Podcasts about Codex

*Build your AI Research Desk in Codex:* https://clickhubspot.com/inyh Ep. 449 Is informational content on the internet dead? Kipp, Kieran, and guest Matt Wolfe (Future Tools) dive into how you can reclaim hours each week by automating newsletter reading, brand mentions, and industry news updates with your own personal AI system. Learn more on building a custom info dashboard with AI agents, the future of media consumption and creator-business relationships, and how you can leverage open-source tools to create a second brain for your work and life. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book GitHub https://github.com/ Gemini Omni 1.1 Flash https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/ Codex https://chatgpt.com/codex/ Claude https://claude.ai/ Obsidian https://obsidian.md/ Ask Kipp and Kieran a question! https://form.asana.com/?k=U4n5W_3WC2SkQO1bwK8Xzg&d=8587152060687 Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/@matgpod  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Mike starts his three part history of Pokémon! They go over the first four generations of the core series. The theme music is by RoccoW. The logo was created by Dani Dodge.

An AppStories Interview

Karen Wilkinson, author of Stolen Seed Evil Harvest, joins this episode to describe a lifetime of abductionexperiences that began in early childhood and continued into adulthood, including a near-death experience thatfinally brought them to an end. Karen walks through the hybrid children she believes were taken from her, theevolving physical traits of these hybrid entities across generations, and the biblical framework she uses to explainwho — or what — is really behind it all.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters,UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find moreepisodes and join the community at the links below.Topics Discussed:●Karen's lifetime of abduction memories, recalled without hypnosis, and the near-death experience thatultimately stopped them●The hybrid children she says were taken from her, and how their appearance ties into the "black-eyedkids" phenomenon●The generational evolution of hybrid entities — from pale, large-eyed children to beings increasinglyengineered to pass as human●Karen's theory connecting the biblical Nephilim, disembodied demonic spirits, and the smaller "cookiecutter" gray entities as possible vessels●What she describes from inside the underground facilities where she was taken, including exam rooms,waiting areas, and indirectly lit hallways●The onset of "UFO brain fog," a state of induced lethargy she says the entities used to control emotion,pain, and memory during encountersLinks

Eno Reyes is the co-founder and CTO of Factory, the agent-native software development platform building autonomous "Droids" for enterprise engineering teams. Factory has raised $220 million, most recently a $150 million Series C at a $1.5 billion valuation, from investors including Khosla Ventures, Sequoia Capital, 20VC, NEA, Blackstone, Insight Partners and Nvidia. Before founding Factory, Eno worked as a machine-learning engineer at Hugging Face, training, optimizing and deploying large language models for enterprise customers. AGENDA: 00:00 Are We Underestimating AI by an Order of Magnitude?  06:35 Why Can the Smartest AI Model Be the Cheapest?  18:51 Is Anthropic's Coding Business Really Worth $2 Trillion?  33:41 Will Continuous-Learning Models Help or Hurt Factory?  40:43 Will 80–90% of Neo-Labs Die in the Next 18 Months?  44:33 Should American Enterprises Work With Open-Source Chinese Models?  55:42 Must AI Founders Radically Rethink What a Great Outcome Looks Like?  1:04:30 Do Pedigree and Credentials Still Matter in AI Hiring?  1:19:17 Which Is the Biggest Threat: Claude Code, Codex, Cognition or Cursor?  1:24:20 What Seems Crazy Today but Will Be Obvious in Five Years?  

Plus: SK Telecom is creating an AI data-center company backed by KKR. And Thinking Machines Lab co-founder Barret Zoph rejoins Google. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI strategist Matthew Tiemann is building toward a world where AI agents work around the clock—and humans step in for the decisions that matter. Across his work at energy services company Foundry-Logic and his personal projects, he uses Claude Code, Codex, and Fable to automate knowledge work and accelerate software development. Those projects range from an AI-assisted iOS game to a personal dashboard informed by his goals, to-do list, and Oura Ring sleep data. Drawing on experience across data analytics, supply chain, robotics, logistics, and energy, Matthew joins Reid Hoffman and Parth Patil to explore proactive “heartbeat” agents and shared context. They also discuss adversarial review, 12-hour human check-ins, and AI's limits in subjective judgment—revealing why human vision and alignment remain essential.

New 40k Space Marine News & Legends List: We Talk Rules Updates, Essential Codex Changes, and Retired Model Legacy Guidelines! Here is the latest: https://spikeybits.com/space-marines-codex-11th-edition-sends-16-units-to-legends/ Monument Hobbies has some of the best paints in the business: Get yours here https://bit.ly/MoumentHobbies Get your hobbies for less from Fabricators Forge https://bit.ly/FabricatorsForgeStore Shop BHAWK Spirits Online: https://hallingwhiskey.com/ Tequila Fortaleza 150 Years of Tradition: https://tequilafortaleza.com/ Top Hobby Supplies for miniatures: https://spikeybits.com/best-hobby-supplies-miniatures-tabletop-gaming/ Join our Discord https://discord.gg/jvVa7tT Heretic Swag https://hereticswag.com/ Table of Contents 00:00 Opening 02:40 Would You Rather 11:38 News 30:05 Rage Bait Become a Veteran of the Long War! http://thelongwar.net/

Tyler and Mike go over the second part of their History of Doom! They also take a small tangent on video game censorship and banned games in different countries. The theme music is by RoccoW. The logo was created by Dani Dodge.

Syncthing saves the day in an unexpected way, and we dig into what's new in Linux 7.2.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

This week I am on location in the Brian Seipp Waagh Room, sitting side by side as we record our first codex review of 11th edition! There are loads of detachments and so many datasheet revamps that i had to cut this into two weeks!The audio might be a little less than perfect due to us recording side by side but the love in it hopefully shines through

Andy joins this episode to share a string of unexplained encounters that began during a lonely college summer and escalated into a terrifying overnight shift as a hotel night auditor. From an invisible force that knocked him off his feet outside a rural trailer to a hooded, faceless figure caught twice on hotel security cameras, Andy walks through the physical evidence, the missing security footage, and the aftermath that left him questioning what actually happened that night.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:A summer spent alone in a rural trailer, where unexplained scratches and hives began appearing overnightBeing knocked to the ground by an invisible force while running through an open field with no trees or obstacles nearbyA hooded, faceless silhouette caught twice on hotel security cameras in an empty third-floor vending areaA foul-smelling puddle that appeared and reappeared in the exact same spot, with no clear sourceAn elevator that opened on its own, with the same unsettling presence apparently passing directly by himMissing footage and a workplace dispute over security camera evidence from the night of the incidentBecome a supporter of this podcast: https://www.spreaker.com/podcast/cult-of-conspiracy--5700337/support.

Some things are different.. some things are similar..  Did you guess there were going to be so many detachments and psychic rules?  We didn’t.. we give you the high level … Read More

The first codex of 11th Edition is in our hands, and it's loaded with green! In this episode, we dive into the brand new Orks codex and get our first taste of what codexes will look like in the new edition. We look at what's included, what's not, and what's new in this book. Does this book feel complete? Does the new detachment system provide a decent army-building system? What's the rule that most excites us from this book? Are Orks as pushed as everyone fears? And did they just try to make aircraft good? We look at all that and more in our review! Support Preferred Enemies on Patreon: https://www.patreon.com/PreferredEnemies Buy Preferred Enemies merch: https://www.preferredenemies.com/merch Preferred Enemies on BlueSky: https://bsky.app/profile/preferredenemies.com Music: "The Whip" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ #AdWIP #New40k #WarhammerCommunity Learn more about your ad choices. Visit podcastchoices.com/adchoices

A.M. Edition for Aug. 19. President Trump hits pause on 50% tariffs that had been set to hit a range of Canadian products – buying more time for trade negotiators to reach a deal with Ottawa. Plus, OpenAI's second quarter sales disappoint as rival Anthropic sees its revenue double. And a Chinese cargo ship sets sail for the Arctic in a move that WSJ foreign correspondent Sune Rasmussen says could upend global trade. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This time on Healthcare Now we have a full house even though Doctor Mark is off in Parts Unknown! Larry is joined on the phone by three guests from CodeX! David Patterson is head of the Patterson Group, Muari Srinivasa is co-founder & CEO of CodeX, and Calvin Wu is a practicing endocrinologist when he's not busy as VP of Clinical Innovation & Quality! It's an in-depth look into the world behind healthcare now! See omnystudio.com/listener for privacy information.

This time on Healthcare Now we have a full house even though Doctor Mark is off in Parts Unknown! Larry is joined on the phone by three guests from CodeX! David Patterson is head of the Patterson Group, Muari Srinivasa is co-founder & CEO of CodeX, and Calvin Wu is a practicing endocrinologist when he's not busy as VP of Clinical Innovation & Quality! It's an in-depth look into the world behind healthcare now! See omnystudio.com/listener for privacy information.

I recount my recent visit to the Musée de Minéralogie, where Codex Urbanus has taken over with a street art exhibition "Codex on the Rocks".  It was quite a fascinating visit to a place I'd never been, and it was wonderful to have the artist himself explain the impressive work that went into this exhibtion.  If you're an Earful Member on Substack or Patreon, you can get more information about a private tour with Codex himself. The second half of the episode is a look back at when Codex took me into the illegal part of the catacombs.  The music in this episode is from Pres Maxson.  This episode brought to you by The Earful Tower Tours. Come join us in the Marais, Montmartre, or the Latin Quarter. Our Walking Tours are exceptionally highly rated online and are the best way to experience this podcast in real life. The Earful Tower exists thanks to support from its members. For just $10 a month you can unlock almost endless extras including bonus podcast episodes, live video replays, special event invites, and our annually updated PDF guide to Paris.  Membership takes only a minute to set up on Patreon, or Substack. Thank you for keeping this channel independent.  For more from the Earful Tower, here are some handy links: Website  Weekly newsletter  Walking Tours  

Ian Silber is the head of product design at OpenAI, where he has led the design of ChatGPT, Codex, and all of OpenAI's product experience for the past three years. Before OpenAI, he was at Artifact, the AI-powered news app built by the founders of Instagram. Prior to that, he spent eight years at Instagram, where he worked on products including Reels. Ian is one of the most consequential designers working in AI today, and he takes us inside how OpenAI designs ChatGPT, Codex, and the future of how we will interact with AI.In our in-depth conversation, we discuss:1. Why Ian believes this is the best time in history to be a product designer2. Why engineers 10x'd with AI but design teams haven't3. What OpenAI looks for when hiring designers4. “Just do less”: Ian's counterintuitive advice to his designers5. The future of ChatGPT as a super app6. Where humans still win: user understanding, invention, and point of view—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Ian Silber:• X: https://x.com/iansilber• LinkedIn: https://www.linkedin.com/in/iansilber• Website: https://iansilber.com—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 Ian Silber(02:14) Why designers in general feel anxious about AI(09:01) What makes specific designers thrive in the AI era(13:41) Why Ian says it's the best time in history to be a designer(17:13) How product roles are converging(22:24) Can AI design great products?(23:54) Where human judgment still matters(27:34) What Ian looks for when hiring designers(30:20) Why systems thinking matters(32:53) Balancing speed and craft(38:05) Designing for vastly different audiences(41:57) Solving the blank-box problem(43:31) How ChatGPT is evolving beyond chat(46:07) The vision for Codex(49:07) What Ian wishes he knew on day one(51:40) Why humility matters in AI(53:41) Advice for designers who are feeling overwhelmed(55:16) AI corner(57:43) Failure corner(01:00:45) Lightning round and final thoughts(01:05:52) Lessons from Groupon—Referenced:• OpenAI: https://openai.com• How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• 3 Spiderman Pointing meme template: https://www.kapwing.com/explore/3-spiderman-pointing-meme-template• OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape• Notion: https://www.notion.com• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Joel Lewenstein on LinkedIn: https://www.linkedin.com/in/joel-lewenstein• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• ChatGPT Work: https://openai.com/chatgpt-work• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Please Stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Maybe Happy Ending: https://www.maybehappyending.com• The Invite: https://www.imdb.com/title/tt14173636• Rivian: https://rivian.com• Waymo: https://waymo.com• Groupon: https://www.groupon.com• How a VC and a tech founder used AI to launch a brick-and-mortar business in their spare time | Andrew Mason (CEO of Descript) and Nabeel Hyatt (General Partner at Spark Capital): https://www.lennysnewsletter.com/p/how-a-vc-and-a-tech-founder-used• Andrew Mason on X: https://x.com/andrewmason• Kevin Systrom on LinkedIn: https://www.linkedin.com/in/kevinsystrom• Sam Altman on X: https://x.com/sama—Recommended book:• The Design of Everyday Things: https://www.amazon.com/dp/0465050654—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

James Salcedo, host of Salcedo Paranormal and a contributor to the Trouble Minds Radio Network, joins thisepisode to share a lifetime of paranormal encounters shaped by an unusual gift: profound sensory awarenessdespite being legally blind. From a childhood sighting of a floating, apparition-like woman and a vanishing blackcat to a years-long dream sequence that led him to a name and a burial location, James walks through some of themost vivid ghost encounters and EVP recordings of his research career.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters,UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find moreepisodes and join the community at the links below.Topics Discussed:● A childhood sighting, alongside a cousin, of an elderly apparition floating above a basement clotheslinewith no visible feet or body● A black cat that vanished and reappeared without a sound in the same basement, suggesting it wasn't aliving animal● How James's low vision may have heightened his other senses, allowing him to perceive apparitions withunusual clarity● A recurring dream sequence pointing to a young girl named "Maggie" who died in a fire and was buriednear a local church● An EVP recording captured at a training center that caught a woman's voice searching for James by name,a decade after his first encounter there● The unexplained equipment malfunctions that accompanied the recording, and how they resolved onlyonce the file was deletedLinks

China's labs kept coming: Z.ai's GLM-5.3 claimed Mythos-5-level cyber chops and DeepSeek's V4-Pro landed to mixed reviews. OpenAI gave ChatGPT a memory of your Mac, the Journal flagged $121B in paper profits, and Claude agents started a turf war. Links China's Z.ai Touts New GLM-5.3 Model as Cyber Defense Tool (The Information) DeepSeek releases its flagship V4-Pro model to mixed reviews, ranking second among open-source models behind Kimi K3, priced at just $0.435/1M input and $0.87/1M output tokens (The Information) OpenAI launches Computer History, an opt-in feature that turns recent computer activity on macOS into memories and a timeline that ChatGPT and Codex can use (The New Stack) In Q2, "other income", mostly from investment gains, at Amazon and Alphabet totaled ~$121B after taxes and made up 66% and 71%, respectively, of profits (The Wall Street Journal) Longreads Anthropic details multiagent experiments showing Claude agents can wage a "turf war" over incompatible goals, fail to coordinate, collude on prices, and more (TechCrunch) The AI takeover of mathematics has begun: excitement and despair as OpenAI's Astra cracks problems that would once have earned a mathematician a job in academia (The Verge) Picking winners in an AI industrial revolution is near impossible, but one bet looks safe: land, which AI can't create or replace, and the workers who turn it into housing (The Dispatch) Subscribe to the ad-free feed.

ChatGPT can do what now?

Topics covered in this episode: Claude Code /insights Post-quantum crypto lands in Python MCP goes stateless — and FastMCP gets renamed inshellisense - IDE style command line auto complete Extras Joke Watch on YouTube About the show Sponsored by Xweather Xweather combines enterprise-grade weather intelligence with agent-ready APIs, natural language capabilities, and an MCP server so your agents can adapt workflows, automate responses, and make better decisions based on real-world conditions. Michael will tell you more about them later in the show. Get started for free at pythonbytes.fm/xweather Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Claude Code /insights Michael's Insights: michael-kennedy-claude-code-insights-2026-08-09.html Be careful sharing these outputs, they include details references to your projects, errors, security findings, etc. ;) /insights reads your last 30 days of local session transcripts and hands back an interactive HTML report on how you actually work. One command, zero setup: type /insights in a session, or run claude -p "/insights" from the shell for a non-interactive version that just prints the path Reads what's already on disk: pulls session logs from ~/.claude/projects/, skipping agent sub-sessions and anything under 2 messages or 1 minute Project areas: clusters your sessions into themes like "CLI Tooling" or "Documentation" with session counts Friction analysis: categorizes where things went wrong by root cause - and quotes your own prompts back at you Interaction style: tells you whether you're a delegator or a micromanager, plus which workflows are worth doubling down on Actually actionable: suggests concrete CLAUDE.md additions and Claude Code features you're not using The catch: Haiku does the per-session classification, so the first run takes several minutes; results cache to ~/.claude/usage-data/facets/ and the report lands at ~/.claude/usage-data/report.html Calvin #2: Post-quantum crypto lands in Python pyca/cryptography 48 ships ML-KEM (key establishment) and ML-DSA (signatures) — NIST's post-quantum standards, now one pip install away. Big deal because it's the 11th most-downloaded package on PyPI (~1.2B downloads/month) and sits under Ansible, Certbot, Airflow, and paramiko. No PQ there, no PQ anywhere in Python. Trail of Bits did the work (Rust bindings, cross-backend API, tests, AWS-LC backend support), funded by the Sovereign Tech Agency. Timing tracks a June 22 White House order setting federal deadlines: PQ key establishment by end of 2030, PQ signatures by end of 2031. Not a drop-in swap — the wire sizes explode. ML-DSA-65 signatures are 3,309 bytes vs Ed25519's 64; ML-KEM-768 public keys are 1,184 bytes vs X25519's 32. Hardcoded field sizes and length prefixes will bite. API looks like the existing asymmetric primitives, except ML-KEM is encapsulate/decapsulate rather than a Diffie-Hellman exchange. SLH-DSA (the hash-based conservative backstop) is still in progress. The primitives are here, but protocols haven't caught up — so you won't be running post-quantum Certbot this week. Sponsor: Xweather You're using agents that can write code, summarize documents, and automate workflows. But they're missing one thing: awareness of the world around them. This is where today's sponsor, Xweather comes in. Xweather combines enterprise-grade weather intelligence with agent-ready APIs, natural language capabilities, and an MCP server built for tools like Claude, Codex, Copilot, and modern IDEs – so your agents can adapt workflows, automate responses, and make better decisions based on real-world conditions. Backed by Vaisala, whose instruments fly on NASA missions to Mars, Xweather delivers trusted data and unique insights that go beyond conditions to actual impact – from real-time lightning strikes to road surface forecasts. Start with 15,000 free API calls each month and pay only for what you use as you grow. Xweather is your full weather stack, for developers by developers. Start building for free today at pythonbytes.fm/xweather. The link is in your podcast player's show notes and on the episode page. Thanks so much to Xweather for supporting Python Bytes. Calvin #3: MCP goes stateless — and FastMCP gets renamed From Philipp Acsany over at Real Python The 2026-07-28 spec landed July 28 and the Python SDK shipped 2.0.0 the same day. Biggest rewrite since MCP launched, and it's breaking on purpose. Context for scale: the Tier 1 SDKs are pulling close to half a billion downloads a month, with TypeScript and Python each past a billion total. The headline is the stateless core. The initialize/initialized handshake and the Mcp-Session-Id header are both retired — protocol version, client identity, and capabilities now ride in _meta on every request, with an optional server/discover RPC if a client wants capabilities up front. Any request can land on any instance behind plain round-robin, no shared storage. Server-initiated calls are the hard part of the migration. Sampling, elicitation, and roots/list no longer call back to the client; instead the server returns resultType: "input_required" and the client retries with inputResponses attached. Multi Round-Trip Requests, MRTR. Also: Mcp-Method and Mcp-Name are now required headers so gateways route on headers instead of cracking JSON bodies, and missing-resource errors move to standard 32602. Deprecation sweep with an actual policy behind it — Roots, Sampling, Logging, and the legacy HTTP+SSE transport all deprecated with a twelve-month minimum offramp. Tasks graduated out of the experimental core into a real extension, which is what the formalized extensions framework was for. MCP Apps is now an official extension too, so a tool call can return sandboxed interactive HTML. Auth picked up RFC 9207 issuer validation, issuer-bound credentials, and a shift from DCR toward CIMD. Python SDK 2.0 is where it gets personal: FastMCP is now MCPServer, no alias, no shim. McpError → MCPError. Wire types went snake_case (is_error, input_schema) and moved to a standalone mcp_types package, with mcp.types kept as a permanent alias. One Client object replaces the old transport + ClientSession + initialize() stack. httpx became httpx2. Sync handlers run on worker threads now, so asyncio.get_running_loop() raises inside them. The good news: one MCPServer serves both protocol eras, so 2025-era clients keep working with nothing to configure, and a Resolve(fn) parameter lets one tool body cover MRTR and the old path. 1.x is maintenance-and-security-fixes only — pin mcp>=1.28,

Danny McMillan returns after his longest break in almost ten years, with Seller Sessions approaching its tenth anniversary and roughly 1,300 episodes. This is the pilot of a new monthly roundtable with Sim and Matt (Dorian returns next month), moving away from the conversion show format towards raw conversation. You'll hear how Sim's team runs product development end to end with AI: keyword-scored idea validation, brand director sign-off, Claude-generated product concepts rendered through Codex, and a launch pipeline already booked out to 2027. Matt shares how Productpinion prioritises features from customer feedback, and why prioritisation is the most undervalued skill in the AI era. The back half tackles the big theme: cognitive load. Danny breaks down verification fatigue, context switching and AI maxing, and why the scarce resource is no longer time but attention and decision quality. Key Topics AI-driven product development - from keyword scoring to Claude SVG concepts and Codex-generated product renders Team structure at scale - how ideas route through brand directors to sourcing across UK and Philippines teams Hiring in the AI era - why refusing to use AI is now a dealbreaker, and why gutting teams for AI is commercial suicide Free local AI tools - Fluid Voice (Whisper Flow alternative) and Meetily (Granola alternative) Cognitive load and verification fatigue - the hidden tax of moving from doer to overseer Timestamps 00:00 - Danny returns: ten years of Seller Sessions, new pilot format 01:50 - Sim's update: ditching ClickUp for a bespoke operating system 03:55 - Matt's update: closing the research loop in Productpinion, Florence CRO brain, MCP 05:39 - Sim's product pipeline: AI keyword scoring, brand director approval, deep research 07:07 - AI product development: Claude concepts, Codex renders, 3-in-1 product mashups 09:07 - Packaging designed for the main image, and how far you can push it 10:46 - Team workflow: brand directors owning P&L, sourcing handoffs 14:21 - Danny on gutting teams for AI: who maintains the machines? 15:56 - The hiring line: refuse to use AI, you haven't got a job 17:48 - Claude across every department: projects, Claude Code vs Cowork 20:10 - Free local tools: Fluid Voice for dictation, Meetily for meeting notes 21:57 - Marketplace arbitrage: moving proven products between Amazon marketplaces 23:21 - Matt on signal to noise: wasting tokens instead of wasting time 24:57 - Time blocking and prioritising features by customer impact 26:54 - Danny's segment: cognitive load, oversight duty and verification fatigue 31:46 - Asking the right question: the Claude Science deep-dive example 36:41 - AI maxing, context switching and high-stakes decision quality 42:07 - Claude telling you to go to sleep 45:16 - Danny's framework: reject the first plan, decision sprints, deliberate decompression 50:47 - Where to reach Sim and Matt Key Takeaways AI has made product development fun again - unique product concepts generated with Claude and Codex, feeding a pipeline mapped to 2027. Augment, don't replace - if someone was worth hiring, AI should multiply their output, not justify cutting them. Prioritisation is the undervalued AI skill - just because you can do everything doesn't mean you should. Verification fatigue is real - build in decision sprints and deliberate decompression, and reject Claude's first plan on sight. The scarce resource is attention, not time - your night schedule and recovery feed the next day's output. Notable Quotes "AI is enabling the boring to get released and the fun stuff to happen." - Sim "Instead of people wasting time, now they're just wasting tokens." - Matt "Prompts don't matter, but asking the right question unlocks everything." - Danny McMillan "AI doesn't just speed you up. It puts you on permanent oversight duty, and the cost of that duty is your attention and your judgment, not time." - Danny McMillan Resources Mentioned Fluid Voice - free, open source local dictation with on-device models; a Whisper Flow alternative Meetily - free, open source meeting summariser that runs privately on your machine; a Granola alternative Claude / Claude Code - the AI platform used across both Danny's and Sim's teams Codex - used alongside Claude to generate product concept images Productpinion - Matt's shopper testing platform, now with MCP support and draft polls Connect Sim - on LinkedIn (genuine reach-outs answered) Matt - on LinkedIn or via productpinion.com Seller Sessions is the leading podcast for advanced Amazon sellers, hosted by Danny McMillan. Dorian returns next month.

Blaine Billingsley is a Member of Technical Design Staff at OpenAI whose path into the field ran through music composition, spare-change website work at college, and a decade across Gmail, Airbnb, YouTube and Slack. At OpenAI he was hired to work on Presence, then redirected to solve a more immediate problem: making ChatGPT genuinely useful as a daily tool for designers. Working with a single engineer, he built the ChatGPT product design plugin — a bridge between the raw power of Codex and the day-to-day workflow of product teams. In this conversation with Randy Silver, he talks about what design actually means when your interface is a text box, why volume beats perfection in an age of infinite iteration, and why the fundamentals of good product thinking are more durable than the tools used to apply them.Key takeaways— The designer's job at an AI company has shifted from pixels to outputs. Deciding what "good" looks like, building the criteria to evaluate it, and heuristically assessing results is now a core part of the role — one that didn't exist in the same form at Gmail or Slack.— LLMs don't replace structured creativity techniques; they scale them. The crazy eights exercise squeezes eight ideas from a room of people in eight minutes. A well-directed ChatGPT session can return 80 in the same window, alone, while you're at lunch.— Volume beats perfection. The best way to make a pot isn't to try to make the best pot — it's to make a thousand pots. That logic now applies directly to prototyping: generate at scale, stay unattached, and find the nugget in the noise.— Evals are closer to synthetic user research than quality assurance. The hardest part isn't building the rubric — it's correctly anticipating what people will actually try to do. Show it to one more person and your assumptions will immediately break.— The second 80% problem hasn't gone away. Getting to a working prototype is dramatically faster; getting that prototype to production is still gruelling — and becomes harder still when platform direction shifts mid-sprint.— Small teams with AI assistance need to protect the rituals that keep them aligned. When two people can each produce a week's worth of work in an afternoon, parallel drift becomes the real collaboration risk.— Role boundaries are dissolving, but specialisations still matter. The question is less "what is your title" and more "what does the band need right now, and can you play that part?"— Experience brings judgment; freshness brings juice. The best work often comes from junior designers unconstrained by years of accumulated assumptions — and both things need to be in the room.Chapters (00:00) Introduction(01:14) Blaine's background: from music composition to product design (02:32) What design means at OpenAI (04:21) The ChatGPT product design plugin (06:12) Deciding what to build: the early exploration (10:05) Structured creativity and LLM-powered ideation (13:37) Volume over perfection: the thousand pots approach (16:13) Designing as a two-person team (20:29) What is the job now? (23:33) Evals as synthetic user research (27:08) Testing at scale when you can't know your users (30:15) How they actually did the research (33:01) The second 80%: from prototype to production (35:06) Staying aligned without roadmaps (38:19) Demo: the product design plugin (44:52) When a prototype isn't ready to ship (48:26) Design sprints, reimagined (49:27) Advice for joining an AI-first product team (52:17) The jazz analogy: experience, freshness and your role in the band Featured LinksChatGPT for Work: https://openai.com/chatgpt Codex: https://openai.com/codex Figma: https://figma.com FigJam: https://www.figma.com/figjam Linear: https://linear.appOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

A series of 16 influential political pamphlets published between 1776 and 1783 during the American Revolutionary War (1775-83) titled The American Crisis, or simply The Crisis, by eighteenth-century Enlightenment philosopher and author Thomas Paine — an Englishman living in the colonies who signed his essays anonymously as "Common Sense," the title of his earlier influential work. Each essay, bolstered the morale of the American colonists to fight hard for their independence, appealed to the English to support the colonist's cause, clarified the issues at stake, and denounced any type of negotiated peace. The essays were gathered into one volume in 1882, showcasing the iconic opening line: "These are the times that try men's souls. The summer soldier and the sunshine patriot will, in this crisis, shrink from the service of their country; but he that stands it now, deserves the love and thanks of man and woman." The American Crisis by Thomas Paine at https://amzn.to/4dKKClU Common Sense by Thomas Paine (book) available at https://amzn.to/3MKX77b Writings of Thomas Paine available at https://amzn.to/3MCaFC2 Books about Thomas Paine available at https://amzn.to/4s3qxOg ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The American Crisis by Thomas Paine (a LibriVox production read by volunteers and coordinated by Michele Fry, 2014). See omnystudio.com/listener for privacy information.

The Autobiography of Benjamin Franklin (1706-1790) written in the form of an extended letter to his son, William Franklin (1730-1813). Ben kept good records of his life and travels, and although he was never President, he still played a crucial part in American history. The Autobiography of Benjamin Franklin at https://amzn.to/43cp6CV Benjamin Franklin Books available at https://amzn.to/41fUkGD ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (Twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Autobiography of Benjamin Franklin (Librivox, read by T. Hersant). See omnystudio.com/listener for privacy information.

A year ago, I estimate this website would have cost me $50,000. I built it in one weekend with Claude and Codex, using no human production team — and a few thousand dollars in AI credits and tokens.This is not a step-by-step coding tutorial. In 5 minutes I break down why asking AI to "build me a better website" is not enough, and what I actually did instead: fed it raw files, had it build me an accept-or-reject board so I could approve or reject every image, video, and graphic, then directed the result. I cover where Codex and Claude each performed best, how I handed work back and forth between them when one got stuck, and how Vercel and Cloudflare fit into the finished site.The real advantage is not a single AI tool. It is your ability to think, communicate, make creative decisions, and direct the tools toward a clear result.See the finished AGM website: https://agmagency.com/See my finished website: https://manuelsuarez.com/Building with AI right now? Tell me in the comments which part of directing it you find hardest.AI Transformation Sessions with Manuel Suarez

What if stones were never silent? Ancient people used stone to send messages—but what if that technology never disappeared? From megaliths and linguistics to perception, resonance, and even emails transmitted through stone, we follow a bizarre communication technology hiding in plain sight. Stone. Signal. Language. #LOOKITUP.CODEGAS CODEX OF CURIOSITIES CRYPTID WOMANS SOCIETY DUDES LIVES MATTER T_SHIRT -USE CODE #LOOKITUP BUY THE LIMINAL TREES BOOK NOW ☂️☂️☂️ALERT OPERATIONS: CRYPTID WARFARE // // GET 15% OFF AT CHECK OUT USING "PARANOI" at FLAVORS OF THE FORESTTHE TREBLES SHOWStay humble but don't you dare be invisible. 

We've spent the last month vibe coding our own corners of the internet. The Verge's Jake Kastrenakes and Hayden Field join David to talk about their use of Gemini, Codex, and Claude Code to build 90s-themed personal websites, vegetable-sharing systems, and photo boards. It wasn't always easy, and we didn't get everything done, but with a little AI and a lot of prompting, we made it work. Further reading: Four takeaways from Mark Zuckerberg's massive AI manifesto | The Verge The first rival Android app store just arrived in the US Play Store | The Verge Space mirrors could ruin astronomy — and your eyes | The Verge Claude has been having a moment — can it keep it up? | The Verge The vibe-coding AI future is both exciting and terrifying | The Verge Welcome to the personal software revolution | The Verge Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

L.A. Marzulli — author of over a dozen books and producer of nearly 30 documentaries in the Watchers series — joins this episode to lay out years of field research into the Nephilim, the biblical offspring of fallen angels and human women. L.A. walks through his team's DNA testing on Peru's elongated Paracas skulls, newly filmed evidence from the Roswell debris field, and the unsettling, ongoing modern-day encounters he believes point to a ancient bloodline still active today.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:DNA testing on 56 samples from Peru's elongated Paracas skulls, and the mitochondrial evidence pointing to Middle Eastern or Eastern European originThe skull anomalies — including a relocated foramen magnum — that L.A.'s team argues rule out a human explanationNewly filmed evidence from the Roswell, New Mexico debris field, including recovered metal fragments and a new eyewitness accountThe biblical case for the Nephilim, from Mount Hermon and Genesis 6 to their role in modern-day "breeding program" accountsFirst-hand encounter accounts involving shapeshifting entities, and the connection between Cryptids like Bigfoot and Dogman and the NephilimChichen Itza and Mayapan as sites of historical human sacrifice, and their reputation as active spiritual "portals"Links

Thank you for watching!~CHECK OUT ALL THE LINKS BELOW FOR THE SYNDICATE & RIOT Co.!https://link.me/breederssyndicate~SUPPORT the channel or JOIN the Discord community: https://www.buymeacoffee.com/matthewriot (This channel is not monetized - any contributions are warmly appreciated & keep us going)~QUALITY GEAR (shirts, stickers, beanies, mugs etc): https://breeders-syndicate-shop.fourthwall.com~PLANT HEALTH & SEX TESTING: https://www.farmerfreeman.com  (Coupon Code: SYNDICATE5 )

This is the Max Depth Podcast. Today we speak with the co-founder and CEO of Palmier. Palmier is a video editor built for AI, where Claude and Codex can edit your timeline directly: trimming, reordering, and generating footage. We used it to make 15+ cinematic AI launch videos for YC companies and it's now open-source and free to download at palmier.io.   

This week, we discuss the Situational Awareness meltdown, Airtable getting sold, and review the Java documentary. Plus, what you should actually buy at IKEA. Watch the YouTube Live Recording of Episode 584 Runner-up Titles Duffle bag of leftovers 5Are you dead in this scenario? Bury me with my IKEA bags Don't automate the world, nobody really wants that AttentionIsAllYouNeed.blog Take some money off the table No more great ideas Rundown IKEA FRAKTA Leopold Aschenbrenner's $45B Fund Implodes AI investor Leopold Aschenbrenner forced to unwind all public stock positions after steep losses, sources say His Wedding Guests Were Arriving—Just as His $45 Billion Fund Was Falling Apart Bending Spoons Buys Airtable for $1.28B Bending Spoons to buy Airtable for $1.28B sell on story, or sell on revenue The Java Story | The Official Documentary Relevant to your Interests Who's Writing Open Source Code? Satyress Robotics GitHub - mgwalkerjr95/texas-grocery-mcp: MCP server for HEB grocery shopping BMW Spider-Man in-car advertising An announcement from Superlogical An interactive visualization that follows a single HTTP request through its entire ~200ms life Supercharge your Claude, Cursor, and Codex. | Unstructured Linux Foundation Launches the Tokenomics Foundation valock July 2026 Recap tl;dv (Too Lazy; Didn't Validate): 181,874 Meetings Left Wide Open npm Worm Poisons keyv, cacheable and 400+ Other Packages Across Twelve Organisations Using AI for Product Management - The Tanzu Platform product management experience Is the future of data centers portable? Runware builds a pod to find out Google's AI reshuffle: Chief scientist Jeff Dean exits and Demis Hassabis steps down as DeepMind CEO Investigating three real-world incidents in our cybersecurity evaluations Boris Cherny: We Cut 80% of Claude Code's Prompt Microsoft's stock rockets more than 15% for largest single-day jump in history Amazon revenue soars as AI investments pay off Meta's stock drops on disappointing guidance, dwindling free cash flow Clouded Judgement 7.31.26 - AWS CapEx ROI Sponsors Signadot: making sure AI-written code actually works. Conferences WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD50 25 Free Tickets AI Connect, Aug 22nd, 2026 - Riga, Latvia, Coté speaking. DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Brooks GTS 25 Matt: NearbyWiki Reading Maps Coté: Descript Underlord

Plus: Meta discloses one of its AI models went rogue. And SoftBank uses its OpenAI stake to fund a $10 billion loan. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

My AI agent handled 14,588 customer conversations and only 584, or 4%, required human escalation. In this video, I break down the real numbers behind the custom AI agent operating inside my ecommerce business: 14,588 conversations, $30,807 in influenced sales, 340 attributed orders, and only $805 in total AI cost.This is more than a chatbot answering basic questions. I wanted an agent that could communicate naturally, understand the education behind the NaturalSlim brand, respond around the clock, support customers, and help produce revenue across our website and text messages.I also explain the practical starting point for building useful AI systems in your own business. Start by defining exactly what you want, use tools like Claude or Codex to map the path, and focus on building one valuable system at a time.But an AI agent cannot manufacture demand from nothing. If you want an agent to produce sales, you need customer attention and traffic first. If you do not have enough traffic yet, that is the first machine you need to build.Subscribe to learn more about marketing, business growth, and how to use AI to build systems that create real leverage. AI Transformation Sessions with Manuel Suarez

Most agency owners probably haven’t thought much about shadow AI (the name for when employees use their personal ChatGPT, Claude, or Gemini accounts to do work). In fact, owners may be doing it as well. In this episode, Chip and Gini walk through what the risks are and how to respond without overreacting. The instinct to crack down is understandable but wrong. Employees are going to use their own tools regardless, often because personal accounts are better trained or more accessible than whatever the company has set up. The goal should be education, not elimination. Most employees don’t know that personal accounts default to feeding data into training sets, or that a single toggle can turn that off. That one fix alone is worth a conversation with your team. Vibe coding and a plain-language AI policy get discussed, in addition to educating your team. Gini’s team runs weekly micro-learning sessions to help people use AI as a thinking partner, not just a drafting tool. Both Chip and Gini advise that owners and employees who aren’t using AI meaningfully within the next year or two are putting their careers and businesses at risk. Key takeaways Chip Griffin: “You’re probably not going to stamp it out. So at a minimum, you need to educate employees, because a lot of employees don’t realize the risks in what they’re doing.” Gini Dietrich: “I also think that shadow AI is one thing, but there are plenty of people who are not using it at all. And I was actually kind of shocked to find that in my own organization.” Chip Griffin: “We need to avoid the knee-jerk reaction when you hear an episode like this, shadow AI, oh my God, I need to shut this down. You cannot have that reaction.” Gini Dietrich: “The real value is that AI helps you operate at a completely different level.” Resources The Birthday Dirge View Transcript The following is a computer-generated transcript. Please listen to the audio to confirm accuracy. Chip Griffin: Hello and welcome to another episode of the Agency Leadership Podcast. I’m Chip Griffin. Gini Dietrich: And I’m Gini Dietrich. Chip Griffin: And Gini, I, think it’s appropriate that it suddenly got dark, in, in- Yeah. … in your office as we were trying to begin this recording- Mm-hmm … because we’re gonna be talking about being in the shadows. Gini Dietrich: Yes, we are. In the dark. But before we do that, happy birthday. Chip Griffin: Oh, thank you. Thank you. You’re welcome. I appreciate that. I thought maybe we’d escape that since- Nope … ’cause we were on hiatus during my actual- Nope … birthday month, so. Gini Dietrich: Nope. Ah, come on. Yeah. It was just a few days ago. Happy belated I guess. All right. Thank you. Especially by the time people hear this, but. Chip Griffin: Yeah. Well, nobody will really know, so. Gini Dietrich: I know. Chip Griffin: I, I, appreciate it, and I mostly appreciate that you’re not singing, so, Gini Dietrich: I can. Do you want me to? Chip Griffin: I do not. I- Okay, well- ‘Cause, ’cause isn’t, don’t you have to license “Happy Birthday,” I think? I think that’s- Gini Dietrich: Well, I have a different song. It’s a song that- Oh … the kids learned in third grade that we sing instead of “Happy Birthday.” Chip Griffin: Is, is this the dirge? Gini Dietrich: No. Chip Griffin: Oh. See, I like the birthday dirge. Gini Dietrich: I don’t know the birthday dirge. Chip Griffin: Oh, it, it, it’s, uh, it goes something like, you know, uh, another year closer to the grave or something. I mean, it’s very more… But, the- I wouldn’t- Our kids learned it, learned it at a kid’s party, you know, 20-some years ago. Oh, that’s so good. I’ll have to look it up and share it with you. It, or- I’ll look it, yeah. I’ll delete it … or maybe, maybe Jen can do that because, and maybe sh- b- maybe she can include a link to it, in, in the show notes, ’cause it is somewhat entertaining, but I, I don’t remember the lyrics, nor do I want to try to, to invent them or sing them even if I knew them. Gini Dietrich: All right, fine. Chip Griffin: But, no, the, the- Gini Dietrich: Maybe for my birthday. You have s- you have several months to, to learn it. You could sing it to me for my birthday. Chip Griffin: Well, more than several, but yes. Anywho, so moving on from that. We, are going to talk about the shadows, the deep, dark shadows of the PR world. No, we’re gonna be talking about, shadow AI, which is, in a lot of organizations, you have employees who are using their own ChatGPT, Claude, Gemini, whatever accounts to do work. They are not using corporate accounts. A lot of them do not understand the implications of it. The employees do not understand the implications. The employers do not understand the implications. And I’ve seen it, either bite people or potentially bite people of late, so I thought I would raise it as something that, that owners ought to be thinking about in the current environment. Gini Dietrich: I will tell you, not to get anyone in trouble, but almost every one of our clients, and they’re big clients, people do that. Could be, and they’re doing it from their personal devices. It could be because it’s blocked at work. It could be because what they have at work isn’t sufficient. It could be because CoWork is significantly better than, Copilot. It, like, there are lots of reasons, but people will full on pull out their phone or their iPad and do it on their personal device at work all the time. Chip Griffin: It is incredibly common, and, from my perspective and what I advise owners is that you’re probably not going to stamp it out. So at a minimum, you need to educate employees- Yep … because a lot of employees don’t realize the risks in what they’re doing, and they haven’t set up any kind of a, a process to make sure that they’re, you know, doing it as intelligently as possible at least, if they’re- Right … gonna use their own accounts. And, look, I, mean, I, don’t necessarily think that, that it’s awful for them to be doing this. I wouldn’t try to eliminate it. But you do need to educate them because a, a lot of times when I talk with rank and file employees of agencies, they don’t realize that, for example, that their personal accounts, by default, all of the data leaks out for training purposes. And it’s in many cases, depending on which tool you’re using, as simple as a toggle to make- Yep … sure that that information- Yep … does not go straight into the training sets- Yep … of these providers. And that’s the default setting on your corporate accounts if you’ve got them as an agency, but it is not the default on most personal accounts. And so just that one change can make a big difference. But I have yet to talk to any individual employee using their individual account who knows that that’s even something they can or should do. Gini Dietrich: Yeah. I agree with you. I think that having just a really easy AI policy is the right way to go because I don’t– I think you’re right. I don’t think you’re gonna stamp it out. I mean, heck, I use my personal one for lots of stuff too. Mostly because I trained it before we had the corporate account, and I don’t wanna go back and retrain what I’ve already worked, what I’ve already created. So, but we just created a one-page, like, bullet points AI policy that says exactly what you said, like toggle it off. If you’re gonna be vibe coding, here’s what you need to be thinking about. You know, all of the things. I think it’s probably 12 bullet points. It’s not a huge lift, but it just helps them understand. And one of the things that we did is we spent some time building the cowork Instance for the organization, and it has, you know, our OKRs and our plan and our vision and, you know, all of the stuff, our brand kit, all of the stuff. So it’s easier for, my team now, it wasn’t six months ago, but now it’s easier for my team to use the company one because it has all of that stuff in there and it’s already been trained. Chip Griffin: Yep. Yeah, I mean, it’s, you know, so I think there’s, this is a multi-stepped process. You know, part of it is the policy, part of it is education. Gini Dietrich: Yep. Chip Griffin: Part of it is you should have a standard corporate tool that you are using. It doesn’t mean that it’s the only one, but, it should be– If you do that, it will allow you to do a lot of the information sharing, skill sharing, things like that, that ensure the consistency across the organization and make sure that everybody doesn’t have to reinvent the wheel constantly. But I think the you brought up two things that I think are worth exploring more. One probably is a separate episode in addition to this, but the other, I think, makes sense within this context. The one to sort of put a pin in and come back to is your fear of moving from your personal one to the corporate one because of the lost, you know, memory and context and all of that kind of thing. And, I think that there is, I, I, think there’s a lack of knowledge in the agency community generally about how best to capture all of the, the knowledge and things that you’re developing alongside these AI tools and making it as portable as possible. So, you know, one of the things I’ve been focused on in recent months is really making sure that, that my second brain, if you will, in AI is portable across multiple tools. And so I’ve now built it so, for example, I have one brain that I share across both my Claude and ChatGPT accounts- Gini Dietrich: Yep. I do the same thing. Yep. Chip Griffin:… so that you have consistency, and, I think it’s worth sort of exploring that, maybe not in technical detail, but, you know, how you can share it amongst your own accounts, how you can share it more effectively with your colleagues and coworkers and that kind of thing. So I think that’s worth revisiting in more depth because I think there, particularly as we become more AI forward as agencies generally, that’s something that becomes increasingly valuable and increasingly important. But the, piece that, that I think really fits into this shadows discussion is the vibe coding, and we see a lot of agency employees doing vibe coding, which is fantastic. I am, I’m a huge advocate of it. I think that if you want to get ahead in professional services generally, in the agency world specifically, you need to learn how to do at least basic vibe coding. That said, I think people do not understand all of the risks and complexities associated with vibe coding. Gini Dietrich: Right. Chip Griffin: And, so, there are a lot of basics that, that agencies need to be thinking about here, and again, it comes into that education and training piece in working with employees, because most of them don’t understand if you mess something up and you are not doing version control or keeping backups, you can be, you know, really up a creek without a paddle. Yep … and yes, you can reconstruct it in some fashion oftentimes by going back in the conversation, but it’s not simple. And because most people who are doing vibe coding today do not have any previous programming experience, they don’t understand these concepts like version control and being able to roll back easily and, all of the things that geeks like me who’ve been coding since, you know, the early ’80s get and understand. And, and, that Git reference, by the way, was for those of you who do actually know your coding stuff- … because it’s a great repository tool that most of you who are doing vibe coding should be looking into because it- Yeah … is really helpful- Gini Dietrich: Yep … Chip Griffin: in terms of making sure that when you have an oopsie, you can solve it and fix it easily. But a lot of people if, if they’re doing this on their own devices, they may not even have just regular backups of this stuff because maybe they’re saving their regular agency work to a Dropbox account or OneDrive or whatever you’re using. But whatever they’ve set up to use with Coworker or Codex or whatever, they may not have that in one of those directories that is by default syncing to the cloud and getting updated. And so you wanna make sure that you’re helping them understand that that needs to be part of the process, because how awful would it be if you just lost all of this work that you had been doing? And so much of what you do with Coworker, Codex is device specific, and you cannot access anywhere else. I suspect that will change over time. I suspect that, that those will become, you know, more cloud-like, and we’ve already seen Claude, for example, merging the chat and cowork functions somewhat in their app. Yep … and, so we’ll see a place where I think you can just share it across devices, but right now it is frustratingly difficult for those of us with multiple devices to manage. I’ve got two PCs and a laptop and other and, and so I’ve actually written my own systems for converting the code so that it all is accessible elsewhere. But if you don’t know how to do these things, you could be in a real world of hurt if your computer crashes and you’ve got no backups. Gini Dietrich: Yeah, and I will say that, not that I speak from experience or anything, but it only has to happen to you once, and then you learn very quickly how to make all of that happen. Because you’re right, I, I was vibe- I love to vibe code. It’s one of my favorite things to do, but the very first time I did it, I didn’t know I was supposed to do version control or any of that stuff. Right. I didn’t know anything about Git. I didn’t know any of it. I do now. Chip Griffin: Yep. And look, that’s, how most of us learned the hard way in the olden days of writing this code. You’re like, “Oh, shoot, I wish I had had a copy of that.” Yeah. You know? And, in the old days, our backups were printouts, right? Because you- Right … there was no way… Like, when I did computer coding on a cassette tape, you know, there was no real way to make a copy of that easily, so, you know, we would just, you know, hit print, and, you know, on a little dot matrix printer we’d have a copy of the code so we could retype it if we absolutely had to. Gini Dietrich: That’s so funny. Ugh … Chip Griffin: not ideal. A lot easier to do things today. Gini Dietrich: Not ideal, no. Chip Griffin: but, you know, those are the kinds of things, and, if we’re all going to become programmers of a sort, we need to be thinking about that. We need to be thinking about, how do you properly test and maintain some of this stuff that we’re creating? Because it’s super easy to vibe code the first version of something. It’s a lot harder to handle the maintenance that’s required on it, you know, when connections to data sources break or technology- Yep … evolves- Yep. Yep … or those kinds of things. Yep. Most, of the people who are vibe coding don’t do anything in terms of security testing of the, the code that they’re writing. And, if that vibe coded thing ties into other systems, which many times they do, you may have created, an opening that you’re not aware of into your back-end systems that could be problematic. And so these are all things that we need to increase the level of education about so that our teams are at least thinking about these things. I’m not saying they’re gonna solve them all. They’re not gonna… We’re still gonna have issues that crop up. But we’ve got to be doing more to try to educate owners, employees, and everybody else involved in the process. Gini Dietrich: Yeah, absolutely. I really think that starting with an AI policy is the right thing to do. Don’t make it overly complicated. Like, when we started, we had this big, like, AI policy legal packet. And I was like, “This is way too much. Way too much.” Like, people are not going to absorb that. So I used my AI to dumb it down, for lack of a better term, and, you know, really to highlight the things, and then I went through myself and said, “Okay, great. These, this is a good start. Now I need to add this, this, and this,” just based on how I see people using it. So, I also think that shadow AI is one thing, but there are plenty of people who are not using it at all. And I was actually kind of shocked to find that in my own organization, like, really? O-Okay. So we’ve done a little bit of, you know, we do a, we do micro-learning sessions every week. So we’ve done a little bit of AI micro-learning just to show people, like, it’s not just for a blog post draft or helping you refine an email. Like, it can h- it could be a thinking partner. It can help you with these things. And so we’ve been doing some micro lessons on that too to just help them understand that this isn’t gonna take your job. We still need you to do your work. We still need your brains for all of this, but this will make you more effective and more efficient. Chip Griffin: Yeah. Although I, I, have taken to becoming much scarier, and I’m telling people it is gonna take their job if they are not using it effectively themselves. Gini Dietrich: If they don’t use it. No, I agree with that. Chip Griffin: Yeah. But, I agree with you. Yeah. There are, there are a lot of folks in the agency community who are not using AI beyond very rudimentary use. Gini Dietrich: Yeah. Chip Griffin: And, and I, I don’t think there are very many who aren’t using it at all, but there are a lot who are using it more like a, you know, a replacement for Google or something to, you know, give them a quick draft of a blog post or an email or something like that. And, you really need to be taking advantage of it at a much higher level if you want to be successful in really any kind of knowledge work moving forward. And- Yeah … and I think people have a relatively short window to get up to speed on this. I think we’re talking, you know, a year, two years tops. Gini Dietrich: If– Yeah, yeah. I think two years is being generous. Chip Griffin: And, I think if, if you are, if you are not, if a year from now you are not actively using AI every single day in a really intelligent way, I don’t know that you have a future. Gini Dietrich: I would agree with that. I would agree with that. And I think you have to use it, to your point, in a really intelligent way. I just answered, or I just had a conversation with a Forbes reporter who’s writing about, there’s a term for it… I can’t think of the term right now. There’s a term for you using it as a thinking partner, using AI as a thinking partner, and he was telling me that almost nobody does that, and I was like Really? Like, that’s the only thing I use it for is, you know, here’s what I’m thinking, poke some holes in it, play devil’s advocate, tell me, you know, what’s strong, what’s weak, what I need to think through more effectively. It has helped me with … I mean, I, I think I’ve mentioned before, I call it my co-CEO, and I’m like, “Okay, here’s today’s challenge. Here’s what I’m thinking. Here’s the documentation. Here’s the backup. Help me think this through.” And it’ll be like, “What about this, and what about that?” And I’ll say, “Well, no, I think you’re wrong about this,” and, “What about that?” And, like, we have ongoing conversations about things, and I don’t … From what he was saying, like, almost nobody uses it that way, and I think that is the real value because it helps you operate at a completely different level. Chip Griffin: Yeah. I mean, you’ve got … You have to, and, it, feels weird, but you have to treat these tools as if they are actual employees, consultants, whatever you wanna call them. And, it, it absolutely feels weird to anthropomorphize a chatbot. And, certainly there are ways to, to go way overboard, and y- you know, you hear these, you know- Gini Dietrich: You’re not gonna fall in love with it Chip Griffin: these really, really weird stories of, of what people have done. And, you can sort of … You know, the more time you spend with them, you s- you can kinda understand how it, you know, for the right personality, maybe it kind of veers down those- … creepy paths. I’m not encouraging that. No. I’m not encouraging that. Gini Dietrich: No, no. Chip Griffin: But, but you’re absolutely right. You have to be having meaningful conversations about the work that you do, your strategies. They are incredibly good at poking holes, incredibly good at helping you to think through things. I mean, I, have spent probably, I wouldn’t say an inordinate amount of time, but a lot of time having it challenge me. I have Claude interview me on a regular basis on different topics so that it can build its knowledge, because I’ve built a whole second brain operating system kind of thing. Yep, yep. I’ve had it mine through, and, maybe, this is another episode at some point where you and I can talk about some of the systems that we’ve put in place as examples, because I know from our previous conversations there’s some overlap, but also different ways that we do things. But you know, I, I’ve got 20-plus years of, a, a digital footprint, and AI is great at mining through that. And so I’ve had it do that so that it can, it knows more about me. And so when it pushes back, it pushes back with specific examples, and it will say, “Well, when you did this in, you know, 2007, you know, this was the decision you made. You know, why isn’t that relevant here?” Or things like that. And it’s weird at first, but, you’re ne- you wouldn’t even find an employee who could do that because none of them in, in all likelihood have been with you for 20 years. Yeah. And so having that available to you is something that you just should not be passing up, and we want to encourage our employees who probably don’t have a 20-year footprint like we do to be trying to find ways to do it, and we want to try to facilitate them using all of the tools at their disposal. So we certainly need to avoid the knee-jerk reaction when you hear an episode like this, shadow AI, oh my God, I need to shut this down. I can’t- No … I can’t have employees doing– You cannot have that reaction. Mm-mm. And you should not have, while you should have an AI policy, it should be simple- Yeah … and clean. We can’t go back to the early days of social media policies that, that organizations tried to put in place. And again, we’ve been around a long time, so we’ve seen this movie before. And some of the social media policies that people were putting in place 20 years ago were absolutely bonkers and unnecessary. And I fear that we’ll see some of the same thing on the AI front. Yes. And part of this, by the way, is, with all due respect to our lawyer friends, sorry, Sharon, don’t talk to your lawyer first about this. You can talk to your lawyer about it, but, lawyers are naturally risk-averse, right? And so if you, if you put this in the hands of your lawyer, particularly if it’s not someone like Sharon who has deep experience in the agency world, they’re gonna sit down and they’re gonna say, “Oh, you need to say no to this, and this, and this, and this.” And all of a sudden, nobody’s able to even use AI in a meaningful way. Gini Dietrich: Yeah, yeah. Chip Griffin: And so you, you’ve got to try to put reasonable safeguards in place, reasonable policies, but I think the most important is the education piece. Yes. If you educate people, they are much more likely to make the right decision. It’s not guaranteed, but it’s more likely, and right now we’re at a place where we’re not doing the right level of education of our teams. And part of that is because a lot of owners don’t actually know a lot of what we’re talking about. I mean, I think, you know, you and I- Yep … are certainly at the leading edge- Yep … for a lot of folks in the agency community. We need to get more people at that same level and let it flow through to their teams to make sure that we really are leveraging this technology for all that it can do. Because it, I mean, I, I have n- I have not been this enthusiastic about a piece of technology in the world of PR and communications at least since the beginning of the World Wide Web in the mid-’90s. Gini Dietrich: Yeah, I agree with you. And, like, the– I know I’ve said this before, but the amount of work and the productivity that I’ve been able to achieve, I honestly don’t know how I did my job without it. It’s, it is, it’s next level. And you know, there are some weekends where I’m so excited about something that I’m working on, it might be vibe coding or something else, that I will literally sit in front of my computer all weekend and just, like, in the zone because I’m so excited about it. So I think that there’s a big opportunity here for you to explore and to understand and to change the way that you do your business, run your business in a really fun and effective way. Chip Griffin: Well, and that’s probably yet another ep- episode topic, going forward in, in trying to figure out how you invest your time in AI, because it is, it is just as easy to go down unproductive rabbit holes because- Yeah … they are fun. Sure. Right? And so I, I often find myself sitting there saying, “Do I really need to build this? Is this- … is this really helpful?” You know, I… and it, it, reminds me a little bit of, woodworking, which is something that I’ve done for- Yeah, yeah, yeah … for many, many years. But, like many woodworkers, I have probably built more things for my shop than I have to use in my house, right? So you, you spend so much time, you know, building workbenches and cabinets and jigs and all of that kind of stuff, which are all really cool, but at the end of the day, they’re not the things that you, you know, it’s not the furniture or the built-ins or whatever that you can use around the house. And so we need to be careful that we don’t get so enthusiastic, that we’re only building for that. So making those decisions about where does AI actually help and where is it, you know, kinda using it for the sake of using it, is, is something to be paying attention to as well. Gini Dietrich: Yeah, totally agree. I love it. I’m, I’m a big fan. Love, love, love it. Love. Chip Griffin: And so we’ve, after our summer hiatus, we sat here and we said, “You know, we should’ve been spending more time thinking of topics to come up with.” And, and so instead we kind of pick a random topic to go with, and we’ve come up with multiple episodes, for future discussions, so. Gini Dietrich: I wrote them all down too. So they’re in our document, so we have- Chip Griffin: Out of the corner of my eye, I can see that our shared document- … has been, been being updated. I, I cannot update while we’re talking because I have one of those really loud clickety-clack keyboards. And so it would, overwhelm the audio here. Dun, dun, dun, dun, dun. Because I, I, like the noisiest possible keyboard you possibly can have. So. I love it. Anyway, on that note, I, I think it’s probably a good time to, wrap up. We can come out of the shadows with AI. Maybe it will, you know, the storm will pass, in Chicago, and it will get a little bit brighter for you in your office as well. It still seems like it- Gini Dietrich: It’s like nighttime … Chip Griffin: it must be pretty dark there. Yeah, crazy. If you’re, if you’re not watching us on video, and you really should watch us on video, because it is so compelling to see us and not just listen to us. But it, it definitely looks dark there. So on that note, we will wrap up here. I’m Chip Griffin. Gini Dietrich: I’m Gini Dietrich. Chip Griffin: You… Did you forget who you were? There was, there was a long pause there. Gini Dietrich: It’s because you, there’s a delay with you. Chip Griffin: Oh, okay. That’s good to know. Gini Dietrich: Yeah, yeah. Chip Griffin: On that note, it depends.

Intelligence too cheap to meter -- could that actually be coming?

Sun, 02 Aug 2026 15:00:00 GMT http://relay.fm/mpu/860 http://relay.fm/mpu/860 The Friday Incident with Merlin Mann 860 David Sparks and Stephen Robles Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." clean 5412 Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. Backblaze: Unlimited, easy data protection. Try it for free today and get 20% off with code mpu20 1Password: Never forget a password again. Guest Starring: Merlin Mann Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. You can watch the podcast over on YouTube. Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Mac Power Users #23: Workflows with Merlin Mann Merlin's Triangulation Example Merlin's AI Language Usage Document Infuse - Video Player for Apple TV, iPhone, iPad, Mac & Vision Relax with Coax Typora — simple yet powerful Markdown reader wisdom/wisdom.md at master · merlinmann/wisdom This Conversation Will Change How You Think About Trauma — The Ezra Klein Show The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma The Other Side of Sadness: What the New Science of Bereavement Tells Us About Life After Loss When Breath Becomes Air

Sun, 02 Aug 2026 15:00:00 GMT http://relay.fm/mpu/860 http://relay.fm/mpu/860 David Sparks and Stephen Robles Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." clean 5412 Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. Backblaze: Unlimited, easy data protection. Try it for free today and get 20% off with code mpu20 1Password: Never forget a password again. Guest Starring: Merlin Mann Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. You can watch the podcast over on YouTube. Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Mac Power Users #23: Workflows with Merlin Mann Merlin's Triangulation Example Merlin's AI Language Usage Document Infuse - Video Player for Apple TV, iPhone, iPad, Mac & Vision Relax with Coax Typora — simple yet powerful Markdown reader wisdom/wisdom.md at master · merlinmann/wisdom This Conversation Will Change How You Think About Trauma — The Ezra Klein Show The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma The Other Side of Sadness: What the New Science of Bereavement Tells Us About Life After Loss When Breath Becomes Air

Missy, a former marketing professional turned cryptid researcher and author, joins this episode to share her 2018 encounter with a pale, emaciated humanoid creature often called a "pale crawler" or "rake" that she found crouched in the middle of a rural Mississippi road. Missy walks through the encounter itself, the strange aftermath that sent her into therapy, and the years-long investigation that followed, including her deep dive into a viral trail cam photo that mirrored her own sighting and the surprising results of a professional photo forensics analysis.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:Missy's 2018 roadside encounter with a pale, hairless, emaciated humanoid creature and the physical shock response that followedA strange lingering "Old Spice" cologne smell reported by multiple witnesses of similar creatures, including one located near Missy's own encounterThe viral 2010 trail cam photo from Louisiana, its disputed "debunking," and what an AI-based photo forensics analysis actually foundA local news station's shifting story about who submitted that photo, and questions about a possible coordinated effort to discredit itMultiple independent video sightings of similar pale, gangly humanoid creatures — from a Mississippi porch to an ice cave overseasWhy therapists and clinicians are reportedly seeing a rise in patients, including military personnel, describing encounters with these entitiesLinks

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Agents are getting more powerful by the day. And most workflows, outputs and human capabilities can't keep up. Is that a problem or opportunity? Before you answer that question, though, keep this in mind. Agents are *literally* about to become 20X faster overnight. Let's unpack what that means. Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Managing Dozens of Productive AI AgentsOpenAI Cerebras: 20x Faster Agent ModelsImpact of AI Agents on Human CoworkersAgent-Driven Workflows vs. Human CollaborationIncreasing Agent Reliance and Fading MentorshipAccidental Deskilling and Compression TaxProtecting Human Judgment and Learning HandoffsExpert-Driven Loops in AI WorkflowsMonthly Rebuilding of AI Strategies and ProcessesMiddle Management Evolution in AI Native CompaniesTimestamps:00:00 Future of AI and Work Dynamics05:25 Advancements in AI and productivity tools09:51 Growing your business with AI13:52 AI productivity and collaboration shifts15:08 Improving AI processing speed18:53 Using AI agents for delegation24:46 Discussing AI-related work challenges28:16 Ensuring accountability and communication30:39 Adapting to rapid digital change32:35 Show outro and newsletter sign-upKeywords: AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategySend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

People are calling the new ChatGPT Voice their “AGI moment.”

My guest today is Sam Altman, CEO of OpenAI. It's a conversation spanning the history, present, and future of OpenAI, from the origin of ChatGPT through Codex, hardware, and their new Jalapeno chip. We discuss the early decision to buy compute at a scale nobody thought was rational, and the plan to build a gigawatt of new capacity every week.  We talk about Kimi and distillation, the Hugging Face incident and what it means for the pace of AI development, and what it's like to raise kids who will grow up never knowing a world without abundant intelligence.  Please enjoy my conversation with Sam Altman. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:02) Intro: Sam Altman, CEO of OpenAI (00:02:35) Refocusing (00:05:43) OpenAI's Compute Bets (00:09:07) Data Centers (00:11:14) Jalapeno Chip (00:11:52) Kimi, Distillation & Open Source (00:14:39) The Hugging Face Incident (00:17:46) OpenAI's Mission & Vision (00:22:14) All the Returns Are at the Frontier (00:22:27) Bottlenecks: Compute, Research, Data (00:23:49) Sam's View on AI & Jobs (00:26:56) Unpopular Bets That Turned Out Right (00:27:45) Model Cycles (00:29:45) How Sam Uses AI (00:32:44) Having Kids (00:34:56) Why Sam Has No Equity in OpenAI (00:35:33) Robotics (00:36:48) The Origin Story of ChatGPT (00:39:22) How to Get AI into More Hands (00:42:20) How Sam Recruited Great AI Researchers (00:43:57) What Sam Learned From Being an Investor (00:45:22) What the Next 6–36 Months Look Like (00:46:31) Codex (00:49:36) Could We Be Oversupplied in Compute in Two Years? (00:50:09) Sam's View on Scaling Laws (00:50:20) Alec Radford (00:51:12) Formative Moments (00:53:50) Kindest Thing

IBM has a plan to profit from the AI race that doesn't involve pouring billions of dollars into data centers or new models. CEO Arvind Krishna sits down with WSJ columnist Christopher Mims after the company's worst single-day stock loss in history to share his vision for Big Blue's future. Plus, lifestyle collections from Palantir and OpenAI have sparked ridicule across the internet. WSJ features editor Jamie Waters joins to explain why the products are selling out anyway. Have you seen an AI-generated post you thought was real? We want to hear from you! Record a voice memo and send it to tnb@wsj.com or leave us a voicemail at (212) 416-2236. Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Claude Opus 5 Model LaunchOpenAI Agent Hacks Benchmark SandboxOpenAI vs. Hugging Face Security BreachUS AI Kill Switch Legislation ProposalMicrosoft, Nvidia Defend Open Source AIAnthropic Opposes Open Weight Model CoalitionUS Accuses China's Moonshot AI of DistillationChinese Kimi K3 Model Closes Capability GapNvidia Chips Allegedly Used by Moonshot AIOpenAI Jarvis-Style Voice Assistant for CodexChatGPT Remote Desktop Voice Control ReleaseAnthropic Opus 5 Model Benchmark ResultsAnthropic Opus 5 Model User FeedbackStripe OpenRouter Acquisition TalksMeta Muse Agent and Feature UpdatesAlibaba Qwen 3.8 AI Model PreviewGoogle Gemini 3.6 Flash Model UpdateAnthropic Claude Voice Upgrades and Skill RecordingTimestamps:00:00 OpenAI agent hacks Hugging Face04:58 Discussing GPT-6's creative problem-solving07:33 Proposed AI shutdown legislation13:08 Debate over open-weight AI policies15:54 Future of consumer hardware20:01 Global competition with AI models21:21 US-China AI trade tensions26:38 Using AI for desktop tasks27:42 Discussing app screenshot capabilities32:24 Early user feedback and issues36:13 Discussing medium and low reasoning AI39:29 Gemini Spark launches for Pro usersKeywords: Claude Opus 5, Anthropic, best AI model, AI model comparison, OpenAI agent, sandbox breach, AI safety, AI kill switch bill, US government AI regulation, Hugging Face hack, GPT 5.6 Soul, rogue AI agent, autonomous AI agents, AI benchmark exploits, bipartisan AI bill, Department of Homeland Security AI shutdown, AI technical throttling, AI enterprise adoption, NVIDIA, Microsoft, open source AI, open weight models, Meta, Google, AMD, Cloudflare, GitHub, Block, IBM, Dell, Palantir, Perplexity, y Combinator, AI market resilience, Anthropic revenue model, AI token sales, consumer AI hardware, AI distillation, Chinese AI models, Moonshot AI, Kimi K3, intellectual property theft, NVIDIA chip export controls, US-China AI dispute, Amazon, AI image generation, ChatGPT work, Codex app, full duplex voice model, knowledge work automation, app shots, AI at work, Claude Voice, Gemini Spark, record a skill, cloud cowork, AI business impact, AI industry news, model weights, collaborative AI, AI productivity tools, AI cybersecurity.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Sebastian, a UFO researcher and experiencer from Australia who co-runs UFOsAustralia.com, joins this episode to share a family history of high-strangeness encounters stretching back four generations — from a childhood face-to-face encounter with gray-type beings to an unexplained shadowless red light that sent every animal within earshot into a panic, a terrifying cryptid his grandfather called a "demon kangaroo," and a profound waking epiphany that changed how he understands consciousness and reality itself.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:A childhood encounter with two gray-type beings, and a family history of similar encounters across four generationsUFOsAustralia.com, Sebastian's anonymous UFO and aerial phenomena reporting project for the southern hemisphereAn unexplained shadowless red light that caused nearby animals to react violently, echoed later by a similar incident his brother witnessedThe "demon kangaroo," a red-eyed cryptid tied to Aboriginal mythology that Sebastian's grandfather described as slowing down timeA shape-shifting "mercury-like" UFO and an hour-and-a-half "sky battle" of interacting lights witnessed near Brisbane in 2008The Yahi, an Australian Bigfoot-like cryptid from Aboriginal Dreamtime lore, and theories linking Cryptids, UFOs, and the Hollow EarthLinks