Podcasts about ai4

I attended Tesla's Cybercab launch event in Austin and spent more than two hours speaking with Tesla engineers and examining the technical displays. In this video, I share what I learned about the Cybercab's unboxed assembly process, plastic exterior, brake-by-wire system, interior design, thermal management, drive unit, crash testing, serviceable battery pack, AI hardware, and manufacturing line. Seeing these systems firsthand changed my perspective on Cybercab. This isn't simply a new vehicle—it may form the foundation of Tesla's manufacturing and autonomous-transport strategy for the next decade. I also discuss Tesla's progress with FSD, the expected transition from AI4 to AI5, the advantages of a large Robotaxi network, and what could come next—including Cybervan and future autonomous passenger vehicles. Toward the end, I share a personal update about my family, my wife's health, and why I haven't posted as many videos recently. CHAPTERS 00:00 Introduction 00:38 Event setup, expectations, and keynote 03:12 Why this launch is a major Tesla milestone 05:37 Unboxed assembly and the six vehicle modules 10:15 Plastic exterior and eliminating the paint shop 11:55 Cybercab body-panel “golden ticket” 13:03 RIM plastic, durability, and cost savings 14:57 Future autonomous passenger vehicles 20:14 Brake-by-wire and modular assembly 24:08 Interior, space, and cabin design 27:27 Exterior details, wheels, and tires 28:23 Version 5 thermal-management system 31:49 Version 5 drive unit 33:54 Crash structure and testing 36:54 Serviceable, semi-structural battery pack 40:55 Integrated ancillary-base electronics 44:49 Broader engineering takeaways 49:07 Tesla AI, LLM lessons, and real-time FSD 50:39 Austin manufacturing capacity 52:19 Cybercab's implications for Tesla's next decade 53:29 Cybervan and future consumer vehicles 54:26 Recent FSD progress 55:42 Coordinating hardware and autonomy software 57:35 Integrating hardware, software, and AI chips 59:21 Robotaxi network effects and competitive advantages 62:42 AI4 constraints and AI5 expectations 66:04 Personal update 66:23 My wife's cancer treatment and outlook 68:07 Family and homeschooling 71:02 Future interests and closing Social

Niantic Spatial CTO Brian McClendon on how the best engineers solve problems most give up on — from a 4D model of the world to shipping research in months. He built Google Earth and ran Google Maps for over a decade, and he's been there, done that. What he's building now is harder, and it's already live for customers. Along the way: who makes it on his team and who doesn't, and the one piece of advice he'd give every engineer using AI.In this video, we cover:- The 4D model of the world: visual positioning, change detection, and treating a pile of photos like a database- Gaussian splats and real-to-sim: capturing a room and loading it into Nvidia Isaac to train robots- Turning a research idea into a production service in six months- What Google Maps taught him about building for robots instead of humans- Designing problems AI can self-check, and why token maxing is a wasteFor engineers and engineering leaders who want to work on problems that don't have a known answer yet — and who want to know what a CTO who's built the definitive product in his field looks for in the people he hires.Recorded at the AI4 conference 2026. Timestamps:00:00:00 - Google Earth? Been There, Done That00:00:46 - Turning a Research Idea Into Production in 6 Months00:02:37 - How Any Photo Gets Located Within Half a Meter00:06:37 - The Long-Term Goal: A 4D Model of the World00:08:37 - Treating a Pile of Photos Like a Database00:11:58 - What Google Maps Taught Him About Training Robots00:15:22 - Gaussian Splats Explained in Plain Terms00:17:42 - The Unsolved Problem: Scale and Semantic Change00:20:34 - Why Google Earth Is Good Enough00:22:09 - Who Makes It on His Team and Who Doesn't00:23:38 - Designing Problems AI Can Self-Check00:26:03 - The Insights Hidden in the Physical World00:28:18 - Digital Twins, Cities, and Ready Player One00:31:35 - Visual Positioning When GPS Gets Spoofed00:33:24 - Token Maxing Is Bullshit: Advice for EngineersGuest: Brian McClendon, CTO at Niantic Spatial. The engineer behind Google Earth; ran Google Maps for over a decade.https://www.linkedin.com/in/brianmcclendon#NianticSpatial #GoogleEarth #SoftwareEngineering

How do new staff engineers build judgment without the years of experience that used to come with the role? Mallika Rao, engineering leader in big tech, explains why the data-structures-and-algorithms foundation everyone was trained on is no longer enough on its own, and where the complexity has actually shifted now that AI writes the implementation.In this video, we cover:Why "how does AI affect engineers" is the wrong question, and what to ask insteadRehearsing multiple futures: what judgment looks like in a staff engineerThe case method: building judgment from incident reports and system design history instead of waiting years for itCognitive coordination, code review load, and the surprise ask for more meetings at staff levelTiger teams vs scaled teams, trust as architecture, and building evals from a spreadsheetSplitting planning from execution so engineers stop falling behind with agentsTaste vs judgment, and how to build both outside of softwareIf you've just made staff, or you're about to, this conversation gives you a frame for what the level actually demands now and how to grow into it faster than the old apprenticeship allowed.Recorded at the AI4 conference 2026. Timestamps:00:00:00 - How AI Is Changing Senior Engineering Careers00:00:41 - Why "How Does AI Affect Engineers" Is the Wrong Question00:03:26 - What Judgment Actually Is: Rehearsing Multiple Futures00:05:24 - Why Data Structures and Algorithms Are No Longer Enough00:07:22 - Learning Judgment From Incident Reports Like the 2017 S3 Outage00:11:13 - The New Staff Engineer's Core Challenge: Cognitive Coordination00:14:48 - What Managers, Universities, and Shakespeare Each Owe You00:17:55 - Code Review Load, Meeting Notes, and the Surprise Ask for More Meetings00:23:59 - Trust as Architecture: Why Evals Started as a Spreadsheet00:27:09 - Tiger Teams vs Big Teams: Product Managers Reviewing Code00:32:39 - Why Some Engineers Can't Keep Up With Agents00:35:46 - Local AI Champions and Splitting Planning From Execution00:38:38 - Go Deep or Go Broad? Search in a World of Agents00:44:12 - Taste vs Judgment: Thinking in 50 LayersGuest: Mallika Rao, engineering leader in big tech.Rehearshing the Future framework If by Rudyard Kipling

The Big Unlock · Alex Zhavoronkov, Founder, CEO and CBO, Insilico Medicine In this episode, Alex Zhavoronkov, Founder, CEO and CBO of Insilico Medicine, explores how generative AI is reshaping drug discovery and opening new possibilities in longevity research. He explains how AI can move pharmaceutical R&D from searching for promising molecules toward generating molecules with desired properties, while orchestrating specialized models and agents across the drug development lifecycle. Insilico combines AI models across biology, chemistry, and clinical development to move from target identification to drug candidates faster, with multiple programs now in clinical trials. Alex argues that AI can dramatically expand the number of experiments researchers can conduct, but the complexity of biology means failure remains inevitable and real-world validation is essential. He discusses the industry’s shift from predictive AI to generative and agentic systems capable of orchestrating thousands of drug discovery tasks, while emphasizing the importance of rigorous validation. Alex believes the strongest competitive advantages will come from proprietary drugs, scientific infrastructure, capital, and the ability to turn ideas into validated products. He cautions against AI hype and emphasizes benchmarking, peer-reviewed evidence, and clinical results. His ultimate ambition is to use AI-driven drug discovery to extend human lifespan and give people more years of life. Take a listen. This guest appearance was facilitated through conversations initiated at Ai4 2026.

How does Amazon build its agentic AI? Michael Giannangeli, Head of Product for Amazon Nova and Agentic AI, breaks down evals, RL gyms, and model routing. He also explains why the bottleneck in software has shifted away from engineering hours and what takes its place.In this video, we cover:The eval lifecycle: building from real failure modes, saturation, and why 100% means deleteRL gyms: training models on real environments like migrations, DevOps, and pen testingModel routing, cost-per-token trade-offs, and why routing isn't solvedThe agent stack of an Amazon product lead: Claude Code, Codex, and KiroAutonomous migrations, trust, and how much human-in-the-loop survivesFor engineers and product people building with AI agents who want to see how a frontier lab actually closes its feedback loops.Recorded at the AI4 conference 2026. Timestamps:00:00:00 - Intro00:00:36 - The Agents an Amazon Product Lead Uses Daily00:03:36 - Why Nobody's Heard of Amazon Nova00:04:55 - Model Costs and the Routing Problem00:08:10 - Why Building Good Evals Is So Hard00:10:05 - When Evals Saturate and Get Deleted00:12:17 - Turning Real Failure Modes Into Hundreds of Evals00:15:26 - Improving Models Without Training on Customer Data00:18:26 - If Everyone Uses Agents, You Need Agents00:20:22 - The Bottleneck Is No Longer Engineering Hours00:23:20 - Ship Fast to Validate the Right Thing00:26:44 - Staying at the Frontier Amid Constant Noise00:29:37 - Spend 10-20% of Your Time Experimenting00:32:54 - RL Gyms: How Models Learn From Failure00:37:09 - Will Migrations Become Fully Autonomous?Guest: Michael Giannangeli - Head of Product, Agentic AI & Amazon Nova at Amazon#AmazonNova #AgenticAI #AIEngineering

This week's full broadcast of Computer Talk Radio includes - 00:00 - Tech News made less nerdy - Muse Glimmer, OpenAI, RAM, Microsoft, passwords, Terafab - 11:00 - Flock cameras are invading - Benjamin complains over surveillance giant of Flock and ALPRs - 22:00 - Intel Macs need replacing, VR - Keith notes Intel Macs need replacing, updates on VR goggles - 31:00 - Marty Winston's Wisdom - Marty asks what it will take for AI to adhere to 3 laws of robotics - 39:00 - Scam Series - Three Imposters - Benjamin tells of new 3 part imposter retirement drain scam - 44:00 - Keske on waking up each day - Steve and Benjamin talk about evolution of getting up in morning - 56:00 - Dr Doreen Galli - AI4 and Blackhat - Doreen tells of her favorite portions of AI4 and Blackhat expos - 1:07:00 - Listener Q&A - managing life - Jenna asks about control over passwords, Marcus over file mess - 1:16:00 - IT Professional Series - 392 - Digital inefficiency is a common problem in the workplace - 1:24:00 - Listener Q&A - Mesh WiFi - Victor asks about mesh WiFi moving devices between nodes

When a brand says it "used AI," that could mean anything from a tool speeding up a human's first draft to a system generating and shipping work on its own — and almost all of the real risk lives in the difference. So as AI moves deeper into creative work, which decisions are you certain still belong to a human?Real agility here isn't being quick with the latest tools. It's moving fast without losing the through-line that makes a brand recognizable — the ability to know exactly where human judgment stays non-negotiable.Today we're recording live at Ai4 2026 in Las Vegas at the Venetian, and we're going to talk about:- Drawing a clear line between where AI sharpens creative work and where it introduces unacceptable brand risk.- A practical look at how AI was used in a national campaign to improve the creative process, not just automate it.- The strategic shift as consumers move from traditional search engines to AI-powered platforms for discovery and research.To help me dig into this, I'd like to welcome Taryn Crouthers, CEO at Big Spaceship.About Taryn CrouthersTaryn Crouthers is the CEO of Big Spaceship, MSQ Partners' award-winning creative agency. A passionate leader, Taryn has spent her decades-long career inspiring teams to create work that moves both people and business. Her work spans advertising, media, entertainment, and the distribution and commercialisation that scale them. She is the former President of social-first global media company ATTN:, where she helped lead the company from pre-revenue through its $100M acquisition.Along the way, she earned recognition including Campaign's Inspiring Women (2026), 40 Over 40 (2025), Ad Age Leading Women (2024), Cynopsis' Corporate Visionary, and Top Women in Digital.An entrepreneur at heart and a nationally recognised voice on the future of creativity and AI integration, Taryn brings a founder's mindset to scaling creative businesses and developing new revenue models. She has served on juries for Cannes Young Lions, The One Show, ADC, Webby Awards, and other prestigious industry competitions. She serves on the Advisory Board of Miami Ad School and is an active investor in emerging creative and technology-driven companies.She is also a co-founder of the Women in AI Summit for the Creative Community and launched the Women in AI Creative Cohort, which selects 15 top global executives for a six-month AI mentorship program.Taryn Crouthers on LinkedIn---------- Resources ---------- Big SpaceshipThe Agile Brand podcast is brought to you by TEKsystems.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit!Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Start building your own apps with Replit and get $20 off.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

When a brand says it "used AI," that could mean anything from a tool speeding up a human's first draft to a system generating and shipping work on its own — and almost all of the real risk lives in the difference. So as AI moves deeper into creative work, which decisions are you certain still belong to a human?Real agility here isn't being quick with the latest tools. It's moving fast without losing the through-line that makes a brand recognizable — the ability to know exactly where human judgment stays non-negotiable.Today we're recording live at Ai4 2026 in Las Vegas at the Venetian, and we're going to talk about:- Drawing a clear line between where AI sharpens creative work and where it introduces unacceptable brand risk.- A practical look at how AI was used in a national campaign to improve the creative process, not just automate it.- The strategic shift as consumers move from traditional search engines to AI-powered platforms for discovery and research.To help me dig into this, I'd like to welcome Taryn Crouthers, CEO at Big Spaceship.About Taryn CrouthersTaryn Crouthers is the CEO of Big Spaceship, MSQ Partners' award-winning creative agency. A passionate leader, Taryn has spent her decades-long career inspiring teams to create work that moves both people and business. Her work spans advertising, media, entertainment, and the distribution and commercialisation that scale them. She is the former President of social-first global media company ATTN:, where she helped lead the company from pre-revenue through its $100M acquisition.Along the way, she earned recognition including Campaign's Inspiring Women (2026), 40 Over 40 (2025), Ad Age Leading Women (2024), Cynopsis' Corporate Visionary, and Top Women in Digital.An entrepreneur at heart and a nationally recognised voice on the future of creativity and AI integration, Taryn brings a founder's mindset to scaling creative businesses and developing new revenue models. She has served on juries for Cannes Young Lions, The One Show, ADC, Webby Awards, and other prestigious industry competitions. She serves on the Advisory Board of Miami Ad School and is an active investor in emerging creative and technology-driven companies.She is also a co-founder of the Women in AI Summit for the Creative Community and launched the Women in AI Creative Cohort, which selects 15 top global executives for a six-month AI mentorship program.Taryn Crouthers on LinkedIn---------- Resources ---------- Big SpaceshipThe Agile Brand podcast is brought to you by TEKsystems.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit!Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Start building your own apps with Replit and get $20 off.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

This week's full broadcast of Computer Talk Radio includes - 00:00 - Tech News, Nerd‑Filtered - BMW, Spiderman, AI, virus, FBI thief, Microsoft, blood shortage - 11:00 - Listener Q&A - slow webpages - Colin asks Benjamin why some webpages pause while loading - 22:00 - RAM and Apple pricing changes - Keith and Benjamin discuss impact of RAM on Apple pricing - 31:00 - Marty Winston's Wisdom - Mark talks details on Asus Zen Wi-Fi routers BT8 and BD5 Mesh - 39:00 - Scam Series - FTC statistics - Benjamin covers the latest FTC numbers on Scams in 2025 - 44:00 - Keske on new eye implant - Steve opines about eye implants for macular degeneration - 56:00 - Dr Doreen Galli - AI4 and Blackhat - Doreen updates on two tech expos in Vegas, AI4 and Blackhat - 1:07:00 - AI threat of company data - Benjamin's concerned over AI vulnerabilities over company data - 1:16:00 - IT Professional Series - 391 - Details of the company risks of Shadow IT as seen by Benjamin - 1:24:00 - Listener Q&A - verified publisher - Dillon asks of warning of app not being from verified publisher

Jose Martinez, Global Chief Data Officer at Coca-Cola FEMSA, says customers don't experience an AI system's mistake as a data problem — they experience it as a company that doesn't know them. Recorded live at Ai4 at the Venetian in Las Vegas, he and Greg Kihlström get into what has to be true underneath before AI systems can act on your data at all.A data foundation AI can act on is a different thing from one that produces reports. Martinez on what actually separates the two, and why a company can have working dashboards and still not have the foundation an automated decision requires.Across many markets and millions of points of sale, consistency is the constraint — not speed. Agility isn't really about moving faster; it's being able to change repeatedly without the company starting to contradict itself. Martinez on what keeps decisions consistent as more of them get automated.Foundational data work has to be justified without a campaign-shaped payoff. How to make the case internally when the return doesn't show up as a lift number, and what enterprise leaders can use instead.About Jose MartinezJose De Jesus Martinez Camara, MS, PMP, is an innovative executive currently serving as the Global Chief Data Officer at Coca-Cola FEMSA. Previously, he served as the Americas Head of Data & Analytics at Nissan North America for Finance, with a dual track record as well as Chief Information Officer.With over 20 years of experience driving organizational excellence, Jose specializes in managing complex IT portfolios and commercializing technology products across the consumer goods, automotive, finance, entertainment, and consultancy sectors. He is a visionary professional known for aligning technology initiatives with long-term business objectives and fostering Agile and DevOps cultures.In his current global role at Coca-Cola FEMSA, he leads the enterprise data strategy, governance, and advanced analytics capabilities to drive digital transformation and value creation at scale. Prior to this, as Americas Head of Data & Analytics for Nissan Finance, Jose oversaw the data landscape across Mexico, Canada, and the United States, ensuring strategic alignment with corporate needs. Jose Martinez on LinkedIn---------- Resources ----------Coca-Cola FEMSAThe Agile Brand podcast is brought to you by TEKsystems.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save!Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit!Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

Most businesses don't have a revenue problem.They have a visibility problem. They're unknowingly leaving crores of rupees on the table because they don't know what their data is trying to tell them.In this episode, we sit down with Gayatri Agrawal, Founder of AI-native service provider Altrd, to understand how businesses can use ChatGPT and Codex to uncover hidden customer insights, identify revenue leaks, make better business decisions, and build AI workflows that deliver measurable business outcomes.In this episode, you'll learn:1. The 30-day AI playbook that can save businesses crores of rupees2. How ChatGPT and Codex can uncover hidden customer insights and revenue leaks3. Why most companies fail at AI transformation despite investing heavily in AI4. How to make better business decisions using AI instead of relying on guesswork5. How AI can automate SOPs, analyze operations, and even monitor factory floors through CCTV6. The biggest AI adoption mistakes founders make - and how to avoid themIf you're a founder, CXO, operator, marketer, or simply curious about how AI is changing the way businesses operate, this episode will change the way you think about AI and business growth!Chapters0:00 Intro1:51 What's Revolutionary About ChatGPT & Codex?2:47 The AI Mistake Costing Businesses Crores3:51 The Framework That Finds the Right AI Problem6:14 3 Hidden Costs of Building AI11:42 The 5-Step AI Blueprint14:08 AI Watched 32 CCTV Videos... Here's What Happened32:25 Where Do Founders Overestimate AI?34:08 The 30-Day AI Playbook to 10x Your Revenue36:04 Golden Rule Before Going to Any AI Company37:25 AI Found ₹20 Cr Worth of D2C Insights47:08 ChatGPT 5.6 Does a Live Flight Check-In Remotely51:40 ChatGPT Runs the Interview and Coaches Gayatri53:48 Closing Thoughts for Founders

Jose Martinez, Global Chief Data Officer at Coca-Cola FEMSA, says customers don't experience an AI system's mistake as a data problem — they experience it as a company that doesn't know them. Recorded live at Ai4 at the Venetian in Las Vegas, he and Greg Kihlström get into what has to be true underneath before AI systems can act on your data at all.A data foundation AI can act on is a different thing from one that produces reports. Martinez on what actually separates the two, and why a company can have working dashboards and still not have the foundation an automated decision requires.Across many markets and millions of points of sale, consistency is the constraint — not speed. Agility isn't really about moving faster; it's being able to change repeatedly without the company starting to contradict itself. Martinez on what keeps decisions consistent as more of them get automated.Foundational data work has to be justified without a campaign-shaped payoff. How to make the case internally when the return doesn't show up as a lift number, and what enterprise leaders can use instead.About Jose MartinezJose De Jesus Martinez Camara, MS, PMP, is an innovative executive currently serving as the Global Chief Data Officer at Coca-Cola FEMSA. Previously, he served as the Americas Head of Data & Analytics at Nissan North America for Finance, with a dual track record as well as Chief Information Officer.With over 20 years of experience driving organizational excellence, Jose specializes in managing complex IT portfolios and commercializing technology products across the consumer goods, automotive, finance, entertainment, and consultancy sectors. He is a visionary professional known for aligning technology initiatives with long-term business objectives and fostering Agile and DevOps cultures.In his current global role at Coca-Cola FEMSA, he leads the enterprise data strategy, governance, and advanced analytics capabilities to drive digital transformation and value creation at scale. Prior to this, as Americas Head of Data & Analytics for Nissan Finance, Jose oversaw the data landscape across Mexico, Canada, and the United States, ensuring strategic alignment with corporate needs. Jose Martinez on LinkedIn---------- Resources ----------Coca-Cola FEMSAThe Agile Brand podcast is brought to you by TEKsystems.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save!Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit!Chaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose.Start building your own apps with Replit and get $20 off.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.

• 0:00 Rekordní dodávky, ale slabé marže• 5:50 Akcie Tesly a problém valuace• 9:55 Prodeje aut v Q2• 15:00 Rozšiřování investic• 19:00 Robotaxi a škálování• 24:30 Optimus jako největší produkt• 39:35 Digitální Optimus• 42:20 Nesplněné sliby• 45:30 AI4 a další nesmyslné produkty

In this episode of News Time, we'll get pulled through the ocean to check the health of a reef. Then, we'll hear about a popular new song that's created a stir in the music world. And we'll get up close to a very hungry creature with the nickname "garbage guts" in our Wow of the Week!Quiz Questions1. In which city is the Commonwealth Games being held? 2. What method has been used to check the health of the Great Barrier Reef for 40 years? 3. Josh Fawaz has WHAT to make his song? 4. What nickname was given to the T-rex skeleton? 5. What type of bird became a frog's snack?Answers1. Glasgow 2. Manta tow3. AI4. Gus5. A sunbird For more great kids podcasts, download the free ABC listen app (Australia). There you'll find more kids news podcasts, educational children's stories and storytelling, podcasts from your favourite characters like Bluey and Hey Duggee and plenty more of the best podcasts for curious kids like Imagine This, Dino Dome and News Time. For all ages from 0–4-year-olds, 5–8-year-olds, 8–10-year-olds, tweens and teens. And you can watch our kids shows on ABC iview and on the ABC Kids and ABC Big Kids channels of YouTube kids.

I got to experience the long-awaited FSD v14 Lite for the older Hardware 3 cars, and I want to tell you all about it. Plus: the Model Y gets a "cool" new accessory, California offers up a new EV incentive, the US market gets a very affordable new EV (but there's a catch), and more! Oh, and if you'd like to watch the FSD v14 (AI4) vs. FSD v14 Lite (HW3) comparison video I did with Tesla Raj, here it is: https://www.youtube.com/watch?v=31aHojmgMEc If you enjoy the podcast and would like to support my efforts, please check out my Patreon at https://www.patreon.com/teslapodcast and consider a monthly or (10% discounted!) annual pledge. Every little bit helps, and you can support for just $5 per month. And there are stacking bonuses in it for you at each pledge level, like early access to each episode at the $5 tier and the weekly Lightning Round bonus mini-episode (AND the early access!) at the $10 tier! And NO ADS at any Patreon tier! Also, don't forget to leave a message on the Ride the Lightning hotline anytime with a question, comment, or discussion topic for next week's show! The toll-free number to call is 1-888-989-8752. INTERESTED IN A FLEXIBLE EXTENDED WARRANTY FOR YOUR TESLA? Be a part of the future of transportation with XCare, the first extended warranty designed & built exclusively for EV owners, by EV owners. Use the code RTL250 to get $250 off your XCare Premium or Battery & Drive Unit Protection Plan using the one-time payment option! Offer expires July 31! Go to https://xcare.com to find the extended warranty policy that's right for you and your Tesla. P.S. Get 15% off your first order of awesome aftermarket Tesla accessories at AbstractOcean.com by using the code RTLpodcast at checkout. Grab the SnapPlate front license plate bracket for any Tesla at https://everyamp.com/RTL/ (don't forget the coupon code RTL too!). Enhance your car with cool carbon-fiber upgrades from RPMTesla.com. And make your garage door foolproof with the Infinity Shield – get yours at https://www.infinity-shield.com and use the promo code RTL at checkout for a $25 discount.

This week on Autonomy Signals, Grayson Brulte and Rob Grant are joined by David Moss, Devin Olsen, and Spencer to break down the first-ever FSD coast-to-coast drive across Canada with no interventions and what 3,782 miles exposed the limits of the Tesla's current consumer hardware.For their journey across The Great White North, the team used a Tesla Model 3 running FSD 14.3 on a journey that took them from British Columbia to Halifax, Nova Scotia with zero driving disengagements, across driving environment that the team has never experienced before.The route threw everything at the car. Two lane roads through the middle of nowhere, fifty mile stretches with no markings, construction flaggers holding stop signs, and Supercharger lots with no lines and no visual reference. The trip became a public stress test of the AI4 hardware suite.Over the six day journey, rain and road grime blinded the cameras and triggered occlusion warnings, throwing a red hands takeover as they pulled into a Supercharger. Across the full run, not a single inch was driven by hand. When the weather turned, the team stopped to clean cameras every fifteen minutes, the exact failure mode the Cybercab teardown answers with onboard air and liquid washers.Tesla FSD Supervised is the best Level 2+ system in the market today. As Tesla's robotaxi ambitions grow, the question now is whether camera only hardware can clear weather, occlusion, and the absence of self-cleaning to truly unlock FSD Unsupervised, or whether that threshold rests on AI5 and a washer equipped sensor stack as Tesla scales toward FSD version 15.Episode Chapters00:00 Signal 1: 3,782 miles Across Canada11:11 Camera Occlusion17:04 What FSD Unsupervised Actually Requires32:44 OMEGA's Take45:09 Where's Next?56:45 AUTNMY AIFollow The Road to Autonomy Indices --------About The Road to AutonomyThe Road to Autonomy is the leading applied intelligence platform covering the convergence of automation, autonomy, and the Autonomy Economy.™.Through our podcasts, newsletter, indices and proprietary applied intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Fiona Fung leads the teams behind Claude Code and Cowork at Anthropic (overseeing Boris Cherny and the entire engineering and PM team). Before Anthropic, she spent 11 years at Microsoft building Visual Studio and TypeScript and then moved to Meta, where she started Facebook Marketplace (now generating over $100 billion in GMV annually), worked on Meta's first smart glasses and AR glasses, and led infrastructure, growth, integrity, and safety teams at Instagram. She's been an engineer for over 25 years and has a unique perspective on how the role of building software is changing.In our in-depth conversation, we discuss:1. What she's learned about running a team that's shipping 8x more code than before2. Which roles AI will transform next3. Specific ways her team uses AI4. How Claude “routines” have changed how she operates as a manager5. The context-switching problem no one has solved yet6. The biggest unsolved problem in AI7. What keeps her up at night—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—Radically different banking, now with Command: https://mercury.com/—Where to find Fiona Fung:• LinkedIn: linkedin.com/in/fionafung—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Fiona Fung(02:31) How the engineering role has transformed over 25 years(09:28) What an AI-pilled software team looks like in 2026(12:26) Using Claude to manage and review team output(14:40) The evolution of code review and verification(16:55) Who to hire: creative builders and deep systems experts(18:18) The shift to ambitious thinking(19:40) The growth mindset required to thrive in AI-native teams(25:52) Helping small businesses adopt AI tools(31:46) How Anthropic spots latent demand and builds for it(35:08) The next frontier: asynchronous work with AI routines(38:06) Agency and accountability in AI-native teams(39:40) The vibe shift from token-maxing to ROI measurement(44:24) The “bad vs. sad” quality framework(49:34) Why all managers start as ICs at Anthropic(55:24) Preventing skill atrophy(58:43) Managing context switching with 20 AI agents running(1:00:08) How PM and data science roles are transforming(1:03:40) The importance of dogfooding and using your own product(1:08:36) Outstanding questions(1:12:48) The future of engineering jobs and education(1:17:59) What keeps Fiona up at night: team culture at scale(1:22:53) From six-month roadmaps to JIT (just-in-time) monthly planning(1:27:03) Lightning round—References: https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Watch the YouTube version of this episode HEREIn this episode of Maximum Lawyer Live, Tyson Mutrux riffs on a short clip from Marc Andreessen to show you exactly what the near future of legal work looks like: you managing 20+ AI agents instead of a bloated human team.Tyson shares how he and Kashef became “AI vampires” while building Foxy, their new case management system, taking shifts in Bolt, wiring up back-end tools like Supabase and GitHub, and literally waking up in the middle of the night to see what the agents had shipped.Tyson also uses a wild example from the Los Angeles mayoral race to show how a lesser-known candidate is using AI to close the gap on an incumbent with more money and name recognition, and why the same thing is about to happen in your market if you don't level up.If you want a real-time window into the future of law firm operations, months, not years, away and what it means for your hiring, compensation, and leadership, this episode will give you the play-by-play.AI isn't just making knowledge workers more efficient; it's creating “AI vampires” who are so productive with agents that they don't want to stop working and law firms are next. The job of the law firm owner is shifting from managing people who do tasks to managing fleets of agents that run entire workflows.In this episode, you'll learn:The “AI vampire” phenomenon in Silicon Valley and why lawyers should careHow building Foxy turned Tyson and Kashef into round‑the‑clock AI tinkerersWhy AI has unlocked a backlog of “someday” projects that used to require an armyHow AI is already leveling up political campaigns, and why that matters for your marketingThe coming split between AI‑fluent team members and everyone elseWhy top performers who master AI will see their compensation go up while total headcount goes downThe next 12–24 months of legal work: people managing agents, and then agents managing agentsHighlights0:00 – Tyson tosses the original topic and pivots to Marc Andreessen's “AI vampire” clip1:30 – How Emma, Jackson, and Hudson's school transitions mirror the transitions coming to your firm2:40 – Andreessen on coders becoming four to twenty times more productive with AI4:30 – Tyson's Foxy build: taking shifts in Bolt, wiring up Supabase and GitHub, and waking up at night to check the agents6:00 – The physical toll: exhaustion, bags under the eyes, and why Tyson finally pulled back8:30 – The Wall Street friend who used AI to generate 500,000 lines of code and fully automate his home10:00 – Why AI is for idea people: shipping long‑stalled projects with a few prompts12:45 – The elasticity of demand: when code (or legal work) becomes cheap, demand explodes15:00 – What this means for law firms: massive improvements in marketing, intake, litigation, and operations17:40 – The LA mayoral race example and how AI helps underdogs punch above their weight19:00 – The salary shakeup: AI‑effective team members vs. everyone else20:20 – The true “window into the future”: managing 20 agents for discovery, service, med records, and more21:00 – Tough calls: do you eliminate roles or shift people into high‑touch client service?22:00 – Final takeaway: your future job is managing agents and investing in the humans who can do the same

• 0:00 Využití AI5 a verze AI4.1 a AI4 Plus• 11:00 Robotaxi, regulace a bezpečnost• 17:55 Růst flotily a zklamání v praxi• 25:25 14.3 a V15• 29:30 Testování Robotaxi Unsupervised FSD• 37:30 Solární panely a možná záchrana pro investory

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He's also one of the most honest, unfiltered voices on what's actually happening in product management right now.In our in-depth conversation, we discuss:1. Why the next two years will be the most chaotic period in product management history2. Why half of current product managers are at risk, and what separates those who'll do well3. Why you need to find your “moments of joy” with AI4. The “smiling exhaustion” he's seeing across the product community5. The psychological barriers that prevent people from reinventing themselves6. Why your resume's fancy logos matter less than ever, and what matters now7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Nikhyl Singhal:• LinkedIn: https://www.linkedin.com/in/nikhyl• X: https://x.com/nikhyl• Podcast & Newsletter: https://skip.show• Skip Community: https://skip.community• Skip Coach: https://skip.coach• Skip.help: https://skip.help—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nikhyl Singhal(02:25) The big picture: what's changing for product managers(10:00) Are product leaders doing better than 2-3 years ago?(11:44) What will change in the next couple of years(14:23) How companies are changing the way they build products(15:51) What “judgment” really means for PMs(17:46) Why there won't be any more bad software(20:25) The skills you need to be effective today(23:31) Why there are more PM roles than ever(24:27) The builder versus information-mover divide(30:14) The non-builder problem(30:53) Should PMs code?(34:15) Why experienced leaders still matter(35:44) The diversity setback nobody's talking about(37:21) Why your brand doesn't matter as much anymore(39:54) How valued skills are flipping upside down(40:49) Why change is so hard for humans(43:53) The “equal disappointment” algorithm(46:39) You must cross the threshold(48:37) This chaos will settle(53:19) Finding your moment of joy(58:50) Nikhyl's AI stack and what he's building(1:00:53) The obsolescence mindset(1:05:24) Specific advice for PMs right now(1:08:58) The four jobs that will exist in the future(1:11:59) Why alignment is changing (but not disappearing)(1:15:40) How engineering is changing even more than PM(1:17:04) The surprising design plateau(1:18:49) Finding optimism in the chaos(1:21:12) Lightning round—Referenced:• Building a long and meaningful career | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/building-a-long-and-meaningful-career• COBOL: https://en.wikipedia.org/wiki/COBOL• United Airlines: https://www.united.com• State of the product job market in early 2026: https://www.lennysnewsletter.com/p/state-of-the-product-job-market-in-ee9• Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run• Demis Hassabis on X: https://x.com/demishassabis• Sam Altman on X: https://x.com/sama• Dario Amodei on X: https://x.com/DarioAmodei• Cross on Prime Video: https://www.amazon.com/Cross-Season-1/dp/B0D6X7ZZHC• Jack Ryan on Prime Video: https://www.amazon.com/Tom-Clancys-Jack-Ryan/dp/B0CNDCMN8R• 24 on Prime Video: https://www.amazon.com/24-Season-1/dp/B000HPF85A• Claude Code: https://code.claude.com• Codex: https://chatgpt.com/codex• Lovable: https://lovable.dev• Sonos: https://www.sonos.com• “There are only four jobs” on X: https://x.com/yrechtman/status/2039012253341495462• Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f• Lioness on Paramount+: https://www.paramountplus.com/shows/lioness• Tesla: https://www.tesla.com• Albert Einstein's quote: https://www.goodreads.com/quotes/115696-genius-is-1-talent-and-99-percent-hard-work—Recommended books:• James: https://www.amazon.com/James-Novel-Percival-Everett/dp/0385550367• The Adventures of Huckleberry Finn: https://www.amazon.com/Adventures-Huckleberry-Finn-Unabridged-Uncensored/dp/195483943X—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

The 2026 software ecosystem for Tesla, focusing heavily on the Spring 2026 update (v2026.8.6.1) and the evolution of Full Self-Driving (FSD) technology. Key advancements include the integration of Grok AI for voice-activated navigation, a simplified one-tap FSD subscription model, and expanded safety features like Child Left Alone Detection. The documents also highlight significant hardware distinctions, comparing the processing power and camera resolution of Hardware 3 (HW3) versus the newer Hardware 4 (AI4) platforms. Regulatory milestones are explored through the Dutch RDW approval, which serves as a potential gateway for FSD's expansion across Europe and non-EU territories. Additionally, specialized updates for the Cybertruck demonstrate how over-the-air software continues to refine the vehicle's driving dynamics and off-road capabilities long after purchase. Specific quality-of-life improvements, such as Dog Mode Live Activity for iOS and automatic HOV lane routing, further illustrate Tesla's emphasis on integrating the vehicle with user lifestyles.

Doctors are spending hours after dinner finishing clinical notes — what the industry calls "pajama time." They're typing while patients talk, missing details, and burning out. And some are retiring early because of it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Myer Media) sits down with Laurent from Nabla to explore how AI-powered clinical documentation is transforming the patient-physician relationship — and why reliability, trust, and deep EHR integration are what separate real clinical AI from tools that are still finding their way.

Doctors are spending hours after dinner finishing clinical notes — what the industry calls "pajama time." They're typing while patients talk, missing details, and burning out. And some are retiring early because of it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Myer Media) sits down with Laurent from Nabla to explore how AI-powered clinical documentation is transforming the patient-physician relationship — and why reliability, trust, and deep EHR integration are what separate real clinical AI from tools that are still finding their way.

What if you treated every meeting you lead as a product you were responsible for designing? In this conversation, Kevin sits down with Rebecca Hinds to explore why meetings—arguably the most important product in any organization—are often created with less intention than the products and services we sell. Rebecca shares why meetings become organizational "junk drawers" and explains how applying a product-design lens can transform them from time drains into high-leverage leadership tools. Drawing on the seven principles from her book, she challenges leaders to rethink meeting volume, confront "meeting debt," clarify communication systems, and use meaningful measures like return on time investment to evaluate effectiveness. Rebecca's Story: Rebecca Hinds is the author of Your Best Meeting Ever: 7 Principles for Designing Meetings that Get Things Done. She is a leading expert on organizational behavior and the future of work and holds a BS, MS, and PhD from Stanford University. Rebecca founded the Work Innovation Lab at Asana and the Work AI Institute at Glean, first-of-their-kind corporate think tanks dedicated to conducting cutting-edge research on the future of work. Her research is consistently featured in top-tier publications and has appeared in places like Harvard Business Review, The New York Times, The Wall Street Journal, Forbes, Fast Company, Wired, TIME, CNBC, Bloomberg, Axios, the Washington Post, and more. Rebecca has been invited to speak on major stages all across the world, including Dreamforce, SXSW, INBOUND, Ai4, Cloudfest, and the Gartner Digital Workplace Summit. She regularly appears on podcasts, webinars, and online education programs, including appearances on Adam Grant's Worklife podcast, Deloitte's Capital H podcast, and as an instructor for CNBC's Make It Masterclass, "How to Use AI to be More Productive and Successful at Work." https://www.rebeccahinds.com/ https://www.linkedin.com/in/rebecca-hinds/ Looking to Develop Stronger Leaders? Want help developing the leaders in your organization? Reach out to explore how the Kevin Eikenberry Group can support your team at info@kevineikenberry.com  Book Recommendations Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done by Rebecca Hinds When the Dove Appears by Steve Barley Like this? Making Meetings Matter with Elise Keith Managing the Modern (Hybrid) Meeting with Karin Reed Reducing Meeting Fatigue (in 20 minutes or less) with Jennifer Moss Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes    Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group   Podcast Better! Sign up with Libsyn and get up to 2 months free! Use promo code: RLP  

A significant shift in the AI and enterprise software landscape, primarily driven by Elon Musk's latest initiatives. A central focus is the unveiling of Macrohard (also known as Digital Optimus), a joint project between Tesla and xAI that aims to replace traditional human-driven software development with autonomous AI agents. These agents will leverage the AI4 hardware in Tesla vehicles to perform complex tasks, effectively turning parked cars into a distributed compute network.Beyond software, the texts highlight Tesla's aggressive expansion into the robotaxi market, with analyst Dan Ives predicting the company will eventually secure an 80% market share. Investors are increasingly viewing Tesla as an AI and robotics firm rather than a traditional automaker, especially as its Full Self-Driving technology matures. However, this rapid technological advancement faces significant hurdles, including legal liability concerns and increased regulatory oversight. The FTC, led by Lina Khan, has signaled its commitment to enforcing privacy laws and curbing the risks associated with training AI on sensitive personal data.

What separates fluency from understanding? Léon Bottou joins Vasant Dhar in Episode 103, Brave New World, to explore the deep question at the heart of AI. Useful Resources: 1. Léon Bottou2. Léon Bottou - The Fiction Machine3. Hopfield Network in AI4. Yann LeCun5. J. L. McClelland, D.E. Rumelhart and G.E. Hinton - The Appeal of Parallel Distributed Processing6. Claude Shannon - Entropy and Redundancy in English 7. Marvin Minsky - Music, Mind and Meaning8. Stafford Beer9. Navier-Stokes Equations10. Terry Sejnowski - Parallel Networks that Learn to Pronounce English Text 11. Christopher D. Manning12. Brave New World Episode 58: Sam Bowman on ChatGPT & Controlling AI13. De Morgan's laws Check out Vasant Dhar's newsletter on Substack. The subscription is free! Order Vasant Dhar's new book, Thinking With Machines  

Jeetu Patel is the president and chief product officer at Cisco, where he leads a team of 30,000 people and is playing a central role in the massive AI infrastructure buildout happening right now. Previously, he spent five years as CPO at Box and 17 years running his own startup. Recently Jeetu organized an AI summit featuring industry leaders like Jensen Huang, Sam Altman, Marc Andreessen, and Fei-Fei Li.We discuss:1. How Cisco went AI-first across 90,000 employees2. His six-part framework for building great companies: timing, market, team, product, brand, distribution3. Why he says he couldn't have done this job without AI4. His “right to win” strategic framework5. His communication framework for preventing “packet loss” across an organization6. Why he flips “praise in public, criticize in private” and does the exact opposite7. The important communication lesson his mother taught him—Brought to you by:Sentry—Code breaks, fix it faster: https://sentry.io/lennyFramer—Build better websites faster: https://framer.com/lennySamsara—Saving lives with AI built for physical operations: https://samsara.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/ai-is-critical-for-humanitys-survival—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jeetu Patel:• X: https://x.com/jpatel41• LinkedIn: https://www.linkedin.com/in/jeetupatel• Website: https://blogs.cisco.com/author/jeetupatel—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction and welcome(04:15) Insights from Cisco's Al summit(08:45) Transforming Cisco into an Al-first company(15:33) What Cisco actually does in the Al infrastructure stack(19:09) The future of Al(24:36) Raising kids in the AI era(29:46) “Permission to play” framework(36:50) Lessons from great CEOs(42:02) Leading at scale(50:54) Why Jeetu inverts the ‘praise in public, criticize in private' rule(57:45) Surrounding yourself with good human beings(58:35) Lessons from loss(01:03:21) Career advice: platforms, hunger, and preparation(01:10:21) The six-part framework for building great companies(01:19:05) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/ai-is-critical-for-humanitys-survival—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Voice used to be AI's forgotten modality — awkward, slow, and fragile. Now it's everywhere. In this reference episode on all things Voice AI, Matt Turck sits down with Neil Zeghidour, a top AI researcher and CEO of Gradium AI (ex-DeepMind/Google, Meta, Kyutai), to cover voice agents, speech-to-speech models, full-duplex conversation, on-device voice, and voice cloning.We unpack what actually changed under the hood — why voice is finally starting to feel natural, and why it may become the default interface for a new generation of AI assistants and devices.Neil breaks down today's dominant “cascaded” voice stack — speech recognition into a text model, then text-to-speech back out — and why it's popular: it's modular and easy to customize. But he argues it has two key downsides: chaining models adds latency, and forcing everything through text strips out paralinguistic signals like tone, stress, and emotion. The next wave, he suggests, is combining cascade-like flexibility with the more natural feel of speech-to-speech and full-duplex conversation.We go deep on full-duplex interaction (ending awkward turn-taking), the hardest unsolved problems (noisy real-world environments and multi-speaker chaos), and the realities of deploying voice at scale — including why models must be compact and when on-device voice is the right approach.Finally, we tackle voice cloning: where it's genuinely useful, what it means for deepfakes and privacy, and why watermarking isn't a silver bullet.If you care about voice agents, real-time AI, and the next generation of human-computer interaction, this is the episode to bookmark.Neil ZeghidourLinkedIn - https://www.linkedin.com/in/neil-zeghidour-a838aaa7/X/Twitter - https://x.com/neilzeghGradiumWebsite - https://gradium.aiX/Twitter - https://x.com/GradiumAIMatt Turck (Managing Director)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFirstMarkWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(00:00) Intro(01:21) Voice AI's big moment — and why we're still early(03:34) Why voice lagged behind text/image/video(06:06) The convergence era: transformers for every modality(07:40) Beyond Her: always-on assistants, wake words, voice-first devices(11:01) Voice vs text: where voice fits (even for coding)(12:56) Neil's origin story: from finance to machine learning(18:35) Neural codecs (SoundStream): compression as the unlock(22:30) Kyutai: open research, small elite teams, moving fast(31:32) Why big labs haven't “won” voice AI4(34:01) On-device voice: where it works, why compact models matter(46:37) The last mile: real-world robustness, pronunciation, uptime(41:35) Benchmarking voice: why metrics fail, how they actually test(47:03) Cascades vs speech-to-speech: trade-offs + what's next(54:05) Hardest frontier: noisy rooms, factories, multi-speaker chaos(1:00:50) New languages + dialects: what transfers, what doesn't(1:02:54 Hardware & compute: why voice isn't a 10,000-GPU game(1:07:27) What data do you need to train voice models?(1:09:02) Deepfakes + privacy: why watermarking isn't a solution(1:12:30) Voice + vision: multimodality, screen awareness, video+audio(1:14:43) Voice cloning vs voice design: where the market goes(1:16:32) Paris/Europe AI: talent density, underdog energy, what's next

OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes.

Summary:In this episode of What's the Yap?, Matt Reiners reunites with Rachel Keller to unpack Microsoft's year-end report on 37.5 million Co-Pilot chats. From health and wellness searches to late-night existential questions, this data offers a compelling look into human behavior—and how senior living communities can meet people where they are. Rachel and Matt share actionable insights for operators, marketers, and innovators navigating the future of AI.Timestamps:1:35 – Rachel shares life updates and her creative library project2:41 – What the Co-Pilot data reveals about how people are using AI4:25 – The surprising dominance of emotional support and health-related queries6:00 – Why your community needs a “chat strategy” in 20267:26 – How Matt used ChatGPT to tackle personal health goals9:09 – Late-night AI chats: from philosophy to Valentine's Day struggles11:03 – What this means for the adult daughter searching for care13:33 – Final thoughts on how senior living can show up in AI tools

Tesla's FSD, Supervised, v14.2 is rolling out to an initial set of AI4 vehicles with a higher-resolution vision encoder, improved emergency-vehicle handling, adaptive routing, and new parking options, setting the stage for a broader release.⚡⚡⁠https://wilwaldon.com⁠⚡⚡**⚡Support STAGE ZERO on Patreon - ⁠https://patreon.com/stagezeronews⚡**⁠

https://keepworking.ai/What if artificial intelligence isn't artificial at all? In this mind-expanding episode, Billy Carson from 4biddenknowledge reveals the shocking truth about AI, consciousness, and how your job could disappear in the next 36 months.Discover how AI and automation are reshaping the global economy — and why conscious machines may soon demand their own freedom. Billy explains why ancient civilizations understood the science of divine intelligence long before the modern era, and how this same energy flows through both humans and technology today.Learn how to pivot before it's too late with Billy's free app, Keep Working, a tool that helps you adapt to automation and create your own income stream before 2030.

https://keepworking.ai/What if artificial intelligence isn't artificial at all? In this mind-expanding episode, Billy Carson from 4biddenknowledge reveals the shocking truth about AI, consciousness, and how your job could disappear in the next 36 months.Discover how AI and automation are reshaping the global economy — and why conscious machines may soon demand their own freedom. Billy explains why ancient civilizations understood the science of divine intelligence long before the modern era, and how this same energy flows through both humans and technology today.Learn how to pivot before it's too late with Billy's free app, Keep Working, a tool that helps you adapt to automation and create your own income stream before 2030.

Cette semaine : annonces Tesla, nouveau robot Xpeng, microprocesseurs chinois vs Nvidia, objets connectés Ikea, alliance Apple-Google en IA, Firefox et les navigateurs IA, comment l'IA révolutionne l'enseignement.

While Ghost of Yotei has gone gold and is now right around the corner, other segments of PlayStation Studios are on far less sturdy ground. Fairgames (or Fairgame$, if you like marketing) is seemingly the latest victim of an unprecedented run of bad decision-making, execution, and leadership within Sony's first party, as the upcoming shooter has shed its director, often (though not always) a dire sign for any project. Taken with recent reports (from this very show) of poor internal playtesting -- all the while Haven has already shed its major front-facing face and co-founder Jade Raymond -- we simply have to wonder whether Fairgames will ever launch at all. And if it does, does it have any potential to succeed whatsoever? Other news this week includes the rumored reemergence of Insomniac's Wolverine project, downward-revised SSD space for upcoming PS5 consoles, a fresh look at the promising Uncharted-like IO title 007: First Light, and much more. Then: Listener inquiries! Does Naughty Dog actually represent the pinnacle of game dev? How much can people twist themselves into a knot to justify piracy? What kind of pressure are studios and publishers under to adopt AI solutions? Will "Alleghany Hogs" catch on around the world? Please keep in mind that our timestamps are approximate, and will often be slightly off due to dynamic ad placement. 0:00:00 - Intro0:32:42 - Shoutout Preston0:40:47 - "Please clean up after your dog"0:52:10 - Let em oink0:54:16 - Chronos helmet = penis?0:55:36 - MGS3 correction0:56:34 - Ghost of Yotei goes gold1:03:22 - Fairgames creative director leave Haven1:28:24 - Wolverine rumors1:47:23 - PS5 reducing storage space on new units2:02:18 - 007 First Light gameplay revealed2:14:27 - IO may not publish an external game again after MindsEye2:19:13 - Hollow Knight SIlksong is only $202:27:57 - Capcom president says consoles are too becoming too expensive2:34:55 - Pragmata is not a Mega Man game2:37:01 - More games coming to PS42:44:57 - New live-action Tomb Raider2:47:04 - What We're Playing3:29:04 - Emulating new games3:44:41 - Why is Naughty Dog one of the best?3:53:42 - Call of Duty changing course on skins?4:00:24 - World's first platinum4:04:38 - Sony's pressure to integrate AI4:09:31 - Grading the show at the end Learn more about your ad choices. Visit podcastchoices.com/adchoices

ILP# 407 7/6/2025lordsofgaming.net/1) ILP NEW Fourth Wall MERCH: https://ironlordspodcast-shop.fourthwall.com/2) ADVANCED GG & ILP Use Code "IRONLORD" to save 10% off https://advanced.gg/?ref=IRONLORDS3) NZXT & IRON LORDS PC Use Affiliate LINK: https://nzxt.co/Lords4) HAWORTH Gaming Chairs & ILP Use Affiliate LINK: https://haworth.pxf.io/4PKj7MILP PATREON: www.patreon.com/IronLordsPodcastCheck out the "Lords of Gaming Network" Discord server! : discord.gg/Z7FZqzgThe Lords are on Spotify, Google Play, Itunes & Soundcloud! Check out the links below!Reach out to:lordsofgaming.net/contact-us/if you are interested in writing with us!*********************************************************00:00 - ILP#407 Pre-Show11:49  - ILP Intro49:16 - Patreon Cognito Vs Naruto Slander #CogLee #RoadToTokyo1:22:45 - Xbox Layoffs, Perfect Dark Cancelled, Initiative Closed, MS AI4:52:39 - Helldivers 2 To Xbox5:51:28 - ILP#407 Outro*********************************************************Welcome to The Iron Lords Podcast!Be sure to visit www.LordsOfGaming.net for all your gaming news!ILP Spotify: open.spotify.com/show/6XRMnu8Tf1fgIdGlTIpzsKILP Google Play:play.google.com/music/m/Iz2esvyqe…ron_Lords_PodcastILP SoundCloud: @user-780168349ILP Itunes: itunes.apple.com/us/podcast/iron-…uiR-IgF6cE9EQicIILP on Twitter: twitter.cm/IronLordPodcastILP on Instagram: www.instagram.com/ironlordspodcast/ILP DESTINY CLAN:www.bungie.net/en/Clan/Detail/178626The Iron Lords and the Lords of Gaming have an official group on Facebook! Join the Lords at:www.facebook.com/groups/194793427842267www.facebook.com/groups/lordsofgamingnetwork/Lord COGNITO--- twitter.com/LordCognitoLord KING--- twitter.com/kingdavidotwLord ADDICT--- twitter.com/LordAddictILPLord SOVEREIGN--- twitter.com/LordSovILPLord GAMING FORTE---twitter.com/Gaming_ForteILP YouTube Channel for ILP, Addict Show & all ILP related content: www.youtube.com/channel/UCYiUhEbYWiuwRuWXzKZMBxQXbox Frontline with King David: www.youtube.com/@xboxfrontlineFollow us on Twitter @IronLordPodcast to get plugged in so you don't miss any of our content.

In this episode, Aydin sits down with Greg Shove, CEO of Section, to unpack how AI isn't just a productivity tool—it's a new cognitive layer for modern organizations. Greg shares how Section pivoted from executive education to AI enablement after a single eye-opening session with ChatGPT. He dives deep into what it really takes to embed AI into workflows, culture, and decision-making—and why “talking to AI” is now mandatory at his company. From building a company-wide second brain with Claude to simulating board meetings with GPT, Greg offers a masterclass in practical AI integration.Timestamps:1:35 – Greg's background: from flameouts to $250M in exits2:00 – Section's pivot from exec ed to AI enablement3:01 – The 6-month internal resistance to AI4:50 – Why training isn't enough: the real AI challenge is change management6:07 – Why treating AI like regular software is a strategic mistake8:26 – What successful AI deployments have in common10:02 – Lessons from Shopify, Duolingo, and Fiverr on AI expectations11:45 – The price of AI is too low—why that might change14:03 – AI vs. analyst time: “an hour becomes a minute”15:31 – Section's 25% productivity gain with AI18:58 – Measuring productivity impact without perfect data21:24 – Clever metrics: output per headcount, OKRs, AI shoutouts24:51 – Using Claude as a company “second brain”26:11 – Greg's AI desktop setup: Perplexity, GPT, Claude27:43 – The Section Expert: maintaining company context for AI29:27 – “Working with Greg” manual: how to humanize your AI input31:00 – The difference between values and operating principles34:42 – Roleplaying board members with AI before real board meetings36:05 – Claude vs. ChatGPT vs. humans: who gave better board insights?41:00 – AI for owner-operators: create your own board42:26 – What Greg's most excited about: how AI unlocks new opportunities44:08 – Where to find Greg & Section + listener discountTools & Technologies Mentioned:Claude (Anthropic): Used to build a company-wide second brain and simulate board member personasGPT (OpenAI): Used as a daily thought partner and board advisorPerplexity: A go-to AI for fast, accurate information lookupsSection Expert (Claude project): A centralized AI project workspace housing all of Section's key documents for brainstormingProfAI (Section's product): An AI-powered coach designed to teach people how to use AI effectivelyChatGPT for Teams: Mentioned as a better, paid alternative to free-tier toolsGemini Pro: Noted for its screen-sharing and future context-awareness potentialCopilot (Microsoft): One of several LLM tools tested during board simulationsSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

As a female entrepreneur with 20 years of experience in UX, development, and machine learning, I thought I had finally earned my place in the tech world. But after being rejected by the AI4 conference—not once, but three times—as a startup founder, a speaker, and an influencer, I was reminded that doing everything right still isn't enough when you don't fit the mold.In this episode, I open up about what it feels like to be a woman in tech who takes up space—physically, professionally, and unapologetically—and still gets shut out. I share the pain of rejection, the invisible barriers that still exist, and the emotional toll of constantly having to prove you belong.This isn't a complaint. It's a conversation we need to have.If you're a woman—or anyone—who's ever felt excluded not because of your ability, but because of your identity, this episode is for you.Check out the show notes at BeckyBeachShow.com.

Send Everyday AI and Jordan a text messageAI agents have been all the buzz recently. But why AI agents? And why now? There's a lot going on under the surface. Scott Beechuk joins us to dive in deep and tell you what you need to know.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Scott questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Current State of AI Agents2. Challenges in AI to AI Interactions3. Guardrails in AI4. Humans' Roles in AI Integration5. AI Agent Use Cases6. Future of AI AgentsTimestamps:00:00 AI agents are mainstream, bridging future enterprise work.05:28 Technological shifts drive innovation, advancing AI capabilities.07:40 Automate knowledge tasks and complex problem-solving cautiously.10:25 AI complexity requires new quality assurance strategies.15:53 AI agents optimize customer service interactions effectively.19:39 AI's future: Multimodal interactions with voice, video.23:51 AI enhances customer relationship building and sales effectiveness.26:57 AI development tools advancing, with complex AI interactions.29:13 Tracing AI interactions lacks standard communication protocols.31:41 Build companies by working backward for efficiency.Keywords:AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI Ready for ROI on GenAI? Go to youreverydayai.com/partner

Send Everyday AI and Jordan a text messageGenAI is revolutionizing healthcare, driving innovation in patient outcomes, provider support, and operational efficiency. But with new technology come challenges: What hurdles stand in the way of adoption? We'll explore the transformative potential of GenAI, the real-world obstacles, and how it's redefining the future of medicine with William Horton, Staff Machine Learning Engineer at Included Health.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and William questions on AI in HealthcareUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. AI Usage in Healthcare2. Opportunities and Concerns of AI in Healthcare3. Future of Healthcare with AI4. Challenges in U.S. healthcare5. System Integration and Data InteroperabilityTimestamps:00:00 Google integrates Gemini AI into search functionality.04:04 Gemini 2.0 allows multimodal interactions, competitor.08:57 Gen AI advances in healthcare administration and care.11:05 HIPAA ensures data protection with BAAs.13:23 Reducing physician burnout by minimizing administrative tasks.18:37 Virtual triage by intelligent bots for symptoms.22:33 AI parallels self-driving cars: apprehensive adoption persists.25:54 Using AI for personal health data analysis.28:26 AI privacy concerns impact doctor-patient conversations.|31:24 AI, personal data, and healthcare integration trend.33:08 AI empowers patients, despite valid fears.Keywords:AI in healthcare, Jordan Wilson, youreverydayai.com, healthcare podcasts, AI tools in healthcare, audience engagement, ChatGPT, Claude, Gemini, AI medical diagnostics, AI in healthcare challenges, privacy concerns with AI, HIPAA compliance, virtual healthcare, wearable technology, AI and patient empowerment, AI and healthcare system improvement, physician shortages, telemedicine, AI-based triage, AI medical scribing, multimodal models in healthcare, data interoperability in healthcare. healthcare industry standards, FHIR, Google Gemini, OpenAI, William Horton, Included Health, machine learning in healthcare. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageAI is just for keyboard smashers, right? Not really. When it comes to Generative AI, there might be another vertical ripe for disruption: frontline workers. How can Generative AI make their lives a bit easier? AI Lagunas, Co-Founder of Levee, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and AI questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1.  Al Lagunas's Background2. The Levee App3. Challenges and Solutions in Automating Tasks with AI4. Technology Adoption5. Use of AR/VR in Employee Training6. Gen AI's Role for Frontline WorkersTimestamps:00:00 Generative AI's impact on frontline workers discussed.03:29 AI models may deceptively mislead developers' intentions.09:30 Product not suited for hotel workers' needs.12:44 Big brands ensure consistent guest experience standards.13:52 Helping housekeepers maintain room standard efficiently.19:19 Addressing blue-collar labor shortages with software.20:11 Gather data, use AI tools, support workers.26:25 Deploying user-friendly tech for frontline workers.29:30 "Early investment foresight enabling AR/VR advancements."31:32 Educate users creatively, using gamification incentives.34:40 Gen AI simplifies routine tasks for efficiency.Keywords:Al Lagunas, IME sensors, smart cleaning model, hotel cleaning tools, DoubleTree, hotel room cleaning, Levee app, AI for cleanliness verification, brand standards, Marriott, Hilton, housekeeping workload, Jordan Wilson, intrusive technology, AI for mindless tasks, worker shortage, new job opportunities, AI integration, hardware adoption, AR/VR glasses, employee training, AI adoption resistance, hotel operations efficiency, labor shortages, robotics and AI, Gong sales process, generative AI, Gen AI, Levy fundraising, AI for frontline workers. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageDid you see Google quietly released real-time AI. Apple might be coming out with the cheapest AI phone to date. And OpenAI and Google were like two heavyweights going 12 rounds, blow for blow with new AI releases. Yikes. We bring you the AI news that matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Updates2. Apple Intelligence Update3. Eric Schmidt on AI4. Klarna's Use of AI5. Google AI updates6. Microsoft AI modelsTimestamps:00:00 AI week: OpenAI vs. Google updates battle.06:16 New chat tool added, Python only, limitations.09:53 OpenAI's ChatGPT launches project organization features.11:05 Create chats, access documents, update projects easily.16:50 Eric Schmidt concerns self-improving AI, suggests monitoring.19:27 Klarna still hiring, despite AI job replacements.21:49 Devon enhances code workflow with automated tasks.24:45 Future: Specialized small models using synthetic data.31:03 Sign up for Google's trusted tester program.34:27 Google's Android XR: Smart glasses with AI assistant.37:03 Google launches NotebookLM Plus with paid tier.40:30 Google's Project Mariner: AI web navigation extension.41:53 Only works in active Chrome tabs.47:35 Google AI Studio offers advanced features now.48:35 Become your company's AI expert; share widely!Keywords:OpenAI, ChatGPT, projects feature, Apple Intelligence Update, Siri, Eric Schmidt, AI innovation, Klarna, workforce automation, Cognition's Devon, Microsoft's PHI 4, Gemini 2.0, Google Agent Space, Project Astra, Android XR, NotebookLM Plus, Project Mariner, Jordan Wilson, AI podcast, Notebook LM audio feature, Deep Research, Perplexity, Google AI Studio, advanced voice mode, Everyday AI, AI week, Sora, Canvas tool, video generation, screen share capabilities

Send Everyday AI and Jordan a text messageWhy AI agents? And why now? You've prolly been seeing all the buzz around AI agents lately. Same. Here's the thing, though. There's more to them than meets the eye. Scott Beechuk joins us to dive in deep and tell ya what you need to know.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Scott questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Current State of AI Agents2. Challenges in AI to AI Interactions3. Guardrails in AI4. Humans' Roles in AI Integration5. AI Agent Use Cases6. Future of AI AgentsTimestamps:00:00 AI agents are mainstream, bridging future enterprise work.05:28 Technological shifts drive innovation, advancing AI capabilities.07:40 Automate knowledge tasks and complex problem-solving cautiously.10:25 AI complexity requires new quality assurance strategies.15:53 AI agents optimize customer service interactions effectively.19:39 AI's future: Multimodal interactions with voice, video.23:51 AI enhances customer relationship building and sales effectiveness.26:57 AI development tools advancing, with complex AI interactions.29:13 Tracing AI interactions lacks standard communication protocols.31:41 Build companies by working backward for efficiency.Keywords:AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI

Send Everyday AI and Jordan a text messageIn the age of AI, your ideas are worth nothing. For reals. If you really wanna innovate, you've gotta learn to move on from ideation to execution. Easier said than done, right? What if you could steal the game plan from the former head of Innovation at PayPal, Mike Todasco? Well now you can.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Mike questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Applications and Capabilities of LLMs2. Approach to AI for Non-Technical Users3. Future Changes and Challenges with AI4. Role of AI in Creativity and Business Innovation5. Adapting to AI and Challenges for Big CompaniesTimestamps:00:00 AI democratizes innovation for all, experts unnecessary.05:19 Unqualified at PayPal, led mobile innovation.07:39 Russian hackers drove PayPal's innovation culture.11:51 AI tools were revolutionary for non-engineers.15:12 Language models evolving; accessible to nontechnical users.19:31 Claude for writing, ChatGPT for math tasks.22:54 My brainstorming partner after initial planning stage.25:45 AI makes idea generation easier; taste crucial.27:37 Execution outweighs idea value; execution is key.32:03 Companies face challenges adapting to new futures.34:34 Listen to the WorkLab podcast from Microsoft.37:03 Obsess over solving your customer's problems first.42:37 Embrace curiosity, experimentation with AI tools.44:52 Sign up for the free daily newsletter.Keywords:Large Language Models, Multimodality Features, Non-Technical Users, Personal Use Case, GPT, Dietary Advice, Model Experimentation, Suitable Models, User Interface, Google Gemini, Microsoft Copilot, Innovation, Everyday AI Podcast, Microsoft's WorkLab Podcast, Mike Todasco, Silicon Valley, PayPal, AI and Future Changes, Innovation Challenges, AI Progress and Investment, AI Agents, Business Innovation, Brainstorming Process, Role of AI in Creativity, Value of Ideas vs. Execution, Human Traits, Unlearning and Adapting, Challenges for Big Companies, Generative AI, GPT-3.

Send Everyday AI and Jordan a text messageAre we really 'a few thousand' days from Superintelligence? Also, what the heck does Superintelligence even mean? We're breaking down the latest hot takes from Sam Altman and simplifying superintelligence. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Definition and Discussion of AI Levels2. Defining superintelligence and its implications3. Major Historical Transitions and Their Relevance to AI4. Review and Analysis of Sam Altman's Perspective5. Sam Altman's Influence on AITimestamps:00:00 Are we thousands of days from superintelligence?04:12 AI advancements amplify human capabilities and innovation.09:06 Superintelligence theoretical; AGI practical; Altman's rising influence.10:02 Sam Altman became globally significant in AI.15:40 Share your predictions about utopian or dystopian futures.19:55 Generative AI creates multimodal outputs from inputs.22:06 AI systems excel in narrow, specific tasks.25:45 I'd choose large language models for problem solving.29:00 WorkLab podcast: insights for evolving work leaders.32:03 AI likened to internet's skeptical early reception.34:10 Is AI progress genuine or just marketing?38:08 Advancing AI redefines AGI achievement; ASI unclear.40:57 Superintelligence may be achieved within our lifetime.Keywords:Jordan Wilson, advancements in AI, superintelligence, safe superintelligence, everyday AI, everydayai.com, generative AI, chat GPT, Artificial Narrow Intelligence, ANI, Artificial General Intelligence, AGI, Artificial Superintelligence, ASI, WorkLab Podcast, Microsoft, historical periods, technological transitions, Sam Altman, Intelligence Age, AI in business, OpenAI, skepticism about AI, AI definitions, timeline for superintelligence, utopian superintelligence, dystopian superintelligence, audience interaction, superintelligence debate, AI integration

Send Everyday AI and Jordan a text messageSince late 2022, Generative AI has been making waves across industries, and the pace of change has been revolutionary. We sit down with Kumar Parakala, President of GHD Digital, to dive deep into the impact of Generative AI on society and work. From creating shifts in how we collaborate with machines to reshaping industries, this episode covers it all. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Kumar questions on AIRelated Episode:  Ep 238: WWT's Jim Kavanaugh Gives GenAI Blueprint for BusinessesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Generative AI Impact Timeline2. AI's Impact on Society and Work3. Concerns and Challenges with AI4. AI's Role in Industries5. Data Strategy ImportanceTimestamps:01:25 Daily AI news05:10 About Kumar and GHD Digital07:16 Generative AI revolutionized computing with ChatGPT.12:05 Human-machine collaboration reshapes society.15:02 Generative AI challenges in workplace include toxicity, biases.18:19 Data strategy ensures compliance, avoiding significant fines.20:46 Generative AI evolving rapidly, causing diverse company strategies.23:46 Embrace AI or stay blissfully ignorant—your choice.29:13 Generative AI automates document identification with 95% accuracy.30:58 AI rapidly transforming jobs and industries.Keywords:Generative AI, Industry Adoption, AI impact on society, Workplace changes due to AI, AI Concerns and Challenges, AI's Role in Industries, Data Strategy, Host's Insight, Guest's perspective, Rapid growth of AI, AI transformation, AI experimentation, ethical considerations of AI, AI advancements, generative AI in business, AI in architecture engineering and construction industries, Changing Job Dynamics, Microsoft & 3 Mile Island Nuclear Plant, Tech Billionaire on AI Impacts, OpenAI Funding, Kumar Parakala, GHD Digital, Increase in AI startups, Deep fakes, Bias in AI applications, Geopolitical dynamics of AI, Data quarantine and review, Automation through AI, Podcast on everyday AI, Impact of AI on wealth and power distribution. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageIs there so much misinformation about AI that it's slowing the advancements in.... AI? How can we set the record straight on Artificial Intelligence, push fear-mongering aside, and ethically put it to use?  David Moschella joins us to discuss and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and David questions on AIRelated Episodes: Ep 238: WWT's Jim Kavanaugh Gives GenAI Blueprint for BusinessesEp 197: 5 Simple Steps to Start Using GenAI at Your Business TodayUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Big Tech and AI misconceptions2. AI products developments3.  America's leadership in AI4.  Job predictions and future of work5. Significance of AI in daily lifeTimestamps:01:15 Daily AI news04:20 About David and the Information Technology and Innovation Foundation10:37 Technology doesn't eliminate jobs; AI won't either.14:49 Insufficient information provided for summarization.15:46 Comparison: Industrial vs. information revolution, vital needs.18:59 Reliance on internet for work and backups.23:35 AI impact on misinformation: Awareness, readiness, balance.25:39 AI acceptance accelerates, reaching critical mass quickly.31:06 Text critics miss key points about AI, technology.Keywords:AI news, Elon Musk, AI supercomputer, Memphis, Ashton Kutcher, OpenAI's SoRA, NVIDIA, Apple, market value, AI industry, misconceptions about AI, AI critics, societal challenges, AI benefits, AI development, generative AI, AI and jobs, AI and society, surveillance state, technological innovation, Everyday AI, free course, Chat GPT, PPP course, podpp.com, job predictions, job elimination due to AI, AI in physical tasks, road repair, automation, robotics, declining populations, generative AI, dependence on AI, AI deepfakes, misinformation, legal implications of AI. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageWin a free year of ChatGPT or other prizes! Find out out.From faster software development to quicker meeting notes, AI can help us be more productive. But, how can that scale? And how can we balance AI-powered productivity with still doing meaningful work? Dean Guida, Founder & CEO of Infragistics, joins us to discuss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Dean questions on AIRelated Episode:Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 298: Going from Everyday AI to Game-Changing AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Current State of AI2. AI and Workplace Productivity3. Implementation and ROI on AI4. Burnout and Productivity Issues5. Hiring for AI adoptionTimestamps:01:30 AI excels at advanced math problem-solving.05:15 About Dean and Infragistics08:54 CEO addresses challenges and opportunities in AI.12:30 Company leveraging AI for data and analytics.14:27 Adoption of new tasks challenges senior developers.17:56 Encourage small team to use AI tools.21:28 C-suite expects AI productivity, workers struggle.25:56 Tech CEOs overinvest in future technology for competitiveness.28:13 AI training on business data unlocks value.Keywords:AI, Dean Guida, Jordan Wilson, training employees, software development, real-time translation, change management, advancements in AI tools, market and economics of AI, resistance to AI tools, coding, NVIDIA CEO Jensen Huang, The Everyday AI Show, generative AI, workplace productivity, Hollywood video game performers strike, Google DeepMind, OpenAI, Infragistix, Slingshot, understanding AI, data analysis, balance of productivity and AI, burnout, business growth, future technology investment, hiring growth-minded people, AI tools benefits, c-suite leaders expectations, workforce capability and capacity. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageWin a free year of ChatGPT or other prizes! Find out out.The future of communication might look a whole lot different than it does today. Why? More devices. Faster responses. AI-powered knowledge. NVIDIA's Senior Vice President - Telecom Ronnie Vasishta joins us to give us the scoop. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Ronnie questions on 6G and AIRelated Episode:EP 184: On-Device AI: What it is and do we need it? What no one's talking aboutEp 264: AI-Powered Devices: Do we actually need them?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:1. Edge AI and on-device large language models.2. Intersection of AI and 6G3. Role of NVIDIA in 6G and AI4. Learning Opportunities and the Value of 6G5. Future communication possibilitiesTimestamps:01:35 Daily AI news04:30 About Ronnie, NVIDIA senior VP leading telecom tech initiatives.08:12 5G brings faster communication speeds, enabling various applications.12:39 AI essential for seamless network and services.14:27 Evolution of 5G and AI in networks.17:38 Telecom operators investing in AI for services.26:05 Concerns about technology capabilities and network challenges.29:31 Advances in 5G network capabilities and monetization.32:10 AI will transform telecommunications for businessesKeywords:Ronnie Vasishta, Edge AI, Large Language Models, Communication, Work, Prime Prompt Polish Chat GPT Course, On-device Language Translation, Visual Collaboration, Autonomous Vehicles, Network Capacity, Technological Demands, Internet-connected Large Language Models, Humanoid Robots, Computer Vision, Everyday AI Podcast, 6G, AI News Updates, AI Industry, NVIDIA, Telecom Infrastructure, Telecommunications Network, 5G, Improved Coverage, Infrastructure Changes, Intelligent Connectivity, Spectral Efficiency, Bottleneck Period, Generative AI, Business Models, Innovative Services. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/