Podcasts about KV

První měsíc sezony je téměř za námi a po čtvrtém týdnu už tabulka začne jasně ukazovat, kdo to s útokem na play-off myslí vážně a pro koho začíná být situace kritická. V dnešním dílu podcastu NFL.cz se podíváme na klíčové zápasy nadcházejícího víkendu, rozebereme týmy pod tlakem i nečekaná překvapení úvodu ročníku. Začínáme jako vždy ve středu v 17:45 živě.OBSAH:00:00:27 Úvodní přivítání a diskuse00:01:25 Kvízová otázka na zastoupení národností v NFL mimo USA00:06:41 Debata o vyrovnanosti ligy a mizících rozdílech mezi favority a outsidery00:09:47 Utkání v Riu na Marakaně a zhodnocení virálního videa ze studia00:19:57 Pozvánka na rozhovor s Janem Voskou z New Orleans Saints00:20:51 Týmy s bilancí 3:0 vs 0:300:29:33 Rozbor chyb rozhodčích, systém VAR / New York replay a potřeba profi rozhodčích00:52:11 Novinky na webu NFL.cz (Borisova rozborka, finanční okénko, tipovačka, kartičky)01:00:47 Úspěchy českých reprezentací ve Flag footballu (bronz U17)01:04:49 Cleveland Browns vs. Pittsburgh Steelers01:12:16 Indianapolis Colts vs. Washington Commanders (Londýn)01:16:03 Buffalo Bills vs. New England Patriots01:22:02 Chicago Bears vs. New York Jets01:28:35 Baltimore Ravens vs. Tennessee Titans01:30:44 Cincinnati Bengals vs. Jacksonville Jaguars01:35:24 Dallas Cowboys vs. Houston Texans01:40:02 New York Giants vs. Arizona Cardinals01:47:08 Reklamní přestávka a poděkování partnerům01:51:01 Los Angeles Rams vs. Philadelphia Eagles01:58:33 Green Bay Packers vs. Tampa Bay Buccaneers02:09:41 Minnesota Vikings vs. Miami Dolphins02:13:40 Las Vegas Raiders vs. Kansas City Chiefs02:19:07 Seattle Seahawks vs. Los Angeles Chargers02:22:35 Denver Broncos vs. San Francisco 49ers02:30:02 Carolina Panthers vs. Detroit Lions (Sunday Night Football)02:34:08 New Orleans Saints vs. Atlanta Falcons (Monday Night Football)02:46:08 Sázkařské okénko a společný tiket redakce

Juan Gómez de Lecube estuvo sobre el césped el 10 de febrero de 1929, en el primer partido de Liga de la historia del Athletic de Madrid. Trece años después, su nombre aparecía vinculado a una operación de inteligencia alemana durante la Segunda Guerra Mundial. Futbolista, funcionario, agente con el nombre en clave de “Espina”, detenido por los británicos en Trinidad y posteriormente interrogado en Camp 020, Lecube protagonizó una de las historias más insólitas relacionadas con el Atlético de Madrid. En este nuevo capítulo histórico de De Padres a Hijos reconstruimos su vida desde sus primeros años como futbolista hasta su etapa en el Athletic de Madrid, su participación en el nacimiento de la Liga española, su reclutamiento por la Abwehr, su detención en 1942, los interrogatorios del MI5 y su posterior regreso al fútbol como entrenador. Una historia donde se cruzan el fútbol, la Segunda Guerra Mundial y los servicios secretos. - FUENTES PRINCIPALES • The National Archives, Reino Unido — expediente KV 2/1456, Juan Gómez de Lecube. • Oriol Jové — Lecube. El futbolista de Hitler, Editorial Almuzara, 2024. • Agencia Estatal Boletín Oficial del Estado — BOE de 16 de marzo de 1941. • Club Atlético de Madrid — documentación histórica sobre el primer gol rojiblanco en Liga. • BDFútbol — registros históricos de partidos, jugadores y entrenadores. • MI5 — documentación institucional sobre Camp 020. • Wikimedia Commons y Library of Congress — archivo gráfico histórico según los créditos correspondientes. NOTA EDITORIAL El vídeo distingue entre hechos documentados, testimonios personales y reconstrucciones históricas posteriores. Algunas imágenes utilizadas son recreaciones visuales creadas únicamente como apoyo narrativo y no deben interpretarse como fotografías o documentos históricos auténticos. En particular, la atribución a Lecube del pase previo al primer gol liguero del Athletic de Madrid procede de una reconstrucción histórica posterior; las asistencias no constituían una estadística oficial en 1929. - ⚪ DE PADRES A HIJOS Historias, memoria y pasión por el Atlético de Madrid. Si os gustan estos vídeos históricos, podéis dejarnos en comentarios qué personaje o episodio de la historia rojiblanca os gustaría que investigáramos próximamente. #Atleti #AtléticoDeMadrid #HistoriaDelAtleti #Lecube #Fútbol #HistoriaDelFútbol - Conviértete en miembro de este canal para disfrutar de ventajas: https://www.youtube.com/channel/UCl_X6QI3mnJsttsp96OsCZQ/join Correo: depadresahijoscontacto@gmail.com Twitch: https://www.twitch.tv/depadresahijos Instagram: https://www.instagram.com/depadresahijos1903/ Twitter: https://twitter.com/DPaH1903 TikTok: https://www.tiktok.com/@depadresahijos1903 Youtube: https://www.youtube.com/@DPaH1903 Spotify: https://open.spotify.com/show/6WcodO17ASqRfxYNrjhVGD #atleticomadrid #atleti #futbol #laliga #football

PODCAST LAS NOTICIAS CON CALLE 28 DE SEPTIEMBRE — Hoy evalúan si la luz sube a 36 centavos el Kv/h Arroz llega con gorgojos en comedores escolares, dicen tampoco hay huevo, frutas ni vegetales en los comedores escolares - Primera Hora Llevamos 12 días sin gas en San Juan, el barco se fue a buscar comida y supuestamente regresa mañana - Jay Fonseca PR 3PPO dice que irá a demandar hoy a New Fortress por no traer el gas y para obligarlo a usar otro suplidor de gas - El Nuevo Día Gas de otro suplidor: 12 a 13 centavos; diésel: 37; gas habitual: 9. Cada día sin firma se paga a 37 (END, 27 sep, p. 8)Dos empresas de Taiwán interesadas en venir a PR, pero no sabemos detalles de cogeneración - El Nuevo Día Hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo,tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.Yummy, Yummy, hoy como en Martin's BBQAsado...Jugoso...Sabroso#martinsbbq#incluyeauspicio El papel se apaga, solo El Vocero será ahora impreso La Junta le contestó a Osvaldo Carlo que ellos levantaron banderas rojas en carta de 18 páginas - El Nuevo Día ERP deja sin cobrar a instituciones que atienden víctimas de violencia doméstica y delitos sexuales, llevan meses esperando - Primera Hora Planifican entrada militar de USA a Cuba - CBS Ecuador pide personal militar a USA para combatir drogas - WSJ Jefe de Anthropic se reúne con Trump y cenan anoche - Axios Doce días sin gas en San Juan y el Energos Princess no vuelve en dos semanas (END, 26 sep, p. 10)Pablo José dice que es una posibilidad que el Congreso cite a Josué Colón (El Vocero, 26 sep, p. 5)42 contratistas de la Policía que atienden víctimas de violencia doméstica y sexual llevan desde julio sin cobrar (END, 26 sep, p. 6)Los "agentes" de IA se salen de control: decenas de miles de incidentes incluyendo contra gobierno, Sam Altman pide un detente - Economist Los $2.6 millones del Copop están en OGP esperando que la Junta los apruebe; el año fiscal empezó el 1 de julio (END, 26 sep, p. 6)1,366,877 personas en el Plan Vital, o sea 47% vs 20% en los estados (END p. 8)DACO gana Cataño con 1,725 votos, 241 sobre la viuda del alcalde - WAPA La gobernadora llegó en motora al comité de Torres Montalvo y se cayó al aparcarse (END, 28 sep (ePaper), p. 6)Trump rechazó la propuesta iraní de alto el fuego de 7 días y reabrir el Estrecho de Ormuz - Axios Trump y Xi planean reunirse dos veces más este año (APEC y G20)La UIA acepta $12 la hora de la AAA (END p. 7)El Senado legisla para que los edictos se publiquen en periódicos digitales el mismo domingo en que El Nuevo Día imprimió su última edición ENDLa Opfei tiene hasta el 5 de noviembre para el informe sobre Domenech y Lefranc; puede pedir 90 días más y sumar más investigados (El Vocero, 26 sep, p. 10)Politank todavía no paga la multa de $80,000 (El Vocero, 28 sep, p. 6)DDEC en Taiwán: dos empresas “interesadas” que el secretario no nombra y un reembolso “de hasta 30%” por cogeneración (El Vocero, 28 sep, p. 6)2,649,792 vehículos para 3.2 millones de personas: menos gente, casi el mismo tapón (El Vocero, 28 sep, p. 19)Vieques inaugura hospital de $85.5 millones nueve años después de María (END, 27 sep, p. 9Nos quedamos sin boricuas en el Congreso, podría bajar a 2 de 5 que eran (END, 27 sep, p. 10)AirBnB ya son 56% de la oferta en PR (El Vocero, 28 sep, p. 22)Menor de 16 años será procesado como adulto por la muerte de su abuela en Guaynabo - WAPA Brent~$105.7/barril (vie); $106.9 lunes AM (+2.5%)

VOV1 - Hôm nay (28/9) tại Hà Nội đã diễn ra Lễ khởi công dự án khoa học công nghệ cấp Quốc gia “Nghiên cứu, thiết kế, công nghệ chế tạo cuộn kháng bù ngang điện áp 500 kV”. Dự án do Tổng công ty Thiết bị điện Đông Anh (EEMC) chủ trì, phối hợp với Trường Điện - Điện tử, ĐH Bách khoa Hà Nội thực hiện. Dự án có tổng kinh phí gần 82,5 tỷ đồng (trong đó ngân sách Nhà nước hỗ trợ 22,25 tỷ đồng). Đây là bước đi mới trong lộ trình làm chủ công nghệ thiết bị điện siêu cao áp trong bối cảnh hệ thống truyền tải điện quốc gia đang được đầu tư mở rộng để đáp ứng yêu cầu tăng trưởng phụ tải và phát triển các nguồn điện mới. Ủy viên Bộ Chính trị, Bí thư Thành ủy Hà Nội Trần Đức Thắng dự và phát biểu chỉ đạo tại sự kiện. 

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Today, we welcome a special guest to the podcast, Vasanth Mohan, Head of Developer Relations and Product Marking at SambaNova.SambaNova is transforming AI with efficiency, security and sovereignty, driven by their relentless pursuit of intelligence, and running the largest models by maximizing dataflow efficiency. Vasanth and I dig into some fun - and heavy - topics at the backbone of where the industry is going with AI Inference, specifically at the hardware layer. Questions:Tell me and the audience a bit about you and SambaNova.The Shift to Autonomy: "When we shift from a user generating a single chat response to an autonomous coding agent executing dozens of background tool calls, loop checks, and file rewrites, how does the underlying inference profile change, and what metric breaks first?Latency Budgets: "Token-per-second throughput used to be a nice-to-have metric for human readability, but for multi-agent workflows running in parallel, low latency is critical to prevent system timeouts. How are developers designing prompt structures and context windows to prevent compounding latencies during multi-agent orchestration?Hardware Heterogeneity: "Hyperscalers historically standardized on monolithic hardware, but neoclouds are increasingly mixing high-memory GPUs, specialized inference ASICs, and custom interconnects. How do you decide the optimal hardware mix inside a rack when your customer demand fluctuates between massive long-context reasoning models and rapid edge-like decoding?Power and Rack Density: "With high-end inference accelerators drawing massive power per node, how are neocloud data centers re-engineering liquid cooling, rack layouts, and power distribution specifically to maximize inference density rather than training throughput?Decoupling Prefill and Decode: "Disaggregated inference splits compute-heavy prefill operations from memory-bandwidth-heavy decode operations onto distinct hardware pools. What are the biggest real-world friction points when deploying this in production—especially around KV-cache transfer overhead and inter-node networking?Dynamic Orchestration: "In a disaggregated setup, workload spikes in long-context coding prompts can saturate the prefill pool while leaving decode nodes underutilized. How are leading engineering teams building smart routing layers and dynamic auto-scaling engines to balance compute across compute-bound and memory-bound hardware?The Economic Tipping Point: "Enterprise adoption is oscillating between proprietary API-driven models and self-hosted open-weights models. At what scale—measured in inference volume, latency SLAs, or data privacy constraints—does it become economically imperative for a company to transition off closed APIs onto self-hosted open infrastructure?Linkshttps://sambanova.ai/https://www.linkedin.com/in/v-mohan/ Current Sponsors: Tiger Data Protected Harbor Render Fitnexa Perplexity Entelligence Checkout our Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor. Our Sponsors:* Check out Granola and use my code granola.ai/CODESTORY for a great deal: https://granola.ai* Check out Perplexity and use my code CODESTORY for a great deal: https://www.perplexity.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Everyone talks about GPUs. Almost nobody talks about the layer that feeds them. Renen Hallak is the founder & CEO of VAST Data — the $30 billion company powering xAI and some of the world's biggest AI clouds — and he sits in the hidden layer of the AI stack.In this episode, we cover what an AI factory actually is, why every company will eventually own its own AI, the architecture bet behind VAST (DASE, explained simply), KV caches and agent memory, and DataEnclave — VAST's brand-new confidential AI announcement with NVIDIA that lets leading models run on the world's most sensitive data.Plus: the demand signal that scares even him (a customer went from 500 petabytes to 2 exabytes), circular financing, which neoclouds survive, sovereign AI, working with NVIDIA and Elon Musk's xAI — and why the next 10 years will bring more change than the last 1,000.(00:00) Intro(00:51) The hidden software layer in NVIDIA's AI stack(02:28) What actually makes an "AI factory"?(05:13) Should Walmart and Goldman Sachs build their own AI?(06:20) "We infer during the day, fine-tune at night"(13:16) The announcement: models become a resource to manage(15:32) From P vs. NP to founding VAST Data(17:32) OpenAI, Navier–Stokes and 10,000 collaborating agents(20:25) The pre-transformer insight behind VAST(21:55) DASE: VAST's "shared everything" architecture explained(25:18) "Storage was where startups go to die"(27:39) Trillions of vectors: why old databases break(29:01) Are S3, Snowflake and Databricks ready for AI?(31:29) Data gravity, vendor lock-in and zero churn(33:13) Training vs. inference: why the infrastructure changes(34:46) Model routing, KV caches, RAG and agent memory(36:59) Identity, permissions and security for AI agents(40:27) Can multi-agent systems unlock scientific discovery?(41:55) DataEnclave: how confidential AI protects data and weights(45:16) Who should be AI's trust layer?(46:37) "Sometimes it scares me": 500 petabytes to 2 exabytes(50:08) Is circular AI financing creating systemic risk?(51:32) Why VAST is profitable when AI infra isn't(53:24) What separates the winning neoclouds?(55:06) "Their lunch is being eaten": why hyperscalers lag(59:10) Where will the trillions accrue across the AI stack?(1:01:18) NVIDIA: "There's no legal document between us"(1:03:59) What VAST learned from xAI and Elon Musk(1:05:36) "Bad things loudly and often": building at AI speed(1:06:53) More change in 10 years than the previous 1,000?(1:08:39) VAST's endgame: all the data in the world

Kvällspasset gästas av politikreportrarna Fouad Youcefi från SVT och Göteborgs-Postens Alexandra Carlsson Tenitskaja som svarar på lyssnarfrågor om valet och det politiska läget! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Vad händer med de politiska vildarna och hur mycket påverkar de personliga relationerna när en regering ska bildas? Om det och mycket mer i detta specialavsnitt från Kvällspasset som programleds av Sarit Monastyrski!

KV ที่ทีมคุณ gen ด้วย AI เมื่อวาน ตอบได้ไหมว่าใครเป็นเจ้าของ คำตอบอาจเป็น "ไม่มีใคร" ซึ่งแปลว่าคู่แข่งเอาไปใช้ได้ และเราห้ามยากในงานโฆษณาหนึ่งชิ้น มีเพลง มีภาพ มีฟอนต์ มีคนที่อยู่ในเฟรม มีฉากหลัง และมีส่วนที่ AI ช่วยทำ แต่ละอย่างมีเจ้าของของมัน บางอย่างมีเจ้าของมากกว่าหนึ่งราย . ในพอดแคสต์ 5M EP. นี้ รวิศ หาญอุตสาหะ จะพาทุกคนไปฟัง 3 คดีที่ทำให้ทุกคนสัมผัสถึงความสำคัญ ของสิ่งที่เรียกว่า “ลิขสิทธิ์”  . Mission To The Moon x Clearify by Number 24 . . #Number24Clearify #RightsClearance #IntellectualProperty #missiontothemoon #missiontothemoonpodcast

Inženýři a inženýrky vyrábějící čipy si při hledání zaměstnání na Tchaj-wanu musí dávat pozor, komu na nabídku práce kývnou. Může se jim totiž stát, že začnou nevědomky pracovat pro čínskou firmu, která funguje pod falešnou identitou. Kvůli obavám z národní bezpečnosti totiž čínští výrobci čipů na Tchaj-wanu oficiálně podnikat nesmí. To je příběh, který popsala reportérka investigace.cz Jana Václavíková a který ilustruje tzv. čipovou válku, ve které kromě Tchaj-wanu a Číny figurují hlavně Spojené státy a Evropa. O důležitosti čipů v současném světě a geopolitice s Janou Václavíkovou natáčel Jiří Slavičínský.

KV ที่ทีมคุณ gen ด้วย AI เมื่อวาน ตอบได้ไหมว่าใครเป็นเจ้าของ คำตอบอาจเป็น "ไม่มีใคร" ซึ่งแปลว่าคู่แข่งเอาไปใช้ได้ และเราห้ามยากในงานโฆษณาหนึ่งชิ้น มีเพลง มีภาพ มีฟอนต์ มีคนที่อยู่ในเฟรม มีฉากหลัง และมีส่วนที่ AI ช่วยทำ แต่ละอย่างมีเจ้าของของมัน บางอย่างมีเจ้าของมากกว่าหนึ่งราย . ในพอดแคสต์ 5M EP. นี้ รวิศ หาญอุตสาหะ จะพาทุกคนไปฟัง 3 คดีที่ทำให้ทุกคนสัมผัสถึงความสำคัญ ของสิ่งที่เรียกว่า “ลิขสิทธิ์”  . Mission To The Moon x Clearify by Number 24 . . #Number24Clearify #RightsClearance #IntellectualProperty #missiontothemoon #missiontothemoonpodcast

KV ที่ทีมคุณ gen ด้วย AI เมื่อวาน ตอบได้ไหมว่าใครเป็นเจ้าของ คำตอบอาจเป็น "ไม่มีใคร" ซึ่งแปลว่าคู่แข่งเอาไปใช้ได้ และเราห้ามยากในงานโฆษณาหนึ่งชิ้น มีเพลง มีภาพ มีฟอนต์ มีคนที่อยู่ในเฟรม มีฉากหลัง และมีส่วนที่ AI ช่วยทำ แต่ละอย่างมีเจ้าของของมัน บางอย่างมีเจ้าของมากกว่าหนึ่งราย . ในพอดแคสต์ 5M EP. นี้ รวิศ หาญอุตสาหะ จะพาทุกคนไปฟัง 3 คดีที่ทำให้ทุกคนสัมผัสถึงความสำคัญ ของสิ่งที่เรียกว่า “ลิขสิทธิ์”  . Mission To The Moon x Clearify by Number 24 . . #Number24Clearify #RightsClearance #IntellectualProperty #missiontothemoon #missiontothemoonpodcast

Kvænangens historie – samisk, kvensk og norsk kultur i Nord-TromsI denne episoden av Nordnorsk historie går vi nærmere inn i Kvænangens historie – et område i Nord-Troms preget av møtet mellom samisk, kvensk og norsk kultur.Kvænangen har gjennom generasjoner vært hjem for mennesker med ulike språk, tradisjoner og levemåter. Historien om området gir derfor et viktig innblikk i både samisk historie, kvensk historie og nordnorsk historie, og i hvordan kultur, identitet og lokalsamfunn har utviklet seg i Nord-Norge.Vi ser på Kvænangen som historisk samfunn og på menneskene, kulturmøtene og livsvilkårene som har satt sitt preg på området. Natur, bosetting, språk, næringsliv og tilhørighet er alle deler av fortellingen om denne delen av Nord-Troms.Kvænangens historie er samtidig en del av en større historie om Nord-Norge. Her møtes samisk, kvensk og norsk kulturarv, og lokale historier gir perspektiver på utviklingen av landsdelen gjennom tidene.Episoden passer for deg som er interessert i Kvænangen, Nord-Troms, lokalhistorie, samisk kultur, kvensk kultur, norsk historie og historien til Nord-Norge.Hør denne episoden av Nordnorsk historie og bli bedre kjent med Kvænangen, menneskene som har levd der og kulturarven som har formet området.Medvirkende:Ordfører Kai Petter Johansen Varaordfører Jan Helge JensenProgramleder Jitse BuitinkTags / nøkkelord:Kvænangen, Kvænangens historie, Nord-Troms, Nordnorsk historie, Nord-Norge, Troms, lokalhistorie, norsk historie, samisk historie, samisk kultur, kvensk historie, kvensk kultur, kvener, samer, kulturhistorie, nordnorsk kultur, historiepodcast, norsk podcastSerien Nordnorsk Historie er produsert for Radionordnorge.no Hosted on Acast. See acast.com/privacy for more information.

Starostové se ve sněmovních průzkumech stále drží na druhém místě za dominujícím hnutím ANO. Odrazí se celorepubliková podpora STAN v komunálních volbách? A bude mít hnutí primátora v Praze? Hostem Ptám se já byl kandidát STAN na pražského primátora Petr Hlaváček. Volby do Poslanecké sněmovny by v srpnu jasně vyhrálo vládní hnutí ANO s 34 procenty hlasů. Opoziční hnutí STAN by jako druhé získalo 12 procent, těsně třetí ODS má podporu 11 procent voličů. Data z aktuálního volebního modelu tento týden zveřejnila agentura Median. Starostové si tak stále udržují náskok před ODS, kterou v posledních měsících v průzkumech přeskočili. Zda se zájem voličů propíše do výsledku Starostů v komunálních volbách, se ukáže už za zhruba dva týdny. Největší mediální pozornost už tradičně dostává boj o vedení hlavního města, kde STAN letos patří mezi favority. Pražskému lídrovi hnutí Petrovi Hlaváčkovi ale na necelé dva týdny přerušila už tak méně výraznou kampaň plánovaná operace a následná rekonvalescence. Kvůli tomu se Hlaváček omluvil také z Primátorské ultradebaty, kterou 16. září pořádaly Seznam Zprávy. Na ní mimochodem zaznělo z úst dalšího pražského volebního lídra a Hlaváčkova kolegy z magistrátu Adama Scheinherra, který kritizoval lídra STAN, že umí plánovat, neumí dotahovat stavby a věci do konce. „To si musíme vyříkat z očí do očí,“ řekl Hlaváček. Architekt a urbanista Petr Hlaváček, který působí téměř osm let v pražské koalici jako náměstek pro územní rozvoj, jde do komunálních voleb jako lídr Starostů v metropoli podruhé. Svou kampaň staví na Metropolitním plánu nebo přípravě Vltavské filharmonie. Pokud by se stal primátorem, chce prosadit odlehčení dopravní situace nebo navýšení ceny parkování i městské hromadné dopravy. Co si Starostové nachystali na finále kampaně v Praze? S kým by další čtyři roky vládli? A kdo vyřeší problémy s dopravou či školami? -- Podcast Ptám se já. Rozhovory s lidmi, kteří mají vliv, odpovědnost, informace. Sledujte na Seznam Zprávách, poslouchejte na Podcasty.cz a ve všech podcastových aplikacích. Archiv všech dílů najdete tady. Své postřehy, připomínky nebo tipy nám pište prostřednictvím sociálních sítí pod hashtagem #ptamseja nebo na e-mail: audio@sz.cz.

Fungují také dvě nízkoprahové ošetřovny pro lidi bez domova, které vznikly ve spolupráci města, Českého červeného kříže a organizací Květina a White Light.

Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us!We have an unusual relationship with today's guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we'll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:* the official patterns and cookbooks you should see first, from Allie* Jev usecases* speed based - games and computer use* the voice + computer use example we discuss at 1h34 mins* voice + browser control* The must not miss Doom demo* Driving cars in games* Excalidraw* virtual try-ons* “Smart Games”/smart NPCs* guided responses in text messages* Jev for coding agents has an official guide * jev for linting* compacting tool calls* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything* Programming Languages built atop Jev (Diogo's fave)* Jev for analytics replay and user journey review* “dark data”* entity resolution* natural language search* “smart software”* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex* Jev as a judge* Jev memes* Jev vs LLM capabiltiies* blending transformers and classifiers* about the confidence api* Jev vs GLiNER (note difference/pushback, agreed, agreed, agreed)* Jev on trolley problem* Jev BushInstead we'll focus on what we can uniquely offer — a broader philosophical and mission-based understanding of how and why Jev was created, and what you should expect next in terms of future models from TypeSafe (ReasoningJev?) and what usecases and ideas you should work on vs the 55th low effort clone of Jev's API or doing a generic JevBench benchmark - something Diogo has rejected publicly.Why RLCD: Three kinds of RLHF, and why they are ALL the wrong north starDiogo knows a good deal about RLHF, given that he was on the team that pioneered post-training at OpenAI — and traces the three branches to Christiano et al 2017 (the robot backflip demo), Stiennon et al 2020 (learning to summarize) and his baby, Ouyang et al 2022 (InstructGPT). From there on, every innovation from Function Calling to Structured Outputs to Reasoning felt like a hack on top of the string based, sequence to sequence prediction paradigm. As he mentions on the pod, from 2023-2024 he struggled unsuccessfully, due to both personal and organization underestimation, to train a model that accurately addressed what he saw as the core problem with making LLMs the heart of software: reliability.Jev's core innovation is "Reinforcement Learning for Calibrated Decisions”, a novel, unpublished technique that optimizes for “answers with epistemically honest probabilities on System One tasks” rather than human rated feedback (RLHF) — which causes hallucinations, sycophancy, and permanent reliance on humans — or programmatically verifiable outputs with rubrics (RLVR) — which solves Navier Stokes but exacerbates jagged intelligence and doesn't integrate well with other software.We've talked about the calibration problem before on the pod, but probably the single best place to understand why RLCD became necessary is Diogo's AIE talk, which discusses why a generation of training helpful AI assistants for humans has impaired them for training models for composable, programmable AI for automation.At the end he also teases his contrarian opinion on scaling laws - which teases how to build a modern neolab without the billions of dollars the major labs have…The Bitterest Lesson: Tasks and Data beats ComputeWe spend a good amount of time discussing Diogo's essay on the Bitterest Lesson:His point is that “You get what you optimize for and the bitterest lesson in ML is that the most important part of it isn't ML at all.” - and picking the right north star, eg upvoting for user preference vs being integrated into tool calls - makes everything else fall in line.We're excited to catch up with a freshly dyed Diogo to discuss:* Why AI can solve extraordinarily hard problems but still fail to automate basic work* What System One Models are and why Jev is built for software rather than chat* RLHF, mode collapse, calibration, and the hidden costs of optimizing for human preferences* Why refusals become a problem when AI is buried inside software dependencies* Why TypeSafe rejects public benchmarks and optimizes for intelligence per dollar* The “bitterest lesson”: why the right task and the right data can matter more than compute* Why TypeSafe thinks of itself as a data lab rather than a model lab* RLCD vs. RLHF and RLVR as fundamentally different North Stars for AI* Why reliability and robustness matter more than simple determinism* Jev's programming primitives and how intelligence maps into software control flow* Why developers should decompose AI workflows into small, measurable decisions* How structured state replaces giant prompts and system messages* Why Diogo thinks AI should eventually disappear into the background of software* The “inverse SaaS-pocalypse” and how AI could supercharge existing software* System One vs. System Two intelligence and the limits of reasoning models* Dark data, computer use, real-time intelligence, and Jev's biggest early use cases* Why Jev could reshape coding agents built around a single-model architecture* Why Diogo says he wouldn't pre-train with $1 billion* The OpenAI journey that led to TypeSafe and why he thinks many neo-labs are approaching AI incorrectly* Coding agents beyond the KV cache, shared state, sub-agents, and the multi-agent futureDiogo Almeida* LinkedIn: https://www.linkedin.com/in/diogomda* X: https://x.com/CompleteSkeptic* TypeSafe AI: https://typesafe.ai/Timestamps00:00:00 Jev Launch Week and the AI Economic Revolution00:02:50 What Is Jev? System One Models and Programmable AI00:05:54 RLHF, Mode Collapse, Calibration, and Yann LeCun00:10:29 Programmatic AI, Refusals, and Safety Alignment00:17:21 Why TypeSafe Rejects Public Benchmarks00:20:43 The Bitterest Lesson: Data, Compute, and the Right Task00:24:59 RLCD vs. RLHF and RLVR00:28:42 Why Powerful AI Still Hasn't Automated the Economy00:39:55 Reliability, Robustness, and Determinism00:48:11 Model Versioning, LTS, Speed, and Intelligence per Dollar00:54:04 Inside Jev's API and Programming Primitives00:58:28 How to Build with Jev: Structure, Decomposition, and Small Decisions01:18:28 The Inverse SaaS-pocalypse and AI Disappearing into Software01:33:21 Computer Use, Dark Data, and Jev's Biggest Use Cases01:38:48 How Jev Could Reshape Coding Agents01:41:00 AI Safety, Frontier Pacing, and the Limits of RLVR01:48:03 Why Diogo Wouldn't Pre-Train with $1 Billion01:55:19 The OpenAI Story Behind TypeSafe02:01:41 Why Diogo Thinks Most Neo-Labs Are Getting AI Wrong02:08:00 Coding Agents Beyond the KV Cache and the Multi-Agent FutureTranscriptIntroduction: Jev Launch Week and Developer MomentumSwyx [00:00:00]: Okay, we're in the studio. A special occasion because this week, Diogo, my good buddy, launched Jev, and it's been taking over the complete timeline. How do you feel? What's it like to be you right now?Diogo Almeida [00:00:16]: Emotionally?Swyx [00:00:17]: Yeah.Diogo Almeida [00:00:17]: Never been worse. Like, I'm a ragged corpse of a person right now because there's so much going on, and I'm like a technical CEO, so I have, like, a lot of fires to fight.Swyx [00:00:29]: Yeah.Diogo Almeida [00:00:29]: But mentally, I feel—I say this all the time, and I've been saying this kind of for years in my over-under events. Like, I feel like the entire AI field is like one of those, like, carnival house of mirrors, and everyone is just insane and saying the weirdest stuff that doesn't make sense. And it feels like for just this week, like, I'm on a better in sync with reality and like, oh, people see it now. AI can be so much more than what was once thought.Diogo Almeida [00:01:06]: And like, yes, we are going to make. Like, an AI-based economic revolution is back on the table, and this is f*****g awesome.Diogo Almeida [00:01:17]: I'm so jazzed the developers get it. It's, it's, Yeah, and I want to show my eternal gratitude to the developers andSwyx [00:01:25]: Yeah.Diogo Almeida [00:01:26]: I'm so jazzed about the community and everything. It's so great.Swyx [00:01:28]: Yeah, you were saying yesterday that you decided to prioritize the town hall and not a bunch of, like, VIP, investor-type people because you wanted to make sure that they are the people that you get your most, attention, right? The engineers, the developers.Diogo Almeida [00:01:43]: Yeah, it felt a little like, oh man, I'm talking to, like, really important people right now.Swyx [00:01:47]: Yeah.Diogo Almeida [00:01:47]: I probably shouldn't reveal who.Swyx [00:01:48]: Yeah.Diogo Almeida [00:01:48]: But it feels a little bit dirty for me to, I'm, like, perhaps overly genuine in things. Like, it feels, like, dirty if, like, in my gigantic calendar event of people to talk to, the community isn't one of those.Swyx [00:02:04]: Yeah.Diogo Almeida [00:02:04]: And actually, in my ideal world, it would be, like, community all the time. I was thinking, “Should I host a town hall while walking to your studio?” And I'm like, “No, that's too crazy.”Swyx [00:02:12]: Sure. Yeah. Well, you guys have been hosting town halls on Discord. Discord is now 100,000 people. Your Twitter'sDiogo Almeida [00:02:19]: I don't follow these stats.Swyx [00:02:20]: Yeah.Diogo Almeida [00:02:20]: So holy s**t.Swyx [00:02:21]: Your Twitter's blown up. It was, it was really funny ‘cause, like, at AIE, you were like, “Yeah, follow me please,” and then you didn't, like, provide even your handle.Diogo Almeida [00:02:29]: I'm a noob. I'm a noob.Swyx [00:02:29]: You're such a noob.Diogo Almeida [00:02:30]: I'm a noob.Swyx [00:02:31]: But no, but that, like, that's, like, positive aura that, likeDiogo Almeida [00:02:33]: CoolSwyx [00:02:33]: You don't know how to promote yourself.Diogo Almeida [00:02:35]: Yeah. Someone, like, called me out when I posted, like, “Holy s**t, we're all three twending-- trending topics.” And then they're like, “That's a personal feed.”Swyx [00:02:42]: That's a personal, yeah.Diogo Almeida [00:02:43]: And I'm like, “Oh, no.”Swyx [00:02:44]: Of course, of course it'll trend to you.Diogo Almeida [00:02:45]: Cringe. Yeah.Swyx [00:02:45]: Yes, ‘cause it's what you clicked on.Diogo Almeida [00:02:47]: Yeah.Swyx [00:02:47]: So okay. Let's, Yeah, so congrats on everything.What Is Jev? System 1 Models and Intelligence per DollarDiogo Almeida [00:02:50]: Thank you.Swyx [00:02:50]: We'll talk about more, details as you have them. But let's, for people who are, like, living under a rock or just want, like, the definitive thing, what is Jev?Diogo Almeida [00:03:02]: Whew. Let me think about. That's a hard one.Swyx [00:03:07]: Okay. And I'm happy to, like, re-ask if you wanna kind ofDiogo Almeida [00:03:09]: No. I'm happy toSwyx [00:03:10]: OkayDiogo Almeida [00:03:10]: I'm happy to, like, just jam on it.Swyx [00:03:12]: Yeah.Diogo Almeida [00:03:13]: I will say, like, the first thing that I'm relieved about with this question is now I don't have to answer that question to my parents anymore ‘cause ChatGPT can just explain it.Swyx [00:03:20]: Nice.Diogo Almeida [00:03:21]: So the way I see it is we new-- need a new class of models. We're not attached to naming that class of models. Our-- the most accurate name we've come up with is System 1 models.Swyx [00:03:33]: Yeah.Diogo Almeida [00:03:33]: There will be reasons, but it's-- there's a reason why we don't call them decision models, because, like, they will be. Like, System 1 is beyond that. That's all I can say. We didn't expect this to be our big launch, so we have stuff in the tank.Swyx [00:03:48]: You should have said low-key research preview.Diogo Almeida [00:03:52]: It kind of was, right? It kind of was. But we. So there's a class of models that we describe them as, like, machine-native, System 1, large programmable. I think these are-- is the class of models where the goal is for code to be the consumer. So as opposed to, lar-- pre-trained large language models, which are meant for, like, autocomplete of the internet, or RLHF models, like chatbot instruction-following models, which are meant to, like, reply to text, or RLVR. It's in a weird gray area with RLHF. Like, these are meant to have things that directly are consumed by code, hence the name type safe. So the thing we really want is to have, like, AI, like, be as powerful as possible, and we think the way to do that is to integrate it with software. And we are designing everything, beyond just the outside, the deep internals of the model to be optimized for software. So number one, Jev is our first large programmable model, or a System 1 model, whatever you want to call it. Jev is meant to be optimized for intelligence per dollar, hence the name Jev.Swyx [00:05:03]: Jevons Paradox.Diogo Almeida [00:05:03]: Jevons Paradox, yeah. And it's optimized for intelligence per dollar. I love this debate with people about what is the most important between reliability, cost, calibration, and speed. And Jev is meant to be. Jev will be the name of models that will be on the frontier of intelligence per dollar. There's other ways to optimize it, like, ML, or at least if you're good at ML, it's all about trade-offs. And we are just going all out on that.Calibration, Mode Collapse, and the Limits of RLHFSwyx [00:05:31]: Yeah. And to me, like, calibration is one of the new things that people weren't talking about as much. We've done an episode In the past, with Clementine Foreia of Hugging Face, where they were like, “Yeah, actually, y- they're just.” Or, and this is your whole argument about RLHF, is they're more collapsing towards what you want to hear the mostDiogo Almeida [00:05:50]: OohSwyx [00:05:50]: Or what is most likely, instead of, like, their own internal confidence about a thing.Diogo Almeida [00:05:54]: Can I soapbox on that for a second?Swyx [00:05:56]: Go ahead. Yeah.Diogo Almeida [00:05:57]: Cool. Like, I've been heard that your audience is the most technical, so I actually want to get into that.Swyx [00:06:02]: Yeah.Diogo Almeida [00:06:03]: And if- I went through extreme precision to make sure everything in our launch video is accurate and real. Apparently, that's very unusual. One of the things that no one paid attention to was the downsides of RLHF, in particular mode dropping.Swyx [00:06:17]: Mode dropping or mode collapse?Diogo Almeida [00:06:19]: It's the same thing.Swyx [00:06:19]: Is that what you call it?Diogo Almeida [00:06:20]: It's the same thing.Swyx [00:06:20]: All right.Diogo Almeida [00:06:21]: And I wanna have a blog on this eventually, but I, like, want to tell as many people this as possible ‘cause I think it's a very interesting thing. So the spicy take, I believe in Yann LeCun a lot. I think Yann LeCun's takes are actually among the closest toSwyx [00:06:36]: What about this?Diogo Almeida [00:06:37]: Well, should I address this now or should I wait and go into mode collapse?Swyx [00:06:40]: No, later. Go mode, go mode collapse. I don't know.Diogo Almeida [00:06:42]: So I actually think that among takes, Yann LeCun's is among the most accurate. But he has this very famous/infamous slide about,Swyx [00:06:52]: The cake?Diogo Almeida [00:06:53]: LLMs are doomed.Swyx [00:06:54]: Okay.Diogo Almeida [00:06:54]: Like that one where he, like, has, like, a pie chart with, like, a tiny par-- tiny little thing- and says that as you increase sequence length, the probability of it making an error goes in. Yes, this one. This one. I love this one, because it's one of these things that seems mathematically obvious, but is obviously wrong, right? Like, it's mathematically obvious, but it doesn't empirically hold. And this is my favorite thing to teach people about, like, where youSwyx [00:07:21]: What's the disconnect, right?Diogo Almeida [00:07:22]: Exactly. And may I or you want to tell me?Swyx [00:07:27]: About mode collapse?Diogo Almeida [00:07:28]: Oh, no. Oh, so mode clop-- collapse is related to this.Swyx [00:07:31]: Yeah.Diogo Almeida [00:07:31]: The disconnect happens because if you are in a mode covering or a calibrated distribution, you are, like, not. You are not overly punished about having outliers. You'd expect, like, something. Some amount of the time you'd be out of distribution, some amount of time you'd be in distribution. That's what happens when you cover the distribution. This was like models before GANs. They made blurry images, right?Diogo Almeida [00:07:54]: Instead, GANs mode drop. They, like, drop the minority classes and just do the really common ones. And this is why this effect doesn't happen, right? Like, instead of be-- in order to generate really long strings, without making errors, they need to, like, be extremely conservative because it's e- really easy to see when an error happens. It's very hard to see when, like, a subtle thing that looks correct happens. And that calibration is, like, total poison into, like, the probability distributions of strings.Swyx [00:08:22]: Yeah.Diogo Almeida [00:08:23]: And it's, it's a nuanced take and like, I think that This is why this doesn't happen, and this is why strings are so bad at, decision-making or, overloading the string models are for decision-making is, like, a bad time.Yann LeCun, JEPA, Scaling Laws, and Practical ResearchSwyx [00:08:38]: And while we're on the topic of Yann, do you agree that his fix i- with-- which is like a world model, like a JEPA-type, embedding thing is the right solve? So basically, like, the. One of the reasons that it could fail is because you're trying to reason over token outputs and then, and then just looping back again and going. Keep, continuing going until you reach, like, a end of sentence. Like, is that, And his solve is JEPA, right?Diogo Almeida [00:09:02]: Yes.Swyx [00:09:02]: Which is, like, joint ambition,Diogo Almeida [00:09:04]: YeahSwyx [00:09:04]: Joint embedding prediction. So like, is that the solve or, like, do you have a. Do you have a take on that?Diogo Almeida [00:09:10]: Oh, man. I probably shouldn't talk too much about the insides of ML, but I will say that my brand, other than unhinged, is practical.Diogo Almeida [00:09:20]: Like, even my take here is practical. And like, I'm. Am I a scaling law fan? Depends. It dep-- it's, it's, it's, like, it's. Scaling laws tell you how much better you get at a thing for amount in.Diogo Almeida [00:09:33]: A scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those, like, linear gains are, like, really valuable. But it's all. To me, it's all about, like, what can we do with what we have to make the biggest possible f*****g difference? I can curse.Swyx [00:09:51]: Yeah.Diogo Almeida [00:09:51]: Yeah.Swyx [00:09:52]: Yeah.Diogo Almeida [00:09:52]: Yeah.Swyx [00:09:53]: We're, we're, we're approved for adults.Diogo Almeida [00:09:54]: Hell yeah.Swyx [00:09:55]: And also we have a scaling law thing if you wanna go into that later.Diogo Almeida [00:09:58]: Oh, I could if we. See, that part is not super relevant right now.Swyx [00:10:02]: Yeah.Diogo Almeida [00:10:03]: I actually. If you wanna go into my bitterest lesson, I think that's more relevant.Swyx [00:10:06]: Okay.Diogo Almeida [00:10:06]: But like, to me, I'm all about, like, pragmatics. And I think that the JEPA stuff is really cool early research. I really love awesome research. Is it practical yet?Diogo Almeida [00:10:21]: Probably shouldn't say. But like, there's just a lot of.Diogo Almeida [00:10:29]: I just think there's just, like, so many diamonds in the rough let all over the research world right now that haven't been polished because people don't know how to, like, do the right task. And I think that what our launch did, it. Does it kickstart us as a company? Like, yes. Will it be great for us as a company? Yes. I think it's gonna be, like, even greater for this direction of, like, programmatic AI. There was going to be, like, a gold rush on top of us for. ‘cause, like, software is super f*****g charged. But I think there's gonna be a gold rush parallel to us as well on, like, all the different ways we can expose things to make software more powerful so people can make even cooler stuff. And then we are back to, like, early internet energy?Swyx [00:11:12]: Yeah.Diogo Almeida [00:11:12]: And I think that's why, like, the Twitter is just like, “Jev.”? It's, it's like. It is a partySwyx [00:11:18]: It's inspiring because it's, it's, like, so different than what we're used to, which is, “I'm sorry you can't do this, but we do scaling laws and only the big labs can do it,” right?Diogo Almeida [00:11:28]: That. Actually, if I. I'll, I'll make a tangent if that's okay.Swyx [00:11:32]: Yeah.Diogo Almeida [00:11:32]: I think you might enjoy this.Swyx [00:11:33]: Really? Our five tangents in. It's good. It's fun. Yeah.Diogo Almeida [00:11:35]: Oh, yeah. I get lost at all my tangents.Swyx [00:11:37]: This is gonna be horrible for the listeners to figure it out, but they're gonna figure it out. It's fine.Safety Alignment, Refusals, and API PhilosophyDiogo Almeida [00:11:40]: Yeah, we can edit it in post.Swyx [00:11:40]: This is my response. Yeah.Diogo Almeida [00:11:41]: So popular thing on Discord, that people keep asking me, I haven't had the time to explain it yet, is why am I opposed to safety alignment and why do we not refuse? I'm not opposed to safety as a principle, but I think that safety alignment is generally misaligned with users. And refusal is just, like, obviously a type error. Like, if you're a human being and you're chatting with, like, a bot or whatever, you're cloud coding, and a refusal happens, like, “I'm sorry, I can't read DNA.py.” that's an annoying time. It's anno- it's, it's annoyingDiogo Almeida [00:12:18]: Right? But you can work with it, right? And you're forced to work with it ‘cause of Stockholm syndrome.Diogo Almeida [00:12:23]: I have stories about that too. I need another tangent deep in here. But like, if you ever want this in a dependency running in the background, what happens if that refuses? What if someone else is using that dependency? They don't know what that system is. Like, you want the software to just stochastically break because a user sent, like, a weird message in there?Diogo Almeida [00:12:42]: Like, that is, like, straight-up insanity. It's coming from a place of, like, people who do not understand software, do not understand programming, and like, they are obsessed with, like, I believe this, horseless carriage of, like, AI coworker instead of unearthing, like, the full power of AI.Swyx [00:13:01]: Fair enough.Diogo Almeida [00:13:01]: Yeah.Swyx [00:13:01]: You want something that is the core kernel that is usable everywhere.Diogo Almeida [00:13:05]: Yes. Exactly. Like, the cognitive core, right?Swyx [00:13:07]: Yeah.Diogo Almeida [00:13:08]: And you need this thing to be s- like, so general, so optimized for its use cases. You want it to be, like, you want it to work on all the future use cases, all the weird s**t that people are doing.Swyx [00:13:19]: Yeah.Diogo Almeida [00:13:19]: We obviously didn't train on any of that stuff. Is it surprising that it works? No, ‘cause we trained on weirder stuff, my friend.Diogo Almeida [00:13:28]: So. But one tangent up about, like, safety alignment.Swyx [00:13:32]: Okay.Diogo Almeida [00:13:32]: Safety alignment makes sense for a product, in my opinion, for, like, ChatGPT and Claude. Like, it, What safety, what makes safety and capability alignment different is capability alignment is, like, about doing what the user wants. That is sick for software engineers. They want their thing to do the thing, and the more predictable it is, the less they have to test it and play around with it. Jeb is not anywhere close to that yet. It could be, but like, there's so many more nines of reliability that we want in order to make it so good, like a database query, that you don't even have to think about it. It is just there when you need intelligence. But safety alignment is, like, the opposite of instruction following. It's when you want to follow someone else's instructions, like OpenAI and AnthropicSwyx [00:14:13]: The RAGs value stack.Diogo Almeida [00:14:14]: Exactly. And this makes a lot of sense for a product. Again, like, ChatGPT should do. Y- you sh- like, if they don't want to, like, do, like, some, not-safe-for-work role play with ChatGPT, that's on them because, like, maybe that's, what their users who have, like, parents and kids want. Like, n- that's fine. But in an API, that's nuts, right? Like, that's completely unacceptable because, like, people need to, like, program around this, and that is, that's so anti-user that it's. It. I'm. Huh. I can be an angry person, so I should try to calm down.Swyx [00:14:52]: It's, People get your passion, and I think that's really good. The one pushback I'll give you is, like, what if we use it to kill people, right? Like, that is the actual. Like, n- the not-safe-for-work thing, it's private, personal, whatever. But like, yes, like, we will use it in war. And like, that is, something that companies can reasonably prefer their APIs not be used for.Diogo Almeida [00:15:14]: I get that. I think that there's, like, pragmatic places where that opinion can be held. I don't think the foundation of, like, a general-purpose technology is that place, personally.Diogo Almeida [00:15:27]: Like, would I prefer that our stuff is not used to kill people? Obviously. Would I prefer it's used for, like, all sorts of, like, great stuff in the world? Obviously. Will I put my thumb in the scale for that? Yes. Will I do it at the technological layer? Absolutely not, because that will fracture the intelligence. Every single time you mean it to overfit to some weird stuff, you're fracturing its intelligence more and more. And like, these things are fractured to the, like. They're so darn fractured right now.Swyx [00:15:54]: Yeah.Diogo Almeida [00:15:54]: So and as a furthermore thing, to me, it's like I think intelligence will be more like a database than a coworker. Like, I don't think it's up to databases to add checks on whether or not they're used for, like, what's something that's not great? Like, CIA. Actually, I don't know what the CIA does, really. You can imagine. You can imagine, killing people who are not even bad or whatever.Diogo Almeida [00:16:21]: And like, I don't think it's the database's responsibility for that. And furthermore, like, a thing that has been weird to me is when people, like, sign up for our thing on Slack and they're like, “Hey, we're gonna deploy this. Can we deploy this thing?” I am just like, “My brother, we are an API. You are a developer. It's none of my business,” right? Like, you shouldn't know what the whole task even isSwyx [00:16:46]: YeahDiogo Almeida [00:16:46]: Because it should be decomposed into small things. We shouldn't be able to know what the downstream users are doing, and that is, like, a good boundary to give software engineers maximum power. Ideally, they use it for the good stuff, and ideally, we can, like, help them and like, we've talked about, like, doing open source and charity and all of that. We have absolutely no time for anything else right now. But like, they will get any of that bias out of the technological layer as long as I'm in charge.Privacy, Benchmarking, and Trusting IntelligenceSwyx [00:17:11]: Yeah, that's great. While we're on the topic, let's also briefly talk about your privacy stuff, terms of ser- terms of use, which, got a little bit ofDiogo Almeida [00:17:18]: OohSwyx [00:17:18]: Misunderstanding. I just wanna clarify that upfront.Diogo Almeida [00:17:21]: Hell yeah.Swyx [00:17:21]: I think this probably takes two sentences from you about, like, you will not. You're not being that restrictive about your API. Like, clearlyDiogo Almeida [00:17:27]: Oh, yeah. Oh, yeah, so yeahSwyx [00:17:27]: Ideologically, you articulate your role as a platform very seriously.Diogo Almeida [00:17:30]: Yes. Yes. I don't know what you're referring to, but like, this was. I've seen a couple of things about, like, benchmarking.Swyx [00:17:38]: Yes.Diogo Almeida [00:17:38]: Like, obviously we're not stopping people from do. Oh, man, I should be careful about what I say. I'm realizingSwyx [00:17:43]: No, you said, you said it publicly thatDiogo Almeida [00:17:44]: YeahSwyx [00:17:44]: That was in the preview period. You didn't take it out for the launch.Diogo Almeida [00:17:47]: Yeah. Okay.Swyx [00:17:47]: And now you're gonna take it out.Diogo Almeida [00:17:48]: So the team is doing stuff thatSwyx [00:17:49]: YesDiogo Almeida [00:17:49]: I'm not even aware of, so it's great to know the team communicated that. I asked them to check in with the lawyers about that.Swyx [00:17:54]: Yeah.Diogo Almeida [00:17:54]: Like, we are obviously not stopping people from doing that type of thing. I'm extremely in favor. So I'm extremely anti-public benchmarks. I'm extremely in fa- I'm medium about private benchmarks that are proxies. ISwyx [00:18:09]: So are you worried about, saturation or, like, training on public benchmarks? So it's, like, easy to cheat.Diogo Almeida [00:18:15]: Not only is it easy to cheat, there's a lot of ins. So I think that we are. Or anyone who's, like, competition with us that, vaguely there is. Like, you could say, likeSwyx [00:18:28]: There's like 50 Jev clones, yeah.Diogo Almeida [00:18:30]: Well, sure.Swyx [00:18:31]: Yeah.Diogo Almeida [00:18:32]: Well, the, these. Let's say that there is competition.Swyx [00:18:34]: And we'll talk about those. Yeah.Diogo Almeida [00:18:34]: Or let's just say that there's. Let's just assume that there's an industry two years from now of people who are doing similar things to us. The thing that we are selling is intelligence per something, per, like, dollar or per second. The. No one. Like, people obsess about the cost and the speed. I believe that is. It's cool, but like, the thing that matters is the intelligence. Like, the cost and the speed are, like, are bad things. You're paying them for something, and you need the thing back, and the intelligence is what truly matters. The problem with intelligence is that there's a je ne sais quoi to it, right? Like, the good model smell. Like, the thing that happened after we launched of, like, two hours later that actually went way bigger than the video, which was like, “Holy s**t.”Swyx [00:19:16]: This is actually usable.Diogo Almeida [00:19:17]: It. WellSwyx [00:19:17]: Yeah.Diogo Almeida [00:19:17]: It's, like, beyond that.Swyx [00:19:20]: Yeah.Diogo Almeida [00:19:20]: Like, the. Whew, the launch was crazy, and people could really sense how hard we care about that, and that's truly what I think the long term of this is. And I think public benchmarks are antithetical to this. Like, they are a way to get people trust in intelligence because intelligence has a je ne sais quoi, but the public benchmarks are extremely gameable. Even if they try not to, they still will. Like, back in the old days, every lab had a team to collect data that looks like MMLU to make it look better, which is just benchmarking with extra steps.Diogo Almeida [00:19:58]: So I believe that in the long run, it needs to be vibes and trust until you put it into a workflow and evaluate it for that workflow and measure it and have your own sense of, like, how it does on the exact workflow that matters. And our job is to keep moving the nines of reliability. This is like an ever-present part of o- of what we need to be doing as a company, and we need to do everything to have people know that this is something we care so much about. Like, if we wanted to, we could have released Jev, like, a year and a half ago if we wanted it to be dumb.The Bitterest Lesson: Tasks, Data, and North StarsSwyx [00:20:34]: Oh.Diogo Almeida [00:20:34]: It. Like, the. My bitterest lesson, right? Like, architecture and Yeah.Swyx [00:20:40]: I'll bring it upDiogo Almeida [00:20:40]: Hell yeahSwyx [00:20:41]: Since you, since you talked about it, here.Diogo Almeida [00:20:43]: Hell yeah. T- like, Sutton says that algorithms beats compute very roughly. Data matters way more than compute, obviously. And doing the right task, having the North Star is the hardest, most important thing. This has happened, in LLM land twice so far, right? Maybe 2.2 times. There's RLHF, which, like, shifted the task to instruction following. No one realized that was possible. RLVR did, like, a tiny little, like, edit to the, to the direction, and now us, right? RLCD. We have a new task, and the goal is, programs in the loop. And yeah, data matters soSwyx [00:21:28]: RightDiogo Almeida [00:21:28]: Unbelievably much.Swyx [00:21:29]: SoDiogo Almeida [00:21:29]: Like, I can't, I can't emphasize it less.Swyx [00:21:31]: Yeah, you consider yourself a data lab rather than, like, a model lab. Is thatDiogo Almeida [00:21:35]: AbsolutelySwyx [00:21:35]: Something. That's the wording you guys use?Diogo Almeida [00:21:37]: Yeah. We are. We will always, like, care so much about data. To me, model capabilities means data. Data is so unbelievably complicated, and that is what gets nines. Like, you have no idea how much data can shift everything. Data is so important.TypeSafe as a Data Lab and Synthetic Data StrategySwyx [00:21:57]: Yeah.Diogo Almeida [00:21:57]: Holy crap. So if people are looking for a job, we are hiring infinite data people, actually infinite.Swyx [00:22:04]: What is a good data person? Like, clearly somebody who cares about reading through the transcripts of, whatever. You've said, for example, that y- all your data is synthetic.Diogo Almeida [00:22:15]: Yep.Swyx [00:22:15]: But that's only, like, the scratching the surface, right?Diogo Almeida [00:22:18]: Yeah.Swyx [00:22:19]: Like, it's not. Like, synthetic, so what, right? Synthetic, but we have people with a lot of taste and a lot of care looking at, looking at these, articulating what's wrong, going back, regenerating. Is that what a good data person is these days?Diogo Almeida [00:22:31]: Let me try to figure out how to. Like, it's, it's super complicated, and like, I literally onboard the data people with a Talk that I assume is longer than this podcast will end up being. So I will try to say, like, the high level of it. So number one, we don't do the kind of synthetic data that people ki. Well, I'll do. Actually, number is zero. Data and synthetic data depends on your task. Like, the shape of your data. The shape of your task changes the data. Like, RLVR's data is kind of environments, right?Swyx [00:23:03]: Yes.Diogo Almeida [00:23:04]: RLHF's is the human feedback? Each task has its own unique kind of data, and we, of course, have our own unique kind of data, right? So number one, we have that. Number two, the thing I. The reason why we don't want to train on our users' data, even if we could, right? Like, we could probably ask for any terms right now, and it will. We. I don't know if it would make a difference. We truly don't want that, because no matter what, the real-world data has so much bias. There's, like, a power law of, like, people, like, asking the same things where you'll end up, like, overfitting to it and like, fracturing to it and all of that. And number two, we are, like, aiming for, like, a complete sci-fi future years from now where, like, these models are going to be, like, the general infrastructure, layers and layers and layers and deep down the stack to, like, things people can't even imagine. Like, I would like to think of our model, like, kind of like, UDP as LLMs and TCP as our models. All sorts of stuff can be built on top of that, and we need to be able to nail those futuristic use cases such that software developers can actually build that futuristic stuff. And the way to do that is even if we had all of the data of the present, we would just overfit to the present, and then it wouldn't work. What we need is to, like.Diogo Almeida [00:24:21]: It almost feels like a. Like, they're the artists? They study this cognitive core. Our cognitive core is, like, way less jagged than anyone else's. And then they find the jaggednesses, and then they address them surgically in a way that. And you can never perfectly do this, right? But they do it in such a way that it addresses it in every single possible, like, dimension, past, present, future.Swyx [00:24:45]: The general case rather than the specific case.Diogo Almeida [00:24:47]: Exactly. And like, that requires a lot of intelligence every time.RLCD vs. RLHF: Defining a New TaskSwyx [00:24:50]: Okay, so we mentioned a little bit. You sort of criticized my thinking as r-- like, very RLVR influence, which is, like, very fair. Let us actually mention RLCDDiogo Almeida [00:24:59]: OohSwyx [00:24:59]: Which obviously you have some secret sauces to our knowledge. You've never actually published a paper or anything like that on it. No, right?Diogo Almeida [00:25:05]: No, not yet.Swyx [00:25:06]: But like, what should people get from this? Like, what. Can you give people some confidence that you're just not just making up jargon for the sake of sounding cool, right? Like, one thing for me is, like, calibration I do think is a. To me, like, well understood because we've covered it in. On the podcast.Diogo Almeida [00:25:22]: Yeah.Swyx [00:25:22]: But I don't know what you mean when you say RLCD versus what people are familiar with.Diogo Almeida [00:25:26]: It's a great question.Swyx [00:25:27]: Yes.Diogo Almeida [00:25:27]: And actually, I will give a related question.Swyx [00:25:29]: Okay.Diogo Almeida [00:25:29]: What is RLHF?Swyx [00:25:31]: Okay.Diogo Almeida [00:25:31]: Right? And actually, RLHF means multiple different things, right?Swyx [00:25:34]: Okay.Diogo Almeida [00:25:34]: Like, there's the RLHF of the original. I think it was, like, Paul Christiano teaching a robot to backflip or something like that. Wasn't there somethingSwyx [00:25:42]: Was that it?Diogo Almeida [00:25:43]: That was the originalSwyx [00:25:44]: I referenced the PPO paper, but I don't know.Diogo Almeida [00:25:46]: And so PPO was not necessarily from human feedback, if I recall.Swyx [00:25:51]: Okay. That's trueDiogo Almeida [00:25:52]: But I b- I believe it was, like, an OpenAI alignment work that could teach hard to specify outputs, like a backflip. I'm not 100% sure. And then there was actually learning to summarize. This was work, by a bunch of the team that helped with, instruct-- and co-authored, the instruction following paper, which was teaching, doing PPO on language models.Swyx [00:26:15]: This is the, sorry. I'm trying to, tryingDiogo Almeida [00:26:19]: YeahSwyx [00:26:19]: Trying to manipulate this thing. This is 2017.Diogo Almeida [00:26:23]: Yeah.Swyx [00:26:23]: Right.Diogo Almeida [00:26:23]: I'm not 100% sure, but like, that looks quite right.Swyx [00:26:26]: Yeah.Diogo Almeida [00:26:26]: If it has, like, a robot doing backflips or something like that might be it. Yes. Okay, cool. I guess I got it right. Hell yeah.Swyx [00:26:35]: There you go.Diogo Almeida [00:26:36]: Yeah.Swyx [00:26:36]: That's the one.Diogo Almeida [00:26:36]: So the idea was can, like, can you do, like, ill-specified things with it? So that's, like, version one. Version two was, the learning to summarize work, that, like, OpenAI did, which is actually, like, PPO on language models to do something somewhat ill-specified. This is, like, another thing that people refer to as RLHF Which I did not co-author.Diogo Almeida [00:26:57]: Oh, Dario's there. Cool. Hell yeah.Swyx [00:27:01]: And Radford.Diogo Almeida [00:27:02]: Yeah. Shout-outs to Alec and Ryan. Love them.Swyx [00:27:04]: Yeah.Diogo Almeida [00:27:05]: But the thing that I refer to RLHF is the, Oh, man.Diogo Almeida [00:27:13]: I'll get toSwyx [00:27:14]: You have comments on that, yeah.Diogo Almeida [00:27:15]: I have comments on that paper, but like, we're so many, tangents deep.Swyx [00:27:18]: Yeah.Diogo Almeida [00:27:18]: So the thing that really got. To me, the thing that I'm calling to RLHF is the task of instruction following. It's not about the PPO. That part doesn't matter. It's about, like, setting a North Star of this is a valuable direction. It's kind of like the Bitris lesson North Star.Diogo Almeida [00:27:34]: And for us, RLCD is this new task. And it is not. I don't see it as jargon. Like, I try to communicate with precision. It's just that, “Hey, here's another North Star.” Just like DPO and all of its, like, descendants also do RLHF, despite not using the algorithm in that paper.Swyx [00:27:55]: And so clear- clearly stating the North Star is, being program- programmable AI is one, word that I really catch onto, removing the human in the loop,Diogo Almeida [00:28:06]: YesSwyx [00:28:06]: From. Because RLHF is tuningDiogo Almeida [00:28:09]: YesSwyx [00:28:09]: For this so that you can automate everything.Diogo Almeida [00:28:11]: Yes. Everything that makesSwyx [00:28:13]: Did I miss anything else in the, in the thesis of, like, what the North Star is?Diogo Almeida [00:28:17]: There is. That is. That is right. I'm overly nuanced in my communication. The one nuance is that we need to be practical. We need to be aware of what language models can do really well. Like what AI can do.Diogo Almeida [00:28:30]: Right? Like, there could be programmatic types that are, like, sick AF, but if you. If the technology is not ready for it to. It's not a tragedy if that's not out in the world.Why Programmable AI MattersSwyx [00:28:41]: Yeah.Diogo Almeida [00:28:42]: But to me, like, the pre-Jev world was a tragedy becau-- it sounds arrogant. Hear me out.Swyx [00:28:49]: No. I strongly believe you.Diogo Almeida [00:28:50]: Cool. It sounds arrogant, but like, I felt this way since long before I even had a company.Swyx [00:28:54]: Yeah. I can, I can vouch that,Diogo Almeida [00:28:56]: Yes, I've been talking about this for so longSwyx [00:28:57]: You said this at All Around Her for, like, three years.Diogo Almeida [00:28:58]: Yeah, I've been talking about this for so long. And I've been saying it because I thought it would have been easier. They say they do not do things because they. It. They're easy. They. It's ‘cause they thought it was easy, soSwyx [00:29:08]: Yeah, exactlyDiogo Almeida [00:29:09]: Something like that. I thought it. This whole project would take a week.Diogo Almeida [00:29:13]: And I was unbelievably wrong. So I am so sorry to everyone at OpenAI that I thought. I was like, “Man, I'm solving this right now.” but like, I think that the tragic thing is when. Well, I think overpromise, underdeliver is tragic too. And like, AI is super extreme on that axis. And I think RLVR is, like, the main. Well, both RLVR and RLHF are extreme perpetrators of this.Diogo Almeida [00:29:40]: But like, it. To me, it's like it's just there's just so much potential there. Like, AI is clearly so smart. I l- smart. I love this in my talks, when I ask people, like, “How can AI be so unbelievably smart? How can we, like, solve millennium prize problems in math, but still not automate even the most basics of works?” Like, really basic rote stuff that, like, the. It d- it doesn't take, like, extremely smart people to do this. It's not a satisfying job. Like, there's other things these people could be doing, but yet we need them to do, like, this ba- like, super basic- non- unsatisfying stuff because, like, we can't automate it yet, but we have this, like, supercharged engine of automation that just does not have, like, the right plugs and stuff to plug into all of this economically valuable work. And like, if the whole company of TypeSafe disappears, like, maybe it'll take, like, a year or two for people to, like, truly catch up. I actually don't know how long it'll take. If model quality matters, then we are gonna be in a very good position for a long time. But it, like, it's done, right? Like, there, like, this has changed the path of, like, technological history.Swyx [00:30:49]: Yeah.Diogo Almeida [00:30:49]: And like, we will be exploring that space as a field.Swyx [00:30:53]: Yeah. I think, I definitely agree with that. You've created possibilities. So I think, if I can paraphrase so that people can un- also understand, you should not take the success of TypeSafe and Jev as just like, “Well, that is a new model type. Now we're done. We go back to business.” Like, no. Like, actually, there's, there are, like, five other model types that you should be exploring and like, let a thousand flowers bloom.Diogo Almeida [00:31:15]: Absolutely.Swyx [00:31:16]: Right?Diogo Almeida [00:31:16]: Like, early internetSwyx [00:31:17]: And some of that, some of which you will probably also build.Diogo Almeida [00:31:18]: Of course, yes.Swyx [00:31:19]: Yes.Diogo Almeida [00:31:19]: Early internet energy. I think it's back to tech utopia. It's no longer like, “Oh, man, like, sometimes my coding agents work, but the, all of the best ones are hoarded internally.”Swyx [00:31:29]: Yeah.Diogo Almeida [00:31:30]: Right? It's like creation is back on the menu.Diogo Almeida [00:31:34]: ? Though it's gonna be a wild-ass world, and buckle up.Diogo Almeida [00:31:38]: It's. And I'm so jazzed about that.Manifesto, Launch Strategy, and Early Internet EnergySwyx [00:31:42]: Yeah. And now you have the funding and the momentum to do whatever you envision there, which I, which I think is, like, very gratifying to see you have after, so long of saying these thingsDiogo Almeida [00:31:53]: YeahSwyx [00:31:54]: But actually show the world.Diogo Almeida [00:31:55]: I know. I just. Such a, such an interesting thing to be a tease the whole time. Like, my talk, like, felt like it was a cliffhanger ‘cause I didn't say how the automation would occur.Swyx [00:32:05]: Yeah.Diogo Almeida [00:32:06]: Sean reviewed our manifesto And he's like, “It's a little bit vague in these parts.”Diogo Almeida [00:32:12]: And like, “What's step one? What is, what is the intelligence model?”Swyx [00:32:16]: Well, I asked you for model, and you were like, “Yeah, model coming.”Diogo Almeida [00:32:18]: Yeah.Swyx [00:32:18]: And like, Well, I just, I mainly objected to the word composable But build prod.god is fantastic.Diogo Almeida [00:32:24]: Thank you.Swyx [00:32:24]: Yeah.Diogo Almeida [00:32:25]: I. We've really rallied around that. I'd like to think we're not entirely a cult like some companies are.Diogo Almeida [00:32:32]: But like, we are, like, jazzed about what we're doing, and like, we are. Like, my brand is being practical, and like, we are all, like, so super-duper practical.Swyx [00:32:42]: Yeah.Diogo Almeida [00:32:42]: It's really great.Swyx [00:32:43]: Yeah. So here. And by the way, here is the step, the secret master plan, right?Diogo Almeida [00:32:47]: Yep.Swyx [00:32:47]: Shape, the shape of machine-native composable AI.Diogo Almeida [00:32:49]: It was your idea to make a secret master plan, soSwyx [00:32:51]: It's a, it's that Elon thing. When he started TeslaDiogo Almeida [00:32:53]: YeahSwyx [00:32:53]: He was like, “Here's what we'll do.”Diogo Almeida [00:32:54]: But I did. Yeah. I'm giving official credit to you.Swyx [00:32:56]: Oh, thank you. Thank you, thank you.Diogo Almeida [00:32:56]: Yeah.Swyx [00:32:56]: Thank you. But like, you should've told me your, you're also gonna do this model launch, ‘cause you, like, you told me, you told me half of the story, and then the other half, you didn't have the doom demo at the time.Diogo Almeida [00:33:08]: Yep.Swyx [00:33:08]: You didn't have any numbers to give me.Diogo Almeida [00:33:10]: Yep.Swyx [00:33:10]: I was like, “what?”Diogo Almeida [00:33:11]: Well, the problem is I don't believe in benchmarking.Swyx [00:33:13]: Exactly.Diogo Almeida [00:33:14]: Right?Swyx [00:33:14]: Exactly.Diogo Almeida [00:33:14]: So like, it is a thing that you need to feel, and like, I think that this is the way to build long-term trust, even though it, like, hurt, it hurt us a, us a lot? Like last year when we did fundraise, no one believed us.Diogo Almeida [00:33:27]: ? Like, and they wanted just benchmarks and stuff, and we're like, “We're not gonna do that. We are principled. We're gonna stand by our guns. That rewards bad actors. I don't give a s**t, like, what you want. Like, this is who we are, and we are standing by that.” So Sorry. It's notSwyx [00:33:43]: No, yeah. Well, and in some ways, I think, like, choosing the hard path, it. But you end up making the company that you wanna work in.Diogo Almeida [00:33:49]: Yep.Swyx [00:33:50]: Right? Otherwise, if you sell out, then you're just working in, like, OpenAI but with my people, right? Which is like.Diogo Almeida [00:33:56]: Yeah. Yeah. Like, I'm, I don't have too many regrets on that, obviously.Swyx [00:34:01]: Yeah.Diogo Almeida [00:34:01]: Like, it worked out so unbelievably well. And like, I, The. I was emotional last night when I was talking about, like, the reasons I left OpenAI, and because, like, it actually had to change my wording after the launch. My phrasing was, “If an AI winter did happen and I did not do every f*****g possible thing I could to, like, avert that, I would see myself as personally responsible both for, the RLHF direction, which I think really widened overpromise versus under-deliver, and also not going all in on this because I think this is, this is where value is going to just be, like, printed.” So. And it was really cool because I feel likeDiogo Almeida [00:34:47]: The AI winter I'm worrying about is averted. Like, AI will be useful. It'll be used for automation.Diogo Almeida [00:34:53]: It's been less than a week, and like, the numbers are already undeniableSwyx [00:34:57]: YeahDiogo Almeida [00:34:57]: That it's, like, being used for real work, and like, there's. It's, it's the Wild West. Yeah.Launch Traction, Tokens, Rate Limits, and Developer UsageSwyx [00:35:03]: Yeah. Can you sh- just if you have top of your head, what numbers are you seeing? Like, what's, what's, like, signups? Like, whatever you can share.Diogo Almeida [00:35:11]: I'm actually not super on top of everything. Like, the team is the ones who are telling me all of these things.Swyx [00:35:16]: Yeah, and I'm sure it's, like, changing every day, right?Diogo Almeida [00:35:17]: It's, it's,Swyx [00:35:18]: But likeDiogo Almeida [00:35:18]: It's kinda nutsSwyx [00:35:19]: If there's a milestone that you're like, “Well, yep, that's one thing we were hoping for. We reached it.”Diogo Almeida [00:35:23]: I will say a milestone that we've passed is tokens per day.Swyx [00:35:27]: Nice.Diogo Almeida [00:35:27]: And this is not, like, fleeting tokens per day.Swyx [00:35:32]: Yeah.Diogo Almeida [00:35:32]: This is, like, even at night, like, it's constantly training, so machines are calling it and not just people trying things out.Diogo Almeida [00:35:39]: So that is, That is so cool. A trillion tokens a day is a lot.Swyx [00:35:45]: Yeah.Diogo Almeida [00:35:45]: So surpassing that is awesome. Signups to me don't really matter. And actually, this was, like, a bit of a mistake we made, if I'm, like, totally honest. People on Twitter were calling us, like, marketing geniuses and all of that, and that was just us. We don't have a marketer. Also hiring. And we were just being our genuine, goofy, like, irreverent selves, and we were, we were just, like, offboarding people off the waitlist so hard. - Our platform team is so unbelievably cracked. I think we have more n- up nines of uptime than Anthropic while having the most Unprecedented launch ever. Like, that is kind of nuts, soSwyx [00:36:21]: YeahDiogo Almeida [00:36:21]: Like, props to them.Swyx [00:36:22]: Yeah.Diogo Almeida [00:36:23]: And the thing we didn't realize. So number one, waitlists, waitlist sign-ups don't matter for, like, a developer platform, in my opinion? I would guess that a large number of them are not even developers. So they go in, they try some queries, and a lot of people don't get it because they are not programming, right? Like, they're just like, “What? This is not a chatbot. Where's my ChatGPT 2?”Diogo Almeida [00:36:45]: Right? But if, like. I haven't exactly calculated this. My sense is that if every single human being in the world, like, just wrote a couple of queries, that would be a rounding error compared to, like, one power user's for loop that is just, like, creating value.Swyx [00:37:01]: Yeah.Diogo Almeida [00:37:01]: And the thing we are-- didn't realize with the waitlist is, like, we could just w- off-board anyone off the waitlist. It doesn't matter. The scary part is rate limits. And then once people start getting value from that, then they just want tons and tons of rate limits because this is what software is, right? Like, you spend effort upfront to specify your rote task, and then this rote task creates more value than it takes to put in. And then now that you have thatSwyx [00:37:25]: Set it and forget, yeah.Diogo Almeida [00:37:26]: Exactly, yeah. You run it in the background. You make it a dependency, to, like, other things. You can make, like, higher level stuff. And like, you just create so much value in the world. Early internet people probably did not imagine, like, the wonder of early 2000s internet, which is still not early internet. But like, it's, it's through, no offense, composabilitySwyx [00:37:47]: NoDiogo Almeida [00:37:47]: That all of the crazy stuff happens, and I just really wanted to emphasize that in our manifesto. We are going for emergence. We are going for, like, being the catalyst. We're wanting to empower people, and we are going to do whatever we can for that, be it, like, Discords in our town hall with me wearing a garbage bag or not.Swyx [00:38:05]: And podcasts and Diogo Almeida [00:38:08]: Hell yeahSwyx [00:38:09]: Getting all that.Diogo Almeida [00:38:09]: Absolutely.Swyx [00:38:09]: Like, ‘cause I want the long form, right?Diogo Almeida [00:38:11]: Yeah.Swyx [00:38:12]: It is like, yes, we'll get past the, some of the superficial things, and then we'll go deep andDiogo Almeida [00:38:15]: Hell yeahSwyx [00:38:15]: And people will really trust and understand your mission and like, the people that, will resonate that will end up joining you or, buying you. Or No, but sorry, as a, as a customer.Diogo Almeida [00:38:27]: Oh, as a customer.Swyx [00:38:28]: As a customer, as a customer.Diogo Almeida [00:38:28]: Okay, yeah. That was funny. I'm sorry.Swyx [00:38:30]: Sorry. I didn't, I didn't mean to say that. But no, any-- one version, one very flattering version of this, like, 36 million views of your launch video.Diogo Almeida [00:38:37]: Cool. Up to 38 now.Swyx [00:38:39]: Yeah, rounding error.Diogo Almeida [00:38:40]: Yeah.Swyx [00:38:40]: Navio still has got 74. Fable 5 got 57. So like, as far as, a- and I didn't, I didn't do the stats for, like, original ChatGPT, likeDiogo Almeida [00:38:48]: YepSwyx [00:38:49]: Which there was no video.Diogo Almeida [00:38:50]: Yep.Swyx [00:38:50]: So like, up there, right?Diogo Almeida [00:38:52]: Yep.Swyx [00:38:52]: Like, as far, as far as, like, if you were to launch a Neolab in 2026, I think you're, like, number one right now, which is, like, pretty crazy.Diogo Almeida [00:38:58]: Yeah. Well, I actually would rather. I do have the shirt, like, your favorites Neola-- favorite Neolab's favorite Neolab.Swyx [00:39:05]: Huh.Diogo Almeida [00:39:05]: I don't give a s**t about being a Neolab. I think being a Neolab. Actually, we have a lot of, like, swag that's being a parody of a Neolab. One of them, one of them I have is, like, Neolab with product, which actually is not a Neolab. Like, I don't care about that, really.Swyx [00:39:20]: Yeah.Diogo Almeida [00:39:20]: What I care about is being a reliable dev platform. So Swyx [00:39:23]: YesDiogo Almeida [00:39:24]: Appreciate the comparison, but likeSwyx [00:39:25]: YeahDiogo Almeida [00:39:25]: Hopefully we transcend past them and we go back into, like, a thing-- like, a revolutionary moment for developers and like, this stable thing that people can rely on and trust.Reliability, Robustness, and DeterminismSwyx [00:39:35]: Yes. To that end, I think that's one thing that really impressed me about you guys is that, yes, you do talk about reliability. I thought it was mostly about calibration, which, like, we talk about RLCD. But actually it's also about just, like, uptime and scalability and all those things, right? They're, they're all sort of the kind.Diogo Almeida [00:39:55]: And nines.Swyx [00:39:56]: And nines.Diogo Almeida [00:39:56]: It's, likeSwyx [00:39:57]: Which uptime is, in my opinion.Diogo Almeida [00:39:58]: Oh, but that's part of it. But like, there's reliability in, like, how intelligent the thing is. Like, how consistently does it do the thing that you want? And I think that, like, the big reasoning models are very smart. In my opinion, they still lack reliability. I think there's many use cases where you-- they look like they should be smart enough to automate their work. There is economic incentive to automate that work, yet still they're not reliable enough as, at an intern because they're optimized for different things. And so like, I think that there's the reliability of being able to, like, trust the outputs. And also we are. Like, there are dimensions of reliability that we are not yet at that I'm, like, so excited by.Swyx [00:40:38]: Yeah.Diogo Almeida [00:40:38]: Like, I want to automate the easy work before the hard work? Like, I think that's just a common sense thing to do. But to me, we will be sufficient. I don't know if there's such thing as sufficiently reliable, but I wanna get so good that people don't even need to try the model to know that it'll work. It's like, that's like what flow state is in programming, right? Like, I'm just, like, writing queries because I need intelligence in here. And like, when. For non-trivial branching, I can just write it in like a, like a type-safe System 1 query and then get the results out of it and it just branches accurately. Like, that would be so good. Like, that's the. That is the dream.Swyx [00:41:12]: Yeah.Diogo Almeida [00:41:12]: And that is, like, going to be, like, a long slog.Swyx [00:41:16]: Yeah. We're gonna go into your API design in a little bitDiogo Almeida [00:41:19]: OohSwyx [00:41:19]: Just to give people examples and like, maybe paths not taken, that kind of stuff.Swyx [00:41:23]: One thing up the front that I do wonder about in terms of reliability is I noticed that there's no seed. There's no, And so basically, same input, do I always get the same output?Diogo Almeida [00:41:34]: SoSwyx [00:41:36]: And if not, why not?Diogo Almeida [00:41:37]: Oh, great question. So this is actually, like, a common question we have between. So reliability is actually a catchall. Like, whenever AI can't automate something, it's due to some form of reliability. Could be, like, type safety. It could be determinism. It just could be, like, it's, it's jagged, right? So reliability is a catchall. I just think that it's also a catchall for, like, what the North Star is. Re- determinism is, like, same inputs, same outputs. I do believe that this is, like, slightly interesting for unit tests, but I believe that to be the wrong North Star. I believe robustness is what peopleDiogo Almeida [00:42:16]: I don't wanna tell people what they really want, ‘cause that would be a little arrogant of me.Diogo Almeida [00:42:19]: I believe that is, like, the more important property. You want, given similar inputs, get similar outputs. And it's kind of wild how unreliable LLMs are.Diogo Almeida [00:42:31]: Like, a way that we test this is you put, like, UUIDs in, like littleSwyx [00:42:36]: YeahDiogo Almeida [00:42:36]: I think they're called nonces In the prompt. And what you want is similar outputs from all of those, ‘cause it's truly semantically the same question, and that is the part where you really want. Th- like, that robustness is where, like, people get, like, burnt with AI making decisions. So I think that is the. A super-duper important property. We could also have determinism. That is, that is a thing that can be available. As far as I can, like, mentally model for programmers, like, it, I- it could be valuable for some use cases, so like, please educate me, in comments or view. But my. In general, it's easy. Determinism is something you can, like, trade off for better cost. Like, we are, we are constantly wanting to be on the intelligence per dollar frontier. We are doing, like, absolutely disgusting things to be there. Like, this is,Diogo Almeida [00:43:32]: I shouldn't say this, but no one's here to stop me.Swyx [00:43:37]: If you s- you sign off on your own PR.Diogo Almeida [00:43:40]: That is not how it works at this company. I believe for this week, my chief of staff, Kay, is the most powerful person in tech.Swyx [00:43:49]: Yeah. And shout-out to Kay for organizing this.Diogo Almeida [00:43:50]: Holy shSwyx [00:43:51]: Yeah.Diogo Almeida [00:43:51]: Holy s**t. She is so f*****g competent and powerful. She's incredible.Diogo Almeida [00:43:58]: She sucks. Don't poach her. But so I try to be a bit more filtered, but like, people are telling me, “Don't call it a Frankenstein's monster of models,” but because that has, like, negative implications. I think Frankenstein's monster was, like, the good guy in this whole. It was innocent, right? I didn't read it. Okay.Diogo Almeida [00:44:18]: I'll, I'll confess. Okay. That. Well, one facial expression, ISwyx [00:44:21]: This is aDiogo Almeida [00:44:21]: My cards on the tableSwyx [00:44:21]: Decent Jacob Elordi movie if you wanna seeDiogo Almeida [00:44:24]: ISwyx [00:44:25]: The adaptation. Anyway.Diogo Almeida [00:44:26]: The. You have no idea how little time I have right now.Swyx [00:44:28]: Yeah.Diogo Almeida [00:44:29]: My priorities are sleep?Swyx [00:44:31]: Developers.Diogo Almeida [00:44:32]: Developers, yes. Developers. But yes. It. We do, like, absolutely disgusting things to be on the Pareto curve of intelligence per dollar, and we are going to keep doing that.Swyx [00:44:47]: Yeah.Diogo Almeida [00:44:47]: We're gonna be doing crazy-ass stuff, and I think people really need to think outside of the box. Like, part of the reason we're surprising is, like, people Are thought inside the box, and we continue to do that. As of right now, we are obviously the best at this, and we want to continue being the best at that whole thing.Swyx [00:45:05]: Yeah.Diogo Almeida [00:45:05]: So Wait, where did, where did we tangent from?Swyx [00:45:07]: No. SoDiogo Almeida [00:45:08]: YeahSwyx [00:45:08]: I asked you about, will you have seeds and determinism?Diogo Almeida [00:45:11]: Oh, yes. SoSwyx [00:45:11]: And then you basically defined reliability and likeDiogo Almeida [00:45:14]: And robustnessSwyx [00:45:15]: How you see it. Yes.Diogo Almeida [00:45:16]: But like, determina- likeSwyx [00:45:17]: I have a robustness example that's, that's, real quick I can show you.Diogo Almeida [00:45:19]: I would love that. I will just say one thing.Swyx [00:45:21]: Yeah.Diogo Almeida [00:45:21]: We can make a deterministic model.Swyx [00:45:22]: Exactly.Diogo Almeida [00:45:23]: Like, we're hap- if people can convince us that is a valuable thing to doSwyx [00:45:27]: YeahDiogo Almeida [00:45:27]: And we don't have a gigantic GPU shortageSwyx [00:45:29]: YeahDiogo Almeida [00:45:29]: We can happily make all of these models. We live to please. And rev- and revolt, revolute,Swyx [00:45:38]: You will throw over everything, except you'll do it in a nice way.Diogo Almeida [00:45:41]: Yeah.Swyx [00:45:41]: And findDiogo Almeida [00:45:42]: So like, determinism could be on the cards.Swyx [00:45:44]: Yeah.Diogo Almeida [00:45:45]: It just gets you less intelligence per dollar.Swyx [00:45:46]: Yeah. Well, just having seen the trajectory of OpenAI and Anthropic, you will. Just trust me now that you will be peer pressured into doing it. So like, just people will want it even if they. If you tell them they don't need it. They'll still want it. So like, yeah, that's the TL;DR of that.Diogo Almeida [00:46:01]: Okay.Swyx [00:46:02]: Yeah.Diogo Almeida [00:46:02]: I will love to. Maybe one day we will see how that happens.Swyx [00:46:07]: Yeah.Diogo Almeida [00:46:07]: I've been told I'm, They say that part of our brand is being unshakeableSwyx [00:46:13]: HuhDiogo Almeida [00:46:13]: And they say that's just the nice way of saying stubborn.Swyx [00:46:15]:

Anthropic's "Pace the Frontier" essay set off a week in which nearly every major AI leader, and two heads of state, weighed in on whether the frontier should slow down. Patrick Moorhead and Daniel Newman read the incident as something larger than a safety debate. Whoever sets the pace of the frontier also sets the pace for open-weight models, enterprise custom models, and the trillion-dollar valuations riding on top of them. That contest, not the essay itself, is the through-line of Episode 320 of The Six Five Pod. The handpicked topics for this week are: 1. Anthropic's AI Slowdown: Safety or a Market Power Play? Anthropic asks for a slowdown, regulation, and antitrust waivers so labs can coordinate; Jensen Huang, Mark Zuckerberg, David Sacks, and the U.S. and Chinese governments push back, reframing the issue as ordinary product safety. Daniel argues the slowdown request reads as regulatory capture by two private labs that want to lock in a duopoly before open models and cheaper compute erode model-layer pricing power. Patrick lands on the product-safety frame: test before you ship, keep the testing procedures contained, and avoid an FDA-style regime that would stall deployment. (The Decode) 2. Trilateral safety coordination without the waiver. OpenAI, Anthropic, and Google DeepMind confirm they are coordinating on safety in the same week they disagree on whether they need antitrust protection to do it. Patrick treats the coordination as plan B after the regulatory ask failed to land, and flags the competitive risk to smaller labs and open-source developers if three frontier companies set standards together. Daniel argues self-regulation plus regulators "along for the ride" beats leading with regulation, pointing to Europe as the cautionary case for growth. (The Decode) 3. The frontier sets the pace for open models. Both hosts agree on one point last week's debate largely missed. Open-weight models from China and the UAE match frontier output at a fraction of the cost, but many are distilled from frontier models, so a frontier slowdown slows open source too. Patrick adds that these model makers are also shipping real architectural gains (an 85% KV cache reduction, on-device DeepSeek V4.1 Flash running comparably to a frontier model on Spark hardware), which drives inference cost down regardless of who leads on capability. (The Decode) 4. Dreamforce and the end of the "SaaSpocalypse" narrative. Sam Altman, Dario Amodei, and Jensen Huang all appear at Salesforce's Dreamforce, which Daniel reads as confirmation that systems of record remain the control point for enterprise AI workflows. Salesforce's Agentforce and Data Cloud lines are growing at triple-digit rates. The company is pairing a Claude-based Clawed Force with a multi-model harness, and training its own custom model, Koa, on NVIDIA Nemotron and 30 years of CRM data. Patrick sees Koa as the week's underappreciated signal: enterprise software vendors building on open weights instead of renting frontier intelligence. (The Decode) 5. OpenAI pulls even in developer traffic. OpenRouter data cited by Gavin Baker shows OpenAI climbing from roughly 20% to 50% of API share versus Anthropic since June, and Signal65's Pinnacle benchmark now places Gemini and Grok above Anthropic's latest model on several enterprise personas. Patrick credits OpenAI's early compute lock-in for the swing. Daniel's takeaway is that leadership rotates every few months, which means the model is a shrinking moat and compute, energy, and distribution are the durable ones. (The Decode) 6. AI Infra Summit: CPUs re-enter the conversation. NVIDIA presents Signal65 data on its main stage showing Vera running 1.64x faster per core than the leading shipping x86 processor, even as NVIDIA hedges with Intel on head nodes. AWS commits to more NVIDIA capacity despite owning its own silicon, and co-packaged optics, networking, and memory optimization dominate the floor. Patrick notes a bipartisan ratepayer protection measure on data center energy costs arriving the same week, an early sign that power politics will shape build-out timing. (The Decode) 7. The Flip: Is OpenAI worth $1.2 trillion pre-IPO? Daniel argues yes: a $40 billion run rate, a 41% step-up in six months, investors initiating the round, and a safety regime only the largest labs can afford all favor incumbents. Patrick argues no: historic cash burn, second place in revenue behind Anthropic, a higher cost of capital as rates rise, an IPO slipping to 2027 that puts part of Amazon's committed capital at risk, and open models cutting inference costs by 90%. The disagreement narrows to one question: whether a slowdown at the top protects or erodes the economics of a company priced for acceleration. (The Flip) 8. Doomer sell-off flips into a chip rally. Semiconductors reverse a safety-headline sell-off into a sharp mid-week rally, shrugging off oil and rate pressure along the way. Daniel frames every "end of AI" narrative as a buying window and adds a Jevons-style twist: safer models require more training runs, which means more compute demand, not less. (Bulls & Bears) 9. Salesforce clears the model and still falls. Salesforce reaffirms $63 billion of revenue by fiscal 2030, beats Street models by $3.8 billion, and shows current AI ARR above $1.5 billion growing more than 240% year over year, yet the stock declines. Patrick reads the drop as a show-me story on target history rather than on AI itself. Daniel, in the room, points to a same-day platform outage, dependence on Anthropic, and pressure to prove cost-per-task economics across the model landscape. (Bulls & Bears) 10. Nebius raises prices into scarcity. Nebius lifts pricing more than 20% across H100, H200, and Blackwell capacity, with Vera to follow, a move Daniel treats as direct evidence that compute constraint, not demand, is the binding variable for neoclouds. CoreWeave trades in the same range on the same concern: adjusted EBITDA is not cash, and reinvestment intensity stays high through 2030. Patrick favors Nebius's vertical integration, since building its own infrastructure sets it apart from peers renting theirs. (Bulls & Bears) For a deeper dive into each topic, please click on the links below. Be sure to subscribe to The Six Five Pod so you never miss an episode. The Decode Dario Amodei's "Pace the Frontier" essay produces a rare industry realignment — Zuckerberg and Jensen publicly reject the framework https://darioamodei.com/post/we-must-pace-the-frontier OpenAI, Anthropic, and Google DeepMind confirm active trilateral coordination on AI safety https://www.bloomberg.com/news/articles/2026-09-15/openai-says-it-s-working-with-anthropic-google-on-ai-safety Dreamforce 2026 launches Agentforce 360 as Salesforce's next platform release https://x.com/danielnewmanUV/status/2099928644521210079 https://investor.salesforce.com/news/news-details/2026/Announcing-Koa-Salesforces-First-CRM-Reasoning-Model-Built-on-NVIDIA-Nemotron/default.aspx OpenRouter API traffic data reveals OpenAI clawed share back from Anthropic — 20% → 50% since June, Anthropic dropped 80% → 50% https://x.com/GavinSBaker/status/2100240010695827959?s=20 AI Infra Summit 2026: NVIDIA Vera CPU with Signal65 1.64x agentic benchmark + AWS commits to 2M additional NVIDIA GPUs in 2027-2028 https://signal65.com/research/ai/validating-nvidia-vera-on-agentic-cpu-workloads/ https://www.techtimes.com/articles/327645/20260917/house-voted-417-3-make-data-centers-pay-electricity-costs-states-can-still-say-no.htm Signal65 PINNACLE Results https://pinnacle.signal65.com/articles/pinnacle-first-results/ Patrick's Open Model Forbes' Article https://www.forbes.com/sites/patrickmoorhead/2026/09/11/open-weights-are-not-open-source-and-it-matters-now-in-the-boardroom/ The Flip OpenAI's $1.2 trillion pre-IPO private valuation remains justified after the past week's AI Doomer news. FOR: OpenAI is worth the $1.2 Trillion https://www.reuters.com/legal/transactional/openai-mulls-funding-round-12-trillion-valuation-ahead-ipo-ft-reports-2026-09-15/ AGAINST: OpenAI is NOT worth the $1.2 Trillion https://www.cnbc.com/2026/09/16/fed-rate-decision-september-2026.html Bulls & Bears ETR Large Enterprise Survey https://x.com/ETRnews/status/2100929354310058447 Stocks are ripping again — Sept 17 tech-led rally reverses the AI-doomer selling of Sept 14-15 https://x.com/danielnewmanUV/status/2099469881594802643 Salesforce ($CRM) hosts investor day at Dreamforce Sept 16, reaffirms $60B+ FY30 revenue target https://investor.salesforce.com/news/news-details/2025/Salesforce-Announces-New-FY30-Revenue-Target-of-60B-10-Organic-FY26-FY30-CAGR/default.aspx Nebius (NBIS) $60B market cap vs $15B 2028 EBITDA + no free cash flow until after 2030 — Futurum Equities frames the neocloud valuation debate against the Fed hike + Sept 17 rally https://x.com/FuturumEquities/status/2099477646547534193  

Eddie Jordan. Muž, který do Formule 1 přinesl něco, co se nedalo koupit penězi – drzost, show a pořádnou dávku rock'n'rollu.Ještě než založil vlastní tým, závodil, prodával koberce, načerno se propašoval na Velkou cenu v Silverstone a jednou se málem vzdal závodění kvůli vážnému zranění. A když se konečně dostal do F1, rozhodně nehodlal hrát podle pravidel ostatních.Jeho tým objevil Michaela Schumachera. Jenže o něj Eddie přišel po jediném závodě. Kvůli jednomu slovu ve smlouvě. A o pár let později se kvůli Schumacherovi znovu rozvířily vody kolem jeho týmu – tentokrát kvůli Michaelovu mladšímu bratrovi Ralfovi, který byl po sezoně 1998 z Jordanu vykoupen.Tohle je příběh Eddieho Jordana. O člověku, který ručil za svůj sen vlastními domy, dokázal porazit mnohem bohatší týmy a z Formule 1 udělal show, na kterou se nezapomíná.Keith O'Loughlin - Eddie Jordan: Na plný plyn na stránkách Slovartu: https://www.slovart.cz/eddie-jordan-na-plny-plynObrázky k tématu dané epizody najdete zde:  https://www.instagram.com/za_horizontem_podcast/

4 - Balázsék őrült Cipős Kvíze a Deichmann támogatásával by Balázsék

00:00 - 6 óra 28:40 - Új karrier 50 felett: ezeknek a feltételeknek kell megfelelned az easyJetnél, ha stewardess akarsz lenni 44:32 - Közzétették Dzsudzsák Balázs levelét, amelyben diplomata útlevelet kért Szijjártótól 1:23:53 - Balázsék őrült Cipős Kvíze a Deichmann támogatásával 1:42:17 - Újabb konyhásnénit kapott lopáson a gyömrői polgármester

It’s the end of the world and we know it… CPI numbers – HOT – Markets think hit a top – or just options Friday? Sell Rosh Hashana and Buy Yom Kippur? Plenty of AI PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? PayPal.Donation.Button({ env:'production', hosted_button_id:'JJJHP2GDEJC7J', image: { src:'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt:'Donate with PayPal button', title:'PayPal - The safer, easier way to pay online!', } }).render('#donate-button'); Follow John S. Dvorak on X Follow Andrew Horowitz on X Warm-Up - Follow Up - I am the House! - 10YR shot above 5% on Monday - Follow Up 2 - Straight of Hormuz - NO Boats passing (can we please stick to the facts?) - CPI numbers - HOT - Markets think hit a top - Let's talk end of the works - Cyberdyne IRL Markets - 100% Probability of a rate hike this week - Sell Rosh Hashana, Buy Yom Kippur - HACK ETF - Cybersecurity name up 49% YTD DHU MAILING LIST! - Go to DHUnplugged.com FED HIKE IS BACK - Fed meets Tuesday-Wednesday, with a 25 bp hike to 3.75%-4.00% now the dominant expectation. - 85% of economists surveyed expect a hike; futures moved to roughly 90% odds after the latest inflation data. - August CPI rose 0.4% month-over-month and 3.4% year-over-year; core rose 0.3% for the month and 2.4% annually. - Markets are increasingly pricing additional tightening beyond September rather than this being a one-and-done move. AND -> THE 5% TREASURY IS BACK - The 10-year Treasury yield briefly crossed 5% Monday for the first time since 2023. - Higher oil prices, hotter inflation, heavy bond supply and expectations for more Fed tightening are all pushing yields higher. - The move raises the hurdle rate for stocks while feeding directly into mortgages, corporate borrowing and other credit. - Bonds are becoming meaningful competition for equities again at a time when stock valuations remain elevated. SLOW DOWN THE AI - Anthropic CEO Dario Amodei called for deliberately slowing frontier-model advancement to create more time for safety controls. - Sam Altman and Elon Musk publicly backed the push for more caution; Microsoft separately released a draft AI code requiring models to remain under human control. - Microsoft says its models must accept shutdowns and corrections and should not be designed around claims of consciousness or legal rights. - The semiconductor index dropped more than 5% Monday; Nvidia, Broadcom, Micron and AMD were among the major casualties. DEEPSEEK CHANGES THE MEMORY MATH - DeepSeek's latest architecture sharply lowers the amount of memory required to run inference, including a major reduction in KV-cache requirements. - This is not simply HBM being replaced by SSD: the architecture reduces both high-speed memory and persistent-storage requirements per inference. - That complicates the straight-line thesis that every incremental AI token requires proportionally more HBM and storage. - Micron, Samsung and SK Hynix still benefit from enormous AI memory demand, but will efficiency gains become an important counterweight to unlimited-demand forecasts? V4V - What is it and how can you participate? TOKENS - A Quick Tutorial ORACLE SAYS THE AI SPENDING IS REAL - Oracle booked more than $30 billion of new AI cloud contracts during the quarter, taking total backlog to $664 billion. - Revenue rose 30% to $19.3 billion and adjusted EPS came in at $1.92 versus $1.74 expected. - Oracle spent $28.5 billion on capex, but about $11.36 billion was offset by customer prepayments. - Most new AI orders use prepayments, customer-owned hardware or similar arrangements, reducing the amount Oracle itself must finance. AI STOCKS MEET THEIR FIRST REAL NARRATIVE PROBLEM - The Philadelphia semiconductor index dropped roughly 5.4% Monday even though it remains up about 58% for the year. - Nvidia fell roughly 2.6%; Broadcom, Micron and AMD were each down around 4% during the session. - The new concern is not whether AI works, but whether safety restrictions could slow the pace of model releases and infrastructure spending. - Software names including Adobe, ServiceNow and Workday initially benefited as investors reconsidered how quickly AI might disrupt incumbent software. CHATGPT INVENTS THE WITNESSES - A New Mexico defense lawyer was fined $5,000 and held in contempt after submitting fabricated police testimony and nonexistent witnesses generated by ChatGPT. - The attorney had used ChatGPT to summarize trial proceedings and failed to verify the output before filing it with the court. - The appeal was reassigned to a public defender and the attorney was referred for further disciplinary review. - This goes beyond fake case citations: the system generated supposed factual evidence and attributed it to witnesses who did not exist. HUMANOID ROBOTS: FROM IPO MANIA TO THE BATTLEFIELD - China is researching humanoid robots for reconnaissance, logistics, hazardous missions and potentially urban combat. - Separately, Chinese regulators are tightening scrutiny of humanoid-robot IPOs after extreme volatility surrounding Unitree Robotics. - Unitree shares reportedly fell roughly 45% after initially increasing fivefold following its listing. - Hyundai-owned Boston Dynamics also said a 2027 IPO is unlikely; Hyundai wants production capacity of roughly 30,000 robots annually by 2028. CHINA GETS ACCUSED OF INDUSTRIAL-SCALE AI COPYING - U.S. officials accused six Chinese AI companies, including DeepSeek, Moonshot and Alibaba, of using U.S. models for large-scale distillation. - Distillation trains smaller models using outputs from more powerful models, dramatically reducing development cost and time. - U.S. officials said the activity targeted technology from Anthropic, OpenAI, Google and SpaceX. - China rejected the allegations and argued that distillation is a normal industry technique also used by American companies. OIL BACK ABOVE $100 - Brent traded around $107 Monday and WTI around $103 after fresh attacks on Saudi infrastructure and Middle East shipping. - Saudi Arabia's East-West pipeline was temporarily disabled, threatening a route capable of carrying roughly 4% of global crude supply. - Gulf states postponed planned talks with Iran over the Strait of Hormuz as regional tensions widened. - Physical crude prices are becoming highly location-dependent: barrels with secure export routes command major premiums while trapped grades trade at steep discounts. COPPER GOES VERTICAL - Copper has recently traded near record territory around $14,500-$14,700 per metric ton. - Tight mine supply is colliding with demand from electric grids, data centers, renewable power and other electrification projects. - Tariff uncertainty has also distorted flows as traders move available metal toward markets offering the highest prices. - Copper's surge makes proposed mining combinations such as Anglo American-Teck increasingly valuable; that roughly $54 billion deal is still awaiting Chinese regulatory approval. THE BIG MYSTERY BANK SANCTION - Treasury Secretary Scott Bessent said the U.S. would sanction a large bank as part of increased financial pressure on Iran. - He initially declined to identify the bank or its country. - The campaign has already targeted oil, shipping, finance, aviation, weapons procurement and digital-asset channels connected to Iran. - The market question is whether secondary sanctions begin touching larger banks or companies outside Iran that facilitate trade. APPLE'S $1,999 FOLDING BET - Apple launched the iPhone Duo, its first folding iPhone, priced at $1,999. - It opens to a 7.6-inch display and represents one of Apple's biggest changes to the iPhone form factor in years. - The launch puts Apple directly into a market dominated by Samsung and Huawei and could help push foldables beyond their current niche. - It is also arriving during a severe memory-and-storage chip shortage that has already forced higher pricing elsewhere in Apple's product lineup. PRIVATE CREDIT REDEMPTION PRESSURE EASES - Investors in BlackRock's $23.1 billion HPS Corporate Lending Fund requested withdrawals equal to about 11.5% of shares, down from 13.3% the prior quarter - BUT, is this just a rounding error? - The fund will repurchase only 5%, the normal quarterly limit, leaving some redemption requests unfilled. - Other BlackRock private-credit vehicles also showed lower withdrawal requests during the quarter. - Private-credit investors have been worried about lending standards and heavy exposure to software companies potentially disrupted by AI. DID WE DISCUSS >>> THE $50 BILLION DATA-CENTER IPO - SB Energy is reportedly seeking a valuation above $50 billion despite having no operational data centers. - It reported about $139 million of first-half revenue against a $3.21 billion net loss. - The company claims roughly $439 billion of project backlog. - OpenAI is an investor, warrant holder and major future customer; Nvidia is also providing capital while supplying the chips. - Soooooo...... No operating data centers, billions in losses and a possible $50 billion valuation. At least they remembered to build the valuation first.   Love the Show? Then how about a Donation? PayPal.Donation.Button({ env: 'production', hosted_button_id: 'JJJHP2GDEJC7J', image: { src: 'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt: 'Donate with PayPal button', title: 'PayPal - The safer, easier way to pay online!' } }).render('#donate-button-2'); THE CLOSEST TO THE PIN for SpaceX (SPCX) Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!   FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Kvällens program bjuder på 2st biopremiärer och två streamingpremiärer. I den pulshöjande biofilmen PRESSURE med Andrew Scott & Brendan Fraser får vi ta del av planeringen inför landstigningen vid Normandie. Även kallad dagen D. Superaktuell på bio från och med fredag. Vi har också spanat in Mark Wahlberg & Yahya Abdul-Mateen II på bio. En mafia-torped och en FBI-agent jagar medlemmar från klanen som brände kors i Missisippi på 60-talet. De båda bildar en liten hemligt grupp som opererar där polisen ej kan nå. Mark Wahlberg har en ovanligt stor näsa i denna film, Denna nya biofilm heter BY ANY MEANS.  Vi vänder oss till Amazon Prime och kollat in när Gal Gadot får löpa genom Londons gator när en okänd man har kidnappat hennes son. Hon ställs inför ett fruktansvärt uppdrag. Filmen heter THE RUNNER. Tomas har också spanat in en 80-tals-inspirerad action/komedi med Ryan Reynolds och Kenneth Branagh. En amerikansk pilot störtar innanför Rysslands gräns och blir räddad av en rysk före detta kgb-agent. Och denna ryss vill inget hellre än leva som en amerikan. Filmen MAYDAY hittar man på Apple TV. Dessutom pratar Thomas om de blu-ray aktuella filmerna OBSESSION och BILLIE EILISH : HIT MED HARD AND SOFT: THE TOUR. Det blir en fullproppad timme fylld med filmtips. Nu åker vi!

Ny midweek och som det smällde igår! Marcelos take på spelarna som behöver ta steg framåt för Real Madrid att kunna gå för alla titlar, Bylunds startande mittfält i Liverpool, Gyökeres börjar ta Maguires plats som en meme & vad är egentligen De Zerbis plan? Medverkande: Christoffer Svanemar, Robin Bylund & Marcelo FernandezViva Fotboll görs i samarbete med ATG:Gå med i Viva Fotbolls Tillsammanslag på ATG, där vi varje helg skickar in en välkalibrerad Big 9-kupong där vi försöker fälla någon av dom stora favoriterna för att stå där med miljongarantin på ensam vinnare med 9 rätt. Här har ni laget: https://www.atg.se/tillsammans/inbjudan/XKZI-CGTW-319315/tDhBPMy5pbFG8uzq%3AaJrSG_tO82Uf1mO6Zm4Fpw%3A7b2V4nqE-g4m1k4fuwZJ3VAKVv-2dCMKgw?gameId=BIG9_2025-08-23_725344240_2060735806Du hittar alltid dom senaste tripplarna, andelarna, Big 9 och annat från oss på https://www.atg.se/k26/18+ Regler & villkor gäller. Stödlinjen.seViva Fotboll görs i samarbete med TV4 Play:Unikt erbjudande ger dig som lyssnare som vill ha möjligheten att ta del av all sport på TV4. Just nu får du 50% rabatt på paketet TV4 Play Sport då du använder koden VIVAFOTBOLL26. Rabatten ger dig möjligheten att se på Allsvenskan, Superettan, Serie A & utvalda matcher från Liga Portugal för enbart 224,50 kr/mån i 3 månader, utan bindningstid. Utöver det serier, film, tennis, rally, hästhoppning och mycket annat.Följ länken för att ta del av erbjudandet: https://www.tv4play.se/kampanj/vivaSaily:Viva Fotboll görs i samarbete med Saily. Ladda ner Sailyapppen i app store. Använd koden Viva vid checkout så får du 15% rabatt på ditt första köp!https://saily.com/vivaKontakta redaktionen: linus@k26media.seVill ditt företag samarbeta med Viva fotboll? freddie@k26media.seSociala Medier:Instagram - https://www.instagram.com/viva_fotboll/Twitter - https://x.com/vivafotbollTikTok - https://www.tiktok.com/@vivafotbollTidskoder:00:00 Intro01:29 Real Madrid19:40 Ceuta-situationen23:41 Valencia25:46 Kvällens matcher i La Liga27:17 Liverpool-Tottenham46:41 Arsenal58:20 Avrundning Hosted on Acast. See acast.com/privacy for more information.

Denne episode indeholder reklame for Danish Crown. Anders og Henning har besøg af Torben Nørremark fra Danish Crown til en snak om den sidste del af rejsen fra jord til bord. Hvorfor importerer vi stadig oksekød, når dansk kød står stærkt, og hvilken rolle spiller detailkæderne i forhold til at få mere dansk kød i køledisken? De vender også Nature Beef, naturpleje og mulighederne for at skabe et koncept, hvor både biodiversitet, landmandens økonomi og forbrugernes ønsker kan gå op i en højere enhed. Og så bliver der nørdet slagtedyr, kødkvalitet og hvorfor den største bøf ikke nødvendigvis er den nemmeste at sælge. I Kødkvæg i fokus sætter vi fokus på dansk kødkvæg – fra hverdagen i stalden til de store linjer i branchen. Serien tager fat på alt fra management, avl og kalvning til naturafgræsning, afsætning, økonomi og livet omkring kødkvæget. Med afsæt i praksis, erfaringer og faglig viden giver vi plads til både nørderi, holdninger og nuancer, så kødkvæget kan blive belyst fra flere vinkler. Kødkvæg i Fokus er støttet af Kvægafgiftsfonden.

4 - Őrült Cipős Kvíz a 25 éves Deichmann támogatásával by Balázsék

00:00 - 6 óra 27:39 - Munkahelyi kiégés és újrakezdés 1:04:14 - Egy erőnléti sportoló verseny közben a nadrágjába ürített, majd rezzenéstelenül folytatta tovább 1:23:42 - Őrült Cipős Kvíz a 25 éves Deichmann támogatásával 1:39:42 - Petíció indult Pilisszentléleken, hogy a népszerű sorozat, *A mi kis falunk* forgatása a településen maradhasson - vonalban "Teca kocsmájának" tulajdonosa

Matthew 6:31-33Vision Sunday Part 2 Jim unpacks KV's new vision for the next 3 years (read more at www.kingdomvineyard.com/vision), exploring practically what it will look like for KV to be becoming a church that seeks first the Kingdom of God, by being with Jesus, becoming like Jesus, and doing what Jesus does.

Lynn welcomes Dr. Brad Buckley (R-Salado) who represents District 54 in the Texas Legislature.  Dr. Buckley is a key supporter of “Texas Education Freedom Accounts” and is looking to the next legislative session to bolster literacy programs in Texas schools.  Rep. Buckley says the State of Texas can turn districts around when they fail, and points to examples.  We talk about failing districts like Houston, Austin, Waco, and Fort Worth and about the language barrier in the classroom and how to fix it, as well as LGBTQ sex manuals in school libraries.  We also visit about the 25th anniversary of 9/11, data centers, the Ten Commandments in schools, wokeness, the 765-kV transmission lines, and the danger of electing far-left politicians such as James Talarico. 

Apple představil skládací iPhone, ani tentokrát nás ale nepřesvědčil, že je stále inovátor. Během slavnostní prezentace nejprve ukázal sluchátka AirPods 5, která jsou mírně levnější než předchozí generace, navíc ale obsahují ANC. Je to solidní upgrade. Hodinky Watch Series 12 a Ultra 4 díky novým sportovním funkcím dohnaly Garmin a aspoň nezdražily. iPhony naopak mezigeneračně zdražují razantně. Čím vyšší model si vyberete, tím víc si připlatíte. Nabízejí lepší foťáky, rychlejší nabíjení a schopnější procesor. Zaujalo nás předělané chlazení, díky němuž si telefon déle udrží vysoký výkon. Všechno je to fajn, ale pokud vlastníte loňský nebo předloňský iPhone, nový model si nejspíš odpustíte. Poslední a největší novinku představuje iPhone Duo. Kvůli únikům nás Apple nepřekvapil. Telefon je pěkně zpracovaný a přechodové animace působí skvěle, ale skládací telefony se na trhu objevují již několik let. Apple neukázal nic, co bychom dříve neviděli jinde. Jsme přiměřeně zklamaní tak, jak jsme to očekávali. Program pořadu 04:02 – AirPods 5 06:10 – Watch Series 12 a Ultra 4 16:40 – iPhone 18 Pro a Pro Max 28:04 – iPhone Duo

Það styttist í jólabókaflóðið, hægt og bítandi fara nýskrifaðar bækur að koma í bókabúðir sem er alltaf tilhlökkunarefni. Nú er komin út glæný bók eftir Þorgrím Þráinsson rithöfund sem heitir Ég kom til að gráta. Bókin fjallar um mann á miðjum aldri sem er í tilvistarkreppu og fer til Ólafsvíkur í leit að sjálfum sér. Hvaða afleiðingar hafa áföll í æsku, brotin sjálfsmynd, brestir í hjónabandi eða óttinn við að horfast í augu við sjálfan sig. Þorgrímur kom í þáttinn í dag. Í vikunni var áhugaverð frétt á ruv.is um að fundist hefði 255 ára skildingur sem náttúrufræðingurinn Sveinn Pálsson átti og hafði komið fyrir í vörðu af grjóti í Kvískerjum í Öræfum og Sveinn skrifaði í ferðabók sinni frá árinu 1794 að hann hefði einmitt komið téðum dönskum eirpeningi fyrir í vörðu. En í framhaldi af þessari frétt vildum við kynna okkur aðeins betur hver þessi maður, Sveinn Pálsson náttúrufræðingur var? Það vill svo skemmtilega til að væntanleg er sjö binda heildarútgáfa á verkum hans og Kristjan B. Jónasson bókmenntafræðingur er einn þeirra sem hefur unnið að útgáfu bókanna og hann kom í þáttinn í dag og fræddi okkur um þennan stórmerkilega mann, ferðir hans um landið og hans ævistarf. Svo var það vísindaspjallið með Eddu Olgudóttur. Í dag fræddi hún okkur um leðurblökur og þann eiginleika þeirra að geta borið veirur í sér án þess þó að sýkjast sjálfar af þeim. Og það getur einmitt verið talsvert hættulegt fyrir okkur mannfólkið. Tónlist í þættinum í dag: Það vantar spýtur / Olga Guðrún Árnadóttir (Ólafur Haukur Símonarson) Söknuður / Roof Tops (Oldham & Penn, texti Stefán G. Stefánsson) Rock'n roll öll mín bestu ár / Brimkló (Johnson, texti Þorsteinn Eggertsson) Styttur bæjarins / Spilverk þjóðanna (Spilverk þjóðanna) UMSJÓN: GUNNAR HANSSON OG GUÐRÚN GUNNARSDÓTTIR

This week I heard some fabulous AI news. I promise you'll understand the good news.Context-to-Weights (C2W) Compilation, turning massive, expensive prompts into a tiny, static weight matrix, dropping the heavy KV cache entirely, and never paying the compute tax to re-read that context again.P.S. September 22, 2026 is when we are having a pre-Mastery training that starts on October 7, 2026. Mentioned in the show:Significant Breakthrough - C2WRegistration is open for the next cohort of the AI Visibility Mastery 12-month course. We are committed to the success of our members.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vizzex.ai/ai-visibility-mastery/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wordpress registration⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ HubSpot registration⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Symmetry vs Asymmetry Single Variable Test⁠⁠⁠https://www.youtube.com/watch?v=TkPi-J54bow⁠⁠⁠Test #2 - Is passing Symmetry alone without schema sufficient? ⁠⁠⁠https://www.youtube.com/watch?v=YUkwfboMpiQ⁠⁠⁠Last week's episode:⁠⁠⁠⁠ ⁠⁠⁠⁠The SEO Identity Crisis: Doing The Same Thing Expecting Sam Results⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Symmetry Gate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - check the "cost" of your content for AI models to extract informationSubscribe to Confessions of an SEO™ wherever you get your podcasts. Your subscribing and download sends the message that you appreciate what is being shared and helping others find Confessions of an SEO™An easy place to leave a review ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podchaser.com/podcasts/confessions-of-an-seo-1973881⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You can find me on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Carolyn Holzman⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠American Way Media⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Google Directly⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AmericanWayMedia.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Consulting AgencyNeed Help With an Issue? - reach out Text me here - 512-222-3132Music from Uppbeathttps://uppbeat.io/t/doug-organ/fugue-stateLicense code: HESHAZ4ZOAUMWTUA

Věděli jste, že k největším květům v rostlinné říši byste si určitě rádi nepřivoněli? Květ parazitické raflézie Arnoldovy může měřit v průměru přes jeden metr a pronikavý zápach zkaženého masa, který vydává, jí vynesl přezdívku „mrtvolný květ“.

Věděli jste, že k největším květům v rostlinné říši byste si určitě rádi nepřivoněli? Květ parazitické raflézie Arnoldovy může měřit v průměru přes jeden metr a pronikavý zápach zkaženého masa, který vydává, jí vynesl přezdívku „mrtvolný květ“.

Are soaring AI compute costs slowing down your startup scaling efforts? Join us as we sit down with Junchen Jiang, CEO of TensorMesh, to reveal how his groundbreaking KV cache optimization can slash your AI inference expenses by up to 80 percent.   In this highly technical and insightful episode of Born in Silicon Valley, we explore the rapidly evolving landscape of self-hosted large language models. Junchen explains the mechanics behind KV cache, why traditional GPU memory limitations bottleneck AI performance, and how offloading this data can dramatically improve efficiency for enterprise applications, coding agents, and chatbots.   We also dive into Junchen's personal journey transitioning from leading a PhD research group at the University of Chicago to building a venture-backed startup in the Bay Area. He shares valuable leadership lessons, the differences between motivating academic researchers versus industry engineers, and what it takes to build a world-class team in today's competitive tech ecosystem.   Whether you are a tech founder, a forward-deployed engineer, or an enterprise leader looking to optimize your AI infrastructure, this conversation is packed with actionable insights on building the next big data layer for artificial intelligence.   Chapters 00:00 Introduction to Junchen Jiang and TensorMesh 02:00 The origin story of KV cache technology 10:07 How KV cache reduces inference costs by 10x 14:54 Building industry-ready systems from research 19:59 Open source community and industry adoption 25:11 Business model and monetization strategies 29:47 Team building and leadership lessons 40:06 Market opportunities and customer segments 44:55 Future vision for AI data layers   Host: Jake Aaron Villarreal leads the top AI recruitment firm in Silicon Valley, www.matchrelevant.com, uncovering stories of funded startups and going behind the scenes to tell their founders' journeys. If you are growing an AI startup or have a great story to tell, email us at: jake.villarreal@matchrelevant.com

Ceny plynu stoupají a evropské země zatím nenaplnily své zásobníky. Asi nejhůře je na tom Německo. Kvůli krizi na Blízkém východě ale roste i cena pohonných hmot, meziročně výrazně zdražila také elektřina. Máme se bát zdražování? Hostem Ptám se já byl bývalý generální ředitel české pobočky E.ON a zakladatel společnosti Sinlei Martin Záklasník. Pokud bude nadcházející zima mimořádně chladná, zásoby plynu v Německu mohou být nedostatečné, varoval dnes tamní svaz provozovatelů zásobníků plynu. Ty budou podle něj na začátku listopadu v nejlepším případě plné ze 77 procent. Na začátku září byly plné zhruba z poloviny, což byla pro toto období nejnižší úroveň zaznamenaná od začátku sledování zásob před 15 lety. Obchodníky s plynem obvykle k plnění zásobníků motivují nižší ceny mimo zimní sezonu. Letos ale ceny plynu výrazně zvýšil konflikt na Blízkém východě, který začal koncem února. Plnění zásobníků navíc brzdily i naděje, že konflikt se podaří brzy vyřešit a ceny plynu opět klesnou. To se ale zatím nestalo. Evropská unie loni zavedla systém povinného každoročního doplňování zásobníků jako pojistku proti budoucím výpadkům. Připravenost jednotlivých evropských zemí se letos zatím výrazně liší. Podobně nízké zásoby jako Německo hlásí třeba i Nizozemsko a Belgie. V Česku byly podle ministerstva průmyslu a obchodu zásobníky na začátku září naplněny téměř ze 70 procent. Zásoby jsou ovšem zhruba o pětinu nižší než před rokem. Ministerstvo ale slibuje, že plynu by mělo být pro nadcházející zimu dostatek. Jak rizikové jsou nízké zásoby plynu pro průmyslovou zemi, jako je Česko? A jak je na tom Evropa z hlediska závislosti dodávek z krizových světových oblastí? -- Podcast Ptám se já. Rozhovory s lidmi, kteří mají vliv, odpovědnost, informace. Sledujte na Seznam Zprávách, poslouchejte na Podcasty.cz a ve všech podcastových aplikacích. Archiv všech dílů najdete tady. Své postřehy, připomínky nebo tipy nám pište prostřednictvím sociálních sítí pod hashtagem #ptamseja nebo na e-mail: audio@sz.cz.

Vision Sunday Part 1Jim (Senior Pastor) & David (Secretary to the Trustees) introduce KV's new Vision Sunday with a look at "where we've been": how the church has been doing for the last couple of years (including many pie charts!), before introducing the vision for "where we're going".

Hvis man har fulgt med i nyhederne i denne uge, er det nok ikke gået forbi en, at kvælstofloven, der har til formål at mindske landbrugets udledning af kvælstof, har været til afstemning i Folketinget. Kvælstofloven har givet anledning til megen debat, men hvad er det egentlig, der gør, at den har skabt så meget uro i landbruget?  Det og meget andet vil ekspertpanelet, der i dag består af Karsten (forskningschef), Otto (analysechef) og Mia (cheføkonom og underdirektør), diskutere.  Eksperterne vil også drøfte danskernes holdning til differentieret moms samt, hvorfor patienter ender som kastebolde i sundhedsvæsenet.  Til sidst vil ekspertpanelet selvfølgelig kåre Ugens Skævert og Ugens Lyspunkt.  Dagens emner: Landbrugets politiske økonomi – bag uroen Meningsmåling – hvad mener danskerne om differentieret moms  Patient-ludo i sundhedssektoren – it's the economic incentives, stupid Ugens Skævert Ugens Lyspunkt  Links https://eavis.jyllands-posten.dk/p/jyllands-posten/02-09-2026/a/200-000-patienter-bliver-afvist-af-sygehusene-de-praktiserende-laeger-kalder-situationen-utalelig/2671/2443818/75355106  https://cepos.dk/artikler/arbejdspapir-93-udvikling-i-aktivitet-og-ressourceforbrug-pa-de-offentlige-sygehuse/https://cepos.dk/wp-content/uploads/2026/07/Notat-sygehus-bureaukrati_Endelig-1.pdf?_ck=a5456e926606124    https://www.dst.dk/da/Statistik/emner/borgere/sundhed/sygehusbenyttelsehttps://www.berlingske.dk/kronikker/vi-diskuterer-overvaagning-helt-forkert-det-afgoerende-er-ikke-om-teknologien-virker-men-hvor-graensen-gaar? https://politiken.dk/danmark/art10958957/Det-skulle-jeg-ikke-have-sagt 

Tři sta kilometrů severně od polárního kruhu leží na břehu ledovcového fjordu Ilulissat pohřebiště obyvatel dávno zaniklých inuitských vesnic. Náhrobky tu nenajdete. Kvůli erozi a tání permafrostu se ale lidské ostatky postupně dostávají na povrch.

Věděli jste, že nejen rostliny, ale i některé dřeviny poprvé vykvetou až po mnoha letech života? Květ, a následně semena, jsou pro velkou část rostlin hlavním způsobem rozmnožování.

Tři sta kilometrů severně od polárního kruhu leží na břehu ledovcového fjordu Ilulissat pohřebiště obyvatel dávno zaniklých inuitských vesnic. Náhrobky tu nenajdete. Kvůli erozi a tání permafrostu se ale lidské ostatky postupně dostávají na povrch.Všechny díly podcastu Zápisník zahraničních zpravodajů můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

Věděli jste, že nejen rostliny, ale i některé dřeviny poprvé vykvetou až po mnoha letech života? Květ, a následně semena, jsou pro velkou část rostlin hlavním způsobem rozmnožování.

Philipp Wyss wollte Sportlehrer werden. Stattdessen machte er eine KV- und eine Metzgerlehre. Heute führt er die Coop-Gruppe mit fast 100'000 Mitarbeitenden. Wie schafft man es von der Berufslehre an die Spitze? Was braucht es ausser Fleiss und Ausdauer? Ist eine solche Karriere heute noch möglich? In «Focus» spricht Philipp Wyss mit Judith Wernli über seinen Weg nach oben und über Menschen, die ihm entscheidende Türen geöffnet haben. Pauschale Urteile über die junge Generation ärgern ihn – insbesondere der Vorwurf, die Jungen wollten keine Verantwortung übernehmen. Wenn ihm heute Bewerberinnen und Bewerber gegenübersitzen, stellt Philipp Wyss ihnen immer dieselbe Frage: «Was haben Sie zwischen 15 und 20 gemacht?» ___________________ Habt ihr Feedback, Fragen oder Wünsche? Wir freuen uns auf eure Nachrichten an focus@srf.ch – und wenn ihr euren Freund:innen und Kolleg:innen von uns erzählt. ____________________ «Focus» ist ein Podcast von SRF - Host: Judith Wernli - Angebotsverantwortung: Anita Richner _____________________ «Focus» ist der SRF-Talk, der Tiefe mit Leichtigkeit verbindet. Nirgends lernt man Persönlichkeiten besser kennen.

The news of Texas covered today includes:Our Lone Star story of the day: U.S. House Speaker Mike Johnson was in Texas yesterday campaigning for Republican Congressional nominees and said that the Trump Agenda is on the ballot. But that may indeed be the problem with the redistricted seats where Trump won big two years ago, today Trump's approval rating is terrible in these areas. Link to poll.Our Lone Star story of the day is sponsored by Allied Compliance Services providing the best service in DOT, business and personal drug and alcohol testing since 1995.Lubbock ISD trustees vote to raise property taxes on citizens instead of cutting spending.Wildfire update. Ross Fire scorches 85,000+ acres, second-largest in North Texas history (we haven't been able to accurately track the size of these things for very long.)Oil and gas rig count rises this week in Texas but only by one.The famed Texas Rangers, oldest profession law enforcement force in North America, get a new chief.Federal judge dismisses Fort Worth Muslim's lawsuit over principal reassignment.PUC approves routes for first 765-kV power lines in Texas despite much objection.Listen on the radio, or station stream, at 5pm Central. Click for our radio and streaming affiliates.www.PrattonTexas.com

Förtidsröstningen i Sverige har öppnat! Kvällspasset sänder live från Göteborgs stadsbibliotek med programledarna Sarit Monastyrski, Christer Lundberg och Rasmus Persson. Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Under sändningen pratar vi med flera lyssnare runt om i landet, följer förstagångsväljaren Samreens resa till valurnan och kollar läget i kön till röstlokalen. Vi får också besök av bland andra Chalmers sångkör som bjuder på sång och statsvetaren Maria Tyrberg som svarar på frågor om förtidsröstning. Vad händer till exempel om man ångrar sin röst?

Episode 4210 │ August 25, 2026 Anthropic admitted degrading their own AI's output quality to comply with EU watermarking law. Mike Adams says that changed the entire race. WHAT THIS EPISODE COVERS  Scott Kesterson sits down with Mike Adams for their first conversation in a year, opening with the oracle versus librarian framework both have independently arrived at — AI as a tool for research and task execution, never as a divine verdict-giver — and using the Chinese farmer Wu's destroyed sesame crop as the case study for why blaming AI rather than human accountability misdiagnoses every failure. Adams delivers the most significant claim of the interview: Anthropic publicly admitted to watermarking all model outputs under EU law by statistically biasing token selection, a technical concession that provably reduces output quality, while China's DeepSeek, Qwen, and other open-published models have pulled ahead of the US frontier labs specifically because Chinese companies shared their research openly instead of hoarding it as classified defense technology. The conversation closes on the sovereign computing model both are independently building — desktop AI on AMD's Strix Halo chip, open-weight models run locally on solar power, and a coming economy where owning hardware and generating your own energy matters more than money, because decentralized cognition is, in Adams's words, the single greatest threat to globalist control of what people are allowed to know. KEY QUESTIONS ADDRESSED  What did Anthropic publicly admit about watermarking their AI model outputs to comply with EU law — and why does Mike Adams argue this technical concession provably reduces the quality of every response, even for US domestic users who never consented to it? How did China overtake the US in the AI race — and why does Adams argue that China's strategy of openly publishing research papers and sharing innovations like sparse attention mechanisms and KV cache compression across companies proved more effective than the secrecy-driven US model treating AI as classified defense technology? What is the sovereign computing model Scott and Mike Adams are both building — and why does running open-weight AI models locally on solar-powered hardware represent, in Adams's words, decentralized augmented cognition and the single greatest threat to globalist controllers who have always sought to limit public access to knowledge? ABOUT BARDSFM BardsFM is a daily independent podcast covering faith, liberty, history, and information warfare. Hosted by Scott Kesterson — combat veteran, documentary filmmaker, and rancher. Over 4,100 episodes and 50 million lifetime downloads. New episodes every weekday. bards.fm This episode was researched and produced under the Spatial Terra Intelligence Methodology (STIM v5) — the analytical framework built by Scott Kesterson — with AI-assisted research synthesis at a 70/30 human/AI authorship ratio, fully disclosed. All analysis, conclusions, and editorial judgments are those of Scott Kesterson. BardsFM's archive includes hundreds of episodes on prayer, scripture, and walking the Way of Christ — available free in the full episode catalog. DOWNLOADS Citizen's Guide - Community Organizing Against Data Centers: click here Citizen's Guide - Auditing Automatic License Plate Readers: click here Citizen's Guide - Auditing Your State's Driver License Data: click here AFFILIATE LINKS Bards Nation Health Store: www.bardsnationhealth.com MYPillow promo code: BARDS >> Go to https://www.mypillow.com/bards and use the promo code BARDS or... Call 1-800-975-2939.  EMPShield protect your vehicles and home. Promo code BARDS: Click here Treadlite Broadforks...best garden tool EVER. Promo code BARDS26: TreadliteBroadforks.com EnviroKlenz Air Purification, promo code BARDS to save 10%: www.enviroklenz.com Morning Intro Music Provided by Brian Kahanek: www.briankahanek.com Founders Bible 20% discount code: BARDS >>> TheFoundersBible.com Windblown Media 20% Discount with promo code BARDS: windblownmedia.com White Oak Pastures Grassfed Meats, Get $20 off any order $150 or more. Promo Code BARDS: www.whiteoakpastures.com/BARDS Mission Darkness Faraday Bags and RF Shielding. Promo code BARDS: Click here DONATIONS: If you wish to support this podcast directly you can donate here... DONATE: Click here MAILING ADDRESS: Xpedition Cafe, LLC Attn. Scott Kesterson 591 E Central Ave, #740 Sutherlin, OR  97479

Neste episódio da Série Virtudes, Danilo Gomes e o professor voluntário José Roberto, da sede de São Caetano do Sul, refletem sobre o altruísmo como motor da evolução humana. O altruísmo nasce conosco ou pode ser desenvolvido por meio da educação e da experiência? A partir dessa questão, o diálogo percorre diferentes perspectivas filosóficas e estudos sobre a natureza humana, refletindo sobre a cooperação e a generosidade como elementos importantes do desenvolvimento humano. Ensinamentos de filósofos e sábios de diferentes épocas ajudam a compreender a necessidade de superar uma visão centrada exclusivamente nos interesses individuais e ampliar progressivamente a consciência do "eu" para o "nós". Da família e dos grupos mais próximos à sociedade e à humanidade como um todo, o exercício da generosidade nos permite reconhecer que fazemos parte de uma realidade maior. A filosofia apresenta-se, assim, como um caminho para desenvolver valores humanos e transformar pensamento, sentimento e ação. Ao cooperar conscientemente e colocar nossas melhores qualidades a serviço dos demais, contribuímos para o bem coletivo e também para nosso próprio desenvolvimento interior. Participantes: José Roberto e Danilo Gomes Trilha Sonora: Mozart — Sinfonia nº 40, KV 550 Conheça a Nova Acrópole: https://nova-acropole.org.br Entre em contato conosco: https://nova-acropole.org.br/podcast

At the FMS 2026 Conference, discussions centered on the AI supercycle and its impact on the IT industry, particularly through HBM and DRAM shortages. Innovations like KV cache offload and MRAM advancements were also highlighted. Despite rising prices, demand for memory remains high, especially for AI applications.

Och så frågar vi oss hur mycket droger Sommar i P1 tål och fördjupar oss i den tuppfäktning som uppstår när en journalist intervjuar en annan journalist. Lyssna på alla avsnitt i Sveriges Radios app. Kvällstidningen bryter ny markPå måndag morgon är det dags. Radio Aftonbladet ger sig ut på outforskad mark, när den röda sändningslampan tänds på Sveriges första reklamfinansierade radionyhetskanal. Många höjde på ögonbrynen redan när det stod klart att Aftonbladet i slutet av förra året gav sig in i kampen om ett av de tre så åtråvärda, och numera väldigt mycket billigare, nationella sändningstillstånden. Är analog radio verkligen rätt framtidshäst för mediehuset att satsa på? Mediemyndigheten verkade i alla fall tro på Aftonbladets vision och gav dem NRJ:s tidigare tillstånd.Så nu är det alltså upp till bevis.Vår reporter Edvin Ek åkte ut till den nystartade redaktionen och togs emot av Cajsa Lindberg, konsult, programledaren Alex Letic och tidningens publisher Lotta Folcker.Joel Kinnaman fick inte lägga ut texten om ”plant medicine”Efter en lugn och skandalfri säsong fick Sommar i P1 äntligen igång en liten snackis nu i veckan, när den svenske Hollywoodskådisen i programmet berättade att Sveriges Radio stoppat honom från att dela med sig av sina positiva drogupplevelser. Rimligt eller fjantigt?Joanna Korbutiak ringde upp programmets ansvarige utgivare Emma Boëthius och Leonidas Aretakis, chefredaktör för Flamman och författare till boken Extas i folkhemmet – Sveriges psykedeliska historia.Robinsonkritiken som fick Treutiger att tappa tålamodetI den femte och sista delen av vår sommarserie Dålig stämning i studion tar vi med dig tillbaka till sommaren 1997, och ett klassiskt exempel på den tuppfäktning som lätt kan uppstå när en journalist ställs mot en annan journalist.Robin Jonsson gör sitt bästa för att mäta sig med programledaren och journalisten Harald Treutiger.

Jak na první pohled nelogické spojení úspěšně funguje na našich cestách. - O několik týdnů napřed jsou stromy v českých lesích. Kvůli suchu a horku začaly už teď shazovat listí. Lesníci sčítají i ztráty na jarních sazenicích, Kolik procent mladých stromů uhynulo třeba v brněnských městských lesích? - Máte rádi kávu? Vědci už mají po desetiletích sporů jasno - je nebo není pro zdraví škodlivá? - Co všechno by se mohlo vyrábět z mořských řas? A můžou nahradit materiály vyráběné z fosilních zdrojů? Moderuje Štěpánka Martanová.