Podcasts about Coding

Sourcegraph's CTO just revealed why 90% of his code now comes from agents—and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore—it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time. Resources:Follow Beyang Liu on X: https://x.com/beyangFollow Martin Casado on X: https://x.com/martin_casadoFollow Guido Appenzeller on X: https://x.com/appenz Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Is AI just a fad or is it fundamentally changing Wi-Fi operations? Keith sits down with Robert Boardman to discuss the reality of AI-augmented Wi-Fi engineering. Robert describes AI as a tool, and explains how it can be useful for automating monotonous tasks and proactive troubleshooting. They also explore the human factor and how experience... Read more »

Claude isn't just the hottest name in AI right now—it's quietly ushering in a wave of ultra-personalized, vibe-coded software that could transform how we build and use tech in 2026. Find out why coders and normies alike are obsessed and what's coming next. Claude Cowork Exfiltrates Files Behind the Curtain: The AI future has arrived Our Algorithmic Grey-Beige World Musk wants up to $134B in OpenAI lawsuit, despite $700B fortune Elon Musk's Grok 'Undressing' Problem Isn't Fixed I asked Grok's AI to undress me after X's new limits. It's still easy on the app. Senate passes Defiance Act for a second time to address Grok deepfakes Instagram says it fixed the issue that sent password reset emails Instagram AI Influencers Are Defaming Celebrities With Sex Scandals French Court Orders Popular VPNs to Block More Pirate Sites, Despite Opposition Nearly 5 Million Accounts Removed Under Australia's New Social Media Ban TikTok has quietly launched a new micro drama app called PineDrama as the category picks up steam in the US Creator income inequality is rising as top influencers rake in big paydays from brands Managers on alert for "launch fever" as pressure builds for NASA's Moon mission Senate passes minibus bill funding NASA, rejecting Trump's proposed cuts Pentagon Device Linked To Havana Syndrome Zuck#: A programming language for connecting the world. And harvesting it Amazon is buying copper harvested by bacteria for its data centers 'Are You Dead?' is now the top paid App Store app in China Danish dev delights kid by turning floppy drive into easy TV remote Cinemark will fill almost anything with popcorn this weekend—but there's a catch Happy Birthday, Wikipedia: We need you now more than ever Pluralistic: The world needs an Ireland for disenshittification (17 Jan 2026) Host: Leo Laporte Guests: Harper Reed and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: ZipRecruiter.com/twit redis.io zscaler.com/security monarch.com with code TWIT

Claude isn't just the hottest name in AI right now—it's quietly ushering in a wave of ultra-personalized, vibe-coded software that could transform how we build and use tech in 2026. Find out why coders and normies alike are obsessed and what's coming next. Claude Cowork Exfiltrates Files Behind the Curtain: The AI future has arrived Our Algorithmic Grey-Beige World Musk wants up to $134B in OpenAI lawsuit, despite $700B fortune Elon Musk's Grok 'Undressing' Problem Isn't Fixed I asked Grok's AI to undress me after X's new limits. It's still easy on the app. Senate passes Defiance Act for a second time to address Grok deepfakes Instagram says it fixed the issue that sent password reset emails Instagram AI Influencers Are Defaming Celebrities With Sex Scandals French Court Orders Popular VPNs to Block More Pirate Sites, Despite Opposition Nearly 5 Million Accounts Removed Under Australia's New Social Media Ban TikTok has quietly launched a new micro drama app called PineDrama as the category picks up steam in the US Creator income inequality is rising as top influencers rake in big paydays from brands Managers on alert for "launch fever" as pressure builds for NASA's Moon mission Senate passes minibus bill funding NASA, rejecting Trump's proposed cuts Pentagon Device Linked To Havana Syndrome Zuck#: A programming language for connecting the world. And harvesting it Amazon is buying copper harvested by bacteria for its data centers 'Are You Dead?' is now the top paid App Store app in China Danish dev delights kid by turning floppy drive into easy TV remote Cinemark will fill almost anything with popcorn this weekend—but there's a catch Happy Birthday, Wikipedia: We need you now more than ever Pluralistic: The world needs an Ireland for disenshittification (17 Jan 2026) Host: Leo Laporte Guests: Harper Reed and Abrar Al-Heeti Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: ZipRecruiter.com/twit redis.io zscaler.com/security monarch.com with code TWIT

This episode argues that the most important AGI threshold has already been crossed. As coding agents learn to reason, iterate, and operate autonomously over long horizons, they unlock a form of functional general intelligence that matters for real work. Coding isn't just another domain—it's a universal lever that collapses the distance between idea and execution, reshaping how companies build, decide, and compete. The result isn't a gradual improvement, but a structural shift in how work gets done. Readings from:https://x.com/gradypb/status/2011491957730918510https://x.com/danshipper/status/2011617055636705718Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Smartglasses companies XREAL and Viture are getting ready to duke it out in court, and Dr. Niki shares what kinds of biomechanics robotics she saw at SICB.Starring Jason Howell, Huyen Tue Dao, Tom Merritt, and Dr. Niki.Show notes found here. Hosted on Acast. See acast.com/privacy for more information.

The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ian and Aaron are joined by Taylor Otwell for their first ever in-person episode of Mostly Technical to talk about everything from the Laravel AI SDK to Private Cloud to vibe coding MUD's and so much more.Sponsored by SavvyCal Appointments, Bento, Mastering Laravel, and Laravel Private Cloud.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - Imaginary Tech Stuff Is Real (04:01) - Taylor's Journey With AI (12:18) - Laravel AI SDK (24:48) - Coding In The AI Era (32:51) - Laravel Private Cloud (37:06) - Cloud CLI (38:48) - First Year of Cloud (43:05) - Sprites.dev (46:30) - What's Next (50:02) - Post Credit Scene Links:Multi-user DungeonLaravel SimplifierElevenlabsPrismWelcome to Gas TownSprites.dev

AI didn't quietly evolve, it crossed the line from recommendation to execution. Once agents stopped advising humans and started acting inside real systems, trust replaced experimentation and consequences became unavoidable. In this episode, Ron sits down with Marcus J. Carey, Principal Research Scientist at ReliaQuest, to examine what happens after AI is given authority: agents running in production, prompt debt replacing technical debt, vibe coding accelerating risk, and maintenance emerging as the true bottleneck. Together, they discuss how cybersecurity, software engineering, and the job market are shifting now that AI operates with autonomy, often faster than organizations can explain what their systems are actually doing. Impactful Moments 00:00 - Introduction 02:26 - AI agents cross into production 03:35 - Trust boundaries become attack surfaces 6:46 - Vibe coding and hidden technical debt 09:22 - Prompt debt changes everything 17:40 - Why junior knowledge disappears 19:00 - AI replaces repetitive cyber workflows 23:43 - Coding becomes human leverage 29:30 - Fall in love with the problem   Connect with our guest, Marcus J. Carey: LinkedIn https://www.linkedin.com/in/marcuscarey/ X https://x.com/marcusjcarey   Articles and Books Mentioned: Article used for discussion:  https://www.techradar.com/pro/security/this-webui-vulnerability-allows-remote-code-execution-heres-how-to-stay-safe   Atomic Habits: https://jamesclear.com/atomic-habits-summary   Fall in Love with the Problem, Not the Solution: https://sobrief.com/books/fall-in-love-with-the-problem-not-the-solution   Our Links: Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/  

OpenAI is rehiring three top researchers from a rival startup in the latest escalation in the AI talent wars. Plus, Box CEO Aaron Levie joins us to talk about the threat AI coding poses to software. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We unpack how DMT, NAT, and AI-powered creation are converging into a new creator economy that looks fundamentally different from previous cycles. The conversation starts with a simple but critical idea: signal matters more than vibes, especially in markets driven by narratives. As AI tools collapse the distance between ideas and execution, the definition of “building” is changing in real time. What once required teams, capital, and long timelines can now be prototyped, iterated, and shipped by small groups or even individuals. That shift has major implications for creators, platforms, and monetization models across crypto and beyond. We explore DMT not as a buzzword, but as a production engine that enables creators to move faster, experiment more freely, and participate meaningfully in emerging markets. Along the way, we discuss community-driven building, vibe coding, and why some level of saturation is not a failure, but a necessary phase of discovery. The episode closes by examining creator monetization through the lens of platforms like OnlyFans, not as a destination, but as an early signal of where creator capital markets are heading. The real opportunity lies in aligning incentives, lowering production costs, and building systems that reward contribution over hype. This conversation isn't about predicting the next trend. It's about understanding what works before the market catches on. Topics: First up, unpacking how DMT, NAT, and AI-powered creation are converging into a new creator economy Next, exploring DMT not as a buzzword, but as a production engine that enables creators to move faster, experiment more freely, and participate meaningfully in emerging markets and Finally, examining creator monetization through the lens of platforms like OnlyFans, not as a destination, but as an early signal of where creator capital markets are heading. Please like and subscribe on your favorite podcasting app! Sign up for a free newsletter: www.theblockrunner.com Follow us on: Youtube: https://bit.ly/TBlkRnnrYouTube Twitter: bit.ly/TBR-Twitter Telegram: bit.ly/TBR-Telegram Discord: bit.ly/TBR-Discord $NAT Telegram: https://t.me/dmt_nat

Greg Foster, Co-founder and CTO of Graphite (recently acquired by Cursor), joins the podcast to discuss the massive shift occurring in software engineering: the move from maximizing "Inner Loop" speed (writing code) to solving "Outer Loop" bottlenecks (reviewing, testing, merging). With AI generating code faster than humans can review it, the traditional Pull Request model is under pressure. Greg explains how "Stacked PRs" and agentic review workflows are essential for high-performing teams, and why he believes the role of the software engineer is evolving into an "architect of agents." We also cover the strategic rationale behind the Graphite/Cursor merger, the controversial "PRs per engineer" metric, and why he predicts that by 2029, manual code writing will be near zero—but demand for engineers will be higher than ever.

Jordan Harris, PhD, LMFT-S, LPC-S, shares how recognizing resistance as a timing cue, not a clinical failure, can transform therapeutic responsiveness through process coding and feedback-informed treatment principles. Interview with Elizabeth Irias, LMFT. Earn CE credit for listening to this episode by joining our low-cost membership for unlimited podcast CE credits for an entire year, with some of the strongest CE approvals in the country (APA, NBCC, ASWB, and more). Learn, grow, and shine with Clearly Clinical Continuing Ed by visiting https://ClearlyClinical.com.

Are you getting paid for the work you do? In this episode of the BackTable Podcast, interventional radiology coding expert Dr. David Zielske joins host Dr. Ally Baheti to share practical tips for billing and coding in interventional radiology, focusing on accurate, efficient, and compliant revenue capture. --- SYNPOSIS Dr. Zielske shares his path to becoming a coding expert, highlighting why precise documentation is essential to accurate medical billing. Drawing from personal experience, he breaks down the most common coding pitfalls physicians face and how to avoid them. He highlights the importance of early training in coding and billing during residency and fellowship, reviews key coding updates effective January 2026, and offers guidance on modifier usage. --- TIMESTAMPS 00:00 - Introduction01:34 - The Importance of Accurate Coding and Documentation04:03 - Common Coding Errors and Compliance Issues07:09 - Detailed Coding Guidelines and Best Practices26:20 - Modifiers and Their Proper Use33:53 - Interventional Radiology vs Diagnostic Radiology35:18 - Discussing ENM Billing and Procedural Focus35:45 - Commonly Missed Codes in Dialysis Circuit Interventions37:04 - Balloon Fibrin Sheath Disruption and Thrombectomy37:51 - Importance of Accurate Documentation for Vascular Access40:55 - Moderate Sedation and Ultrasound Guidance42:33 - Selective Imaging and Urinary Access Coding44:48 - Ablations and Biopsies: Guidance and Coding46:53 - Drainages and Intravascular Lithotripsy50:19 - 2026 Coding Changes and Physician Documentation01:00:29 - Resources and Education for Physicians

Those Excel macros running your business were never meant to be permanent. Someone in accounting built them because the company needed custom software and didn't have the budget or patience for a two-year IT project. IT hates them. You know they're fragile. But they work. And compared to expensive software that never quite fits, working counts for a lot. In this episode, Rob and Justin dig into what might finally replace that world. Not in theory, but in practice. Over the next four years, is the real shift AI helping people build traditional software faster and cheaper? Or is it software that actually has AI running inside it at runtime? The difference matters if you're deciding where to invest time, money, or political capital. They also tackle who's going to build this next-generation line of business tools. Is it the Power BI crowd all over again? The VBA veterans reinventing themselves? Or a new kind of builder who sits closer to the business than IT ever could? If you're nursing a mission-critical spreadsheet you're afraid to touch, or paying too much for SaaS that almost fits, this conversation will feel uncomfortably familiar. And useful. Listen to the episode and start thinking about what replaces your macros before they replace themselves.

Join Conor and Jaeden as they dive into the world of vibe coding, exploring how this innovative approach is transforming AI development. Discover how Jaeden built a complex platform overnight, the tools that made it possible, and why vibe coding is becoming an essential skill for developers and non-developers alike. Tune in to learn about the future of AI and how you can start your own vibe coding journey.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What's new when it comes to artificial intelligence (AI) and coding?Listen to the next edition of the long-running and popular Talk Ten Tuesday and learn from longtime RACmonitor and ICD10monitor contributing author Sharon Easterling.Sharon Easterling will continue her editorial series on artificial intelligence and medical record coding. The potential for AI in health information is both exciting and daunting as you'll learn.The popular Internet broadcast will also feature these additional instantly recognizable panelists, who will report more news during their segments:POV: Penny Jefferson, Manager of Coding & Clinical Documentation Integrity Services for the University of Davis Medical Center, is the new cohost of Talk Ten Tuesday. She will share her point of view (POV) during the broadcast.CDI Report: James S. Kennedy, president of CDIMD, will substitute for Cheryl Ericson and will provide an update on clinical documentation integrity (CDI).The Coding Report: Christine Geiger, Assistant Vice President of Acute and Post-Acute Coding Services for First Class Solutions, will report on the latest coding news.News Desk: Timothy Powell, ICD10monitor national correspondent, will anchor the Talk Ten Tuesdays News Desk.

Ian and Aaron talk about opinionated frameworks in the era of AI, Aaron's new pivot (!), Ian being right, and so much more.Sponsored by SavvyCal Appointments & Bento.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - Ricotta? Regatta? (02:46) - Ian Was Right (10:09) - Laravel vs. Rails (21:32) - AI Education! (48:15) - Do You Wanna Win? Links:Laravel's AI DocsTaylor's tweet thread about Laravel's opinions being good for AIA Software Library With No CodeRalph Wiggum, explainedDHH - Promoting AI agentsTanstackNativePHPProducer Dave's blog post about Billboard

Claude Cowork is the computer agent for the rest of us. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Linus Torvalds pushes AI generated code, Jordan Fulghum thinks this is the year of self-hosting, FracturedJson formats for compact / human readability, Scott Werner believes a flood of adequate software is coming, and Sean Goedecke explains why generic software design advice is useless.

In this episode, Chris responds to a listener's thoughtful question: “Do we really need to check blood pressure on every adult patient?” What starts as a question about workflow becomes a much bigger conversation about how optometrists spend their time, what really changes patient outcomes, and how to break the habit of checking boxes just for compliance. We unpack: The clinical and administrative context behind routine BP checks Why MIPS might not apply to your practice—and what that means The opportunity cost of low-yield testing How to rethink what “comprehensive” really means in your exam The case for reclaiming time to do more of what matters Bottom line: If it doesn't change how you care for the patient, maybe it doesn't belong in the exam.

Linus Torvalds pushes AI generated code, Jordan Fulghum thinks this is the year of self-hosting, FracturedJson formats for compact / human readability, Scott Werner believes a flood of adequate software is coming, and Sean Goedecke explains why generic software design advice is useless.

Are you looking for that solid foundation to begin your Python journey? Would the accountability of scheduled group classes help you get through the basics and start building something? This week, two members of the Python for Beginners live course discuss their experiences.

开发者坦白局：我们每月花 $200–$600 在 AI 上，为何觉得 ROI 极高？在 RTE 2025 大会现场，《编码人声》召集 3 位身处 AI 编程浪潮不同位置的嘉宾——月之暗面开发者关系负责人、Vibe Friends 社区的发起人、Rokid 开发者生态负责人——同台拆解 AI 编程的真实生产力，探讨 Vibe Coding 的真相：AI 编程不会取代程序员，但会无情淘汰「仅会编码」的执行者。真正的机会，留给那些能与 AI 共创产品、直连用户、定义需求的下一代开发者。本期节目指出：✅ AI 编程早已不是「辅助」，而是新工作流的基座：从 JetBrains 补全到 Kimi CLI，工具演进本质是「人类职责迁移」；✅ 独立开发者正在用 Vibe Coding 实现「一人公司」：9.9 美元/月 × 300 用户 = 二三线城市体面生活；✅ 传统行业才是 AI 编程的最大红利区：没有卷王、需求真实、竞争稀薄，老工程师+AI=降维打击；

Accurate coding and effective reimbursement strategies are essential to the success of any oral and maxillofacial surgery practice. This episode addresses how advanced educational experiences can empower practice staff to tackle complex coding scenarios, improve accuracy and support billing compliance. For surgeons, practice managers, coders and billing staff alike, this discussion offers insight to help elevate their coding confidence.  Disclaimer 

Asia Bureau Chief Jing Yang joins TITV Host Akash Pasricha to discuss exclusive reporting on DeepSeek's new V4 flagship model and its superior coding capabilities. We also talk with Cory Weinberg about Strava's confidential IPO and Lambda's $350M raise, and Every CEO Dan Shipper about how AI is blurring the lines between media and software. Then, Ro CEO Zach Reitano breaks down the launch of a new GLP-1 pill with Novo Nordisk and AI's role in modern healthcare. Lastly, we dive into the Silicon Valley obsession with biological age with Jemima McEvoy and the AI shopping race with Editors Martin Peers and Meredith Mazzilli.Articles discussed on this episode: https://www.theinformation.com/articles/deepseek-release-next-flagship-ai-model-strong-coding-abilityhttps://www.theinformation.com/articles/silicon-valley-obsessed-biological-age-tests-despite-dubious-sciencehttps://www.theinformation.com/articles/nvidia-backed-cloud-provider-lambda-talks-raise-350-million-ahead-ipohttps://www.theinformation.com/articles/strava-filed-confidentially-ipo-hired-goldman-sachsTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore's Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Guo and Elad Gil are joined by Jensen Huang for a wide-ranging discussion on the state of artificial intelligence as we begin 2026. Jensen reflects on the biggest surprises of 2025, including the rapid improvements in reasoning, as well as the profitability of inference tokens. He also talks about why AI will increase productivity without necessarily taking away jobs, and how physical AI and robotics can help to solve labor shortages. Finally, Jensen shares his 2026 outlook, including why he's optimistic about US-China relations, why open source remains essential for keeping the US competitive, and which sectors are due for their “ChatGPT moment.”  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @nvidia Chapters: 00:00 – Jensen Huang Introduction 00:17 – Biggest AI Surprises of 2025 04:12 – AI and Jobs: New Infrastructure and Demand for Skilled Labor 09:03 – Task vs. Purpose Framework in Labor 12:31 – Solving Labor Shortages with Robotics 15:14 – The Layer Cake of AI Technology 18:39 – The Importance of Open Source 21:52 – The Myth of “God AI” and Monolithic Models 23:54 – Addressing the “Doomer” Narrative and Regulation 29:25 – The Plummeting Cost of Compute and Tokenomics 35:09 – The Return to Research 37:49 – Future of Coding and Software Engineering 43:20 – The Industries Due For Their “ChatGPT” Moments 46:00 – The Evolution of Self-Driving Cars and Robotics 54:06 – Energy Demand and Growth for AI 58:49 – 2026 Outlook: US-China Relations and Geopolitics 1:04:43 – Is There An AI Bubble? 1:16:20 – Conclusion

Welcome to a milestone episode of Data Driven! In episode 400, hosts BAILeY, Frank La Vigne, and Andy Leonard gather to reflect on nearly a decade at the forefront of podcasting about data, AI, and the world of software engineering. This special edition takes you behind the scenes with stories of tech evolution, personal growth, and the wild journey from their earliest recordings to today's AI-powered workflows.The team digs into how generative AI has transformed their creative process—making it possible for small teams to produce vast amounts of content, drive innovation, and manage multiple podcasts at a high level. You'll hear about Frank's latest tool, Podsy—a platform built to help creators manage the ever-growing tsunami of podcast assets using cutting-edge AI—and how tools like Claude, Grok, and Opus are unleashing new possibilities for automation and storytelling.With their signature tangents, candid stories (including car accidents, water heater mishaps, and parenting milestones), and a bit of nostalgia about the early days of podcasting, this episode captures what makes Data Driven both insightful and relatable. If you're a developer, data professional, or a fellow podcaster looking to stay ahead of the curve, episode 400 is packed with practical lessons, inspiration, and a few good laughs. Dive in as the team celebrates what's possible in the age of AI—and look ahead to an exciting new chapter for the show!Time stamps00:00 "DGX Spark: Personal AI Supercomputer"03:28 "Tech Innovations and Hardware Updates"07:51 "Daily 5:40am Notification Routine"11:10 "Podzi: Managing Podcast Assets"15:35 "Boosting Value with AI Efficiency"17:05 Claude Enhanced Legacy System23:32 AI Impact on Creative Roles25:58 "Consulting Break: Investing Time"29:33 "Automation Evolution and Tools Demo"31:35 "Podsy Studio: A Journey"35:06 "AI-Powered Content Creation Demo"38:26 "Podcast Organization and Insights"42:10 "Streamlining Metadata for Insights"45:47 "Unveiling AI's Hidden Potential"50:41 "Celebrating 400 Podcast Episodes"54:41 "Off Track Ambitions"57:44 "Reality Strikes Back: Tech Trust"59:36 "Podsy Progress and Workflow"

In this episode, we separate the AI hype from the reality of the 2025 job market and look at why the "AGI" promises of tech founders haven't yet materialized. From "AI washing" in corporate layoffs to critical privacy alerts for Gmail users, here is what you need to know:The "AI Washing" Trend: Ryan explores why companies are using AI as an excuse for layoffs, arguing that replacing human customer service and coders with AI is often a move for headlines rather than actual efficiency.The Innovation Plateau: We discuss whether AI development has hit a wall; while early progress was lightning-fast, current updates feel like minor adjustments rather than revolutionary leaps.Coding vs. Vibe Coding: While tools like Claude Code are making development easier for non-coders, the CEO of Cursor warns that "vibe coding" can lead to shaky foundations and crumbling infrastructure without human oversight.Privacy Red Alert: A crucial breakdown on why Google has automatically opted Gmail users into AI training and the specific steps you must take to opt-out and protect your private data.AI Failures & Market Shifts: From a lawyer losing his career over fake AI citations to ChatGPT's recent 22% traffic drop following the Gemini 3 launch, we look at the growing skepticism surrounding LLM reliability.Claude coding - https://x.com/emollick/status/2008253907701821650@emollick

To mark 10 years of the Volunteer Management Progress Report (VMPR), Tobi Johnson hands the mic to nonprofit scholar Allison Russell for a behind-the-scenes conversation about what it really takes to produce a decade-long, global research study, without grant funding, institutional backing, or a full research team. Joined by longtime research partner Pam Kappelides, this episode explores why volunteer engagement research matters more than ever, how practice-informed research gets done, and what practitioners can learn (and apply) from the VMPR process. Full show notes: 196. Behind the Scenes of 10 Years of Industry Research with Pam Kappelides & Allison Russell – Part 1 Industry Research - Episode Highlights [00:55] - History of the Volunteer Management Progress Report [13:54] - Importance of Research in Volunteer Engagement [17:25] - Challenges and Innovations in Volunteerism [31:59] - The Origin Story of the Survey [32:43] - The Generosity of the Volunteer Community [33:27] - Planning and Executing the Survey [34:47] - Setting Goals and Philosophical Approaches [36:23] - Steps in Survey Design and Analysis [37:10] - Challenges and Practical Advice [46:02] - Qualitative Analysis and Coding [50:16] - Impact and Reflections  Helpful Links Volunteer Management Progress Report  VolunteerPro Impact Lab  Engage Journal  Volunteer Nation Episode #101: Tap the Power of Psychological Contracts with Pam Kappelides  Volunteer Nation Episode #058: Innovative Models in Volunteerism Research with Lucas Meijs Pam Kappelides and Tobi Johnson, A Heavy Load: Challenges and Current Practices for Volunteer Managers in the USA, Australia, and Canada, Journal of Nonprofit & Public Sector Marketing, 32(1)  Find Allison on LinkedIn  Allison's UT Dallas Profile Pam's LaTrobe Profile  Find Pam on LinkedIn  Thanks for listening to this episode of the Volunteer Nation podcast. If you enjoyed it, please be sure to subscribe, rate, and review so we can reach more people like you who want to improve the impact of their good cause. For more tips and notes from the show, check us out at TobiJohnson.com. For any comments or questions, email us at WeCare@VolPro.net.

On this episode of Possible, Reid Hoffman and Aria Finger sit down with Amjad Masad, founder and CEO of Replit, to explore how AI is fundamentally changing who gets to build software and what that means for work, creativity, and human agency. Masad traces his journey from growing up in Jordan teaching himself to code and connects it to his love of video games which helped inspire him to build a platform that turns natural language into working software. The conversation spans everything from why gaming mindsets make better builders, to how CEOs are rediscovering hands-on creation, to why “vibe coding” is the next form of literacy and why computational thinking is more important than syntax mastery. The conversation also digs into the future of AI agents, long-running autonomous workflows, and what it means to design environments for machines rather than humans. They also confront harder questions about jobs, fear, regulation, and society's responsibility during a cognitive industrial revolution. The episode ultimately reframes AI not as a replacement for human creativity, but as a force that can return people to a more entrepreneurial, expressive, and meaningful way of life.  For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 01:45 – Introductions and Amjad's background 02:07 – Growing up in Jordan, video games, and learning to build 06:19 – How gaming culture shaped Replit's product philosophy 09:55 – Designing Replit around safety, reversibility, and exploration 13:24 – Defining vibe coding and where the term came from 15:55 – The new literacy: computational thinking and soft skills 22:09 – Getting past the blank page and learning by making 25:06 – Entrepreneurs, solopreneurs, and who Replit empowers 30:48 – Designing environments for AI agents and durable businesses 35:55 – Open source, abstraction, and “cathedrals built from bazaars” 38:25 – The future of corporate work and creative ownership 48:29 – Fear, skepticism, and cultural responsibility around AI 54:13 – Jobs, disruption, and becoming AI-native in a changing economy 01:11:12 – Rapid Fire Questions

Building Confidence in AI Coding for Hospital Radiology Departments See how hospitals and health systems are modernizing radiology coding with AI to improve accuracy, compliance, and coder confidence. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

Ian and Aaron are dealing with the liminal space of the holiday season, talking about their upcoming trip to San Francisco to see the Laravel AI SDK demo, and making even more predictions for 2026.Sponsored by SavvyCal Appointments & Bento.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.Links:Texas de BrazilDelucca PizzaDemolition ManRicotta Cheese'Notes from the sick ward'SF Meetup: First Look at Laravel AI SDKjetBlue Mint

Meta just made a multi-billion acquisition for AI agents.

Apresentado por Bruno Natal.--Loja RESUMIDO (camisetas, canecas, casacos, sacolas): https://www.studiogeek.com.br/resumido/--Faça sua assinatura!https://resumido.cc/assinatura--Alexandre Messina é embaixador e líder de Enterprise GTM da Lovable no Brasil, plataforma de inteligência artificial que permite a qualquer pessoa criar sites e aplicativos web funcionais. Ele também é MIT Innovator Under 35 em IA e professor convidado na Singularity e na Exame, onde ensina aplicações práticas de Vibe Coding para construir negócios dez vezes mais rápido. No RESUMIDO #346: Alexandre Messina co-fundou a Zaia, primeira plataforma de Agentes de IA da América Latina, com mais de 500 mil usuários em 6 meses. Fundou a Pedala, vendida para Americanas em 2019, onde depois liderou Corporate Venture Capital, avaliando centenas de startups e viabilizando dezenas de parcerias estratégicas.--Ouça e confira todos os links comentados no episódio: https://resumido.cc/

We're kicking off 2026 with two coding resources inspired by winter-break. This week, we feature Coddy.tech, a goal-based coding platform where students can choose a language (Python, JavaScript, HTML, and more) and a skill level, then follow a step-by-step learning path with built-in feedback and challenges. We also talk about projects.raspberrypi.org, a free project hub from the Raspberry Pi Foundation that offers Scratch, Python, AI, web dev, and more, all organized by student interests like nature, space, art, music, and science. Together, these tools support problem-solving, creativity, typing skills, and persistence through productive trial-and-error.Mentioned in this episode:Education Podcast NetworkTech Tools for Teachers is part of the Education Podcast Network. https://www.edupodcastnetwork.com/This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacyPodtrac - https://analytics.podtrac.com/privacy-policy-gdrp

January 2, 2026 In this episode, Scott, Mark, and Dr. John Lin dive into the complexities of billing G2211, the Medicare add-on code for complex E/M visits, which now pays nearly $18 per use. They unpack a real-world case where a hospital system's blanket use of modifier 25 is preventing employed physicians from getting reimbursed for G2211, potentially costing them thousands in RVUs. The discussion covers payer-specific rules, how to appeal inappropriate denials, how contract structure affects physician compensation, and when to fight for carve-outs. They also explore why every urology practice should reassess payer mix and drop underperforming contracts when appropriate.Urology Advanced Coding and Reimbursement SeminarInformation and RegistrationPRS Coding and Reimbursement HubAccess the HubFree Kidney Stone Coding CalculatorDownload NowPRS Coding CoursesFor UrologistFor APPsFor Coders, Billers, and AdminsPRS Billing and Other Services - Book a Call with Mark Painter or Marianne DescioseClick Here to Get More Information and Request a Quote Join the Urology Pharma and Tech Pioneer GroupEmpowering urology practices to adopt new technology faster by providing clear reimbursement strategies—ensuring the practice gets paid and patients benefit sooner.         https://www.prsnetwork.com/joinuptpClick Here to Start Your Free Trial of AUACodingToday.com   The Thriving Urology Practice Facebook group.The Thriving Urology Practice Facebook Group link to join:https://www.facebook.com/groups/ThrivingPractice/ 

In this episode I talk with Steven Diamante about coaching teams on XP practices and AI coding agents. We discuss why change is so hard (people have to want it), his success turning an underperforming team around through weekly learning hours, and how to use TDD with AI—including "predictive TDD" where you have the agent guess if tests will pass or fail.Links:Diamante Technical CoachingSteven Diamante on LinkedInNonsense Monthly

It is time for the annual holiday fundraiser episode! This year I deviate a little from the usual process but more on that later. Over the past year I have talked from time to time on the work that the AI and Dev Center of Excellences (CoE) have been doing. From implementing an enterprise wide code repository to opening up different Large Language Models (LLM) to the utilization of Agents for coding and Model Context Protocol servers a lot has changed. What better to help explain the journey that getting some of the key players on the podcast. I am very glad to have Kyle Jero , Lead Data Scientist of GenAI for Corewell Health and Aaron Tellis Senior Data Engineer for Corewell Health on the podcast. Here are just a couple of the great and insightful topics that we covered: How AI and Dev CoEs and the policies and standards are evolving The need for the creation of an Development AI Subcommittee The concept of a 'Digital Twin for Developers' The challenges on evaluating and onboarding AI Dev tools quickly where possible Potential downfalls for Dev Teams when it coming to training Junior Devs in the future AI tools being used for 'harm' and how to help be more secure What does 2026 hold for Dev AI Teams? Fundraising Update: We did the fundraising for this event a little different this year, rather than have one or two vendors sponsor the episode, I was able to use some of the leftover funds from Cloud Con. I am happy to report that we donated $750 dollars to seven different charities. They were Toys for Tots of West Michigan, North Kent Connect, Black Girls Code, St. Joseph's Indian School, the Electronic Frontier Foundation, Guiding Light Ministries and Raices Cyber. The total donated for 2025 was over $1,500. I wouldn't be able to do this community work without the support of my awesome security leadership team at Corewell Health and Matt Nelson and the rest of the Really Bad Security crew. Here's hoping that 2026 is another great year! 

From creating SWE-bench in a Princeton basement to shipping CodeClash, SWE-bench Multimodal, and SWE-bench Multilingual, John Yang has spent the last year and a half watching his benchmark become the de facto standard for evaluating AI coding agents—trusted by Cognition (Devin), OpenAI, Anthropic, and every major lab racing to solve software engineering at scale. We caught up with John live at NeurIPS 2025 to dig into the state of code evals heading into 2026: why SWE-bench went from ignored (October 2023) to the industry standard after Devin's launch (and how Walden emailed him two weeks before the big reveal), how the benchmark evolved from Django-heavy to nine languages across 40 repos (JavaScript, Rust, Java, C, Ruby), why unit tests as verification are limiting and long-running agent tournaments might be the future (CodeClash: agents maintain codebases, compete in arenas, and iterate over multiple rounds), the proliferation of SWE-bench variants (SWE-bench Pro, SWE-bench Live, SWE-Efficiency, AlgoTune, SciCode) and how benchmark authors are now justifying their splits with curation techniques instead of just "more repos," why Tau-bench's "impossible tasks" controversy is actually a feature not a bug (intentionally including impossible tasks flags cheating), the tension between long autonomy (5-hour runs) vs. interactivity (Cognition's emphasis on fast back-and-forth), how Terminal-bench unlocked creativity by letting PhD students and non-coders design environments beyond GitHub issues and PRs, the academic data problem (companies like Cognition and Cursor have rich user interaction data, academics need user simulators or compelling products like LMArena to get similar signal), and his vision for CodeClash as a testbed for human-AI collaboration—freeze model capability, vary the collaboration setup (solo agent, multi-agent, human+agent), and measure how interaction patterns change as models climb the ladder from code completion to full codebase reasoning. We discuss: John's path: Princeton → SWE-bench (October 2023) → Stanford PhD with Diyi Yang and the Iris Group, focusing on code evals, human-AI collaboration, and long-running agent benchmarks The SWE-bench origin story: released October 2023, mostly ignored until Cognition's Devin launch kicked off the arms race (Walden emailed John two weeks before: "we have a good number") SWE-bench Verified: the curated, high-quality split that became the standard for serious evals SWE-bench Multimodal and Multilingual: nine languages (JavaScript, Rust, Java, C, Ruby) across 40 repos, moving beyond the Django-heavy original distribution The SWE-bench Pro controversy: independent authors used the "SWE-bench" name without John's blessing, but he's okay with it ("congrats to them, it's a great benchmark") CodeClash: John's new benchmark for long-horizon development—agents maintain their own codebases, edit and improve them each round, then compete in arenas (programming games like Halite, economic tasks like GDP optimization) SWE-Efficiency (Jeffrey Maugh, John's high school classmate): optimize code for speed without changing behavior (parallelization, SIMD operations) AlgoTune, SciCode, Terminal-bench, Tau-bench, SecBench, SRE-bench: the Cambrian explosion of code evals, each diving into different domains (security, SRE, science, user simulation) The Tau-bench "impossible tasks" debate: some tasks are underspecified or impossible, but John thinks that's actually a feature (flags cheating if you score above 75%) Cognition's research focus: codebase understanding (retrieval++), helping humans understand their own codebases, and automatic context engineering for LLMs (research sub-agents) The vision: CodeClash as a testbed for human-AI collaboration—vary the setup (solo agent, multi-agent, human+agent), freeze model capability, and measure how interaction changes as models improve — John Yang SWE-bench: https://www.swebench.com X: https://x.com/jyangballin Chapters 00:00:00 Introduction: John Yang on SWE-bench and Code Evaluations 00:00:31 SWE-bench Origins and Devon's Impact on the Coding Agent Arms Race 00:01:09 SWE-bench Ecosystem: Verified, Pro, Multimodal, and Multilingual Variants 00:02:17 Moving Beyond Django: Diversifying Code Evaluation Repositories 00:03:08 Code Clash: Long-Horizon Development Through Programming Tournaments 00:04:41 From Halite to Economic Value: Designing Competitive Coding Arenas 00:06:04 Ofir's Lab: SWE-ficiency, AlgoTune, and SciCode for Scientific Computing 00:07:52 The Benchmark Landscape: TAU-bench, Terminal-bench, and User Simulation 00:09:20 The Impossible Task Debate: Refusals, Ambiguity, and Benchmark Integrity 00:12:32 The Future of Code Evals: Long Autonomy vs Human-AI Collaboration 00:14:37 Call to Action: User Interaction Data and Codebase Understanding Research

In this episode I talk with Mike Mroczka about his book Beyond Cracking the Coding Interview. We discuss why algorithmic interviews persist, how AI has disrupted hiring, and why personal branding matters more than ever. Mike shares strategies for bypassing flooded job applications by contacting hiring managers directly.mikemroczka.comBeyond Cracking the Coding Interview on AmazonCracking the Coding Interview by Gayle McDowell

This episode is a special replay from The Generalist Podcast, featuring a conversation with a16z General Partner Martin Casado. Martin has lived through multiple tech waves as a founder, researcher, and investor, and in this discussion he shares how he thinks about the AI boom, why he believes we're still early in the cycle, and how a market-first lens shapes his approach to investing.They also dig into the mechanics behind the scenes: why AI coding could become a multi-trillion-dollar market, how a16z evolved from a small generalist firm into a specialized organization, the growing role of open-source models, and why Martin believes AGI debates often obscure more meaningful questions about how technology actually creates value. Resources:Follow Mario GabrieleX: https://x.com/mariogabrielehttps://www.generalist.com/Follow Martin Casado:LinkedIn: https://www.linkedin.com/in/martincasado/X: https://x.com/martin_casadoThe Generalist Substack: https://www.generalist.com/The Generalist on YouTube: https://www.youtube.com/@TheGeneralistPodcastSpotify: https://open.spotify.com/show/6mHuHe0Tj6XVxpgaw4WsJVApple: https://podcasts.apple.com/us/podcast/the-generalist/id1805868710 Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ian and Aaron are answering your questions about what's coming in 2026, covering everything from AI shrinking dev teams to Elon becoming a trillionaire and so much more.Sponsored by Bento, Flare, Ittybit, tldraw, OG Kit, Tighten, and NusiiInterested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - No Rest For The Weary (03:39) - Manager of Agents (14:44) - Predictions! (30:57) - Ian's Personal Productivity System (40:17) - More Predictions! (58:02) - Vibe Code vs. Buying (01:03:17) - Even More Predictions! (01:17:15) - Christmas Presents Links:Aaron Levie's TweetParkinson's LawGroq's deal with NvidiaClaude's 2x Holiday PromotionObsidianPhilip K DickCursor migrated from SanityAir Span 2Stan Smith's

Episode Description In this year-end episode, Chris Wolfe, OD takes a step back from protocols, products, and positioning statements to examine a more fundamental question in clinical care: when does belief help us act, and when does belief get ahead of the data? Throughout the year, we've emphasized that belief during the comprehensive exam is what drives action. If doctors and teams do not truly believe something matters, it does not get prioritized. But belief has a failure mode. When belief outpaces evidence, especially in pediatric care, it can distort expectations, decision-making, and policy. Using the FDA's decision on low-dose atropine as a case study, this episode explores how belief forms, how it spreads, and where it may diverge from what the publicly available data actually show. This is not an argument against myopia management or atropine therapy. It is an attempt to slow the conversation down and examine effect size, study design, endpoints, and uncertainty with clarity and humility. What You'll Learn in This Episode Why myopia management itself is not the controversy, but certainty often is How belief influences behavior in the comprehensive exam, for better and for worse What the FDA actually said in its Complete Response Letter on SYD-101 How professional statements and press releases can amplify belief beyond available data What the STAR trial poster does and does not show, including effect size and subgroup uncertainty Why modest effect sizes behave differently in real-world clinical practice How to think about dose, endpoints, and population selection without oversimplifying Why belief should motivate action, but evidence should calibrate expectations Key Sources Referenced in This Episode FDA and Manufacturer Statements Sydnexis Complete Response Letter Press Release Sydnexis Receives Complete Response Letter from FDA for SYD-101 to Slow Pediatric Myopia Progression https://www.sydnexis.com/news/sydnexis-receives-complete-response-letter-from-fda-for-syd-101 Sydnexis Phase III STAR Trial Topline Data Press Release Sydnexis Announces Topline Pivotal Data from Phase 3 STAR Trial https://www.sydnexis.com/news/sydnexis-announces-topline-pivotal-data-from-phase-3-star-trial UK Approval Announcement (Based on STAR Data) Sydnexis Announces UK Approval of Ryjunea by Partner Santen https://www.sydnexis.com/news/sydnexis-announces-uk-approval-of-ryjunea Professional Organization Statements AAOMC Public Statement AAOMC Calls for Access to Proven Myopia Therapies as Low-Dose Atropine Gains Global Approvals https://aaomc.org AAPOS Commentary on Nonapproval of SYD-101 Available via LinkedIn and Healio OSN Clinical Commentary and Analysis Kyle Klute, OD – Optometry Simplified My Alternative Take on Atropine, Fast Progressors, and Effect Size (NNT Analysis) https://optometrysimplified.com/posts/optometry-simplified-weekly-my-alternative-take-on-atropine-fast-progressors-in-glaucoma-lab-test-ordering-and-more Strongly recommended for a detailed discussion of effect size and Number Needed to Treat. This episode references Kyle's framework without reproducing his calculations. Review of Myopia Management – Ashley Wallace Tucker, OD What Does the FDA Decision on SYD-101 Mean for Eye Care? Review of Optometry – Paul Karpecki, OD Sydnexis Snubbed Review of Optometry – Cory Lappin, OD Optometric Physician Commentary on SYD-101 Healio OSN – Ed Wilson, MD and John Hovanesian, MD AAPOS: Nonapproval of SYD-101 Has Important Implications Why This Episode Matters This episode is not about picking sides. It is about learning to sit in uncertainty without abandoning action. It challenges listeners to examine where belief helps patient care and where belief may unintentionally replace careful analysis. If you manage myopia, counsel parents, interpret clinical trials, or influence policy, this episode is designed to help you think more clearly, not more loudly. Connect and Continue the Conversation If this episode resonated with you, or if you found yourself uncomfortable in parts of it, that reaction is worth exploring. Thoughtful medicine requires both conviction and restraint. ------------------- For our listeners, use the code 'EYECODEMEDIA22' for 10% off at check out for our Premiere Billing & Coding bundle or our EyeCode Billing & Coding course. Sharpen your billing and coding skills today and leave no money on the table! questions@eyecode-education.com https://coopervision.com/myopia-management Go to MacuHealth.com and use the coupon code PODCAST2024 at checkout for special discounts  Show Sponsors: CooperVision MacuHealth

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mike Bakon to explore the fascinating intersection of hardware hacking, blockchain technology, and decentralized systems. Their conversation spans from Mike's childhood fascination with taking apart electronics in 1980s Poland to his current work with ESP32 microcontrollers, LoRa mesh networks, and Cardano blockchain development. They discuss the technical differences between UTXO and account-based blockchains, the challenges of true decentralization versus hybrid systems, and how AI tools are changing the development landscape. Mike shares his vision for incentivizing mesh networks through blockchain technology and explains why he believes mass adoption of decentralized systems will come through abstraction rather than technical education. The discussion also touches on the potential for creating new internet infrastructure using ad hoc mesh networks and the importance of maintaining truly decentralized, permissionless systems in an increasingly surveilled world. You can find Mike in Twitter as @anothervariable.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Hardware and Early Experiences02:59 The Evolution of AI in Hardware Development05:56 Decentralization and Blockchain Technology09:02 Understanding UTXO vs Account-Based Blockchains11:59 Smart Contracts and Their Functionality14:58 The Importance of Decentralization in Blockchain17:59 The Process of Data Verification in Blockchain20:48 The Future of Blockchain and Its Applications34:38 Decentralization and Trustless Systems37:42 Mainstream Adoption of Blockchain39:58 The Role of Currency in Blockchain43:27 Interoperability vs Bridging in Blockchain47:27 Exploring Mesh Networks and LoRa Technology01:00:25 The Future of AI and DecentralizationKey Insights1. Hardware curiosity drives innovation from childhood - Mike's journey into hardware began as a child in 1980s Poland, where he would disassemble toys like battery-powered cars to understand how they worked. This natural curiosity about taking things apart and understanding their inner workings laid the foundation for his later expertise in microcontrollers like the ESP32 and his deep understanding of both hardware and software integration.2. AI as a research companion, not a replacement for coding - Mike uses AI and LLMs primarily as research tools and coding companions rather than letting them write entire applications. He finds them invaluable for getting quick answers to coding problems, analyzing Git repositories, and avoiding the need to search through Stack Overflow, but maintains anxiety when AI writes whole functions, preferring to understand and write his own code.3. Blockchain decentralization requires trustless consensus verification - The fundamental difference between blockchain databases and traditional databases lies in the consensus process that data must go through before being recorded. Unlike centralized systems where one entity controls data validation, blockchains require hundreds of nodes to verify each block through trustless consensus mechanisms, ensuring data integrity without relying on any single authority.4. UTXO vs account-based blockchains have fundamentally different architectures - Cardano uses an extended UTXO model (like Bitcoin but with smart contracts) where transactions consume existing UTXOs and create new ones, keeping the ledger lean. Ethereum uses account-based ledgers that store persistent state, leading to much larger data requirements over time and making it increasingly difficult for individuals to sync and maintain full nodes independently.5. True interoperability differs fundamentally from bridging - Real blockchain interoperability means being able to send assets directly between different blockchains (like sending ADA to a Bitcoin wallet) without intermediaries. This is possible between UTXO-based chains like Cardano and Bitcoin. Bridges, in contrast, require centralized entities to listen for transactions on one chain and trigger corresponding actions on another, introducing centralization risks.6. Mesh networks need economic incentives for sustainable infrastructure - While technologies like LoRa and Meshtastic enable impressive decentralized communication networks, the challenge lies in incentivizing people to maintain the hardware infrastructure. Mike sees potential in combining blockchain-based rewards (like earning ADA for running mesh network nodes) with existing decentralized communication protocols to create self-sustaining networks.7. Mass adoption comes through abstraction, not education - Rather than trying to educate everyone about blockchain technology, mass adoption will happen when developers can build applications on decentralized infrastructure that users interact with seamlessly, without needing to understand the underlying blockchain mechanics. Users should be able to benefit from decentralization through well-designed interfaces that abstract away the complexity of wallets, addresses, and consensus mechanisms.

Chuck Yates, long-time private equity professional, fellow podcaster, and self-proclaimed "Galactic Viceroy" of Collide, an AI Enterprise Software company, joins the podcast to give some insight on his personal origin story and where + when his eccentric & outlaw personality came from. Later in the episode, Chuck unpacks some of the workflow automations & case-studies that his team is working on that are applicable to the minerals & nonop space. **Disclaimer: This podcast is meant for informational purposes only and does not constitute investment advice.A big thanks to our 3 Minerals & Royalties Podcast Sponsors:--Tracts: If you are interested in learning more about Tracts title related services and software, then please call 281-892-2096 or visit https://tracts.co/ to learn more.--Riverbend Energy Group: If you are interested in discussing the sale of your Minerals and/or NonOp interests w/ Riverbend, then please visit www.riverbendenergygroup.com for more information--Farmers National Company: For more information on Farmer's land management services, please visit www.fncenergy.com or email energy@farmersnational.com

What do foot massage parties, otters, and AI robot tutors have in common? To find out, tune into our special end-of-year conversation featuring the hosts from TED Talks Daily, TED Radio Hour, TED Business, and TED Tech!Elise Hu, Manoush Zomorodi, Modupe Akinola and Sherrell Dorsey got together to share the biggest ideas dominating their industry and the lesser-known insights they wished garnered more attention. From pushing back against AI advances to sharing the TED Talks that inspired them, Elise, Manoush, Modupe, and Sherrell reflect on 2025 and look ahead to 2026.Conversations MentionedTED Radio HourRay Kurzweil, "Could AI extend your life indefinitely? Futurist Ray Kurzweil thinks so" LINK Victor Riparbelli, “Will AI avatars eventually teach our kids?” LINKPhilip Johns, “Singapore's otters are butting heads with their human neighbors. Can they coexist?” LINKRestoring trust in government, "Move fast...and fix democracy?" LINKTED TalksSitoyo Lopokoiyit in conversation with Jacqueline Novogratz "A story of moral imagination and bold entrepreneurship" LINKSarah Beery, "How AI is unearthing hidden scientific knowledge" LINKScott Loarie (of iNaturalist), "The surprising power of your nature photos" LINKDaniel Zavala-Araiza, "The best way to lower Earth's temperature — fast" LINKJennifer Pahlka, "Coding a better government" LINKPinky Cole (Slutty Vegan), "How I make vegan food sexy" LINKJason Huang, "The high-wire act of unlocking clean energy" LINKJennifer Doudna, "CRISPR's next advance is bigger than you think" LINKJonny Sun, "You are not alone in your loneliness" LINK Hosted on Acast. See acast.com/privacy for more information.

What do foot massage parties, otters, and AI robot tutors have in common? To find out, tune into our special end-of-year conversation featuring the hosts from TED Talks Daily, TED Radio Hour, TED Business, and TED Tech! Elise Hu, Manoush Zomorodi, Modupe Akinola and Sherrell Dorsey got together to share the biggest ideas dominating their industry and the lesser-known insights they wished garnered more attention. From pushing back against AI advances to sharing the TED Talks that inspired them, Elise, Manoush, Modupe, and Sherrell reflect on 2025 and look ahead to 2026.Conversations MentionedTED Radio HourRay Kurzweil, "Could AI extend your life indefinitely? Futurist Ray Kurzweil thinks so" Victor Riparbelli, “Will AI avatars eventually teach our kids?” Philip Johns, “Singapore's otters are butting heads with their human neighbors. Can they coexist?” Restoring trust in government, "Move fast...and fix democracy?" TED TalksSitoyo Lopokoiyit in conversation with Jacqueline Novogratz "A story of moral imagination and bold entrepreneurship" Sarah Beery, "How AI is unearthing hidden scientific knowledge" Scott Loarie (of iNaturalist), "The surprising power of your nature photos" Daniel Zavala-Araiza, "The best way to lower Earth's temperature — fast" Jennifer Pahlka, "Coding a better government" Pinky Cole (Slutty Vegan), "How I make vegan food sexy" Jason Huang, "The high-wire act of unlocking clean energy" Jennifer Doudna, "CRISPR's next advance is bigger than you think"Jonny Sun, "You are not alone in your loneliness" Hosted on Acast. See acast.com/privacy for more information.

What do foot massage parties, otters, and AI robot tutors have in common? To find out, tune into our special end-of-year conversation featuring the hosts from TED Talks Daily, TED Radio Hour, TED Business, and TED Tech!Elise Hu of TED Talks Daily hosted a conversation with Manoush Zomorodi, Modupe Akinola and Sherrell Dorsey, where they discussed the biggest ideas dominating their industry and the lesser-known insights they wished garnered more attention. From pushing back against AI advances to sharing the TED Talks that inspired them, Elise, Manoush, Modupe, and Sherrell reflect on 2025 and look ahead to 2026.Conversations MentionedTED Radio HourRay Kurzweil, "Could AI extend your life indefinitely? Futurist Ray Kurzweil thinks so" Victor Riparbelli, “Will AI avatars eventually teach our kids?” Philip Johns, “Singapore's otters are butting heads with their human neighbors. Can they coexist?” Restoring trust in government, "Move fast...and fix democracy?" TED TalksSitoyo Lopokoiyit in conversation with Jacqueline Novogratz "A story of moral imagination and bold entrepreneurship" Sarah Beery, "How AI is unearthing hidden scientific knowledge" Scott Loarie (of iNaturalist), "The surprising power of your nature photos" Daniel Zavala-Araiza, "The best way to lower Earth's temperature — fast" Jennifer Pahlka, "Coding a better government" Pinky Cole (Slutty Vegan), "How I make vegan food sexy" Jason Huang, "The high-wire act of unlocking clean energy" Jennifer Doudna, "CRISPR's next advance is bigger than you think"Jonny Sun, "You are not alone in your loneliness" Hosted on Acast. See acast.com/privacy for more information.

- Decentralized TV Show Preview and Interview Highlights (0:10) - Vibe Coding Demonstration and Book Project (3:10) - Improved Search Feature and Download Capability (8:10) - Special Report: How Open Source AI Can End Statism (9:33) - Critique of Government and the Role of AI (43:44) - The Future of AI and Human Freedom (1:10:09) - Decentralization and AI Misconceptions (1:17:22) - Human Intelligence vs. AI (1:22:54) - Introduction to Decentralized TV (1:25:19) - Book Creation Engine and AI Capabilities (1:29:11) - Gold and Silver Market Analysis (1:40:22) - Industrial Drivers of Silver Demand (2:01:50) - Market Stress Signals and Supply Constraints (2:18:33) - Global Monetary Reset and Gold (2:23:30) - Practical Advice for Acquiring Precious Metals (2:29:04) - Conclusion and Contact Information (2:33:27) - Discussion on Variety of Perspectives and Challenging Mainstream Narratives (2:35:15) - Introduction to the After Party and Book Creation (2:38:27) - Predictions for 2026 and Financial Insights (3:02:01) - Introduction to the Unincorporated Nonprofit Association (UNA) (3:06:52) - Health and Wellness Insights (3:19:36) - Book Engine and AI Technology (3:26:35) - Final Thoughts and Future Plans (3:36:43) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com