Podcasts about Neo

We began this series asking a simple question: Is the Pugilist balanced? We continued by asking: How much damage is too much damage? Today we ask the only question left: At what point does the DM legally become a victim? Welcome to the finale of the guide to Optimizing the D&D 5e Pugilist, where the class doesn't just punch monsters, it punches D&D's encounter design. Across three episodes we've had grapples that ignore physics, exhaustion that improves performance, and damage numbers that topple dragon gods. We have reached the final stage of optimization: not just winning fights, but ending them un assisted in a single turn. Show Notes In the final installment of the RPGBOT.Podcast's series on optimizing the Pugilist in Dungeons & Dragons 5e, the hosts move from early-level performance into full class evaluation and overall design conclusions. After previously demonstrating extremely high damage output from low levels, the conversation now focuses on scaling, balance implications, and what the class actually does to a campaign over time. The episode revisits the central mechanical problem: Haymaker. The hosts repeatedly identify it as the feature that converts the Pugilist from a strong martial into a potentially disruptive one, since turning attacks into maximum damage fundamentally breaks the assumptions behind D&D 5e encounter math. As the episode continues, the class's core identity becomes clear. The Pugilist is not merely a striker; it is a layered combat engine combining advantage generation, forced positioning, resource recovery, and survivability. Features like Moxie, temporary hit points, and exhaustion mitigation allow the character to operate at peak output in nearly every encounter instead of pacing resources across the adventuring day. The conclusion of the series is less about banning the Pugilist and more about understanding its problems and how to make the class work at the table without causing problems. The class is effective, flavorful, and fun, but its mechanics change how D&D works around it. There's a real question about how much damage output is too much, and the Pugilist is clearly well past that line. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Rolling out Copilot or ChatGPT and hoping productivity magically improves rarely works. In fact, for many leaders, it creates more confusion, more noise and, in some cases, more work. In this How I AI episode, Neo and I unpack the single most important question leaders should be asking about AI adoption: how can I help my people be ready for AI? Because bringing AI into your organisation isn’t primarily a technology decision. It’s a people one. We talk through why simply handing out paid licenses without building capability often backfires, how poor AI use can actually reduce productivity, and the practical steps leaders need to get right from day one. Neo and I cover: Why AI adoption fails when leaders treat it as a software rollout instead of a change process How to clearly articulate the why so people don’t assume AI equals job replacement Using AI to reduce administrivia and free people up for more meaningful work Why “it’s intuitive” is a dangerous assumption when it comes to capability building How untrained use can create AI slop, longer emails and organisational “Chinese whispers” How searchable knowledge can unlock real productivity gains, and how poor permissions can create real risk Why training change leads or team leads is critical to embedding AI into real workflows Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Esta semana Apple tuvo tres días completos de lanzamientos y el resultado es impresionante:

Today the RPGBOT crew explains how to survive levels 1-4 without becoming a cautionary tale titled "Local Wizard College Denies Knowing This Child." We discuss the best low level sorcerer spells, metamagic optimization, and other essentials for a low level Sorcerer build. Show Notes In this episode, the RPGBOT hosts dive into the chaotic beauty of the Dungeons & Dragons 5e sorcerer from levels 1-4, exploring how to construct a functional magical character before the class truly "comes online." Early sorcerer gameplay is defined by scarcity: limited spell slots, fragile hit points, and the emotional stability of a shaken soda can. The discussion begins with the identity crisis at the heart of the class. Unlike the wizards in D&D 5e, the sorcerer does not study magic: they are magic. This shapes both mechanics and roleplay. We also discuss picking the best Sorcerer subclass. Your subclass determines not only your features, but also your big thematic parts of your character: divine heir, chaotic anomaly, draconic nepo-baby, or walking cosmic accident. The hosts emphasize survival strategy first. At levels 1-2, your goal is not dominance — it's remaining alive long enough to become interesting. Spell selection becomes critical: choosing the best level 1 5e sorcerer spells like Shield, Mage Armor, and Chromatic Orb dramatically increases longevity. Bad spell selection, meanwhile, results in a character sheet that doubles as a memorial plaque. Metamagic arrives at level 3, transforming the class from fragile caster into tactical specialist. The conversation highlights best metamagic options for a low level sorcerer such as Twinned Spell and Quickened Spell, explaining how action economy manipulation creates disproportionate power spikes in early encounters. Suddenly the Sorcerer stops being a liability and becomes the party's artillery platform. The episode closes with practical advice: early sorcerers are specialists, not generalists. You cannot solve every problem, but you can solve a few problems spectacularly. Pick a lane (damage, control, or support) and commit. A focused build produces a memorable character; a scattered one produces a smear on dungeon flooring. Key Takeaways Early D&D 5e sorcerer levels 1-4 are about survival, not dominance Always take staple defensive spells like Shield and Mage Armor Subclass choice defines both mechanics and roleplay identity Metamagic at level 3 is the class's first real power spike Metamagic like Twinned Spell and Quickened Spell dramatically improve your spells Pick a specialization: blaster, controller, or support; don't split your focus until you can learn more spells Sorcerers excel when casting fewer spells more effectively Strong backstory enhances the experience of roleplaying a sorcerer in D&D 5e A bad spell list hurts more than low hit points Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Today the RPGBOT crew explains how to survive levels 1-4 without becoming a cautionary tale titled "Local Wizard College Denies Knowing This Child." We discuss the best low level sorcerer spells, metamagic optimization, and other essentials for a low level Sorcerer build. Show Notes In this episode, the RPGBOT hosts dive into the chaotic beauty of the Dungeons & Dragons 5e sorcerer from levels 1-4, exploring how to construct a functional magical character before the class truly "comes online." Early sorcerer gameplay is defined by scarcity: limited spell slots, fragile hit points, and the emotional stability of a shaken soda can. The discussion begins with the identity crisis at the heart of the class. Unlike the wizards in D&D 5e, the sorcerer does not study magic: they are magic. This shapes both mechanics and roleplay. We also discuss picking the best Sorcerer subclass. Your subclass determines not only your features, but also your big thematic parts of your character: divine heir, chaotic anomaly, draconic nepo-baby, or walking cosmic accident. The hosts emphasize survival strategy first. At levels 1-2, your goal is not dominance — it's remaining alive long enough to become interesting. Spell selection becomes critical: choosing the best level 1 5e sorcerer spells like Shield, Mage Armor, and Chromatic Orb dramatically increases longevity. Bad spell selection, meanwhile, results in a character sheet that doubles as a memorial plaque. Metamagic arrives at level 3, transforming the class from fragile caster into tactical specialist. The conversation highlights best metamagic options for a low level sorcerer such as Twinned Spell and Quickened Spell, explaining how action economy manipulation creates disproportionate power spikes in early encounters. Suddenly the Sorcerer stops being a liability and becomes the party's artillery platform. The episode closes with practical advice: early sorcerers are specialists, not generalists. You cannot solve every problem, but you can solve a few problems spectacularly. Pick a lane (damage, control, or support) and commit. A focused build produces a memorable character; a scattered one produces a smear on dungeon flooring. Key Takeaways Early D&D 5e sorcerer levels 1-4 are about survival, not dominance Always take staple defensive spells like Shield and Mage Armor Subclass choice defines both mechanics and roleplay identity Metamagic at level 3 is the class's first real power spike Metamagic like Twinned Spell and Quickened Spell dramatically improve your spells Pick a specialization: blaster, controller, or support; don't split your focus until you can learn more spells Sorcerers excel when casting fewer spells more effectively Strong backstory enhances the experience of roleplaying a sorcerer in D&D 5e A bad spell list hurts more than low hit points Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Apple ha lanzado el MacBook Neo a 599 dólares con el chip A18 Pro y ya se ha montado el circo de siempre: que si chip de móvil, que si 8GB son una broma, que si el Geekbench sale igual que el M1 de 2020. En este episodio lo desmontamos todo con datos reales y contexto real. El A18 Pro no es "el chip del iPhone". Es Apple Silicon de cuarta generación, fabricado en el mismo proceso de 3nm que el M4, con la misma arquitectura ARMv9.2, ray tracing acelerado por hardware, 35 TOPS de Neural Engine —tres veces más que el M1— y memoria LPDDR5X. Todo eso en un portátil de 600 euros. En este episodio explicamos por qué el multi-core de Geekbench es el número equivocado para juzgar este equipo, cómo el A18 Pro supera al M1 en un 47% en single-core —que es lo que importa para el uso real de este Mac—, qué hace exactamente la gente con un portátil de este precio y para qué tipo de usuario está pensado el Neo, el Air M5 y el Pro M5.Ni fanboys ni haters: solo contexto técnico para entender lo que Apple ha hecho aquí y si tiene sentido para ti. Todo el contenido de Apple Coding Daily, junto con podcasts, vídeos, masterclasses y artículos, está disponible en la app Be Native (benative.dev). El desarrollo ha cambiado para siempre con la llegada de los agentes de IA, y para poder sacarle el mayor provecho y ser un desarrollador de los que buscan las empresas por su ultra-productividad, tienes que ser un Maestro: consígue la Maestría con el Swift Mastery Program 2026. Descárgala ya desde el App Store: Be Native y escúchanos desde ahí. Suscríbete a nuestro canal de Youtube: Apple Coding en YouTube Descubre nuestro canal de Twitch: Apple Coding en Twitch. Descubre nuestras ofertas para oyentes: - Cursos en Udemy (con código de oferta) - Apple Coding Academy - Suscríbete a Apple Coding en nuestro Patreon. - Canal de Telegram de Swift. Acceso al canal. --------------- Consigue las camisetas oficiales de Apple Coding con los logos de Swift y Apple Coding así como todo tipo de merchadising como tazas o fundas. - Tienda de merchandising de Apple Coding.

Grab your pallet of SpaghettiOs and join Ghost Busey for an all new LIVE! This week, the Boiz continue their cinematic journey. Matt watches Road House for the first time. Pat hates Snow White. Indiana Jones is dirty Bond. Plus, can Neo surf? Is ET from Endor? Who is that Egyptian guy from all the textbooks? Don't meet Matt's really creepy heroes. Especially when it all happens LIVE!

On Episode 254 of K12 Tech Talk, Josh, Chris, and Mark break down Apple's big announcement: the Mac Neo, a $499 laptop that many call a potential Chromebook killer. They compare specs, durability, repairability, management with Apple School Manager, resale value, and the extra operational costs and security considerations (EDR, content filtering, app installs) for school districts. The hosts debate whether the Neo could replace student Chromebooks or target staff and teacher devices first. The episode also covers recent education tech news: a $1.1M California fine against PlayOn for deceptive data‑sharing practices, College Board's ban on smart glasses during exams, and Arkansas HB78 proposing a ban on passive screen time in Pre‑K and Kindergarten with mandatory teacher training. ———— Sponsored by: Meter - meter.com/k12techtalk Visit meter.com/k12techtalk to book a demo!   Eaton - SysAdmin. You live it. You know it. But how well do your colleagues actually understand what makes these teams tick? Eaton's on the scene to clear up any misconceptions. They designed A User's Guide to SysAdmins to help demystify SysAdmins and improve workplace interactions. This guide addresses everyday challenges and misconceptions that Sysadmins face and teaches your colleagues how to interact with you (their SysAdmin), what you wish they knew (but are too polite to say), and how to get their tech tickets to the top of the list. So go ahead: Print it. Forward it. Leave it in the break room with passive-aggressive annotations. Or read it aloud like dramatic slam poetry during the next all-hands. Read A User's Guide to SysAdmins here.   Incident IQ   Lightspeed Systems Fortinet Managed Methods ———— MidwestTechTalk Security Symposium/K12TechPro Meetup (Midwest) March 12th-13th, 2026 ———— Join the K12TechPro Community (exclusively for K12 Tech professionals) Buy some swag (tech dept gift boxes, shirts, hoodies...)!!! Email us at k12techtalk@gmail.com OR our "professional" email addy is info@k12techtalkpodcast.com X @k12techtalkpod Facebook Visit our LinkedIn Music by Colt Ball Disclaimer: The views and work done by Josh, Chris, and Mark are solely their own and do not reflect the opinions or positions of sponsors or any respective employers or organizations associated with the guys. K12 Tech Talk itself does not endorse or validate the ideas, views, or statements expressed by Josh, Chris, and Mark's individual views and opinions are not representative of K12 Tech Talk. Furthermore, any references or mention of products, services, organizations, or individuals on K12 Tech Talk should not be considered as endorsements related to any employer or organization associated with the guys.

A new week means new questions! Hope you have fun with these!Which 1916 battle is usually considered the worst disaster in British military history and one of the deadliest battles in human history?What Beatle band member is holding a cigarette on the cover of Abbey Road?Released on Netflix on February 16, 2026, Reality Check is a 3-part show about which former TV series and its creator?What is the term for a piece of graphic artwork that is painted or applied directly to a wall, ceiling or other permanent substrate?Which sport did James II of Scotland ban in 1457 because he felt that young men were playing too much instead of practising their archery?Author Louise Penny is well known for her detective series that stars which Chief Inspector?What British quiz show, often featuring the phrase "I've started, so I'll finish", has been on the air continuously since 1972?Which franchise of life imitation games has the player guide the daily activities, relationships, and careers of their characters?What does a manometer measure?The river that flows underground in London shares its name with what street that is familiar to theatre fans?Which spice is the costliest by weight?In describing a medical condition, what single word is used to indicate “new, recent and sudden?”Oleanna, American Buffalo and Glengarry Glen Ross are all plays written by which playwright?In Roman mythology, who is Jupiter's wife and sister?What are the three different action cards in the game Uno?In the matrix, does Neo take the blue or red pill?MusicHot Swing, Fast Talkin, Bass Walker, Dances and Dames, Ambush by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/Don't forget to follow us on social media:Patreon – patreon.com/quizbang – Please consider supporting us on Patreon. Check out our fun extras for patrons and help us keep this podcast going. We appreciate any level of support!Website – quizbangpod.com Check out our website, it will have all the links for social media that you need and while you're there, why not go to the contact us page and submit a question!Facebook – @quizbangpodcast – we post episode links and silly lego pictures to go with our trivia questions. Enjoy the silly picture and give your best guess, we will respond to your answer the next day to give everyone a chance to guess.Instagram – Quiz Quiz Bang Bang (quizquizbangbang), we post silly lego pictures to go with our trivia questions. Enjoy the silly picture and give your best guess, we will respond to your answer the next day to give everyone a chance to guess.Twitter – @quizbangpod We want to start a fun community for our fellow trivia lovers. If you hear/think of a fun or challenging trivia question, post it to our twitter feed and we will repost it so everyone can take a stab it. Come for the trivia – stay for the trivia.Ko-Fi – ko-fi.com/quizbangpod – Keep that sweet caffeine running through our body with a Ko-Fi, power us through a late night of fact checking and editing!Quiz, trivia, games, pub+trivia, pub+quiz, competition, education, comedy

Last episode we discovered the Pugilist can punch above its weight class. This episode we discovered the Pugilist can punch above the entire encounter budget. Today on RPGBOT: One character becomes a professional wrestler air-dropping enemies from low orbit One character summons eldritch tentacles to commit mathematically irresponsible violence One character crits often enough to make the Rogue question their life choices Welcome back to our D&D 5e Pugilist build guide, where "balanced combat encounter" is more of a philosophical suggestion. Show Notes In Part 2 of the RPGBOT.Podcast deep dive into the Pugilist class in Dungeons & Dragons 5e, the hosts shift from theory into practice by building actual characters and analyzing low-level combat performance (levels 1–10 gameplay). After previously discussing the core mechanics like Moxie points, exhaustion gameplay, and Haymaker damage, the episode explores how subclasses dramatically amplify the class's effectiveness, especially during tier 1 and 2 where balance matters most. Each host builds a different Pugilist archetype: A grappling-focused wrestler leveraging shove-prone and movement manipulation A spell-augmented "Hand of Dread" pugilist combining melee and warlock magic A critical-hit boxer maximizing burst damage and counterattacks The discussion highlights a major mechanical theme: the Pugilist excels at advantage generation in D&D 5e combat. By knocking enemies prone, grappling, or using subclass features, the class reliably attacks with advantage, dramatically increasing DPR (damage per round). Once Haymaker is added to the equation, damage spikes sharply. The hosts compare expected damage output to standard design math ("dude-stop damage"), demonstrating that even basic tactics can nearly reach or exceed a full party's intended damage output — especially when combining Hex, advantage stacking, and bonus attacks. The episode also examines character optimization choices such as species, feats, and ability scores. Strength and Constitution dominate builds, while backgrounds and feats further push survivability and burst damage. The result is a martial class that plays less like a traditional striker and more like a hybrid of barbarian durability, monk mobility, and rogue-style burst damage. Ultimately, Part 2 reinforces the earlier conclusion: the Pugilist's real power isn't just numbers — it's how its mechanics interact. The combination of resource refresh, exhaustion mitigation, grappling control, and burst damage allows players to reshape encounters in ways most classes simply cannot at early levels. Key Takeaways D&D Pugilist subclasses drastically increase power at levels 1–5 Grapple + shove prone creates reliable advantage in D&D combat Haymaker turns consistent hits into extreme burst damage Spellcasting options (like Hex) push DPR beyond normal martial scaling The class frequently approaches or exceeds expected 5e damage per round math Tier 1 encounters struggle against optimized Pugilist builds Strength + Constitution are the optimal Pugilist ability scores Moxie point recovery enables aggressive play every fight Exhaustion mechanics become a benefit instead of a drawback The class blends control, durability, and burst damage into one role Basic tactics alone can approach "dude-stop damage" Subclasses determine whether the Pugilist breaks balance… or demolishes it Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Apple has officially launched the MacBook Neo, a colourful and affordable 13-inch MacBook powered by the A18 Pro chip from the iPhone 16 lineup. Steven Scott and Shaun Preece break down its specs, performance expectations, and accessibility considerations for blind and low-vision users. In this episode of Double Tap, Steven and Shaun dive deep into Apple's surprise announcement of the MacBook Neo, starting at $599 ($499 for education). They explore its aluminium build, four colour options (Indigo, Blush, Citrus, and Silver), and the compromises Apple made to hit the lower price point—like 8GB of RAM, a 256GB base model, and the absence of Thunderbolt ports. They discuss how the A18 Pro chip from the iPhone 16 performs under macOS, the differences between the Neo and the MacBook Air, and why this release is a clear play for the education market against Chromebooks. They also share thoughts on accessibility, battery life, speaker quality, and whether the Neo could be a perfect entry-level Mac for blind users. The conversation then pivots to smart glasses on cruise ships, public privacy concerns, and listener emails covering Oco for road crossings, air fryer cooking hacks, and a highly recommended Bose Quiet Comfort Ultra headset. Enjoying Double Tap? Subscribe on YouTube or your favourite podcast app for daily tech conversations for the blind community. Send feedback or audio messages to feedback@doubletaponair.com Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

With one day of Apple announcements left, the MacVoices panel tackles rising RAM and storage prices and what shortages could mean for upcoming devices. Chuck Joiner, David Ginsburg, Brian Flanigan-Arthurs, Marty Jencius, Jeff Gamet, Eric Bolden, Web Bixby, and Jim Rea debate whether Apple's bigger base configs are simply planned far in advance, a response to component pricing, or a signal of hardware requirements for upcoming AI features like an improved Siri. Attention then shifts to the rumored "Neo" MacBook, its likely education focus, and whether Apple's new displays risk becoming niche due to strict compatibility limits.  http://traffic.libsyn.com/maclevelten/MV26091.mp3 Today's MacVoices is supported by TV+ Talk, our MacVoices series with Charlotte Henry focused on Apple TV+. From shows and other content to the business side there's always something to learn about apple's streaming service. Find it at the Categories listings on the web site or go directly to macvoices.com/category/tv-talk. Show Notes: Chapters: 00:00 Opening and sponsor message 00:35 RAM and storage shortages, pricing pressure 01:24 Is Apple getting ahead of inflation? 01:47 Product pipeline timing vs component leverage 02:35 Base specs as AI/Siri requirements signal 03:08 Apple margins on memory and supply resilience 04:34 What's left in announcement week? 05:50 "Neo" expectations and possible in-store focus 06:45 Neo accessories and color speculation 08:10 What people want from a small MacBook 09:56 Education market and Chromebook replacement angle 10:45 New Studio Display/XDR compatibility limits 11:22 Refresh-rate requirements and OS minimums 12:19 "It's a monitor"—why the requirements feel odd 13:30 Impact on PC users and product niche concerns 14:14 Long-term worries: minimum today, maximum later 16:02 Keeping monitors for years vs forced upgrades 17:34 Daisy-chaining and monitor feature discussion 19:16 Desk gear tangent and high-end setups 20:34 Microsoft Discord "microslop" filter story 23:56 Wrap-up and where to find the panel Links: Microsoft banned this word from its Discord server. It's now a viral phenomenon—people are using it any way they can https://www.fastcompany.com/91501766/microsoft-discord-microslop-banned-viral-phenomenon Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession 'firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Last episode we discovered the Pugilist can punch above its weight class. This episode we discovered the Pugilist can punch above the entire encounter budget. Today on RPGBOT: One character becomes a professional wrestler air-dropping enemies from low orbit One character summons eldritch tentacles to commit mathematically irresponsible violence One character crits often enough to make the Rogue question their life choices Welcome back to our D&D 5e Pugilist build guide, where "balanced combat encounter" is more of a philosophical suggestion. Show Notes In Part 2 of the RPGBOT.Podcast deep dive into the Pugilist class in Dungeons & Dragons 5e, the hosts shift from theory into practice by building actual characters and analyzing low-level combat performance (levels 1–10 gameplay). After previously discussing the core mechanics like Moxie points, exhaustion gameplay, and Haymaker damage, the episode explores how subclasses dramatically amplify the class's effectiveness, especially during tier 1 and 2 where balance matters most. Each host builds a different Pugilist archetype: A grappling-focused wrestler leveraging shove-prone and movement manipulation A spell-augmented "Hand of Dread" pugilist combining melee and warlock magic A critical-hit boxer maximizing burst damage and counterattacks The discussion highlights a major mechanical theme: the Pugilist excels at advantage generation in D&D 5e combat. By knocking enemies prone, grappling, or using subclass features, the class reliably attacks with advantage, dramatically increasing DPR (damage per round). Once Haymaker is added to the equation, damage spikes sharply. The hosts compare expected damage output to standard design math ("dude-stop damage"), demonstrating that even basic tactics can nearly reach or exceed a full party's intended damage output — especially when combining Hex, advantage stacking, and bonus attacks. The episode also examines character optimization choices such as species, feats, and ability scores. Strength and Constitution dominate builds, while backgrounds and feats further push survivability and burst damage. The result is a martial class that plays less like a traditional striker and more like a hybrid of barbarian durability, monk mobility, and rogue-style burst damage. Ultimately, Part 2 reinforces the earlier conclusion: the Pugilist's real power isn't just numbers — it's how its mechanics interact. The combination of resource refresh, exhaustion mitigation, grappling control, and burst damage allows players to reshape encounters in ways most classes simply cannot at early levels. Key Takeaways D&D Pugilist subclasses drastically increase power at levels 1–5 Grapple + shove prone creates reliable advantage in D&D combat Haymaker turns consistent hits into extreme burst damage Spellcasting options (like Hex) push DPR beyond normal martial scaling The class frequently approaches or exceeds expected 5e damage per round math Tier 1 encounters struggle against optimized Pugilist builds Strength + Constitution are the optimal Pugilist ability scores Moxie point recovery enables aggressive play every fight Exhaustion mechanics become a benefit instead of a drawback The class blends control, durability, and burst damage into one role Basic tactics alone can approach "dude-stop damage" Subclasses determine whether the Pugilist breaks balance… or demolishes it Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

MacBook Neo cuesta 599 dólares y usa chip A18 Pro en apuesta educativa masivaPor Félix Riaño @LocutorCoApple presentó el MacBook Neo como su portátil más económico. Parte desde 599 dólares y 499 dólares para estudiantes. Usa el chip A18 Pro del iPhone y promete hasta 16 horas de batería. Llega con 8 GB de memoria y 256 GB de almacenamiento. La pregunta es: ¿es una ganga real o un anzuelo para entrar al ecosistema?Apple decidió entrar de frente al terreno de los portátiles de 599 dólares. Lo hizo con el nuevo MacBook Neo. Es un equipo de 13 pulgadas, con pantalla Liquid Retina de 2.408 por 1.506 píxeles y brillo de 500 nits. Pesa 1,2 kilogramos y mide 1,27 centímetros de grosor. Tiene dos puertos USB-C, con una diferencia incómoda: uno es USB 3 de hasta 10 gigabits por segundo y el otro es USB 2 de 480 megabits por segundo.El procesador es el A18 Pro, el mismo que usa el iPhone 16 Pro. Viene con 8 GB de memoria unificada y 256 GB de almacenamiento en su versión base. La batería promete hasta 16 horas de reproducción de video y 11 horas de navegación web. El precio oficial es 599 dólares, y con descuento educativo baja a 499 dólares.Apple afirma que es hasta 50 por ciento más rápido en tareas cotidianas que el portátil más vendido con Intel Core Ultra 5, según pruebas con el benchmark Speedometer. Pero aquí viene la pregunta: ¿estamos ante un nuevo estándar de valor o ante un Mac recortado con buen marketing?Un Mac accesible… con recortesApple no solía competir en esta franja. El MacBook Air más reciente con chip M5 parte desde 1.099 dólares. El salto hasta 599 dólares es grande. La diferencia son 500 dólares. Eso cambia el público. Ahora hablamos de estudiantes, familias y personas que antes miraban un Chromebook o un portátil con Windows.El MacBook Neo mantiene el chasis de aluminio. Se siente como un Mac. Viene en colores como Citrus, Blush, Indigo y plata. Esa decisión recuerda al iBook G3 de principios de los años 2000. Apple está enviando un mensaje: este es el Mac juvenil.La pantalla conserva buena resolución y brillo. Tiene cámara de 1080p. Tiene altavoces con Dolby Atmos. Pero empiezan los ajustes: el teclado no tiene retroiluminación. El trackpad es mecánico, no háptico. Solo admite un monitor externo en 4K a 60 hercios. No tiene puerto MagSafe. Y el Touch ID solo aparece en el modelo de 512 GB que cuesta 699 dólares.Apple no está escondiendo que hubo concesiones. Está diciendo que el precio lo justifica. ¿Te parece suficiente?Aquí está el punto delicado. El MacBook Neo usa un chip de iPhone, no un chip de la serie M. Eso rompe la lógica que Apple venía construyendo desde 2020, cuando migró todos sus Mac a Apple Silicon con arquitectura pensada para computadores.El A18 Pro tiene seis núcleos de CPU. Dos de alto rendimiento y cuatro de eficiencia. Tiene cinco núcleos de GPU y soporte para trazado de rayos. En tareas ligeras como navegar, escribir y ver video, va a rendir bien. Pero en edición de video 4K, en modelado 3D o en grandes proyectos de programación, puede quedarse corto frente a un MacBook Air con chip M.Además, los 8 GB de memoria son el límite. No hay opción de 16 GB. En 2026, muchos usuarios ya consideran 8 GB como el mínimo justo. Si abres muchas pestañas, videollamadas y apps al mismo tiempo, vas a notar presión en el sistema.Otro detalle: solo uno de los puertos USB-C es USB 3. El otro es USB 2. Eso significa que puedes conectar un monitor o tener transferencia rápida, pero no todo a la vez con la misma velocidad. Para un equipo pensado para estudiantes, puede ser suficiente. Para alguien que quiere crecer con el equipo, puede sentirse limitado.Entonces surge la duda real: ¿es una puerta de entrada inteligente o una forma de segmentar más el mercado para empujar después al usuario hacia modelos más caros?Apple no improvisó este movimiento. El mercado de portátiles económicos estaba dominado por Chromebook y por equipos Windows de menos de 700 dólares. Muchos de ellos ofrecen buena batería y rendimiento aceptable. Lo que Apple aporta aquí es construcción premium, integración con iPhone y acceso completo a macOS Tahoe.El MacBook Neo permite copiar y pegar entre iPhone y Mac. Permite usar apps del ecosistema. Está preparado para Apple Intelligence. Eso significa que Apple quiere que el usuario joven entre al ecosistema temprano y luego, cuando necesite más potencia, suba a un Air o a un Pro.Desde el punto de vista estratégico, tiene lógica. Desde el punto de vista técnico, hay límites claros. Si eres estudiante que escribe, navega y hace trabajos en la nube, este equipo puede ser suficiente durante varios años. Si eres creador de contenido, diseñador o desarrollador exigente, probablemente vas a necesitar un modelo con chip M y más memoria.El precio de 599 dólares lo convierte en el Mac más accesible de la historia en lanzamiento oficial. Eso cambia la conversación. Pero también redefine qué entendemos por “Mac completo”.La decisión final no es emocional. Es práctica. ¿Qué vas a hacer con él todos los días?El lanzamiento ocurrió junto a otros anuncios como el iPhone 17e y los nuevos MacBook Pro con chip M5 Pro y M5 Max. El contraste es fuerte. Mientras el Neo baja a 599 dólares, el MacBook Pro de 16 pulgadas puede superar los 7.000 dólares en configuraciones altas.El Neo pesa 1,2 kilogramos. Es el mismo peso que el MacBook Air. Su batería es de 36,5 vatios hora. Apple afirma hasta 16 horas de video. Esa cifra suele medirse en condiciones controladas, con brillo moderado y aplicaciones optimizadas. En uso real puede variar.En Reino Unido y la Unión Europea, el cargador no viene incluido en la caja. Solo el cable USB-C. En Estados Unidos sí incluye adaptador de 20 vatios. Ese detalle reduce costos logísticos y ambientales, pero también puede generar molestias.El descuento educativo baja el precio a 499 dólares. Eso lo pone en territorio de iPad Air. Apple está compitiendo contra su propio catálogo. Si alguien duda entre un iPad con teclado y un MacBook Neo, ahora la diferencia es menor.Y algo más: solo soporta un monitor externo. Para quien usa dos pantallas, esto es un límite concreto. No es un detalle menor.Todo esto configura un producto atractivo, pero muy medido. Apple calculó cada concesión.El MacBook Neo abre la puerta de entrada al ecosistema Mac desde 599 dólares. Ofrece buen diseño y rendimiento suficiente para tareas básicas. Tiene límites claros en memoria y puertos. Antes de comprar, revisa qué uso real le vas a dar.Cuéntame qué opinas y sígueme en Flash Diario.Resumen para TikTok (20 palabras)MacBook Neo cuesta 599 dólares, usa chip de iPhone y apunta a estudiantes. Buen precio, pero con límites claros.BibliografíaWallpaperWiredThe TelegraphTechRadarMacRumorsPCMagMacworldCreative BloqConviértete en un supporter de este podcast: https://www.spreaker.com/podcast/flash-diario-de-el-siglo-21-es-hoy--5835407/support.Apoya el Flash Diario y escúchalo sin publicidad en el Club de Supporters. 

En Applelianos hoy venimos venenosos: Apple acaba de sacar el MacBook Neo, el “Mac para pobres” que de pobre tiene lo justito, porque empieza en 699 € pero viene disfrazado de chollo premium con A18 Pro, aluminio y colorines de catálogo de influencer arrepentido. Es el primer portátil de entrada con corazón de iPhone, pantalla de 13", 8 GB de RAM y hasta 512 GB de almacenamiento, pensado para que navegues, curres, veas Netflix, edites algo ligero y, sobre todo, te autoengañes diciendo que “con este ya tiro años” mientras Apple se frota las manos. --------------------------------------------------------------------------------------- En este episodio nos reímos de la estrategia de Apple, de cómo ha colocado el Mac más barato de la gama para pescar a estudiantes, switchers de Windows y a todos los que juraron que no volverían a un portátil con 8 GB, pero aquí están mirando colores “rosa nube” y “amarillo cítrico” a las tres de la mañana. Hablamos de rendimiento real del A18 Pro, de si un chip de iPhone tiene sentido en un Mac, de la pantalla, de la batería que promete hasta 16 horas y de si este Neo es el portátil perfecto para el día a día o la puerta de entrada a tu próxima ruina tecnológica. --------------------------------------------------------------------------------------- También comentamos dónde encaja frente a los MacBook Air y Pro, cuánto hay de innovación y cuánto de marketing, y confesamos si nosotros nos lo compraríamos o lo regalaríamos a ese amigo que siempre dice “yo con un navegador tengo suficiente” mientras tiene 74 pestañas abiertas y Spotify sonando en segundo plano. Humor ácido, cero pelos en la lengua y muchas ganas de destripar al nuevo niño bonito de Cupertino: si Apple quería un Mac para masas, aquí estamos nosotros para contarte la parte de la historia que no sale en el evento privado. --------------------------------------------------------------------------------------- #MacBookNeo #Apple #MacBook #AppleEvent #Applelianos #Tecnología #PodcastTech #MacBookBarato #A18Pro #ReviewEnEspañol #AppleLaunch --------------------------------------------------------------------------------------- https://seoxan.es/crear_pedido_hosting Codigo Cupon "APPLE" --------------------------------------------------------------------------------------- //Enlaces https://docs.google.com/spreadsheets/d/1J04kxcx_OoU2pXo1MZxUars8HVpEf4wQ3J-4--G-oBs/edit?usp=sharing --------------------------------------------------------------------------------------- PATROCINADO POR SEOXAN Optimización SEO profesional para tu negocio https://seoxan.es https://uptime.urtix.es --------------------------------------------------------------------------------------- PARTICIPA EN DIRECTO Deja tu opinión en los comentarios, haz preguntas y sé parte de la charla más importante sobre el futuro del iPad y del ecosistema Apple. ¡Tu voz cuenta! --------------------------------------------------------------------------------------- ¿TE GUSTÓ EL EPISODIO? ✨ Dale LIKE SUSCRÍBETE y activa la campanita para no perderte nada COMENTA COMPARTE con tus amigos applelianos --------------------------------------------------------------------------------------- SÍGUENOS EN TODAS NUESTRAS PLATAFORMAS: YouTube: https://www.youtube.com/@Applelianos Telegram: https://t.me/+Jm8IE4n3xtI2Zjdk X (Twitter): https://x.com/ApplelianosPod Facebook: https://www.facebook.com/applelianos Apple Podcasts: https://apple.co/39QoPbO ---------------------------------------------------------------------------------------

Apple cerró su semana de lanzamientos con un producto inesperado: la MacBook NEO. Una Mac pensada para estudiantes, usuarios nuevos y para quienes quieren entrar al ecosistema Apple al menor precio posible. ✔️ Desde 599 dólares✔️ Chip A18 Pro (sí, el del iPhone 16 Pro)✔️ macOS completo funcionando sobre arquitectura de iPhone✔️ Pantalla Liquid Retina de 13 pulgadas✔️ 16 horas de autonomía✔️ Diseño ultraliviano con nuevo anodizado✔️ Cámara FaceTime 1080p con Center Stage✔️ Wi-Fi 6 y Bluetooth 6 Pero también tiene limitaciones importantes: ⚠️ Solo 8 GB de RAM⚠️ Sin posibilidad de ampliación⚠️ Desde 256 GB de almacenamiento⚠️ Menos potencia que la MacBook Air M5

Europe does not have a deep tech problem. It has a commercialisation problem.The last European companies to reach €100B+ market caps were SAP and ASML, both founded 40–50 years ago. If Europe wants a new generation of deep tech champions, venture capital alone won't get us there. Customers have to step in.In this episode, Andreas Munk Holm is joined by Martin Schilling, former operator, investor, and founder of Deep Tech Momentum, to unpack why Europe excels at funding breakthroughs, but consistently fails to industrialise them.This is a conversation about:why enterprise buyers are the missing link in European deep techwhat corporates are doing wrong (and how they can fix it)how founders actually win large customers in complex, regulated marketsand why courage — not grants — is Europe's real constraintShare

Apple heeft vandaag een opvallend goedkope laptop gepresenteerd: de MacBook Neo, vanaf 699 euro. Dat is een primeur, want nog nooit bracht Apple een MacBook uit onder de duizend euro. In plaats van een M-chip, zoals in de MacBook Air en Pro, gebruikt de Neo de A18 Pro uit de iPhone 16 Pro. Voor 699 euro krijg je een 13 inch laptop met 8GB werkgeheugen en 256GB opslag. De 512GB-versie kost 799 euro en krijgt ook TouchID in het toetsenbord. Wie inlevert op prijs, levert ook in op specs. MagSafe, Thunderbolt en toetsenbordverlichting ontbreken. Er zitten twee usb-c-poorten op, er wordt geen lader meegeleverd en de accuduur van 16 uur ligt iets lager dan de 18 uur van de MacBook Air. Het toestel is er in vier kleuren: zilver, indigo, roze en citrusgroen. Apple mikt duidelijk op studenten en scholieren, het segment waar Chromebooks en betaalbare Windows-laptops tot nu toe domineren. Opvallende timing ook: techproducten worden de komende tijd naar verwachting juist duurder, door krapte op de markt voor geheugenchips. De MacBook Neo is vandaag te bestellen en wordt vanaf 11 maart geleverd. BNR test hem binnenkort mogelijk ook in De Schaal van Hebben. See omnystudio.com/listener for privacy information.

Desglosamos las especificaciones de los nuevos chips M5 Pro y Max, el salto a los 120Hz del Studio Display XDR y qué significa realmente la aparición del modelo "Neo" en la web de Apple. No te lo pierdas!!

It's been a big week for Apple. Suzi and Jason break down the new MacBook Pro models with M5 Pro and M5 Max, the refreshed iPad Air, and the updated iPhone 17e. They also talk about Apple's surprise new addition, the Neo laptop, a more affordable Mac aimed at bringing the MacBook experience to more people. Jason also dives into Resident Evil Requiem, revisits Nintendo's Virtual Boy era on Switch, and rounds up the wildest tech from Mobile World Congress — including robotic camera phones and foldable gaming handhelds.#Apple #Neo #GadgetShowPodcastThe Gadget Show competition is officially back, with a massive £5,000 tech prize fund up for grabs via CeX! Enter via our Patreon: https://www.patreon.com/thegadgetshowHuge thanks to CeX for supporting the Podcast. Want to bag yourself a tech bargain or trade in your old gear? Head over to www.webuy.comFull competition Terms and Conditions can be read here: https://www.patreon.com/posts/gadget-show-and-150646343To get in touch with the Gadget Show Podcast, email: contact@northone.tvA North One ProductionProduced by Ewan Keil & Tom ClintSocial: @TheGadgetShowEmail: contact@northone.tv#TheGadgetShow #CeX Hosted on Acast. See acast.com/privacy for more information.

Proton-Drive Angebot

Send a textDoes our fear of necrotizing enterocolitis do more harm than good? In this live episode from the Neo conference, Ben and Daphna sit down with Dr. Ariel Salas to challenge the "culture of fear" surrounding neonatal nutrition. Dr. Salas argues that while we obsess over ill-defined NEC risks, we may be sacrificing the proven benefits of early feeding on sepsis reduction. From the emotional weight of "wasted" breast milk to the "illusion of control" provided by strict protocols, this conversation urges neonatologists to move toward a family-centered, evidence-based approach that prioritizes human milk over clinical hesitation.Support the showAs always, feel free to send us questions, comments, or suggestions to our email: nicupodcast@gmail.com. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below. Enjoy!

For episode 119 we have show host @NosaEke give us a mix of modern R&B, Neo-soul & more. Visuals available for streaming on YouTube Music that moves you #SoundsBySa - Ep. 119 Full tracklist available in YouTube description (Track IDs)

Curiosinautas… este no es un episodio más.Esta semana se cruzaron tres fuerzas enormes:⚙️ Tecnología

In dieser Folge von Betreutes Fühlen sprechen Leon und Atze über ganz neue Gefühle und die Frage, was diese uns bringen. Von Nostalgie als tödlicher Krankheit bis zu Doomscrolling, Ökoangst und Impostor-Syndrom: Wir schauen, was Emotionshistoriker:innen über emotionale Trends sagen – und warum Begriffe mehr tun, als nur zu beschreiben. Warum hilft es, Gefühle feiner zu benennen? Und wo brauchen wir Kritik an einer übertherapeutisierten Gefühlskultur? Fühlt euch gut betreut Leon & Atze Instagram: https://www.instagram.com/leonwindscheid/ https://www.instagram.com/atzeschroeder_offiziell/ Mehr zu unseren Werbepartnern findet ihr hier: https://linktr.ee/betreutesfuehlen Tickets: Atze: https://www.atzeschroeder.de/#termine Leon: https://leonwindscheid.de/tour/ Vorverkauf 2026: https://betreutes-fuehlen.ticket.io/ Quellen Barclay, K. (2025). Imagining neo-emotions: Historical perspectives. Emotion Review. https://doi.org/10.1177/17540739251359945 Barclay, K. (2025). Loneliness in world history. Routledge. Bound Alberti, F. (2019). A biography of loneliness: The history of emotions. Oxford University Press. Cottingham, M. (2023). Neo-emotions: An interdisciplinary research agenda. Emotion Review, 16(1), 5–15. https://doi.org/10.1177/17540739231198636 Deutschlandfunk Kultur. (o. J.). Gefühle, Emotionen, Millennials: Gefühligkeit und Sprache. https://www.deutschlandfunkkultur.de/gefuehle-emotionen-millenials-gefuehligkeit-sprache-100.html Dodman, T. (2018). What nostalgia was: War, empire, and the time of a deadly emotion. University of Chicago Press. Hardy, S. (o. J.). Invent your own emotion. Conflict Management Academy. https://conflictmanagementacademy.com/invent-your-own-emotion/ Ip, K. I., Yu, K., & Gendron, M. (2024). Emotion granularity, regulation, and their implications in health: Broadening the scope from a cultural and developmental perspective. Emotion Review, 16(4), 224–237. https://doi.org/10.1177/17540739231214564 Matt, S. J. (2011). Homesickness: An American history. Oxford University Press. Sapolsky, R. M. (2023). Determined: A science of life without free will. Penguin Press. Smidt, K. E., & Suvak, M. K. (2015). A brief, but nuanced, review of emotional granularity and emotion differentiation research. Current Opinion in Psychology, 3, 48–51. https://doi.org/10.1016/j.copsyc.2015.02.007 The Courier-Journal. (1936, June). [Article on the public execution of Rainey Bethea]. https://www.newspapers.com/article/the-courier-journal/10474113/ Empfehlungen TEDTalk von Lisa Feldman Barrett: You aren't at the mercy of your emotions -- your brain creates them. https://www.ted.com/talks/lisa_feldman_barrett_you_aren_t_at_the_mercy_of_your_emotions_your_brain_creates_them Das Buch mit der kritischen Betrachtung des Falls von Rainey Bethea, wird hier besprochen, wer tiefer einsteigen will: https://www.npr.org/2025/12/07/nx-s1-5585009/a-new-book-returns-to-americas-final-public-hanging Redaktion: Julia Ditzer Produktion: Murmel Produktions

Download Inventium.ai’s custom GPT instructions to create your own Personal AI Reviewer Buddy here: https://amantha-imber.kit.com/51dd2a9719 Producing high volumes of work isn’t the hard part anymore. Producing high quality is. In this How I AI episode, Neo and I walk through how to use AI as a rigorous reviewer of your work – not to replace your judgment, but to sharpen it. We go beyond a basic “please review this” prompt and share a structured way to pressure test emails, documents, slide decks and analysis before they leave your desk. Neo shares the exact system he uses, which he’s nicknamed Charles – a GPT designed to critique work properly, diagnose weaknesses and suggest stronger alternatives. And yes, we’re giving you Charles (via the link above!). Neo and I cover: How to write a simple but powerful critique prompt that goes beyond surface-level polishing What to ask AI to check for, including inaccuracies, weak support, bias, gaps, impracticality and verbosity How to customise your review criteria for specific roles, policies or stakeholders The quality gates Neo uses, including factual accuracy, logical soundness, completeness, relevance, clarity, structure, safety and practicality How AI can improve its own output if you’ve used it to draft something in the first place Why you should never treat a first AI response as gospel Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. And if you’re ready to move beyond basic prompts and start using AI as a genuine thinking partner, check out inventium.ai. We help individuals, teams and organisations turn GenAI into a real work superpower – saving 10+ hours a week and staying future ready. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

01. Mark Roma – What Is On Your Mind (Extended Edit) 02. Benny Benassi & AXIS ZERO – Aku Aku (Extended Mix) 03. Yves V – Here Comes That Sound (Extended Mix) 04. EchoStorms, Selina Baron – Messing With My Head (Original Mix) 05. Mentum – Breathe (Extended Mix) 06. Yves V, Chester Young & Tommy Veanud – One Of A Kind (Extended Mix) 07. Cave Studio – All Night (Extended Mix) 08. Betical – Track Of Time (Extended Mix) 09. Alok, SIDEPIECE, Victor Ruiz – Mind Illuminate (Extended Mix) 10. DONT BLINK – BASS PUMP (Extended Mix) 11. Yves V & NEO – Slow Me (Extended Mix) 12. TWINSICK & Emyrson Flora – One Touch (Extended Mix) 13. Yves V – Now Or Never (Club Mix) 14. NATIIVE, Judgemxnt – Break You (Extended Mix) 15. Odd Mob Ft. Lizzy – LandNever Alone (Extended Mix) CLASSIC OF THE WEEK 16. Avicii – Fade Into Darkness (Extended Mix)

Willkommen zur neuen Woche von Chip & Charge - dieses Mal mit den Turnieren aus Dubai, Acapulco, Santiago, Merida und Austin. Natürlich stand auch das Tennis in den letzten sieben Tagen im Schatten der Weltereignisse, angefangen mit den Unruhen in Mexiko nach der Verhaftung eines Kartellanführers und dann dem neuerlichen Krieg im Nahen Osten. In Dubai konnte sich Daniel Medvedev zum ersten Mal in seiner Karriere einen Titel zum zweiten Mal holen. Er musste dafür im Finale gar nicht antreten, weil sein Gegner Tellon Griekspoor sich im Halbfinale verletzt hatte. Davor zeigte Medvedev allerdings glänzende Leistungen und überragte beim eigenen Aufschlag. In Acapulco ... WERBUNG 10 Euro gratis bei NEO.bet Sichert euch 10 Euro gratis beim Wettanbieter NEObet, ganz ohne Einzahlung. Einfach den Promotion-Code tennis10 bei der Registrierung auf neobet.de eingeben und sofort mit den 10 Euro loswetten. Link zur NEObet-Registrierung: https://neobet.de/de/Sportwetten#account/Account Dieser Podcast wird vermarktet von der Podcastbude.www.podcastbu.de - Full-Service-Podcast-Agentur - Konzeption, Produktion, Vermarktung, Distribution und Hosting.Du möchtest deinen Podcast auch kostenlos hosten und damit Geld verdienen?Dann schaue auf www.kostenlos-hosten.de und informiere dich.Dort erhältst du alle Informationen zu unseren kostenlosen Podcast-Hosting-Angeboten. kostenlos-hosten.de ist ein Produkt der Podcastbude.

Disclaimer: A portion of this episode was recorded over the phone, so audio quality and volume may vary slightly.  

You know how every +1 sword in 5e feels like it came off the same enchanted assembly line? "Congratulations adventurer — your reward is… statistically adequate." This week, the crew grabs a metaphorical chisel, carves glowing symbols into that boredom, and asks: What if your weapon didn't just hit harder — what if it screamed cosmic philosophy while doing it? From axiomatic swords enforcing universal order to anarchic axes overthrowing alignment conventions, we dive into Pathfinder 2e rune system mechanics, shamelessly loot them for D&D 5e magic item customization, and then escalate into tone-bending chaos where you might play villain henchmen or survive horror scenarios for fun. Because nothing says "balanced campaign design" like rewriting metaphysics with Nordic graffiti and then handing the party an axe that hates bureaucracy. Show Notes In this episode, the RPGBOT crew examines one of tabletop fantasy's most persistent mechanical gripes: magic items in Dungeons & Dragons 5th Edition often feel numerically incremental rather than creatively transformative. The discussion pivots toward Pathfinder 2e's rune system, positioning it as a compelling model for deeper customization through layered item enhancement rather than static bonuses. The hosts unpack the distinctions between fundamental and property runes, emphasizing how property runes add unique mechanical effects to weapons and armor, producing gameplay that's both expressive and modular. They explore how these mechanics could be translated into homebrew D&D campaigns, addressing balance through level-based restrictions, rarity adjustments, and vulnerability considerations. Attention shifts toward practical experimentation — allowing multiple runes per item, adjusting enhancement bonuses, and porting armor runes to broaden defensive options. The conversation also touches on systemic design trends like emerging magic item pricing guidance in OneD&D, which could make cross-system adaptation easier for DMs. In true RPGBOT fashion, the episode expands beyond mechanics into narrative structure: The crew suggests using rune-inspired item shifts as gateways for tonal experimentation, recommending session-zero communication, short tonal arcs, villain-perspective one-shots, or survival-horror side stories to re-energize campaigns. The result is an episode that blends TTRPG system design analysis, cross-system mechanical hacking, and campaign tone strategy, demonstrating how rules innovation can reshape storytelling possibilities at the table. Key Takeaways Standard D&D 5e magic item mechanics often rely on numeric scaling rather than narrative identity. Pathfinder 2e rune mechanics provide modular item customization through layered enhancements. Property runes introduce unique combat and thematic effects beyond simple bonuses. Use level restrictions and rarity mapping to maintain balance. Experiment with multiple runes per item for player agency. Extend rune logic to armor for broader gear diversity. Price transparency (e.g., OneD&D item costs) supports homebrew adaptation. Rune mechanics illustrate modular system design principles applicable across TTRPGs. Discuss tonal changes openly with players before implementation. Run experimental arcs or villain POV sessions for variety. Horror survival scenarios can reframe player motivation and stakes. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati  

You know how every +1 sword in 5e feels like it came off the same enchanted assembly line? "Congratulations adventurer — your reward is… statistically adequate." This week, the crew grabs a metaphorical chisel, carves glowing symbols into that boredom, and asks: What if your weapon didn't just hit harder — what if it screamed cosmic philosophy while doing it? From axiomatic swords enforcing universal order to anarchic axes overthrowing alignment conventions, we dive into Pathfinder 2e rune system mechanics, shamelessly loot them for D&D 5e magic item customization, and then escalate into tone-bending chaos where you might play villain henchmen or survive horror scenarios for fun. Because nothing says "balanced campaign design" like rewriting metaphysics with Nordic graffiti and then handing the party an axe that hates bureaucracy. Show Notes In this episode, the RPGBOT crew examines one of tabletop fantasy's most persistent mechanical gripes: magic items in Dungeons & Dragons 5th Edition often feel numerically incremental rather than creatively transformative. The discussion pivots toward Pathfinder 2e's rune system, positioning it as a compelling model for deeper customization through layered item enhancement rather than static bonuses. The hosts unpack the distinctions between fundamental and property runes, emphasizing how property runes add unique mechanical effects to weapons and armor, producing gameplay that's both expressive and modular. They explore how these mechanics could be translated into homebrew D&D campaigns, addressing balance through level-based restrictions, rarity adjustments, and vulnerability considerations. Attention shifts toward practical experimentation — allowing multiple runes per item, adjusting enhancement bonuses, and porting armor runes to broaden defensive options. The conversation also touches on systemic design trends like emerging magic item pricing guidance in OneD&D, which could make cross-system adaptation easier for DMs. In true RPGBOT fashion, the episode expands beyond mechanics into narrative structure: The crew suggests using rune-inspired item shifts as gateways for tonal experimentation, recommending session-zero communication, short tonal arcs, villain-perspective one-shots, or survival-horror side stories to re-energize campaigns. The result is an episode that blends TTRPG system design analysis, cross-system mechanical hacking, and campaign tone strategy, demonstrating how rules innovation can reshape storytelling possibilities at the table. Key Takeaways Standard D&D 5e magic item mechanics often rely on numeric scaling rather than narrative identity. Pathfinder 2e rune mechanics provide modular item customization through layered enhancements. Property runes introduce unique combat and thematic effects beyond simple bonuses. Use level restrictions and rarity mapping to maintain balance. Experiment with multiple runes per item for player agency. Extend rune logic to armor for broader gear diversity. Price transparency (e.g., OneD&D item costs) supports homebrew adaptation. Rune mechanics illustrate modular system design principles applicable across TTRPGs. Discuss tonal changes openly with players before implementation. Run experimental arcs or villain POV sessions for variety. Horror survival scenarios can reframe player motivation and stakes. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati  

Dental care is becoming a bigger part of modern grooming, and clients are starting to expect more than just a clean and tidy trim.In this episode, Bill is joined by Anastasia Waugh, also known as the Dog Tooth Fairy, to talk about the launch of the brand new Neo pet toothbrush, debuting at Crufts.They break down:What makes the Neo different from other pet toothbrushesThe upgraded ergonomic design and why that matters for groomersHow its settings cater for different dental needsWhy early dental care can prevent serious health problems later onHow groomers can confidently talk to clients about oral hygieneDental work can feel like a tricky subject to raise with owners. But as Anastasia explains, preventive care is far easier and far kinder than dealing with advanced dental disease.If you've been thinking about adding dental services to your salon, or you want to educate clients more effectively, this episode will give you practical insight and fresh confidence.With the official launch happening at Crufts, this could be the start of a shift in how groomers approach oral health in the salon.As always, I'd like to thank the podcast sponsor, Lopay, the low-cost payment platform that helps you keep more of the money you earn.You can find out more and sign up for Lopay here:https://merchant.lopay.app/ref/PETPASSION2500Listeners of this podcast get £2500 of fee-free transactions.And if you'd like support growing a stronger, more profitable grooming business, visit:https://petpassiontoprofit.com/If you're serious about raising standards in your salon, subscribe to the podcast and share this episode with another groomer who wants to stay ahead of the curve.

You know how most D&D characters are born fully formed at level one — parents dead, personality optional, and a backstory written five minutes before initiative? Yeah — not today. Today we're rolling childhood trauma on random tables, getting adopted by gnomes after fatal alchemy accidents, committing crimes we didn't commit, and possibly dying before Session One even starts. Because life path character creation doesn't just ask: "Who are you?" It asks: "What if your wizard got fired, drafted, divorced, marooned, or eaten by bureaucracy before the campaign began?" So grab some dice — we're not building characters. We're speedrunning their entire existential crisis. Show Notes This episode explores life path character creation systems — an alternative to traditional menu-driven D&D character building — examining how different RPGs integrate backstory directly into mechanics and narrative identity. The hosts contrast standard Dungeons & Dragons character creation, where mechanics and story can exist independently, with life path approaches that embed history into character structure and development. Instead of assembling a build from selectable options, lifepath systems simulate formative experiences through randomized or semi-structured progression. Life path creation is framed as a form of "session negative one" — a prologue where the character's life unfolds before play begins. Characters might be recruited, drafted, fired, injured, or otherwise transformed during creation, sometimes even dying before gameplay begins (famously in Traveller). This approach produces characters with rich histories and emotional weight while removing optimization control — emphasizing emergent narrative over build efficiency. The conversation examines multiple implementations: D&D (Xanathar's Guide) Random tables generate birthplace, family structure, and life events. These tools help players — especially newcomers — construct organic backstories and roleplaying hooks without mechanical impact. Pathfinder (Ultimate Campaign) A background generator integrates story and mechanics through traits, flaws, and narrative modifiers tied to ancestry, upbringing, and experiences — encouraging characters built from story outward rather than optimization inward. Traveller Presented as the canonical lifepath system, characters advance through four-year career terms determined by rolls and stats. Players attempt education, military service, or careers and face survival checks, advancement, injury, debt, or social gain — producing veterans shaped by experience rather than archetype selection. Across systems, the hosts emphasize that lifepath creation trades predictability for storytelling power — generating flawed, surprising, and memorable characters that feel lived-in before session one begins. The episode ultimately frames lifepaths as a creativity engine: Excellent for players who struggle with backstories Great for emergent storytelling Occasionally traumatic for min-maxers Because sometimes you wanted to be an astronaut — and instead you lost a leg in character creation. Key Takeaways Life path character creation vs traditional D&D character creation Menu-driven builds separate mechanics from narrative, while lifepaths integrate backstory-driven RPG character generation into mechanics and identity "Session Negative One" storytelling approach Lifepaths act as playable prologues generating history through simulated events Randomization encourages emergent roleplay Tables and rolls produce unexpected backgrounds that spark creativity and character depth Optimization vs storytelling tension Lifepaths prioritize narrative authenticity over build control, often frustrating min-max players D&D Xanathar's system — narrative only Useful for generating flavor and roleplay hooks without mechanical changes Pathfinder background generator — mechanical integration Traits, flaws, and story feats connect upbringing to gameplay bonuses Traveller — full simulation lifepath model Career progression, survival checks, and aging create veteran characters with lived histories Ideal use cases Players struggling with creative backstories Groups seeking collaborative storytelling depth Campaigns emphasizing narrative immersion Core philosophical takeaway Characters don't begin at Level One — they arrive shaped by experience Lifepaths transform character creation from assembly to biography Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

You know how most D&D characters are born fully formed at level one — parents dead, personality optional, and a backstory written five minutes before initiative? Yeah — not today. Today we're rolling childhood trauma on random tables, getting adopted by gnomes after fatal alchemy accidents, committing crimes we didn't commit, and possibly dying before Session One even starts. Because life path character creation doesn't just ask: "Who are you?" It asks: "What if your wizard got fired, drafted, divorced, marooned, or eaten by bureaucracy before the campaign began?" So grab some dice — we're not building characters. We're speedrunning their entire existential crisis. Show Notes This episode explores life path character creation systems — an alternative to traditional menu-driven D&D character building — examining how different RPGs integrate backstory directly into mechanics and narrative identity. The hosts contrast standard Dungeons & Dragons character creation, where mechanics and story can exist independently, with life path approaches that embed history into character structure and development. Instead of assembling a build from selectable options, lifepath systems simulate formative experiences through randomized or semi-structured progression. Life path creation is framed as a form of "session negative one" — a prologue where the character's life unfolds before play begins. Characters might be recruited, drafted, fired, injured, or otherwise transformed during creation, sometimes even dying before gameplay begins (famously in Traveller). This approach produces characters with rich histories and emotional weight while removing optimization control — emphasizing emergent narrative over build efficiency. The conversation examines multiple implementations: D&D (Xanathar's Guide) Random tables generate birthplace, family structure, and life events. These tools help players — especially newcomers — construct organic backstories and roleplaying hooks without mechanical impact. Pathfinder (Ultimate Campaign) A background generator integrates story and mechanics through traits, flaws, and narrative modifiers tied to ancestry, upbringing, and experiences — encouraging characters built from story outward rather than optimization inward. Traveller Presented as the canonical lifepath system, characters advance through four-year career terms determined by rolls and stats. Players attempt education, military service, or careers and face survival checks, advancement, injury, debt, or social gain — producing veterans shaped by experience rather than archetype selection. Across systems, the hosts emphasize that lifepath creation trades predictability for storytelling power — generating flawed, surprising, and memorable characters that feel lived-in before session one begins. The episode ultimately frames lifepaths as a creativity engine: Excellent for players who struggle with backstories Great for emergent storytelling Occasionally traumatic for min-maxers Because sometimes you wanted to be an astronaut — and instead you lost a leg in character creation. Key Takeaways Life path character creation vs traditional D&D character creation Menu-driven builds separate mechanics from narrative, while lifepaths integrate backstory-driven RPG character generation into mechanics and identity "Session Negative One" storytelling approach Lifepaths act as playable prologues generating history through simulated events Randomization encourages emergent roleplay Tables and rolls produce unexpected backgrounds that spark creativity and character depth Optimization vs storytelling tension Lifepaths prioritize narrative authenticity over build control, often frustrating min-max players D&D Xanathar's system — narrative only Useful for generating flavor and roleplay hooks without mechanical changes Pathfinder background generator — mechanical integration Traits, flaws, and story feats connect upbringing to gameplay bonuses Traveller — full simulation lifepath model Career progression, survival checks, and aging create veteran characters with lived histories Ideal use cases Players struggling with creative backstories Groups seeking collaborative storytelling depth Campaigns emphasizing narrative immersion Core philosophical takeaway Characters don't begin at Level One — they arrive shaped by experience Lifepaths transform character creation from assembly to biography Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Send a textNeo (New Estate Only) is now an award-winning platform - recently recognized with a GIA Gold Award at The Nationals. In this episode, Anya Chrisanthon sits down with Paulo Bethencourt Neto (President of Neo) to break down how Neo helps builders and developers keep new-construction information accurate, consistent, and instantly shareable across agents, buyers, and international investors.If you're a builder trying to sell more homes (especially in a tight market), this conversation is a masterclass in international demand, agent-enabled growth, and AI-ready infrastructure.We cover:Why international buyers “buy assets” (and what they need to feel confident purchasing)The biggest disconnect builders have with the agent experience (and what to fix first)Why “3% isn't a commission - it's marketing” (and when that mindset matters)A smarter approach to commissions: tiered/loyalty models that reward true producersWhat “AI-ready” actually means in 2026: multilingual, connected systems + adaptive platformsThe case for using international demand to diversify risk and stabilize sales cyclesLearn more about Neo:Website: newestateonly.comConnect with Paulo on LinkedIn

Four years into Russia's full-scale invasion, Ukraine is still fighting – but the strain is visible. How has the conflict changed since those first days of war? Why would a free and fair election in Ukraine be so difficult? And is peace even conceivable?This podcast was brought to you thanks to the support of readers of The Times and The Sunday Times. Subscribe today: http://thetimes.com/thestoryGuests: Anthony Loyd, special correspondent for The Times.Neo, Ukrainian drone unit commander.Anastasiia Romaniuk, researcher based in Kyiv.With thanks to our Ukrainian voices from the ground: Iryna Bortniuk, Pavlo Tkachenko, Natalia Zubar, Logan & Ostap.Host: Manveen Rana.Producers: Harry Stott and Julia Webster.We want to hear from you - email: thestory@thetimes.comRead more: War diary: love and desperation on Ukraine's front lineFurther listening: A new peace plan, and a critical moment for ZelenskyClips: BBCPhoto: Photo: Paul Brookbanks, Getty Images.This podcast was brought to you thanks to subscribers of The Times and The Sunday Times. To enjoy unlimited digital access to all our journalism subscribe here. Hosted on Acast. See acast.com/privacy for more information.

"It's not just about where your data lives - it's about who should, or shouldn't, have access to it."In this episode of Softcat's Explain IT podcast, host Helen Gidney, Head of Architecture at Softcat, is joined by Sabina Anja, Chief Technologist, VMware Cloud Foundation at Broadcom, and Gary Hawkins, Chief Technologist, Hybrid Platforms at Softcat, to demystify the complexities of Data Sovereignty.As organisations face increasing regulatory pressure and the rapid adoption of AI, understanding where your data lives - and who controls it - is critical. The discussion explores how governance, the Cloud Act, and GDPR are reshaping cloud strategies across Europe, driving a renewed interest in private cloud and sovereign cloud solutions.In this episode, Helen, Sabina and Gary discuss:• Defining Data Sovereignty: Why it is not just about location, but about jurisdiction, technical control, and operational access.• The Reality of Repatriation: Analysing the shift back to on-premise or Neo cloud environments to control data, without abandoning public cloud entirely.• Modern Infrastructure: How containers, Kubernetes, and AI demands are influencing infrastructure and data design.• The Power of Platforms: Meaningful insights on using VMware Cloud Foundation 9 (VCF9) to provide a unified control plane for policy-based data sovereignty.Thanks for listening to the Explain IT podcast from Softcat.This podcast is produced by The Podcast Coach. Hosted on Acast. See acast.com/privacy for more information.

With a shooting at Mar-a-Lago and some real counterterrorism issues associated with Trump's threat of war on Iran, Kash Patel probably had more important matters to attend to than shotgunning beer with the U.S. hockey team. And the team itself might have remembered that Patel himself is standing in the way of investigating the murders of Alex Pretti and Renee Good. But too many people at the top don't give a crap, and others are taking their cue. And that includes the larger media, which has moved on from Minnesota, even though women are having to resort to giving birth at home out of fear that federal agents will snatch family members in the labor & delivery ward. Meanwhile Trump is aggressively promoting regime change in Iran, and Sam Altman sounds like he thinks Neo was the bad guy in "The Matrix." Plus, does Netanyahu's role in helping get Trump back into power—and perhaps pushing him to war— open up a political opportunity for Dems to put pressure on Israel?JVL joins Tim Miller.show notes Tim plays the guest on Bill's "Bulwark on Sunday" Sonny and Tim assess the aesthetics of Trump's performance at his press conference JVL's "Triad" about what he saw in Minnesota The Wright Thompson Bulwark pod interview that Tim referenced The Atlantic on the other aid programs being cut Tickets are now on sale for our LIVE shows in Dallas on March 18 and in Austin on March 19. TheBulwark.com/Events. Upgrade your wallet today! Get 10% Off @Ridge with code THEBULWARK at https://www.Ridge.com/THEBULWARK #Ridgepod Get 20% off your DeleteMe plan when you go to joindeleteme.com/BULWARK and use promo code BULWARK at checkout.

Join the RPGBOT crew as they wrap up their Pulp Cthulhu experiment — answering listener questions, unpacking mechanics, debating wizard builds, and confirming once and for all that Pulp Cthulhu is less "existential dread" and more "Indiana Jones punches Nazis with a jetpack." Show Notes The finale Q&A session closes out the RPGBOT Quickstart series on Pulp Cthulhu with a reflective, mechanics-focused discussion on how the system actually played at the table. Framed as a conversation between players and Keeper, the episode explores whether the rules felt intuitive, what stood out, and how pulp action changes the traditional Call of Cthulhu experience. The discussion opens with character advancement — a system largely inherited from Classic Call of Cthulhu. Skills that succeed during play are marked, and during the development phase players roll to see if they improve — ironically increasing faster in weaker skills than stronger ones. This reinforces the system's organic growth model and is supplemented in Pulp by rewards like bonus Luck for completing story arcs. From there, the hosts explore how survivability mechanics shift the tone. Luck emerges as a defining feature of pulp play, enabling cinematic survival and bold risk-taking. The group reflects on moments where characters survived explosive stunts specifically because Luck allowed them to — a core distinction from the deadlier classic ruleset. Combat mechanics and optimization debates dominate the mid-episode. The team examines whether investing in unarmed combat can ever compete with firearms, concluding that while high damage bonuses and melee weapons help, impaling weapons and guns remain significantly deadlier due to extreme success multipliers. This highlights the game's grounded lethality — fists can work, but physics (and dice math) favor bullets. The Q&A also ventures into magic, psychic powers, and build decisions. Spellcasting is contextualized as powerful but dangerous, balanced by sanity costs and narrative risk. Psychic abilities, meanwhile, shine in investigation-driven play, especially those focused on information gathering rather than raw damage. Beyond mechanics, the episode emphasizes tone. Pulp Cthulhu thrives on cinematic improvisation and narrative escalation — encouraging Keepers to "yes-and" player creativity while maintaining credible stakes. The system sits between absurd heroics and genuine peril, echoing adventure films where quips and danger coexist. Balancing that tone is presented as the central challenge for running the game effectively. The session concludes with reflections comparing Classic and Pulp styles. Players note that pulp's higher success rates and survivability foster emotional investment and character attachment, contrasting with the grim inevitability of failure common in classic play. Ultimately, the Q&A serves as both debrief and endorsement — showcasing Pulp Cthulhu as a system that rewards boldness, supports cinematic storytelling, and invites players to lean into chaotic adventure while still respecting cosmic horror roots. Key Takeaways Character advancement mirrors Classic Call of Cthulhu — succeed during play, roll during development, and weaker skills grow fastest. Completing story arcs can reward extra Luck, reinforcing heroic pulp progression. Luck fundamentally changes survivability, enabling high-risk cinematic actions. Guns dominate combat efficiency due to impale mechanics and damage scaling. Melee can compete with investment and weapon choice, but fists alone lag behind ranged lethality. Psychic and investigative abilities often outperform damage powers in mystery-focused play. Spellcasting offers powerful tools but trades stability for sanity and narrative risk. Pulp tone encourages improvisation and cinematic problem-solving over tactical rigidity. Keeper skill lies in balancing absurd heroics with meaningful stakes. Compared to Classic, Pulp promotes character attachment through higher success and survivability. Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Quantonation Ventures, a venture firm investing in quantum and physics-based startups, has closed its oversubscribed second fund at €220 million, or approximately $260 million. That's more than twice the size of its inaugural fund, and comes in addition to other signals that the quantum winter isn't coming yet. Also, Neo's new Residency program invests $750,000 in an uncapped SAFE for startups and provides a $40,000 no-strings-attached grant for college students. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Job hunting can feel like a full-time job in itself. Scrolling listings, second-guessing roles, and trying to stand out in a sea of applications. In this How I AI episode, we walk through how AI can quietly take some of that invisible work off your plate without doing the thinking for you. We talk through how AI can support you at each stage of the job search. From spotting roles that never make it onto LinkedIn or Seek, to getting a clearer picture of what a company is really like, and making sense of job ads that feel fuzzy or overcomplicated. We also cover how to use AI to strengthen your cover letter and CV without losing your own voice, and how it can help you prepare for interviews by practicing questions and refining your answers. Neo and I discuss How scheduled AI searches can monitor company job pages and surface hidden roles Using AI to research companies through annual reports, industry context, and social chatter What AI can and cannot realistically find on platforms like Reddit and Glassdoor How to use AI to decode job ads and understand what the role actually looks like day to day Why the strongest cover letters still start with your own words Using AI to critique and tailor your CV without rewriting your experience How AI can help you prepare for interviews by generating questions and giving feedback Practising interview answers using voice or dictation mode for extra confidence Download the Job Application Pro GPT: https://amantha-imber.kit.com/09db426fdd Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Four film lovers revisit The Matrix (1999) for the first time in years.   The action still holds up. The philosophical ideas still land. But the script? That's where things get complicated. We break down the Hong Kong cinema influences Hollywood never credited, the Dark City and Invisibles connections, what Keanu Reeves actually brings to Neo, and whether the Wachowskis wrote a cyberpunk masterpiece or got carried by everyone around them.   Plus: our 10-point rating and the one scene that still divides the room.   Ready to stop paying more than you have to? New customers can make the switch today and, for a limited time, get unlimited premium wireless for just $15 per month! Switch now at https://mintmobile.com/FOURPLAY. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Willkommen zur neuen Ausgabe von Chip & Charge - dieses Mal mit den Turnieren aus Dubai bei den Damen und Doha, Rio und Delray Beach bei den Herren. In Dubai konnte sich Jessica Pegula nach den guten Australian Open wieder einen Titel sichern. Sie setzte sich im Finale gegen Elina Svitolina durch und überzeugte dabei vor allem hinter dem eigenen Aufschlag. Pegula befindet sich zurzeit in einer sehr konstanten Phase. Doch auch ihre Finalgegnerin Svitolina konnte einen besonderen Erfolg verbuchen. Sie gewann im Halbfinale gegen Coco Gauff in einem sehr engen Match. Gauff hatte in dieser Woche wieder mit dem eigenen Aufschlag und ... WERBUNG 10 Euro gratis bei NEO.bet Sichert euch 10 Euro gratis beim Wettanbieter NEObet, ganz ohne Einzahlung. Einfach den Promotion-Code tennis10 bei der Registrierung auf neobet.de eingeben und sofort mit den 10 Euro loswetten. Link zur NEObet-Registrierung: https://neobet.de/de/Sportwetten#account/Account Dieser Podcast wird vermarktet von der Podcastbude.www.podcastbu.de - Full-Service-Podcast-Agentur - Konzeption, Produktion, Vermarktung, Distribution und Hosting.Du möchtest deinen Podcast auch kostenlos hosten und damit Geld verdienen?Dann schaue auf www.kostenlos-hosten.de und informiere dich.Dort erhältst du alle Informationen zu unseren kostenlosen Podcast-Hosting-Angeboten. kostenlos-hosten.de ist ein Produkt der Podcastbude.

Every tabletop party eventually meets the same terrifying monster: Not a dragon. Not a lich. Not even a gelatinous cube. No — it's the moment the GM says: "Okay… what do you say to the Duke?" Suddenly the barbarian who decapitated three ogres can't order soup, the bard becomes a hostage negotiator, and someone is Googling "how to Persuasion check in real life." This episode of the RPGBOT.Podcast dives headfirst into the chaotic intersection of roleplay, mechanics, and social awkwardness — breaking down how social skills in TTRPGs, navigating complex social encounters, and roleplaying character interactions can turn conversations into some of the most memorable moments at the table. Show Notes In this episode, the RPGBOT crew explores the nuanced world of social skills in tabletop roleplaying games, unpacking how conversation, persuasion, deception, and negotiation function as core gameplay pillars alongside combat and exploration. The discussion centers on the challenge of translating real-world communication into structured mechanics — and how systems like D&D social interaction checks, Pathfinder diplomacy mechanics, and broader TTRPG roleplay frameworks attempt to balance player performance with character capability. The hosts examine how navigating complex social interactions in TTRPGs often requires collaboration between players and Game Masters. They discuss the importance of establishing expectations around roleplay depth, whether tables prioritize immersive acting or streamlined dice-driven resolution. Through examples ranging from tense political intrigue to comedic tavern banter, the episode highlights how roleplaying character personality traits, leveraging skill proficiencies, and creative problem-solving in narrative encounters can shape outcomes without drawing a weapon. Attention is also given to GM facilitation strategies, including setting clear stakes for social encounters, rewarding clever dialogue, and avoiding binary success/failure outcomes. The conversation underscores how layered NPC motivations, faction dynamics, and evolving story consequences elevate social encounter design for Game Masters beyond simple skill checks into meaningful storytelling tools. Ultimately, the episode frames social play as a vital storytelling engine — encouraging players to embrace vulnerability, experimentation, and collaborative narrative building. Whether negotiating peace treaties, bluffing through palace intrigue, or convincing a dragon not to eat you, mastering tabletop roleplaying social mechanics expands the emotional and strategic scope of any campaign. Key Takeaways Social encounters are a core gameplay pillar alongside combat and exploration in modern TTRPG design Balancing player roleplay ability vs character skill stats is essential for fairness and immersion Clear expectations at Session Zero help define roleplay depth and mechanical reliance Dice rolls should support narrative outcomes — not replace meaningful interaction GMs can improve engagement by defining stakes, motivations, and consequences for NPCs Layered social encounters encourage creative problem-solving beyond combat solutions Rewarding clever dialogue and character-driven choices strengthens table investment Failure in social situations should create story complications, not dead ends Strong social play enhances campaign tone, character development, and group collaboration Mastering TTRPG communication and persuasion mechanics leads to richer storytelling moments Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Episode #489: Neo grew up in Yangon, living a simple life—running a small convenience store, taking remote jobs, and spending his nights with friends, music, and beer. “I work and I play and I drink. Life was good, but things change,” he says. On the night of January 31, 2021, as he finished a hip hop track mocking junta supporters, the internet went dark. “They cut off every connection,” he recalls. “Telephone lines, internet, everything; yet my Wi-Fi didn't get cut. Maybe they forgot that service.” Through that one fragile signal, Neo confirmed the truth: “They really did a coup.” His father gave him a choice—leave the country or fight. “I immediately answered, ‘I'm going to fight back.'” Soon after, Neo left Yangon for Myawaddy and joined the resistance. At the jungle camp, life was stripped bare: “We were not well prepared, except our mental. We only had our spirit.” Between training drills, he wrote lyrics. “Some days I got four or eight bars; somedays I got the whole verse.” His songs—Pinkies vs. Guns and Nonprofit Soldier—became battle anthems of defiance. Frontline life hardened him. “If we had something to eat in the kitchen, we didn't have to go hunt,” he says. “That's the killing part.” Yet amidst the brutality, he found unity. “If you'reBuddhist, Christian, Muslim—that doesn't matter. Everyone's the same.” Neo insists their fight isn't about revenge. “It's not about how many you kill, it's about how many you save.” War changed him. “I can't say I'm a good man, but I can say I am trying not to be bad.” His name—taken from the protagonist of The Matrix—became both a shield and a vow: no going back. “I think I've already chosen the pill,” he says quietly. “So there's no going back.”

Find our Matrix review here: https://www.podomatic.com/podcasts/alostplot/episodes/2026-01-30T16_36_07-08_00 In this episode, Maverick and Andrew delve into 'The Matrix Resurrections', exploring its themes, character arcs, and overall execution. They discuss their initial ratings, the film's opening scene, and the reintroduction of Neo and Trinity. The conversation highlights the film's strengths and weaknesses, particularly in character development and the portrayal of villains like Agent Smith and The Analyst. Ultimately, they critique the film's failure to resonate emotionally and its undermining of the original trilogy's legacy. -----------Highlights:0:00 'The Matrix Resurrections' Introductions4:55 Opening Scene8:15 The New Matrix13:28 When Good Premises Go Awry17:11 Neo22:05 Agent Smith & The Analyst31:13 Trinity44:10 Bugs47:00 Character Arcs & Themes49:15 Lasting Impact#thematrix #matrixresurrections #alostplot 

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

Which of the classic tickle spots are you the least ticklish? If you could learn one thing like Neo from The Matrix 1 learns Kung-Fu, what would you download? If you could freeze time once a day for a regular amount of time knowing that you will continue aging in the stoppage while everyone else will not, how long would you freeze time per day? SQ BLOG 003 When she was 3, my daughter sat me down and took my hand in hers. She looked me in the eye and said calmly and with compassion, "Here's the deal - you have spiders in your bones." "What?" I asked with surprise. She rubbed my hand gently. "Don't worry, everyone does. And they won't get out." "What if I break a bone?" "Well then they'll get out. So don't do that." Well, months later a I broke my toe. And now my body is filled with spiders. I guess I should have listened to her.  

Doctor and specialist appointments are expensive, time-limited, and often overwhelming. It’s easy to walk in underprepared and walk out wishing you’d asked better questions or understood more of what was said. We talk through how we use AI to prepare for doctor and specialist appointments so the time is spent on diagnosis and solutions, not rambling explanations or missed details. We cover how to use AI to get your medical story clear and concise, make sense of test results before an appointment, and walk in with smarter questions. We also talk about privacy considerations and the tools we use to record and transcribe appointments so nothing important gets lost. Neo and I discuss How to use AI to turn a rambling health story into a short, clear summary for your doctor Using voice and dictation tools to “talk it out” with AI before an appointment Asking AI to interview you and identify gaps in your medical story Making sense of blood test results and medical terms before you see the doctor Why AI should help you understand results, not diagnose you Using AI to prepare better, more targeted questions for your appointment Privacy tips for using AI with medical information, including de-identifying data Recording appointments so you don’t miss critical information Tools we use to record, transcribe, and review doctor consultations Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.