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Au programme :OpenAI, Perplexity et même Proton : ils profitent de l'été pour continuer à lancer toujours plus de solutions par intelligence artificielleVibe coding et no code : des possibilités toujours plus grandes de faire du développer sans saisir de ligne de code… pour toujours plus de risques ?Réflexion de l'été : les smartphones sont-ils de parasites ?Infos :Animé par Guillaume Vendé (Bluesky, Mastodon, Threads, Instagram, TikTok, YouTube, techcafe.fr)Co-animé par Benoît Curdy (X, Niptech)Co-animé par Baptiste Freydt (X, Niptech)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 627 – Les agents IA ne prennent pas de vacances---Liens :
Unser heutiger Gast wurde in Dresden geboren, studierte Computerlinguistik in Leipzig und Saarbrücken und promovierte später an der Stanford University – betreut von keinem Geringeren als Andrew Ng und Chris Manning. Seine Dissertation wurde als beste Informatik-Promotion ausgezeichnet. Nach Stationen bei Microsoft und Siemens gründete er sein erstes Unternehmen: MetaMind, ein Deep-Learning-Startup, das 2016 von Salesforce übernommen wurde. Dort war er anschließend Chief Scientist, leitete große Forschungsteams und trieb die KI-Strategie des Konzerns maßgeblich voran. Heute ist er Gründer und CEO von you.com, einer KI-basierten Suchmaschine, die als datenschutzfreundliche, transparente und anpassbare Alternative zu klassischen Anbietern auftritt, mit einem starken Fokus auf Nutzendenkontrolle und verantwortungsvoller KI. Zudem investiert er über seinen Fonds AI+X in KI-Startups weltweit. Seine wissenschaftlichen Arbeiten zählen zu den meistzitierten im Bereich NLP und Deep Learning, über 170.000 Mal, und viele seiner Ideen haben die Entwicklung heutiger Sprachmodelle mitgeprägt. Ein herzliches Dankeschön an Adrian Locher, CEO und Gründer von Merantix, für die Vermittlung dieses Gesprächs. Seit über acht Jahren beschäftigen wir uns in diesem Podcast mit der Frage, wie Arbeit den Menschen stärkt, statt ihn zu schwächen. In 500 Gesprächen mit über 600 Menschen haben wir darüber gesprochen, was sich für sie geändert hat, und was sich noch ändern muss. Wie können wir verhindern, dass KI-Systeme nur effizienter, aber nicht gerechter werden und worauf kommt es bei der Gestaltung wirklich an? Welche Rolle spielt Transparenz, wenn es um Vertrauen in KI geht, besonders in sensiblen Anwendungen wie Suche, Bildung oder Arbeit? Und was braucht es, um KI so zu entwickeln, dass sie unsere Fähigkeiten erweitert, statt sie zu ersetzen? Fest steht: Für die Lösung unserer aktuellen Herausforderungen brauchen wir neue Impulse. Daher suchen wir weiter nach Methoden, Vorbildern, Erfahrungen, Tools und Ideen, die uns dem Kern von New Work näherbringen. Darüber hinaus beschäftigt uns von Anfang an die Frage, ob wirklich alle Menschen das finden und leben können, was sie im Innersten wirklich, wirklich wollen. Ihr seid bei On the Way to New Work – heute mit Richard Socher. [Hier](https://linktr.ee/onthewaytonewwork) findet ihr alle Links zum Podcast und unseren aktuellen Werbepartnern
Neste episódio do Product Guru's, Paulo Chiodi conversa com Iago Maciel, especialista em produto com passagens por Ambev e experiências atuais no Vale do Silício. Iago compartilha sua jornada de reinvenção profissional, onde mergulhou no ecossistema de IA em São Francisco para entender como a inteligência artificial está moldando o futuro dos produtos digitais.A conversa aborda temas como segurança em produtos de IA, mudanças de mentalidade na gestão de produtos, o papel controverso do “Product Builder”, estratégias para integração de times técnicos e jurídicos, e como os PMs podem se tornar mais estratégicos. Iago também compartilha ferramentas práticas, como o uso de dados sintéticos, evaluations e o uso do Manus para pesquisas complexas. Um episódio indispensável para quem quer liderar na nova era da tecnologia.// Onde encontrar o convidado: Iago Macielhttps://www.linkedin.com/in/iagomsouza/// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasilhttps://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos: A segurança em IA precisa ser discutida desde a concepção do produto. PMs devem parar de delegar completamente dados e segurança aos times técnicos. Produtos com IA demandam novas formas de validação, como evaluations. Dados sintéticos ajudam no treino de modelos mesmo sem base real. Prompt injection é uma ameaça real para produtos com IA. O PM moderno precisa entender do modelo de negócio e do P&L. A função “Product Builder” é mais buzzword do que papel real no Brasil. A IA está democratizando o desenvolvimento de produtos, mas exige direção. O uso de ferramentas como Manus acelera pesquisas e benchmarking. PMs devem liderar a estratégia de adoção de IA nas empresas, não só seguir tendências./// Capítulos00:00 Abertura01:30 Sabático no Vale: por que largar tudo e estudar IA02:36 Eventos e aprendizado com o ecossistema de startups03:49 O hype dos engenheiros de IA e o mercado atual05:41 Segurança em IA: por que ninguém fala sobre isso08:07 Mentalidade de produto na era da IA10:40 Casos de uso, riscos e prompt injection13:04 Estratégias de dados e feedback loops em IA14:48 O risco real de modelos de IA mal treinados17:21 Casos jurídicos e discriminação por IA nos EUA18:31 A polêmica do Product Builder22:55 Diferença entre maturidade de PMs no Brasil e EUA27:42 O que o PM precisa desaprender com IA32:20 O “jogo do Tigrinho” das automações e uso consciente36:09 A pandemia e a perda de protagonismo do PM38:32 Como se tornar um PM mais estratégico com IA41:00 Como usar IA como mentor de negócios43:23 A importância da curiosidade como soft skill46:41 Liderança de adoção de IA nas empresas48:01 Como conversar com jurídico, segurança e engenharia52:40 Ferramentas práticas e dicas de prompt55:37 Uso avançado do Manus para pesquisa multistep58:22 Encerramento e links úteis na descrição
In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation. Featuring:Igor Nikitin – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Nice TechnologiesSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalai
Dave, Esmee, and Rob take a moment to look back on the wild ride that was Season 4—revisiting the themes that sparked the biggest conversations and the guests who left a lasting impression. They also reveal what's on their summer to-do lists and drop a few juicy hints about what's coming in Season 5. Get ready—it's going to be even bigger and bolder.Thank you to all our listeners and guests for joining us in Season 4 - have a great summer and we will see you in September!TLDR:00:40 Season 4 by the numbers – and a fun mix-up with round figures03:20 Reflecting on standout topics and memorable guests03:42 Scaling AI: Hyperscaler narratives, tech momentum, and the adoption gap13:18 Ethics in the AI era – how organizations can and must stay grounded18:12 The human factor: Why “human-in-the-loop” matters more than ever27:29 Sovereignty in tech – geopolitics, shifting narratives, and the rise of Sovereign AI37:16 A deep dive into Telco – highlights from our dedicated mini-series53:48 2025 tech trends with Gene Kim55:33 Listener Q&A: Daniel Delicate on Cynefin vs. IT operating models1:01:44 Andrea Kis on keeping humanity in fast-paced tech1:06:09 Ezhil Suresh on how we prep and record our podcast with top-tier guests1:11:38 John Eaton-Griffin on how guests have shaped our thinking1:17:19 A word from our co-host1:19:57 Looking ahead to Season 5: AAA episodes, new industry mini-series, and Hyperscaler events1:22:09 Meet our new AI companions: Substack and the Cloud Realities chatbot1:23:40 What's next for us this summerHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
Dein Körper verbrennt Kalorien schon beim Essen ohne Sport – das kann nur ein Makronährstoff: Eiweiß. Bei Proteinen entstehen durch die aufwändige Verdauung bis zu 30 Prozent der Kalorien allein durch den thermischen Effekt. Das hilft dir, deinen Stoffwechsel anzukurbeln und Fett zu verlieren, während du dich satt fühlst. Lerne in dieser Episode, wie das genau funktioniert.
Neste episódio especial do "Joca Responde", Paulo Chiodi entrevista Joaquim Torres — referência nacional em gestão de produtos digitais — para responder dúvidas reais enviadas anonimamente pela comunidade.O programa aborda temas cruciais como o papel do Product Manager júnior, o uso de inteligência artificial no discovery, as armadilhas do "2 em 1" no mercado de produto e até dicas valiosas para quem deseja fazer uma transição de carreira da área de desenvolvimento para produtos.Joca compartilha suas experiências práticas em empresas reais e dá conselhos diretos sobre como agir frente às mudanças do mercado, como entregar valor com mais agilidade e como evoluir dentro da área de produto. Se você trabalha com produto digital, agilidade ou quer entrar nesse universo, este vídeo é essencial para entender como gerar impacto real com tecnologia!/// Envie suas perguntas para o JocaQuer ter sua pergunta lida e respondida pelo Joca Torres no próximo Joca Responde? Acesse o link abaixo e envie as suas perguntas!https://forms.gle/PSMHoiYaRs52WD1R8/// Onde encontrar os convidados:Joca Torres | Founder & Principal Consultant @ Gyaco:https://www.linkedin.com/in/jocatorres/// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasilhttps://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos:• Conversas reais com usuários ainda são insubstituíveis no discovery.• A IA pode acelerar análises, mas não substitui a empatia humana.• O mercado está exigindo profissionais mais completos e adaptáveis.• Scrum Master dedicado por squad já é visto como modelo ultrapassado.• OKRs não devem limitar o tempo de discovery; rapidez e impacto são chave.• É possível fazer discovery em horas usando protótipos e testes rápidos.• A transição de carreira exige estudo, prática e exposição intencional.• PMs juniores devem assumir produtos menores para aprender na prática.• O foco do produto deve sempre ser resultado — para o cliente e para a empresa.• Market research deve considerar dados, IA e principalmente a voz do usuário./// Onde encontrar a Product Guru's:WhatsApp: https://whatsapp.com/channel/0029Va7uwHS5fM5U0LIatu3XX (antigo Twitter): https://twitter.com/product_gurusLinkedIn: https://www.linkedin.com/company/product-guru-s/Instagram: https://www.instagram.com/product.gurus/
Au programme :Cette semaine je vous propose un épisode "crossover" pour découvrir mon autre podcast, le RDV Jeux.C'est l'épisode 370, où on traite de la stratégie de Microsoft / Xbox, de l'équation impossible entre gros jeux gamers et jeux mobiles, et de nos jeux du moment. Enjoy!Plus d'infos : https://frenchspin.fr/2024/10/microsoft-na-quune-solution-rdv-jeux/Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel Beja---Liens :
Neste episódio do Product Guru's, Paulo Chiodi recebe Cheila Portela, cofundadora da Prototipe AI, para uma conversa prática e profunda sobre prototipação de agentes de inteligência artificial (IA). Com muito bom humor e clareza, Cheila explica como times de produto e UX podem criar agentes de IA funcionais e eficientes sem escrever uma linha de código, focando em comportamentos, instruções e orquestração, não em programação. A conversa revela os erros mais comuns cometidos na criação desses agentes e oferece insights sobre como lidar com a natureza probabilística das LLMs, garantindo resultados consistentes mesmo sem domínio técnico profundo.Ao longo do episódio, Cheila compartilha cases reais, mostra a ferramenta Prototipe AI na prática, e revela como estruturar fluxos com memória, lógica condicional e chamadas de API de forma simples e eficaz. O papo também aborda a importância de métricas como custo por execução e taxa de aprovação e desconstrói a ilusão de que criar agentes em ferramentas como N8N em “5 minutos” é suficiente para produção real. Se você trabalha com produtos digitais, IA generativa ou busca formas reais de inovar com eficiência, este episódio é essencial.// Onde encontrar a convidada: Cheila Portela | Cofounder @ Prototipe AIhttps://www.linkedin.com/in/cheilaportela/// Conteúdos mencionados:Prototipe AI - https://www.prototipe.ai//// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de Vibe Coding do Brasil https://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos:• Prototipar agentes de IA é diferente de prototipar telas por causa da natureza probabilística das LLMs.• Agentes de IA podem ser construídos sem código, usando ferramentas especializadas.• Processos repetitivos e estruturados são ideais para aplicar IA inicialmente.• Ferramentas como Zapier e N8N são úteis, mas não substituem plataformas de prototipação.• O maior desafio é arquitetar bem os prompts e fluxos, não escrever código.• Testes e iteração com feedback são essenciais para atingir bons resultados.• Métricas como custo por execução e taxa de aprovação são cruciais.• Prototipação ajuda a evitar retrabalho e código desperdiçado.• Ferramentas próprias como Prototip.ai aceleram o processo e organizam o ciclo de feedback.• A área de produto tende a liderar esse processo, mas hoje a demanda vem mais da tecnologia./// Capítulos00:00 Abertura 01:40 Origem do nome “Prototipe.ai”02:30 Diferença entre prototipar tela e prototipar agente de IA05:20 Recados06:55 Primeiros passos para quem quer prototipar um agente de IA09:45 Quando (não) usar ferramentas como N8N e Zapier12:10 Exemplo prático de automação com agentes no RH15:10 Demonstração da ferramenta Prototipe.ai17:50 Como testar, ajustar e iterar o comportamento dos agentes22:00 Estrutura de agentes conversacionais e máquina de estados25:10 Fluxos com memória, lógica e integração via API32:10 Métricas para mensurar sucesso de protótipos de IA36:52 Diferença entre prototipar e já ir para produção41:22 Quem mais se beneficia com o uso da Prototipe.ai44:10 Equilíbrio entre fidelidade e velocidade no protótipo47:30 Como encontrar a Cheila e conhecer a plataforma
A startup brasileira Avra criou um modelo fundacional próprio de IA para apoiar clientes do mercado financeiro a analisar e conceder crédito para PMEs. A startup já captou US$ 2 milhões em financiamento de venture capital e foi reconhecida, pela AWS, como uma das três empresas mais inovadoras da América Latina na criação de modelos fundacionais. Viviane Meister, CEO, e Bruno Alano, CTO, ambos cofundadores da Avra, explicam o que fazem e provam que o Brasil pode, sim, competir globalmente no terreno da IA.Links do episódio:O site da AvraA página do LinkedIn de Viviane MeisterA página do LinkedIn de Bruno AlanoPessoa inspiradora: Shivani Siroya, fundadora e CEO da Tala, a startup de microcrédito que entrou para a lista de 2025 das 50 Top Fintechs globais da Forbes.O blog/livro "Neural Networks and DeepLearning", criado por Michael NielsenO livro "The Master Switch: The Rise and Fall of Information Empires", de Tim WuO livro "Visionários", de Steven JohnsonO livro "Inteligência artificial a nosso favor: Como manter o controle sobre a tecnologia", de Stuart Russell A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter
The rise of structure software fueled globalization by streamlining operations across borders. Now, Cloud and AI are accelerating this momentum, enabling faster innovation, smarter decision-making, and scalable growth. By modernizing ERP with intelligent technologies, organizations can stay agile, competitive, and ready for the next wave of global transformation.This week, Dave, Esmee and Rob talk to Timo Elliott, Innovation Evangelist at SAP, to explore how SAP is driving globalization—and how organizations can accelerate innovation through the power of Cloud and AI. TLDR00:55 Introduction of Timo Elliott02:40 Rob shares his confusion about misleading online ads08:06 In-depth conversation with Timo46:32 Rethinking control in enterprise systems1:00:00 Brunch at a Paris café or joining an event?GuestTimo Elliott: https://www.linkedin.com/in/timoelliott/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:ROS - Robotic Operating SystemGazeboHugging Face Agents CourseSwarm Robotics | WikipediaChris's definition of Swarming:Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.© 2025 Chris BensonSponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
Au programme :Le parcours de Jeff, de la France et l'informatique aux États-Unis et l'investissementInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Jeff ClavierProduit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode626 - Spécial : Portrait de Jeff Clavier---Liens :
Neste episódio do Product Guru's, Paulo Chiodi conversa com Guilherme Gonzalez, referência em Design Systems no Brasil, sobre como ele usou inteligência artificial para criar, do zero, um Design System real, escalável e pronto para uso — em apenas 5 dias.Você vai descobrir como ele estruturou prompts, integrou ferramentas como Figma, V0.dev e Cloud Code, e aplicou tokens exportados via plugin para gerar componentes funcionais. O episódio é uma verdadeira aula prática sobre como aliar IA ao design de produto de forma estratégica e eficiente, com reflexões importantes sobre maturidade no design, a relação entre designers e tecnologia, e como construir frameworks aplicáveis à realidade brasileira.// Onde encontrar o convidado: Guilherme Gonzalez | Especialista em Design + AIhttps://www.linkedin.com/in/guigonzalez/// Conteúdos mencionados:https://futurism.com/ai-agents-failing-industryhttps://futurism.com/professors-company-ai-agentshttps://v0.dev/chat/ai-ds-experience-J9gcGFoFwCphttps://www.untitledui.com/https://guigonzalez.github.io/design-system/https://github.com/guigonzalez/design-systemhttps://dareframework.com.br/https://www.linkedin.com/pulse/como-trabalhar-com-vibe-coding-sem-virar-ref%25C3%25A9m-da-ia-gui-gonzalez-yzvhf/// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasilhttps://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos: Guilherme Gonzales criou um design system funcional com IA em apenas 5 dias. A IA foi usada como parceira de criação, não apenas como ferramenta. Prompts bem estruturados foram cruciais para resultados de qualidade. Tokens exportados do Figma foram integrados ao sistema com precisão. Usar IA exige clareza, contexto e paciência, não é só copiar prompt. Guilherme desenvolveu um framework próprio (DER) para uso de IA no design. O designer precisa ser mais estratégico e assumir protagonismo. Design System não é só do designer, é produto, código e cultura./// Capítulos00:00 Introdução00:46 Apresentação de Guilherme Gonzalez04:47 Primeiros testes com IA e design system06:00 Falhas na primeira versão e aprendizados08:20 Criando botão com boas práticas e tokens10:30 Como a IA interpretou os componentes12:27 Integração com Figma e exportação via plugin14:32 Exportando tokens do Figma para JSON17:40 O papel da IA como parceira de trabalho19:00 Processo de estruturar tokens e prompts22:48 Como a experiência influenciou no sucesso24:48 A diferença entre biblioteca e design system real26:09 IA e velocidade vs. qualidade no design29:16 Testando limites da IA em projeto pessoal33:12 Estrutura de prompts inteligentes36:00 As 10 lições sobre uso consciente da IA38:54 Aplicando IA com documentação e Storybook44:00 Testando JSON de 14 mil linhas no Cloud Code48:15 Aplicação prática de IA no dia a dia do designer56:33 Aprendizados ao vivo e erros com IA58:42 Apresentação do framework DER para IA no design01:03:51 Design System como produto real nas empresas01:08:48 Maturidade do design e das empresas no Brasil01:14:00 Limitações de cursos e o papel do contexto01:19:12 A real valorização do design nas empresas
Are we on the brink of advertising becoming too smart for its own good, or is Deep Learning finally getting us closer to what customers actually want? Agility requires us to constantly evaluate how technology like AI reshapes the relationships between brands and consumers—sometimes for better, sometimes for far more complex. The advertising landscape is shifting under our feet, with new rules, new tech, and frankly, a lot of new guesswork.Today we're going to talk about how Deep Learning and AI are impacting advertising effectiveness, personalization, and the future of advertising—with or without cookies. To help me discuss this topic, I'd like to welcome Jaysen Gillespie, VP, Global Head of Analytics and Product Marketing at RTB House. About Jaysen Gillespie Jaysen is a Southern California analytics pro with 15+ years in tech leadership. Currently holding the position of VP, Global Head of Product Marketing and Analytics at RTB House, he turns data into insights that drive relevant decisions. He is an experienced speaker and content creator, simplifying complex ideas and making them easily consumable and applicable. For Jaysen, analytics isn't just interesting—it's essential. Resources RTB House: https://www.rtbhouse.com https://www.rtbhouse.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150" Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company
GreenOps is a cultural transformation that empowers developers to turn emissions data into meaningful action, bridging the communication gap with ESG teams and exposing the critical truth that cloud cost and carbon cost are not the same, which fundamentally reshapes how we approach sustainable IT.This week, Dave, Esmee and Rob talk to James Hall, Head of GreenOps at Green Pixie, to unpack the real state of GreenOps today—and why we've only just scratched the surface. TLDR 01:57 Rob is confused about AGI 06:11 Cloud conversation with James Hall 22:10 Esmee as media archeologist, found GreenOps is 50 years old 30:46 Having some drinks in the summer Guest James Hall: https://www.linkedin.com/in/james-f-hall/ Hosts Dave Chapman: https://www.linkedin.com/in/chapmandr/ Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Production Marcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/ Dave Chapman: https://www.linkedin.com/in/chapmandr/ Sound Ben Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/ Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
Au programme :En ce mois de juillet 2025 je vous propose une plongée dans les archives du RDV Tech on va remonter juste de quelques années pour se repencher sur le début de quelque chose qui bouleverse beaucoup de choses ces dernières années, l'arrivée de ChatGPT fin 2022. On en parlait dans le RDV Tech 490 le 6 décembre 2022 avec au micro avec moi Korben et Cedric de Luca, avec le début de la version conversationnelle de ChatGPT pour le grand public, on était impressionnés par la génération de textes. Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel Beja---Liens :
In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today's models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Agentic Misalignment: How LLMs could be insider threatsHugging Face Agents CourseRegister for upcoming webinars here!
Are the AI models you use today imposters?Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hhz0MAgIn this episode, hosts Dr. Tim Scarfe and Dr. Duggar are joined by AI researcher Prof. Kenneth Stanley and MIT PhD student Akash Kumar to discuss their fascinating paper, "Questioning Representational Optimism in Deep Learning."Imagine you ask two people to draw a perfect skull. One is a brilliant artist who understands anatomy, the other is a machine that just traces the image. Both drawings look identical, but the artist understands what a skull is—they know where the mouth is, how the jaw works, and that it's symmetrical. The machine just has a tangled mess of lines that happens to form the right picture.An AI with an elegant representation, has the building blocks to generate truly new ideas.The Path Is the Goal: As Kenneth Stanley puts it, "it matters not just where you get, but how you got there". Two students can ace a math test, but the one who truly understands the concepts—instead of just memorizing formulas—is the one who will go on to make new discoveries.The show is a mixture of 3 separate recordings we have done, the original Patreon warmup with Tim/Kenneth, the Tim/Keith "Steakhouse" recorded after the main interview, then the main interview with Kenneth/Akarsh/Keith/Tim. Feel free to skip around. We had to edit this in a rush as we are travelling next week but it's reasonably cleaned up. TOC:00:00:00 Intro: Garbage vs. Amazing Representations00:05:42 How Good Representations Form00:11:14 Challenging the "Bitter Lesson"00:18:04 AI Creativity & Representation Types00:22:13 Steakhouse: Critiques & Alternatives00:28:30 Steakhouse: Key Concepts & Goldilocks Zone00:39:42 Steakhouse: A Sober View on AI Risk00:43:46 Steakhouse: The Paradox of Open-Ended Search00:47:58 Main Interview: Paper Intro & Core Concepts00:56:44 Main Interview: Deception and Evolvability01:36:30 Main Interview: Reinterpreting Evolution01:56:16 Main Interview: Impostor Intelligence02:11:15 Main Interview: Recommendations for AI ResearchREFS:Questioning Representational Optimism in Deep Learning:The Fractured Entangled Representation HypothesisAkarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanleyhttps://arxiv.org/pdf/2505.11581Kenneth O. Stanley, Joel LehmanWhy Greatness Cannot Be Planned: The Myth of the Objectivehttps://amzn.to/44xLaXKOriginal show with Kenneth from 4 years ago:https://www.youtube.com/watch?v=lhYGXYeMq_EKenneth Stanley is SVP Open Endedness at Lila Scienceshttps://x.com/kenneth0stanleyAkarsh Kumar (MIT)https://akarshkumar.com/AND... Kenneth is HIRING (this is an OPPORTUNITY OF A LIFETIME!)Research Engineer: https://job-boards.greenhouse.io/lila/jobs/7890007002Research Scientist: https://job-boards.greenhouse.io/lila/jobs/8012245002TRANSCRIPT:https://app.rescript.info/public/share/W_T7E1OC2Wj49ccqlIOOztg2MJWaaVbovTeyxcFEQdU
Hello à tous et toutes ! Retour à l'audio pour cet édito "public" où je vous détaille le programme de l'été pour tous les podcasts (et je vous parle aussi des raisons de ce break).Passez d'excellentes vacances, et on se retrouve en septembre.
Quantum computing in 2025 is rapidly advancing toward commercialization, with breakthroughs in algorithms, scalable hardware, and cloud-based quantum services driving real-world applications across finance, healthcare, logistics, and cybersecurityThis week, Dave, Esmee, and Rob dive into the cutting edge of quantum computing with Catherine Vollgraff Heidweiller, Quantum AI PM at Google, and James Goeders, Head of Product for Google Quantum AI, exploring how far we've come since our June 2023 Quantumania! episode and what to expect from Willow—the bold fusion of quantum, AI, digital integration, deployment, and the broader tech ecosystem.TLDR00:46 Meet Catherine and James – intros and backgrounds02:22 Rob is confused about students using AI09:40 Deep dive with Catherine and James on the current state and future of Quantum48:01 Quantum isn't just tech—it's a whole new way of thinking1:01:37 Seize the moment and bringing external users onto quantum hardwareGuestCatherine Vollgraff Heidweiller: https://www.linkedin.com/in/cmv-vollgraffheidweiller/James Goeders: https://www.linkedin.com/in/james-goeders-8876a7164/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.Featuring:Joey Conway – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Llama Nemotron UltraNVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning AccuracyIndependent analysis of AIParakeet ModelParakeet LeaderboardTry the Llama-3.1-Nemotron-Ultra-253B-v1 model here and here
Au programme :IA vs auteurs: première victoire des LLMFairphone Gen 6, une première réussite?TikTok et Instagram bientôt sur votre télé?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Jérôme Keinborg (Bluesky).Co-animé par Cédric de LucaProduit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 625 – L'important c'est le chemin ET la destination – Victoire légale des LLM, Fairphone Gen 6, TikTok & Insta sur TV---Liens :
Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes & Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-death decisions. It's a spirited back-and-forth that tackles the big questions behind real-world AI.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:The Concept of "The Human" in the Critique of Autonomous WeaponsOn the Pitfalls of Technophilic Reason: A Commentary on Kevin Jon Heller's “The Concept of ‘the Human' in the Critique of Autonomous Weapons”Sponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In this special bonus episode, building on our Reimagining Telecoms mini-series, we dive into the current opportunities shaping today's dynamic telco landscape.This week, Dave, Esmee and Rob talk to Vivek Badrinath, Director General of the GSMA about the current opportunities shaping today's dynamic telco landscape and the role of GSMA. TLDR01:38 Introduction to Vivek and the bonus episode03:48 In-depth conversation with Vivek Badrinath42:13 Can empathy become a strategic KPI in telecom?47:20 Event in Uzbekistan and doubling down on the digital ecosystem GuestVivek Badrinath: https://www.linkedin.com/in/vivekbadrinath/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
ABOUT DHRUV PARTHASARATHYDhruv Parthasarathy has spent the last 8 years focused on applying modern software and machine learning techniques in healthcare. Dhruv currently serves as the CTO of Commure, HATCO, and Augmedix. In the role of CTO, he leads product, engineering, and design teams. Prior to this, Dhruv helped found Athelas which eventually merged with Commure.In these roles, Dhruv has designed and developed end-to-end solutions for revenue cycle automation, ambient documentation, patient engagement, and at-home diagnostics for oncology.Before this, Dhruv was the Director of Machine Learning Programs at Udacity, where he led the development of the AI, Self-Driving Car, Deep Learning, and Machine Learning Nanodegree programs.Dhruv also worked as a Product Engineer at Udacity, where he rebuilt the main signed-in experience and was responsible for the backend development. Dhruv obtained a Bachelor's degree in Computer Science from Massachusetts Institute of Technology in 2013. Following this, they pursued a Master's degree in Computer Science with a concentration in Artificial Intelligence at MIT from 2013 to 2014. This episode is brought to you by Side – delivering award-winning QA, localization, player support, and tech services for the world's leading games and technology brands.For over 30 years, Side has helped create unforgettable user experiences—from indies to AAA blockbusters like Silent Hill 2 and Baldur's Gate 3.Learn more about Side's global solutions at side.inc. SHOW NOTES:How the Commure team moves with speed & momentum (3:26)Commure's operational strategy / key leadership principles (4:57)Hiring & cultivating multi-talented individuals (7:16)How to optimize decision-making, push decisions down & minimize risk (8:40)Why speed is a core principle for building successful eng orgs (11:36)Getting unstuck in your decision-making as an eng team (13:07)Challenges faced while building a high-performing eng team in healthcare (15:47)Tactics for hiring less experienced engineers & bringing them up to speed (18:22)Customization as a product principle and how it manifests in EPD (20:55)Why the polymath style approach to engineering is more vital now than ever (23:47)Lessons learned around scope & using it to create leverage (26:06)Frameworks for assessing areas most likely to create a compound win (28:22)Rapid fire questions (30:35)LINKS AND RESOURCESCinema Speculation - The long-awaited first work of nonfiction from the author of the #1 New York Times bestselling Once Upon a Time in Hollywood: a deliriously entertaining, wickedly intelligent cinema book as unique and creative as anything by Quentin Tarantino.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
Au programme :Le premier téléphone « américain » coute 1999$Netflix et TF1 signent un accord majeurLe reste de l'actualité : temps des ados sur Tiktok, évolution des shorts, le journal de l'IA…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Guillaume Vendé (Bluesky).Co-animé par Siegfried Thouvenot alias Captain Web (Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 624 – En tech, rien n'est simple – Purism Liberty Phone, Netflix
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die faszinierende Welt der Singularity! Im Gespräch mit Joel Kaczmarek enthüllt Lars Jankowfsky, Gründer von Gradion, die Geheimnisse hinter dem exponentiellen Technologiewachstum. Gemeinsam erkunden sie die Chancen und Herausforderungen, die uns in den kommenden Jahrzehnten erwarten. Von der medizinischen Revolution bis hin zu interplanetaren Reisen – welche Rolle spielt künstliche Intelligenz und wie verändert sie unser Leben? Lass dich inspirieren und erfahre, warum die Zukunft aufregender ist, als du denkst! Du erfährst... …wie Lars Jankowfsky die Chancen und Risiken der Singularity einschätzt …welche Rolle künstliche Intelligenz in der medizinischen Forschung spielt …wie die Entwicklung von Robotik Arbeitsplätze und Gesellschaft verändert …welche Energiefragen bei exponentiellem Technologiewachstum aufkommen …warum die Zukunft von Kapitalismus und Gesellschaft neu gedacht werden muss __________________________ ||||| PERSONEN |||||
Join us for a powerful conversation with Larry Ward, President of Political Media Incorporated (PMI), as we explore the intersection of politics, marketing, and digital freedom. With decades of experience across the political, corporate, and non-profit worlds, Larry shares how PMI has helped shape the modern political landscape — all while staying ahead of the curve in a rapidly changing media environment. From pioneering digital outreach in the early 2000s to tackling the challenges of online censorship and algorithmic suppression, PMI has consistently led with innovation and conviction. In this episode, we break down the tools, strategies, and principles that continue to drive their mission forward. In this episode, you'll hear about: How digital platforms transformed political engagement. The subtle yet powerful ways censorship creeps into online advertising. How targeted messaging thrives even in suppressed environments. What AI means for the future of political speech and media strategy. If you're curious about the future of free speech, or how real change is driven through media strategy, this episode is a must-watch. Explore Larry's work and case studies at Politicalmedia.com/case-studies
[AAA] In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organizations face—sometimes getting a little messy along the way.This week, we address the ‘big rocks' that can obstruct or delay successful outcomes in organizational transformations. Dave, Esmee, and Rob are joined by Jasmin Booth, Head of Product Delivery to discuss the transformation to being a (digital) product based organization.TLDR05:22 Access All Areas: This third episode focuses on the products we build that drive outcomes.06:52 Conversation with Jasmin about our digital products37:06 What makes it better to be in a product centric organization? 54:00 Conclusion of the seven Big Rocks and how to smash them59:00 Going on the Blue Bell railway HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with Jasmin Booth: https://www.linkedin.com/in/jasminbooth15/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die Welt des Prompt Engineerings mit Joel Kaczmarek und Ruppert Bodmeier! In dieser Episode von digital kompakt geht es um die Kunst, KI-Modelle so zu steuern, dass sie genau das liefern, was du brauchst. Ruppert, ein Experte für Innovationsentwicklung bei Disrooptive, teilt seine Erfahrungen und Herausforderungen auf dem Weg zur perfekten KI-Nutzung. Erfahre, wie du durch gezieltes Prompt Engineering Wettbewerbsvorteile schaffen kannst und warum der Kontext dabei entscheidend ist. Lass dich inspirieren und entdecke, wie du die Zukunft der KI für dich nutzen kannst! Du erfährst... …wie Ruppert Bodmeier die Kunst des Prompt Engineering meistert und einzigartige Lösungen schafft …warum Beharrlichkeit und Resilienz im Umgang mit KI entscheidend sind …wie du durch präzise Kontextdefinitionen bessere KI-Ergebnisse erzielst …welche Rolle APIs spielen, um Wettbewerbsvorteile mit KI zu sichern …wie du mit modularen Befehlen und Ketten einzigartige Projekte realisierst __________________________ ||||| PERSONEN |||||
Große KI-Modelle wie ChatGPT brauchen riesige Rechenzentren und jede Menge Energie und werden fast ausschließlich von Tech-Giganten entwickelt. Welche Vorteile hätte es, Deep Learning zu demokratisieren? Und wie können kleinere KI-Modelle dazu beitragen, die Abhängigkeit von großen Tech-Konzernen zu reduzieren? Die Folge des CISPA-Podcasts „CISPA TL;DR“ mit Rebekka Burkholz könnt ihr hier anhören – oder überall, wo es Podcasts gibt. Mehr Infos über Rebekka Burkholz und ihr Forschungsprojekt SPARSE-ML findet ihr hier. Und zur SPARSE-ML-Projektseite geht’s hier entlang. >> Artikel zum Nachlesen: https://detektor.fm/wissen/forschungsquartett-deep-learning
Große KI-Modelle wie ChatGPT brauchen riesige Rechenzentren und jede Menge Energie und werden fast ausschließlich von Tech-Giganten entwickelt. Welche Vorteile hätte es, Deep Learning zu demokratisieren? Und wie können kleinere KI-Modelle dazu beitragen, die Abhängigkeit von großen Tech-Konzernen zu reduzieren? Die Folge des CISPA-Podcasts „CISPA TL;DR“ mit Rebekka Burkholz könnt ihr hier anhören – oder überall, wo es Podcasts gibt. Mehr Infos über Rebekka Burkholz und ihr Forschungsprojekt SPARSE-ML findet ihr hier. Und zur SPARSE-ML-Projektseite geht’s hier entlang. >> Artikel zum Nachlesen: https://detektor.fm/wissen/forschungsquartett-deep-learning
It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it's like to trade in code commits for investor decks. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Builder.ai Collapses: $1.5bn 'AI' Startup Exposed as 'Actually Indians' Pretending to Be BotsSponsors:Miro: Feeling overwhelmed by AI? Miro brings clarity by combining human creativity with intelligent tools to help teams get great work done. Learn more at miro.com.
Au programme :Copyright vs IA: les choses sérieuses commencentWWDC à tête reposée: Liquid Glass et damage controlMistral au centre de VivatechLe reste de l'actuInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 623 – IA vs Copyright: le vrai combat débute---Liens :
Prof. James Evans, a University of Chicago sociologist and data scientist, believes we're training AI to think too much like humans—and it's holding science back.In this episode, Evans shares how our current models risk narrowing scientific exploration rather than expanding it, and explains why he's pushing for AIs that think differently from us—what he calls “cognitive aliens.” Could these “alien minds” help us unlock hidden breakthroughs? And what would it take to build them?
An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World's First Fully AI-Automated Film Company'". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions. Featuring:Sami Arpa – LinkedInDaniel Whitenack – Website, GitHub, XLinks:Largo AISylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World's First Fully AI-Automated Film Company' Sponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.
Every organization is built on people, structures, and culture. But culture isn't static—it evolves with every interaction, ambition, and shift in circumstance. As IT drives business transformation, new technologies reshape how people connect and collaborate. In this ever-changing landscape, a strong, adaptive culture is the key to lasting success. This week, Dave, Esmee and Rob talk to Jitske Kramer, Corporate Anthropologist about what technology is doing to cultures and human systems and how AI can mess with the narrative. TLDR00:50 Introduction of Jitske Kramer and her book Navigating Tricky Times02:05 Rob shares his confusion about saying “thank you” to AI07:25 In-depth conversation with Jitske Kramer11:30 Visual communication via tattoos even at AWS re:Invent25:00 Corporate framing and what's going on within organizations today46:22 Exploring the contrast between the natural pace of human transformation and the rapid acceleration of technology54:14 Editing the documentary Patterns of Life55:56 Esmee's 2x Outro speed surprises everyone!Guest:Jitske Kramer: https://www.linkedin.com/in/jitskekramer/https://jitskekramer.substack.com/Tricky Times event: https://tricky-times.com/events/navigating-tricky-times-leading-through-the-messy-middle-of-change/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini
Au programme :WWDC: Les grands enseignements, Liquid Glass et iOS 26WWDC: l'iPad devient un « Mac Lite » (et les autres OS)Les actions planifiées, la prochaine étape de l'IA?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Christophe Camicas (Bluesky).Co-animé par Olivier Frigara (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique par Daniel BejaLe Rendez-vous Tech épisode 622 – WWDC 2025: L'iPad devient « Mac Lite » et Liquid Glass est partout – iOS 26, MacOS 26, iPadOS 26, VisionOS 26, WatchOS 26---Liens :
The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In a new five-part mini-series, Reimagining Telecoms, we will explore these challenges through five distinct lenses: Growth, Networks, Simplification, Data & AI, and Regulation, uncovering lessons and insights relevant to telecom organizations and beyond. This week, in the final episode of the mini-series, Dave, Esmee, and Rob talk to Nik Willetts, CEO of TM Forum, to discuss growth—the telco industry's biggest challenge—and how it intersects with Hyperscalers, innovation, and shaping the industry's future. TLDR01:05 Introduction of Nik and an update on the mini-series03:41 Main conversation with Nik Willetts29:10 Navigating the balance between collaboration and competition34:57 Looking ahead to DTW Ignite, the Dolomites, and Brunello wine, served by sommelier Rob GuestNik Willetts: https://www.linkedin.com/in/nikwilletts/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generative Generative AI boom is reshaping Flower's roadmap.Featuring:Chong Shen Ng – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XEpisode links:The future of AI training is federatedDeepLearning.ai short course on Federated Learning with FlowerFlower MonthlyFederated Learning in AutomotiveFederated AI in FinanceFederated Learning in HealthcareFederated AI on IoT SystemsFlowerTune LLM LeaderboardFlower IntelligenceGitHubSlackFlower DiscussCheck out upcoming webinars!Sponsors:NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at nordlayer.com/practicalai - 14-day money-back guarantee included.
What can film reviews tell us about gender bias in the movie industry?Dr Wael Khreich from the American University of Beirut explores this question with Genderly, a custom-built AI tool that analyses the language of 17,000 professional reviews. His findings reveal that female-led films are far more likely to be judged through a biased lens—subtly and overtly reinforcing stereotypes. This research sheds light on how language shapes perception, influences careers, and contributes to broader societal inequalities.Read the original research: doi.org/10.1371/journal.pone.0316093
Au programme :Microsoft a bloqué le mail de Karim Khan de la CPIiOS 26 en approche: les prévisions pour la WWDCLa Switch 2 arrive: tout savoir !Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Jérôme Keinborg (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique par Daniel BejaLe Rendez-vous Tech épisode 621 – L'autonomie informatique n'est plus une option Microsoft vs CPI, WWDC & iOS 26, Switch 2---Liens :
In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.Featuring:Patrick Foley – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IntelOpenFLSponsors:NordLayer is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.
In episode 1860, Jack and guest co-host Andrew Ti are joined by host of Worse Than You, Mo Fry Pasic, to discuss…REAL ID Isn’t Real, Cyber Trucks Just Totally Stop Selling, This AI Expert Thinks The AI Bubble’s About to Pop and more! What you need to know about the REAL ID requirements for air travel The Racist Origins of the Real ID Act Top Trump agency reveals key reason why REAL ID will be enforced 'Mass surveillance': Conservatives sound alarm over Trump admin's REAL ID rollout Trump’s Insistence on Real ID Has Become a Flashpoint for His Tinfoil Hat Fans You can get a free Krispy Kreme doughnut on May 7 for Real ID deadline: Here's how Homeland Security chief says travelers with no REAL ID can fly for now, but with likely extra steps Flying out of Indianapolis without REAL ID? Don't fret — the airport isn't turning people away Tesla’s Inventory of Unsold Cybertrucks Skyrockets, Despite Offering $10K Discounts and Concealing Listings The Silicon Valley sceptic warning tech’s new bubble is about to burst Deep Learning Is Hitting a Wall Microsoft’s £2.5bn investment in Britain at risk from creaking power grid Chess helped me win the Nobel Prize, says Google’s AI genius OpenAI overrode concerns of expert testers to release sycophantic GPT-4o The next British boom could be in the offing – if Starmer abandons net zero Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ LISTEN: Indeed by CruzaSee omnystudio.com/listener for privacy information.
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