:15 McFarland – Arkansas statute on AI44:40 Gould – UK Section 9(3) - limited copyright for output in person who organized the output45:00 Neubauer – issue of term “equipment” for tools 46:50 Gould – current copyright legislation is not fit for purpose48:35 Distinction between camera use and AI model training49:05 Copyright Criminals documentary regarding music sampling 50:00 Sampling case involving Kraftwerk 51:35 Moruzzi – response to consultations53:00 McFarland – extent of law v. parallel tracks to copyright or other alternatives to preserve and protect human creativity54:00 Stefania Salles Bruins–solutions outside the law54:40 Copyright not fit for purpose 55:20 Neubauer - Shift in definition of artwork55:45 Lebofsky – how to establish boundaries57:25 Robertshaw re: Lebofsky's paintings58:00 Salles Bruins – Lebofsky's coding that cannot be replicatedPlease share your comments and/or questions at stephanie@warfareofartandlaw.comMusic by Toulme.To hear more episodes, please visit Warfare of Art and Law podcast's website.To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com. Thanks so much for listening!© Stephanie Drawdy [2025]

Why B2B Marketers Hesitate to Choose an AI Tool and How to Move Forward with ConfidenceIn this episode, Donna Peterson talks about the real fears many B2B marketers face when thinking about using AI tools and large language models. She explains why choosing an AI tool can feel overwhelming and why many industrial brands, executive education programs, and companies with long sales cycles hesitate to get started.Donna highlights three concerns she hears most often:• Not knowing which large language model to choose• Worrying that AI will harm personal relationships• Feeling unsure about learning what seems like a new technologyShe explains that tools like ChatGPT, Gemini, and Copilot all work in similar ways, and the key is understanding how to guide them. Donna reinforces that AI should not replace personal connection. Instead, it should give marketers more time to build trust by handling routine tasks in the background.Listeners will learn how large language models respond to clear direction, why “garbage in, garbage out” still applies, and how to start using AI safely without risking their brand voice. Donna also discusses the increasing interest in AI agents and why companies need to understand LLMs before creating customized agents for different departments.The episode includes simple steps B2B teams can take to start using AI immediately, along with practical guidance for industrial marketers who want to use AI without losing the human touch that builds long-term relationships.These insights support marketers looking for clarity on how to start with AI, how to protect their brand voice, and how to use AI tools responsibly in B2B marketing.Episode Chapters:00:00 Introduction and Purpose00:56 Common Fears of B2B Brands Using AI01:29 Choosing the Right AI Tool02:38 Overcoming the Fear of Learning New Technology03:23 Maintaining Personal Connections with AI05:20 Deep Dive into Large Language Models06:19 The Importance of AI Training in Corporations08:01 The Role of AI Agents in Business10:38 Practical Tips for Using AI Effectively14:38 The Risks of Relying Solely on Software Platforms19:29 Final Thoughts and EncouragementIf you found this episode helpful, please subscribe and rate the show. Your support helps us reach more B2B professionals and continue our mission to inspire success.We do Individual & Team Training as well as Speaking Engagements. See contact details below. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Each week, the leading journalists in legal tech choose their top stories of the week to discuss with our other panelists.   This week's topics: 00:00 Introductions 03:26 From 'Who Luck' to 'Who's Here?': The TLTF Summit Continues to Excel, Even As It Expands (Selected by Bob Ambrogi) 20:36 Why "AI Essentials" Still Matter — Even for the Smartest People in the Room (Selected by Stephanie Wilkins) 21:25 Discussion on AI expectations, in-house vs. law-firm dynamics   (Related to Rhys Dipshan's TLTF Summit Takeaways story) 25:48 McDermott acknowledges 'fielding inbound interest' from outside investors as it listens to new ideas (Selected by Caroline Hill / Victor Li) 31:11 Discussion on MSOs, private equity influence, and law-firm structural changes   (Related to Rhys Dipshan's TLTF Summit Takeaways story) 51:47 Cohere is Canada's Biggest AI Hope. Why is it so American? (Selected by Julie Sobowale)

Timestamps: 0:00 good morning !! 0:15 780K Windows users switch to Zorin OS 1:47 Valve's Steam Machine price comments 3:12 Google clarifies AI training Gmail stuff 4:35 Rove Lab! 5:25 QUICK BITS INTRO 5:35 Stellantis in-car ads 6:09 Neumann Virtual Immersive Studio 6:51 Meta's 17-strike ban threshold 7:35 AI tricked by adversarial poetry 8:23 Paradromics brain chip, ocean trash-bot NEWS SOURCES: https://lmg.gg/nPJS7 Learn more about your ad choices. Visit megaphone.fm/adchoices

Show description:Google responded to viral social media claims that Gmail content is used to train its Gemini AI model, stating that no user settings have changed and Gmail messages are not part of Gemini's training data. The company clarified that Gmail's smart features have existed for years and confirmed that any future changes to data policies will be communicated directly. Google emphasized the importance of verifying information through official channels amid the spread of misinformation online.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Gmail's new AI training rules affect features you use every day. Suggestions and automation become more accurate. Here's what that means for your inbox routine.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Google's latest update reveals that Gmail data is now part of its AI training pipeline. That includes emails, patterns, and file behavior. We're breaking down why this shift happened and what it signals for the future of AI.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We chat with Alex Duffy who as Head of AI Training at Every Consulting run an amazing project where different AI models competed against each other in Diplomacy. Plus we discuss the upcoming Australian Open tournament. Intro The guys introduce the show and Gavin flags he'll be moving further away from Ken, so the show will become more online than face-to-face  (0 mins 15 secs) Interview with Alex Duffy They introduce the interview with Alex from Every Consulting and GoodStartLabs about different AI models playing against each other in Diplomacy (4 mins) The interview kicks off with Alex discussing the research project he ran at Every Consulting where various AI Large Language Models (LLMs) competed against each other in Diplomacy (6 mins 45 secs) Gavin asks Alex how he got into Diplomacy originally (9 mins 50 secs) They discuss the thinking behind the project. During his answer he mentions the Twitch stream of the AI models playing against each other - you can view this on their AI Diplomacy Twitch channel (11 mins 15 secs) They look at how data should be structured and presented to the LLMs (15 mins 45 secs) Alex talks about the different style of play adopted by each LLM - you can read their summary on the Every Consulting AI page (18 mins 45 secs) Gavin asks about how different models approached strategy nnd iterative training of the models so they learn from how they perform in games (24 mins) Gavin reflects on how he sometimes plays in cycles of play (32 mins) They discuss why the game Diplomacy keeps being used researched in the AI space (34 mins) Alex introduces his lates project: The Battle of Bots. You can find out more and register your interest on their Battle of the Bots web page (40 mins 30 secs) They reflect on the newer generations of players bringing their enhanced technology experience to the game (45 mins) Alex asks Gavin and Ken what they've learned from playing Diplomacy to apply to real life (48 mins 30 secs) Gavin asks Alex whether he plans to get more into playing Diplomacy face to face (53 mins 45 secs) Alex discusses other games he's interested in getting into more (57 mins) Just a reminder, you can find out more and register your interest on their Battle of the Bots web page (1 hr 0 mins) Ken suggests some games he feels would be appropriate to research. Alex provides his email address to hear listener's suggestions on other games ot look into (1 hr 2 mins) They begin wrapping up the interiew (1 hr 5 mins 30 secs) The guys reflect on the chat (1 hr 7 mins) Diplomacy Chat Gavin is off to compete in the Australian Open, being hosted the weekend of 21 to 23 November. Plus they talk about the Bismark Cup  (1 hr 23 mins) After some tangental talk, they return full circle to the Australian Open. Gavin mentions doing some recordings when not playing, however, with his house move he can't find the recorder which is packed somewhere (1 hr 33 mins) They discuss getting and staying in the right zone, and reflect on Mitchell and Webb's the Inebriati sketch (1 hr 37 mins 30 secs) Gavin incorrectly cites Mitchell and Webb again, but it is actually Stephen Fry and Hugh Lawrie's Treaty of Westphalia sketch (1 hr 39 mins 30 secs) The guys start wrapping up the show (1 hr 40 mins) Venue: At home Drinks for the interview: Gavin: Proximo tempranillo from Rioja, Spain Ken: Poet's Country Crisp lager from Yenda, NSW Just a reminder you can support the show by giving it 5 stars on iTunes or Stitcher. And don't forget if you want to help pay off the audio equipment... or buy the guys a drink, you can also donate at Patreon, plus you get extra podcast episodes! Lastly, don't forget to subscribe so you get the latest Diplomacy Games episodes straight to your phone. Thanks as always to Dr Dan aka "The General" for his rockin' intro tune.

During this forward-thinking episode, we sit down with Winston Chi from NOSO LABS to explore how AI and technology are reshaping the HVAC industry. From solving workforce challenges to improving training and customer interactions, Winston shares his unique perspective on leveraging innovation to drive success. We discuss: • The generational gap in the HVAC workforce and its impact on the industry • How AI can act as a digital mentor to enhance technician training and performance • The role of technology in improving close rates and customer communication • The importance of adapting training methods to meet the needs of younger generations • How NOSO LABS is creating tools to simplify follow-ups, proposals, and fieldwork Winston offers actionable insights and practical solutions for contractors, technicians, and industry leaders looking to stay ahead in a rapidly evolving landscape. Whether you're navigating workforce challenges or exploring AI-driven tools, this episode is packed with valuable takeaways to help you thrive. Learn more at noso.so.

Hello everyone. Welcome to the latest episode of The Matchbox Podcast powered by Ignition Coach Co. I'm your host, Adam Saban, and on this week's episode we talk about differences electrolyte supplementation, assessing AI training plans, and preparing for climbing events.   As always, if you like what you hear, share this with your friends and leave us a five star review and if you have any questions for the show drop us an email at matchboxpod@gmail.com or head over to ignitioncoachco.com and fill out The Matchbox Podcast listener question form.    Alight let's get into it!   For more social media content, follow along @ignitioncoachco @adamsaban6 @dizzle_dillman @dylanjawnson @kait.maddox     https://patreon.com/MatchboxPodcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink   https://www.youtube.com/c/DylanJohnsonCycling https://www.ignitioncoachco.com  https://www.youtube.com/@DrewDillmanChannel   Intro/ Outro music by AlexGrohl - song "King Around Here" - https://pixabay.com/music/id-15045/    The following was generated using Riverside.fm AI technologies     Summary In this conversation, the hosts discuss the importance of understanding individual electrolyte needs for optimal performance in cycling, emphasizing the need for personalized testing. They explore the role of AI in cycling coaching, debating its effectiveness compared to human coaches. The discussion also covers strategies for preparing for climbing events, particularly for cyclists who lack access to long climbs, highlighting the significance of durability and mental preparation.   Chapters 00:00 Understanding Liquid Sodium and Electrolyte Needs 02:48 Personalizing Sodium Intake Through Sweat Testing 05:20 The Role of Sodium in Hydration and Performance 07:46 Electrolytes: Beyond Sodium and Their Impact 10:20 The Importance of Sodium in Nutrition Labels 12:37 Using AI for Training Advice: Pros and Cons 19:59 Exploring Training Methods and AI Insights 21:57 The Human Element in Coaching vs. AI 25:40 Preparing for Climbs Without Access to Hills 29:56 Mindset Shifts: Climbing vs. Flat Riding 43:14 Durability and Fitness for Endurance Events          

Companies can buy tailored engineering datasets. The platform is customizing content by domain. Revenue diversification is the goal.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ever feel like you're spending more time teaching your AI tools how to work than actually getting work done? You're not alone. In this week's AI Hat Dispatch, I share the brutal moment I realized I'd become an unpaid trainer for yet another "revolutionary" AI video tool - and the eye-opening lesson that changed everything about how I approach AI in my business. If you've ever found yourself jumping between a dozen different AI platforms, each demanding you learn their language and work around their limitations, this episode is for you. We'll explore why the most successful solopreneurs don't actually use more AI tools - they use fewer, better, and smarter ones. More importantly, I'll show you the difference between being your AI's assistant versus being its boss, and why that shift is the key to finally building systems that work FOR you instead of against you. This isn't about adding another tool to your stack. It's about becoming the architect of your own AI-powered business. Join the AI Solopreneur OS community at https://theaihat.com/aisos CHAPTERS 00:00 The Harsh Reality for Solopreneurs 03:08 The AI Paradox: Tools or Chains? 03:23 The Early Railroad Analogy 03:31 Designing Systems Around Human Expertise 03:38 The Secret to Successful Solopreneurship Learn more about your ad choices. Visit megaphone.fm/adchoices

2544 AI Training Resources for JAWS, ZoomText, and Fusion (Oct. 29, 2025) Show Notes JAWS, ZoomText and Fusion users can now benefit from AI powered tools like PictureSmart AI and FS Companion that provide image descriptions, label buttons, and help users with commands. Hosts Nancy and Peter Torpey talk with Elizabeth Whitaker from Vispero about … Continue reading 2544 AI Training Resources for JAWS, ZoomText, and Fusion (Oct. 29, 2025) →

In this episode of the AI Chat podcast, host Jaeden Schaefer speaks with Brijesh, CEO of Flex AI, about the innovative solutions Flex AI is bringing to the AI infrastructure space. Brijesh discusses the vision behind Flex AI, which aims to create a universal AI platform that optimizes costs and improves efficiency for users. The conversation covers the challenges faced in AI engineering, and predictions for the future of AI infrastructure, emphasizing the importance of reducing costs to make AI more accessible.Try Flex AI: Flex.aiChapters00:00 Introduction to Flex AI and Brijesh's Background02:54 The Vision Behind Flex AI05:43 Innovations in AI Training and Inference08:17 Evolution of Flex AI and Market Positioning14:07 Challenges in AI Infrastructure20:47 Future Predictions for AI and Industry Trends

This series of Voices of Student Success focuses on the use of generative artificial intelligence in higher education and how technology can support student success goals.   While AI tools have proliferated in education and workplace settings, not all tools are free or accessible to students and staff, which can create equity gaps regarding who is able to participate and learn new skills. To address this gap, San Diego State University leaders created an equitable AI alliance in partnership with the University of California San Diego and the San Diego Community College District. Together, the institutions work to address affordability and accessibility concerns for AI solutions, as well as share best practices, resources and expertise.  In the latest episode of Voices of Student Success, James Frazee, San Diego State University's chief information officer, discusses the alliance and SDSU's approach to teaching AI skills to students.  Hosted by Inside Higher Ed Student Success reporter Ashley Mowreader, this episode is sponsored by TimelyCare.  Read a transcript of the podcast here. 

In this episode of the Develop This! Podcast, Dennis Fraise is joined by Ashley Canada and Eric Canada for the third installment in a four-part series on building an AI blueprint. They dive into the essential role of workforce upskilling in successful AI adoption, explaining why AI training must extend beyond technical teams to prevent the creation of a two-tier workforce. The discussion highlights how inclusive AI training not only builds employee skills but also boosts morale, engagement, and organizational growth. Listeners will gain actionable strategies for empowering employees, leveraging AI to amplify human strengths, and involving staff in identifying opportunities for AI implementation. The episode also explores quick wins that spark awareness, the evolving roles of AI in economic development organizations, and practical ways to integrate AI into a broader workforce development strategy. Key Takeaways: Upskilling the entire workforce is essential for successful AI adoption. Selective training risks creating a two-tiered workforce. AI enhances human capabilities and engagement—it doesn't replace people. Inclusive training fosters morale, ownership, and organizational alignment. Staff input is critical for identifying AI opportunities that add real value. Automating repetitive tasks frees humans for higher-value work. Understanding AI tools amplifies unique human strengths. Economic development organizations play a role in broader community AI education. Quick wins in AI training build awareness and momentum. Future-ready employees will work alongside AI copilots to achieve more.

AI training apps aren't fringe anymore—they're steering runners into races, shaping programs, and shifting the coach–athlete relationship. In this conversation, Rob, Sharon, and Dan get honest about where AI helps, where it harms, and how real coaching fills the gaps. From Strava's social pull to training plans that ramp too fast, we unpack who thrives with AI, who gets left behind, and how to blend tech with human nuance without losing the “care” that keeps athletes healthy and progressing.In this episode:The draw of AI tools: convenience, community, and decision-fatigue reliefHidden downsides: comparison traps, overreaching, and context-blind pacesWhy beginners often need humans more than algorithmsRPE vs pace, hills and elevation, HRV/sleep, and the data AI ignoresAccountability: push notifications vs a coach who actually checks inEquity & nuance: female athletes, older runners, youth, neurodiversity, and medical historyA practical middle ground: using AI plans with human touchpoints

Mississippi lawmakers are hearing why genetic testing for cancer patients could give them better access to more effective treatment.Then: New guidelines released this week from the CDC now determine who can get and give the COVID vaccine. Plus: how college students are being prepared to work alongside artificial intelligence. Hosted on Acast. See acast.com/privacy for more information.

AI is transforming medicine at a speed never seen before. In this episode, you'll discover how digital twins and artificial intelligence will revolutionize drug discovery, eliminate human trials, and personalize your biology for longevity and high performance. Host Dave Asprey breaks down how AI can now simulate virtual cells and tissues, running clinical experiments in minutes instead of years to create truly individualized medicine. Watch this episode on YouTube for the full video experience: https://www.youtube.com/@DaveAspreyBPR Dr. Derya Unutmaz is a world-renowned immunologist, systems biologist, and professor at The Jackson Laboratory. With more than 150 scientific papers, he's a leading expert in immune system research and one of the first scientists to pioneer the concept of digital twins for biology. His groundbreaking work uses AI to model how immunity, metabolism, and aging interact—creating new possibilities for personalized medicine, disease prevention, and lifespan extension. Host Dave Asprey and Dr. Unutmaz reveal how AGI will soon outperform doctors, accelerate functional medicine, and optimize human biology far beyond today's standards. You'll learn how the immune system drives inflammation and aging, how to re-engineer it for resilience, and why compounds like GLP-1 and metformin may add years to your life. You'll Learn: • How digital twins will end human drug testing • Why AGI could replace doctors and computer jobs within five years • How AI models immune function, metabolism, and aging • The role of mitochondria and inflammation in longevity • How GLP-1 drugs and metformin extend lifespan • What continuous biological monitoring means for health tracking • How AI is transforming functional medicine and personalized care • Why NAD and energy metabolism are key to human performance They explore how artificial intelligence, biohacking, and systems biology intersect to create a smarter approach to health and longevity. You'll also learn how understanding immune balance, metabolism, and mitochondrial function helps build resilience and extend your lifespan. This is essential listening for anyone serious about biohacking, hacking human performance, and extending longevity through personalized medicine, functional biology, and cutting-edge AI innovation. This is essential listening for anyone serious about biohacking, hacking human performance, improving mobility, and extending longevity. You'll also learn how neuroplasticity, metabolism, and brain optimization all connect to the way you move. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights in health, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: AI medicine, Digital twins, Functional medicine, Biohacking, Longevity, Immune system, Inflammation, Personalized medicine, GLP-1 therapy, Metformin, NAD boosters, Mitochondrial function, Metabolism, AGI, Clinical trials, Human performance, Aging research, Systems biology, Immunology, Smarter Not Harder Thank you to our sponsors! BrainTap | Go to http://braintap.com/dave to get $100 off the BrainTap Power Bundle. MASA Chips | Go to https://www.masachips.com/DAVEASPREY and use code DAVEASPREY for 25% off your first order. Our Place | Head to https://fromourplace.com/ and use the code DAVE for 10% off your order. ARMRA | Go to https://tryarmra.com/ and use the code DAVE to get 15% off your first order Resources: • Keep up with Derya's work: https://x.com/derya_?lang=en • Business of Biohacking Summit | Register to attend October 20-23 in Austin, TX https://businessofbiohacking.com/ • Danger Coffee: https://dangercoffee.com/discount/dave15 • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Upgrade Collective: https://www.ourupgradecollective.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen: https://40yearsofzen.com Timestamps: 00:00 — Trailer 01:25 — Intro 02:26 — AI's Role in Extending Lifespan 02:56 — Regulatory Frameworks and Medical Adoption 05:19 — Problems with the Immune System 08:19 — Chronic Fatigue and Long COVID Research 10:32 — Modern Testing and Multi-Omic Analysis 14:07 — Personal Longevity Strategy and Supplements 15:17 — Understanding Exhausted Cells 23:43 — Personalization in Medicine and AI Analysis 31:35 — Longevity Escape Velocity 36:13 — AI Doctors and Prescriptions 39:55 — Data Quality Concerns in AI Training 43:19 — The Future of Wearable Technology 45:50 — Revolutionizing Education with AI 49:04 — The Future of Higher Education 52:03 — Future of Work and AI Agents See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Invest Like the Best: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- My guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing

In this episode of the Simple and Smart SEO Show, Crystal Waddell (me!) sits down with Andy Crestodina, co-founder of Orbit Media, to explore SEO, AI, and content marketing. Andy shares his insights on how search behavior is shifting, the importance of training AI to recognize and recommend your brand.

My guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing

QFF: Quick Fire Friday – Your 20-Minute Growth Powerhouse! Welcome to Quick Fire Friday, the Grow A Small Business podcast series that is designed to deliver simple, focused and actionable insights and key takeaways in less than 20 minutes a week. Every Friday, we bring you business owners and experts who share their top strategies for growing yourself, your team and your small business. Get ready for a dose of inspiration, one action you can implement and quotable quotes that will stick with you long after the episode ends! In this episode of Quick Fire Friday, host Rob Cameron interviews Ryan Estes, Founder of Kitcaster, to share how he has helped 800+ startup founders and CEOs harness the power of podcast guesting. Ryan reveals how authentic conversations can raise millions, build stronger brands, and even shape how AI perceives businesses. He breaks down the challenges small business owners face, from fear to growth, and explains why showing up consistently is the ultimate differentiator. With real case studies and proven results, this episode is packed with insights on turning podcasts into a growth engine. Key Takeaways for Small Business Owners: The Power of Podcast Guesting – Ryan explains how appearing on podcasts helps founders and CEOs build authority, attract customers, and even secure funding. Fear is Universal in Business – Whether raising $300M in venture capital or running a bootstrapped startup, all entrepreneurs face fear and pressure—and acknowledging it is key to growth. Authenticity Wins in the Market – Passion, care for customers, and a personal voice are what truly differentiate businesses in competitive industries. Our hero crafts outstanding reviews following the experience of listening to our special guests. Are you the one we've been waiting for? Podcasts Influence AI Training Data – Ryan highlights how large language models like ChatGPT use podcast content for training, making consistent podcasting a way to shape how AI “sees” your brand. Million-Dollar Results – Case studies show founders raising millions and generating seven-figure revenues directly from podcast interviews arranged by Kitcaster. Consistency Beats Perfection – Ryan's advice: don't judge yourself until your 100th piece of content; give yourself space to make mistakes and learn while building your brand presence. One action small business owners can take: According to Ryan Estes, one action small business owners can take is to openly share their story – through podcasts, social media, or direct outreach – because authentic communication is the key to building trust and driving growth. Do you have 2 minutes every Friday? Sign up to the Weekly Leadership Email. It's free and we can help you to maximize your time. Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.

How do we get from today's AI copilots to true human-level intelligence? In this episode of Eye on AI, Craig Smith sits down with Eiso Kant, Co-Founder of Poolside, to explore why reinforcement learning + software development might be the fastest path to human-level AI. Eiso shares Poolside's mission to build AI that doesn't just autocomplete code — but learns like a real developer. You'll hear how Poolside uses reinforcement learning from code execution (RLCF), why software development is the perfect training ground for intelligence, and how agentic AI systems are about to transform the way we build and ship software. If you want to understand the future of AI, software engineering, and AGI, this conversation is packed with insights you won't want to miss. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) The Missing Ingredient for Human-Level AI(01:02) Eiso Kant's Journey(05:30) Using Software Development to Reach AGI(07:48) Why Coding Is the Perfect Training Ground for Intelligence(10:11)  Reinforcement Learning from Code Execution (RLCF) Explained(13:14) How Poolside Builds and Trains Its Foundation Models(17:35) The Rise of Agentic AI(21:08)  Making Software Creation Accessible to Everyone(26:03) Overcoming Model Limitations(32:08) Training Models to Think(37:24) Building the Future of AI Agents(42:11) Poolside's Full-Stack Approach to AI Deployment(46:28) Enterprise Partnerships, Security & Customization Behind the Firewall(50:48) Giving Enterprises Transparency to Drive Adoption  

Today's show features: Marion Cain, Founder of ACE David Kelly, Training Director of Brown & Brown Dealer Services This episode is brought to you by: Toma – If your BDC or Service Advisors are buried in calls, it's time for a smarter solution. Toma builds custom AI agents that answer 100% of your dealership's inbound calls and handle tasks like booking service, checking recalls, and scheduling test drives—without tying up your team. Dealers using Toma are saving 30–40 staff hours a week and booking 100+ extra appointments every month. Exclusive for CDG Listeners: Start your no-risk, 1-month free trial at https://www.toma.com/cdg Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at https://carguymedia.com/cdglive and we hope to see you in Vegas! Check out Car Dealership Guy's stuff: CDG News ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://news.dealershipguy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CDG Jobs ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://jobs.dealershipguy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CDG Recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.cdgrecruiting.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ My Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ dealershipguy.com

Gamification boosts engagement, retention, and real-world application, making Gen AI training more effective, collaborative, and motivating for employees. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about the secret to making generative AI training addictive.This article forms the basis for this episode: https://disasteravoidanceexperts.com/the-surprising-secret-to-making-gen-ai-training-addictive/

Can AI agents actually reduce your workload—or just add hype? Blake demos how he rebuilt bill-entry “Hubdoc-style” in about an hour with Zapier Agents, then maps out why most AI pilots fail without documented workflows and human approvals. Plus: PwC's plan to hire one-third fewer grads, juniors supervising AI, HMRC scanning social posts for tax gaps, and fresh salary and pricing benchmarks. Learn where AI truly fits—and how to price with confidence.SponsorsRelay - http://accountingpodcast.promo/relayTeamUp - http://accountingpodcast.promo/teamup Human at Scale - http://accountingpodcast.promo/humanDigits - http://accountingpodcast.promo/digitsChapters(05:36) - AI Agents: Hype vs. Reality (07:49) - AI's Impact on Corporate America (10:28) - Challenges in AI Integration (19:11) - PWC and AI: Training the Next Generation (21:43) - Building AI Agents with Zapier (41:00) - Human at Scale: Transforming Accounting Firms (42:34) - Live Stream Chat and AI Future (45:14) - Outsourcing vs. AI in Business (46:37) - AI in Accounting: Supervision and Customization (48:33) - Intuit's Q4 Earnings and QuickBooks Live (51:00) - AI's Impact on Accounting Jobs and Tools (59:48) - UK's AI Tax Fraud Detection (01:03:27) - Accounting Salary Survey Results (01:13:40) - Client Relationships and Free Speech Issues (01:18:18) - Conclusion and CPE Information  Show NotesThe GenAI Divide: State of AI in Business 2025 (MIT NANDA Report)https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/Getting a job at PwC out of college will be a lot tougher. It plans to recruit a third fewer grads by 2028 https://www.aol.com/getting-job-pwc-college-lot-120316405.htmlHMRC uses AI to spot tax fraud on social media https://www.accountancyage.com/2025/08/12/hmrc-uses-ai-to-spot-tax-fraud-on-social-media/The 2025 Accounting Today Salary Survey: Sweetening the deal https://www.accountingtoday.com/news/the-2025-accounting-today-salary-survey-sweetening-the-deal2025 U.S. Accounting and Tax Pricing Benchmark (Ignition) https://www.ignitionapp.com/us/2025-accounting-tax-pricing-benchmarkTaxDome Releases First-of-Its-Kind 2025 Niche Business Accounting Report https://www.morningstar.com/news/pr-newswire/20250819ph53815/taxdome-releases-first-of-its-kind-2025-niche-business-accounting-report2025 Niche Business Accounting Report (TaxDome) https://taxdome.com/niche-report-2025Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifiedsWant to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI development lifecycle. She explains why aligning training and inference systems is essential for creating a seamless, fast-moving production pipeline, preventing the friction that often stalls deployment. We explore the strategic shift from treating models as commodities to viewing them as core product assets. Lin details how post-training methods, like reinforcement fine-tuning (RFT), allow teams to leverage their own proprietary data to continuously improve these assets. Lin also breaks down the complex challenge of what she calls "3D optimization"—balancing cost, latency, and quality—and emphasizes the role of clear evaluation criteria to guide this process, moving beyond unreliable methods like "vibe checking." Finally, we discuss the path toward the future of AI development: designing a closed-loop system for automated model improvement, a vision made more attainable by the exciting convergence of open and closed-source model capabilities. The complete show notes for this episode can be found at https://twimlai.com/go/742.