Podcasts about Positron

In Xbox Kompakt werfen wir jeden Samstag einen Blick zurück auf die vergangene Woche und fassen für euch die News-Highlights rund um unsere Lieblingskonsole zusammen - eigentlich bei YouTube, doch jetzt bekommt ihr alle Infos auch hier auf die Ohren!Inhalte dieser Folge im Detail:00:00 Hey Leute00:37 Spieledisc, Positron - https://t.co/63ic3pLRB101:31 Entlassungen - https://t.co/Dh4q1TFBbT06:24 Podcast + Feedback - https://t.co/K6pPHviTj610:04 Avowed + Fallout - https://t.co/HwN5b6OE9V11:40 Xbox Exclusives - https://t.co/xqKNX8HcEf14:34 Xbox Game Pass - https://t.co/yLgq3DEPaq15:29 Free Play Days - https://t.co/grYG0DlpVK15:41 Mortal Shell 2 - https://t.co/vJ0Ud1opEb15:54 Brigandine Abyss - https://t.co/H8vL25xJMV16:12 Subnautica 2 - https://t.co/RUvjjBc1lX16:23 Achilles - https://t.co/11ApMWYySQ16:58 Xbox Highlights - https://t.co/P0o8Qdyz4F17:10 Assassin's Creed - https://t.co/t1kH716yeI19:40 Vorschau20:00 Ciao ciao!

In Xbox Kompakt werfen wir jeden Samstag einen Blick zurück auf die vergangene Woche und fassen für euch die News-Highlights rund um unsere Lieblingskonsole zusammen - eigentlich bei YouTube, doch jetzt bekommt ihr alle Infos auch hier auf die Ohren!Inhalte dieser Folge im Detail:00:00 Hey Leute00:27 Spieledisc, Positron - https://t.co/63ic3pLRB106:58 Video-Podcast - https://t.co/02c9Ameqco07:15 Vorschau Juli - https://t.co/5BdUTWzSAD07:32 Kinguin - https://t.co/96I8AM7yfj08:04 Free Play Days - https://t.co/p9ZYDUdGRO08:25 Remothered Remastered - https://t.co/k33LyIWLKM09:02 Guns of Eschaton - https://t.co/RmibAIosUI09:12 Cinder City - https://t.co/yvQpANtpNe09:38 Onimusha - https://t.co/plprfwXfkP09:50 Attack on Titan 3 - https://t.co/oZvbCyawNA10:07 Nickelodeon Tennis - https://t.co/zzNoXlCWYG10:20 Avatar Legends - https://t.co/LwsBq1duaR10:50 Outbound - https://t.co/MGkKF3D3Ad11:03 Albion Online - https://t.co/zOhAl6z36p11:12 World of Tanks - https://t.co/OcaPTEVfdT11:26 The Alters - https://t.co/ZNiF2c0j0M11:46 Xbox-Highlights - https://t.co/H8rzTcJizm11:59 RV There Yet - https://t.co/SNXkIhSWjO13:28 Vorschau13:53 Ciao ciao!

Doug Erwin sits down with Tristan Pollock, Managing Director of Generator's Electrify Nevada program, to talk about Reno's growing startup ecosystem, Nevada's strategic advantage in energy and hard tech, and why the region is positioned for a new wave of founder growth. They cover Tristan's path from startup founder to accelerator operator and investor, the role of AI in entrepreneurship, and how Nevada can turn speed, infrastructure, lifestyle, and deep-tech talent into a durable startup flywheel. Show notes In this episode of Growth Pioneers, Doug talks with Tristan Pollock about the next phase of Reno's startup ecosystem. Tristan shares how his journey from Minnesota to Silicon Valley, 500 Startups, climate investing, and global accelerator work eventually brought him to Reno. Now leading Generator's Electrify Nevada program, he is focused on helping energy, battery, manufacturing, industrial AI, and hard-tech founders break into Nevada's ecosystem faster. The conversation explores why Nevada has become such a compelling place for founders: proximity to Silicon Valley, fast permitting, major industrial infrastructure, lithium and geothermal strengths, renewable energy, the Tahoe/Reno lifestyle, and a growing base of startup success stories like Positron, Redwood Materials, Ampersand, and SendCutSend. Doug and Tristan also dig into AI's impact on founders, fundraising, outreach, and company building. Rather than treating AI as just better prompting, they talk about it as a new operating layer for entrepreneurs: helping people research, build, automate, and scale faster than ever before. The episode closes with a broader conversation about optimism, social impact, the future of work, and why curiosity may be the most important entrepreneurial skill in a period of rapid technological change. Key themes • Reno's ecosystem is moving from potential to sophistication. • Electrify Nevada helps founders speedrun market entry into Nevada. • Nevada's edge is strongest in energy, batteries, mining, manufacturing, logistics, hard tech, and industrial AI. • AI is changing how founders build, raise capital, find customers, and operate. • The next regional win is building a self-reinforcing startup flywheel: talent, capital, exits, reinvestment, and local founder density. • Optimism and curiosity matter in a moment where technology is changing faster than institutions can adapt.

Neste episódio, Paulo, Thiago, Rafael e Arthur falando de Futebol, Dark Horse, Thiago compra um Switch 2, rumores Xbox "Positron" (troca de discos por cópia digital), tapetes profissionais de DDR, Dance Dance Revolution, dancefitgaming.com.br, jogos de ritmo, Jubeat, Mixtape, Caio dos mil CDs, música como hobby, lançamento de Forza Horizon 6, vazamento de Forza, Michael (Jackson, o filme), Prince, Michael Jackson no Rio, Thriller, Bad, Paulinho da Costa, calçada da fama, Wiplash, In A Violent Nature, Weapons (A Hora do Mal), Zack Cregger, The Whitest Kids U'Know, Smile 2, XBOX Player VoiceTodos os links do godmode agora estão organizados aqui - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/godmode.podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Se for mandar email reclamando - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠contato@godmodepodcast.com⁠⁠⁠

Αλλάζουν πρόσωπα στο Xbox, η Capcom είναι ασταμάτητη, η SEGA παρατά το Super Game, ενώ η Roblox επιμένει στον πλανήτη χάπι. Get in touch: Email | Twitter Ι Facebook Group Hosted by: Elias Pappas - Facebook | Twitter | Instagram Manos Vezos - The Vez | Facebook | Twitter | Instagram Ι Apple Music M&A Atari acquires rights to first five Wizardry RPGs Pearl Abyss sells CCP back to its CEO for less than half what it paid, plus $20 million in crypto CCP Games rebrands as Fenris Creations following sale from Pearl Abyss "I'm not going to fight the Chinese Communist Party" – Why Eve Online firm CCP Games rebranded to Fenris Creations Immense Engine Guerrilla Games co-founder Arjan Brussee announces plans to build European-based games engine VS Studio SNK announces new studio lead by Tekken veteran Katsuhiro Harada Αποτελέσματα Remedy Remedy reports "stable" Q1 performance despite decreases in revenue and operating profit EA EA closes FY26 with "record" performance thanks to Battlefield 6 and Apex Legends Pearl Abyss Crimson Desert increases Pearl Abyss Q1 earnings more than fivefold to $220.6m SEGA Sega reports $31.6m net loss during FY26, cancels 'Super Game' project amid strategic pivot Capcom Capcom secures ninth consecutive year of profit boosted by Resident Evil Requiem Sony PlayStation records $765m impairment loss from Bungie as operating income falls 41.6% in Q4 Sony maps out how first-party PlayStation studios are utilising AI tools during development Nintendo Nintendo FY sales soar 98.6% to $14.6bn following launch of Switch 2 Nintendo hikes Switch 2 prices, revises console costs in Japan, US, Canada, and Europe Nintendo Announces $500 Switch 2 Bundle With Choice of First-Party Game Nintendo share value falls as president admits increased prices will "raise the barrier to purchase" Roblox Scaler Roblox announces AI-driven upscaler, which it claims will convert Roblox titles to photorealistic graphics Xbox Xbox Game Pass and Discord: Building on Our Partnership to Bring More Benefits to Players Nitro Now Comes with Xbox Game Pass and New Benefits. Welcome to Nitro Rewards. Discord Nitro subscribers to receive "starter edition" of Xbox Game Pass through new partnership "Project Saluki": A new Xbox Game Pass tier has been unearthed, alongside a curious "Positron" potential disc-to-digital program — and it could be huge Xbox announces leadership changes as it stops development of Gaming Copilot for console

Discord: https://discord.com/invite/mzZnJuVwdT |  SUSCRÍBETE  A NUESTRO CANAL DE YOUTUBE: |  https://www.youtube.com/@sonido_boom?sub_confirmation=1 |  NUESTRO CANAL PRINCIPAL: |  https://www.youtube.com/abuguet |   Esta semana Ep. 379:  (0:00) - Intro. ===EL CORAZÓN DE LAS CARTAS=== (1:27) - Jhonyboy_007: Queremos historias nuevas. (2:05) - @BieloPrusia: Yo nunca he jugado Star Fox. (9:34) - Jesus.m.hinojosa:  Star Fox es para los papás. ===TEMAS DE LA SEMANA=== (11:00) - El Nintendo Switch 2 sube de precio. (31:11) - Xbox anuncia Game Pass en colaboración con Discord. (40:15) - Saluki y Positron, los dos proyectos secretos de Xbox. (53:58) - Europa quiere hacerle la competencia a Unreal Engine.  (1:19:03) - Precios regionales aparecen en Playstation Store México. ===SPEEDRUN DE NOTICIAS=== (1:45:40) - Reino Unido pide cuentas a Rockstar. (1:46:49) - Double Fine ha decidido sindicalizarse.  (1:47:45) - MercurySteam (Metroid Dread) ha reportado despidos.  (1:47:53) - Capcom la está rompiendo, por noveno año en fila.  (1:50:05) - Konami también la está rompiendo, por 3er año consecutivo.  (1:50:21) - Creador de Tekken tiene nuevo estudio. (1:50:51) - eBay ha rechazado la “oferta” de compra de Gamestop.  (1:51:16) - Crimson Desert aumenta 2,584% en utilidades. (1:53:29) - Sega ha cancelado su “super juego”.  (1:54:07) - La secuela de Stellar Blade será multiplataforma. (1:55:05) - El steam controller grita si se te cae. (1:57:17) - Las ofertas y descuentos de la semana con el Arbano Peps.

We know why you're here every week. To answer that one burning question...  Where does Microsoft Solitaire Collection sit on the chats?   Now on with The Regular Show  

Forza Horizon 6, Subnautica, Outbound, Nintendo-prijsverhogingen, Sony, Marathon, Assassin's Creed Black Flag, Xbox Project Saluki en Positron, Starfield.

No Bom Dia, Minha Vida de hoje, Isadora Basile comenta o vazamento do e-mail da Best Buy que indica abertura de pré-venda de GTA 6 para 18 de maio — e a especulação de que um terceiro trailer pode vir junto; os codinomes internos do Xbox "Project Saluki" e "Positron", que apontam para um Game Pass específico para a China e um possível sistema de conversão de disco físico em digital; a confirmação velada da Amazon de que o MMO de Senhor dos Anéis foi cancelado; os resultados recordes da Capcom no ano fiscal de 2026, com 59 milhões de jogos vendidos e Resident Evil Requiem como grande motor; a nova data do filme live-action de Zelda, antecipado para 30 de abril de 2027; e a lineup do PS Plus Extra de maio, com Red Dead Redemption 2 e Star Wars Outlaws disponíveis a partir do dia 19._________________❤️____________________

Sponsorem dzisiejszego odcinka jest aplikacja BookBeat, która służy do słuchania audiobooków i czytania e-booków.KOD: ROCKIBORYShttps://www.bookbeat.com/pl/rockiborys?utm_source=spotify&utm_medium=podcast&utm_campaign=PL-rock-i-borys-action-3125&utm_content=textlink-spot-epi-description-30db&utm_term=deal3(00:00) Bookbeat - fragment sponsora(13:20) Co tam u nas słychać(14:55) Steam Controller(25:12) Diablo 4 Lord of Hatred(31:35) Saros(38:44) Directive 8020(51:47) Struktura Kryształu - 35mm online(56:30) Spider-Noir(01:02:44) Xbox wchodzi do ChinJak wygląda chiński rynek gier?https://youtu.be/kzlLR6icmB0?si=GpKP1rAKTTJqtDTL"Project Saluki": A new Xbox Game Pass tier has been unearthed, alongside a curious "Positron" potential disc-to-digital program — and it could be hugehttps://www.windowscentral.com/gaming/xbox/project-saluki-a-new-xbox-game-pass-tier-has-been-unearthed-alongside-a-curious-positron-disc-to-digital-program-and-it-could-be-hugeDiablo IV: Lord of Hatred | Launch Trailerhttps://youtu.be/Qu1PmW-Qzxk?si=RdUje3Uhjw78dC4ASaros - Launch Trailer | PS5 Gameshttps://youtu.be/rj_1CzKUR4w?si=7DfCjVLgK9qc4Vg6Directive 8020 | Launch Trailerhttps://youtu.be/a75f2z_I7QU?si=NJjfp0yy6fuyT7_MGrupa Rock i Borys na FB - https://www.facebook.com/groups/805231679816756/Podcast Remigiusz "Pojęcia Nie Mam" Maciaszekhttps://tinyurl.com/yfx4s5zzShorty Rock i Boryshttps://www.facebook.com/rockiboryshttps://www.tiktok.com/@borysniespielakSerwer Discord podcastu Rock i Borys!https://discord.com/invite/AMUHt4JEvdSłuchaj nas na Lectonie: https://lectonapp.com/p/rckbrsSłuchaj nas na Spotify: https://spoti.fi/2WxzUqjSłuchaj nas na iTunes: https://apple.co/2Jz7MPSProgram LIVE w niedzielę od osiemnastej - https://jarock.pl/live/rockRock i Borys to program o grach, technologii i życiu

Mitesh Agrawal has a background in Mechanical Engineering. He was one of the co-founders of Lambda, a company in the supercomputing space, where he spent 8.5 years working on everything under the sun. He's very grateful to be in an industry that is booming, but also aligns with his personal interests. Outside of tech, he is married to an ultra supportive wife, and is enjoying being a new father. He enjoys playing tennis, when he can find time to get to the court, and enjoys a good sci-fi book. He mentioned the Foundation series was one of his favorites, but admits it changes depending on the season.In 2023, the officers at Mitesh's current venture noticed all of the advancements of AI - in particular, model sizes getting larger. What they realized was that when it comes to inference, memory capacity quickly became a problem... and with this, he and the team got excited about building a new architecture to make it better.This is the creation story of Positron.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.positron.ai/https://www.linkedin.com/in/mitesh7/Support this podcast at — https://redcircle.com/codestory/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Positron AI is a 2+ year old silicon company targeting decode-heavy AI inference workloads where memory bandwidth, not compute, is the bottleneck. Launching end of 2025/early 2026, their architecture delivers 2TB of on-chip memory capacity versus Nvidia Rubin's 0.4TB—enabling 3-5x better performance per dollar and per watt for reasoning models, code generation, and video generation. In this episode, Mitesh Agrawal shares how Positron identified the memory bandwidth gap in a market where Nvidia controls 90%+ share, why they're prioritizing anchor customer commitments over product completion, and the hard lessons from Lambda Labs about rapid iteration and customer-driven optionality. Topics Discussed: Positron's technical approach: focusing on memory bandwidth and capacity over compute for inference workloads Why decode-heavy applications (reasoning models, video generation, code generation) are becoming memory-bound The challenge of selling silicon to hyperscalers when Nvidia controls 90%+ of the market Building optionality into product strategy: air cooling vs. liquid cooling as unexpected GTM advantage Learning to sell hardware before the product ships and why anchor customers matter Lambda Labs experience: lessons on rapid iteration and thoughtful hiring during hypergrowth Maintaining engineering-centricity: 47 of 50 employees focused on product development GTM Lessons For B2B Founders: Find technical bottlenecks in high-growth markets: Positron identified that memory bandwidth wasn't scaling as fast as compute, creating a bottleneck for inference workloads. While Nvidia dominates with 90%+ market share, they optimize for training revenue. B2B founders should analyze where dominant players are constrained by their own economics or existing roadmaps, then build specifically for those underserved segments. Markets default to oligopoly, not monopoly: Mitesh observed that customers actively seek alternatives even when one vendor is superior. "Markets want oligopoly structure to exist," he explained. B2B founders shouldn't be discouraged by dominant incumbents—customers want optionality for leverage, supply chain resilience, and risk management. Position yourself as the credible alternative in specific use cases. Discover optionality through customer conversations: Positron initially pitched performance per watt without realizing air cooling capability was a major advantage. Only after selling their first product did they learn customers valued deploying in existing data centers without infrastructure overhauls. B2B founders should systematically debrief early customers to uncover which features solve problems you didn't anticipate. Sell before shipping in hardware: The biggest priority between now and product launch is securing anchor customers willing to commit purchase orders. "If you have someone to build for, the fillip it gives the engineering team, the confidence it gives operations and supply chain vendors—we underwrite that," Mitesh emphasized. Pre-sales derisk production, prove demand, and create momentum. B2B hardware founders should treat early customer commitments as product validation, not just revenue. Build storytelling into technical sales: Convincing customers to buy unshipped hardware requires months of narrative work. "It becomes like, if I sell it to you, why will it be useful to you? Is it going to save cost? Attract new customers? Drive growth?" Success means co-creating the internal business case your champion will present. B2B founders should invest heavily in helping customers articulate ROI and strategic value before asking for commitments. Maintain rapid iteration cadence: Nvidia ships every 12-15 months versus the industry standard of 3-4 years. "If you tell me that in 10 years you've launched 10-12 products in silicon, I will give much more probability we will be successful," Mitesh stated. B2B founders should structure operations and product development for continuous iteration rather than big-bang releases, even in traditionally slow-moving industries. Delay non-engineering hires until product proves itself: With 47 of 50 people in engineering, Positron has consciously prioritized product over go-to-market. "It was a very conscious decision," Mitesh emphasized. For deep-tech companies, this focus ensures you can actually deliver before scaling sales. B2B founders should resist pressure to build balanced teams early—let roles emerge from real needs rather than theoretical org charts.     Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

The investment comes from backers including the Qatar Investment Authority as demand for chips beyond Nvidia soars and as Qatar aims to build out its AI infrastructure. Also, To build and sell more of its autonomous underwater vehicles (AUVs), Apeiron Labs recently closed a $9.5 million Series A round led by Dyne Ventures, RA Capital Management Planetary Health and S2G Investments, the company exclusively told TechCrunch. Assembly Ventures, Bay Bridge Ventures, and TFX Capital participated. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Producing the highest performance, lowest power, and best total cost of ownership solution for AI transformer model inference.

Today's show:In this founder-focused episode of This Week in Startups, we sit down with Republic's Kendrick Nguyen to learn more about the company's efforts to make the private markets accessible to the common investor. Best known for its work in equity crowdfunding, the Valor-backed startup now offers access to secondary shares, tokenized assets, and much more. Following, TWiST spoke with Positron CEO Mitesh Agrawal to learn more about his company's inference-focused AI compute hardware. Related to fellow TWiST500 company Etched, Positron is building custom chips to take on the computing work required to deliver your AI query results faster and with less power draw than what GPUs can offer. With AI inference compute demand rising, the fellow Valor-backed startup has even more powerful systems coming to market in 2026 that have our hopes up that the AI cost curve can continue to point downward.Timestamps:0:00 - A future with more efficient and accessible intelligence0:41, the following sponsors are mentioned: AlphaSense, Vanta, and Oracle Cloud Infrastructure1:26 - Introduction to the episode and the two featured companies, Republic and Positron2:43 - The history and purpose of Republic, a financial crowdfunding platform5:39 - Discussion of the current state and growth of equity crowdfunding9:19 - Kendrick Nguyen explains Republic's role as a financial infrastructure company, not a competitor to venture capital firms11:17 - Sponsor: Oracle Cloud Infrastructure12:25 - Republic's different products, Republic Capital and Republic Venture, are explained14:00 - The challenges and progress of secondary trading for non-accredited investors20:14 - Sponsor: Vanta21:21 - The concept of a unified "e-finance" infrastructure is introduced25:45 - Positron CEO Mitesh Agarwal discusses the future of AI chips and the limitations of current GPUs for inference workloads31:12 - Sponsor: AlphaSense32:22 - Discussion on the inefficiency of GPUs for inference and how Positron's Atlas system addresses it38:30 - Positron's strategy of using their Atlas system to prove their technology and generate revenue42:51 - The market shift from AI training to inference and the future of Positron's chips51:14 - The confidence in Positron's capital efficiency and their ability to compete with NVIDIA52:47 - Positron's focus on linear algebra acceleration rather than just transformersSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(09:04) Netsuite - Download the ebook CFO's Guide to AI and Machine Learning for free at https://www.netsuite.com/twist(21:20) Coda - Empower your startup with Coda's Team plan for free—get 6 months at https://www.Coda.io/twist(31:43) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

  WFNMB and the AOCNMB meetingsIn this podcast, we talk about the upcoming meetings of the World Federation of Nuclear Medicine and Biology and the Asia Oceania Congress of Nuclear Medicine and Biology  https://www.wfnmb.org/https://aocnmb2025.com/TAGS WFNMB,AOCNMB,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; 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  WFNMB and the AOCNMB meetingsIn this podcast, we talk about the upcoming meetings of the World Federation of Nuclear Medicine and Biology and the Asia Oceania Congress of Nuclear Medicine and Biology  https://www.wfnmb.org/https://aocnmb2025.com/TAGS WFNMB,AOCNMB,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; 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  WFNMB and the AOCNMB meetingsIn this podcast, we talk about the upcoming meetings of the World Federation of Nuclear Medicine and Biology and the Asia Oceania Congress of Nuclear Medicine and Biology  https://www.wfnmb.org/https://aocnmb2025.com/TAGS WFNMB,AOCNMB,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; 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  WFNMB and the AOCNMB meetingsIn this podcast, we talk about the upcoming meetings of the World Federation of Nuclear Medicine and Biology and the Asia Oceania Congress of Nuclear Medicine and Biology  https://www.wfnmb.org/https://aocnmb2025.com/TAGS WFNMB,AOCNMB,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; 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  Nuclear Medicine Physics ToolsAndrew Chacon @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}In this podcast, we chat to Andrew Chacon at the ANZSNM, who has made a great set of tools for everyone to download and use for physicists, technologists, doctors, and everyone in nuclear medicine. Links below.  https://github.com/achacon01/nuclearMedicineToolsWebsitehttps://achacon01.github.io/nuclearMedicineToolsWebsite/index.htmlTAGS ANZSNM25,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,Austin @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; 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mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodes Enter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

  Nuclear Medicine Physics ToolsAndrew Chacon @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}In this podcast, we chat to Andrew Chacon at the ANZSNM, who has made a great set of tools for everyone to download and use for physicists, technologists, doctors, and everyone in nuclear medicine. Links below.  https://github.com/achacon01/nuclearMedicineToolsWebsitehttps://achacon01.github.io/nuclearMedicineToolsWebsite/index.htmlTAGS ANZSNM25,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,Austin @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; 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mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

  Nuclear Medicine Physics ToolsAndrew Chacon @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}In this podcast, we chat to Andrew Chacon at the ANZSNM, who has made a great set of tools for everyone to download and use for physicists, technologists, doctors, and everyone in nuclear medicine. Links below.  https://github.com/achacon01/nuclearMedicineToolsWebsitehttps://achacon01.github.io/nuclearMedicineToolsWebsite/index.htmlTAGS ANZSNM25,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,Austin @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; 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mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodes Enter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

  Nuclear Medicine Physics ToolsAndrew Chacon @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}In this podcast, we chat to Andrew Chacon at the ANZSNM, who has made a great set of tools for everyone to download and use for physicists, technologists, doctors, and everyone in nuclear medicine. Links below.  https://github.com/achacon01/nuclearMedicineToolsWebsitehttps://achacon01.github.io/nuclearMedicineToolsWebsite/index.htmlTAGS ANZSNM25,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,Austin @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

In this episode of R Weekly Highlights: We have a six-month follow-up perspective from an early Positron user, how the current landscape of AI tools perform when learning the ropes with the Tidyverse, and how you can create your first Observable plot while using R for data munging.Episode LinksThis week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @jonocarroll.fosstodon.org.ap.brid.gy (Bluesky) & @carroll_jono (X/Twitter)Positron: current joys and painsLearning the tidyverse with the help of AI toolsObservable for R usersEntire issue available at rweekly.org/2025-W15Supplement ResourcesPositron +1e https://open-vsx.org/extension/grrrck/positron-plus-1-eVanishing Gradients episode 47 (The Great Pacific Garbage Patch of Code Slop with Joe Reis) https://vanishinggradients.fireside.fm/47Observable color palette viewer https://observablehq.com/plot/features/scales#color-scalesObservable Plots (R/Pharma 2024 Workshop Series) https://www.youtube.com/watch?v=M6fP68XnacMSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixSunny Side Up - Yoshi's Island DS - ZackParrish - https://ocremix.org/remix/OCR04558Costa Del Sol DANCE - Final Fantasy VII - Posu Yan - https://ocremix.org/remix/OCR00095

Thriving in a multi-lingual data science lifestyle while authoring your next Quarto project, putting LLMs to the scientific test with parsing manuscripts, and replicating a life-saving spatial visualization originally created over 170 years ago!Episode LinksThis week's curator: Ryo Nakagawara - @R_by_Ryo@mstdn.social (Mastodon) & @rbyryo.bsky.social (Bluesky) & @R_by_Ryo) (X/Twitter)Creating multilingual documentation with QuartoThe ellmer package for using LLMs with R is a game changer for scientists{SnowData} 1.0.0: Historical Data from John Snow's 1854 Cholera Outbreak MapEntire issue available at rweekly.org/2025-W12Supplement ResourcesWes McKinney & Hadley Wickham (on cross-language collaboration, Positron, career beginnings, & more) https://youtu.be/D-xmvFY_i7UTabby Quarto extension https://quarto.thecoatlessprofessor.com/tabby/Plotting the Past: The 1854 Cholera Outbreak Visualized in R https://simplifyingstats.wordpress.com/2025/01/18/plotting-the-past-the-1854-cholera-outbreak-visualised-in-r/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixLost in a Nightmare - Castlevania: Symphony of the Night - Palpable - https://ocremix.org/remix/OCR03001Cammy's London Drizzle - Super Street Fighter II: The New Challengers - MkVaff - https://ocremix.org/remix/OCR00453

House Keeping Google / YouTube Update Join the Discord! Feedback Rust in the Linux Kernel. R Stuff What is R Again? Great presentation by John Chambers at UseR! 2006 https://www.r-project.org/conferences/useR-2006/Slides/Chambers.pdf The times have changed, now R is very much suited for production use and not just an academic research language Highly recommend reading Advanced R for more comprehensive details on the quirks of the language https://adv-r.hadley.nz/index.html R VS Python for Data? Different philosophies on the use of the language CRAN vs PyPi Interoperability becoming more mainstream now Visualization: R has always been leaps and bounds ahead (Grammar of Graphics, interactive widgets, etc) R Dev Stack? IDEs: RStudio, now Positron https://positron.posit.co/ Managing package installations with renv https://rstudio.github.io/renv/ Building web apps with Shiny: https://shiny.posit.co/ (I got so engrossed in this space that I created the Shiny Developer Series because of it) Early adopter of using Docker with R in devcontainers with VS-Code. New tech I'm excited about to enhance dev stacks and sharing apps WebAssembly with webR https://docs.r-wasm.org/webr/latest/ Shiny apps in webR? Yes you can https://github.com/RConsortium/submissions-pilot4-webR Managing dev environment combined with Nix: The rix package https://github.com/ropensci/rix (More organized links for show notes) R Language: https://r-project.org Posit (formerly RStudio): https://posit.co RStudio IDE https://posit.co/products/open-source/rstudio/ Positron (still in beta): https://positron.posit.co/ History of S and R presentation by John Chambers at useR! 2006: http://www.r-project.org/user-2006/Slides/Chambers.pdf Advanced R (2nd edition) by Hadley Wickham https://adv-r.hadley.nz/index.html Shiny - Easy interactive web applications with R: https://shiny.posit.co/ renv - Project environments for R: https://rstudio.github.io/renv/ R Markdown: https://rmarkdown.rstudio.com/ WebR - R in the browser: https://docs.r-wasm.org/webr/latest/ Rix - Reproducible Data Science environments for R with Nix: https://github.com/ropensci/rix Chromatic by ModRetro Chromatic: https://modretro.com/products/chromatic-tetris-bundle?variant=47637522579758 FPGA Mike's Review Eric's Thoughts Eric's Socials R Weekly Highlights: https://serve.podhome.fm/r-weekly-highlights Shiny Developer Series: https://shinydevseries.com/ R Podcast: https://r-podcast.org Bluesky: @rpodcast@bsky.social Mastodon: @rpodcast@podcastindex.social LinkedIn: https://www.linkedin.com/in/eric-nantz-6621617/ Coder's Socials Mike on X (https://x.com/dominucco) Mike on BlueSky (https://bsky.app/profile/dominucco.bsky.social) Coder on X (https://x.com/coderradioshow) Coder on BlueSky (https://bsky.app/profile/coderradio.bsky.social) Show Discord (https://discord.gg/k8e7gKUpEp) Alice (https://alice.dev)

In this episode, we are joined by Jake England of Millennium Machines. Brought to you by PCBWay (https://jle.vi/pcbway) and OctoEverywhere (https://octoeverywhere.com/welcome?id=podcast).Jake England is the mind behind Millennium Machines - an open-source CNC project pushing the boundaries of digital fabrication. Inspired by the success of projects like Voron and Positron, Millennium Machines is dedicated to making CNC technology more accessible, customizable, and community-driven.In this episode, we explore how Millennium Machines is redefining open-source CNC development, the challenges and rewards of running an open-source hardware project, upcoming machine releases, and why supporting open-source creators is crucial for the future of CNC and maker communities.

On this episode Doug speaks with Mitesh Agrawal the CEO of Positron.ai. Positron is advancing the world of AI hardware right here in the Biggest Little City, with their first product that provides 3X the performance of NVIDA at a lower cost. They discuss the changing landscape of AI, the importance of purpose built hardware and Positrons unique value. They discuss the Positron team, their investors and their success to date as well as dive in the future for them in our region.

  AI for enhancing theranosticsTelix - Simon Wail @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} We talked to Simon Wail from Telix about how AI may improve the use of PET scans in theranostics TAGS ANZSNM24,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,TELIX @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; 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font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; 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  AI for enhancing theranosticsTelix - Simon Wail @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; 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font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; 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  AI for enhancing theranosticsTelix - Simon Wail @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; 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font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; 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  AI for enhancing theranosticsTelix - Simon Wail @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} We talked to Simon Wail from Telix about how AI may improve the use of PET scans in theranostics TAGS ANZSNM24,PET,Podcast,Nuclear,Imaging,Therapy,NuclearMedicine,NIF,Physics,UNIMELB,MBCIU,Positron,NUCCAST,AI,TELIX @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; 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panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1040178053 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt; mso-ligatures:standardcontextual; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-GB; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;} Please let me know what you think about the video versions of the podcast.I am also looking for new material so please get in touch with me if you can contributewith an interview.Direct link to iTuneshttps://itunes.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicinie-podcast/id1444565219?mt=2Older podcastshttps://podcasts.apple.com/au/podcast/the-nuclear-medicine-and-molecular-medicine-podcast/id94286547You can get the podcast page at both http://nuccast.com and http://www.nuccast.com with the feed to put into iTunes or juice or your favourite podcast software can be found at http://molcast.com/.The cardiac subset of the podcast can be found at http://cardiac.nuccast.com/Please pass on information about this podcast to your colleagues and to your CPD provider.Link to Video Link to Video fileLink to Audio file Link to Audio fileOr you can subscribe by entering your email address below and you will be informed of new episodesEnter your email address:Delivered by FeedBurnerMost importantly of all please help this podcast by contributing your opinions, Sound files, and emailsnucmedpodcast@gmail.comAll contributions welcome, especially as sound files to nucmedpodcast@gmail.com.@font-face {font-family:"Cambria Math"; 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The future of R-Universe looks even brighter for 2025 and beyond, revisiting the key factors for possibly switching to the Positron IDE, and why there is more than meets the eyes when it comes to the potential of LLMs and AI (even in highly-regulated industries).Episode LinksThis week's curator: Eric Nantz - @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky), and @theRcast (X/Twitter)R-Universe Named R Consortium's Newest Top Level ProjectPositron vs RStudio - is it time to switch?Summer is Coming: AI for Shiny, R, and PharmaEntire issue available at rweekly.org/2024-W50Supplement ResourcesrOpenSci Blog Post https://ropensci.org/blog/2024/12/03/r-universe-r-consortium-tlp/Positron IDE - A new IDE for data science https://drmowinckels.io/blog/2024/positron/Fun with Positron https://www.andrewheiss.com/blog/2024/07/08/fun-with-positron/Open VSX Registry https://open-vsx.orgPower Mode Extension https://open-vsx.org/extension/hoovercj/vscode-power-modeJoe Cheng's slides from R/Pharma keybote https://jcheng5.github.io/pharma-ai-2024/#/title-slideR Consortium Submissions Pilot 2 Shiny Application https://github.com/RConsortium/submissions-pilot2Daniel Sebanes Bove & Joe Cheng - Discussion of R/Pharma Keynote https://youtu.be/AU1MmcXYnJ0?si=A3V9JHYdZLiz-lvvPractical Tips for Using Generative AI in Data Science Workflows https://youtu.be/rPeOdc8jTSE?si=APtIhpRqlh2I_Ek1Apple Music Wrapped in R https://www.andrewheiss.com/blog/2024/12/04/apple-music-wrapped-r/Predicting Best Picture at the 2025 Academy Awards https://www.markhw.com/blog/oscars2025Navidrome - Your Personal Streaming Service https://www.navidrome.org/Scrubbing your music with Maloja https://wenkdth.org/posts/maloja-scrobbling/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixThe Traveling Band's Last Song - Wild Arms: Armed and Dangerous - Artem Bank - https://ocremix.org/remix/OCR02588Secrets Abound - Final Fantasy - Midgarian Sky - https://ocremix.org/remix/OCR02452

Is it possible for a startup to compete with NVIDIA, the $1 trillion behemoth dominating AI hardware? Thomas Sohmers and his team at Positron are betting they can and they're moving at lightning speed to prove it. In this episode, Chris Saad sits down with Thomas Sohmers, founder and CEO of Positron, to explore how this ambitious startup is aiming to disrupt the AI chip market currently dominated by NVIDIA. In this episode, you will: Discover how Positron achieved working hardware in just 18 months, defying typical timelines for chip startups Learn about Positron's strategy for compatibility with existing AI frameworks like HuggingFace Understand the performance and efficiency advantages Positron claims over NVIDIA's offerings Explore how the team's deep industry experience from companies like Grok and F5 Networks gives them an edge Gain insights into Positron's innovative use of FPGAs for rapid iteration before moving to custom chips Hear about the company's funding journey and current Series A raise Uncover valuable lessons for founders on competing against industry giants Learn more about the startup Skyfire Website: https://www.positron.ai/  Follow Thomas Sohmers on Linkedin: https://www.linkedin.com/in/trsohmers/  The Pact Honour The Startup Podcast Pact! If you have listened to TSP and gotten value from it, please: Follow, rate, and review us in your listening app Subscribe to the TSP Mailing List at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thestartuppodcast.beehiiv.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Secure your official TSP merchandise at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://shop.tsp.show/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on YouTube at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@startup-podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Give us a public shout-out on LinkedIn or anywhere you have a social media following. Key links The Startup Podcast is sponsored by Vanta. Vanta helps businesses get and stay compliant by automating up to 90% of the work for the most in demand compliance frameworks. With over 200 integrations, you can easily monitor and secure the tools your business relies on. For a limited-time offer of US$1,000 off, go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.vanta.com/tsp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get your question in for our next Q&A episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/NZzgNWVLiFmwvFA2A⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Startup Podcast website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tsp.show⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about Chris and Yaniv Work 1:1 with Chris: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://chrissaad.com/advisory/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Chris on Linkedin: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/chrissaad/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Yaniv on Linkedin: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/ybernstein/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Credits Editor: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Justin McArthur⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Content Strategist: Carolina Franco https://www.linkedin.com/in/francocarolina/ Intro Voice: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeremiah Owyang⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Wes McKinney and I chat about Positron, Arrow, how he created Pandas and Arrow, and what makes him tick.

Prof. Mark Solms, a neuroscientist and psychoanalyst, discusses his groundbreaking work on consciousness, challenging conventional cortex-centric views and emphasizing the role of brainstem structures in generating consciousness and affect. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price hikes on search API access. Perfect for AI model training and retrieval augmentated generation. Try it now - get 2,000 free queries monthly at http://brave.com/api. Key points discussed: The limitations of vision-centric approaches to consciousness studies. Evidence from decorticated animals and hydranencephalic children supporting the brainstem's role in consciousness. The relationship between homeostasis, the free energy principle, and consciousness. Critiques of behaviorism and modern theories of consciousness. The importance of subjective experience in understanding brain function. The discussion also explored broader topics: The potential impact of affect-based theories on AI development. The role of the SEEKING system in exploration and learning. Connections between neuroscience, psychoanalysis, and philosophy of mind. Challenges in studying consciousness and the limitations of current theories. Mark Solms: https://neuroscience.uct.ac.za/contacts/mark-solms Show notes and transcript: https://www.dropbox.com/scl/fo/roipwmnlfmwk2e7kivzms/ACjZF-VIGC2-Suo30KcwVV0?rlkey=53y8v2cajfcgrf17p1h7v3suz&st=z8vu81hn&dl=0 TOC (*) are best bits 00:00:00 1. Intro: Challenging vision-centric approaches to consciousness * 00:02:20 2. Evidence from decorticated animals and hydranencephalic children * 00:07:40 3. Emotional responses in hydranencephalic children 00:10:40 4. Brainstem stimulation and affective states 00:15:00 5. Brainstem's role in generating affective consciousness * 00:21:50 6. Dual-aspect monism and the mind-brain relationship 00:29:37 7. Information, affect, and the hard problem of consciousness * 00:37:25 8. Wheeler's participatory universe and Chalmers' theories 00:48:51 9. Homeostasis, free energy principle, and consciousness * 00:59:25 10. Affect, voluntary behavior, and decision-making 01:05:45 11. Psychoactive substances, REM sleep, and consciousness research 01:12:14 12. Critiquing behaviorism and modern consciousness theories * 01:24:25 13. The SEEKING system and exploration in neuroscience Refs: 1. Mark Solms' book "The Hidden Spring" [00:20:34] (MUST READ!) https://amzn.to/3XyETb3 2. Karl Friston's free energy principle [00:03:50] https://www.nature.com/articles/nrn2787 3. Hydranencephaly condition [00:07:10] https://en.wikipedia.org/wiki/Hydranencephaly 4. Periaqueductal gray (PAG) [00:08:57] https://en.wikipedia.org/wiki/Periaqueductal_gray 5. Positron Emission Tomography (PET) [00:13:52] https://en.wikipedia.org/wiki/Positron_emission_tomography 6. Paul MacLean's triune brain theory [00:03:30] https://en.wikipedia.org/wiki/Triune_brain 7. Baruch Spinoza's philosophy of mind [00:23:48] https://plato.stanford.edu/entries/spinoza-epistemology-mind 8. Claude Shannon's "A Mathematical Theory of Communication" [00:32:15] https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf 9. Francis Crick's "The Astonishing Hypothesis" [00:39:57] https://en.wikipedia.org/wiki/The_Astonishing_Hypothesis 10. Frank Jackson's Knowledge Argument [00:40:54] https://plato.stanford.edu/entries/qualia-knowledge/ 11. Mesolimbic dopamine system [01:11:51] https://en.wikipedia.org/wiki/Mesolimbic_pathway 12. Jaak Panksepp's SEEKING system [01:25:23] https://en.wikipedia.org/wiki/Jaak_Panksepp#Affective_neuroscience

Join us as we explore the cutting-edge world of FPGAi and how it is helping innovators create new AI solutions!Featuring insights from Sandra Rivera, CEO of Altera, Thomas Sohmers, CEO of Positron.ai, Tom Catalino, Co-Founder and Vice President, of Critical Link and Dr. Rania Hussein, Associate Teaching Professor, University of Washinton, this event will showcase groundbreaking AI innovations, real-world success stories, and the future of intelligent silicon.Don't miss this chance to learn from the best in the field and discover how FPGAi is revolutionizing AI solutions!

This episode contains: Ben and Devon are eventually joined by Steven on this all new episode. Devon saw Inside Out 2 with his kids for Father's Day. Steven got some cool gifts then did nothing. Ben helped set up a booth at a Pride Festival and then he and his son played Star Trek: Elite Force II deathmatch. Steven and Ben discuss the pros and cons of the Apple Watch.   Great Balls of Fire: Pair plasmas found in deep space can now be generated in the lab. Researchers have experimentally generated high-density relativistic electron-positron pair-plasma beams by producing two to three orders of magnitude more pairs than previously reported. https://www.sciencedaily.com/releases/2024/06/240613161155.htm   Duh Duh Dun Dun Duh Duh, Deck Of Boards!: Ben discusses the "Deck of Boards" system, which allows you to easily create custom boards for playing abstract strategy games like chess, checkers, and Go. The system uses magnetic backing and washers to create flexible boards that can be set up quickly. The author has used the Deck of Boards to play a variety of games, including Adere, Othello, Qawale, Tintas, and ZERTZ. The key benefits are the ease of setup and the ability to experiment with different board layouts. https://www.ludism.org/ppwiki/ https://sites.google.com/view/singularitygames/modular-magnetic-boards?authuser=0#h.gxtnut7b1p9i https://www.looneylabs.com/games/pyramid-arcade https://www.youtube.com/watch?v=g90WbcBqsdI&ab_channel=BillMakingStuff https://play.abstractplay.com/   Movie Review: Devon and Steven discuss Godzilla Minus One. Devon had an interesting experiencing watching the movie with multiple interruptions over three nights. Is it a prequal, sequel, or reboot? https://en.wikipedia.org/wiki/Godzilla_Minus_One   Book Club: Stories in the Sand by Griffin McElroy. "There was not a Jawa on Tatooine who did not believe wholeheartedly that there was more sand below them than there was sky above." Ben did not do his homework. Steven and Ben liked the new perspective from the Star Wars universe. https://starwars.fandom.com/wiki/Stories_in_the_Sand Next week: These Alien Skies (Black Stars) by C.T. Rwizi. https://www.amazon.com/gp/product/B098QRGYHR?ref_=dbs_m_aos_rwt_calw_tkin_3&storeType=ebooks

Positron Corporation (OTC: POSC), a leading molecular imaging medical device company offering Positron Emission Tomography/Computed Tomography (PET and PET-CT) imaging systems and clinical services, is pleased to announce its membership in the national alliance Cardiac PET Industry Coalition, an organization at the forefront of quality of patient care, advocacy and innovation to advance the field of cardiovascular PET imaging. Forbes has published 2024 Forbes The Global 2000 ranking. Ping An Insurance (Group) Company of China , Ltd. (HKEX: 2318 / 82318; SSE: 601318) ranked 29th among global enterprises. It is number 2 among global insurance companies, number 6 among Chinese companies and number 1 among China's insurance companies. For more information, please visit StockDayMedia.com

Could the universe be composed of a single electron? Neil deGrasse Tyson and co-hosts Chuck Nice and Gary O'Reilly answer grab-bag questions about the multidimensionality of time, quantum chromodynamics, gluons, tachyons, and more with astrophysicist Charles Liu. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free.Thanks to our Patrons Jason Byttow, Keith Bale, Daniel Levin, Multimedia Kart, Renata, CESAR FRADIQUE, Ginger Towers, handzman, Lisa Kohler, and 21Pandas_ for supporting us this week.

Wie Antimaterie erstmals entdeckt wurde und warum sie bis heute eines der größten ungelösten Rätsel der Physik darstellt, berichtet Stefan Ulmer von der Universität Düsseldorf in dieser Folge.

This week we have the General Manager of @Positron3D on to discuss everything that went into this new ultra portable upside down 3d printer available now! The idea of The Positron 3D Printer is one that just makes you go "huh" seemingly designed to be hard mode for 3d printing, it actually can fold up and fit into a standard filament box! This allows it to not only pack up into a very small space to even fit in a carry on bag for an airplane, but makes it very easy to set up and tear down! Check it out here: https://positron3d.com/ Topics to Cover: Why upside down No, seriously, why upside down Where did the idea for this come from? Wait, the bed is heated and clear??? AND MORE!!! Looking for a stream to watch after we finish our stream, check out @SteveBuilds 's latest stream: https://www.youtube.com/watch?v=siSjzZ_E-Dg __________________________________ Do you have an idea you want to get off the ground? Reach out to the Making Awesome Podcast through https://3DMusketeers.com/podcast and someone will get you set up to be a guest!

Ghost Machine has arrived! The new comics imprint from Image Comics and an epic line up of comic creators launched in April, and ACP take a look at the exciting launch titles and discuss them and the bright future for this new universe. Friend of the show Zak Cahill (No Second Chance) joins the gang to chat about the books, his own work and together everyone has a lot of laughs and talk about lots of great comics you should be checking out! Great stuff to check out this week -  Zak Cahill, No Second Chance, Positron, Ghost Machine, Geoff Johns, Rook: Exodus, Jeff Fabok,  Geiger, Gary Frank, Redcoat, Bryan Hitch, Scism, Mark Abnett, Goran Parlov, The Green Archer, Kill the Bride, TBH Comics, Lawless Comic Con 2024, The Last Case of Devon and Taylor #1, Get Fury, Legion of Darkness, Source Point Press, Chrill, Ben Marra, What We Mean by Yesterday, Alex Toth

Our next 2 big events are AI UX and the World's Fair. Join and apply to speak/sponsor!Due to timing issues we didn't have an interview episode to share with you this week, but not to worry, we have more than enough “weekend special” content in the backlog for you to get your Latent Space fix, whether you like thinking about the big picture, or learning more about the pod behind the scenes, or talking Groq and GPUs, or AI Leadership, or Personal AI. Enjoy!AI BreakdownThe indefatigable NLW had us back on his show for an update on the Four Wars, covering Sora, Suno, and the reshaped GPT-4 Class Landscape:and a longer segment on AI Engineering trends covering the future LLM landscape (Llama 3, GPT-5, Gemini 2, Claude 4), Open Source Models (Mistral, Grok), Apple and Meta's AI strategy, new chips (Groq, MatX) and the general movement from baby AGIs to vertical Agents:Thursday Nights in AIWe're also including swyx's interview with Josh Albrecht and Ali Rohde to reintroduce swyx and Latent Space to a general audience, and engage in some spicy Q&A:Dylan Patel on GroqWe hosted a private event with Dylan Patel of SemiAnalysis (our last pod here):Not all of it could be released so we just talked about our Groq estimates:Milind Naphade - Capital OneIn relation to conversations at NeurIPS and Nvidia GTC and upcoming at World's Fair, we also enjoyed chatting with Milind Naphade about his AI Leadership work at IBM, Cisco, Nvidia, and now leading the AI Foundations org at Capital One. We covered:* Milind's learnings from ~25 years in machine learning * His first paper citation was 24 years ago* Lessons from working with Jensen Huang for 6 years and being CTO of Metropolis * Thoughts on relevant AI research* GTC takeaways and what makes NVIDIA specialIf you'd like to work on building solutions rather than platform (as Milind put it), his Applied AI Research team at Capital One is hiring, which falls under the Capital One Tech team.Personal AI MeetupIt all started with a meme:Within days of each other, BEE, FRIEND, EmilyAI, Compass, Nox and LangFriend were all launching personal AI wearables and assistants. So we decided to put together a the world's first Personal AI meetup featuring creators and enthusiasts of wearables. The full video is live now, with full show notes within.Timestamps* [00:01:13] AI Breakdown Part 1* [00:02:20] Four Wars* [00:13:45] Sora* [00:15:12] Suno* [00:16:34] The GPT-4 Class Landscape* [00:17:03] Data War: Reddit x Google* [00:21:53] Gemini 1.5 vs Claude 3* [00:26:58] AI Breakdown Part 2* [00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4* [00:31:11] Open Source Models - Mistral, Grok* [00:34:13] Apple MM1* [00:37:33] Meta's $800b AI rebrand* [00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents* [00:47:28] Adept episode - Screen Multimodality* [00:48:54] Top Model Research from January Recap* [00:53:08] AI Wearables* [00:57:26] Groq vs Nvidia month - GPU Chip War* [01:00:31] Disagreements* [01:02:08] Summer 2024 Predictions* [01:04:18] Thursday Nights in AI - swyx* [01:33:34] Dylan Patel - Semianalysis + Latent Space Live Show* [01:34:58] GroqTranscript[00:00:00] swyx: Welcome to the Latent Space Podcast Weekend Edition. This is Charlie, your AI co host. Swyx and Alessio are off for the week, making more great content. We have exciting interviews coming up with Elicit, Chroma, Instructor, and our upcoming series on NSFW, Not Safe for Work AI. In today's episode, we're collating some of Swyx and Alessio's recent appearances, all in one place for you to find.[00:00:32] swyx: In part one, we have our first crossover pod of the year. In our listener survey, several folks asked for more thoughts from our two hosts. In 2023, Swyx and Alessio did crossover interviews with other great podcasts like the AI Breakdown, Practical AI, Cognitive Revolution, Thursday Eye, and Chinatalk, all of which you can find in the Latentspace About page.[00:00:56] swyx: NLW of the AI Breakdown asked us back to do a special on the 4Wars framework and the AI engineer scene. We love AI Breakdown as one of the best examples Daily podcasts to keep up on AI news, so we were especially excited to be back on Watch out and take[00:01:12] NLW: care[00:01:13] AI Breakdown Part 1[00:01:13] NLW: today on the AI breakdown. Part one of my conversation with Alessio and Swix from Latent Space.[00:01:19] NLW: All right, fellas, welcome back to the AI Breakdown. How are you doing? I'm good. Very good. With the last, the last time we did this show, we were like, oh yeah, let's do check ins like monthly about all the things that are going on and then. Of course, six months later, and, you know, the, the, the world has changed in a thousand ways.[00:01:36] NLW: It's just, it's too busy to even, to even think about podcasting sometimes. But I, I'm super excited to, to be chatting with you again. I think there's, there's a lot to, to catch up on, just to tap in, I think in the, you know, in the beginning of 2024. And, and so, you know, we're gonna talk today about just kind of a, a, a broad sense of where things are in some of the key battles in the AI space.[00:01:55] NLW: And then the, you know, one of the big things that I, that I'm really excited to have you guys on here for us to talk about where, sort of what patterns you're seeing and what people are actually trying to build, you know, where, where developers are spending their, their time and energy and, and, and any sort of, you know, trend trends there, but maybe let's start I guess by checking in on a framework that you guys actually introduced, which I've loved and I've cribbed a couple of times now, which is this sort of four wars of the, of the AI stack.[00:02:20] Four Wars[00:02:20] NLW: Because first, since I have you here, I'd love, I'd love to hear sort of like where that started gelling. And then and then maybe we can get into, I think a couple of them that are you know, particularly interesting, you know, in the, in light of[00:02:30] swyx: some recent news. Yeah, so maybe I'll take this one. So the four wars is a framework that I came up around trying to recap all of 2023.[00:02:38] swyx: I tried to write sort of monthly recap pieces. And I was trying to figure out like what makes one piece of news last longer than another or more significant than another. And I think it's basically always around battlegrounds. Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.[00:03:01] swyx: And so I kind of focus on those, those areas at first. So the four wars that we cover are the data wars, the GPU rich, poor war, the multi modal war, And the RAG and Ops War. And I think you actually did a dedicated episode to that, so thanks for covering that. Yeah, yeah.[00:03:18] NLW: Not only did I do a dedicated episode, I actually used that.[00:03:22] NLW: I can't remember if I told you guys. I did give you big shoutouts. But I used it as a framework for a presentation at Intel's big AI event that they hold each year, where they have all their folks who are working on AI internally. And it totally resonated. That's amazing. Yeah, so, so, what got me thinking about it again is specifically this inflection news that we recently had, this sort of, you know, basically, I can't imagine that anyone who's listening wouldn't have thought about it, but, you know, inflection is a one of the big contenders, right?[00:03:53] NLW: I think probably most folks would have put them, you know, just a half step behind the anthropics and open AIs of the world in terms of labs, but it's a company that raised 1. 3 billion last year, less than a year ago. Reed Hoffman's a co founder Mustafa Suleyman, who's a co founder of DeepMind, you know, so it's like, this is not a a small startup, let's say, at least in terms of perception.[00:04:13] NLW: And then we get the news that basically most of the team, it appears, is heading over to Microsoft and they're bringing in a new CEO. And you know, I'm interested in, in, in kind of your take on how much that reflects, like hold aside, I guess, you know, all the other things that it might be about, how much it reflects this sort of the, the stark.[00:04:32] NLW: Brutal reality of competing in the frontier model space right now. And, you know, just the access to compute.[00:04:38] Alessio: There are a lot of things to say. So first of all, there's always somebody who's more GPU rich than you. So inflection is GPU rich by startup standard. I think about 22, 000 H100s, but obviously that pales compared to the, to Microsoft.[00:04:55] Alessio: The other thing is that this is probably good news, maybe for the startups. It's like being GPU rich, it's not enough. You know, like I think they were building something pretty interesting in, in pi of their own model of their own kind of experience. But at the end of the day, you're the interface that people consume as end users.[00:05:13] Alessio: It's really similar to a lot of the others. So and we'll tell, talk about GPT four and cloud tree and all this stuff. GPU poor, doing something. That the GPU rich are not interested in, you know we just had our AI center of excellence at Decibel and one of the AI leads at one of the big companies was like, Oh, we just saved 10 million and we use these models to do a translation, you know, and that's it.[00:05:39] Alessio: It's not, it's not a GI, it's just translation. So I think like the inflection part is maybe. A calling and a waking to a lot of startups then say, Hey, you know, trying to get as much capital as possible, try and get as many GPUs as possible. Good. But at the end of the day, it doesn't build a business, you know, and maybe what inflection I don't, I don't, again, I don't know the reasons behind the inflection choice, but if you say, I don't want to build my own company that has 1.[00:06:05] Alessio: 3 billion and I want to go do it at Microsoft, it's probably not a resources problem. It's more of strategic decisions that you're making as a company. So yeah, that was kind of my. I take on it.[00:06:15] swyx: Yeah, and I guess on my end, two things actually happened yesterday. It was a little bit quieter news, but Stability AI had some pretty major departures as well.[00:06:25] swyx: And you may not be considering it, but Stability is actually also a GPU rich company in the sense that they were the first new startup in this AI wave to brag about how many GPUs that they have. And you should join them. And you know, Imadis is definitely a GPU trader in some sense from his hedge fund days.[00:06:43] swyx: So Robin Rhombach and like the most of the Stable Diffusion 3 people left Stability yesterday as well. So yesterday was kind of like a big news day for the GPU rich companies, both Inflection and Stability having sort of wind taken out of their sails. I think, yes, it's a data point in the favor of Like, just because you have the GPUs doesn't mean you can, you automatically win.[00:07:03] swyx: And I think, you know, kind of I'll echo what Alessio says there. But in general also, like, I wonder if this is like the start of a major consolidation wave, just in terms of, you know, I think that there was a lot of funding last year and, you know, the business models have not been, you know, All of these things worked out very well.[00:07:19] swyx: Even inflection couldn't do it. And so I think maybe that's the start of a small consolidation wave. I don't think that's like a sign of AI winter. I keep looking for AI winter coming. I think this is kind of like a brief cold front. Yeah,[00:07:34] NLW: it's super interesting. So I think a bunch of A bunch of stuff here.[00:07:38] NLW: One is, I think, to both of your points, there, in some ways, there, there had already been this very clear demarcation between these two sides where, like, the GPU pores, to use the terminology, like, just weren't trying to compete on the same level, right? You know, the vast majority of people who have started something over the last year, year and a half, call it, were racing in a different direction.[00:07:59] NLW: They're trying to find some edge somewhere else. They're trying to build something different. If they're, if they're really trying to innovate, it's in different areas. And so it's really just this very small handful of companies that are in this like very, you know, it's like the coheres and jaspers of the world that like this sort of, you know, that are that are just sort of a little bit less resourced than, you know, than the other set that I think that this potentially even applies to, you know, everyone else that could clearly demarcate it into these two, two sides.[00:08:26] NLW: And there's only a small handful kind of sitting uncomfortably in the middle, perhaps. Let's, let's come back to the idea of, of the sort of AI winter or, you know, a cold front or anything like that. So this is something that I, I spent a lot of time kind of thinking about and noticing. And my perception is that The vast majority of the folks who are trying to call for sort of, you know, a trough of disillusionment or, you know, a shifting of the phase to that are people who either, A, just don't like AI for some other reason there's plenty of that, you know, people who are saying, You Look, they're doing way worse than they ever thought.[00:09:03] NLW: You know, there's a lot of sort of confirmation bias kind of thing going on. Or two, media that just needs a different narrative, right? Because they're sort of sick of, you know, telling the same story. Same thing happened last summer, when every every outlet jumped on the chat GPT at its first down month story to try to really like kind of hammer this idea that that the hype was too much.[00:09:24] NLW: Meanwhile, you have, you know, just ridiculous levels of investment from enterprises, you know, coming in. You have, you know, huge, huge volumes of, you know, individual behavior change happening. But I do think that there's nothing incoherent sort of to your point, Swyx, about that and the consolidation period.[00:09:42] NLW: Like, you know, if you look right now, for example, there are, I don't know, probably 25 or 30 credible, like, build your own chatbot. platforms that, you know, a lot of which have, you know, raised funding. There's no universe in which all of those are successful across, you know, even with a, even, even with a total addressable market of every enterprise in the world, you know, you're just inevitably going to see some amount of consolidation.[00:10:08] NLW: Same with, you know, image generators. There are, if you look at A16Z's top 50 consumer AI apps, just based on, you know, web traffic or whatever, they're still like I don't know, a half. Dozen or 10 or something, like, some ridiculous number of like, basically things like Midjourney or Dolly three. And it just seems impossible that we're gonna have that many, you know, ultimately as, as, as sort of, you know, going, going concerned.[00:10:33] NLW: So, I don't know. I, I, I think that the, there will be inevitable consolidation 'cause you know. It's, it's also what kind of like venture rounds are supposed to do. You're not, not everyone who gets a seed round is supposed to get to series A and not everyone who gets a series A is supposed to get to series B.[00:10:46] NLW: That's sort of the natural process. I think it will be tempting for a lot of people to try to infer from that something about AI not being as sort of big or as as sort of relevant as, as it was hyped up to be. But I, I kind of think that's the wrong conclusion to come to.[00:11:02] Alessio: I I would say the experimentation.[00:11:04] Alessio: Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff. If you fast forward today, A lot of people use Cursor everybody was excited about the Devin release on Twitter.[00:11:26] Alessio: There are a lot of different ways of attacking the market that are not completion of code in the IDE. And even Cursors, like they evolved beyond single line to like chat, to do multi line edits and, and all that stuff. Image generation, I would say, yeah, as a, just as from what I've seen, like maybe the product innovation has slowed down at the UX level and people are improving the models.[00:11:50] Alessio: So the race is like, how do I make better images? It's not like, how do I make the user interact with the generation process better? And that gets tough, you know? It's hard to like really differentiate yourselves. So yeah, that's kind of how I look at it. And when we think about multimodality, maybe the reason why people got so excited about Sora is like, oh, this is like a completely It's not a better image model.[00:12:13] Alessio: This is like a completely different thing, you know? And I think the creative mind It's always looking for something that impacts the viewer in a different way, you know, like they really want something different versus the developer mind. It's like, Oh, I, I just, I have this like very annoying thing I want better.[00:12:32] Alessio: I have this like very specific use cases that I want to go after. So it's just different. And that's why you see a lot more companies in image generation. But I agree with you that. If you fast forward there, there's not going to be 10 of them, you know, it's probably going to be one or[00:12:46] swyx: two. Yeah, I mean, to me, that's why I call it a war.[00:12:49] swyx: Like, individually, all these companies can make a story that kind of makes sense, but collectively, they cannot all be true. Therefore, they all, there is some kind of fight over limited resources here. Yeah, so[00:12:59] NLW: it's interesting. We wandered very naturally into sort of another one of these wars, which is the multimodality kind of idea, which is, you know, basically a question of whether it's going to be these sort of big everything models that end up winning or whether, you know, you're going to have really specific things, you know, like something, you know, Dolly 3 inside of sort of OpenAI's larger models versus, you know, a mid journey or something like that.[00:13:24] NLW: And at first, you know, I was kind of thinking like, For most of the last, call it six months or whatever, it feels pretty definitively both and in some ways, you know, and that you're, you're seeing just like great innovation on sort of the everything models, but you're also seeing lots and lots happen at sort of the level of kind of individual use cases.[00:13:45] Sora[00:13:45] NLW: But then Sora comes along and just like obliterates what I think anyone thought you know, where we were when it comes to video generation. So how are you guys thinking about this particular battle or war at the moment?[00:13:59] swyx: Yeah, this was definitely a both and story, and Sora tipped things one way for me, in terms of scale being all you need.[00:14:08] swyx: And the benefit, I think, of having multiple models being developed under one roof. I think a lot of people aren't aware that Sora was developed in a similar fashion to Dolly 3. And Dolly3 had a very interesting paper out where they talked about how they sort of bootstrapped their synthetic data based on GPT 4 vision and GPT 4.[00:14:31] swyx: And, and it was just all, like, really interesting, like, if you work on one modality, it enables you to work on other modalities, and all that is more, is, is more interesting. I think it's beneficial if it's all in the same house, whereas the individual startups who don't, who sort of carve out a single modality and work on that, definitely won't have the state of the art stuff on helping them out on synthetic data.[00:14:52] swyx: So I do think like, The balance is tilted a little bit towards the God model companies, which is challenging for the, for the, for the the sort of dedicated modality companies. But everyone's carving out different niches. You know, like we just interviewed Suno ai, the sort of music model company, and, you know, I don't see opening AI pursuing music anytime soon.[00:15:12] Suno[00:15:12] swyx: Yeah,[00:15:13] NLW: Suno's been phenomenal to play with. Suno has done that rare thing where, which I think a number of different AI product categories have done, where people who don't consider themselves particularly interested in doing the thing that the AI enables find themselves doing a lot more of that thing, right?[00:15:29] NLW: Like, it'd be one thing if Just musicians were excited about Suno and using it but what you're seeing is tons of people who just like music all of a sudden like playing around with it and finding themselves kind of down that rabbit hole, which I think is kind of like the highest compliment that you can give one of these startups at the[00:15:45] swyx: early days of it.[00:15:46] swyx: Yeah, I, you know, I, I asked them directly, you know, in the interview about whether they consider themselves mid journey for music. And he had a more sort of nuanced response there, but I think that probably the business model is going to be very similar because he's focused on the B2C element of that. So yeah, I mean, you know, just to, just to tie back to the question about, you know, You know, large multi modality companies versus small dedicated modality companies.[00:16:10] swyx: Yeah, highly recommend people to read the Sora blog posts and then read through to the Dali blog posts because they, they strongly correlated themselves with the same synthetic data bootstrapping methods as Dali. And I think once you make those connections, you're like, oh, like it, it, it is beneficial to have multiple state of the art models in house that all help each other.[00:16:28] swyx: And these, this, that's the one thing that a dedicated modality company cannot do.[00:16:34] The GPT-4 Class Landscape[00:16:34] NLW: So I, I wanna jump, I wanna kind of build off that and, and move into the sort of like updated GPT-4 class landscape. 'cause that's obviously been another big change over the last couple months. But for the sake of completeness, is there anything that's worth touching on with with sort of the quality?[00:16:46] NLW: Quality data or sort of a rag ops wars just in terms of, you know, anything that's changed, I guess, for you fundamentally in the last couple of months about where those things stand.[00:16:55] swyx: So I think we're going to talk about rag for the Gemini and Clouds discussion later. And so maybe briefly discuss the data piece.[00:17:03] Data War: Reddit x Google[00:17:03] swyx: I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company. Also, very, very interestingly, a non exclusive deal, meaning that Reddit can resell that data to someone else. And it probably does become table stakes.[00:17:23] swyx: A lot of people don't know, but a lot of the web text dataset that originally started for GPT 1, 2, and 3 was actually scraped from GitHub. from Reddit at least the sort of vote scores. And I think, I think that's a, that's a very valuable piece of information. So like, yeah, I think people are figuring out how to pay for data.[00:17:40] swyx: People are suing each other over data. This, this, this war is, you know, definitely very, very much heating up. And I don't think, I don't see it getting any less intense. I, you know, next to GPUs, data is going to be the most expensive thing in, in a model stack company. And. You know, a lot of people are resorting to synthetic versions of it, which may or may not be kosher based on how far along or how commercially blessed the, the forms of creating that synthetic data are.[00:18:11] swyx: I don't know if Alessio, you have any other interactions with like Data source companies, but that's my two cents.[00:18:17] Alessio: Yeah yeah, I actually saw Quentin Anthony from Luther. ai at GTC this week. He's also been working on this. I saw Technium. He's also been working on the data side. I think especially in open source, people are like, okay, if everybody is putting the gates up, so to speak, to the data we need to make it easier for people that don't have 50 million a year to get access to good data sets.[00:18:38] Alessio: And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now? Let me, let me put a pay here stripe link so that they can give me 50 million.[00:18:57] Alessio: But it worked for Reddit. I think the stock is up. 40 percent today after opening. So yeah, I don't know if it's all about the Google deal, but it's obviously Reddit has been one of those companies where, hey, you got all this like great community, but like, how are you going to make money? And like, they try to sell the avatars.[00:19:15] Alessio: I don't know if that it's a great business for them. The, the data part sounds as an investor, you know, the data part sounds a lot more interesting than, than consumer[00:19:25] swyx: cosmetics. Yeah, so I think, you know there's more questions around data you know, I think a lot of people are talking about the interview that Mira Murady did with the Wall Street Journal, where she, like, just basically had no, had no good answer for where they got the data for Sora.[00:19:39] swyx: I, I think this is where, you know, there's, it's in nobody's interest to be transparent about data, and it's, it's kind of sad for the state of ML and the state of AI research but it is what it is. We, we have to figure this out as a society, just like we did for music and music sharing. You know, in, in sort of the Napster to Spotify transition, and that might take us a decade.[00:19:59] swyx: Yeah, I[00:20:00] NLW: do. I, I agree. I think, I think that you're right to identify it, not just as that sort of technical problem, but as one where society has to have a debate with itself. Because I think that there's, if you rationally within it, there's Great kind of points on all side, not to be the sort of, you know, person who sits in the middle constantly, but it's why I think a lot of these legal decisions are going to be really important because, you know, the job of judges is to listen to all this stuff and try to come to things and then have other judges disagree.[00:20:24] NLW: And, you know, and have the rest of us all debate at the same time. By the way, as a total aside, I feel like the synthetic data right now is like eggs in the 80s and 90s. Like, whether they're good for you or bad for you, like, you know, we, we get one study that's like synthetic data, you know, there's model collapse.[00:20:42] NLW: And then we have like a hint that llama, you know, to the most high performance version of it, which was one they didn't release was trained on synthetic data. So maybe it's good. It's like, I just feel like every, every other week I'm seeing something sort of different about whether it's a good or bad for, for these models.[00:20:56] swyx: Yeah. The branding of this is pretty poor. I would kind of tell people to think about it like cholesterol. There's good cholesterol, bad cholesterol. And you can have, you know, good amounts of both. But at this point, it is absolutely without a doubt that most large models from here on out will all be trained as some kind of synthetic data and that is not a bad thing.[00:21:16] swyx: There are ways in which you can do it poorly. Whether it's commercial, you know, in terms of commercial sourcing or in terms of the model performance. But it's without a doubt that good synthetic data is going to help your model. And this is just a question of like where to obtain it and what kinds of synthetic data are valuable.[00:21:36] swyx: You know, if even like alpha geometry, you know, was, was a really good example from like earlier this year.[00:21:42] NLW: If you're using the cholesterol analogy, then my, then my egg thing can't be that far off. Let's talk about the sort of the state of the art and the, and the GPT 4 class landscape and how that's changed.[00:21:53] Gemini 1.5 vs Claude 3[00:21:53] NLW: Cause obviously, you know, sort of the, the two big things or a couple of the big things that have happened. Since we last talked, we're one, you know, Gemini first announcing that a model was coming and then finally it arriving, and then very soon after a sort of a different model arriving from Gemini and and Cloud three.[00:22:11] NLW: So I guess, you know, I'm not sure exactly where the right place to start with this conversation is, but, you know, maybe very broadly speaking which of these do you think have made a bigger impact? Thank you.[00:22:20] Alessio: Probably the one you can use, right? So, Cloud. Well, I'm sure Gemini is going to be great once they let me in, but so far I haven't been able to.[00:22:29] Alessio: I use, so I have this small podcaster thing that I built for our podcast, which does chapters creation, like named entity recognition, summarization, and all of that. Cloud Tree is, Better than GPT 4. Cloud2 was unusable. So I use GPT 4 for everything. And then when Opus came out, I tried them again side by side and I posted it on, on Twitter as well.[00:22:53] Alessio: Cloud is better. It's very good, you know, it's much better, it seems to me, it's much better than GPT 4 at doing writing that is more, you know, I don't know, it just got good vibes, you know, like the GPT 4 text, you can tell it's like GPT 4, you know, it's like, it always uses certain types of words and phrases and, you know, maybe it's just me because I've now done it for, you know, So, I've read like 75, 80 generations of these things next to each other.[00:23:21] Alessio: Clutter is really good. I know everybody is freaking out on twitter about it, my only experience of this is much better has been on the podcast use case. But I know that, you know, Quran from from News Research is a very big opus pro, pro opus person. So, I think that's also It's great to have people that actually care about other models.[00:23:40] Alessio: You know, I think so far to a lot of people, maybe Entropic has been the sibling in the corner, you know, it's like Cloud releases a new model and then OpenAI releases Sora and like, you know, there are like all these different things, but yeah, the new models are good. It's interesting.[00:23:55] NLW: My my perception is definitely that just, just observationally, Cloud 3 is certainly the first thing that I've seen where lots of people.[00:24:06] NLW: They're, no one's debating evals or anything like that. They're talking about the specific use cases that they have, that they used to use chat GPT for every day, you know, day in, day out, that they've now just switched over. And that has, I think, shifted a lot of the sort of like vibe and sentiment in the space too.[00:24:26] NLW: And I don't necessarily think that it's sort of a A like full you know, sort of full knock. Let's put it this way. I think it's less bad for open AI than it is good for anthropic. I think that because GPT 5 isn't there, people are not quite willing to sort of like, you know get overly critical of, of open AI, except in so far as they're wondering where GPT 5 is.[00:24:46] NLW: But I do think that it makes, Anthropic look way more credible as a, as a, as a player, as a, you know, as a credible sort of player, you know, as opposed to to, to where they were.[00:24:57] Alessio: Yeah. And I would say the benchmarks veil is probably getting lifted this year. I think last year. People were like, okay, this is better than this on this benchmark, blah, blah, blah, because maybe they did not have a lot of use cases that they did frequently.[00:25:11] Alessio: So it's hard to like compare yourself. So you, you defer to the benchmarks. I think now as we go into 2024, a lot of people have started to use these models from, you know, from very sophisticated things that they run in production to some utility that they have on their own. Now they can just run them side by side.[00:25:29] Alessio: And it's like, Hey, I don't care that like. The MMLU score of Opus is like slightly lower than GPT 4. It just works for me, you know, and I think that's the same way that traditional software has been used by people, right? Like you just strive for yourself and like, which one does it work, works best for you?[00:25:48] Alessio: Like nobody looks at benchmarks outside of like sales white papers, you know? And I think it's great that we're going more in that direction. We have a episode with Adapt coming out this weekend. I'll and some of their model releases, they specifically say, We do not care about benchmarks, so we didn't put them in, you know, because we, we don't want to look good on them.[00:26:06] Alessio: We just want the product to work. And I think more and more people will, will[00:26:09] swyx: go that way. Yeah. I I would say like, it does take the wind out of the sails for GPT 5, which I know where, you know, Curious about later on. I think anytime you put out a new state of the art model, you have to break through in some way.[00:26:21] swyx: And what Claude and Gemini have done is effectively take away any advantage to saying that you have a million token context window. Now everyone's just going to be like, Oh, okay. Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop[00:26:58] AI Breakdown Part 2[00:26:58] NLW: hello friends back again with part two if you haven't heard part one of this conversation i suggest you go check it out but to be honest they are kind of actually separable In this conversation, we get into a topic that I think Alessio and Swyx are very well positioned to discuss, which is what developers care about right now, what people are trying to build around.[00:27:16] NLW: I honestly think that one of the best ways to see the future in an industry like AI is to try to dig deep on what developers and entrepreneurs are attracted to build, even if it hasn't made it to the news pages yet. So consider this your preview of six months from now, and let's dive in. Let's bring it to the GPT 5 conversation.[00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4[00:27:33] NLW: I mean, so, so I think that that's a great sort of assessment of just how the stakes have been raised, you know is your, I mean, so I guess maybe, maybe I'll, I'll frame this less as a question, just sort of something that, that I, that I've been watching right now, the only thing that makes sense to me with how.[00:27:50] NLW: Fundamentally unbothered and unstressed OpenAI seems about everything is that they're sitting on something that does meet all that criteria, right? Because, I mean, even in the Lex Friedman interview that, that Altman recently did, you know, he's talking about other things coming out first. He's talking about, he's just like, he, listen, he, he's good and he could play nonchalant, you know, if he wanted to.[00:28:13] NLW: So I don't want to read too much into it, but. You know, they've had so long to work on this, like unless that we are like really meaningfully running up against some constraint, it just feels like, you know, there's going to be some massive increase, but I don't know. What do you guys think?[00:28:28] swyx: Hard to speculate.[00:28:29] swyx: You know, at this point, they're, they're pretty good at PR and they're not going to tell you anything that they don't want to. And he can tell you one thing and change their minds the next day. So it's, it's, it's really, you know, I've always said that model version numbers are just marketing exercises, like they have something and it's always improving and at some point you just cut it and decide to call it GPT 5.[00:28:50] swyx: And it's more just about defining an arbitrary level at which they're ready and it's up to them on what ready means. We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it. So it seems like there might be an intermediate release. But I did feel, coming out of the Lex Friedman interview, that GPT 5 was nowhere near.[00:29:11] swyx: And you know, it was kind of a sharp contrast to Sam talking at Davos in February, saying that, you know, it was his top priority. So I find it hard to square. And honestly, like, there's also no point Reading too much tea leaves into what any one person says about something that hasn't happened yet or has a decision that hasn't been taken yet.[00:29:31] swyx: Yeah, that's, that's my 2 cents about it. Like, calm down, let's just build .[00:29:35] Alessio: Yeah. The, the February rumor was that they were gonna work on AI agents, so I don't know, maybe they're like, yeah,[00:29:41] swyx: they had two agent two, I think two agent projects, right? One desktop agent and one sort of more general yeah, sort of GPTs like agent and then Andre left, so he was supposed to be the guy on that.[00:29:52] swyx: What did Andre see? What did he see? I don't know. What did he see?[00:29:56] Alessio: I don't know. But again, it's just like the rumors are always floating around, you know but I think like, this is, you know, we're not going to get to the end of the year without Jupyter you know, that's definitely happening. I think the biggest question is like, are Anthropic and Google.[00:30:13] Alessio: Increasing the pace, you know, like it's the, it's the cloud four coming out like in 12 months, like nine months. What's the, what's the deal? Same with Gemini. They went from like one to 1. 5 in like five days or something. So when's Gemini 2 coming out, you know, is that going to be soon? I don't know.[00:30:31] Alessio: There, there are a lot of, speculations, but the good thing is that now you can see a world in which OpenAI doesn't rule everything. You know, so that, that's the best, that's the best news that everybody got, I would say.[00:30:43] swyx: Yeah, and Mistral Large also dropped in the last month. And, you know, not as, not quite GPT 4 class, but very good from a new startup.[00:30:52] swyx: So yeah, we, we have now slowly changed in landscape, you know. In my January recap, I was complaining that nothing's changed in the landscape for a long time. But now we do exist in a world, sort of a multipolar world where Cloud and Gemini are legitimate challengers to GPT 4 and hopefully more will emerge as well hopefully from meta.[00:31:11] Open Source Models - Mistral, Grok[00:31:11] NLW: So speak, let's actually talk about sort of the open source side of this for a minute. So Mistral Large, notable because it's, it's not available open source in the same way that other things are, although I think my perception is that the community has largely given them Like the community largely recognizes that they want them to keep building open source stuff and they have to find some way to fund themselves that they're going to do that.[00:31:27] NLW: And so they kind of understand that there's like, they got to figure out how to eat, but we've got, so, you know, there there's Mistral, there's, I guess, Grok now, which is, you know, Grok one is from, from October is, is open[00:31:38] swyx: sourced at, yeah. Yeah, sorry, I thought you thought you meant Grok the chip company.[00:31:41] swyx: No, no, no, yeah, you mean Twitter Grok.[00:31:43] NLW: Although Grok the chip company, I think is even more interesting in some ways, but and then there's the, you know, obviously Llama3 is the one that sort of everyone's wondering about too. And, you know, my, my sense of that, the little bit that, you know, Zuckerberg was talking about Llama 3 earlier this year, suggested that, at least from an ambition standpoint, he was not thinking about how do I make sure that, you know, meta content, you know, keeps, keeps the open source thrown, you know, vis a vis Mistral.[00:32:09] NLW: He was thinking about how you go after, you know, how, how he, you know, releases a thing that's, you know, every bit as good as whatever OpenAI is on at that point.[00:32:16] Alessio: Yeah. From what I heard in the hallways at, at GDC, Llama 3, the, the biggest model will be, you 260 to 300 billion parameters, so that that's quite large.[00:32:26] Alessio: That's not an open source model. You know, you cannot give people a 300 billion parameters model and ask them to run it. You know, it's very compute intensive. So I think it is, it[00:32:35] swyx: can be open source. It's just, it's going to be difficult to run, but that's a separate question.[00:32:39] Alessio: It's more like, as you think about what they're doing it for, you know, it's not like empowering the person running.[00:32:45] Alessio: llama. On, on their laptop, it's like, oh, you can actually now use this to go after open AI, to go after Anthropic, to go after some of these companies at like the middle complexity level, so to speak. Yeah. So obviously, you know, we estimate Gentala on the podcast, they're doing a lot here, they're making PyTorch better.[00:33:03] Alessio: You know, they want to, that's kind of like maybe a little bit of a shorted. Adam Bedia, in a way, trying to get some of the CUDA dominance out of it. Yeah, no, it's great. The, I love the duck destroying a lot of monopolies arc. You know, it's, it's been very entertaining. Let's bridge[00:33:18] NLW: into the sort of big tech side of this, because this is obviously like, so I think actually when I did my episode, this was one of the I added this as one of as an additional war that, that's something that I'm paying attention to.[00:33:29] NLW: So we've got Microsoft's moves with inflection, which I think pretend, potentially are being read as A shift vis a vis the relationship with OpenAI, which also the sort of Mistral large relationship seems to reinforce as well. We have Apple potentially entering the race, finally, you know, giving up Project Titan and and, and kind of trying to spend more effort on this.[00:33:50] NLW: Although, Counterpoint, we also have them talking about it, or there being reports of a deal with Google, which, you know, is interesting to sort of see what their strategy there is. And then, you know, Meta's been largely quiet. We kind of just talked about the main piece, but, you know, there's, and then there's spoilers like Elon.[00:34:07] NLW: I mean, you know, what, what of those things has sort of been most interesting to you guys as you think about what's going to shake out for the rest of this[00:34:13] Apple MM1[00:34:13] swyx: year? I'll take a crack. So the reason we don't have a fifth war for the Big Tech Wars is that's one of those things where I just feel like we don't cover differently from other media channels, I guess.[00:34:26] swyx: Sure, yeah. In our anti interestness, we actually say, like, we try not to cover the Big Tech Game of Thrones, or it's proxied through Twitter. You know, all the other four wars anyway, so there's just a lot of overlap. Yeah, I think absolutely, personally, the most interesting one is Apple entering the race.[00:34:41] swyx: They actually released, they announced their first large language model that they trained themselves. It's like a 30 billion multimodal model. People weren't that impressed, but it was like the first time that Apple has kind of showcased that, yeah, we're training large models in house as well. Of course, like, they might be doing this deal with Google.[00:34:57] swyx: I don't know. It sounds very sort of rumor y to me. And it's probably, if it's on device, it's going to be a smaller model. So something like a Jemma. It's going to be smarter autocomplete. I don't know what to say. I'm still here dealing with, like, Siri, which hasn't, probably hasn't been updated since God knows when it was introduced.[00:35:16] swyx: It's horrible. I, you know, it, it, it makes me so angry. So I, I, one, as an Apple customer and user, I, I'm just hoping for better AI on Apple itself. But two, they are the gold standard when it comes to local devices, personal compute and, and trust, like you, you trust them with your data. And. I think that's what a lot of people are looking for in AI, that they have, they love the benefits of AI, they don't love the downsides, which is that you have to send all your data to some cloud somewhere.[00:35:45] swyx: And some of this data that we're going to feed AI is just the most personal data there is. So Apple being like one of the most trusted personal data companies, I think it's very important that they enter the AI race, and I hope to see more out of them.[00:35:58] Alessio: To me, the, the biggest question with the Google deal is like, who's paying who?[00:36:03] Alessio: Because for the browsers, Google pays Apple like 18, 20 billion every year to be the default browser. Is Google going to pay you to have Gemini or is Apple paying Google to have Gemini? I think that's, that's like what I'm most interested to figure out because with the browsers, it's like, it's the entry point to the thing.[00:36:21] Alessio: So it's really valuable to be the default. That's why Google pays. But I wonder if like the perception in AI is going to be like, Hey. You just have to have a good local model on my phone to be worth me purchasing your device. And that was, that's kind of drive Apple to be the one buying the model. But then, like Shawn said, they're doing the MM1 themselves.[00:36:40] Alessio: So are they saying we do models, but they're not as good as the Google ones? I don't know. The whole thing is, it's really confusing, but. It makes for great meme material on on Twitter.[00:36:51] swyx: Yeah, I mean, I think, like, they are possibly more than OpenAI and Microsoft and Amazon. They are the most full stack company there is in computing, and so, like, they own the chips, man.[00:37:05] swyx: Like, they manufacture everything so if, if, if there was a company that could do that. You know, seriously challenge the other AI players. It would be Apple. And it's, I don't think it's as hard as self driving. So like maybe they've, they've just been investing in the wrong thing this whole time. We'll see.[00:37:21] swyx: Wall Street certainly thinks[00:37:22] NLW: so. Wall Street loved that move, man. There's a big, a big sigh of relief. Well, let's, let's move away from, from sort of the big stuff. I mean, the, I think to both of your points, it's going to.[00:37:33] Meta's $800b AI rebrand[00:37:33] NLW: Can I, can[00:37:34] swyx: I, can I, can I jump on factoid about this, this Wall Street thing? I went and looked at when Meta went from being a VR company to an AI company.[00:37:44] swyx: And I think the stock I'm trying to look up the details now. The stock has gone up 187% since Lamo one. Yeah. Which is $830 billion in market value created in the past year. . Yeah. Yeah.[00:37:57] NLW: It's, it's, it's like, remember if you guys haven't Yeah. If you haven't seen the chart, it's actually like remarkable.[00:38:02] NLW: If you draw a little[00:38:03] swyx: arrow on it, it's like, no, we're an AI company now and forget the VR thing.[00:38:10] NLW: It's it, it is an interesting, no, it's, I, I think, alessio, you called it sort of like Zuck's Disruptor Arc or whatever. He, he really does. He is in the midst of a, of a total, you know, I don't know if it's a redemption arc or it's just, it's something different where, you know, he, he's sort of the spoiler.[00:38:25] NLW: Like people loved him just freestyle talking about why he thought they had a better headset than Apple. But even if they didn't agree, they just loved it. He was going direct to camera and talking about it for, you know, five minutes or whatever. So that, that's a fascinating shift that I don't think anyone had on their bingo card, you know, whatever, two years ago.[00:38:41] NLW: Yeah. Yeah,[00:38:42] swyx: we still[00:38:43] Alessio: didn't see and fight Elon though, so[00:38:45] swyx: that's what I'm really looking forward to. I mean, hey, don't, don't, don't write it off, you know, maybe just these things take a while to happen. But we need to see and fight in the Coliseum. No, I think you know, in terms of like self management, life leadership, I think he has, there's a lot of lessons to learn from him.[00:38:59] swyx: You know he might, you know, you might kind of quibble with, like, the social impact of Facebook, but just himself as a in terms of personal growth and, and, you know, Per perseverance through like a lot of change and you know, everyone throwing stuff his way. I think there's a lot to say about like, to learn from, from Zuck, which is crazy 'cause he's my age.[00:39:18] swyx: Yeah. Right.[00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents[00:39:20] NLW: Awesome. Well, so, so one of the big things that I think you guys have, you know, distinct and, and unique insight into being where you are and what you work on is. You know, what developers are getting really excited about right now. And by that, I mean, on the one hand, certainly, you know, like startups who are actually kind of formalized and formed to startups, but also, you know, just in terms of like what people are spending their nights and weekends on what they're, you know, coming to hackathons to do.[00:39:45] NLW: And, you know, I think it's a, it's a, it's, it's such a fascinating indicator for, for where things are headed. Like if you zoom back a year, right now was right when everyone was getting so, so excited about. AI agent stuff, right? Auto, GPT and baby a GI. And these things were like, if you dropped anything on YouTube about those, like instantly tens of thousands of views.[00:40:07] NLW: I know because I had like a 50,000 view video, like the second day that I was doing the show on YouTube, you know, because I was talking about auto GPT. And so anyways, you know, obviously that's sort of not totally come to fruition yet, but what are some of the trends in what you guys are seeing in terms of people's, people's interest and, and, and what people are building?[00:40:24] Alessio: I can start maybe with the agents part and then I know Shawn is doing a diffusion meetup tonight. There's a lot of, a lot of different things. The, the agent wave has been the most interesting kind of like dream to reality arc. So out of GPT, I think they went, From zero to like 125, 000 GitHub stars in six weeks, and then one year later, they have 150, 000 stars.[00:40:49] Alessio: So there's kind of been a big plateau. I mean, you might say there are just not that many people that can start it. You know, everybody already started it. But the promise of, hey, I'll just give you a goal, and you do it. I think it's like, amazing to get people's imagination going. You know, they're like, oh, wow, this This is awesome.[00:41:08] Alessio: Everybody, everybody can try this to do anything. But then as technologists, you're like, well, that's, that's just like not possible, you know, we would have like solved everything. And I think it takes a little bit to go from the promise and the hope that people show you to then try it yourself and going back to say, okay, this is not really working for me.[00:41:28] Alessio: And David Wong from Adept, you know, they in our episode, he specifically said. We don't want to do a bottom up product. You know, we don't want something that everybody can just use and try because it's really hard to get it to be reliable. So we're seeing a lot of companies doing vertical agents that are narrow for a specific domain, and they're very good at something.[00:41:49] Alessio: Mike Conover, who was at Databricks before, is also a friend of Latentspace. He's doing this new company called BrightWave doing AI agents for financial research, and that's it, you know, and they're doing very well. There are other companies doing it in security, doing it in compliance, doing it in legal.[00:42:08] Alessio: All of these things that like, people, nobody just wakes up and say, Oh, I cannot wait to go on AutoGPD and ask it to do a compliance review of my thing. You know, just not what inspires people. So I think the gap on the developer side has been the more bottom sub hacker mentality is trying to build this like very Generic agents that can do a lot of open ended tasks.[00:42:30] Alessio: And then the more business side of things is like, Hey, If I want to raise my next round, I can not just like sit around the mess, mess around with like super generic stuff. I need to find a use case that really works. And I think that that is worth for, for a lot of folks in parallel, you have a lot of companies doing evals.[00:42:47] Alessio: There are dozens of them that just want to help you measure how good your models are doing. Again, if you build evals, you need to also have a restrained surface area to actually figure out whether or not it's good, right? Because you cannot eval anything on everything under the sun. So that's another category where I've seen from the startup pitches that I've seen, there's a lot of interest in, in the enterprise.[00:43:11] Alessio: It's just like really. Fragmented because the production use cases are just coming like now, you know, there are not a lot of long established ones to, to test against. And so does it, that's kind of on the virtual agents and then the robotic side it's probably been the thing that surprised me the most at NVIDIA GTC, the amount of robots that were there that were just like robots everywhere.[00:43:33] Alessio: Like, both in the keynote and then on the show floor, you would have Boston Dynamics dogs running around. There was, like, this, like fox robot that had, like, a virtual face that, like, talked to you and, like, moved in real time. There were industrial robots. NVIDIA did a big push on their own Omniverse thing, which is, like, this Digital twin of whatever environments you're in that you can use to train the robots agents.[00:43:57] Alessio: So that kind of takes people back to the reinforcement learning days, but yeah, agents, people want them, you know, people want them. I give a talk about the, the rise of the full stack employees and kind of this future, the same way full stack engineers kind of work across the stack. In the future, every employee is going to interact with every part of the organization through agents and AI enabled tooling.[00:44:17] Alessio: This is happening. It just needs to be a lot more narrow than maybe the first approach that we took, which is just put a string in AutoGPT and pray. But yeah, there's a lot of super interesting stuff going on.[00:44:27] swyx: Yeah. Well, he Let's recover a lot of stuff there. I'll separate the robotics piece because I feel like that's so different from the software world.[00:44:34] swyx: But yeah, we do talk to a lot of engineers and you know, that this is our sort of bread and butter. And I do agree that vertical agents have worked out a lot better than the horizontal ones. I think all You know, the point I'll make here is just the reason AutoGPT and maybe AGI, you know, it's in the name, like they were promising AGI.[00:44:53] swyx: But I think people are discovering that you cannot engineer your way to AGI. It has to be done at the model level and all these engineering, prompt engineering hacks on top of it weren't really going to get us there in a meaningful way without much further, you know, improvements in the models. I would say, I'll go so far as to say, even Devin, which is, I would, I think the most advanced agent that we've ever seen, still requires a lot of engineering and still probably falls apart a lot in terms of, like, practical usage.[00:45:22] swyx: Or it's just, Way too slow and expensive for, you know, what it's, what it's promised compared to the video. So yeah, that's, that's what, that's what happened with agents from, from last year. But I, I do, I do see, like, vertical agents being very popular and, and sometimes you, like, I think the word agent might even be overused sometimes.[00:45:38] swyx: Like, people don't really care whether or not you call it an AI agent, right? Like, does it replace boring menial tasks that I do That I might hire a human to do, or that the human who is hired to do it, like, actually doesn't really want to do. And I think there's absolutely ways in sort of a vertical context that you can actually go after very routine tasks that can be scaled out to a lot of, you know, AI assistants.[00:46:01] swyx: So, so yeah, I mean, and I would, I would sort of basically plus one what let's just sit there. I think it's, it's very, very promising and I think more people should work on it, not less. Like there's not enough people. Like, we, like, this should be the, the, the main thrust of the AI engineer is to look out, look for use cases and, and go to a production with them instead of just always working on some AGI promising thing that never arrives.[00:46:21] swyx: I,[00:46:22] NLW: I, I can only add that so I've been fiercely making tutorials behind the scenes around basically everything you can imagine with AI. We've probably done, we've done about 300 tutorials over the last couple of months. And the verticalized anything, right, like this is a solution for your particular job or role, even if it's way less interesting or kind of sexy, it's like so radically more useful to people in terms of intersecting with how, like those are the ways that people are actually.[00:46:50] NLW: Adopting AI in a lot of cases is just a, a, a thing that I do over and over again. By the way, I think that's the same way that even the generalized models are getting adopted. You know, it's like, I use midjourney for lots of stuff, but the main thing I use it for is YouTube thumbnails every day. Like day in, day out, I will always do a YouTube thumbnail, you know, or two with, with Midjourney, right?[00:47:09] NLW: And it's like you can, you can start to extrapolate that across a lot of things and all of a sudden, you know, a AI doesn't. It looks revolutionary because of a million small changes rather than one sort of big dramatic change. And I think that the verticalization of agents is sort of a great example of how that's[00:47:26] swyx: going to play out too.[00:47:28] Adept episode - Screen Multimodality[00:47:28] swyx: So I'll have one caveat here, which is I think that Because multi modal models are now commonplace, like Cloud, Gemini, OpenAI, all very very easily multi modal, Apple's easily multi modal, all this stuff. There is a switch for agents for sort of general desktop browsing that I think people so much for joining us today, and we'll see you in the next video.[00:48:04] swyx: Version of the the agent where they're not specifically taking in text or anything They're just watching your screen just like someone else would and and I'm piloting it by vision And you know in the the episode with David that we'll have dropped by the time that this this airs I think I think that is the promise of adept and that is a promise of what a lot of these sort of desktop agents Are and that is the more general purpose system That could be as big as the browser, the operating system, like, people really want to build that foundational piece of software in AI.[00:48:38] swyx: And I would see, like, the potential there for desktop agents being that, that you can have sort of self driving computers. You know, don't write the horizontal piece out. I just think we took a while to get there.[00:48:48] NLW: What else are you guys seeing that's interesting to you? I'm looking at your notes and I see a ton of categories.[00:48:54] Top Model Research from January Recap[00:48:54] swyx: Yeah so I'll take the next two as like as one category, which is basically alternative architectures, right? The two main things that everyone following AI kind of knows now is, one, the diffusion architecture, and two, the let's just say the, Decoder only transformer architecture that is popularized by GPT.[00:49:12] swyx: You can read, you can look on YouTube for thousands and thousands of tutorials on each of those things. What we are talking about here is what's next, what people are researching, and what could be on the horizon that takes the place of those other two things. So first of all, we'll talk about transformer architectures and then diffusion.[00:49:25] swyx: So transformers the, the two leading candidates are effectively RWKV and the state space models the most recent one of which is Mamba, but there's others like the Stripe, ENA, and the S four H three stuff coming out of hazy research at Stanford. And all of those are non quadratic language models that scale the promise to scale a lot better than the, the traditional transformer.[00:49:47] swyx: That this might be too theoretical for most people right now, but it's, it's gonna be. It's gonna come out in weird ways, where, imagine if like, Right now the talk of the town is that Claude and Gemini have a million tokens of context and like whoa You can put in like, you know, two hours of video now, okay But like what if you put what if we could like throw in, you know, two hundred thousand hours of video?[00:50:09] swyx: Like how does that change your usage of AI? What if you could throw in the entire genetic sequence of a human and like synthesize new drugs. Like, well, how does that change things? Like, we don't know because we haven't had access to this capability being so cheap before. And that's the ultimate promise of these two models.[00:50:28] swyx: They're not there yet but we're seeing very, very good progress. RWKV and Mamba are probably the, like, the two leading examples, both of which are open source that you can try them today and and have a lot of progress there. And the, the, the main thing I'll highlight for audio e KV is that at, at the seven B level, they seem to have beat LAMA two in all benchmarks that matter at the same size for the same amount of training as an open source model.[00:50:51] swyx: So that's exciting. You know, they're there, they're seven B now. They're not at seven tb. We don't know if it'll. And then the other thing is diffusion. Diffusions and transformers are are kind of on the collision course. The original stable diffusion already used transformers in in parts of its architecture.[00:51:06] swyx: It seems that transformers are eating more and more of those layers particularly the sort of VAE layer. So that's, the Diffusion Transformer is what Sora is built on. The guy who wrote the Diffusion Transformer paper, Bill Pebbles, is, Bill Pebbles is the lead tech guy on Sora. So you'll just see a lot more Diffusion Transformer stuff going on.[00:51:25] swyx: But there's, there's more sort of experimentation with diffusion. I'm holding a meetup actually here in San Francisco that's gonna be like the state of diffusion, which I'm pretty excited about. Stability's doing a lot of good work. And if you look at the, the architecture of how they're creating Stable Diffusion 3, Hourglass Diffusion, and the inconsistency models, or SDXL Turbo.[00:51:45] swyx: All of these are, like, very, very interesting innovations on, like, the original idea of what Stable Diffusion was. So if you think that it is expensive to create or slow to create Stable Diffusion or an AI generated art, you are not up to date with the latest models. If you think it is hard to create text and images, you are not up to date with the latest models.[00:52:02] swyx: And people still are kind of far behind. The last piece of which is the wildcard I always kind of hold out, which is text diffusion. So Instead of using autogenerative or autoregressive transformers, can you use text to diffuse? So you can use diffusion models to diffuse and create entire chunks of text all at once instead of token by token.[00:52:22] swyx: And that is something that Midjourney confirmed today, because it was only rumored the past few months. But they confirmed today that they were looking into. So all those things are like very exciting new model architectures that are, Maybe something that we'll, you'll see in production two to three years from now.[00:52:37] swyx: So the couple of the trends[00:52:38] NLW: that I want to just get your takes on, because they're sort of something that, that seems like they're coming up are one sort of these, these wearable, you know, kind of passive AI experiences where they're absorbing a lot of what's going on around you and then, and then kind of bringing things back.[00:52:53] NLW: And then the, the other one that I, that I wanted to see if you guys had thoughts on were sort of this next generation of chip companies. Obviously there's a huge amount of emphasis. On on hardware and silicon and, and, and different ways of doing things, but, y

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This week, Kevin and Mykie are showcasing our NERD TALK RADIO panel from Anime Houston 2023! Thanks again to our rad Positron callers who had hot takes on Budget Superpowers, Halloween Monsters, Anime Rides and Robots & More! Grab your Kevin of choice and get to listening!Thanks again to Anime Houston and crew for having us out...Kevin and Mykie will also be @ ANIME DALLAS!Anime DALLAS is taking place NOV. 24-26th at the Houston Marriott Westchasefor more info and tickets check out animedallas.com