Podcasts about Neo

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.

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 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.

På en enkelt sommer flytter Josephine Bredsted og hendes kæreste fra København til Klitmøller, bliver gift og gravide. Det nye liv tvinger Josephine ned i gear. Men graviditeten bærer også præg af en ensomhed og uvished om fremtiden, da Josephines mand er syg med senfølger efter corona. Heldigvis skal Josephine føde på den lille fødeafdeling i Thisted, der er kåret som landets bedste. Her bliver hun fulgt og grebet af en fast jordemoder, som også står klar på fødestuden, da fødslen af lille Neo går i gang. 

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

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

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

The episode opens with sponsor Meter and a conversation about Saturday morning cartoons before shifting to recent breakthroughs in AI video generation from ByteDance's "SeaDance" (with "SeeDream" as its image generator).  Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt The hosts describe SeaDance's cinematic quality, accurate physics, and realistic recreations of actors and IP (including examples like Tom Cruise vs. Brad Pitt and Keanu Reeves as Neo/John Wick), and discuss the implications for film production, commercials, and local film economies such as Toronto and Vancouver. They cover backlash and gatekeeping, including an AI-made Thanksgiving-themed animated short that won a contest tied to AMC theaters' pre-show but reportedly wasn't shown, and compare resistance to historical Luddite reactions. The discussion broadens to productivity and labor impacts, arguing that AI adoption may mirror the 1980s computer productivity dip before process re-engineering in the 1990s, while also raising concerns that AI leaders are forecasting major white-collar job losses. The hosts highlight the rise of agentic benchmarks (TerminalBench, Apex Agents, BrowseComp) and how AI search helps find information faster than traditional search, but emphasize that trust, reliability, and infrastructure are not keeping pace. They raise major concerns about platform terms and data ownership, focusing on Perplexity's updated terms (non-commercial use only even for paid tiers, mandatory attribution, broad licensing rights over user content, and liability limits). They also discuss reliability failures: a widespread Google Gemini issue where users' chat histories disappeared (only visible as activity records with limited usability), and missing document links in ChatGPT chats. The hosts argue users must back up their own data and criticize unclear policies and weak support. Security risks are illustrated through a story about the AI-enabled robot vacuum "Romo," where a developer used Claude to reverse engineer its app and reportedly gained access to control thousands of devices across multiple countries before responsibly disclosing the issues. They also reference broader concerns like connected home devices, Ring neighborhood features, and Microsoft's Recall concept. In rapid-fire news, they mention Anthropic releasing Sonnet 4.6 as a strong, cheaper option near Opus-level performance, a new Grok release branded "4.20," and a clip from an AI summit in India where Sam Altman and Dario Amodei appeared to refuse to hold hands on stage, which the hosts cite as a sign of immaturity among AI industry leaders. The episode closes with sponsor Meter. 00:00 Sponsor + Welcome to Project Synapse 00:21 Saturday Morning Cartoons… Reimagined by AI 01:16 What is 'SeaDance'? Cinematic AI Video Goes Viral 03:17 Keanu Reeves, Neo vs. John Wick & the End of VFX as We Know It 06:43 From Movies to Ads: How AI Video Hits Commercial Production 07:41 The Hidden Economy of Commercials (and Why Cities Like Toronto/Vancouver Care) 09:56 AMC Won't Screen an AI-Made Short: Early Luddite Backlash 12:54 Artists, AI, and the 'Starving Creator' Reality 16:17 AI Adoption Parallels: The 1980s Computer Wave & the Productivity Dip 24:09 Agentic AI Benchmarks: TerminalBench, Apex Agents & BrowseComp 26:04 AI Search That Actually Saves Time (and Your Memory) 30:36 Perplexity's New Terms of Service: Non-Commercial Use & Ownership Shock 35:40 Liability Caps, More Corporate Gripes… and a Coke Zero 'Sponsor' Bit 37:36 Gemini 3.1's big leap—and why it still doesn't feel trustworthy 38:08 Gemini chat history vanishes: what happened and why users are furious 40:19 OpenAI document links disappearing too: what "saved" really means 42:04 Cloud AI's shaky foundation: security, reliability, and confusing settings 47:45 When reliance turns emotional: losing models, losing "someone" 49:22 Real-world stakes: the Social Security database whistleblower story 53:15 Owning your data (and why Google support won't save you) 54:53 Trust whiplash: Anthropic cuts off OpenClaw and the power to shut you down 57:29 Robot vacuum hacked with Claude: 7,000 cameras in strangers' homes 01:03:17 Smart home surveillance creep: Ring neighbors, TV cameras, and Microsoft Recall 01:07:14 Rapid-fire AI news: Sonnet 4.6, Gemini gains, and Grok 4.20 01:11:00 AI leaders' petty feud—and the show wrap & sponsor thanks

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.  

In the thrilling conclusion of the RPGBOT.Pulp Cthulhu Actual Play, our heroes discover that Luck points are real, sanity is optional, and jetpacks are — scientifically speaking — extremely explosive plot devices. Bjorn steals the Necronomicon with telekinesis, Murray forgets who he is, everyone falls in love with the villain thanks to eldritch karaoke mind control, and the final boss fight is resolved using the timeless tactical doctrine of: "What if we shot the jetpack?" Featuring heroic sacrifice, catastrophic math, spontaneous dismemberment, and a helicopter extraction that arrives precisely when pulp cinema demands it — this episode delivers the important lesson that Call of Cthulhu isn't about surviving intact. It's about surviving spectacularly. Show Notes The finale opens with table banter and a brief plug for ongoing Pulp Cthulhu play opportunities before the Keeper resets the stage and reviews key mechanics — including luck recovery, spending luck for survival, and sanity system nuances. The players regain luck and receive a reminder of how it can modify rolls, negate damage, or even prevent death — rules that soon prove critical. A sanity check against newly transformed ghast enemies immediately escalates tension. Randall's character loses significant sanity and enters a bout of insanity, gaining amnesia and temporarily forgetting context and equipment while acquiring an "insane talent" that grants unusual resilience to pain. This mechanical disruption reinforces Call of Cthulhu's psychological stakes and introduces roleplay chaos at the outset of combat. Combat begins in the ritual chamber where Scarlet Arachnus attempts to complete her summoning. Gunfire exchanges with the ghasts while Arachnus deflects harm through magic. Randall lands a devastating critical hit on one creature, while Tyler pivots toward objective play — targeting the ritual itself. The Necronomicon becomes the center of the encounter as telekinesis is used to wrest control of the artifact from the villain, disrupting her casting momentum. The encounter spikes in complexity when Arachnus unleashes Siren Song, charming allies and nearly turning the party against itself. Iowa succumbs completely, while Tyler resists. Surrounded and nearly dead, Tyler resorts to a desperate solution — coordinating with Randall's jetpack maneuver. The resulting detonation obliterates Arachnus and the ghasts, collapses magical support sustaining the enemies, and nearly kills the party in the process. Randall survives only by spending luck to avoid certain death. After the blast, the ritual collapses, the remaining threats dissolve, and the survivors secure the artifact. Extraction arrives via helicopter — a fitting pulp cinematic conclusion — as the buried ruins vanish beneath the sand, ensuring their secrets remain hidden. The episode closes with post-session reflections on system feel and character impact, cementing the adventure as a chaotic but successful demonstration of Pulp Cthulhu's tone and mechanics. Key Takeaways Luck mechanics are central survival tools and dramatically influence outcomes Sanity loss meaningfully alters gameplay through narrative and mechanical disruption Insanity effects can produce both hindrance and unexpected advantages Objective-focused play (stealing the artifact) can end encounters faster than damage trading Mind-control effects reinforce Mythos horror stakes beyond physical threats Pulp tone encourages cinematic risk and heroic sacrifice Improvisation and environment use can resolve otherwise lethal encounters Narrative pacing culminates in high-stakes chaos followed by cinematic resolution Actual Play effectively demonstrates mechanics through emergent storytelling The finale showcases how Call of Cthulhu balances horror tension with pulp heroics 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

In the thrilling conclusion of the RPGBOT.Pulp Cthulhu Actual Play, our heroes discover that Luck points are real, sanity is optional, and jetpacks are — scientifically speaking — extremely explosive plot devices. Bjorn steals the Necronomicon with telekinesis, Murray forgets who he is, everyone falls in love with the villain thanks to eldritch karaoke mind control, and the final boss fight is resolved using the timeless tactical doctrine of: "What if we shot the jetpack?" Featuring heroic sacrifice, catastrophic math, spontaneous dismemberment, and a helicopter extraction that arrives precisely when pulp cinema demands it — this episode delivers the important lesson that Call of Cthulhu isn't about surviving intact. It's about surviving spectacularly. Show Notes The finale opens with table banter and a brief plug for ongoing Pulp Cthulhu play opportunities before the Keeper resets the stage and reviews key mechanics — including luck recovery, spending luck for survival, and sanity system nuances. The players regain luck and receive a reminder of how it can modify rolls, negate damage, or even prevent death — rules that soon prove critical. A sanity check against newly transformed ghast enemies immediately escalates tension. Randall's character loses significant sanity and enters a bout of insanity, gaining amnesia and temporarily forgetting context and equipment while acquiring an "insane talent" that grants unusual resilience to pain. This mechanical disruption reinforces Call of Cthulhu's psychological stakes and introduces roleplay chaos at the outset of combat. Combat begins in the ritual chamber where Scarlet Arachnus attempts to complete her summoning. Gunfire exchanges with the ghasts while Arachnus deflects harm through magic. Randall lands a devastating critical hit on one creature, while Tyler pivots toward objective play — targeting the ritual itself. The Necronomicon becomes the center of the encounter as telekinesis is used to wrest control of the artifact from the villain, disrupting her casting momentum. The encounter spikes in complexity when Arachnus unleashes Siren Song, charming allies and nearly turning the party against itself. Iowa succumbs completely, while Tyler resists. Surrounded and nearly dead, Tyler resorts to a desperate solution — coordinating with Randall's jetpack maneuver. The resulting detonation obliterates Arachnus and the ghasts, collapses magical support sustaining the enemies, and nearly kills the party in the process. Randall survives only by spending luck to avoid certain death. After the blast, the ritual collapses, the remaining threats dissolve, and the survivors secure the artifact. Extraction arrives via helicopter — a fitting pulp cinematic conclusion — as the buried ruins vanish beneath the sand, ensuring their secrets remain hidden. The episode closes with post-session reflections on system feel and character impact, cementing the adventure as a chaotic but successful demonstration of Pulp Cthulhu's tone and mechanics. Key Takeaways Luck mechanics are central survival tools and dramatically influence outcomes Sanity loss meaningfully alters gameplay through narrative and mechanical disruption Insanity effects can produce both hindrance and unexpected advantages Objective-focused play (stealing the artifact) can end encounters faster than damage trading Mind-control effects reinforce Mythos horror stakes beyond physical threats Pulp tone encourages cinematic risk and heroic sacrifice Improvisation and environment use can resolve otherwise lethal encounters Narrative pacing culminates in high-stakes chaos followed by cinematic resolution Actual Play effectively demonstrates mechanics through emergent storytelling The finale showcases how Call of Cthulhu balances horror tension with pulp heroics 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

Zwei Wochen ATP Challenger-Tennis fanden am Sonntag mit einem hochklassigen Einzelfinale beim Tenerife Challenger 2 ihren krönenden Abschluss. Unter strahlend blauem Himmel und bei Temperaturen von deutlich über 20 Grad Celsius sicherte sich Lloyd Harris den Titel – und setzte damit den perfekten Schlusspunkt unter das internationale Turnier auf der größten Kanareninsel. Der an Nummer sechs gesetzte Südafrikaner bezwang den spanischen Wildcard-Starter Alejandro Moro Canas mit 7:5, 7:5. Im September 2021 hatte Harris mit Rang 31 seine bisher höchste Weltranglistenposition erreicht, musste in den vergangenen Jahren jedoch mehrere Verletzungen und Operationen wegstecken. Mit seinem Erfolg in Soma Bay Anfang des Jahres und dem ... 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.

In Episode 50 of Chain Reactions, Blake sits down with Nadia Sergujuk, Co-Founder of Lagoon, the permissionless vault management infrastructure that wants to become the State Street of digital assets. With a background spanning Danish law schools, PWC Legal in London, hedge funds managing $10B+ in AUM, and VC investing in deep tech, Nadia brings a rare cross-disciplinary lens to one of the fastest-growing categories in DeFi.We cover:– How Nadia went from law school in Copenhagen to hedge funds in London to co-founding an on-chain vault protocol– What vault management infrastructure actually is and why every stablecoin dollar eventually needs one– Why Lagoon's team put their own capital in first and how word of mouth drove early traction– The stablecoin explosion, neo banks in emerging markets, and why the digital dollar is eating the world– Privacy on-chain, the rise of institutional chains, and what keeps Nadia up at night (hint: quantum computing and the triple bubble)We also get into regulation as a tailwind, why Japan is the most slept-on institutional market in crypto, the innovator's dilemma facing Western Union and Visa, and why founder-led marketing beats KOLs every time.Timestamps00:00 – Going live and Nadia joins from the Swiss Alps04:00 – From law school in Denmark to hedge funds in London06:30 – First exposure to Bitcoin in 2016 (and not buying it)08:20 – COVID, DeFi summer, and going all in on crypto09:30 – Meeting co-founder Remy at a conference in Bogota11:27 – What is Lagoon? Vault management infrastructure explained13:30 – Why permissionless and open source matters for trust16:26 – Business model: 10% of vault fees plus SaaS services18:00 – Go-to-market: putting your own money in the vaults first20:45 – BlackRock, Fidelity, and the TradFi wave coming on-chain faster than expected22:23 – Why regulation is actually a tailwind for Lagoon25:36 – Japan as the most slept-on institutional crypto market28:00 – Neo banks, stablecoin yield, and serving emerging markets30:30 – Why the digital dollar is irresistible in LatAm, Africa, and Southeast Asia37:00 – Conference circuit: DAF London, DAS New York, and founder-led presence40:06 – What keeps Nadia up at night: quantum compute and the triple bubble45:23 – Chain landscape: Solana's DeFi renaissance and BTCFi's comeback48:04 – Privacy on-chain: why institutions need it and how Lagoon will enable it51:35 – Rapid fire: founder-led marketing, KOLs, Merkl, and the power of peopleShow Notes & Mentions

Nothing says "pulp adventure" like pouring jet fuel into a moving car, chasing Nazis across the desert, watching a monocle explode off someone's face, and then accidentally triggering sanity-shattering cosmic horror before lunch. In this episode of the RPGBOT.Pulp Cthulhu Actual Play, Murray and Bjorn demonstrate that reckless engineering is a valid transportation strategy, grenades are a valid diplomatic strategy, and sprinting deeper into an ancient tomb filled with acid traps and reptilian nightmare monsters is apparently the safest plan available. If you've ever wondered how long it takes before someone loses their mind, their jet fuel, or their grip on reality — the answer is: about one car chase and a sandstorm. Buckle up. Show Notes Picking up from the escape sequence, the cast dives immediately into cinematic pulp chaos as the party chases their enemies across the desert in identical vehicles. The Keeper introduces chase mechanics, and Randall immediately weaponizes poor decision-making by injecting aerosolized jet fuel into the engine — a maneuver that miraculously succeeds and rockets the car forward. The pursuit becomes a back-and-forth exchange of hazards: dunes, quicksand, chasms, and barriers, all resolved through skill checks and player improvisation. The action escalates when the villains retaliate with occult spectacle. Scarlet Arachnus summons a supernatural sandstorm, forcing sanity checks as the players witness magic in action. The chase culminates in explosive pulp heroics — Tyler uses telekinesis to lob a grenade, annihilating an enemy squad and their fancy monocled leader in one cinematic blast. Despite the victory, Arachnus escapes toward a ritual site where her artifact awakens a buried desert city. The party follows into ruins that transition the tone from swashbuckling action to creeping cosmic dread. Exploration brings environmental puzzles and traps — light-reflection mechanisms, directional pedestals, acid-spraying carvings — that showcase investigative gameplay and collaborative deduction. Inside the tomb, tension mounts. Evidence of cult activity, sacrificial imagery, and partially dissolved remains reinforce the setting's horror roots. Soon the players encounter reptilian hybrid creatures resembling carved murals, triggering sanity rolls and frantic combat. Explosives thin the swarm but destabilize the chamber, forcing a desperate escape deeper into the complex. The episode closes on a classic cliffhanger: Arachnus prepares a ritual invoking cosmic forces as a forbidden tome levitates, mutates her followers into grotesque forms, and tears reality itself. The party arrives just in time to witness the ritual beginning — and the session ends on that looming confrontation. The overall tone blends humor, pulp action tropes, and creeping Mythos horror, demonstrating how Actual Play showcases system mechanics organically — from chases and sanity to puzzle-solving and narrative escalation. Key Takeaways Pulp Cthulhu chase mechanics emphasize cinematic momentum and risk/reward decision making. Player creativity (even reckless creativity) drives memorable moments and story direction. Sanity checks reinforce tone shifts when supernatural elements emerge. Explosives and improvisation can resolve encounters — but often create new problems. Environmental puzzles highlight investigation and teamwork over pure combat. Mythos horror escalates gradually through imagery, traps, and creature reveals. Narrative pacing uses alternating action and exploration to maintain tension. Cliffhangers remain an effective session-ending tool for serialized Actual Play. 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

Nothing says "pulp adventure" like pouring jet fuel into a moving car, chasing Nazis across the desert, watching a monocle explode off someone's face, and then accidentally triggering sanity-shattering cosmic horror before lunch. In this episode of the RPGBOT.Pulp Cthulhu Actual Play, Murray and Bjorn demonstrate that reckless engineering is a valid transportation strategy, grenades are a valid diplomatic strategy, and sprinting deeper into an ancient tomb filled with acid traps and reptilian nightmare monsters is apparently the safest plan available. If you've ever wondered how long it takes before someone loses their mind, their jet fuel, or their grip on reality — the answer is: about one car chase and a sandstorm. Buckle up. Show Notes Picking up from the escape sequence, the cast dives immediately into cinematic pulp chaos as the party chases their enemies across the desert in identical vehicles. The Keeper introduces chase mechanics, and Randall immediately weaponizes poor decision-making by injecting aerosolized jet fuel into the engine — a maneuver that miraculously succeeds and rockets the car forward. The pursuit becomes a back-and-forth exchange of hazards: dunes, quicksand, chasms, and barriers, all resolved through skill checks and player improvisation. The action escalates when the villains retaliate with occult spectacle. Scarlet Arachnus summons a supernatural sandstorm, forcing sanity checks as the players witness magic in action. The chase culminates in explosive pulp heroics — Tyler uses telekinesis to lob a grenade, annihilating an enemy squad and their fancy monocled leader in one cinematic blast. Despite the victory, Arachnus escapes toward a ritual site where her artifact awakens a buried desert city. The party follows into ruins that transition the tone from swashbuckling action to creeping cosmic dread. Exploration brings environmental puzzles and traps — light-reflection mechanisms, directional pedestals, acid-spraying carvings — that showcase investigative gameplay and collaborative deduction. Inside the tomb, tension mounts. Evidence of cult activity, sacrificial imagery, and partially dissolved remains reinforce the setting's horror roots. Soon the players encounter reptilian hybrid creatures resembling carved murals, triggering sanity rolls and frantic combat. Explosives thin the swarm but destabilize the chamber, forcing a desperate escape deeper into the complex. The episode closes on a classic cliffhanger: Arachnus prepares a ritual invoking cosmic forces as a forbidden tome levitates, mutates her followers into grotesque forms, and tears reality itself. The party arrives just in time to witness the ritual beginning — and the session ends on that looming confrontation. The overall tone blends humor, pulp action tropes, and creeping Mythos horror, demonstrating how Actual Play showcases system mechanics organically — from chases and sanity to puzzle-solving and narrative escalation. Key Takeaways Pulp Cthulhu chase mechanics emphasize cinematic momentum and risk/reward decision making. Player creativity (even reckless creativity) drives memorable moments and story direction. Sanity checks reinforce tone shifts when supernatural elements emerge. Explosives and improvisation can resolve encounters — but often create new problems. Environmental puzzles highlight investigation and teamwork over pure combat. Mythos horror escalates gradually through imagery, traps, and creature reveals. Narrative pacing uses alternating action and exploration to maintain tension. Cliffhangers remain an effective session-ending tool for serialized Actual Play. 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

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.

Find our The Matrix Reloaded review here: https://www.podomatic.com/podcasts/alostplot/episodes/2026-02-04T04_00_00-08_00 In this episode, Maverick and Andrew review 'Matrix Revolutions', discussing their initial impressions, character arcs, and the film's themes. They explore the reintroduction of characters, the fight for Zion, and the roles of Neo and Agent Smith. The conversation delves into the film's dialogue, character development, and the overarching themes of choice and consequence, ultimately reflecting on the film's impact and legacy in the Matrix franchise.----------Highlights: 0:00 ‘The Matrix Revolutions' Introduction3:42 Opening of the Film10:08 Themes of the Film12:39 The Fight at Zion25:05 The Helm's Deep Comparison36:50 Neo & The Machines51:26 Agent Smith & The Machines1:00:38 Themes & Messages1:03:07 Lasting Impact#matrix #matrixrevolutions #characteranalysis #alostplot #wachowskis #sciencefiction #movie #film #filmthoughts 

Ritual spellcasting is the part of tabletop roleplaying games where wizards stop blowing things up for ten minutes and instead argue about chalk circles, incense pricing, and whether chanting counts as a somatic component if you're holding snacks. In this episode of the RPGBOT.Podcast, we dive deep into D&D ritual casting mechanics, explore how Pathfinder and 5e ritual spells change encounter pacing, and discuss how to turn out-of-combat magic systems into storytelling tools instead of bookkeeping exercises. Because sometimes the real magic isn't Fireball — it's spending eleven minutes summoning a familiar while your party rogue steals your candles. Show Notes Ritual magic sits in a fascinating design space across modern tabletop RPG systems, particularly in Dungeons & Dragons 5e ritual spellcasting rules, where casting without expending spell slots reshapes resource management and exploration play. In this episode, the hosts explore how ritual casting in tabletop RPGs functions both as a mechanical subsystem and as a narrative lever for immersion. Rather than treating ritual spells like background noise, we discuss ways GMs and players can frame non-combat spellcasting mechanics as collaborative storytelling moments that reinforce tone, pacing, and worldbuilding. The conversation begins with a mechanical breakdown of how ritual casting works in D&D, including class access, preparation requirements, and opportunity cost. We compare approaches to ritual magic systems in Pathfinder and other TTRPGs, highlighting how design differences affect party planning and gameplay tension. Along the way, we touch on optimization considerations for players researching best ritual spells for utility and exploration, and how ritual access can shape character identity outside of combat encounters. From there, the discussion pivots toward table culture and presentation. Ritual casting is an opportunity to create sensory texture — chanting, environmental interaction, symbolic components — and we outline practical techniques for GMs seeking to immerse players through magical storytelling. This includes pacing strategies, spotlight balance, and methods for integrating ritual outcomes into ongoing campaign arcs rather than treating them as isolated mechanics. Finally, we address common pitfalls. Overuse can trivialize challenges, while underuse wastes design space. By framing rituals as collaborative scenes instead of background automation, tables can unlock deeper engagement with fantasy roleplaying immersion techniques and reinforce the feeling that magic is mysterious, costly, and meaningful. Whether you're optimizing your spellbook or building cinematic magical moments, this episode provides both system mastery and creative inspiration for getting more out of ritual spellcasting at your table. Key Takeaways Ritual spellcasting in D&D 5e allows slot-free utility casting but requires time investment and preparation planning Understanding how ritual casting works in tabletop RPG systems helps players optimize exploration and resource management Many best ritual spells for roleplaying immersion shine outside combat and define character identity GMs can elevate non-combat magic storytelling by emphasizing sensory description and table participation Ritual scenes are opportunities to reinforce pacing, spotlight sharing, and narrative tone Comparing ritual mechanics across Pathfinder and 5e highlights how system design affects tension and preparation Avoid trivializing obstacles — meaningful cost or risk keeps ritual magic engaging Treat rituals as collaborative scenes rather than background mechanics to enhance immersion Strong presentation transforms fantasy ritual casting experiences into memorable campaign 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

Ritual spellcasting is the part of tabletop roleplaying games where wizards stop blowing things up for ten minutes and instead argue about chalk circles, incense pricing, and whether chanting counts as a somatic component if you're holding snacks. In this episode of the RPGBOT.Podcast, we dive deep into D&D ritual casting mechanics, explore how Pathfinder and 5e ritual spells change encounter pacing, and discuss how to turn out-of-combat magic systems into storytelling tools instead of bookkeeping exercises. Because sometimes the real magic isn't Fireball — it's spending eleven minutes summoning a familiar while your party rogue steals your candles. Show Notes Ritual magic sits in a fascinating design space across modern tabletop RPG systems, particularly in Dungeons & Dragons 5e ritual spellcasting rules, where casting without expending spell slots reshapes resource management and exploration play. In this episode, the hosts explore how ritual casting in tabletop RPGs functions both as a mechanical subsystem and as a narrative lever for immersion. Rather than treating ritual spells like background noise, we discuss ways GMs and players can frame non-combat spellcasting mechanics as collaborative storytelling moments that reinforce tone, pacing, and worldbuilding. The conversation begins with a mechanical breakdown of how ritual casting works in D&D, including class access, preparation requirements, and opportunity cost. We compare approaches to ritual magic systems in Pathfinder and other TTRPGs, highlighting how design differences affect party planning and gameplay tension. Along the way, we touch on optimization considerations for players researching best ritual spells for utility and exploration, and how ritual access can shape character identity outside of combat encounters. From there, the discussion pivots toward table culture and presentation. Ritual casting is an opportunity to create sensory texture — chanting, environmental interaction, symbolic components — and we outline practical techniques for GMs seeking to immerse players through magical storytelling. This includes pacing strategies, spotlight balance, and methods for integrating ritual outcomes into ongoing campaign arcs rather than treating them as isolated mechanics. Finally, we address common pitfalls. Overuse can trivialize challenges, while underuse wastes design space. By framing rituals as collaborative scenes instead of background automation, tables can unlock deeper engagement with fantasy roleplaying immersion techniques and reinforce the feeling that magic is mysterious, costly, and meaningful. Whether you're optimizing your spellbook or building cinematic magical moments, this episode provides both system mastery and creative inspiration for getting more out of ritual spellcasting at your table. Key Takeaways Ritual spellcasting in D&D 5e allows slot-free utility casting but requires time investment and preparation planning Understanding how ritual casting works in tabletop RPG systems helps players optimize exploration and resource management Many best ritual spells for roleplaying immersion shine outside combat and define character identity GMs can elevate non-combat magic storytelling by emphasizing sensory description and table participation Ritual scenes are opportunities to reinforce pacing, spotlight sharing, and narrative tone Comparing ritual mechanics across Pathfinder and 5e highlights how system design affects tension and preparation Avoid trivializing obstacles — meaningful cost or risk keeps ritual magic engaging Treat rituals as collaborative scenes rather than background mechanics to enhance immersion Strong presentation transforms fantasy ritual casting experiences into memorable campaign 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

John Krotec is a U.S. Army veteran, visionary entrepreneur and founder of NeoMasculinity Solutions—a movement that helps men and women reclaim purpose, live through truth and lead with clarity. After surviving a traumatic brain injury and confronting long‑buried trauma, he transformed adversity into a mission by founding The Brainary and writing The Sentinel Handbook, a practical tool for self‑leadership. He delivers riveting keynotes and workshops on leadership, critical thinking, emotional resilience and self‑agency. With over 40 years in business, his journey spans high‑altitude expeditions in the Andes, building a pre‑internet multi‑million‑dollar retail company, and hosting conversations with leaders like General Flynn and Ron DeSantis. Today he leads a global push to reignite human intuition and critical thinking, empowering families to discern truth from fiction and resist the relentless onslaught of misinformation. John Krotec is here to blow up toxic masculinity, trash lazy thinking and maybe tell you about the time he smoked DMT and met aliens. This Army vet turned entrepreneur isn't your typical motivational guru; he's a warrior‑poet who built a multimillion‑dollar company before the internet existed, survived a traumatic brain injury, and came back swinging with NeoMasculinity Solutions, a movement hell‑bent on rescuing men and women from the dumpster fire of modern misinformation. You'll hear him talk about protecting your family from six types of unreliable information, why vintage gender roles still matter, and how plant medicine saved his marriage. Co‑hosts Law Smith and Eric Readinger pepper him with lightning‑round questions—"Is a hot dog a sandwich?" "Have you ever seen a UFO?"—before diving into heavy stuff like leadership, human vibrational states, and why so many men are stuck in perpetual adolescence. Expect profanity, real talk and gut‑punch honesty. Smash that subscribe button, share with a friend, and get ready to laugh, cringe and maybe rethink your whole damn life and NeoMasculinity, John Krotec, toxic masculinity, vintage gender roles, leadership podcast, critical thinking skills, human intuition, plant medicine, DMT experience, traumatic brain injury, self‑leadership, family protection, misinformation, disinformation, emotional resilience, entrepreneur journey, spirit molecule, Andes expeditions, truth‑based media, and veteran entrepreneur.  Timestamps & chapters: 03:35 – Advice to your 13‑year‑old self: slow down, it's not your fault. 04:17 – Who the hell is John Krotec? Army vet, entrepreneur and crusader. 06:43 – DMT & demons: plant medicine, insomnia and saving a marriage. 09:55 – Inside the spirit molecule: aliens, metal bangs and dimension travel. 12:57 – Backpacking in Guatemala: CIA spooks, effigies and travel truths. 23:19 – Neo‑masculinity explained: vintage gender roles and fighting misinformation. 27:16 – Working moms & family balance: unrealistic expectations and social pressure. 30:35 – Calling out the modern man‑child: courage, therapy and intellectual laziness. #AI #entrepreneurship #ecommercebusiness #productbasedbusiness #brandbuilding #businesspodcast #startupstories #scalingbusiness #directtoconsumer #manufacturingbusiness #corporategifting #smallbusinessgrowth #founderjourney #roi #NeoMasculinity #ToxicMasculinity #JohnKrotec #Leadership #CriticalThinking #HumanIntuition #PlantMedicine #DMT #BrainInjuryRecovery #SelfImprovement #Podcast #FamilyProtection #TruthMedia #GenderRoles #VeteranEntrepreneur #MensHealth #Mindset #Education #AlienEncount Episode sponsored...

There are two ways to learn a tabletop RPG: read the rulebook… or get shot at on a collapsing train while chasing occult Nazis across North Africa. In this RPGBOT.Quickstart actual play of Pulp Cthulhu, the crew demonstrates how cinematic pulp RPG sessions actually unfold — complete with relic thefts, hypnotized enemies, catastrophic dice rolls, and a physics-defying jetpack solution. If you've ever wondered how Call of Cthulhu actual play gameplay, learning Pulp Cthulhu through play, or tabletop RPG session flow examples look in the wild, this episode shows you — loudly, chaotically, and probably while someone is falling off a cliff. Show Notes This installment of the RPGBOT Quickstart actual play series transitions from theory into demonstration, showcasing how to learn Pulp Cthulhu gameplay mechanics through live play. Following prior episodes on system concepts and character creation, the cast introduces their pulp-era investigators — including an eccentric engineer and a circus-trained occult bruiser — tasked by an FBI occult task force to intercept Nazi relic hunters in 1935. The scenario begins aboard a desert-bound train headed toward a meeting with archaeologist Iowa Roberts, where the party examines a mysterious artifact that functions like a supernatural compass pointing toward the mythical desert city tied to forbidden lore. Their investigation is interrupted when the rival occult agent Scarlet Arachnus steals the relic during a catastrophic derailment, throwing the game immediately into cinematic action and demonstrating combat initiative, skill rolls, and survival mechanics in Call of Cthulhu actual play. Escaping a precariously hanging train car, the players confront armed enemies, navigate terrain hazards, and showcase mechanical problem-solving through teamwork and skill checks — highlighting how dice outcomes shape narrative consequences. The action continues across exposed train cars with firefights against heavily armed foes, illustrating tactical movement, cover usage, and pulp-style heroics. After surviving the encounter and sabotaging the collapsing train, the group scavenges supplies, uncovers clues, and discovers evidence of a larger occult plot: a map referencing desert pillars and connections to mythic texts associated with forbidden knowledge. Realizing they've handed the artifact to their enemies, they pivot to pursuit — commandeering and repairing a damaged vehicle, demonstrating mechanical repair gameplay and collaborative skill usage. The session concludes with the party navigating across the desert using improvised technology to track tire marks toward their adversaries — emphasizing exploration and skill-driven storytelling in tabletop RPG actual play teaching examples. Overall, this consolidated episode functions as a practical tutorial on how actual play sessions model rule application, improvisation, and narrative escalation, blending cinematic pulp action with procedural gameplay instruction. Key Takeaways Actual play is an effective way to learn Pulp Cthulhu rules and gameplay flow in context Character introductions reinforce narrative hooks and mechanical identity Skill checks drive storytelling outcomes — success and failure both move plot forward Combat showcases initiative, cover, and pulp-action pacing Environmental hazards highlight survival and problem-solving mechanics Collaborative play enables creative solutions beyond strict rules Resource scavenging and clue discovery reinforce investigation gameplay Vehicle repair and navigation demonstrate non-combat system depth Narrative escalation illustrates long-form campaign structure Session ends with forward momentum toward mythos investigation and pursuit 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

There are two ways to learn a tabletop RPG: read the rulebook… or get shot at on a collapsing train while chasing occult Nazis across North Africa. In this RPGBOT.Quickstart actual play of Pulp Cthulhu, the crew demonstrates how cinematic pulp RPG sessions actually unfold — complete with relic thefts, hypnotized enemies, catastrophic dice rolls, and a physics-defying jetpack solution. If you've ever wondered how Call of Cthulhu actual play gameplay, learning Pulp Cthulhu through play, or tabletop RPG session flow examples look in the wild, this episode shows you — loudly, chaotically, and probably while someone is falling off a cliff. Show Notes This installment of the RPGBOT Quickstart actual play series transitions from theory into demonstration, showcasing how to learn Pulp Cthulhu gameplay mechanics through live play. Following prior episodes on system concepts and character creation, the cast introduces their pulp-era investigators — including an eccentric engineer and a circus-trained occult bruiser — tasked by an FBI occult task force to intercept Nazi relic hunters in 1935. The scenario begins aboard a desert-bound train headed toward a meeting with archaeologist Iowa Roberts, where the party examines a mysterious artifact that functions like a supernatural compass pointing toward the mythical desert city tied to forbidden lore. Their investigation is interrupted when the rival occult agent Scarlet Arachnus steals the relic during a catastrophic derailment, throwing the game immediately into cinematic action and demonstrating combat initiative, skill rolls, and survival mechanics in Call of Cthulhu actual play. Escaping a precariously hanging train car, the players confront armed enemies, navigate terrain hazards, and showcase mechanical problem-solving through teamwork and skill checks — highlighting how dice outcomes shape narrative consequences. The action continues across exposed train cars with firefights against heavily armed foes, illustrating tactical movement, cover usage, and pulp-style heroics. After surviving the encounter and sabotaging the collapsing train, the group scavenges supplies, uncovers clues, and discovers evidence of a larger occult plot: a map referencing desert pillars and connections to mythic texts associated with forbidden knowledge. Realizing they've handed the artifact to their enemies, they pivot to pursuit — commandeering and repairing a damaged vehicle, demonstrating mechanical repair gameplay and collaborative skill usage. The session concludes with the party navigating across the desert using improvised technology to track tire marks toward their adversaries — emphasizing exploration and skill-driven storytelling in tabletop RPG actual play teaching examples. Overall, this consolidated episode functions as a practical tutorial on how actual play sessions model rule application, improvisation, and narrative escalation, blending cinematic pulp action with procedural gameplay instruction. Key Takeaways Actual play is an effective way to learn Pulp Cthulhu rules and gameplay flow in context Character introductions reinforce narrative hooks and mechanical identity Skill checks drive storytelling outcomes — success and failure both move plot forward Combat showcases initiative, cover, and pulp-action pacing Environmental hazards highlight survival and problem-solving mechanics Collaborative play enables creative solutions beyond strict rules Resource scavenging and clue discovery reinforce investigation gameplay Vehicle repair and navigation demonstrate non-combat system depth Narrative escalation illustrates long-form campaign structure Session ends with forward momentum toward mythos investigation and pursuit 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

Let the Revolution begin! The X-Men transform after the six month gap with all new villains like The Neo, the Goth, the Lost Souls, and more! Join Jean as she becomes Phoenix, Cable, Storm Kitty, Colossus, Gambit, Beast, the new Thunderbird, Psylocke, Rogue, Dani Moonstar, Cecelia Reyes, Nightcrawler – EVERYONE'S HERE! The X-Men go international, into space, and battle the darkest villain they've met – including Tullamore Voge, Lady Deathstrike, Stryfe, & the worst-of-the-worst, as Claremont returns and begins to set up over 15 years of stories! Read along with X-Men 100 - 106 & Annual 2000, The Uncanny X-Men 381 - 386, X-Men Unlimited 27 - 28, & Magneto: Dark Seduction 1 - 4 – it's all this and more on an all new X Is For Comics: An X-Men Podcast!

This week, Aaron and Leyla give a deservedly short sendoff to the Matrix Revolutions! Join us for discussions of critical structural flaws, not knowing what Neo and Trinity would talk about at dinner, and let's say, several distractions.  ---  Our theme song is "Obsolete" by Keshco, from the album "Filmmaker's Reference Kit Volume 2." Our other projects: Aaron's TTRPGs Aaron's TTRPG Reviews aavoigt.com

Die ATP Challenger Tour ist zurück in Deutschland und es war ein Festival bei den Koblenz Tennis Open. Gleich 13 deutsche Spieler standen im Hauptfeld des Einzelwettbewerbs, drei von ihnen schafften den Sprung ins Halbfinale – und mit Tom Gentzsch erreichte sogar ein DTB-Crack das Endspiel des ATP Challenger 50 Turniers. Im Finale am Sonntagnachmittag lieferten sich Gentzsch und der Russe Pavel Kotov ein hoch emotionales und dramatisches Duell. In einem mit vielen hochkarätigen, teils spektakulären Ballwechseln gespickten Endspiel setzte sich die ehemalige Nummer 50 der Welt nach 2:46 Stunden mit 6:4, 1:6, 7:6(8) durch. Florian Heer (tennistourtalk.com) war vor Ort und hat ... 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.

There are monsters in tabletop RPGs that exist to be fought, monsters that exist to be feared, and monsters that exist to make the Dungeon Master quietly whisper, "I hope you prepared spells with saving throws." Beholders fall squarely into that last category. This week on RPGBOT.Podcast, we're diving deep into Beholder-Kin — floating orbs of paranoia, laser violence, and architectural malpractice. From tiny gazers that exist solely to be annoying, to death tyrants that refuse to stay dead out of spite, we explore why beholders remain one of Dungeons & Dragons' most iconic, miserable, and tactically terrifying monsters. Along the way, we discuss dream-based reproduction, anti-magic cones, and why every beholder lair looks like it was designed to fail a building inspection on purpose. Show Notes Beholders are one of the oldest and most recognizable monsters in Dungeons & Dragons, and for good reason. They aren't just bags of hit points with flashy attacks — they're intelligent, paranoid, and cruel creatures that reshape both combat and storytelling the moment they appear in a campaign. In this episode, the hosts break down what defines beholders and their many variants, collectively known as Beholder-Kin, and why they're such effective villains across nearly every tier of play. The discussion starts with what makes beholders fundamentally different from other monsters. Their signature eye rays, combined with a central anti-magic eye, mean that fights against beholders rarely follow predictable patterns. Even experienced players are forced to react rather than execute clean plans. The randomness of eye rays creates chaos, but the creature's intelligence means that chaos is applied with intent — the rays may be random, but the targets absolutely are not. From there, the conversation expands into the many variants of Beholder-Kin found throughout D&D. Gazers, spectators, gauths, mind witnesses, beholder zombies, death kisses, and death tyrants all represent different expressions of the same alien biology. Each fills a distinct role, allowing Dungeon Masters to introduce beholder-themed encounters from the earliest levels all the way into high-tier play without losing flavor or threat. This flexibility is one of the reasons beholders remain so enduring in D&D design. Combat tactics play a major role in the episode, especially the importance of running beholders intelligently. A beholder that floats into melee range and trades bite attacks is a beholder being played incorrectly. These creatures thrive on distance, verticality, and environmental control. Their lairs are often carved with disintegration rays, filled with vertical shafts, traps, and contingency plans, and designed to punish creatures that rely on gravity. When played well, a beholder encounter feels less like a fair fight and more like surviving a hostile environment that actively hates you. The episode also dives into beholder lore and ecology, which somehow manages to be both fascinating and deeply unsettling. Earlier editions described grotesque physical reproduction, while modern D&D reframes beholder reproduction as a dream-based phenomenon where nightmares literally manifest new beholders into reality. This almost always results in immediate territorial violence, reinforcing the idea that beholders are incapable of peaceful coexistence — even with themselves. To balance the horror, the hosts also explore notable exceptions in D&D lore. Famous beholders like Xanathar embody tragic paranoia, while figures like Large Luigi — an omniscient beholder tavern owner in Spelljammer — prove that even reality-warping aberrations can choose hospitality over genocide. These examples highlight how beholders can serve not just as villains, but as unforgettable NPCs, information brokers, or narrative wild cards. The episode wraps by touching on player-facing options. While players can't normally play beholders, they can still interact with Beholder-Kin through warlock patrons, summoned spectators, or gazer familiars. Used carefully, these options let players brush up against beholder weirdness without completely breaking the game — though the temptation to do something irresponsible is always there. Key Takeaways Beholder-Kin work because they operate on multiple levels at once. Mechanically, they introduce chaos through randomized effects, but narratively they reward intelligent, ruthless play. A beholder encounter is never just about hit points — it's about positioning, preparation, and survival. These monsters scale exceptionally well across a campaign. From CR ½ gazers to CR 14 death tyrants, Beholder-Kin allow Dungeon Masters to introduce consistent themes without repeating the same fight. Each variant reinforces the core beholder identity while adding new tactical wrinkles. Lair design is not optional when using beholders. Their environments are an extension of their personality: vertical, hostile, and unapologetically unfair. A beholder fought on flat ground is missing half its threat. Finally, beholders remain iconic because they embody the strange heart of D&D. They're terrifying, absurd, overdesigned, and deeply committed to their own misery. Whether used as cosmic horror, dungeon boss, or omniscient bartender, Beholder-Kin remind us that sometimes the most memorable monsters are the ones that don't want to exist — but absolutely refuse to stop. 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

Shopping should be simple. But for most of us, it’s turned into tabs open everywhere, conflicting reviews, and that lingering doubt that you’ve either missed a better option or paid more than you needed to. We walk through how we actually use AI tools when we’re buying something, from working out what problem we’re trying to solve, to comparing products without getting lost in specs and opinions. We also dig into some of the most frustrating parts of shopping, like finding the best price, checking historical lows, tracking price drops, and hunting down discount codes without trawling scammy websites. Neo and I discuss: How AI helps at the very start of the buying journey by clarifying what problem you’re actually trying to solve Using AI to compare products side by side, including features, pricing and versions Why AI is especially useful for complex purchases like electronics and appliances The differences between Perplexity, Google AI mode and ChatGPT when researching products How to use AI to find the best price and check historical price lows Setting up scheduled prompts to monitor prices and alert you when they drop Using AI to search for discount codes without trawling scammy or spammy websites 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.

Willkommen zur neuen Ausgabe von Chip & Charge – dieses Mal mit der Woche nach den Australian Open. Während auf der WTA Tour 3 Turniere stattfanden, waren bei den Herren viele im Davis Cup im Einsatz. In Montpellier konnte sich Felix Auger-Aliassime den Titel holen. In Abu Dhabi bei den Damen gab es eine faustdicke Überraschung. Hier konnte sich Sara Bejlek ihren ersten Titel auf der Tour holen. Die 20-Jährige war als Qualifikantin ins Turnier gestartet, am Ende jedoch die beste Spielerin der Woche. Im Finale gewann sie gegen Ekaterina Alexandrova. Auch für Hayley Baptiste war das Turnier ein Erfolg mit ihrem ... 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.

Death in Dungeons & Dragons is weird. Sometimes it's a tragic, character-defining moment that reshapes the campaign. Other times it's a minor inconvenience solved by rooting around in the cleric's pockets for a diamond and a receipt. In this episode, we crack open the lid on resurrection mechanics—how revivify, raise dead, and resurrection actually work, why death saving throws matter less than you think, and how coming back from the dead can be anything from epic storytelling fuel to a mildly awkward coffee break. Show Notes In this episode of the RPGBOT.Podcast, we dive deep into resurrection mechanics in Dungeons & Dragons, breaking down how character death really works—and why raising the dead is both a mechanical safety net and a narrative landmine. We cover the full spectrum of D&D death rules, starting with death saving throws, stabilizing, and the fine line between "down but not out" and "start pricing diamonds." From there, we examine the most common resurrection spells—Revivify, Raise Dead, and Resurrection—comparing spell timing, material components, and the hidden costs that often get ignored at the table. The discussion digs into why resurrection spells can undermine tension if handled casually, how consequences of death in D&D can strengthen long-term storytelling, and when it's okay for resurrection to be fast, cheap, and reliable. We also talk about optional rules, narrative gates, and DM-side tools that make bringing characters back to life in tabletop RPGs feel meaningful without punishing players for bad dice luck. Whether you're a player wondering how safe your character really is or a DM trying to balance drama with fun, this episode is your practical, no-nonsense guide to how resurrection works in D&D 5e—and how to make it better at your table. Key Takeaways Death saving throws are a buffer, not a guarantee—most characters die because of timing, not bad luck Revivify vs Raise Dead vs Resurrection is less about power level and more about narrative impact Material components, especially diamonds, are the real currency of immortality in D&D Easy resurrection lowers tension unless DMs introduce narrative or social consequences Resurrection mechanics work best when death still means something, even if it isn't permanent Clear expectations around death and revival prevent table-side frustration and tonal whiplash 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

Welcome to the RPGBOT.Podcast, where today's character creation lesson begins with basic geometry, escalates into psychic powers, and somehow ends with a pacifist circus bear being seriously considered as a build option. In this episode, we take the gloves off and actually make characters for Pulp Cthulhu—choosing archetypes, rolling stats, hoarding skill points like goblins, and discovering that if you roll too well, you might accidentally invent the world's first telepathic himbo artist. If you've ever wondered how Call of Cthulhu character creation becomes fast, fun, and dangerously powerful, this is where the pulp really starts to flow. The D8 goes in the D8 hole. Show Notes This episode walks step-by-step through Pulp Cthulhu character creation, showing how investigators are built to be tougher, broader, and far more cinematic than their classic Call of Cthulhu counterparts. Ash guides Tyler and Randall through the full process—then breaks it down into a Quick & Dirty method that can get players to the table in minutes. Step 1: Choose an Archetype Archetypes replace traditional "classes" and are rooted in classic pulp fiction roles: Mystic (psychic powers, occult insight, vibes) Egghead (engineers, scientists, gadgeteers) Two-Fisted, Swashbuckler, Femme Fatale, Bon Vivant, and more Each archetype: Defines a core characteristic Grants bonus archetype skills Suggests traits, occupations, and story hooks This approach encourages concept-first design, letting the character idea drive the mechanics instead of the other way around. Step 2: Generate Characteristics Attributes are rolled using the familiar D100 roll-under system, but with a key twist: Core characteristic = 1d6 + 13 × 5 (expect very high numbers) Other stats use 3d6×5 or 2d6+6×5 High pulp means exceptional competence The result? Characters who feel powerful immediately—sometimes too powerful, leading to delightful accidents like rolling: Incredible Power Solid looks Questionable intelligence (Yes, the "himbo build" is real.) Step 3: Talents (High Pulp Edition) Because this game is running High Pulp, characters receive four talents instead of two. Talents are drawn from four categories: Physical Mental Combat Miscellaneous Highlights from the episode include: Psychic Powers Arcane Insight Weird Science Animal Companion (responsibly downgraded from "bear" to "bear-adjacent dog") Talents dramatically define how characters play and reinforce pulp action over fragile realism. Step 4: Occupation & Skill Points Occupations grant massive skill point pools, often hundreds of points: Skills start with base percentages Occupational skills come first Archetype skills add another 100 points Personal interest skills add even more The result is wide, competent characters instead of hyper-specialized glass cannons. The episode includes practical advice: Avoid pushing every skill to 95 Aim for flexibility, not just peak numbers Remember Credit Rating is mandatory and matters in play Step 5: Backstory (Fast but Meaningful) Instead of long essays, Pulp Cthulhu uses structured prompts: Personal description (biased, first-person) Ideology and beliefs Significant people Treasured possessions Traits Random tables spark instant character hooks, like: Idolizing Nikola Tesla Carrying calipers as a grounding object Shared trauma bonds Risk-taking or unreliable personalities One key backstory element becomes your Sanity anchor, helping characters recover from mental trauma. Quick & Dirty Character Creation Ash closes the episode with a streamlined alternative: Assign preset stat values Pick talents Select skills from fixed arrays Roll backstory details Start playing immediately Perfect for one-shots, convention play, or groups eager to punch cultists now, not in two hours. Key Takeaways Pulp Cthulhu character creation is fast, flexible, and cinematic Archetypes replace classes with strong narrative identity High Pulp characters start powerful and stay relevant Talents are the heart of customization Skill points are plentiful—breadth is rewarded Structured backstory tools create instant roleplay hooks The Quick & Dirty method gets you playing in minutes Yes, you can accidentally build a psychic himbo—and that's a feature 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

Find our review of The Matrix here:  https://www.podomatic.com/podcasts/alostplot/episodes/2026-01-30T16_36_07-08_00 In this episode, Maverick and Andrew delve into the complexities of 'The Matrix Reloaded,' exploring its plot, character dynamics, and thematic elements. They discuss Neo's development, the significance of love and sacrifice, and critique the film's extensive fight scenes. They delve into the complexities of character choices and themes in the Matrix series, particularly focusing on Neo's dilemma between saving Trinity and humanity, the evolution of villains, and the implications of belief and love. They discuss the effectiveness of cliffhangers and the film's themes of free will versus determinism, ultimately reflecting on the film's impact and success despite its critiques.----------Highlights:0:00 ‘The Matrix Reloaded' Introduction6:15 Neo16:06 Does the Film Raise the Stakes?27:12 The Architect's Revelation36:36 The Agents & The Architect39:12 Morpheus & Trinity49:18 Themes & Messages52:15 Conclusion & Lasting Impact#matrix #matrixreloaded #neo #morpheus #keanureeves #alostplot #wachowski #film #filmreview #fightscenes #love #cliffhanger #ai #agentsmith

Coming back from a few days off work should feel refreshing. Instead, it often means opening your inbox to 200 unread emails and not knowing where to start. In this How I AI episode, we look at how AI can help you get oriented faster by scanning, sorting, and summarising what’s landed while you were away. If email is a constant source of friction in your workday, this conversation will help you approach it more strategically. We talk through practical ways to use AI to triage your inbox quickly, catch up on long email threads, and create daily or weekly digests that surface what actually needs your attention. We also cover how to use AI to write better replies in your own voice, reflect the communication style of the person you’re replying to, and schedule meetings directly from an email thread using Microsoft Copilot. Neo and I discuss: Which AI tools can access your inbox and what that depends on Using AI to summarise unread emails after time away Creating tables that show what matters, what needs action, and what can wait How to generate daily or weekly inbox digests automatically Catching up on long email threads with clients, projects, or teams Using sent items to identify emails you still need to respond to Writing better replies by analysing your own writing style Reflecting someone else’s communication style to get better responses Scheduling meetings directly from email threads using Microsoft Copilot 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.

In this episode, Maverick and Andrew delve into the iconic film 'The Matrix,' exploring its themes of reality, truth, and social conditioning. They analyze the character of Neo, his journey of self-discovery, and the role of Morpheus as a mentor. The conversation also touches on the cultural influences that shaped the film and its lasting impact on society. Through their discussion, they highlight the film's exploration of choice, belief, and the implications of knowledge in a digital age. The dialogue highlights the impact of the film on popular culture and its lasting legacy, while also addressing personal expectations and experiences with the movie.----------0:00 ‘The Matrix' Introduction6:17 Neo / Thomas Anderson14:22 Themes & Messages30:19 Morpheus36:27 Trinity42:34 Cypher47:08 The Oracle49:38 Agent Smith & His Team52:30 Conclusion & Lasting Impact#thematrix #neo #agentsmith #alostplot #film #filmthoughts #thomasanderson #mranderson #morpheus #keanureeves #laurencefishburne #hugoweaving #storyline #plot 

Today, we are launching How I AI, a new weekly show dropping straight into your How I Work feed every Monday. Over the past few years, I’ve become deeply interested in AI – not because I’m a tech geek, but because I’ve seen what happens when the right tools are used in the right way. You get time back. You think more clearly. And the work itself gets better. I’m joined by Neo Aplin, who heads up inventium.ai, our AI training arm at Inventium. Neo spends his days testing tools, platforms and models so the rest of us don’t have to. In today’s show, Neo and I walk through the 13 AI tools we use every day. We cover: How Neo and I use different large language models for different kinds of thinking, writing and research Why Gemini has become my go-to for deep research How I capture meetings without recordings using Granola Privacy-first alternatives for note-taking and meetings Using Consensus to explore science-backed answers and academic research Why Perplexity is brilliant for product research and comparisons The podcast app I rely on to save ideas without breaking my listening flow How Wisprflow has replaced most of my typing Using NotebookLM to learn faster from long YouTube videos Turning spoken thoughts into journal entries with Letterly Running AI models locally for privacy, security and offline work 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 here are links to all the tools we spoke about: ChatGPT – best for thinking things through, research, and talking out rough ideas. Claude – the go-to when writing or editing and wanting something that actually sounds human. Gemini – strongest for deep research, especially when comparing results across tools. Microsoft Copilot – an AI EA inside Microsoft, working across emails, files, and documents. Granola – frictionless meeting notes that quietly capture transcripts and build smarter notes. Hyprnote – a privacy-first, local alternative to Granola that runs on your own computer. Otter – meeting transcripts with speaker labels, useful for in-person conversations. Consensus – science-backed answers pulled directly from academic research. Perplexity – ideal for product research, comparisons, reviews, and smarter shopping. Snipd – a podcast player that saves key moments with one tap, without breaking flow. Wispr Flow – fast, intelligent dictation that formats and corrects as you speak. NotebookLM – turns long YouTube videos into quick, searchable insights. Letterly – voice-based journalling that turns spoken thoughts into clean written entries. 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 and Neo Aplin Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Breaking developments in the D4VD investigation. Neo Langston, the 23-year-old Twitch streamer known as NeoTheAsian, was arrested at his mother's Montana home Thursday and transported to Los Angeles. He's now in custody at LAPD's Metropolitan Detention Center on $60,000 bail, charged with felony failure to appear as a witness.This arrest comes as a grand jury continues hearing testimony in the death of Celeste Rivas Hernandez. The 15-year-old's dismembered body was found in D4VD's impounded Tesla last September. Prosecutors reportedly believe D4VD was involved and are pushing for murder charges. The grand jury is expected to continue through February 2026.Neo's arrest follows a pattern of witness problems. In December, prosecutor Beth Silverman had to threaten a body attachment order to force a female witness to testify after she failed to appear. D4VD's manager Robert Morgenroth testified for days and was overheard saying he didn't call police because his job was to keep the tour going.Investigators have also identified a second suspect who may have been present during a mysterious late-night trip D4VD allegedly took to Santa Barbara County last spring — a trip sources believe involved Celeste's body.D4VD has not been arrested or charged. Neo is charged only with failure to appear. All individuals are presumed innocent until proven guilty.#TrueCrimeToday #D4VD #NeoLangston #CelesteRivas #BreakingNews #GrandJury #TrueCrime #CelesteRivasHernandez #LAPD #JusticeForCelesteJoin Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspodInstagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodListen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.

They found him at his mother's house in Helena, Montana. Neo Langston — Twitch streamer, content creator, and close friend of D4VD — was arrested Thursday on a felony warrant for failing to appear as a witness. By Friday night, he was booked into LAPD's Metropolitan Detention Center on $60,000 bail.The unit that tracked him down? LAPD Robbery-Homicide — the same division investigating the death of Celeste Rivas Hernandez. The 15-year-old's remains were discovered in D4VD's Tesla last September, dismembered and decomposing, one day after what would have been her birthday.Neo isn't the only witness giving prosecutors problems. A female witness went into hiding in December and had to be threatened with arrest. D4VD's manager testified that his priority was the tour — not calling police. And D4VD himself hasn't said a word since the body was identified.Investigators have reportedly identified a second suspect involved "before, during, and after" Celeste's death. Tesla data allegedly shows two people present during a late-night trip to remote Santa Barbara County last spring. The question now: Is Neo that second suspect, or just a witness who knows too much?D4VD has not been charged. Neo faces only failure to appear charges. All individuals are presumed innocent. But the pattern is clear — everyone around David Anthony Burke is either silent, running, or being dragged into court.#HiddenKillers #D4VD #NeoLangston #CelesteRivas #TrueCrime #GrandJury #LAPD #CelesteRivasHernandez #NeoTheAsian #JusticeForCelesteJoin Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspodInstagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodListen Ad-Free On Apple Podcasts Here: https://podcasts.apple.com/us/podcast/true-crime-today-premium-plus-ad-free-advance-episode/id1705422872This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.