Podcasts about Mistral

In this episode, we break down Mistral's latest open-weight frontier and compact models and how they position the company closer to the industry's largest AI competitors. We explore what these releases mean for developers, performance expectations, and the evolving landscape of open-weight AI.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan Collins calls himself a garbage man, but he's also the Managing Director at Tahoe Truckee Sierra Disposal (TTSD), a third-generation waste collection and recycling company in Northern California. After a stint in Silicon Valley, he came back to join the family business and walked into a world still powered by slide rulers, highlighters, and paper-heavy workflows. Today, his team is building in-house AI tools that are replacing expensive software and solving real operational problems across the business — all with a lean budget, limited tech experience, and a workforce that now regularly pitches their own automation ideas. We talk through how this transformation actually happened. Starting with Excel and a problem-first mindset, Ryan's weekend vibe coding projects grew into a full-on tech capability at TTSD. From saving $30,000 a year with a $75 microcontroller to avoiding six-figure SaaS spends with local AI tools, this episode is packed with practical stories. We also get into the risks of overengineering, how to decide when to bring in real software engineers, and what hiring looks like when you're prioritizing attitude and curiosity over resumes. If you're looking to build a culture of innovation, even in a non-tech industry, this one is worth a listen. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... Why even garbage truck drivers are suggesting AI tools now How Ryan turned Excel and a tinkering mindset into a culture of problem solving A $75 hardware build that fixed a $30,000-a-year proble Why vibe coding is addictive and how they stay focused on what matters Building in-house AI tools with Whisper, Mistral, and Claude Replacing a $120,000/year call center SaaS with a local tool running on a $2,000 PC How they protect customer data while still using AI internally When to keep iterating and when to bring in a developer What Ryan looks for in tech hires (and why resumes often don't matter) Using AI to bridge the language gap across a mostly Spanish-speaking workforce Mentioned in this episode ESP32 microcontrollers OpenAI Whisper (local speech-to-text) Mistral (local open source LLM) Claude by Anthropic 11Labs (AI voice translation) Google Maps API Upwork Cursor Excel, VBA, Python Pandas Alpha fold  Raptor engine at spaceX Stuff Matters: Exploring the Marvelous Materials That Shape Our Man-Made World by Mark Miodownik Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

Amazon used AWS re:Invent to clarify where it actually fits in the rapidly shifting AI landscape, revealing a strategy built around practical multimodality, enterprise-first customization, and a long-term bet on specialized agents. This episode breaks down what Amazon announced, what changed, what didn't, and what the updates really mean for enterprise teams navigating their AI stacks. Plus: OpenAI's new pre-training progress, Anthropic's alien-tech momentum, Mistral's sprawling new lineup, and the latest moves in the race toward IPOs. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

We review four clips from the Dwarkesh Patel Podcast with Satya Nadella, Microsoft's CEO. I highly recommend Dwarkesh's show—technical & nerdy, but excellent.Satya talks about scaffolding—the software wrapped around AI models to make them actually work.So we speak with someone building that scaffolding: Neil McKechnie runs two AI-first startups as a CTO. He discusses how he orchestrates up to twelve different language models—GPT-5, Claude, Gemini, Llama, Mistral, Cohere, Perplexity. We discuss what it actually takes to build production systems with LLMs today—and what that reveals about the agent future we're being pitched.Dwarkesh's Podcast:https://www.youtube.com/@DwarkeshPatelTo stay in touch, sign up for our newsletter at https://www.superprompt.fm

This is a recap of the top 10 posts on Hacker News on December 02, 2025. This podcast was generated by wondercraft.ai (00:30): Anthropic acquires BunOriginal post: https://news.ycombinator.com/item?id=46124267&utm_source=wondercraft_ai(01:52): Mistral 3 family of models releasedOriginal post: https://news.ycombinator.com/item?id=46121889&utm_source=wondercraft_ai(03:15): OpenAI declares 'code red' as Google catches up in AI raceOriginal post: https://news.ycombinator.com/item?id=46121870&utm_source=wondercraft_ai(04:37): What will enter the public domain in 2026?Original post: https://news.ycombinator.com/item?id=46117112&utm_source=wondercraft_ai(06:00): Apple Releases Open Weights Video ModelOriginal post: https://news.ycombinator.com/item?id=46117802&utm_source=wondercraft_ai(07:22): IBM CEO says there is 'no way' spending on AI data centers will pay offOriginal post: https://news.ycombinator.com/item?id=46124324&utm_source=wondercraft_ai(08:45): Advent of Compiler Optimisations 2025Original post: https://news.ycombinator.com/item?id=46119500&utm_source=wondercraft_ai(10:07): 100k TPS over a billion rows: the unreasonable effectiveness of SQLiteOriginal post: https://news.ycombinator.com/item?id=46124205&utm_source=wondercraft_ai(11:30): Paged OutOriginal post: https://news.ycombinator.com/item?id=46126217&utm_source=wondercraft_ai(12:52): Claude 4.5 Opus' Soul DocumentOriginal post: https://news.ycombinator.com/item?id=46125184&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Mercredi 3 décembre, François Sorel a reçu Frédéric Simottel, journaliste BFM Business, Isabelle Bordry, fondatrice de Retency, et Cédric Ingrand, directeur général de Heavyweight Studio. Ils se sont penchés sur l'innovation de Samsung avec son nouveau téléphone Z TriFold, la démission du grand patron de l'IA chez Apple, John Giannandrea, et le lancement de la nouvelle famille Mistral?3, un modèle open source, par Mistral, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez-la en podcast.

Ecoutez L'angle éco de François Lenglet du 02 décembre 2025.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

This Day in Legal History: John Brown AssassinatedOn December 2, 1859, abolitionist John Brown was executed by hanging in Charles Town, Virginia (now West Virginia), following his conviction for treason against the Commonwealth of Virginia, murder, and inciting a slave insurrection. Brown had led a raid on the federal armory at Harpers Ferry in October, attempting to seize weapons and incite a large-scale slave uprising. His plan failed, with most of his men either killed or captured, and Brown himself wounded and arrested by U.S. Marines under the command of Colonel Robert E. Lee. The legal proceedings against him were swift: Brown was indicted within days, tried in state court, and sentenced to death less than a month after the raid.His execution was a national event, drawing immense media coverage and polarized public reaction. In the North, many abolitionists hailed him as a martyr who sacrificed his life to end the moral atrocity of slavery. In the South, he was widely viewed as a terrorist whose actions confirmed fears of Northern aggression and interference. Brown's trial and punishment underscored the deepening legal and moral divide between free and slave states, particularly regarding states' rights, federalism, and the use of violence to oppose injustice. The charges of treason and insurrection also raised complex constitutional questions, since Brown was prosecuted under state, not federal, law — despite attacking a federal facility. His case set the stage for intensifying legal and political disputes over the limits of protest, the legitimacy of armed resistance, and the definition of loyalty to the state.Brown's final words, predicting that “the crimes of this guilty land will never be purged away but with blood,” would prove prescient less than two years later when the Civil War began.A federal appeals court has ruled that Alina Habba, a former personal attorney to Donald Trump, was unlawfully appointed as the interim U.S. Attorney for the District of New Jersey. The 3rd Circuit Court of Appeals unanimously upheld a lower court's finding that the Trump administration violated federal appointments law in installing Habba without Senate confirmation or proper legal authority. This decision disqualifies her from overseeing federal cases in the state, potentially disrupting numerous active prosecutions.The case was brought by defense attorneys who argued that the Justice Department used procedural workarounds to improperly extend Habba's tenure after New Jersey's district judges declined to reauthorize her. In response, DOJ fired her court-appointed successor and tried to reassign Habba under a different title, which the court rejected. The ruling is significant because it's the first appellate decision pushing back on Trump-era efforts to place loyalists in key legal roles without Senate oversight.Habba, who had no prior prosecutorial experience, previously represented Trump in high-profile civil litigation, including the defamation case involving E. Jean Carroll. During her controversial tenure, she was criticized for politicized statements and for filing charges against a Democratic congresswoman. Similar appointment disputes are playing out in other states, and this decision sets a strong precedent against bypassing constitutional and statutory nomination processes. The administration is expected to appeal to the Supreme Court.Court disqualifies Trump ally Habba as top New Jersey federal prosecutor | ReutersHSBC has announced a multi-year partnership with French start-up Mistral AI to integrate generative AI tools across its global operations. The bank plans to self-host Mistral's commercial AI models and future upgrades, combining its own tech infrastructure with Mistral's cutting-edge AI capabilities. The collaboration aims to boost automation, productivity, and customer service, with use cases spanning financial analysis, multilingual translation, risk assessment, and personalized client interactions.By adopting Mistral's tools, HSBC expects to significantly reduce time spent on routine, document-heavy tasks, such as those in credit and financing teams. Already active in AI applications like fraud detection and compliance, the bank sees this deal as a way to accelerate innovation cycles and roll out new features more efficiently. The move comes amid a broader industry trend as banks seek to scale generative AI solutions, while addressing ongoing concerns around data privacy. HSBC emphasized that all deployments will comply with its responsible AI governance standards to ensure transparency and protection.HSBC taps French start-up Mistral to supercharge generative-AI rollout | ReutersPresident Donald Trump has commuted the prison sentence of David Gentile, the former CEO of GPB Capital Holdings, who was convicted under the Biden administration for his role in what prosecutors called a Ponzi scheme. Gentile had been serving a seven-year sentence after being found guilty of securities fraud in 2024. The DOJ argued that GPB misled investors by using new investor funds to pay returns, rather than profits from legitimate operations.However, in announcing the commutation, a White House official pushed back on the prosecution's claims, arguing that investors had been clearly informed about the firm's payment practices and that prosecutors failed to directly link fraudulent misrepresentations to Gentile during trial. The official also alleged misconduct, claiming the government elicited and failed to correct false testimony.The commutation comes amid heightened political scrutiny of financial fraud prosecutions and continues Trump's trend of intervening in controversial white-collar cases. The Department of Justice has not yet responded to the decision.Trump frees former GPB Capital CEO after Biden admin's Ponzi scheme sentence | ReutersMy column for Bloomberg this week is about … the penny. The official end of penny production may seem trivial, but it's creating real legal headaches for retailers and tax administrators alike. Without the one-cent coin, states are facing ambiguity about how to round sales tax totals for cash transactions—should it happen before or after tax, and who absorbs the rounding loss? These questions go largely unanswered, and in the absence of clear rules, businesses are improvising, which risks inconsistent compliance and enforcement challenges. There's also a legal tension where cash transactions require rounding but card payments do not—potentially running afoul of laws banning payment-method discrimination or even the Internet Tax Freedom Act.Streamlined Sales Tax rules add more complexity, limiting when and how rounding can occur and cautioning against systems that enrich the state at consumers' expense. I argue that instead of patchwork fixes, this moment should push states to modernize their sales tax systems with mandatory e-invoicing and real-time reporting. This would standardize how tax is calculated and rounded, reduce compliance uncertainty, and shrink the window for fraud. Paired with something like a receipt lottery—used successfully in countries like Brazil and China—states could turn customers into compliance allies by rewarding them for scanning and validating receipts.Ultimately, automating rounding decisions and reporting in point-of-sale systems would lift the burden off retailers and give governments cleaner data with lower enforcement costs. The penny may be dead, but this is a rare chance to bring sales tax enforcement into the 21st century. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

This week, Andreas Munk Holm sits down with Jack Leeney, co-founder of 7GC, the transatlantic growth fund bridging Silicon Valley and Europe and a backer of AI giants like Anthropic, alongside European rising stars Poolside and Fluidstack.From IPOs at Morgan Stanley to running Telefónica's US venture arm and now operating a dual-continental fund, Jack shares how 7GC reads the AI supercycle, why infrastructure and platforms win first, and what Europe must fix to unlock the next wave of venture liquidity.

Ecoutez L'angle éco de François Lenglet du 02 décembre 2025.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Entre robotaxis, robots humanoïdes téléopérés et compétition géopolitique autour de l'IA, Michel Lévy-Provençal raconte trois semaines au cœur des métropoles asiatiques les plus innovantes.Michel Lévy-Provençal, prospectiviste et dirigeant de BrightnessPourquoi avoir entrepris ce long voyage en Asie et qu'est-ce qui vous a le plus frappé à Shenzhen ?Je suis parti à la fois pour respirer et pour une opportunité professionnelle qui m'a conduit dans six métropoles asiatiques. À Shenzhen, j'ai reçu une véritable claque : une ville verte, silencieuse, largement électrifiée, bien loin des clichés de mégalopole polluée. Là-bas, tout repose sur l'écosystème mobile local. Sans WeChat, on ne peut strictement rien faire : payer, s'identifier, réserver un billet. Cette dépendance crée un mélange étrange de confort et d'oppression, renforcé par la biométrie systématique aux frontières et la surveillance omniprésente. Malgré cela, l'efficacité est bluffante. J'ai compris que Shenzhen est pensée comme une scène technologique destinée à montrer, très explicitement, la puissance numérique chinoise.Comment avez-vous vécu l'expérience des robotaxis et des robots humanoïdes ?Les robotaxis ont été une découverte spectaculaire. J'ai utilisé un taxi autonome de Pony.ai pour quelques euros à peine, une démonstration assumée de maturité technologique. Certaines voitures roulent totalement sans chauffeur, d'autres disposent d'un superviseur immobile, volontairement mis en retrait pour prouver la fiabilité du système. C'est fluide, précis, impressionnant. Du côté de la robotique humanoïde, j'ai visité les laboratoires d'Engine AI. Leurs robots marchent, courent, se rattrapent, dansent, manipulent des objets avec des gestes très crédibles. Mais tout est téléopéré : aucune autonomie réelle. Les vidéos virales que nous voyons montrent des machines pilotées à distance. La mécanique est brillante, mais la couche d'intelligence embarquée manque encore pour évoluer dans un environnement complexe.Quel regard portez-vous sur la compétition technologique entre la Chine, les États-Unis et le Japon ?La Chine mène aujourd'hui une offensive technologique assumée. En IA, des modèles comme Kimi cherchent clairement à rivaliser avec les modèles américains. En robotique ou en mobilité autonome, la communication est massive, calculée, internationale. À l'inverse, le Japon m'a semblé en retrait. Lors d'un échange avec l'ancien ministre de la Transformation Numérique, j'ai été frappé d'entendre Mistral cité comme exemple positif de stratégie souveraine. On voit bien que la compétition ne se joue plus seulement sur la performance brute mais sur la vitesse d'exécution, la frugalité, la cohérence stratégique et le récit.Qu'avez-vous observé en Asie concernant l'image de la France et ses opportunités ?J'ai été surpris par la puissance de la marque France dans toute l'Asie. À Séoul, Hong Kong ou Singapour, j'ai vu des dizaines de marques jouant la carte française, parfois sans lien réel avec la France. Notre imaginaire séduit : design, qualité, exigence, poésie. Nous sous-exploitons clairement ce potentiel. Des acteurs français comme Dassault Systèmes, Airbus ou TotalEnergies y jouissent déjà d'un immense respect. Je suis convaincu que nous pourrions créer bien plus de valeur en combinant technologies venues d'ailleurs et excellence française dans l'expérience, le software ou la conception. Le marché asiatique est une opportunité majeure.Brightness France : https://www.brightness.fr/-----------♥️ Soutien : https://mondenumerique.info/don

Der Europäische Gipfel für digitale Souveränität 2025 sollte einen Weg aufzeigen in Europas möglichst unabhängige, technologische Zukunft. Wir sind uns eher unsicher, ob das so gut geklappt hat. Wir reden in unserer neuen Episode unter anderem über: • die angekündigten Milliardeninvestitionen großer US-Technologiekonzerne • der deutsch-französische Versuch, „Buy European“ zu etablieren • mögliche industriepolitische Konsequenzen und geopolitische Abhängigkeiten • die Rolle europäischer Alternativen wie Mistral, SAP, GAIA-X oder Open Source • der „digitale Omnibus“ und die Debatte um eine Lockerung europäischer Datenschutzstandards • die Frage, ob die EU realistische Chancen hat, digital souveräner zu werden • und welche Signale (oder fehlenden Signale) der Gipfel tatsächlich gesendet hat Leider hat diese Episode kein Happy End.

Sur Skyrock PLM on vous parle régulièrement de nos soldats français déployés un peu partout dans le monde sur terre, dans les airs, sur et sous les mers, et on vous emmène sur le camp « Général Berthelot » à Cincu en Roumanie où nos militaires sont engagés au sein du bataillon multinational de l'OTAN sous commandement français ! On découvre avec le maréchal des logis Dylan qui est chef de pièce Mistral, l'artillerie du bataillon multinational de l'OTAN avec plus précisément la présentation de sa dimension « défense anti-aérienne » avec l'artillerie sol-air très courte portée !

Pour fêter l'anniversaire de la sortie de l'album "Mistral gagnant" en décembre 1985, voici le Music Story de Pat Angeli ! ✨ Chaque jour dans le 16/20 RFM, retrouvez toutes les histoires de vos chansons préférées. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Mardi 25 novembre, François Sorel a reçu Thomas Serval, PDG de Baracoda, Frédéric Simottel, journaliste BFM Business, et Yves Maitre, operating partner chez Jolt Capital. Ils se sont penchés sur le mystérieux appareil IA d'Ive et Altman, ainsi que sur l'alerte de Christine Lagarde sur le retard européen en matière d'IA, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez-la en podcast.

Un nouveau cap pour la pêche à Rodrigues : lancement du premier bateau semi-industriel, le Mistral by TOPFM MAURITIUS

In this episode, we dive into NASA's first test flight of the ultra-quiet X-59 supersonic jet, explore the futuristic Phantom transparent 4K monitor, and break down World Labs' breakthrough 3D world-modeling AI. We also cover TypeScript's unexpected rise in the AI era, the world's first mass delivery of humanoid factory workers, and how you can now run powerful open-source AI models locally. It's a packed show full of aviation, robotics, and cutting-edge tech that's reshaping the future. Want to be a Guest on a Podcast or YouTube Channel? Sign up for GuestMatch.Pro Thinking of buying a Starlink? Use my link to support the show. Don’t tell me you’ve been using the same password for every site? You’ll thank me later, Get 1Password. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes $11.99 – For a New Domain Name cjcfs3geek $6.99 a month Economy Hosting (Free domain, professional email, and SSL certificate for the 1st year.) Promo Code: cjcgeek1h $12.99 a month Managed WordPress Hosting (Free domain, professional email, and SSL certificate for the 1st year.) Promo Code: cjcgeek1w Support the show by becoming a Geek News Central Insider Full Summary In episode 1852 of the Geek News Central podcast, host Ray Cochrane welcomes listeners back after a brief hiatus, explaining the delay due to personal and professional commitments. He kicks off the show by discussing an exciting breakthrough from NASA: the successful test flight of the X-59, an experimental aircraft designed to quiet the sonic boom, potentially paving the way for commercial supersonic flight over land. Ray notes that the X-59, which resembles a swordfish, recently completed its first test flight in California, focusing on functionality rather than speed. It is intended to gather data on the aircraft’s noise impact on communities, indicating a significant step towards improving commercial travel times. After this, Ray thanks the podcast’s sponsor, GoDaddy, highlighting their hosting services and mentioning various promotional offers. He encourages listeners to support the show directly through the GoDaddy links, emphasizing their reliability in supporting the podcast. Following the sponsor message, Ray transitions into another topic, discussing a new prototype transparent 4K monitor named the Phantom developed by Virtual Instruments. The monitor is designed to allow users to see their environment through the screen while achieving remarkable brightness levels. Next, he introduces an innovative AI model called Marble developed by Fei Fei Li's startup, World Labs. Ray explains that this platform enables users to generate 3D worlds from simple prompts, marking a shift towards spatial intelligence in AI, which is essential for gaming, robotics, and visual effects. Ray then moves on to discuss TypeScript’s rise in the programming world, which has overtaken JavaScript and Python as the most used language on GitHub due to its compatibility with AI-assisted coding. He continues with news about UbiTech’s Walker S2 humanoid robots, which have begun mass delivery to factories, signifying a major milestone in manufacturing automation and the potential implications for the labor market. Ray finishes with information on the growing trend of running local open-source AI models on personal computers. He emphasizes the privacy advantages of using models like Llama and Mistral locally without relying on cloud providers. In closing, Ray reflects on the episode’s diverse topics and invites listener feedback regarding the content. He expresses gratitude for their support and encourages them to send comments or suggestions for future episodes. Ray ends by wishing everyone a good night and promising to return with more episodes soon. Show Links NASA X-59 Quiet Supersonic Test Flight Phantom Transparent 4K Monitor Fei-Fei Li's World Labs Launches Marble TypeScript's Rise in the AI Era (Hejlsberg Interview) UBTECH's First Large Delivery of Humanoid Workers How to Run Your Own Local Open-Source AI Model The post From NASA's X-59 to Humanoid Workers: The Future Is Getting Weird # 1852 appeared first on Geek News Central.

It's that time of year again: Atomico's State of European Tech report has landed.In case you don't have the time to wade through its mammoth 183 charts, this week host Amy Lewin is joined by senior reporter Miriam Partington to bring you the report's most surprising findings, with a focus on talent.And it paints a rosy picture: respondents say it's getting easier to recruit and retain top-tier talent in Europe, and the continent's pool of senior tech tech employees has grown faster than the US over the last decade.But do founders actually feel that shift on the ground? And how much appetite is there to finally fix Europe's long-lamented market fragmentation? And why, a decade on, is the gender funding gap showing no signs of closing?Read Atomico's report, here: https://www.stateofeuropeantech.com/Read our top highlights, here: https://sifted.eu/articles/state-european-tech-report-2025Read about the Mistral and SAP partnerships, here: https://sifted.eu/articles/france-germany-partnership-mistral-sapRead about why VCs are ditching the boardroom for operator life, here: https://sifted.eu/articles/vcs-becoming-operatorsIf you would like to sponsor the podcast, please email commercial@sifted.eu

Voici les titres de la semaine :

En el episodio de este miércoles 19 de noviembre conectamos con la periodista y gestora cultural, Marcela Landeros, con quien profundizamos en la amplia cartelera de actividades y lanzamientos que se llevarán a cabo en los próximos días en la región de Valparaíso y a la cual les invitamos a participar activamente. Valparaíso celebra 13 años del Festival de Poesía “A Cielo Abierto” Desde este miércoles 19 al sábado 22 de noviembre, la ciudad de Valparaiso será escenario de una nueva edición del festival, que este año rinde homenaje a Gabriela Mistral bajo el lema “Mistral 80: poesía & pensamiento”, a 80 años de su Premio Nobel. Lecturas, música, talleres y recorridos poéticos tomarán espacios emblemáticos como La Sebastiana, el Muelle Prat, el Terminal de Trolebuses, Artequin y la Plaza Aníbal Pinto, acercando la poesía a la vida cotidiana porteña. El encuentro contará con destacadas voces nacionales, actividades familiares y la tradicional “Lectura en Lanchas”, además de la jornada “Poesía en Trole” y un concierto poético de cierre en la Plaza Aníbal Pinto. Programación completa en: fundacionacieloabierto.cl y en sus redes sociales “Hay Una Roca Que Aflora”: danza, territorio y espiritualidad se encuentran en Valparaíso y Marga Marga “Hay Una Roca Que Aflora” llega a Valparaíso y la provincia de Marga Marga con una propuesta de danza que nace del encuentro entre cuerpo, territorio y espiritualidad. Inspirada en los cerros La Huinca y La Campana, la obra recoge caminatas, sonidos y memorias que dieron forma a un lenguaje escénico íntimo y poético. El proyecto, creado por Carolina Cifras, Laura Corona y Lucía P. Vivas junto al músico Rodrigo Rojas, iniciará una itinerancia entre noviembre y enero, con funciones en Valparaíso, también en Limache, Quilpué, Olmué y Quillota. La programación contempla presentaciones en Sala Negra UV este viernes 21 y sábado 22, Fundación Lumbre, Casa Cultural El Chagual, Teatro Municipal de Quilpué, Espacio Comunitario Santa Ana, La Trenza y Teatro Rodolfo Bravo. “Hay Una Roca Que Aflora” es más que una obra de danza: es una experiencia sensorial y poética que entrelaza cuerpo y paisaje, invitando a reconectarnos con lo que palpita bajo nuestros pies. Francisco Campos lanzó su nuevo disco Un puente entre la raíz folclórica y la creación contemporánea El pasado 8 de noviembre se estrenó el nuevo álbum de Francisco Campos, una obra donde la raíz folclórica se entrelaza con sonoridades contemporáneas tras años de investigación y exploración musical. Grabado en el Estudio Palo Quemado, el disco destacó por su sonido cálido y colectivo, interpretado en vivo, e influenciado por el guitarrón de Pirque y los bailes chinos del Aconcagua. Campos propuso un puente entre tradición y vanguardia, invitando a cada oyente a conectar con una experiencia personal y profunda. Un lanzamiento que reafirmó su aporte a la música de raíz chilena y su búsqueda de nuevos territorios creativos.

Les ordinateurs quantiques n'existent pas encore à grande échelle, mais ils inquiètent déjà tout le monde. Leur puissance de calcul pourrait, à terme, briser les systèmes de chiffrement qui protègent aujourd'hui nos communications, nos données sensibles, nos transactions. En clair : le coffre-fort numérique mondial pourrait devenir transparent du jour au lendemain. Face à cette menace, Thales prend les devants. Le groupe français vient de dévoiler Mistral, un nouveau système de chiffrement conçu pour résister aux attaques quantiques. Une solution souveraine, destinée aux administrations publiques, aux opérateurs d'importance vitale et aux industriels de la défense. Objectif : sécuriser dès juin prochain toutes les communications classées « limitées ». Et le timing n'est pas un hasard.À Rennes, où se tient la Cyber Week, Thales frappe fort pour la deuxième fois en deux mois, après avoir présenté son dispositif DCM5 dédié aux secrets d'État. Avec Mistral — à ne pas confondre avec la start-up Mistral AI — le message est clair : la course au chiffrement post-quantique est lancée, et l'Europe entend bien ne pas rester spectatrice. Concrètement, Mistral repose sur des algorithmes spécialement conçus pour survivre à la puissance de calcul des futures machines quantiques. Le système vise la certification Common Criteria EAL4+, l'un des niveaux les plus élevés au monde, et se conforme aux recommandations de l'ANSSI, l'agence française cybersécurité.Thales assure également que la performance n'a pas été sacrifiée. Mistral affiche un débit impressionnant de 4 × 10 Gbit/s, avec une latence minimale, ce qui permet d'intégrer la solution dans des infrastructures existantes sans ralentissement. Grâce à une gestion centralisée, le déploiement se veut simple et rapide, un atout de taille pour les grandes organisations déjà sous tension. Selon Pierre Jeanne, vice-président cybersécurité souveraine, Thales sera prêt à fournir « une solution capable de résister aux attaques quantiques » à la France et à ses partenaires européens dès juin 2026. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Le général nigérien, Abdourahamane Tiani, était cette semaine en tournée dans le pays. À Dosso, dans un discours devant des militaires, il a laissé entendre que la France préparait des opérations de déstabilisation contre le Niger et plus largement contre les états de l'AES. Il a pointé du doigt l'arrivée d'un navire de guerre français dans le port de Cotonou, affirmant, à tort, que ce bateau était venu à plusieurs reprises décharger des soldats français au Bénin. Ce n'est pas la première fois que le chef du Conseil national pour la sauvegarde de la patrie (CNSP) affiche des positions hostiles à la France. Ces dernières années, des accusations mensongères, ont visé la France et l'Europe. Ces narratifs, ont été régulièrement relayés par les médias d'État au Niger. Cette fois-ci, le chef de la junte s'en est pris à la France alors que les relations entre le Bénin et le Niger sont dans l'impasse. Accusations récurrentes  Dans son allocution du 8 novembre 2025 à Dosso, il a affirmé :  « la volonté de la France à nous déstabiliser, est une vérité, et nous ne cesserons jamais de le dire (...) un porte-hélicoptère qui s'appellerait Tonnerre, a accosté au port autonome de Cotonou, à bord ce sont des milliers de soldats français, et ça doit être le dixième débarquement à travers des portes hélicoptères amphibies ». Après vérification, il apparaît que le général Abdourahmane Tianni s'est saisi d'une information tout à fait officielle, à savoir l'escale d'un navire français au Bénin, pour nourrir un narratif complotiste. Nous avons retrouvé la trace du porte-hélicoptère Tonnerre entre le 5 et 9 novembre dans le Port de Cotonou. La présence de ce bateau a d'ailleurs été annoncée sur la page Facebook de l'ambassade de France au Bénin.  Exercices communs dans le golfe de Guinée Joint par RFI, l'état-major français, précise que ce navire participe à la mission de surveillance et de lutte contre la piraterie baptisée  « Corymbe » et qu'il sera présent dans la zone du golfe de Guinée jusqu'à décembre prochain. D'ailleurs, le Bénin ne sera pas sa seule escale, puisque jusqu'au 17 novembre, l'équipage du bateau va participer à des exercices avec les marines de 18 pays de la région, du Sénégal à l'Angola, en passant par la Guinée et le Cameroun. La présence de navires de la Marine nationale française dans la région est courante, dans le cadre de Corymbe comme dans le cadre de l'exercice international Grand African Nemo qui se déroule depuis huit ans, donc bien avant l'arrivée de la junte au pouvoir au Niger. Des soldats français par milliers introuvables au Bénin… La capacité maximale d'un porte-hélicoptères comme le « Tonnerre » n'excède pas 900 hommes, et encore pour des opérations relativement courtes. Selon l'armée française, il y a, à bord du navire amphibie, un groupement tactique embarqué avec des véhicules militaires et environ 450 hommes, au total. Rappelons que le PHA est un gros navire. Il s'agit des fameux bateaux de la classe « Mistral » : 20 000 tonnes, 200 mètres de long, donc des bâtiments très visibles et facilement identifiables. En revanche, aucun convoi militaire français, n'a été observé, ni filmé à terre au Bénin, ces derniers temps. Or, on déduit aisément que ces milliers d'hommes ne seraient pas passés inaperçus.

Gabriela Mistral fue una destacada poeta, diplomática y educadora chilena, nacida como Lucila Godoy Alcayaga el 7 de abril de 1889 en Vicuña, Chile, y fallecida el 10 de enero de 1957 en Hempstead, Nueva York, Estados Unidos. es reconocida por su poesía profundamente emotiva, centrada en temas como el amor, la maternidad, la muerte, la naturaleza y el dolor humano. Su primer gran reconocimiento llegó cuando ganó el primer premio en un concurso literario con el poemario Sonetos de la muerte en 1914.Entre sus obras más importantes se encuentran:Desolación (1922).Ternura (1924).Tala (1938).Lagar (1954). En 1945, Gabriela Mistral se convirtió en la primera mujer latinoamericana en recibir el Premio Nobel de Literatura, por su poesía “inspirada por poderosas emociones”, y por reflejar sus ideales humanitarios y su lucha por la justicia. Además de su carrera literaria, Mistral fue una ferviente defensora de la educación. Trabajó como maestra en Chile y luego colaboró con varios gobiernos latinoamericanos en la reforma de sus sistemas educativos. Desempeñó cargos diplomáticos en México, Estados Unidos, Brasil y otros países. Su legado permanece como símbolo de la literatura y la educación en América Latina. Su figura representa el compromiso social y la sensibilidad poética, y continúa influyendo en generaciones de escritores, especialmente mujeres.

Chef David Denis was born and raised in France with a grandmother and mother who both owned restaurants and cafes. David became a chef and ended up in Houston for a private chef gig and stayed. He opened his first restaurant in Houston in 2001, then opened his second restaurant 7 years later. He later became a consultant and finally in 2020 he bought Bistro Five-5-Five with his partners. This year he became the sole owner of the restaurant and will rename it Bistro Mistral. He plans to open at least 4 more restaurants in Houston. Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: Cerboni - Cerboni is an all-in-one financial solution for restaurants. Reliable tax preparation & Business incorporation. Seamless Payroll and compliance report. Strategic CFO Services That Drive Business Growth. Detailed, custom reporting for complete financial clarity. Dedicated support for restaurants & Multi-location businesses. End-to-end financial management under one roof.   US Foods®. Make running your foodservice operation easier and more efficient with solutions from US Foods®. Utilize a suite of digital tools, like the all-in-one foodservice app MOXē®, and enjoy exclusive access to quality Exclusive Brands products. Learn how partnering with US Foods helps you get more out of your business by visiting www.usfoods.com/expectmore   Restaurant Systems Pro - Lower your prime cost by $1,000, and get paid $1,000 with the Restaurant Systems Pro 30-Day Prime Cost Challenge. If you successfully improve your prime cost by $1,000 or more compared to the same 30-day period last year, Restaurant Systems Pro will pay you $1,000. It's a "reverse guarantee."  Let's make 2026 the year your restaurant thrives. Today's guest recommends: Cerboni Square Pop Menu Restaurant365 Guest contact info:  Instagram: @chefdaviddenis Thanks for listening! Rate the podcast, subscribe, and share! 

L'IA s'invite dans les navigateurs web, mais à quel prix ? Sylvestre Ledru (Firefox) alerte sur les dérives potentielles, entre hallucinations, sécurité et vie privée.Sylvestre Ledru, directeur de l'ingénierie, Firefox (Mozilla)Quelle est la vision de Firefox face aux géants du web ?Bien que Firefox dispose de moyens limités face à Google, Microsoft ou Apple, il maintient une forte présence sur certains marchés européens, comme la France ou l'Allemagne. Son modèle open source et sa mission en faveur d'un Internet libre lui permettent de proposer une alternative crédible, centrée sur la transparence et la souveraineté technologique.Pourquoi les navigateurs boostés à l'IA posent-ils des problèmes de sécurité, selon vous ?L'arrivée de l'agentique dans les navigateurs soulève de nombreuses inquiétudes : attaques par prompt injection, exfiltration de données, hallucinations… Pour Sylvestre Ledru, ces technologies sont encore insuffisamment sécurisées. Firefox préfère avancer prudemment, en testant des usages limités de l'IA sans compromettre la vie privée des utilisateurs.Cela veut-il dire que vous tournez le dos à l'IA ?Non. Firefox intègre déjà plusieurs fonctionnalités IA (résumé de pages, analyse de contenu), via des modèles comme Mistral ou ChatGPT. Mais toujours dans le respect de l'utilisateur : traitements en local, choix des fournisseurs, et aucun agent autonome. Une stratégie guidée par une mission forte : défendre un web ouvert, accessible et respectueux des droits fondamentaux.-----------♥️ Soutien : https://mondenumerique.info/don

Dans cet épisode, Arnaud et Guillaume discutent des dernières évolutions dans le monde de la programmation, notamment les nouveautés de Java 25, JUnit 6, et Jackson 3. Ils abordent également les récents développements en IA, les problèmes rencontrés dans le cloud, et l'état actuel de React et du web. Dans cette conversation, les intervenants abordent divers sujets liés à la technologie, notamment les spécifications de Wasteme, l'utilisation des UUID dans les bases de données, l'approche RAG en intelligence artificielle, les outils MCP, et la création d'images avec Nano Banana. Ils discutent également des complexités du format YAML, des récents dramas dans la communauté Ruby, de l'importance d'une bonne documentation, des politiques de retour au bureau, et des avancées de Cloud Code. Enfin, ils évoquent l'initiative de cafés IA pour démystifier l'intelligence artificielle. Enregistré le 24 octobre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-331.mp3 ou en vidéo sur YouTube. News Langages GraalVM se détache du release train de Java https://blogs.oracle.com/java/post/detaching-graalvm-from-the-java-ecosystem-train Un article de Loic Mathieu sur Java 25 et ses nouvelles fonctionalités https://www.loicmathieu.fr/wordpress/informatique/java-25-whats-new/ Sortie de Groovy 5.0 ! https://groovy-lang.org/releasenotes/groovy-5.0.html Groovy 5: Évolution des versions précédentes, nouvelles fonctionnalités et simplification du code. Compatibilité JDK étendue: Full support JDK 11-25, fonctionnalités JDK 17-25 disponibles sur les JDK plus anciens. Extension majeure des méthodes: Plus de 350 méthodes améliorées, opérations sur tableaux jusqu'à 10x plus rapides, itérateurs paresseux. Améliorations des transformations AST: Nouveau @OperatorRename, génération automatique de @NamedParam pour @MapConstructor et copyWith. REPL (groovysh) modernisé: Basé sur JLine 3, support multi-plateforme, coloration syntaxique, historique et complétion. Meilleure interopérabilité Java: Pattern Matching pour instanceof, support JEP-512 (fichiers source compacts et méthodes main d'instance). Standards web modernes: Support Jakarta EE (par défaut) et Javax EE (héritage) pour la création de contenu web. Vérification de type améliorée: Contrôle des chaînes de format plus robuste que Java. Additions au langage: Génération d'itérateurs infinis, variables d'index dans les boucles, opérateur d'implication logique ==>. Améliorations diverses: Import automatique de java.time.**, var avec multi-assignation, groupes de capture nommés pour regex (=~), méthodes utilitaires de graphiques à barres ASCII. Changements impactants: Plusieurs modifications peuvent nécessiter une adaptation du code existant (visibilité, gestion des imports, comportement de certaines méthodes). **Exigences JDK*: Construction avec JDK17+, exécution avec JDK11+. Librairies Intégration de LangChain4j dans ADK pour Java, permettant aux développeurs d'utiliser n'importe quel LLM avec leurs agents ADK https://developers.googleblog.com/en/adk-for-java-opening-up-to-third-party-language-models-via-langchain4j-integration/ ADK pour Java 0.2.0 : Nouvelle version du kit de développement d'agents de Google. Intégration LangChain4j : Ouvre ADK à des modèles de langage tiers. Plus de choix de LLM : En plus de Gemini et Claude, accès aux modèles d'OpenAI, Anthropic, Mistral, etc. Modèles locaux supportés : Utilisation possible de modèles via Ollama ou Docker Model Runner. Améliorations des outils : Création d'outils à partir d'instances d'objets, meilleur support asynchrone et contrôle des boucles d'exécution. Logique et mémoire avancées : Ajout de callbacks en chaîne et de nouvelles options pour la gestion de la mémoire et le RAG (Retrieval-Augmented Generation). Build simplifié : Introduction d'un POM parent et du Maven Wrapper pour un processus de construction cohérent. JUnit 6 est sorti https://docs.junit.org/6.0.0/release-notes/ :sparkles: Java 17 and Kotlin 2.2 baseline :sunrise_over_mountains: JSpecify nullability annotations :airplane_departure: Integrated JFR support :suspension_railway: Kotlin suspend function support :octagonal_sign: Support for cancelling test execution :broom: Removal of deprecated APIs JGraphlet, une librairie Java sans dépendances pour créer des graphes de tâches à exécuter https://shaaf.dev/post/2025-08-25-think-in-graphs-not-just-chains-jgraphlet-for-taskpipelines/ JGraphlet: Bibliothèque Java légère (zéro-dépendance) pour construire des pipelines de tâches. Principes clés: Simplicité, basée sur un modèle d'exécution de graphe. Tâches: Chaque tâche a une entrée/sortie, peut être asynchrone (Task) ou synchrone (SyncTask). Pipeline: Un TaskPipeline construit et exécute le graphe, gère les I/O. Modèle Graph-First: Le flux de travail est un Graphe Orienté Acyclique (DAG). Définition des tâches comme des nœuds, des connexions comme des arêtes. Support naturel des motifs fan-out et fan-in. API simple: addTask("id", task), connect("fromId", "toId"). Fan-in: Une tâche recevant plusieurs entrées reçoit une Map (clés = IDs des tâches parentes). Exécution: pipeline.run(input) retourne un CompletableFuture (peut être bloquant via .join() ou asynchrone). Cycle de vie: TaskPipeline est AutoCloseable, garantissant la libération des ressources (try-with-resources). Contexte: PipelineContext pour partager des données/métadonnées thread-safe entre les tâches au sein d'une exécution. Mise en cache: Option de mise en cache pour les tâches afin d'éviter les re-calculs. Au tour de Microsoft de lancer son (Microsoft) Agent Framework, qui semble être une fusion / réécriture de AutoGen et de Semnatic Kernel https://x.com/pyautogen/status/1974148055701028930 Plus de détails dans le blog post : https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/ SDK & runtime open-source pour systèmes multi-agents sophistiqués. Unifie Semantic Kernel et AutoGen. Piliers : Standards ouverts (MCP, A2A, OpenAPI) et interopérabilité. Passerelle recherche-production (patterns AutoGen pour l'entreprise). Extensible, modulaire, open-source, connecteurs intégrés. Prêt pour la production (observabilité, sécurité, durabilité, "human in the loop"). Relation SK/AutoGen : S'appuie sur eux, ne les remplace pas, simplifie la migration. Intégrations futures : Alignement avec Microsoft 365 Agents SDK et Azure AI Foundry Agent Service. Sortie de Jackson 3.0 (bientôt les Jackson Five !!!) https://cowtowncoder.medium.com/jackson-3-0-0-ga-released-1f669cda529a Jackson 3.0.0 a été publié le 3 octobre 2025. Objectif : base propre pour le développement à long terme, suppression de la dette technique, architecture simplifiée, amélioration de l'ergonomie. Principaux changements : Baseline Java 17 requise (vs Java 8 pour 2.x). Group ID Maven et package Java renommés en tools.jackson pour la coexistence avec Jackson 2.x. (Exception: jackson-annotations ne change pas). Suppression de toutes les fonctionnalités @Deprecated de Jackson 2.x et renommage de plusieurs entités/méthodes clés. Modification des paramètres de configuration par défaut (ex: FAIL_ON_UNKNOWN_PROPERTIES désactivé). ObjectMapper et TokenStreamFactory sont désormais immutables, la configuration se fait via des builders. Passage à des exceptions de base non vérifiées (JacksonException) pour plus de commodité. Intégration des "modules Java 8" (pour les noms de paramètres, Optional, java.time) directement dans l'ObjectMapper par défaut. Amélioration du modèle d'arbre JsonNode (plus de configurabilité, meilleure gestion des erreurs). Testcontainers Java 2.0 est sorti https://github.com/testcontainers/testcontainers-java/releases/tag/2.0.0 Removed JUnit 4 support -> ups Grails 7.0 est sortie, avec son arrivée à la fondation Apache https://grails.apache.org/blog/2025-10-18-introducing-grails-7.html Sortie d'Apache Grails 7.0.0 annoncée le 18 octobre 2025. Grails est devenu un projet de premier niveau (TLP) de l'Apache Software Foundation (ASF), graduant d'incubation. Mise à jour des dépendances vers Groovy 4.0.28, Spring Boot 3.5.6, Jakarta EE. Tout pour bien démarrer et développer des agents IA avec ADK pour Java https://glaforge.dev/talks/2025/10/22/building-ai-agents-with-adk-for-java/ Guillaume a partagé plein de resources sur le développement d'agents IA avec ADK pour Java Un article avec tous les pointeurs Un slide deck et l'enregistrement vidéo de la présentation faite lors de Devoxx Belgique Un codelab avec des instructions pour démarrer et créer ses premiers agents Plein d'autres samples pour s'inspirer et voir les possibilités offertes par le framework Et aussi un template de projet sur GitHub, avec un build Maven et un premier agent d'exemple Cloud Internet cassé, du moins la partie hébergée par AWS #hugops https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/ Panne majeure d'AWS (région US-EAST-1) : problème DNS affectant DynamoDB, service fondamental, causant des défaillances en cascade de nombreux services internet. Réponse lente : 75 minutes pour identifier la cause profonde; la page de statut affichait initialement "tout va bien". Cause sous-jacente principale : "fuite des cerveaux" (départ d'ingénieurs AWS seniors). Perte de connaissances institutionnelles : des décennies d'expertise critique sur les systèmes AWS et les modes de défaillance historiques parties avec ces départs. Prédictions confirmées : un ancien d'AWS avait anticipé une augmentation des pannes majeures en 2024. Preuves de la perte de talents : Plus de 27 000 licenciements chez Amazon (2022-2025). Taux élevé de "départs regrettés" (69-81%). Mécontentement lié à la politique de "Return to Office" et au manque de reconnaissance de l'expertise. Conséquences : les nouvelles équipes, plus réduites, manquent de l'expérience nécessaire pour prévenir les pannes ou réduire les temps de récupération. Perspective : Le marché pourrait pardonner cette fois, mais le problème persistera, rendant les futurs incidents plus probables. Web React a gagné "par défaut" https://www.lorenstew.art/blog/react-won-by-default/ React domine par défaut, non par mérite technique, étouffant ainsi l'innovation front-end. Choix par réflexe ("tout le monde connaît React"), freinant l'évaluation d'alternatives potentiellement supérieures. Fondations techniques de React (V-DOM, complexité des Hooks, Server Components) vues comme des contraintes actuelles. Des frameworks innovants (Svelte pour la compilation, Solid pour la réactivité fine, Qwik pour la "resumability") offrent des modèles plus performants mais sont sous-adoptés. La monoculture de React génère une dette technique (runtime, réconciliation) et centre les compétences sur le framework plutôt que sur les fondamentaux web. L'API React est complexe, augmentant la charge cognitive et les risques de bugs, contrairement aux alternatives plus simples. L'effet de réseau crée une "prison": offres d'emploi spécifiques, inertie institutionnelle, leaders choisissant l'option "sûre". Nécessité de choisir les frameworks selon les contraintes du projet et le mérite technique, non par inertie. Les arguments courants (maturité de l'écosystème, recrutement, bibliothèques, stabilité) sont remis en question; une dépendance excessive peut devenir un fardeau. La monoculture ralentit l'évolution du web et détourne les talents, nuisant à la diversité essentielle pour un écosystème sain et innovant. Promouvoir la diversité des frameworks pour un écosystème plus résilient et innovant. WebAssembly 3 est sortie https://webassembly.org/news/2025-09-17-wasm-3.0/ Data et Intelligence Artificielle UUIDv4 ou UUIDv7 pour vos clés primaires ? Ça dépend… surtout pour les bases de données super distribuées ! https://medium.com/google-cloud/understanding-uuidv7-and-its-impact-on-cloud-spanner-b8d1a776b9f7 UUIDv4 : identifiants entièrement aléatoires. Cause des problèmes de performance dans les bases de données relationnelles (ex: PostgreSQL, MySQL, SQL Server) utilisant des index B-Tree. Inserts aléatoires réduisent l'efficacité du cache, entraînent des divisions de pages et la fragmentation. UUIDv7 : nouveau standard conçu pour résoudre ces problèmes. Intègre un horodatage (48 bits) en préfixe de l'identifiant, le rendant ordonné temporellement et "k-sortable". Améliore la performance dans les bases B-Tree en favorisant les inserts séquentiels, la localité du cache et réduisant la fragmentation. Problème de UUIDv7 pour certaines bases de données distribuées et scalables horizontalement comme Spanner : La nature séquentielle d'UUIDv7 (via l'horodatage) crée des "hotspots d'écriture" (points chauds) dans Spanner. Spanner distribue les données en "splits" (partitions) basées sur les plages de clés. Les clés séquentielles concentrent les écritures sur un seul "split". Ceci empêche Spanner de distribuer la charge et de scaler les écritures, créant un goulot d'étranglement ("anti-pattern"). Quand ce n'est PAS un problème pour Spanner : Si le taux d'écriture total est inférieur à environ 3 500 écritures/seconde pour un seul "split". Le hotspot est "bénin" à cette échelle et n'entraîne pas de dégradation de performance. Solutions pour Spanner : Principe clé : S'assurer que la première partie de la clé primaire est NON séquentielle pour distribuer les écritures. UUIDv7 peut être utilisé, mais pas comme préfixe. Nouvelle conception ("greenfield") : ▪︎ Utiliser une clé primaire non-séquentielle (ex: UUIDv4 simple). Pour les requêtes basées sur le temps, créer un index secondaire sur la colonne d'horodatage, mais le SHARDER (ex: shardId) pour éviter les hotspots sur l'index lui-même. Migration (garder UUIDv7) : ▪︎ Ajouter un préfixe de sharding : Introduire une colonne `shard` calculée (ex: `MOD(ABS(FARM_FINGERPRINT(order_id_v7)), N)`) et l'utiliser comme PREMIER élément d'une clé primaire composite (`PRIMARY KEY (shard, order_id_v7)`). Réordonner les colonnes (si clé primaire composite existante) : Si la clé primaire est déjà composite (ex: (order_id_v7, tenant_id)), réordonner en (tenant_id, order_id_v7). Cela aide si tenant_id a une cardinalité élevée et distribue bien. (Un tenant_id très actif pourrait toujours nécessiter un préfixe de sharding supplémentaire). RAG en prod, comment améliorer la pertinence des résultats https://blog.abdellatif.io/production-rag-processing-5m-documents Démarrage rapide avec Langchain + Llamaindex: prototype fonctionnel, mais résultats de production jugés "subpar" par les utilisateurs. Ce qui a amélioré la performance (par ROI): Génération de requêtes: LLM crée des requêtes sémantiques et mots-clés multiples basées sur le fil de discussion pour une meilleure couverture. Reranking: La technique la plus efficace, modifie grandement le classement des fragments (chunks). Stratégie de découpage (Chunking): Nécessite beaucoup d'efforts, compréhension des données, création de fragments logiques sans coupures. Métadonnées à l'LLM: L'injection de métadonnées (titre, auteur) améliore le contexte et les réponses. Routage de requêtes: Détecte et traite les questions non-RAG (ex: résumer, qui a écrit) via API/LLM distinct. Outillage Créer un serveur MCP (mode HTTP Streamable) avec Micronaut et quelques éléments de comparaison avec Quarkus https://glaforge.dev/posts/2025/09/16/creating-a-streamable-http-mcp-server-with-micronaut/ Micronaut propose désormais un support officiel pour le protocole MCP. Exemple : un serveur MCP pour les phases lunaires (similaire à une version Quarkus pour la comparaison). Définition des outils MCP via les annotations @Tool et @ToolArg. Point fort : Micronaut gère automatiquement la validation des entrées (ex: @NotBlank, @Pattern), éliminant la gestion manuelle des erreurs. Génération automatique de schémas JSON détaillés pour les structures d'entrée/sortie grâce à @JsonSchema. Nécessite une configuration pour exposer les schémas JSON générés comme ressources statiques. Dépendances clés : micronaut-mcp-server-java-sdk et les modules json-schema. Testé avec l'inspecteur MCP et intégration avec l'outil Gemini CLI. Micronaut offre une gestion élégante des entrées/sorties structurées grâce à son support JSON Schema riche. Un agent IA créatif : comment utiliser le modèle Nano Banana pour générer et éditer des images (en Java, avec ADK) https://glaforge.dev/posts/2025/09/22/creative-ai-agents-with-adk-and-nano-banana/ Modèles de langage (LLM) deviennent multimodaux : traitent diverses entrées (texte, images, vidéo, audio). Nano Banana (gemini-2.5-flash-image-preview) : modèle Gemini, génère et édite des images, pas seulement du texte. ADK (Agent Development Kit pour Java) : pour configurer des agents IA créatifs utilisant ce type de modèle. Application : Base pour des workflows créatifs complexes (ex: agent de marketing, enchaînement d'agents pour génération d'assets). Un vieil article (6 mois) qui illustre les problèmes du format de fichier YAML https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-from-hell YAML est extrêmement complexe malgré son objectif de convivialité humaine. Spécification volumineuse et versionnée (YAML 1.1, 1.2 diffèrent significativement). Comportements imprévisibles et "pièges" (footguns) courants : Nombres sexagésimaux (ex: 22:22 parsé comme 1342 en YAML 1.1). Tags (!.git) pouvant mener à des erreurs ou à l'exécution de code arbitraire. "Problème de la Norvège" : no interprété comme false en YAML 1.1. Clés non-chaînes de caractères (on peut devenir une clé booléenne True). Nombres accidentels si non-guillemets (ex: 10.23 comme flottant). La coloration syntaxique n'est pas fiable pour détecter ces subtilités. Le templating de documents YAML est une mauvaise idée, source d'erreurs et complexe à gérer. Alternatives suggérées : TOML : Similaire à YAML mais plus sûr (chaînes toujours entre guillemets), permet les commentaires. JSON avec commentaires (utilisé par VS Code), mais moins répandu. Utiliser un sous-ensemble simple de YAML (difficile à faire respecter). Générer du JSON à partir de langages de programmation plus puissants : ▪︎ Nix : Excellent pour l'abstraction et la réutilisation de configuration. Python : Facilite la création de JSON avec commentaires et logique. Gros binz dans la communauté Ruby, avec l'influence de grosses boîtes, et des pratiques un peu douteuses https://joel.drapper.me/p/rubygems-takeover/ Méthodologies Les qualités d'une bonne documentation https://leerob.com/docs Rapidité Chargement très rapide des pages (préférer statique). Optimisation des images, polices et scripts. Recherche ultra-rapide (chargement et affichage des résultats). Lisibilité Concise, éviter le jargon technique. Optimisée pour le survol (gras, italique, listes, titres, images). Expérience utilisateur simple au départ, complexité progressive. Multiples exemples de code (copier/coller). Utilité Documenter les solutions de contournement (workarounds). Faciliter le feedback des lecteurs. Vérification automatisée des liens morts. Matériel d'apprentissage avec un curriculum structuré. Guides de migration pour les changements majeurs. Compatible IA Trafic majoritairement via les crawlers IA. Préférer cURL aux "clics", les prompts aux tutoriels. Barre latérale "Demander à l'IA" référençant la documentation. Prêt pour les agents Faciliter le copier/coller de contenu en Markdown pour les chatbots. Possibilité de visualiser les pages en Markdown (ex: via l'URL). Fichier llms.txt comme répertoire de fichiers Markdown. Finition soignée Zones de clic généreuses (boutons, barres latérales). Barres latérales conservant leur position de défilement et état déplié. Bons états actifs/survol. Images OG dynamiques. Titres/sections lienables avec ancres stables. Références et liens croisés entre guides, API, exemples. Balises méta/canoniques pour un affichage propre dans les moteurs de recherche. Localisée Pas de /en par défaut dans l'URL. Routage côté serveur pour la langue. Localisation des chaînes statiques et du contenu. Responsive Excellents menus mobiles / support Safari iOS. Info-bulles sur desktop, popovers sur mobile. Accessible Lien "ignorer la navigation" vers le contenu principal. Toutes les images avec des balises alt. Respect des paramètres système de mouvement réduit. Universelle Livrer la documentation "en tant que code" (JSDoc, package). Livrer via des plateformes comme Context7, ou dans node_modules. Fichiers de règles (ex: AGENTS.md) avec le produit. Évaluations et modèles spécifiques recommandés pour le produit. Loi, société et organisation Microsoft va imposer une politique de Return To Office https://www.businessinsider.com/microsoft-execs-explain-rto-mandate-in-internal-meeting-2025-9 Microsoft impose 3 jours de présence au bureau par semaine à partir de février 2026, débutant par la région de Seattle Le CEO Satya Nadella explique que le télétravail a affaibli les liens sociaux nécessaires à l'innovation Les dirigeants citent des données internes montrant que les employés présents au bureau "prospèrent" davantage L'équipe IA de Microsoft doit être présente 4 jours par semaine, règles plus strictes pour cette division stratégique Les employés peuvent demander des exceptions jusqu'au 19 septembre 2025 pour trajets complexes ou absence d'équipe locale Amy Coleman (RH) affirme que la collaboration en personne améliore l'énergie et les résultats, surtout à l'ère de l'IA La politique s'appliquera progressivement aux 228 000 employés dans le monde après les États-Unis Les réactions sont mitigées, certains employés critiquent la perte d'autonomie et les bureaux inadéquats Microsoft rattrape ses concurrents tech qui ont déjà imposé des retours au bureau plus stricts Cette décision intervient après 15 000 licenciements en 2025, créant des tensions avec les employés Comment Claude Code est né ? (l'histoire de sa création) https://newsletter.pragmaticengineer.com/p/how-claude-code-is-built Claude Code : outil de développement "AI-first" créé par Boris Cherny, Sid Bidasaria et Cat Wu. Performance impressionnante : 500M$ de revenus annuels, utilisation multipliée par 10 en 3 mois. Adoption interne massive : Plus de 80% des ingénieurs d'Anthropic l'utilisent quotidiennement, y compris les data scientists. Augmentation de productivité : 67% d'augmentation des Pull Requests (PR) par ingénieur malgré le doublement de l'équipe. Origine : Commande CLI simple évoluant vers un outil accédant au système de fichiers, exploitant le "product overhang" du modèle Claude. Raison du lancement public : Apprendre sur la sécurité et les capacités des modèles d'IA. Pile technologique "on distribution" : TypeScript, React (avec Ink), Yoga, Bun. Choisie car le modèle Claude est déjà très performant avec ces technologies. "Claude Code écrit 90% de son propre code" : Le modèle prend en charge la majeure partie du développement. Architecture légère : Simple "shell" autour du modèle Claude, minimisant la logique métier et le code (suppression constante de code superflu). Exécution locale : Privilégiée pour sa simplicité, sans virtualisation. Sécurité : Système de permissions granulaire demandant confirmation avant chaque action potentiellement dangereuse (ex: suppression de fichiers). Développement rapide : Jusqu'à 100 releases internes/jour, 1 release externe/jour. 5 Pull Requests/ingénieur/jour. Prototypage ultra-rapide (ex: 20+ prototypes d'une fonctionnalité en quelques heures) grâce aux agents IA. Innovation UI/UX : Redéfinit l'expérience du terminal grâce à l'interaction LLM, avec des fonctionnalités comme les sous-agents, les styles de sortie configurables, et un mode "Learning". Le 1er Café IA publique a Paris https://www.linkedin.com/pulse/my-first-caf%25C3%25A9-ia-paris-room-full-curiosity-an[…]o-goncalves-r9ble/?trackingId=%2FPHKdAimR4ah6Ep0Qbg94w%3D%3D Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 5-6 novembre 2025 : Red Hat Summit: Connect Paris 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 24 novembre 2025 : Forward Data & AI Conference - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Can you tell me whether the data contained in your business systems is compliant with the US Cloud Act, Canada's law Personal Information Protection and Electronic Documents Act, or the European Union GDPR?I expect that most people would claim complete ignorance of the rules, let alone have any idea whether they are in compliance or not. There is no way you are going to check whether a cloud hosted software application is compliant if you don't even know to ask the question.The problem is that when you sign up for a particular service online, do you have any idea where that data is hosted? Where is the data centre that is processing your request? What other applications might be integrated with this application, and where are they hosted? Let me give you a simple example. If you are using Spotify for your podcast, is the podcast hosted in Sweden where the company is headquartered or in the US where you live? If you are using an AI tool like Mistral, which privacy and data sovereignty laws must you comply with? If you are using Deepseek for an AI search, is the data being sent to China? -----------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

durée : 00:39:34 - L'Invité(e) des Matins - par : Guillaume Erner, Yoann Duval - L'IA pulvérise les compteurs : entreprises valorisées à 500 milliards, salaires d'ingénieurs à sept chiffres, investissements massifs. Sommes-nous face à une bulle ? Cette révolution améliorera-t-elle nos vies ou aggravera-t-elle la crise environnementale et économique ? - réalisation : Félicie Faugère - invités : Charles Gorintin Fondateur et CTO d'ALAN; Guillaume Grallet Journaliste au Point

Unbekannte haben in der Nacht auf Sonntag im Zürcher Stadtkreis 2 einen Feuerwerkskörper auf ein vorbeifahrendes Tram geworfen. Durch die Explosion zerbarsten drei Scheiben des Trams. Ein Passagier erlitt ein Knalltrauma. Weitere Themen: · Hund «Lee vom blauen Mistral» hat in Bachenbülach Einbrecher aufgespürt. · «Auto Zürich» ist erfolgreich über die Bühne gegangen. · Die Schaffhauser Autorin Andrea Külling hat ein Kinderbuch über Hochsensibilität geschrieben.

In this conversation with Malte Ubl, CTO of Vercel (http://x.com/cramforce), we explore how the company is pioneering the infrastructure for AI-powered development through their comprehensive suite of tools including workflows, AI SDK, and the newly announced agent ecosystem. Malte shares insights into Vercel's philosophy of "dogfooding" - never shipping abstractions they haven't battle-tested themselves - which led to extracting their AI SDK from v0 and building production agents that handle everything from anomaly detection to lead qualification. The discussion dives deep into Vercel's new Workflow Development Kit, which brings durable execution patterns to serverless functions, allowing developers to write code that can pause, resume, and wait indefinitely without cost. Malte explains how this enables complex agent orchestration with human-in-the-loop approvals through simple webhook patterns, making it dramatically easier to build reliable AI applications. We explore Vercel's strategic approach to AI agents, including their DevOps agent that automatically investigates production anomalies by querying observability data and analyzing logs - solving the recall-precision problem that plagues traditional alerting systems. Malte candidly discusses where agents excel today (meeting notes, UI changes, lead qualification) versus where they fall short, emphasizing the importance of finding the "sweet spot" by asking employees what they hate most about their jobs. The conversation also covers Vercel's significant investment in Python support, bringing zero-config deployment to Flask and FastAPI applications, and their vision for security in an AI-coded world where developers "cannot be trusted." Malte shares his perspective on how CTOs must transform their companies for the AI era while staying true to their core competencies, and why maintaining strong IC (individual contributor) career paths is crucial as AI changes the nature of software development. What was launched at Ship AI 2025: AI SDK 6.0 & Agent Architecture Agent Abstraction Philosophy: AI SDK 6 introduces an agent abstraction where you can "define once, deploy everywhere". How does this differ from existing agent frameworks like LangChain or AutoGPT? What specific pain points did you observe in production that led to this design? Human-in-the-Loop at Scale: The tool approval system with needsApproval: true gates actions until human confirmation. How do you envision this working at scale for companies with thousands of agent executions? What's the queue management and escalation strategy? Type Safety Across Models: AI SDK 6 promises "end-to-end type safety across models and UI". Given that different LLMs have varying capabilities and output formats, how do you maintain type guarantees when swapping between providers like OpenAI, Anthropic, or Mistral? Workflow Development Kit (WDK) Durability as Code: The use workflow primitive makes any TypeScript function durable with automatic retries, progress persistence, and observability. What's happening under the hood? Are you using event sourcing, checkpoint/restart, or a different pattern? Infrastructure Provisioning: Vercel automatically detects when a function is durable and dynamically provisions infrastructure in real-time. What signals are you detecting in the code, and how do you determine the optimal infrastructure configuration (queue sizes, retry policies, timeout values)? Vercel Agent (beta) Code Review Validation: The Agent reviews code and proposes "validated patches". What does "validated" mean in this context? Are you running automated tests, static analysis, or something more sophisticated? AI Investigations: Vercel Agent automatically opens AI investigations when it detects performance or error spikes using real production data. What data sources does it have access to? How does it distinguish between normal variance and actual anomalies? Python Support (For the first time, Vercel now supports Python backends natively.) Marketplace & Agent Ecosystem Agent Network Effects: The Marketplace now offers agents like CodeRabbit, Corridor, Sourcery, and integrations with Autonoma, Braintrust, Browser Use. How do you ensure these third-party agents can't access sensitive customer data? What's the security model? "An Agent on Every Desk" Program Vercel launched a new program to help companies identify high-value use cases and build their first production AI agents. It provides consultations, reference templates, and hands-on support to go from idea to deployed agent

AI music startup Suno has quietly become one of the most successful companies in the entire generative AI space — $150 million in ARR, 60% margins, and millions of users creating songs for everything from podcasts and ads to lullabies and dinner parties. In today's episode, NLW explores how Suno's rise reveals a bigger story: AI isn't just automating creative work — it's expanding who gets to create and why we make things in the first place. Plus, headlines on SoftBank's $30B OpenAI deal, Mistral's new enterprise control center, and Stability AI's partnership with EA.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

Mercredi 22 octobre, Frédéric Simottel a reçu Cédric Ingrand, directeur général de Heavyweight Studio, Jérôme Colombain, journaliste, créateur du podcast « Monde Numérique », et Didier Sanz, journaliste spécialisé en informatique. Ils se sont penchés sur la formation d'agents publics avec Mistral, l'intelligence artificielle dans le monde du travail et le Galaxy XR de Samsung dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the stark reality of the future of work presented at the Marketing AI Conference, MAICON 2025. You’ll learn which roles artificial intelligence will consume fastest and why average employees face the highest risk of replacement. You’ll master the critical thinking and contextual skills you must develop now to transform yourself into an indispensable expert. You’ll understand how expanding your intellectual curiosity outside your specific job will unlock creative problem solving essential for survival. You’ll discover the massive global AI blind spot that US companies ignore and how this shifting landscape affects your career trajectory. Watch now to prepare your career for the age of accelerated automation! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-maicon-2025-generative-ai-for-marketers.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, we are at the Marketing AI Conference, Macon 2025 in Cleveland with 1,500 of our best friends. This morning, the CEO of SmartRx, formerly the Marketing AI Institute, Paul Ritzer, was talking about the future of work. Now, before I go down a long rabbit hole, Dave, what was your immediate impressions, takeaways from Paul’s talk? Katie Robbert – 00:23 Paul always brings this really interesting perspective because he’s very much a futurist, much like yourself, but he’s a futurist in a different way. Whereas you’re on the future of the technology, he’s focused on the future of the business and the people. And so his perspective was really, “AI is going to take your job.” If we had to underscore it, that was the bottom line: AI is going to take your job. However, how can you be smarter about it? How can you work with it instead of working against it? Obviously, he didn’t have time to get into every single individual solution. Katie Robbert – 01:01 The goal of his keynote talk was to get us all thinking, “Oh, so if AI is going to take my job, how do I work with AI versus just continuing to fight against it so that I’m never going to get ahead?” I thought that was a really interesting way to introduce the conference as a whole, where every individual session is going to get into their soldiers. Christopher S. Penn – 01:24 The chart that really surprised me was one of those, “Oh, he actually said the quiet part out loud.” He showed the SaaS business chart: SaaS software is $500 billion of economic value. Of course, AI companies are going, “Yeah, we want that money. We want to take all that money.” But then he brought up the labor chart, which is $12 trillion of money, and says, “This is what the AI companies really want. They want to take all $12 trillion and keep it for themselves and fire everybody,” which is the quiet part out loud. Even if they take 20% of that, that’s still, obviously, what is it, $2 trillion, give or take? When we think about what that means for human beings, that’s basically saying, “I want 20% of the workforce to be unemployed.” Katie Robbert – 02:15 And he wasn’t shy about saying that. Unfortunately, that is the message that a lot of the larger companies are promoting right now. So the question then becomes, what does that mean for that 20%? They have to pivot. They have to learn new skills, or—the big thing, and you and I have talked about this quite a bit this year—is you really have to tap into that critical thinking. That was one of the messages that Paul was sharing in the keynote: go to school, get your liberal art degree, and focus on critical thinking. AI is going to do the rest of it. Katie Robbert – 02:46 So when we look at the roles that are up for grabs, a lot of it was in management, a lot of it was in customer service, a lot of it was in analytics—things that already have a lot of automation around them. So why not naturally let agentic AI take over, and then you don’t need human intervention at all? So then, where does that leave the human? Katie Robbert – 03:08 We’re the ones who have to think what’s next. One of the things that Paul did share was that the screenwriter for all of the Scorsese films was saying that ChatGPT gave me better ideas. We don’t know what those exact prompts looked like. We don’t know how much context was given. We don’t know how much background information. But if that was sue and I, his name was Paul. Paul Schrader. Yes, I forgot it for a second. If Paul Schrader can look at Paul Schrader’s work, then he’s the expert. That’s the thing that I think needed to also be underscored: Paul Schrader is the expert in Paul Schrader. Paul Schrader is the expert in screenwriting those particular genre films. Nobody else can do that. Katie Robbert – 03:52 So Paul Schrader is the only one who could have created the contextual information for those large language models. He still has value, and he’s the one who’s going to take the ideas given by the large language models and turn them into something. The large language model might give him an idea, but he needs to be the one to flush it out, start to finish, because he’s the one who understands nuance. He’s the one who understands, “If I give this to a Leonardo DiCaprio, what is he gonna do with the role? How is he gonna think about it?” Because then you’re starting to get into all of the different complexities where no one individual ever truly works alone. You have a lot of other humans. Katie Robbert – 04:29 I think that’s the part that we haven’t quite gotten to, is sure, generative AI can give you a lot of information, give you a lot of ideas, and do a lot of the work. But when you start incorporating more humans into a team, the nuance—it’s very discreet. It’s very hard for an AI to pick up. You still need humans to do those pieces. Christopher S. Penn – 04:49 When you take a look, though, at something like the Tilly Norwood thing from a couple weeks ago, even there, it’s saying, “Let’s take fewer humans in there,” where you have this completely machine generated actor avatar, I guess. It was very clearly made to replace a human there because they’re saying, “This is great. They don’t have to pay union wages. The actor never calls in sick. The actor never takes a vacation. The actor’s not going to be partying at a club unless someone makes it do that.” When we look at that big chart of, “Here’s all the jobs that are up for grabs,” the $12 trillion of economic value, when you look at that, how at risk do you think your average person is? Katie Robbert – 05:39 The key word in there is average. An average person is at risk. Because if an average person isn’t thinking about things creatively, or if they’re just saying, “Oh, this is what I have to do today, let me just do it. Let me just do the bare minimum, get through it.” Yes, that person is at risk. But someone who looks at a problem or a task that’s in front of them and thinks, “What are the five different ways that I could approach this? Let me sit down for a second, really plan it out. What am I not thinking of? What have I not asked? What’s the information I don’t have in front of me? Let me go find that”—that person is less at risk because they are able to think beyond what’s right in front of them. Katie Robbert – 06:17 I think that is going to be harder to replace. So, for example, I do operations, I’m a CEO. I set the vision. You could theoretically give that to an AI to do. I could create CEO Katie GPT. And GPT Katie could set the vision, based on everything I know: “This is the direction that your company should go in.” What that generative AI doesn’t know is what I know—what we’ve tried, what we haven’t tried. I could give it all that information and it could still say, “Okay, it sounds like you’ve tried this.” But then it doesn’t necessarily know conversations that I’ve had with you offline about certain things. Could I give it all that information? Sure. But then now I’m introducing another person into the conversation. And as predictable as humans are, we’re unpredictable. Katie Robbert – 07:13 So you might say, “Katie would absolutely say this to something.” And I’m going to look at it and go, “I would absolutely not say that.” We’ve actually run into that with our account manager where she’s like, “Well, this is how I thought you would respond. This is how I thought you would post something on social media.” I’m like, “Absolutely not. That doesn’t sound like me at all.” She’s like, “But that’s what the GPT gave me that is supposed to sound like you.” I’m like, “Well, it’s wrong because I’m allowed to change my mind. I’m a human.” And GPTs or large language models don’t have that luxury of just changing its mind and just kind of winging it, if that makes sense. Christopher S. Penn – 07:44 It does. What percentage, based on your experience in managing people, what percentage of people are that exceptional person versus the average or the below average? Katie Robbert – 07:55 A small percentage, unfortunately, because it comes down to two things: consistency and motivation. First, you have to be consistent and do your thing well all the time. In order to be consistent, you have to be motivated. So it’s not enough to just show up, check the boxes, and then go about your day, because anybody can do that; AI can do that. You have to be motivated to want to learn more, to want to do more. So the people who are demonstrating a hunger for reaching—what do they call it?—punching above their weight, reaching beyond what they have, those are the people who are going to be less vulnerable because they’re willing to learn, they’re willing to adapt, they’re willing to be agile. Christopher S. Penn – 08:37 For a while now we’ve been saying that either you’re going to manage the machines or the machines are going to manage you. And now of course we are at the point the machine is just going to manage the machines and you are replaced. Given so few people have that intrinsic motivation, is that teachable or is that something that someone has to have—that inner desire to want to better, regardless of training? Katie Robbert – 09:08 “Teachable” I think is the wrong word. It’s more something that you have to tap into with someone. This is something that you’ve talked about before: what motivates people—money, security, blah, blah, whatever, all those different things. You can say, “I’m going to motivate you by dangling money in front of you,” or, “I’m going to motivate you by dangling time off in front of you.” I’m not teaching you anything. I’m just tapping into who you are as a person by understanding your motives, what motivates you, what gets you excited. I feel fairly confident in saying that your motivations, Chris, are to be the smartest person in the room or to have the most knowledge about your given industry so that you can be considered an expert. Katie Robbert – 09:58 That’s something that you’re going to continue to strive for. That’s what motivates you, in addition to financial security, in addition to securing a good home life for your family. That’s what motivates you. So as I, the other human in the company, think about it, I’m like, “What is going to motivate Chris to get his stuff done?” Okay, can I position it as, “If you do this, you’re going to be the smartest person in the room,” or, “If you do this, you’re going to have financial security?” And you’re like, “Oh, great, those are things I care about. Great, now I’m motivated to do them.” Versus if I say, “If you do this, I’ll get off your back.” That’s not enough motivation because you’re like, “Well, you’re going to be on my back anyway.” Katie Robbert – 10:38 Why bother with this thing when it’s just going to be the next thing the next day? So it’s not a matter of teaching people to be motivated. It’s a matter of, if you’re the person who has to do the motivating, finding what motivates someone. And that’s a very human thing. That’s as old as humans are—finding what people are passionate about, what gets them out of bed in the morning. Christopher S. Penn – 11:05 Which is a complex interplay. If you think about the last five years, we’ve had a lot of discussions about things like quiet quitting, where people show up to work to do the bare minimum, where workers have recognized companies don’t have their back at all. Katie Robbert – 11:19 We have culture and pizza on Fridays. Christopher S. Penn – 11:23 At 5:00 PM when everyone wants to just— Katie Robbert – 11:25 Go home and float in that day. Christopher S. Penn – 11:26 Exactly. Given that, does that accelerate the replacement of those workers? Katie Robbert – 11:37 When we talk about change management, we talk about down to the individual level. You have to be explaining to each and every individual, “What’s in it for me?” If you’re working for a company that’s like, “Well, what’s in it for you is free pizza Fridays and funny hack days and Hawaiian shirt day,” that doesn’t put money in their bank account. That doesn’t put a roof over their head; that doesn’t put food on their table, maybe unless they bring home one of the free pizzas. But that’s once a week. What about the other six days a week? That’s not enough motivation for someone to stay. I’ve been in that position, you’ve been in that position. My first thought is, “Well, maybe stop spending money on free pizza and pay me more.” Katie Robbert – 12:19 That would motivate me, that would make me feel valued. If you said, “You can go buy your own pizza because now you can afford it,” that’s a motivator. But companies aren’t thinking about it that way. They’re looking at employees as just expendable cogs that they can rip and replace. Twenty other people would be happy to do the job that you’re unhappy doing. That’s true, but that’s because companies are setting up people to fail, not to succeed. Christopher S. Penn – 12:46 And now with machinery, you’re saying, “Okay, since there’s a failing cog anyway, why don’t we replace it with an actual cog instead?” So where does this lead for companies? Particularly in capitalist markets where there is no strong social welfare net? Yeah, obviously if you go to France, you can work a 30-hour week and be just fine. But we don’t live in France. France, if you’re hiring, we’re available. Where does it lead? Because I can definitely see one road where this leads to basically where France ended up in 1789, which is the Guillotines. These people trot out the Guillotines because after a certain point, income inequality leads to that stuff. Where does this lead for the market as you see it now? Katie Robbert – 13:39 Unfortunately, nowhere good. We have seen time and time again, as much as we want to see the best in people, we’re seeing the worst in people today, as of this podcast recording—not at Macon. These are some of the best people. But when you step outside of this bubble, you’re seeing the worst in people. They’re motivated by money and money only, money and power. They don’t care about humanity as a whole. They’re like, “I don’t care if you’re poor, get poorer, I’m getting richer.” I feel like, unfortunately, that is the message that is being sent. “If you can make a dollar, go ahead and make a dollar. Don’t worry about what that does to anybody else. Go ahead and be in it for yourself.” Katie Robbert – 14:24 And that’s unfortunately where I see a lot of companies going: we’re just in it to make money. We no longer care about the welfare of our people. I’ve talked on previous shows, on previous podcasts. My husband works for a grocery store that was bought out by Amazon a few years ago, and he’s seeing the effects of that daily. Amazon bought this grocery chain and said basically, “We don’t actually care about the people. We’re going to automate things. We’re going to introduce artificial intelligence.” They’ve gotten rid of HR. He still has to bring home a physical check because there is no one to give him paperwork to do direct deposit. Christopher S. Penn – 15:06 He’s been—ironic given the company. Katie Robbert – 15:08 And he’s been at the company for 25 years. But when they change things over, if he has an assurance question, there’s no one to go to. They probably have chatbots and an email distribution list that goes to somebody in an inbox that never. It’s so sad to see the decline based on where the company started and what the mission originally was of that company to where it is today. His suspicion—and this is not confirmed—his suspicion is that they are gearing up to sell this business, this grocery chain, to another grocery chain for profit and get rid of it. Flipping it, basically. Right now, they’re using it as a distribution center, which is not what it’s meant to be. Katie Robbert – 15:56 And now they’re going to flip it to another grocery store chain because they’ve gotten what they needed from it. Who cares about the people? Who cares about the fact that he as an individual has to work 50 hours a week because there’s nobody else? They’ve flattened the company. They’re like, “No, based on our AI scheduler, there’s plenty of people to cover all of these hours seven days a week.” And he’s like, “Yeah, you have me on there for seven of the seven days.” Because the AI is not thinking about work-life balance. It’s like, “Well, this individual is available at these times, so therefore he must be working here.” And it’s not going to do good things for people in services industries, for people in roles that cannot be automated. Katie Robbert – 16:41 So we talk about customer service—that’s picking up the phone, logging a plate—that can be automated. Walking into a brick and mortar, there are absolutely parts of it that can be automated, specifically the end purchase transaction. But the actual ordering and picking of things and preparing it—sure, you could argue that eventually robots could be doing that, but as of today, that’s all humans. And those humans are being treated so poorly. Christopher S. Penn – 17:08 So where does that end for this particular company or any large enterprise? Katie Robbert – 17:14 They really have—they have to make decisions: do they want to put the money first or the people first? And you already know what the answer to that is. That’s really what it comes down to. When it ends, it doesn’t end. Even if they get sold, they’re always going to put the money first. If they have massive turnover, what do they care? They’re going to find somebody else who’s willing to do that work. Think about all of those people who were just laid off from the white-collar jobs who are like, “Oh crap, I still have a mortgage I have to pay, I still have a family I have to feed. Let me go get one of those jobs that nobody else is now willing to do.” Katie Robbert – 17:51 I feel like that’s the way that the future of work for those people who are left behind is going to turn over. Katie Robbert – 17:59 There’s a lot of people who are happy doing those jobs. I love doing more of what’s considered the blue-collar job—doing things manually, getting their hands in it, versus automating everything. But that’s me personally; that’s what motivates me. That I would imagine is very unappealing to you. Not that for almost. But if cooking’s off the table, there’s a lot of other things that you could do, but would you do them? Katie Robbert – 18:29 So when we talk about what’s going to happen to those people who are cut and left behind, those are the choices they’re going to have to make because there’s not going to be more tech jobs for them to choose from. And if you are someone in your career who has only ever focused on one thing, you’re definitely in big trouble. Christopher S. Penn – 18:47 Yeah, I have a friend who’s a lawyer at a nonprofit, and they’re like, “Yeah, we have no funding anymore, so.” But I can’t pick up and go to England because I can’t practice law there. Katie Robbert – 18:59 Right. I think about people. Forever, social media was it. You focus on social media and you are set. Anybody will hire you because they’re trying to learn how to master social media. Guess where there’s no jobs anymore? Social media. So if all you know is social media and you haven’t diversified your skill set, you’re cooked, you’re done. You’re going to have to start at ground zero entry level. If there’s that. And that’s the thing that’s going to be tough because entry-level jobs—exactly. Christopher S. Penn – 19:34 We saw, what was it, the National Labor Relations Board publish something a couple months ago saying that the unemployment rate for new college graduates is something 60% higher than the rest of the workforce because all the entry-level jobs have been consumed. Katie Robbert – 19:46 Right. I did a talk earlier this year at WPI—that’s Worcester Polytech in Massachusetts—through the Women in Data Science organization. We were answering questions basically like this about the future of work for AI. At a technical college, there are a lot of people who are studying engineering, there are a lot of people who are studying software development. That was one of the first questions: “I’m about to get my engineering degree, I’m about to get my software development degree. What am I supposed to do?” My response to that is, you still need to understand how the thing works. We were talking about this in our AI for Analytics workshop yesterday that we gave here at Macon. In order to do coding in generative AI effectively, you have to understand the software development life cycle. Katie Robbert – 20:39 There is still a need for the expertise. People are asking, “What do I do?” Focus on becoming an expert. Focus on really mastering the thing that you’re passionate about, the thing that you want to learn about. You’ll be the one teaching the AI, setting up the AI, consulting with the people who are setting up the AI. There’ll be plenty of practitioners who can push the buttons and set up agents, but they still need the experts to tell them what it’s supposed to do and what the output’s supposed to be. Christopher S. Penn – 21:06 Do you see—this is kind of a trick question—do you see the machines consuming that expertise? Katie Robbert – 21:15 Oh, sure. But this is where we go back to what we were talking about: the more people, the more group think—which I hate that term—but the more group think you introduce, the more nuanced it is. When you and I sit down, for example, when we actually have five minutes to sit down and talk about the future of our business, where we want to go or what we’re working on today, the amount of information we can iterate on because we know each other so well and almost don’t have to speak in complete sentences and just can sort of pick up what the other person is thinking. Or I can look at something you’re writing and say, “Hey, I had an idea about that.” We can do that as humans because we know each other so well. Katie Robbert – 21:58 I don’t think—and you’re going to tell me this is going to happen—unless we can actually plug or forge into our brains and download all of the things. That’s never going to happen. Even if we build Katie GPT and Chris GPT and have them talk to each other, they’re never going to brainstorm the way you and I brainstorm in real life. Especially if you give me a whiteboard. I’m good. I’m going to get so much done. Christopher S. Penn – 22:25 For people who are in their career right now, what do they do? You can tell somebody, “You need to be a good critical thinker, a creative thinker, a contextual thinker. You need to know where your data lives and things like that.” But the technology is advancing at such a fast rate. I talk about this in the workshops that we do—which, by the way, Trust Insights is offering workshops at your company, if we like one. But one of the things to talk about is, say, with the model’s acceleration in terms of growth, they’re growing faster than any technology ever has. They went from face rolling idiot in 2023 right to above PhD level in everything two years later. Christopher S. Penn – 23:13 So the people who, in their career, are looking at this, going, “It’s like a bad Stephen King movie where you see the thing coming across the horizon.” Katie Robbert – 23:22 There is no such thing as a bad Stephen King movie. Sometimes the book is better, but it’s still good. But yes, maybe *Creepshow*. What do you mean in terms of how do they prepare for the inevitable? Christopher S. Penn – 23:44 Prepare for the inevitable. Because to tell somebody, “Yeah, be a critical thinker, be a contextual thinker, be a creative thinker”—that’s good in the abstract. But then you’re like, “Well, my—yeah, my—and my boss says we’re doing a 10% headcount reduction this week.” Katie Robbert – 24:02 This is my personal way of approaching it: you can’t limit yourself to just go, “Okay, think about it. Okay, I’m thinking.” You actually have to educate yourself on a variety of different things. I am a voracious reader. I read all the time when I’m not working. In the past three weeks, I’ve read four books. And they’re not business books; they are fiction books and on a variety of things. But what that does is it keeps my brain active. It keeps my brain thinking. Then I give myself the space and time. When I walk my dog, I sort of process all of it. I think about it, and then I start thinking about, “What are we doing as our company today?” or, “What’s on the task list?” Katie Robbert – 24:50 Because I’ve expanded my personal horizons beyond what’s right in front of me, I can think about it from the perspective of other people, fictional or otherwise, “How would this person approach it?” or, “What would I do in that scenario?” Even as I’m reading these books, I start to think about myself. I’m like, “What would I do in that scenario? What would I do if I was finding myself on a road trip with a cannibal who, at the end of the road trip, was likely going to consume all of me, including my bones?” It was the last book I read, and it was definitely not what I thought I was signing up for. But you start to put yourself in those scenarios. Katie Robbert – 25:32 That’s what I personally think unlocks the critical thinking, because you’re not just stuck in, “Okay, I have a math problem. I have 1 + 1.” That’s where a lot of people think critical thinking starts and ends. They think, “Well, if I can solve that problem, I’m a critical thinker.” No, there’s only one way to solve that problem. That’s it. I personally would encourage people to expand their horizons, and this comes through having hobbies. You like to say that you work 24/7. That’s not true. You have hobbies, but they’re hobbies that help you be creative. They’re hobbies that help you connect with other people so that you can have those shared experiences, but also learn from people from different cultures, different backgrounds, different experiences. Katie Robbert – 26:18 That’s what’s going to help you be a stronger, fitable thinker, because you’re not just thinking about it from your perspective. Christopher S. Penn – 26:25 Switching gears, what was missing, what’s been missing, and what is absent from this show in the AI space? I have an answer, but I want to hear yours. Katie Robbert – 26:36 Oh, boy. Really putting me on the spot here. I know what is missing. I don’t know. I’m going to think about it, and I am going to get back to you. As we all know, I am not someone who can think on my feet as quickly as you can. So I will take time, I will process it, but I will come back to you. What do you think is missing? Christopher S. Penn – 27:07 One of the things that is a giant blind spot in the AI space right now is it is a very Western-centric view. All the companies say OpenAI and Anthropic and Google and Meta and stuff like that. Yet when you look at the leaderboards online of whose models are topping the charts—Cling Wan, Alibaba, Quinn, Deepseek—these are all Chinese-made models. If you look at the chip sets being used, the government of China itself just issued an edict: “No more Nvidia chips. We are going to use Huawei Ascend 920s now,” which are very good at what they do. And the Chinese models themselves, these companies are just giving them away to the world. Christopher S. Penn – 27:54 They’re not trying to lock you in like a ChatGPT is. The premise for them, for basically the rest of the world that is in America, is, “Hey, you could take American AI where you’re locked in and you’re gonna spend more and more money, or here’s a Chinese model for free and you can build your national infrastructure on the free stuff that we’re gonna give you.” I’ve seen none of that here. That is completely absent from any of the discussions about what other nations are doing with AI. The EU has Mistral and Black Forest Labs, Sub-Saharan Africa has Lilapi AI. Singapore has Sea Lion, Korea has LG, the appliance maker, and their models. Of course, China has a massive footprint in the space. I don’t see that reflected anywhere here. Christopher S. Penn – 28:46 It’s not in the conversations, it’s not in the hallways, it’s not on stage. And to me, that is a really big blind spot if you think—as many people do—that that is your number one competitor on the world stage. Katie Robbert – 28:57 Why do you think? Christopher S. Penn – 29:01 That’s a very complicated question. But it involves racism, it involves a substantial language barrier, it involves economics. When your competitor is giving away everything for free, you’re like, “Well, let’s just pretend they’re not there because we don’t want to draw any attention to them.” And it is also a deep, deep-seated fear. When you look at all of the papers that are being submitted by Google and Facebook and all these other different companies and you look at the last names of the principal investigators and stuff, nine out of 10 times it’s a name that’s coded as an ethnic Chinese name. China produces more PhDs than I think America produces students, just by population dynamics alone. You have this massive competitor, and it almost feels like people just want to put their heads in the sand and say they’re not there. Christopher S. Penn – 30:02 It’s like the boogeyman, they’re not there. And yet if we’re talking about the deployment of AI globally, the folks here should be aware that is a thing that is not just the Sam Alton Show. Katie Robbert – 30:18 I think perhaps then, as we’re talking about the future of work and big companies, small companies, mid-sized companies, this goes sort of back to what I was saying: you need to expand your horizons of thinking. “Well, we’re a domestic company. Why do I need to worry about what China’s doing?” Take a look at your tech stack, and where are those software packages created? Who’s maintaining them? It’s probably not all domestic; it’s probably more of a global firm than you think you are. But we think about it in terms of who do we serve as customers, not what we are using internally. We know people like Paul has talked about operating systems, Ginny Dietrich has talked about operating systems. Katie Robbert – 31:02 That’s really sort of where you have to start thinking more globally in terms of, “What am I actually bringing into my organization?” Not just my customer base, not just the markets that I’m going after, not just my sales team territories, but what is actually powering my company. That’s, I think, to your point—that’s where you can start thinking more globally even if your customer base isn’t global. That might theoretically help you with that critical thinking to start expanding beyond your little homogeneous bubble. Christopher S. Penn – 31:35 Even something like this has been a topic in the news recently. Rare earth minerals, which are not rare, they’re actually very commonplace. There’s just not much of them in any one spot. But China is the only economy on the planet that has figured out how to industrialize them safely. They produce 85% of it on the planet. And that powers your smartphone, that powers your refrigerator, your car and, oh by the way, all of the AI chips. Even things like that affect the future of work and the future of AI because you basically have one place that has a monopoly on this. The same for the Netherlands. The Netherlands is the only country on the planet that produces a certain kind of machine that is used to create these chips for AI. Christopher S. Penn – 32:17 If that company goes away or something, the planet as a whole is like, “Well, I figured they need to come up with an alternative.” So to your point, we have a lot of these choke points in the AI value chain that could be blockers. Again, that’s not something that you hear. I’ve not heard that at any conference. Katie Robbert – 32:38 As we’re thinking about the future of work, which is what we’re talking about on today’s podcast at Macon, 1,500 people in Cleveland. I guarantee they’re going to do it again next year. So if you’re not here this year, definitely sign up for next year. Take a look at the Smarter X and their academy. It’s all good stuff, great people. I think—and this was the question Paul was asking in his keynote—”Where do we go from here?” The— Katie Robbert – 33:05 The atmosphere. Yes. We don’t need—we don’t need to start singing. I do not need. With more feeling. I do get that reference. You’re welcome. But one of the key takeaways is there are more questions than answers. You and I are asking each other questions, but there are more questions than answers. And if we think we have all of the answers, we’re wrong. We have the answers that are sufficient enough for today to keep our business moving forward. But we have to keep asking new questions. That also goes into that critical thinking. You need to be comfortable not knowing. You need to be comfortable asking questions, and you need to be comfortable doing that research and seeking it out and maybe getting it wrong, but then continuing to learn from it. Christopher S. Penn – 33:50 And the future of work, I mean, it really is a very cloudy crystal wall. We have no idea. One of the things that Paul pointed out really well was you have different scaling laws depending on where you are in AI. He could have definitely spent some more time on that, but I understand it was a keynote, not a deep dive. There’s more to that than even that. And they do compound each other, which is what’s creating this ridiculously fast pace of AI evolution. There’s at least one more on the way, which means that the ability for these tools to be superhuman across tasks is going to be here sooner than people think. Paul was saying by 2026, 2027, that’s what we’ll start to see. Robotics, depends on where you are. Christopher S. Penn – 34:41 What’s coming out of Chinese labs for robots is jaw dropping. Katie Robbert – 34:45 I don’t want to know. I don’t want to know. I’ve seen *Ex Machina*, and I don’t want to know. Yeah, no. To your point, I think a lot of people bury their head in the sand because of fear. But in order to, again, it sort of goes back to that critical thinking, you have to be comfortable with the uncomfortable. I’m sort of joking: “I don’t want to know. I’ve seen *Ex Machina*.” But I do want to know. I do need to know. I need to understand. Do I want to be the technologist? No. But I need to play with these tools enough that I feel I understand how they work. Yesterday I was playing in Opal. I’m going to play in N8N. Katie Robbert – 35:24 It’s not my primary function, but it helps me better understand where you’re coming from and the questions that our clients are asking. That, in a very simple way to me, is the future of work: that at least I’m willing to stretch myself and keep exploring and be uncomfortable so that I can say I’m not static. Christopher S. Penn – 35:46 I think one of the things that 3M was very well known for in the day was the 20% rule, where an employee, as part of their job, could have 20% of the time just work on side projects related to the company. That’s how Post-it Notes got invented, I think. I think in the AI forward era that we’re in, companies do need to make that commitment again to the 20% rule. Not necessarily just messing around, but specifically saying you should be spending 20% of your time with AI to figure out how to use it, to figure out how to do some of those tasks yourself, so that instead of being replaced by the machine, you’re the one who’s at least running the machine. Because if you don’t do that, then the person in the next cubicle will. Christopher S. Penn – 36:33 And then the company’s like, “Well, we used to have 10 people, we only need two. And you’re not one of the two who has figured out how to use this thing to do that. So out you go.” Katie Robbert – 36:41 I think that was what Paul was doing in his AI for Productivity workshop yesterday, was giving people the opportunity to come up with those creative ideas. Our friend Andy Crestadino was relaying a story yesterday to us of a very similar vein where someone was saying, “I’ll give you $5,000. Create whatever you want.” And the thing that the person created was so mind-blowing and so useful that he was like, “Look what happens when I just let people do something creative.” But if we bring it sort of back whole circle, what’s the motivation? Why are people doing it in the first place? Katie Robbert – 37:14 It has to be something that they’re passionate about, and that’s going to really be what drives the future of work in terms of being able to sustain while working alongside AI, versus, “This is all I know how to do. This is all I ever want to know how to do.” Yes, AI is going over your job. Christopher S. Penn – 37:33 So I guess wrapping up, we definitely want you thinking creatively, critically, contextually. Know where your data is, know where your ideas come from, broaden your horizons so that you have more ideas, and be able to be one of the people who knows how to call BS on the machines and say, “That’s completely wrong, ChatGPT.” Beyond that, everyone has an obligation to try to replace themselves with the machines before someone else does it to you. Katie Robbert – 38:09 I think again, to plug Macon, which is where we are as we’re recording this episode, this is a great starting point for expanding your horizons because the amount of people that you get to network with are from different companies, different experiences, different walks of life. You can go to the sessions, learn it from their point of view. You can listen to Paul’s keynote. If you think you already know everything about your job, you’re failing. Take the time to learn where other people are coming from. It may not be immediately relevant to you, but it could stick with you. Something may resonate, something might spark a new idea. Katie Robbert – 38:46 I feel like we’re pretty far along in our AI journey, but in sitting in Paul’s keynote, I had two things that stuck out to me: “Oh, that’s a great idea. I want to go do that.” That’s great. I wouldn’t have gotten that otherwise if I didn’t step out of my comfort zone and listen to someone else’s point of view. That’s really how people are going to grow, and that’s that critical thinking—getting those shared experiences and getting that brainstorming and just community. Christopher S. Penn – 39:12 Exactly. If you’ve got some thoughts about how you are approaching the future of work, pop on by our free Slack group. Go to trust insights AI analysts for marketers, where you and over 4,500 other marketers are asking and answering each other’s questions every single day. Wherever you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights AI Ti Podcast, where you can find us all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. 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Dimanche (19 octobre 2025), la Bolivie basculera officiellement à droite. Le second tour de l'élection présidentielle verra s'affronter le conservateur Jorge Quiroga et le candidat de centre-droit Rodrigo Paz Pereria. Tous les deux ont beaucoup parlé pendant la campagne de la lutte contre le trafic de drogue qui augmente dans le pays depuis quelques années, promettant une approche musclée. Après 20 ans de politiques favorables aux cocaleros, le retour de la droite au pouvoir devrait marquer un vrai tournant dans un pays où la culture de coca est légale par endroits. Reportage de notre correspondant, Nils Sabin.   Départ de l'amiral américain chargé de superviser les frappes dans les Caraïbes Les États-Unis ont à nouveau bombardé ce jeudi (16 octobre) un navire qui, selon eux, transportait de la drogue, et naviguait dans les Caraïbes. C'est la sixième frappe de ce genre depuis début septembre 2025 et le déploiement de navires de guerre américains dans la zone, et pour la première fois, il y aurait des survivants, selon CBS, CNN et NBC. Cette stratégie agressive des États-Unis est loin de faire l'unanimité. L'amiral Alvin Holsey, commandant des forces américaines pour l'Amérique du Sud et l'Amérique centrale, quittera la Marine le 12 décembre. Il part au bout d'un an alors que normalement, on reste trois ans à ce poste, et alors qu'est en cours la plus grosse opération qu'il ait eue à gérer pendant ses 37 ans de carrière, relève le New York Times. C'est un «départ soudain et surprenant», renchérit le Washington Post. Alvin Holsey n'a pas justifié sa décision, mais d'après le New York Times, l'amiral n'est pas d'accord avec cette intervention dans les Caraïbes. Une intervention décidée par la Maison Blanche sans qu'il ne soit vraiment consulté et dont la légalité interroge, rappelle encore le quotidien. Pour de nombreux experts, Donald Trump n'a pas le droit de tuer des trafiquants de drogue présumés comme s'ils appartenaient à une armée ennemie. Il devrait les arrêter et les traduire en justice. Le journal souligne également qu'Alvin Holsey a rendu public son départ au lendemain de l'annonce par Donald Trump d'opérations clandestines de la CIA au Venezuela.   A. Holsey poussé vers la sortie ? Pour le Washington Post, Alvin Holsey ne serait pas parti de lui-même. Il aurait été poussé vers la sortie par Pete Hegseth qui voulait s'en débarrasser depuis un mois. Le ministre de la Défense estime que l'armée en a trop fait en matière d'inclusion et de diversité. Or, Alvin Holsey est noir. C'est même le premier Afro-Américain à occuper le poste de commandant des forces américaines pour l'Amérique du Sud et l'Amérique centrale, insiste le Miami Herald. Le New York Times, lui aussi, y voit un facteur d'explication : comme Alvin Holsey, une douzaine de hauts responsables militaires américains ont quitté l'armée depuis le retour de Donald Trump au pouvoir et la plupart d'entre eux étaient noirs, précise le journal. Ou bien des femmes, complète le Washington Post.   La vice-présidente vénézuélienne dément négocier avec Washington le départ de Nicolas Maduro «FAKE !!», a écrit Delcy Rodriguez sur Telegram après des révélations du Miami Herald qui affirme que la vice-présidente a offert aux États-Unis à deux reprises, en avril et en septembre, de remplacer le président vénézuélien. Des offres de services faites par l'intermédiaire du Qatar et avec l'accord de Nicolas Maduro. Delcy Rodriguez se serait présentée comme «une version adoucie du chavisme conçue pour permettre une transition sans rupture brutale et sans démanteler les structures fondamentales du régime», explique encore le Miami Herald.   Nouvelle flambée de choléra en Haïti Gazette Haïti a pu consulter une note officielle publiée le 15 octobre par le ministère de la Santé. Selon ce document, 112 cas suspects ont été recensés. 10 sont confirmés. Il y a déjà eu 2 décès et 43 personnes sont hospitalisées. «Après plusieurs mois de relative accalmie, la maladie refait surface dans plusieurs communes de la région métropolitaine de Port-au-Prince, notamment à Delmas, Cité-Soleil et Pétion-Ville, désormais placées en alerte rouge par les autorités sanitaires», explique Gazette Haïti. Le ministère de la Santé a lancé des actions, comme la désinfection de sources d'eau. Mais, écrit le journal, «cette résurgence du choléra rappelle la fragilité du système sanitaire haïtien face aux crises hydriques et environnementales, mais aussi la nécessité d'une mobilisation collective pour éviter une propagation à grande échelle.» Toujours la faim en Haïti Près de la moitié de la population haïtienne souffre de faim aiguë, tant dans les zones rurales que dans les villes. Pour remédier à cette situation, il faut non seulement une aide d'urgence mais aussi un soutien plus durable pour que les Haïtiens arrivent à préserver des moyens de se nourrir et à produire de meilleurs aliments. C'est le message de la FAO, l'organisation des Nations unies pour l'alimentation et l'agriculture. Alice Froussard a interviewé son représentant en Haïti, Pierre Vauthier.   Le Chili à la conquête de l'IA Après Chat GPT ou Gemini aux US, Deepseek en Chine ou encore Mistral en France, il y aura peut-être bientôt Latam GPT. Le Chili qui espère se faire une place dans le secteur crucial de l'intelligence artificielle générative, multiplie les projets et investit dans des infrastructures. C'est un reportage de Naïla Derroisné.   Le journal de la 1ère Construire un avenir différent à condition de le faire ensemble. C'est l'appel lancé ce jeudi (16 octobre 2025) par le président de l'Association Martiniquaise pour la promotion de l'industrie.

In 1945, the Nobel Committee awarded its prize for literature to Gabriela Mistral (1889-1957) "for her lyric poetry which, inspired by powerful emotions, has made her name a symbol of the idealistic aspirations of the entire Latin American world." Born in a rural Andean valley and abandoned by her free-spirited father at the age of three, Mistral struggled for the right to be a teacher - and then went on to help reform the Chilean educational system to improve the lives of women and the impoverished. After experiencing heartbreak and several tragedies, her poetry collection Desolación ("Desolation" or "Despair") (1922) made her one of Latin America's most revered writers. In this episode, Jacke looks at the life and works of this remarkable poet, whose constant search for truths in nature and humanity informed a body of work that continues to delight and inspire. Join Jacke on a trip through literary England (signup closing soon)! The History of Literature Podcast Tour is happening in May 2026! Act now to join Jacke and fellow literature fans on an eight-day journey through literary England in partnership with ⁠⁠⁠John Shors Travel⁠⁠⁠. Scheduled stops include The Charles Dickens Museum, Dr. Johnson's house, Jane Austen's Bath, Tolkien's Oxford, Shakespeare's Globe Theater, and more. Find out more by emailing jackewilsonauthor@gmail.com or masahiko@johnshorstravel.com, or by contacting us through our website ⁠⁠⁠historyofliterature.com⁠⁠⁠. Or visit the ⁠⁠⁠History of Literature Podcast Tour itinerary⁠⁠⁠ at ⁠⁠⁠John Shors Travel⁠⁠⁠. The music in this episode is by Gabriel Ruiz-Bernal. Learn more at ⁠⁠⁠gabrielruizbernal.com⁠⁠. Help support the show at ⁠⁠⁠patreon.com/literature ⁠⁠⁠or ⁠⁠⁠historyofliterature.com/donate ⁠⁠⁠. The History of Literature Podcast is a member of Lit Hub Radio and the Podglomerate Network. Learn more at ⁠⁠⁠thepodglomerate.com/historyofliterature⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Een zeer twijfelachtige vooruitblik, maar toch ging het aandeel flink omhoog. ASML stunt vandaag op de beurs. Het was zelfs weer even het meest waardevolle bedrijf van Europa!Deze aflevering kijken we hoe waardevol de kwartaalcijfers, maar vooral de vooruitblik van ASML is. Waarom zijn beleggers zo enthousiast over een (in feite) waarschuwing? Dat proberen we uit te zoeken voor je, maar we hebben meer. Bijvoorbeeld de stunt van LVMH. Er is weer sprake van groei en dat zag niemand aankomen. De beurskoers van niet alleen LVMH schoot omhoog, ook van alle concurrenten. Beleggers denken dat het herstel is ingezet.De polonaise zetten beleggers in ieder geval niet in als het om de handelsoorlog gaat. Trump en Xi Jinping vechten nu om bakolie en sojabonen. Met gevolg dat de beurs flink naar beneden gaat. Toch doet de Amerikaanse minister van Financiën, Scott Bessent, een opvallende uitspraak. Ook al daalt de beurs hard, de Amerikanen blijven doorgaan met hun strijd tegen de Chinezen.See omnystudio.com/listener for privacy information.

Een nieuw #Nerdland maandoverzicht! Met deze maand: Dinogeluiden! Lieven in de USA! Ignobelprijzen! Neptermieten! Spiercheaten! Website op een vape! En veel meer... Shownotes: https://podcast.nerdland.be/nerdland-maandoverzicht-oktober-2025/ Gepresenteerd door Lieven Scheire met Peter Berx, Jeroen Baert, Els Aerts, Bart van Peer en Kurt Beheydt. Opname, montage en mastering door Jens Paeyeneers en Els Aerts. (00:00:00) Intro (00:01:42) Lieven, Hetty en Els waren op bezoek bij Ötzi (00:03:28) Inhoud onderzocht van 30.000 jaar oude “gereedschapskist” rugzak (00:04:47) Is er leven gevonden op Mars? (00:09:02) Dwergplaneet Ceres was ooit bewoonbaar (00:10:50) Man sleurt robot rond aan een ketting (demo Any2track) (00:15:02) Nieuwe Unitree robot hond A2 stellar explorer heeft waanzinnig goed evenwicht, en kan een mens dragen (00:17:09) “Wat is een diersoort”? De ene mierensoort baart een andere… (00:26:12) Dinogeluiden nabootsen met 3D prints (00:35:19) **Inca death wistle** (00:36:52) Hoe is het nog met 3I/ATLAS (00:45:13) Nieuwe AI hack: verborgen prompts in foto's (00:52:59) Einsteintelescoop: België zet de ambities kracht bij (00:57:44) DeepMind ontwikkelt AI om LIGO te helpen bij zwaartekrachtsgolvendetectie (01:03:13) Ook podcast over ET: “ET voor de vrienden”, met Bert Verknocke (01:03:50) SILICON VALLEY NEWS (01:04:04) Lieven was in Silicon Valley (01:16:39) Familie meldt dat een Waymo-taxi doelloos rondhangt bij hun huis (01:18:43) Meta lanceert smart glasses en het demoduiveltje stuurt alles in de war (01:27:51) Mark Zuckerberg klaagt Mark Zuckerberg aan omdat hij van Facebook gesmeten wordt. (dat is wel heel erg Meta) (01:30:39) Eerste testen met Hardt Hyperloop in Rotterdam, 700 km/u (01:34:11) Ignobelprijzen (01:42:00) Extreme mimicry: kever draagt neptermiet op de rug (01:45:54) Gamer bouwt aim assist die rechtstreeks op zijn spieren werkt (01:51:38) “Bogdan The Geek” host een website op een wegwerpvape (01:54:16) Hoe moet je iemand reanimeren in de ruimte? (02:00:29) Esdoornmotten gebruiken disco-gen om dag/nacht ritme te regelen (02:05:45) Nieuwe studie Stanford toont alweer gezondheidsrisico's uurwissel aan (02:08:59) AI nieuws (02:09:18) Geoffrey Hinton zijn lief maakt het af via ChatGPT (02:10:01) ASML steekt 1,3 miljard euro in Mistral (02:12:15) Idiote stunt in Shangai: robot ingeschreven als PhD student (02:13:42) Idiote stunt in Albanië: ai benoemd tot minister (02:16:29) RECALLS (02:17:15) Leuke wetenschappelijke pubquiz van New Scientist (02:17:57) Emilie De Clerck is allergisch geworden voor vlees door een tekenbeet in België! Ze kan wel nog smalneusapen eten, zoals bavianen of mensen (02:19:26) Het is niet Peter Treurlings, maar Peter Teurlings van Tech United (02:19:47) Technopolis doet twee avonden open alleen voor volwassenen: 17 oktober en 6 maart. Night@Technopolis (02:23:41) ZELFPROMO (02:29:25) SPONSOR TUC RAIL

Plus: Stellantis expands its partnership with Mistral to speed up AI adoption across its operations. And automakers brace for a plunge in EV sales after tax credit expires. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to another EUVC Podcast, where we gather Europe's venture family to share the stories, insights, and lessons that drive our ecosystem forward.Today, we dive into the announcement of Ventech's Fund VI, which has closed at €175M — the firm's largest fund yet, with an impressive 95% LP re-up rate. To unpack it all, Andreas Munk Holm sits down with Stephan Wirries, General Partner at Ventech. From AI and industrial software to European sovereignty and late-stage capital markets, Stephan shares how Ventech is positioning itself for the next decade — and why Europe still has structural gaps to fix if it wants to scale globally.

Les répliques des secousses politiques américaines qui bousculent la tech, avec l'affaire des visas très chers, Disney, TikTok et YouTube. On parle aussi des paris des géants de l'intelligence artificielle, notamment dans le domaine de la robotique, de Google à Meta en passant par OpenAI et Mistral. Et pour finir, quelques changements concrets pour les […]

(Último domingo de septiembre: Día Internacional de la Biblia) «Para mí —escribió Pablo Neruda en 1954— los libros fueron como la misma selva en que me perdía, en que continuaba perdiéndome. Eran otras flores deslumbradoras, otros altos follajes sombríos, misterioso silencio, sonidos celestiales, pero también la vida de los hombres más allá de los cerros, más allá de los helechos, más allá de la lluvia. »Por ese tiempo —continúa narrando Neruda— llegó a Temuco una señora alta, con vestidos muy largos, y zapatos de tacón bajo.... Era la directora del liceo. Venía de nuestra ciudad austral, de las nieves de Magallanes.... La vi muy pocas veces, porque yo temía el contacto de los extraños a mi mundo. »... Tenía una sonrisa ancha y blanca en su rostro moreno por la sangre y la intemperie... sonrisa entre pícara y fraternal y... ojos que se fruncían picados por la nieve o la luz de la pampa. »No me extrañó cuando de entre sus ropas sacerdotales sacaba libros que me entregaba y que fui devorando. Ella me hizo leer los primeros grandes nombres de la literatura rusa que tanta influencia tuvieron sobre mí. »Luego se vino al Norte. No la eché de menos porque ya tenía miles de compañeros, las vidas atormentadas de los libros. Ya sabía dónde buscarlos.»1 Ese amor a los libros del que habla el poeta chileno Pablo Neruda, que le inculcó aquella maestra de escuela a temprana edad en Temuco, culminó en 1971 cuando se le concedió el Premio Nobel de Literatura. Pero Neruda no fue el primer poeta chileno en obtener el ansiado premio; fue el segundo. Ya hacía un cuarto de siglo, en 1945, que había obtenido el Premio Nobel su antigua mentora, que fuera por un tiempo directora de aquel liceo en Temuco, Gabriela Mistral. A propósito del amor a los libros, Gabriela misma lo practicó a lo largo y ancho de su ilustre carrera literaria y diplomática. Pero hubo un libro en particular que mereció su más alto aprecio. En el año 1919 la Mistral le regaló un hermoso ejemplar de ese magistral libro, la Santa Biblia, al Liceo No. 6 de Santiago de Chile, donde ejerció como directora. En sus páginas dejó escrita esta confesión de fe, a modo de dedicatoria, respecto al Libro Sagrado: Libro mío, libro en cualquier tiempo y en cualquier hora. Bueno y amigo para mi corazón, fuerte, poderoso compañero. Tú me has enseñado la inmensa belleza y el sencillo candor, la verdad terrible y sencilla en breves cantos. Mis mejores amigos no han sido gentes de mis tiempos; han sido los que tú me diste: David, Rut, Job, Raquel y María. Con los míos éstos son mis gentes, los que rondan en mi corazón y en mis oraciones, los que me ayudan a amar y a bien padecer... Siempre eres fresco, recién conocido... Yo te amo todo, desde el nardo de la parábola hasta el adjetivo crudo de los Números.2 Así como Pablo Neruda aprendió de Gabriela Mistral a buscar la grata compañía de los libros, aprendamos también nosotros de aquella poetisa de América a buscar la grata compañía del Libro por excelencia que ella tanto amaba. En cualquier tiempo y a cualquier hora, podemos acudir a él como fuerte y poderoso compañero. Carlos ReyUn Mensaje a la Concienciawww.conciencia.net 1 Pablo Neruda (Isla Negra, 1954), Infancia y poesía, reproducido en Pablo Neruda, Veinte poemas de amor y una canción desesperada (Bogotá: Editorial Norma, 1990), pp. 25-26, tomado del diario El Tiempo, Lecturas Dominicales, Bogotá, octubre 31 de 1971. 2 Bruno Rosario Candelier, «El lenguaje bíblico en la lírica americana», TeoLiterária, Vol. 4, No. 7, 2014, pp. 113-14 En línea 13 mayo 2020.

The agents close in on their target but the necromancer is a dangerous opponent. Chasing him through the Carcosa-infected streets is even more dangerous. Can they catch their prey? Caleb as Eli Munny, special forces Aaron as Gina Tan, CIA translator Tom as Marcus Abrams, ex-Army pilot Chris as David Nelson, FBI agent

Introducing Audit*E, a tool that evaluates company presence and content performance across eight major AI platforms, including Claude, ChatGPT, Gemini, Grok, Meta AI, Mistral, and DeepSeek.In this special episode of Politely Pushy, Bospar Principal Curtis Sparrer and Freshwater Creative Founder Jennifer Devine discuss a critical challenge businesses face today with the influence of AI-powered search engines. Tune in to learn how Audit*E addresses this challenge, differs from traditional SEO tools, and provides a modern brand management solution.

Cette semaine dans Silicon Carne !

AGENDA: [00:05] Musk's $1 Trillion Pay Package: The Breakdown? [00:15] Scale, Windsurf: Are Founders Just Mercenaries Chasing Cash Today? [00:21] Ramp at $1B ARR, Brex at $700M — Is AI Causing All Boats To Rise? [00:26] Sierra at $100M ARR Worth $10B — Bubble or Brilliant Bet? [00:30] Kleiner Perkins Invests $100M into Anthropic at $183BN… WTF? [00:36] $10B in OpenAI Secondaries — What Happens When 1,000 New Millionaires Hit SF? [00:40] Anthropic Pays $1.5B to Authors — Fair Deal or Pure Piracy? [00:44] Why Did ASML Just Invest into Mistral at $14BN? [00:52] Atlassian Buys the Browser Company for $610M — Genius Move or Panic Buy? [01:18] IRL CEO Arrested for Fraud: Is More To Come?  

durée : 00:03:15 - Géopolitique - par : Pierre  Haski  - Le poids lourd de la technologie européenne, le néerlandais ASML, investit 1,3 milliards d'euros dans la start-up française de l'intelligence artificielle Mistral, qui devient le numéro un de l'IA sur le continent ; et il lui évite de passer sous les fourches caudines d'un investisseur américain. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

Today's show:Jason heard Lina Khan on The Bulwark and got a little fired up.Plus Google doesn't have to invest in Chrome… or basically do much of anything… Atlassian picked up not just any browser company but THE Browser Company… Follow-up thoughts on that MIT “companies aren't using AI” study… AND Jason's “two stock markets” theory. It's a can't-miss Friday TWiST.Timestamps:(00:00) Sony responds to Kpop Demon Hunters success… but Jason's not buying it!(10:44) Sentry - New users get 3 months free of the Business plan (covers 150k errors). Go to http://sentry.io/twist and use code TWIST(11:10) Jason heard Lina Khan on The Bulwark and he has THOUGHTS(12:40) Google doesn't have to divest Chrome! So what ARE the remedies?(18:31) Atlassian's buying a browser company? Which one? THE Browser Company.(20:57) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech(21:22) When early DPI is better than NO DPI.(26:58) AI that helps you GET a job?! What a twist!(29:46) Jason and Alex have questions about that MIT AI study…(30:57) Public - Take your investing to the next level with Public. Build a multi-asset portfolio and earn 4.1% APY on your cash—with no fees or minimums. Start now at public.com/twist.(32:07) More Browser News! Why Jason's bullish on Brave.(35:10) Perplexed by “Perplexity”: Jason's rules for domain names(39:54) The path is cleared for Polymarket's return to the US(47:06) Jason's “Two Stock Markets” theory(53:02) Mistral looking to raise 2 billion… euro!(56:08) Jason's political philosophy: More joy and happiness(59:18) Stripe's new stablecoin blockchain has no native token! So what's it for?(01:04:12) Jason's tips for lowering your churn rate(01:11:56) How to use Reddit to uncover pain pointsSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:44) Sentry - New users get 3 months free of the Business plan (covers 150k errors). Go to http://sentry.io/twist and use code TWIST(20:57) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech(30:57) Public - Take your investing to the next level with Public. Build a multi-asset portfolio and earn 4.1% APY on your cash—with no fees or minimums. Start now at public.com/twist.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Wanna start a side hustle but need an idea? Check out our Side Hustle Ideas Database: ⁠https://clickhubspot.com/thds⁠ In today's weekly AI update with Maria Gharib, we're getting into the weeds on Apple's current AI situation with a Siri upgrade impending. Additionally, we analyze the AI industry in Europe led by the near $14B valued Mistral. Plus: JetBlue signs on with Amazon's satellite internet service and the Kelce brothers are winning the beer market. Join our host Jon Weigell as he takes you through our most interesting stories of the day. Follow us on social media: TikTok: ⁠https://www.tiktok.com/@thehustle.co⁠ Instagram: ⁠https://www.instagram.com/thehustledaily/⁠ Thank You For Listening to The Hustle Daily Show. Don't forget to hit subscribe or follow us on your favorite podcast player, so you never miss an episode! If you want this news delivered to your inbox, join millions of others and sign up for The Hustle Daily newsletter, here: ⁠https://thehustle.co/email/⁠  If you are a fan of the show be sure to leave us a 5-Star Review, and share your favorite episodes with your friends, clients, and colleagues.

Benjamin and Chance prepare to have their jaw dropped in the run up to the September 9 Apple event where we expect to see iPhone 17, Apple Watch Series 11 and maybe AirPods Pro 3. There's an interesting report on Apple's strategic calculus when it comes to acquiring other companies, and Gemini might become the brain of Siri. Also, Apple TV+ ups its monthly price by a hefty 30%.  And in Happy Hour Plus, we reflect on the last fifteen years of Apple event slogans, and whether there's a trend of decline. Subscribe at 9to5mac.com/join. Sponsored by Shopify: Grow your business no matter what stage you're in. Sign up for a $1 per month trial at shopify.com/happyhour. Sponsored by Square: Get up to $200 off Square hardware when you sign up at square.com/go/happyhour. Sponsored by HelloFresh: America's #1 meal kit! Get 10 Free Meals with a Free Item For Life at HelloFresh.com/happyhour10fm. Hosts Chance Miller @chancemiller.me on Bluesky @chancehmiller@mastodon.social @ChanceHMiller on Instagram @ChanceHMiller on Threads Benjamin Mayo @bzamayo on Twitter @bzamayo@mastodon.social @bzamayo on Threads Subscribe, Rate, and Review Apple Podcasts Overcast Spotify 9to5Mac Happy Hour Plus Subscribe to 9to5Mac Happy Hour Plus! Support Benjamin and Chance directly with Happy Hour Plus! 9to5Mac Happy Hour Plus includes:  Ad-free versions of every episode  Pre- and post-show content Bonus episodes Join for $5 per month or $50 a year at 9to5mac.com/join.  Feedback Submit #Ask9to5Mac questions on Twitter, Mastodon, or Threads Email us feedback and questions to happyhour@9to5mac.com Links Apple officially announces iPhone 17 event Apple considers Google Gemini to power next-gen Siri, internal AI ‘bake-off' underway Apple still debating Mistral and Perplexity M&A amid looming Google Search shakeup Eddy Cue wanted Apple to acquire two big companies, but Tim Cook said no Is the Camera Control button one of the biggest iPhone flops? Apple planning simplified version of the Camera Control for iPhone 18 AirPods Pro 3 just got the launch update we were all hoping for: report Rumor: AirPods Pro 3 design will borrow two changes from AirPods 4 Apple TV+ subscription price increasing to $12.99 per month from today

Protesters take over Microsoft's Building 34, objecting to the company's technology being allegedly used by Israel. Is it more than simply cybersecurity usage, and how is Microsoft handling employee activism? In other news, Gemini suddenly vaults to the front of AI image editing capability, and the OG Gears of War has been remastered at least twice (but now it's cross-platform). Windows 11 Resume from your (Android) phone in testing in Dev and Beta channels Copilot app gets semantic search and new home page across all Insider channels 25H2 feature focus: Administrator Protection probably works but it's more disruptive than even UAC was Windows 11 gets a nice Bluetooth quality update Parallels Desktop 26 for Mac is out, but it's a minor update for individuals Microsoft 365 Microsoft to fix one of the biggest issues with Word Reminder: OneNote for Windows 10 hits EOL in October AI Apple's AI floundering continues as it considers a Perplexity or Mistral acquisition And tests a Gemini AI model for Siri in-house Perplexity offers a $5 per month Comet Plus subscription that pays content makers Anthropic sort of brings Claude extension to Chrome NotebookLM audio and video overviews are now available in over 80 languages And AI Mode is now available in Search in over 180 countries Norton's AI web browser gets off to a rough start Proton Lumo gets a big update Rant: The real problem with the Windows 2030 talk, and why everyone (on both sides) is wrong about AI Dev Microsoft lets Visual Studio devs tune-down GitHub Copilot, finally Microsoft makes some progress with improving Windows App SDK, supposedly Xbox and gaming Xbox Cloud Gaming expands to Xbox Game Pass Core Standard, adds PC games for the first time Steam and other stores come to Xbox app on PC Activision says it will reverse some of the stupidity it introduced in Call of Duty: Black Ops 6 Nintendo invented the 30 percent fee that's still common today in digital app/game stores, but when it did so, the fee actually made sense... and it still does today, but only for the videogame industry Tips & Picks Tip of the week: Edit images with Gemini Tip of the week: Subscribe to Chris's new newsletter, The Windows ReadMe App pick of the week: Gears of War App pick of the week: NVIDIA Broadcast app Hosts: Leo Laporte and Paul Thurrott Guest: Chris Hoffman Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: cachefly.com/twit