Podcasts about cohere

Join us at LIMITLESS'26 October 18th - 20th. Details at https://limitless.tentenths.coHere is the deal, most agents are not capped by ability. They are capped by one belief they have never actually questioned.Josh Kerr broke a mile record that had stood for 27 years, and Matt and Garrett dig into what actually went into it, which by the way is the same thing that goes into anyone breaking any imagined barrier! Let's dig into the role intention plays, leveraging pace setters, and all the unseen energy that leads to breakthroughs. What we see in our one on one coaching, is there is usually a singular belief holding back agents and it is almost never about production. This episode is about naming that belief and testing whether it is even true.Hosted by Matt Bonelli and Garrett FreyLife at Ten Tenths. —More about coaching and the Inside Track can be found at https://tentenths.co #realestate #realtor #realestateagent #realestatecoaching #mindset #goalsetting #limitingbeliefs #businessgrowth #prospecting

On this episode of the Sports Pundit Podcast, I'm joined by Shergul Arshad, Head of North America for Aston Martin Formula One Team. Shergul walks through how a career built in global football and fantasy sports led him into F1, joining the team on the back of the growth spike triggered by Drive to Survive and stepping into a role that, at the time, didn't really exist yet. The conversation traces how that role as Head of 'North America' has evolved. What started as an evangelizing job, explaining F1 to a US market that didn't yet fully understand it, has turned into long-term sponsorship building, with Shergul personally closing nine deals in under four years, including with the likes of Cohere, CoreWeave, and Celsius. Shergul explains the team's move away from strict category exclusivity and the launch of the AMR Network, a structure that allows sponsors to collaborate with each other rather than compete for space, and how the IAM membership program is being used to capture and understand fan data. The episode closes with a look at Aston Martin's $350M Silverstone campus, home to more than 1,100 staff, and its role as both a talent magnet and a hospitality asset for the team.Timestamps01:00 - Shergul's Career Path from Football and Fantasy to F104:00 - Building Relatability in the North American Market09:00 - Sponsorship Growth Metrics and AMR's Commercial Success11:00 - Launching the AMR Network and Looking Beyond Category Exclusivity20:00 - Expanding the Driver Squad and Show Car Activations28:00 - A Silverstone Campus Tour33:00 - Exploring Future Commercial LeversAbout the HostAndy Marston is the founder of Sports Pundit, a community and media platform for sports and technology executives. Through a weekly newsletter, podcast network, lively group chat, and regular social events, he shares industry analysis and connects leaders across the sector. Alongside Sports Pundit, Andy leads Corporate Venture at athlete-backed venture firm, The Players Fund, where he works with high-profile sports IP such as Como 1907 to design venture strategies and drive innovation initiatives.

Results from SanDisk and Western Digital weigh on memory stocks. Chime shares surge after stronger-than-expected results. The fintech company's CEO joins Squawk on the Street to discuss what's driving growth. Plus, Dutch Bros CEO Christine Barone weighs in after the coffee chain's stock tumbles despite an earnings beat, explaining the outlook for the business. And a leadership shakeup at Google raises fresh questions about the company's AI strategy. Former Google Brain researcher and Cohere founder Aidan Gomez joins the show to discuss what's next in the race for artificial intelligence. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

New names: Kimi K3, Llama, Nemotron, Mistral, Cohere, Deepseek, Phi-4 – these are just a few of the fast-growing open source models from major AI providers. These systems threaten the business models and financial plans of OpenAI, Anthropic, Google, and X.ai. They perform at levels close to Frontier models and the can run up to five-times cheaper on a variety of hardware platforms. What is the disruptive impact of these open source LLMs and how does this impact your AI investments? As you'll hear in the podcast, Open Source unleashes the opportunity for lower cost AI solutions and more vertical, specialized, application-focused solutions we need. And the business model for these systems moves away from the massive investments of the Frontier providers. The result is more complicated than “open means control.” Model tuning, performance, and optimization could be in your future – as AI moves from a platform to a true layered product set we can use as we need. Lots to learn about here, let us know if you have any questions. Additional Information What's the difference between closed, open source, and open-weight AI? A researcher explains What Is Open-Weights A.I.? Comparison of Open Source Models Chapters (00:00:00) - Open Source and the AI Industry(00:11:46) - The Future of AI Is Fully Integrated(00:15:35) - HR 2030

TIMESTAMP 00:00 - Intro : Niptech 498, épisode d'été avec Matt Prof du Web01:53 - YouTube : algorithme, thématisation forcée des chaînes04:48 - Communautés payantes et memberships YouTube06:10 - Miniatures, visages et A/B testing (titres, vignettes, vidéos)07:40 - Traduction automatique des vidéos YouTube09:06 - L'app Play : écouter des podcasts YouTube avec favoris et timestamps10:16 - Coupe du monde : Mike à Kansas City pour Suisse–Argentine14:38 - L'engouement pour le soccer au Canada16:09 - Cohere : l'IA souveraine canadienne (B2B, modèles, North)19:22 - Souveraineté numérique : Europe et Canada face aux géants US22:19 - Le modèle Red Hat : open source + consulting25:47 - "Le SaaS est mort ?"29:13 - OpenRouter : l'explosion de l'usage des modèles open source30:43 - Salesforce Agentforce AI 33:58 - Pourquoi le réveil sur la sécurité et la souveraineté des données ?37:07 - Le "4e écran" : form factors IA, lunettes Meta, contexte et Copilot43:55 - Sécurité interne : quand l'IA d'entreprise protège les salaires45:44 - Robots humanoïdes : IPO chinoises, location vs achat, limites actuelles51:00 - Inspiration : live avec Olivier Clerc des 4 Accords Toltèques53:29 - Documentaire : Rafa Nadal sur Netflix55:28 - Podcast : Tim Ferriss avec Guy Oseary57:32 - Livre : La Méditerranée de Fernand Braudel 1:01:26 - L'app Play 1:02:14 - Citation de la semaine : Gavin Belson (Silicon Valley)1:05:41 - Conclusion et prochain épisodeNEWS (Europe - Canada) Avec Cohere, le Canada possède l'une des plus importantes entreprises indépendantes d'intelligence artificielle à l'extérieur des États-Unis et de la Chine. https://www.ledevoir.com/economie/techno/974714/firme-canadienne-ia-cohere-met-main-allemande-aleph-alpha « Les restrictions imposées par Anthropic doivent servir de signal d'alarme » : Cohere, l'outsider canadien de l'IA qui veut conquérir l'Europe https://www.lesechos.fr/tech-medias/intelligence-artificielle/les-restrictions-imposees-par-anthropic-doivent-servir-de-signal-dalarme-cohere-loutsider-canadien-de-lia-qui-veut-conquerir-leurope-2238159 Will SAAS software continue to exist in 10 years time ? Starbucks Just Fired A Warning Shot At Microsoft And IBM AI Apps https://www.forbes.com/sites/sandycarter/2026/07/12/starbucks-just-fired-a-warning-shot-at-microsoft-and-ibm-ai-apps/ Open-Source AI Models May Be the Biggest Shift Since Cloud Computing https://www.virtasant.com/ai-today/open-source-ai-models-may-be-the-biggest-shift-since-cloud-computing Un 4e écran pour pour faciliter de nouveaux modes de travail https://fredcavazza.net/2026/07/15/un-4e-ecran-pour-pour-faciliter-de-nouveaux-modes-de-travailRobots'Listing is a must': Chinese humanoid startups are rushing to launch IPOs Chinese robots have captivated the world. A rental market is exposing their limits INSPIRATION#EVENT :: Niptech Explore - Olivier Clerc 30.06 à Lausanne youtube.com/watch?v=WEj8ZjyMQk8&feature=youtu.be #DOCUMENTARY :: Rafa https://www.imdb.com/title/tt35052852/ #PODCAST :: The Legendary Hollywood Power Broker — Guy Oseary on 36 Years of Managing Madonna, 26 IPOs, and More https://youtu.be/-e-gDi-nB1w?si=c-UYp-LPZQgkuuiA #LIVRE: La Méditerranée et le monde méditerranéen à l'époque de Philippe II - 1. La part du milieu https://amzn.eu/d/09WX1CMh #APP Play: Regarder Plus Tard https://apps.apple.com/ca/app/play-regarder-plus-tard/id1596506190?l=fr-CA#QUOTE :: “I don't want to live in a world where someone else is making the world a better place better than we are.” Gavin Belson - Silicon Valley https://www.imdb.com/title/tt2575988/--------------------------------------------------------------------------------------------------------------------------------------------------Retrouvez-nous sur tous les réseaux NIPTECH !Site web : https://www.niptech.comFacebook : / https://www.facebook.com/niptech/Twitter : / https://x.com/niptechpodcastLinkedIn: / https://ch.linkedin.com/company/niptech-podcast Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

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Aidan Gomez on AGI, China, and the Biggest Risk Facing AI.Cohere co-founder and Transformer co-author Aidan Gomez joins Eric Newcomer to discuss whether we've already reached AGI, why Chinese AI models are being underestimated, the future of enterprise AI, sovereign AI, and why relying on a handful of AI companies could become the industry's biggest risk.If you're interested in artificial general intelligence, OpenAI, Anthropic, Cohere, Chinese AI, AI infrastructure, and the future of machine learning, this conversation offers a thoughtful look at where AI is headed next.Subscribe for weekly conversations with the founders, investors, and executives shaping the future of technology.

Aidan Gomez on AGI, China, and the Biggest Risk Facing AI.Cohere co-founder and Transformer co-author Aidan Gomez joins Eric Newcomer to discuss whether we've already reached AGI, why Chinese AI models are being underestimated, the future of enterprise AI, sovereign AI, and why relying on a handful of AI companies could become the industry's biggest risk.If you're interested in artificial general intelligence, OpenAI, Anthropic, Cohere, Chinese AI, AI infrastructure, and the future of machine learning, this conversation offers a thoughtful look at where AI is headed next.Subscribe for weekly conversations with the founders, investors, and executives shaping the future of technology.

HIVE Digital Technologies Ltd (TSX:HIVE, NASDAQ:HIVE, FRA:YO0, BVC:HIVECO) CEO Aydin Kilic joined Proactive's Stephen Gunnion to discuss the company's upsized US$115 million zero-coupon exchangeable note offering and how it will accelerate HIVE's AI infrastructure, GPU cloud and HPC ambitions. Kilic explained that the financing, originally launched at US$100 million before being upsized, offers a low-cost source of capital to support HIVE's scaling strategy, with room for further expansion. He pointed to the company's recent agreement with Cohere involving around 2,300 NVIDIA GPUs, plus another significant GPU opportunity in the pipeline, with proceeds earmarked to help finance future GPU acquisitions. The discussion also covered HIVE's Boden, Sweden facility, where municipal approval to purchase the land marks a major milestone in converting the site into a Tier III HPC data centre. Kilic said the financing will help fund the long-lead equipment needed for that upgrade. On demand, Kilic said: "People always value time and money, and that applies in the world of AI and compute. Everybody wants compute now." He also highlighted the appeal of long-term HPC contracts over the cyclical nature of crypto mining, pointing to the potential for stable cash flows and long-term value creation. For more interviews and market insights, visit the Proactive YouTube channel. Don't forget to like this video, subscribe to the channel and enable notifications so you never miss future content. #HIVE #HIVEDigitalTechnologies #AydinKilic #AIInfrastructure #DataCenters #GPUCloud #HPC #ArtificialIntelligence #NVIDIA #Cohere #AICompute #HighPerformanceComputing #TechStocks #NASDAQ #TSXV #DigitalInfrastructure #SwedenDataCenter #BitcoinMining #CloudComputing #ProactiveInvestors

Hive Digital Technologies' subsidiary BUZZ HPC CEO Craig Tavares joined Steve Darling from Proactive to discuss a landmark partnership with Bell Canada and Cohere that aims to establish one of Canada's most significant sovereign artificial intelligence infrastructure platforms. Tavares explained that the collaboration combines Bell AI Fabric's national connectivity and data centre network, Cohere's enterprise-grade large language models and AI software, and BUZZ HPC's NVIDIA-powered GPU cloud infrastructure into a fully integrated Canadian AI ecosystem designed for enterprise and government customers. As part of the agreement, BUZZ HPC will deploy its sovereign AI cloud and GPU cluster infrastructure at Bell's purpose-built AI facility in Merritt, British Columbia. The high-performance computing platform will provide the processing power required to support Cohere's AI models and enterprise solutions while ensuring data remains within Canadian borders. Tavares noted that the partnership directly aligns with Canada's national AI strategy, which emphasizes technology sovereignty, domestic infrastructure, and secure control of Canadian data. By combining Canadian connectivity, Canadian compute resources, and Canadian-developed AI models, the platform is designed to provide a secure, production-ready AI environment for organizations operating under Canadian regulatory standards. The infrastructure will be powered by renewable energy and built with ultra-low power usage effectiveness (PUE), supporting large-scale AI training and inference workloads while maintaining high operational efficiency. Management believes the partnership further strengthens BUZZ HPC's position as a leading sovereign AI cloud provider in Canada. Together, Bell, Cohere, and BUZZ HPC are creating a comprehensive platform that integrates connectivity, data centres, compute infrastructure, cybersecurity, and professional services into a unified national AI ecosystem. For government agencies and enterprise customers, the platform offers enhanced control over data sovereignty, AI model security, governance, and performance, while ensuring critical AI infrastructure remains entirely under Canadian jurisdiction #proactiveinvestors #hivedigitaltechnologieslet #tsxv #hive #nasdaq #hive #AIInfrastructure #buzzhpc #HighPerformanceComputing #HPC #CloudComputing #DataCenters #BellCanada #Cohere #AIInfrastructure #NVIDIA #CloudComputing #CanadianTechnology

HIVE Digital Technologies Ltd (TSX:HIVE, NASDAQ:HIVE, FRA:YO0, BVC:HIVECO) CEO Aydin Kilic joined Steve Darling from Proactive to discuss two major milestones that significantly strengthen the company's position in the rapidly growing artificial intelligence infrastructure market. The first development is HIVE's newly announced three-year GPU cloud agreement with Bell Canada and Cohere, valued at approximately $220 million in total contract value. The deployment will utilize more than 2,000 NVIDIA Grace Blackwell GPUs and represents the largest GPU cloud contract in the company's history. Kilic said the agreement is expected to generate more than $70 million in annual recurring revenue (ARR) and increases HIVE's total contracted AI-related ARR to more than $100 million, marking a significant step in the company's transformation into a leading AI infrastructure provider. “This deployment that we have with Bell in the Bell data center with Cohere is five megawatts, and that's expected to throw off over $70 million a year,” Kilic said. The interview also highlighted HIVE's recent acquisition of the land associated with its long-standing Boden, Sweden facility. The company has operated at the site since 2018 under a municipal lease and now owns the property outright, providing greater strategic flexibility for future expansion. Kilic explained that land ownership is increasingly important as HIVE evaluates opportunities to develop Tier III data center infrastructure, expand GPU cloud services, and support enterprise-scale AI and high-performance computing workloads. The Boden facility is viewed as a key strategic asset that could support substantial future growth as demand for sovereign and renewable-powered AI infrastructure continues to accelerate. HIVE is continuing to build its AI infrastructure platform across Canada, Sweden, and Paraguay, leveraging renewable energy sources and advanced computing technologies to serve enterprise, government, and AI-focused customers. Management believes the Bell-Cohere agreement and the acquisition of the Boden site position the company for significant growth in GPU cloud computing, AI infrastructure services, and next-generation data center operations over the coming years. #proactiveinvestors #hivedigitaltechnologieslet #tsxv #hive #nasdaq #hive #AIInfrastructure #HighPerformanceComputing #HPC #CloudComputing #ArtificialIntelligence #GPUCloud #NVIDIA #DataCenters #AIInfrastructure #CloudComputing #BellCanada #Cohere #HighPerformanceComputing

Days after the US government forced Anthropic to pull Mythos 5 and Fable 5 offline, Cohere Chief AI Officer Joelle Pineau joins Jason Howell to react. The former Meta FAIR leader makes the case for sovereign AI, models that enterprises run on their own terms, on-premise and under their control, and explains why the shutdown was a wake-up call for everyone depending on a single provider.Also in this conversation: why Cohere open-sourced its North Mini Code model, what stops an agent from taking an action it shouldn't, how AI is changing entry-level work, and where AI actually belongs in medicine and drug discovery.New episodes at aiinside.show. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 0:02:28 - Honorary doctorate from the University of Ottawa, uncertainty for new graduates 0:10:33 - Grads: Say Yes to the role they're not quite ready for 0:22:07 - Leaving Meta's Fundamental AI Research team 0:27:06 - North Mini Code 0:34:29 - History with AI in personalized medicine 0:43:21 - What does North do today that stops an agent from behaving badly? 0:45:51 - Cohere and sovereignty with the current dispute between Anthropic and the U.S. government 0:50:39 - Are we any closer to agents that can build connections to understand each other? Hosts: Jason Howell Guest: Joelle Pineau Download and subscribe to AI Inside in audio and video: https://aiinside.show/  Support the podcast on Patreon for special perks: https://www.patreon.com/aiinsideshow. You'll get ad-free episodes, members-only Discord, T-shirts and stickers you love, and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Learn more about your ad choices. Visit megaphone.fm/adchoices

Canada is getting its first legal prediction markets app as Wealthsimple teams up with Kalshi, blurring the line between investing and gambling. Then, Apple warns iPhones could be headed toward the $2,000 mark as AI-fueled chip costs spike. Plus, in The Big Picture: the U.S. and Iran sign a deal to end the war, Empire doubles down on discount grocers, and Cohere locks in more Canadian compute from Bell.The Peak Daily is produced in partnership with reframevid.com

The Canadian government is going all in on AI, without understanding the real effects of the technology. Hadrian Mertins-Kirkwood joins Paris Marx to discuss Mark Carney's push for large-scale investment in AI, despite being unable to describe how adoption will work, how Canadians will benefit, and what policies will be implemented to mitigate growing risks and harms. Hadrian Mertins-Kirkwood senior researcher and political economist at the Canadian Centre for Policy Alternatives.The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:Hadrian wrote about the Canadian government's new AI strategy.Paris wrote about the AI strategy and the new social media policy.The Canada Revenue Agency chatbot is expensive and giving incorrect information.The Canadian Immigration Department is using AI that hallucinates when reviewing applications.AI tools intended for Ontario doctors are providing incorrect information.Here's an overview of the federal AI strategy, “AI for All.”Support the show

"If your entire technology is coming from a single country, and that country decides that every now and again they're going to shut off access to you, that's not a foundation you can build on." The US government just ordered Anthropic to ban access to its most advanced AI models, Fable 5 and Mythos 5. Seems like now is a good time to talk about sovereign AI. Cohere co-founder Nick Frosst joins to discuss how Canada's AI champion is built different than the other frontier LLM providers, how Star Trek informs the type of AI future the company is trying to create, and why he doesn't make a point of listening to Marc Andreessen about AGI. Did the Anthropic model ban prove Cohere is right about sovereign AI? Let's dig in. -- Amid global uncertainty, the path forward is clear: Canada's moment to build is now. Presented by Uber Canada, DMZ, and National Bank of Canada, BetaKit Most Ambitious is back, telling stories of nearly 100 Canadian innovators strengthening our nation's autonomy, security, and prosperity. Read BetaKit Most Ambitious now.

Last week, Mark Carney announced his big A.I. strategy. Two billion dollars to support creating jobs, providing free A.I. literacy training, and protection against some of the potential harms and risks around A.I., especially with kids. Oh, and he wants to build a world-leading supercomputer. Canada's leading A.I. company is Cohere. Cohere isn't like OpenAI or xAI or Anthropic or any of those other well-known large language model companies. They're not public facing. They don't do image generation or music generation, or tell you what recipe you can make with the leftovers in your fridge. They develop private models for specific companies trained in part on that company's private data. RBC, Bell, Salesforce, just to name a few. Their current valuation sits at $7 billion. Cohere's co-founder is a 33 year-old indie rockstar named Nick Frosst. He joins host Stephen Marche to discuss Canada's A.I. sector, his band, Star Trek, and those students booing A.I. at convocations.Host: Stephen MarcheCredits: Tristan Capacchione (Producer), Bruce Thorson (Senior Producer), max collins (Director of Audio), Jesse Brown (Editor and Publisher)Fact checking by Julian AbrahamPhoto: Gabriel HutchinsonAdditional music by: Audio NetworkSponsors: Fizz: Visit https://fizz.ca and activate a first plan using the referral code CAN25 to get 40$ off and 10GB of free data.Douglas: Douglas is giving our listeners a FREE Sleep Bundle with each mattress purchase. Get the sheets, pillows, mattress and pillow protectors FREE with your Douglas purchase today. Visit https://douglas.ca/canadaland to claim this offer.Shopify: Sign up for your one-dollar-per-month trial today at https://shopify.caArticle: Article is offering our listeners $50 off your first purchase of $100 or more. To claim, visit https://article.com/canadaland and the discount will be automatically applied at checkout.Can't get enough Canadaland? Follow @Canadaland_Podcasts on Instagram for clips, announcements, explainers and more.If you value this podcast, support us! You'll get premium access to all our shows ad free, including early releases and bonus content. You'll also get our exclusive newsletter, discounts on merch at our store, tickets to our live and virtual events, and more than anything, you'll be a part of the solution to Canada's journalism crisis, you'll be keeping our work free and accessible to everybody. Hosted on Acast. See acast.com/privacy for more information.

Der CEO von Cohere spricht über den Wettbewerb mit Tech-Giganten, die Konzentration von Macht – und sein Praktikum, in dem die KI-Revolution begann.

Lors d'une discussion animée par Bruno Guglielminetti, Valérie Pisano (Mila) et Joëlle Pineau (Cohere) ont dressé un portrait lucide de l'écosystème canadien de l'IA. Les deux dirigeantes estiment que le Canada possède déjà les talents, la recherche et les entreprises nécessaires pour jouer un rôle mondial, mais qu'il doit maintenant accélérer la commercialisation de ses innovations. Elles ont aussi annoncé une collaboration entre Mila et Cohere afin de développer des modèles mieux adaptés à la langue, à la culture et aux réalités québécoises. L'entretien aborde également les enjeux de souveraineté numérique, de rétention des talents et de création d'alliances internationales face à la domination américaine et chinoise. Leur message est clair : le Canada ne manque plus d'expertise, il doit maintenant passer rapidement de la réflexion à l'action. Merci au Cercle canadien de Montréal pour cette collaboration.

Natürlich geht es heute um die SpaceX-S1-IPO-Filings, aber vorher sprechen wir über die Google I/O (Universal Cart, Gemini Spark, Gemini 3.5 Flash und viele mehr). Wir vergleichen Umsatz und Verlust (Gewinn) von OpenAI und Anthropic. Andrej Karpathy wechselt zu Anthropic, Cursor erreicht $3 Mrd. Annual Sales Rate. Starlink ist die SpaceXs Cashcow ($11 Mrd. Umsatz, $4,4 Mrd. Profit) und subventioniert die mit 12,5% wachsende KI-Sparte. OpenAI kündigt am Tag des S1-Filings überraschend frühen IPO an. Binance launcht SpaceX Pre-IPO Perpetuals. Bezos hat sich diese Woche auch zu Wort gemeldet. Zudem sprechen wir über Forum-AI-Studie: Falsche News-Antworten von KI, Google holt Contextual-AI-Team für $100 Mio, Airbnb erweitert auf Hotels und Mietwagen. Earnings von Nvidia und Workday. SAP, Mistral und unser Digitalminister Wildberger lässt offenbar Texte/Reden von schreiben. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:04:00) Google I/O Recap (00:25:44) OpenAI Q1 Earnings: $5,7 Mrd. (00:34:33) Anthropic Q1 & profitable im Juni (00:41:21) Karpathy zu Anthropic (00:42:40) Cursor bei $3 Mrd. Runrate (00:44:39) SpaceX S1 Filing Deep Dive (01:19:30) SpaceX kauft Cybertrucks für $140 Mio. (01:24:30) OpenAI IPO-Filing kommt früher (01:28:29) SpaceX Pre-IPO Perpetuals (01:32:37) Arbeiter stirbt in Starbase (01:33:28) Bezos: Space-Datacenter & Steuer-Debatte (01:38:34) Forum AI: GROK unzuverlässig bei News (01:41:19) Google holt Contextual-AI-Team für $100 Mio. (01:41:51) Airbnb: Hotels, Mietwagen, Everything-Travel (01:43:39) Nvidia Earnings +85% (01:46:51) Workday Earnings +14% (01:47:22) Zuckerberg-Audio: Mitarbeiter-Spionage (01:47:44) Enhanced Games (Steroid-Olympics) (01:52:21) Reuters: GROK 3 von 400 US-Behörden-Fällen (01:53:12) WaPo: DOGE-Datenzugriffe geheim (01:54:04) Trump schützt sich vor IRS (01:54:46) Cohere übernimmt Reliant AI Shownotes Google I/O 2026: Größte AI-Ankündigungen - theverge.com OpenAI behält $1 Mrd. Umsatz-Vorsprung vor Anthropic in Q1 - theinformation.com OpenAI Action-Figur-Werbung auf Instagram - instagram.com Anthropic wird erstmals profitabel - wsj.com Andrej Karpathy wechselt zu Anthropic - bloomberg.com Cursor erreicht $3 Mrd. Annual Sales Rate - bloomberg.com SpaceX-IPO: Founders Fund vor $60 Mrd. Return - theinformation.com OpenAI IPO-Filing kommt früh - wsj.com OpenAI klaut SpaceX die Show mit IPO-Ankündigung - marketwatch.com Binance launcht Pre-IPO Perpetuals für SpaceX - prnewswire.com SpaceX: Arbeiter stirbt in Starbase - futurism.com Bezos / Blue Origin: Data Center im All - cnbc.com WOLF Financial Tweet (bitte manuell prüfen) - xcancel.com Studie: ChatGPT, Claude, Gemini, Grok bei News unzuverlässig - bloomberg.com Google: $100 Mio. Acqui-License von Bezos' Contextual AI - bloomberg.com Airbnb fügt Hotels und Mietwagen hinzu - cnbc.com Nvidia-Earnings: +85% durch AI Boom - theguardian.com Workday Q1 Earnings: Aktie +14% - cnbc.com LayoffAI Tweet - xcancel.com Steroid Olympics - ft.com Christian Angermayer und die Enhanced Games - theguardian.com Grok fällt in Washington durch: Nur 3 von 400 Behörden-Fällen - reuters.com Behörden verweigern Auskunft über DOGE-Datenzugriffe - washingtonpost.com Trump schützt eigene Steuererklärungen vor IRS-Prüfung - spiegel.de Cohere übernimmt deutsches KI-Startup Reliant AI - manager-magazin.de Reliant-AI-Gründer Karl-Moritz Hermann verkündet Cohere-Deal - linkedin.com Schreibt ChatGPT die Reden des Digitalministers? - de.linkedin.com

Hoy hablamos de Cohere liberando Command A+ con licencia Apache 2.0 y empujando la IA soberana de verdad; de la task force del Pentágono para meter IA con capacidades ofensivas en NSA y Cyber Command; del plan de xAI para comprar 2.800 millones en turbinas de gas mientras acumula demandas ambientales; de Jensen Huang admitiendo que Nvidia ha cedido gran parte del mercado chino a Huawei; y de los 81.600 millones trimestrales con los que Nvidia confirma que, en la fiebre de la IA, el gran negocio sigue siendo vender palas.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord

Cohere is making a bold move into biotech with the acquisition of Montreal's Reliant AI, aiming to bring agent-powered tools to drugmakers. Plus, Canada's army is planning a major reorganization that could add new divisions, drones, and long-range firepower. In The Big Picture, we break down the latest inflation numbers, Nissan's reported plans to ship Chinese-made EVs into Canada, and Google's shift toward a chatbot-style search experience.The Peak Daily is produced in partnership with reframevid.com

Send us Fan MailMatt Fitzpatrick is the CEO of Invisible Technologies, an AI platform used to improve models for more than 80% of the world's leading AI companies, including Microsoft, AWS, and Cohere. The company has raised $100 million and scaled to $134 million in revenue, making it one of the fastest-growing AI companies globally.Before joining Invisible, Matt was the Global Head of QuantumBlack Labs at McKinsey, where he led large-scale AI and data engineering efforts and helped enterprises move from experimentation to production.In this episode, Matt draws on years spent inside enterprise AI deployments to challenge the gap between model progress and real-world adoption, and to explain why most organizations still struggle to turn AI into measurable business outcomes.In this conversation, we discuss:Why enterprise AI adoption lags far behind model performance improvements, and why most organizations still struggle to turn technical progress into real business impactThe hidden role of messy, fragmented legacy data, and why decades of accumulated systems make it nearly impossible to deploy reliable AI at scaleWhy defining “good” output in generative AI is far harder than expected, and how unclear standards stall deployment across high-stakes enterprise workflowsThe case for redesigning workflows from scratch, and why layering AI on top of existing processes fails to create meaningful efficiency gainsWhy most AI initiatives fail due to lack of business ownership, and how separating technology teams from operators prevents projects from reaching productionHow fear-driven narratives about job loss are slowing adoption, and why AI is more likely to shift work toward higher-value tasks than eliminate roles entirely Explore this conversation: 00:00 Intro and Fun Fact 03:57 Matt Fitzpatrick's Path From McKinsey to Invisible Technologies 09:56 Scaling Enterprise AI with Modular Platforms and Clean Data 12:44 The Crucial Role of Expert Human Feedback in Model Training 17:56 Why 95% of Enterprise AI Projects Never Reach Production21:38 The Missing Link: Why True AI Transformation Requires Business Ownership 26:54 Overcoming AI Fear and the Reality of Jevons Paradox 32:24 Responsible AI: Governing Outcomes Over Technology 39:05 The Future of Work: Moving From Administration to Innovation 44:12 Where to Connect with Matt Fitzpatrick and Invisible TechnologiesResources:Subscribe to the AI & The Future of Work NewsletterConnect with Matthew on LinkedInAI fun fact articleOn How Allison Baum Gates Reveals the Secrets to a Successful VC Career

Cohere übernimmt Aleph Alpha – die Schwarz-Gruppe investiert $600 Mio., Aleph Alpha bekommt 10% der neuen Firma. OpenAI und Microsoft lösen ihre exklusive Partnerschaft auf – Microsoft verliert die Exklusivität, OpenAI behält den Revenue Share. OpenAI verfehlt interne Umsatz- und Nutzerziele. Google investiert bis zu $40 Mrd. in Anthropic – die ersten $10 Mrd. auf der alten $350-Mrd.-Bewertung, obwohl Anthropic am Sekundärmarkt über $1 Billion wert ist. Google unterzeichnet einen geheimen Pentagon-KI-Deal trotz Mitarbeiterprotesten. GitHub Copilot wechselt auf nutzungsbasierte Abrechnung. Ex-DeepMind-Forscher raised $1 Mrd. Seed auf $5 Mrd. Bewertung. World ID 4.0 startet mit Zoom, Tinder und Shopify. China blockiert Metas $2-Mrd.-Manus-Übernahme. Emil Michael baut Pentagon-VC-Fonds. Musk vs. Altman geht vor Gericht – Musk pusht den New-Yorker-Artikel, NYT enthüllt SpaceX als Musks Sparkasse. Sereact raised $110 Mio. für Robotik-KI. Google Maps zeigt jetzt die Zahl gelöschter Rezensionen an. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Hörerfrage (00:07:20) Aleph Alpha/Cohere: Analyse des Deals (00:16:56) OpenAI/Microsoft lösen exklusive Partnerschaft (00:21:06) OpenAI verfehlt Umsatz- und Nutzerziele (00:28:40) Google investiert $40 Mrd. in Anthropic bei alter Bewertung (00:37:08) Google: Geheimer Pentagon-KI-Deal (00:41:15) Bubble: $5 Mrd. Seed, Cognition $25 Mrd. (00:45:51) World ID 4.0, China blockiert Meta/Manus (00:52:05) Mythos: Panik bei Firmen, Emil Michael als Pentagon-VC (00:55:55) Musk vs. Altman vor Gericht & Musk nutzte SpaceX als Sparkasse (01:02:40) Sereact $110 Mio. und Google Maps gelöschte Reviews Shownotes Cohere kauft Aleph Alpha, Schwarz investiert $600 Mio. - bloomberg.com OpenAI und Microsoft: Neue Freiheiten für beide Seiten - wsj.com OpenAI verfehlt Umsatz- und Nutzerziele vor IPO - wsj.com Google investiert bis zu $40 Mrd. in Anthropic - wsj.com Google unterzeichnet geheimen Pentagon-KI-Deal - theinformation.com GitHub Copilot wechselt auf nutzungsbasierte Abrechnung - github.blog Sequoia/Nvidia investieren $5 Mrd. in Ex-DeepMind-Startup - bloomberg.com Cognition (Devon AI) bei $25 Mrd. Bewertung - bloomberg.com World ID 4.0: Partnerschaften mit Zoom, Tinder, Shopify - xcancel.com China blockiert Metas $2 Mrd. Manus-Übernahme - theinformation.com Meta: Rechenzentren mit Solarenergie aus dem All - bloomberg.com Mythos- ft.com Emil Michael verwandelt Pentagon in VC-Firma - washingtonpost.com Musk pusht Altman-Exposé auf X vor Prozess - wired.com NYT: Musk nutzte SpaceX als Sparkasse - nytimes.com Sereact: $110 Mio. für Robotik-KI aus Stuttgart - bloomberg.com Google Maps zeigt Zahl gelöschter Rezensionen an - smartdroid.de

In this episode of Tank Talks, Matt Cohen and John Ruffolo break down one of the biggest economic policy announcements in Canada's innovation economy: Mark Carney's proposed $25 billion Canada Strong Fund, a sovereign wealth fund designed to invest in nation-building projects, strategic industries, Canadian technology companies, and long-term economic sovereignty. John, who previously argued for this type of fund in his Substack piece Canada's Missing Pot of Gold, explains why Canada's biggest structural problem is undercapitalization and why relying on foreign direct investment for critical industries creates serious sovereignty risks.Matt and John dig into the hard questions behind the fund: Where does the money come from? Can Canada borrow at low rates and invest for long-term returns? How should the fund be governed so it does not become a political slush fund? And can this vehicle finally force a more serious conversation around Canadian pension funds, domestic capital formation, and backing companies like Cohere, Kepler, and Xanadu before they are pushed toward foreign capital markets?The episode also covers Cohere's acquisition of German AI firm Aleph Alpha, the rise of sovereign AI alternatives outside the U.S. and China, Xanadu's volatile post-SPAC quantum stock run, SpaceX's reported Cursor acquisition talks, Meta's 8,000-person AI-driven workforce reduction, and Thoma Bravo's massive Medallia equity wipeout. From sovereign wealth and AI infrastructure to quantum financing and private equity pain, this episode asks the real question: can Canada build the capital systems needed to own its future?Canada Strong Fund: Carney's $25B sovereign wealth fund announcement (00:31)Matt opens the episode by laying out the breaking news: Mark Carney has launched the proposed Canada Strong Fund, a $25 billion sovereign wealth fund aimed at giving Canadians a stake in strategic national projects and critical industries.Why John Ruffolo says Canada is dangerously undercapitalized (01:22)John argues that Canada's core economic problem is not a lack of ideas, talent, or companies, but a lack of domestic capital formation. He explains why foreign-controlled capital in sovereign industries is a bad idea and why Canada needs its own funding mechanism.The biggest risk: governance or political slush fund? (03:14)John explains that the Canada Strong Fund will only work if it is independently governed, similar to CPPIB or CDPQ. Without strong governance, he warns, the fund could collapse into politically motivated pet projects.Can Canada borrow at 3.5% and earn 7% long term? (04:59)John breaks down the financial logic behind using Canada's strong credit rating to borrow at lower rates and invest through a professionally managed fund targeting long-term returns similar to major pension funds.Why the fund fails if returns do not materialize (08:15)Matt raises concerns about launching a sovereign wealth fund during a deficit environment. John says the idea only works if the fund is independently managed and capable of generating real long-term returns.No more grants: John's blunt plan for government funding (14:02)John calls for Canada to stop giving grants, especially to foreign-based companies, and instead convert government support into equity investments that create long-term ownership and capital recycling for the country.Cohere acquires Aleph Alpha and makes a sovereign AI play (16:12)Matt breaks down Cohere's acquisition of German AI firm Aleph Alpha, the new Berlin European headquarters, and the reported $600 million financing commitment from Schwarz Group as part of a broader sovereign AI strategy.Xanadu's quantum stock surge and post-SPAC volatility (19:59)Matt explains Xanadu's post-SPAC trading action, including its sharp rise, options activity, and SEC filing registering nearly 300 million Class B shares for sale after the lockup period expires.SpaceX, Cursor, and peak AI paper-deal froth (24:25)Matt and John react to reports that SpaceX could acquire AI coding startup Cursor for $60 billion, with John arguing that SpaceX shareholders should be furious about the growing complexity and governance concerns.Meta layoffs and the real cost of AI capital spending (27:56)Matt highlights Meta's reported 10% workforce reduction tied to massive AI capital spending. John argues the “AI efficiency” explanation often masks bad capital allocation and failed strategic bets.Thoma Bravo's $5.1B Medallia equity wipeout (29:55)The episode closes with Thoma Bravo handing Medallia back to creditors after a major private equity software deal collapses, raising questions about SaaS valuations, debt structures, and exit assumptions in the AI era.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Diese Woche wird improvisiert – und zwar hochkarätig: Während Dietmar Deffner entspannt durch Venedig gondelt, übernimmt Pip Klöckner das Mikro. Gemeinsam mit Holger Zschäpitz analysiert er den KI-Hype, den Machtkampf zwischen OpenAI, Microsoft und Anthropic – und erklärt, warum die nächsten Börsengänge alles verändern könnten und wieso schon zwei Stunden ChatGPT messbar Hirnareale schrumpfen lassen. Außerdem verrät Pip, welche KI-Modelle er privat abonniert hat, warum Jobs doch nicht so schnell verschwinden wie gedacht – und was hinter dem Milliarden-Spiel von SpaceX steckt. Dazu: Ein Vorgeschmack auf Pips mit Spannung erwartete OMR-Präsentation von der HBO-Bühne mit 120 Slides in 50 Minuten und das stille Begräbnis von Aleph Alpha bei Cohere. Plus: Holgers Lebensphilosophie zwischen DDR-Improvisation und der entscheidenden Frage seiner Bonner Tante – und Bulle/Bär zwischen Anthropic-Boom und Chinas Demografie-Schock. DEFFNER & ZSCHÄPITZ sind wie das wahre Leben. Wie Optimist und Pessimist. Im wöchentlichen WELT-Podcast diskutieren und streiten die Journalisten Dietmar Deffner und Holger Zschäpitz über die wichtigen Wirtschaftsthemen des Alltags. Schreiben Sie uns an: wirtschaftspodcast@welt.de Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutzerklärung: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Jaeden sits down with Nick Frosst, co-founder of Cohere, to discuss the company's focus on enterprise AI, foundational models, and AI sovereignty. Nick shares why Cohere prioritizes practical and secure solutions over chasing AGI, and how businesses can avoid common mistakes when adopting AI technology.Watch on YouTube: https://youtu.be/Qk9kXX0erTAConor's AI Course: https://www.ai-mindset.ai/coursesGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiCheck out Cohere: https://cohere.com/Chapters00:00 Introduction to Cohere and AI Background03:31 Cohere's Unique Approach to AI for Enterprises06:20 Real-World Applications of Cohere's Technology09:12 The Evolution of AI Models and Their Utility12:30 ROI vs AGI: A Pragmatic Approach to AI16:14 Concerns in the AI Industry and Sovereignty22:26 Capital Efficiency in AI Development27:57 Common Mistakes in AI Adoption by Enterprises30:28 The Future of Enterprise AI See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jaeden sits down with Nick Frosst, co-founder of Cohere, to discuss the company's focus on enterprise AI, foundational models, and AI sovereignty. Nick shares why Cohere prioritizes practical and secure solutions over chasing AGI, and how businesses can avoid common mistakes when adopting AI technology.Watch on YouTube: https://youtu.be/Qk9kXX0erTAConor's AI Course: https://www.ai-mindset.ai/coursesGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiCheck out Cohere: https://cohere.com/Chapters00:00 Introduction to Cohere and AI Background03:31 Cohere's Unique Approach to AI for Enterprises06:20 Real-World Applications of Cohere's Technology09:12 The Evolution of AI Models and Their Utility12:30 ROI vs AGI: A Pragmatic Approach to AI16:14 Concerns in the AI Industry and Sovereignty22:26 Capital Efficiency in AI Development27:57 Common Mistakes in AI Adoption by Enterprises30:28 The Future of Enterprise AI

Aktien hören ist gut. Aktien kaufen ist noch besser. Unser Partner Scalable Capital ist jetzt Bank und bietet euch dadurch jetzt noch bessere Konditionen. Mehr Infos findet ihr unter: scalable.capital/oaws. Iran-Verhandlungen gecancelt. Rüstungsaktien fallen neun Tage. Novo schlägt Lilly. X-Energy startet mit 10 Milliarden Börsenwert. Alphabet investiert in Anthropic. Aleph Alpha x Cohere. Canon & Jungheinrich leiden. SpaceX will KI. Procter & Gamble wird Influencer. Intel (WKN: 855681) legt 24% zu, stärkster Kursanstieg seit 1987. Die CPU-Nachfrage explodiert, Yields verbessern sich schneller als geplant. Trumps 9 Mrd. $ Investition ist jetzt 36 Mrd. $ wert. Brasilien boomt. Der MSCI Latinamerika liegt 20% im Plus. Petrobras (WKN: 541501) profitiert vom Ölpreis, friert aber Inlandspreise ein. Itaú Unibanco (WKN: A0RGKJ) lockt mit KGV 10 und 7% Dividende. Diesen Podcast vom 27.04.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices

Rajiv sits down with Neil Sheperd (formerly Cohere, Scale AI, BCG, McKinsey) and Amit Malhotra (formerly buybuy Baby, 1-800-Contacts) to get brutally specific about how humans and Agentic AI will coexist in the future workplace.  They discuss how AI changes tasks first and why the shock may hit high-skill jobs sooner than most people expect. We debate agent guardrails, attention economics in B2B marketing, and the leadership skills that still matter when execution gets automated.• AI replacing tasks before whole jobs• Why high-paid cognitive work can be disrupted fast• What makes agentic AI different from expert systems• Enterprise mistakes like boxing work into factory tasks• B2B marketing when content gets commoditized• Brand trust as a shortcut for scarce attention• Guardrails to prevent KPI chasing and hidden technical debt• Using tight use cases and human-in-the-loop verification• American Dream Index and AI as an inequality accelerant• Lessons from imperial governance for decentralized autonomy• How org charts tighten while individuals become “IC++” with agents• Clear intent-driven orders as the new management skillAI isn't waiting politely at the edges of the org chart. It's already taking tasks, and the uncomfortable twist is that high-skill, high-wage work may feel the impact sooner because the cost arbitrage is impossible to ignore. From Park City during our Growth Marketing Summit, we gather for a roundtable on the future of human work, enterprise adoption of AI, and what this acceleration means for leaders trying to stay useful and humane at the same time.We talk agentic AI beyond the demo: where it actually lands in real companies, why “optimize the KPI” can become a Trojan horse that piles up technical debt, and how to design guardrails when agents move faster than any human can audit. We also dig into B2B marketing strategy as the cost of content trends toward zero, making attention, trust, and brand credibility the real battleground for growth.Neil shares what he's building with the American Dream Index and why affordability data matters when AI can widen inequality. Amit brings lessons from past tech cycles plus a surprising angle from imperial history on decentralized governance, autonomy, and scope creep. We end with what leadership looks like in 2026: clear intent, better judgment, and teams that include both people and AI agents.Neil Shepherd: https://www.linkedin.com/in/neilshep/Neil Shepherd, Neil is the Founder of the American Dream Index.  A seasoned growth executive with 25 years of experience in Silicon Valley, he most recently served as the VP of Growth at Cohere, and has led marketing and digital strategy at organizations like BCG, ScaleAI, PayPal, and McKinsey. Neil is an expert in product-led growth, data science, and leveraging generative AI, where he helps companies scale their revenue and user acquisition.Amit Malhotra: https://www.linkedin.com/in/amitx/Amit Malhotra is a Private Equity Operating Advisor and technology builder. With over two decades of experience at the intersection of AI, digital transformation, and business growth, he has led massive turnarounds and rebuilt technology stacks from scratch for major brands like buybuyBABY and 1-800 Contacts.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

OpenAI liefert eine Rekordwoche: ChatGPT Images 2 kombiniert Reasoning mit Bildgenerierung – Infografiken, Speisekarten und Comicstrips entstehen per Prompt. GPT 5.5 überholt Claude Opus 4.7 in vielen Benchmarks. SpaceX will Cursor für $60 Mrd. übernehmen, inklusive $10 Mrd. Breakup-Fee – vermutlich um KI-Revenue fürs IPO aufzupolieren. Der SpaceX-IPO-Prospekt taxiert den eigenen Markt auf $28,5 Billion, davon $26,5 Billion für KI. Amazon kauft den Telko-Anbieter Globalstar, Project Houdini beschleunigt modularen Data-Center-Bau. DeepSeek V4 erscheint als stärkstes chinesisches Open-Source-Modell. Anthropic kooperiert mit Freshfields für Legal AI. OpenAI holt Ex-Airbnb-Manager für EMEA. USVC will VC-Investments ab $500 für Kleinanleger öffnen. Polymarket führt Perpetuals ein. Meta, Microsoft und Snap entlassen Tausende. Tesla liefert solide Earnings, aber FSD funktioniert nicht auf Hardware 3 – eine Lüge an Käufer. Meta will Mausbewegungen und Tastaturanschläge der Mitarbeiter für KI-Training erfassen. Samsung-Mitarbeiter streiken. Talon One wird für €750 Mio. an Adyen verkauft. Aleph Alpha wird von Cohere übernommen.  Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) ChatGPT Images 2 (00:07:19) GPT 5.5 und Cursor-Übernahme durch SpaceX (00:18:35) SpaceX-IPO-Prospekt: $28,5 Billion TAM (00:24:36) GPT 5.5 überholt Claude Opus 4.7 (00:26:37) OpenAI EMEA-Chef von Airbnb (00:29:09) DeepSeek V4 und China-Industriespionage (00:34:28) Google TPU 8: Training und Inferenz getrennt (00:38:47) Anthropic + Freshfields: Legal AI (00:43:05) OpenAI Super-App, USVC ab $500 (00:51:00) Layoffs: Meta, Microsoft, Snap (00:58:37) Tesla Earnings und FSD-Hardware-Lüge (01:12:34) Earnings: ServiceNow, SAP, Intel, Samsung-Streik (01:19:00) Polymarket: Heizlüfter-Betrug (01:31:18) Talon One: €750 Mio. Exit an Adyen (01:38:50) Aleph Alpha wird von Cohere übernommen Shownotes SpaceX sichert sich Kaufrecht für Cursor - ft.com XAI prüfte Kooperation mit Mistral und Cursor - businessinsider.com SpaceX-IPO: KI als größte Chance im Prospekt - reuters.com SpaceX: KI-Datenzentren im All nicht rentabel - reuters.com OpenAI GPT 5.5 und ChatGPT als Super-App - techcrunch.com OpenAI holt Airbnb-Manager als EMEA-Chef - bloomberg.com Tencent und Alibaba verhandeln DeepSeek-Investment - theinformation.com Weißes Haus wirft China industriellen KI-Diebstahl vor - ft.com Google TPU 8: Eigener Inferenz-Chip - wsj.com Google Cloud: Neue TPU-Chipreihe vorgestellt - bloomberg.com Anthropic und Freshfields: Legal-AI-Deal - ft.com USVC- xcancel.com Meta entlässt 10% für KI-Fokus - cnbc.com Microsoft: Abfindungen für 7% der Belegschaft - wsj.com Microsoft: Abfindungen für 7% der US-Belegschaft - ft.com Tesla Q1 2026 Earnings - wsj.com Tesla: Ärger mit frühen Kunden wegen FSD - marketwatch.com Musk kauft eigene Cybertrucks über Firmen - teslarati.com Air Force kauft Cybertrucks als Schießziele - fortune.com ServiceNow -14%: Iran-Krieg trifft Subscriptions - cnbc.com SAP Q1: Cloud-Revenue +27% - seekingalpha.com Intel-Aktie steigt durch KI-Boom über Dotcom-Niveau - ft.com Samsung: 30.000 streiken für KI-Gewinne - bloomberg.com Polymarket: Heizlüfter manipuliert Wetter-Wette - xcancel.com Polymarket startet gehebelte Perpetuals - cnbc.com Meta trackt Mausbewegungen für KI-Training - reuters.com Meta-Mitarbeiter empört über Überwachung - xcancel.com Angermayer: Enhanced Games als SPAC - xcancel.com FBI ermittelt gegen NYT-Reporterin - nytimes.com Talon One: €750 Mio. Exit an Adyen - manager-magazin.de Personio erstmals profitabel - handelsblatt.com Telekom erwägt volle T-Mobile-Übernahme - bloomberg.com Glöckler und das OMR-Poster - linkedin.com Google investiert bis zu $40 Mrd. in Anthropic - wsj.com Cohere übernimmt Aleph Alpha, Schwarz investiert $600 Mio. - bloomberg.com

Our 241st episode with a summary and discussion of last week's big AI news!Recorded on 04/18/2026 Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Anthropic released Claude Opus 4.7 with improved benchmark performance, new reasoning controls, better vision and memory, and a detailed system card discussing deception risk, evaluation-awareness steering, and a training bug that accidentally supervised chain-of-thought in 7–8% of episodes.Meta unveiled its closed Muse Spark model and “contemplating mode,” highlighting test-time scaling, thought compression, large infrastructure plans like the Hyperion data center, and findings that it shows unusually high evaluation awareness.OpenAI introduced limited-access GPT 5.4 Cyber for defensive security teams and rolled major Codex updates including computer use, browser and plugins, image generation, and long-horizon task scheduling; competing agent products also launched from Anthropic, Canva, and Adobe.Business, policy, and safety news included continued government blacklisting litigation affecting Anthropic, CoreWeave compute deals, Perplexity revenue growth tied to agents, a potential Cohere–Aleph Alpha merger, attacks targeting Sam Altman and OpenAI, AI propaganda trends, and new alignment research on automated weak-to-strong supervision and steering evaluation awareness.Timestamps:(00:00:10) Intro / Banter(00:03:43) News Preview(00:04:14) Response to listener commentsTools & Apps(00:05:30) Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM | VentureBeat(00:24:15) Meta debuts the Muse Spark model in a 'ground-up overhaul' of its AI | TechCrunch(00:34:23) OpenAI Launches GPT-5.4-Cyber with Expanded Access for Security Teams(00:39:44) OpenAI's big Codex update is a direct shot at Claude Code | The Verge(00:42:10) Anthropic launches Claude Design, a new product for creating quick visuals(00:42:30) Anthropic's New Product Aims to Handle the Hard Part of Building AI Agents | WIRED(00:42:54) Canva's AI 2.0 update goes all in on prompt-powered design tools | The Verge(00:43:06) Adobe's new AI Assistant marks a ‘fundamental shift' in creative work | The Verge(00:43:38) Gemini can now pull from Google Photos to generate personalized images | The Verge(00:43:52) Google rolls out a native Gemini app for Mac | TechCrunch(00:44:04) Chrome now lets you turn AI prompts into repeatable ‘Skills' | The VergeApplications & Business(00:44:22) Anthropic loses appeals court bid to temporarily block Pentagon blacklisting(00:49:07) Jeff Bezos' AI lab poaches xAI cofounder Kyle Kozic from OpenAI. | The Verge(00:51:39) Perplexity's Shift to AI Agents Boosts Revenue 50%(00:53:53) Anthropic Agrees to Rent CoreWeave AI Capacity to Power Claude(00:57:32) Canada's Cohere, Germany's Aleph Alpha reportedly in merger talks(01:04:23) ChatGPT has a new $100 per month Pro subscription | The Verge(01:05:10) OpenAI has bought AI personal finance startup Hiro | TechCrunch(01:07:03) Allbirds announced a switch from shoes to AI and its stock jumped 600 percent | The VergeProjects & Open Source(01:07:26) HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds + Lyra 2.0: Explorable Generative 3D WorldsPolicy & Safety(01:19:12) Daniel Moreno-Gama is facing federal charges for attacking Sam Altman's home and OpenAI's HQ | The Verge(01:20:15) Duo accused of shooting at Sam Altman's house are freed; no charges filed (01:24:50) The Iranian Lego AI video creators credit their virality to ‘heart' | The Verge(01:27:19) Hundreds of Fake Pro-Trump Avatars Emerge on Social Media - The New York Times(01:27:31) The AI images Trump can't get enough of | Donald Trump | The Guardian(01:29:25) Automated Weak-to-Strong Researcher(01:43:51) Reproducing steering against evaluation awareness in a large open-weight model(01:49:53) Iran threatens ‘complete and utter annihilation' of OpenAI's $30B Stargate AI data center in Abu Dhabi — regime posts video with satellite imagery of ChatGPT-maker's premier 1GW data center(01:53:57) Wall Street Banks Try Out Anthropic's Mythos as US UrgesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mauro Schilman, CTO and Co-founder of Tuki, the distribution standard for the AI agent era in travel, for a wide-ranging conversation that moves from the joys of international travel and the beauty of mathematics to the fast-evolving world of AI and large language models. Mauro shares his background as a math Olympiad competitor and later a coach, his time training coding models at the AI company Cohere, and his thoughts on how frontier models are progressing — or plateauing — at the foundational level while innovation accelerates at the application layer. The two also get into the mechanics of agentic AI, MCP and agent-to-agent protocols, hierarchical memory systems, red-green test-driven development as a powerful coding workflow, and the philosophical murkiness of open-source AI. They wrap up discussing Tuki Travel's mission to build AI-ready infrastructure for the travel industry, connecting hotels, suppliers, and online travel agencies to prepare for the coming wave of agentic commerce. You can learn more about Tuki Travel and reach out to the team at tukiclub.com.Timestamps00:00 - Stewart welcomes Mauro Schilman, CTO and Co-founder of Tuki Travel, who shares how traveling since age 15 through high school exchanges opened his mind to cultural similarities and differences.05:00 - Mauro explains Math Olympiad coaching culture and mentorship, noting LLMs now solve competition-level problems while Terence Tao explores AI assisting frontier unsolved mathematics.10:00 - Discussion turns to ChatGPT revealing Mauro's birthdate unprompted, exposing opaque application layers, preference tuning, and system prompts hidden within closed models.15:00 - Mauro argues true open source AI requires full training data, annotation protocols, and alignment processes, not just model weights, while scaling laws appear to be slowing.20:00 - Hierarchical memory models replace flat vector databases, using three-level retrieval systems improving context accuracy as knowledge management becomes AI's core challenge.25:00 - Mauro describes travel's fragmented infrastructure of aggregators, bed banks, and intermediaries, explaining Tuki builds agent-ready unification protocols for AI commerce.30:00 - MCP versus API debate clarifies natural language capability descriptions help agents consume services, while agent-to-agent communication embeds negotiating agents inside supplier systems.35:00 - Hallucinations and consumer trust block agentic payments, industries must build mistake-resilience into bookings before autonomous agent transactions become viable.40:00 - Mauro reveals red-green test-driven development methodology where agents write failing tests first then implementations, creating Oracle verification loops dramatically improving code quality.45:00 - Blockchain's potential for transparent distributed AI training discussed, distinguishing democratization from decentralization while stable coins and regulatory momentum build toward agentic commerce infrastructure.Key Insights1. Travel broadens perspective by revealing both universal human similarities and deep cultural differences. Mauro Schilman began traveling at fifteen through math olympiad competitions and found that people across the world share fundamental traits while also being shaped in profoundly different ways by their cultures. This tension between sameness and difference is what makes travel meaningful.2. Mathematics transitions from structured problem-solving in olympiads to genuine uncertainty in graduate school and research. Olympiad problems are carefully designed with elegant solutions meant to encourage creative thinking, but once a mathematician enters academia, the answers are unknown and the work becomes navigating that uncertainty.3. AI is now assisting mathematicians at the frontier, not just solving olympiad-level problems. Terence Tao, one of the greatest living mathematicians, has written publicly about how AI tools can help tackle unsolved problems, though the role of AI remains assistive rather than independent at the research level.4. Large language models are not truly transparent even when described as open source. Releasing model weights alone does not reveal the training data, annotation protocols, alignment tuning, or system prompts that shape model behavior. Real openness would require access to the entire pipeline.5. Memory and retrieval remain core unsolved challenges in AI systems. Researchers are moving from flat vector database approaches toward hierarchical memory structures with roughly three layers, which improves retrieval accuracy and reduces how much context gets consumed with each search.6. The travel industry is structurally unprepared for AI agents. A hidden web of bed banks, aggregators, and aggregators of aggregators sits between hotels and consumers, each taking a fee. Tuki Travel is building infrastructure to unify this distribution layer and make it consumable by AI agents through protocols like MCP and emerging agent-to-agent communication standards.7. Test-driven development using a red-green approach significantly improves AI-generated code quality. By asking the model to write failing tests before writing any implementation, developers create a verification oracle that guides the model toward correct solutions and avoids the bias of writing tests that simply confirm existing flawed code.

Florian and Esther discuss the language industry news of the past few weeks and Slator's newly launched website, which reflects a clearer positioning around research, advisory, consulting, events, and market intelligence.The duo breaks down the 2026 Slator Index, highlighting that while revenues appear to have grown, this does not signal real market expansion. Instead, growth is concentrated among a few large players, often driven by acquisitions, while many companies report declining revenues.Florian touches on the RWS–Cohere strategic partnership, with RWS strengthening its technology stack by integrating advanced AI translation, while Cohere gains enterprise distribution. The move reflects a broader trend of companies recognizing they cannot build everything in-house.Off the back of Slator's Data-for-AI Market Report, Florian sees AI data services as a major growth opportunity. He explains that the industry's bottleneck has shifted from building models to making them usable in real-world settings. Esther notes growing interest from companies exploring acquisitions and investments in this space.Esther wraps things up by talking through recent M&A and funding deals, including Star7's private equity buyout, GlobalComix's expansion into manga localization with the acquisition of INKR, and VoiceLine's EUR 10m funding round in voice AI.

In this episode of Tank Talks, Matt Cohen and John Ruffolo break down the latest developments shaping Canada's tech landscape, from AI policy and government regulation to talent flight and emerging cybersecurity risks. They discuss proposals to restrict AI chatbot access for minors, the broader implications of tech regulation in a fast-moving market, and the controversial idea of imposing an exit tax on Canadians who leave for the U.S. for work.The conversation then turns to the next wave of AI competition and enterprise transformation. Matt and John unpack Cohere's reported talks to merge with a German AI company as part of a broader push around sovereign AI, data infrastructure, and enterprise model deployment in Europe. They also debate Anthropic's Claude Mythos preview and whether its reported ability to uncover zero-day vulnerabilities represents a real cybersecurity breakthrough or clever marketing. From there, they explore the rise of agentic AI inside large enterprises, where token allocation, workflow automation, and AI agents are becoming real boardroom priorities. The episode closes with Hootsuite founder Ryan Holmes returning as interim CEO, prompting a broader discussion about founder-led turnarounds, SaaS disruption, and how AI is reshaping leadership across the tech sector.Tune in for a sharp breakdown of the policy decisions, market shifts, and AI developments that could have a lasting impact on Canada's innovation economy.The Blanket AI Ban Proposal for Youth in Canada (00:57)John and Matt debate the implications of a blanket ban on AI chatbots for individuals under 16 in Canada, exploring how this could hinder youth innovation and global competitiveness, especially when countries like China are advancing rapidly in AI development.Balancing AI Privacy Concerns with Innovation (01:39)John shares his thoughts on the growing debate around AI privacy laws and whether Canada should follow the EU's model of regulation or take a more pragmatic approach. The conversation touches on the risks of banning AI technologies without considering the broader impacts on tech development.Patrick Bette's Proposal for Exit Tax on Canadians Moving to the U.S. (04:56)Matt and John discuss the controversial proposal from Patrick Bette to charge an exit tax on Canadians who leave for the U.S. to work, aiming to recover the public investment in their education. They debate whether this idea is practical and whether it reflects a misunderstanding of the challenges facing Canada's youth.Cohere's Strategic Merger with German AI Player (11:12)Matt and John talk about Cohere's potential merger with a German AI company and its implications for Canada's AI sovereignty. John examines the strategic motivations behind this move and whether this type of cross-border alliance could position Canada as a leader in AI innovation.AI's Role in the Corporate World: From Job Replacements to New Capabilities (19:00)A major topic in the episode is how AI is shifting from being seen as a tool for job replacement to one that unlocks new capabilities in various industries, including healthcare, banking, and retail. John and Matt delve into the emerging concept of internal AI agents and the complexities of managing compute resources in organizations.Hootsuite's CEO Shake-Up: Ryan Holmes Returns (21:56)The episode wraps up with a discussion on Hootsuite's recent leadership change, where founder Ryan Holmes returns to the helm as interim CEO. Matt and John explore the implications of this shift, especially in the context of the current AI-driven market disruptions.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Die Debatte um Anthropics Mythos-Modell geht weiter: Goldman Sachs testet es, das britische Cybersecurity-Institut bestätigt neue Fähigkeiten, Kritiker sprechen von Fear-Mongering. OpenAIs Chief Revenue Officer wendet sich in einem internen Memo an die Belegschaft und erklärt, warum Anthropic angeblich schwächer sei – aufgeblähte Umsätze, zu wenig Compute, zu enger Fokus. Am Secondary Market verliert OpenAI an Nachfrage, Anthropic steigt auf Platz 1. Zwei Anschläge auf Sam Altmans Haus in San Francisco – Altman nutzt seinen Blogpost auch für PR gegen den New-Yorker-Artikel. OpenAI lobbyiert für Haftungsfreiheit bei KI-Schäden und stärkt die Amazon-Allianz gegen Microsoft. SpaceX-Segmentzahlen enthüllt: $19 Mrd. Umsatz, Starlink macht $7,2 Mrd. Profit, xAI verbrennt $14 Mrd. Cash. CoreWeave schließt Deals mit Meta und Anthropic. Aleph Alpha verhandelt Fusion mit Cohere. Iran fordert Krypto-Maut am Hormuz. Axel Springer streicht "Vereinigtes Europa" und "sozial" aus seinen Grundsätzen. Orbán verliert in Ungarn. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Mythos-Debatte (00:09:29) IPO-Rennen & OpenAI-CRO-Memo (00:25:08) Anschlag auf Sam Altmans Haus (00:40:00) SpaceX-Segmentzahlen: $19 Mrd. Umsatz (00:51:43) Hörerfrage: KI-IPOs im MSCI World (00:57:49) Aleph Alpha und Cohere (00:59:17) Zuckerberg baut AI-Avatar von sich selbst (01:06:40) Iran: Krypto-Maut an der Straße von Hormuz (01:10:45) Jude Law wirbt für Legora, Springer kippt Grundsätze (01:21:30) Orbán verliert in Ungarn Shownotes Podcast Empfehlung: Albrecht von Sonntag Radikaler Optimismus gegen Big Tech - youtu.be AISI: Bewertung von Mythos Cyber-Fähigkeiten - aisi.gov.uk Goldman nutzt Mythos für Cyberrisiken - bloomberg.com Anthropic Revenue korrigiert: $30 Mrd. um $8 Mrd. erhöht - xcancel.com Angriff auf Altmans Haus: Mordversuch angeklagt - edition.cnn.com Altmans Haus erneut angegriffen - sfstandard.com Sam Altman Post 1 - xcancel.com Sam Altman Post 2 - xcancel.com OpenAI will nicht für KI-Schäden haften - t3n.de OpenAI lobt Amazon-Allianz, kritisiert Microsoft - cnbc.com xAI-Ausgaben treiben SpaceX auf $5 Mrd. Verlust - theinformation.com SpaceX-Zahlen zeigen Starlink-Abhängigkeit - theinformation.com CoreWeave schließt Mehrjahresvertrag mit Anthropic - theinformation.com Aleph Alpha und Cohere verhandeln Fusion - handelsblatt.com Meta AI Zuckerberg - ft.com Chamath: Betrifft gesamte Tech-Branche - xcancel.com Iran fordert Krypto-Maut in der Straße von Hormuz - fortune.com Trump-Kryptoprojekt World Liberty: Investorenaufstand - bloomberg.com Sebastian Kurz: Vom Kanzler zum KI-Gründer - businessinsider.de Jura wird wieder attraktiv - linkedin.com Wie Axel Springer die USA umarmt - theguardian.com Springer streicht Pro-Europa aus Statuten - linkedin.com Vance hilft Orbán, wird verspottet - spiegel.de

Prognosemärkte sorgen wegen einiger verdächtiger Aktivitäten rund um den Iran-Krieg für Diskussionen. Und: Deutschland und Kanada wollen die Entwicklung einer souveränen KI gemeinsam vorantreiben.

Ben Faes, CEO of RWS, joins SlatorPod to talk about the markets' perceptions of LSIs, the company's AI strategy, and how RWS is repositioning itself for long-term growth.Ben positions RWS as a technology-led partner helping enterprises operate globally, from enabling multilingual communication to protecting intellectual property and improving market understanding.The CEO highlights the rapid acceleration of innovation and the democratization of AI, where individuals and companies can now build and deploy solutions at unprecedented speed. He argues that the real opportunity lies in using these capabilities more effectively, rather than applying them to low-value tasks.He describes the partnership with Cohere as a fundamental shift, with RWS integrating Cohere's models into its Language Weaver Pro platform, moving beyond traditional, segment-based translation toward context-aware, LLM-driven solutions.Beyond translation, Ben sees strong growth in AI data services, especially in areas like cultural intelligence and multimodal training, where human expertise remains critical. Internally, RWS has reorganized into three divisions — Generate, Transform, and Protect — to better align with customer needs, buyer personas, and evolving use cases.Despite short-term uncertainty, Ben remains optimistic, noting that new AI-driven services and products account for a growing share of revenue and signal how quickly the market is evolving.

В этом выпуске мы вместе с Даулетом Жангузиным - инженером из Кремниевой долины с 15-летним опытом (NVIDIA, Groq, Cohere, Lyft, Google, Microsoft) - говорим о карьере в BigTech и о том, что происходит под капотом современного AI. Обсуждаем практичную сторону работы с большими моделями: как выжимать максимум из Nvidia GPU, чем полезен Claude в реальных задачах, и какие курсы/ресурсы действительно помогают расти инженеру, как пишут код в 2026 лучшие программисты Кремниевой Долине. Эпизод будет интересен тем, кто строит карьеру в разработке/ML, хочет понять трек BigTech (Microsoft → Google → Lyft), интересуется LLM-инфраструктурой и оптимизацией вычислений, а также ищет советы по обучению и прохождению технических собеседований в ведущие tech-компании.  Арман Сулейменов: https://www.instagram.com/armansu/ Даулет Жангузин: https://www.instagram.com/daulet/ Продюсер и режиссёр: Данияр Ахметжанов: https://www.instagram.com/good.years/ Наш Instagram: https://www.instagram.com/nfactorialpodcast/ Получите одну из самых востребованных профессий в мире - ИИ-разработчик - вместе с nFactorial School - https://www.nfactorial.school/courses_new/llm-engineer

The guys wasted no time in bringing you their special podcast recorded from the show floor in Barcelona. Overwhelming demand means they're delighted welcome no less than four guests, but are slightly more organised about it than last year. First they're joined by Ray Dolan from Cohere and Mike Dano from Ookla. Both are familiar faces but there was still plenty to catch up on, including talk of satellites and network sensing. Eventually they give way to Queen of Props, Totogi's Danielle Rios, and industry expert Dan Warren. Among the topics the four then discuss are network software and, of course, AI.

Ed Elson speaks with Nick Frosst, a co-founder of Cohere. They discuss why the company chose an enterprise-only strategy, how he sees the future of AI unfolding, and whether an IPO is on the horizon. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send a textInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:02 - AG Dillon Funds closing on Mar 31, 202600:51 - OpenAI Financials $280B revenue target meets $665B cost wall03:58 - OpenAI “buys” OpenClaw, Steinberger joins OpenAI04:42 - OpenAI Series C aims to shatter records at $850B post money05:41 - OpenAI and Tata bet on India with a 100 MW to 1 GW buildout path06:29 - Grafana's $9B round talks ride a $400M ARR wave07:23 - World Labs lands Autodesk and targets a rumored $5B valuation08:18 - Temporal wants to be the load bearing layer for agent execution09:31 - Mesh Optical's $50M Series A targets the chokepoint inside AI data centers10:43 - Render's $1.5B valuation is a bet that AI apps need a new runtime11:40 - Stash acquired by Grab for $425M13:06 - Physical Superintelligence pitches a physics breakthrough factory with a 20 person team14:07 - Figma plugs Claude Code into design and risks losing the workflow15:00 - Anthropic ships Sonnet 4.6 just 12 days after Opus 4.615:26 - Stripe's Bridge wins OCC trust charter signal as stablecoin scrutiny rises16:37 - Cohere puts 70 plus languages on device with a 3.35B parameter model17:53 - ElevenLabs turns agent risk into an insurable product at $12.2B secondary19:05 - Mistral buys Koyeb and adds 16 engineers to harden its compute stack

This episode is sponsored by tastytrade.  Trade stocks, options, futures, and crypto in one platform with low commissions and zero commission on stocks and crypto. Built for traders who think in probabilities, tastytrade offers advanced analytics, risk tools, and an AI-powered Search feature.   Learn more at https://tastytrade.com/ In this episode of Eye on AI, Nick Frosst, Co-Founder of Cohere and former Google Brain researcher, explains why Cohere is betting on enterprise AI instead of chasing AGI.   While much of the AI industry is focused on artificial general intelligence, Cohere is building practical, capital-efficient large language models designed for real-world enterprise deployment. Nick breaks down why scaling transformers does not equal AGI, why inference cost and ROI matter, and how enterprise AI differs from consumer AI hype.   We discuss enterprise LLM deployment, private data, regulated industries like banking and healthcare, agentic systems, evaluation benchmarks, and why AI will likely become embedded infrastructure rather than a headline breakthrough.   If you care about enterprise AI, AGI debates, large language models, and the future of AI in business, this conversation delivers a grounded perspective from inside one of the leading AI companies.   Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI   (00:00) From Google Brain to Cohere (03:54) Discovering Transformers (06:39) The Transformer Dominance (09:44) What AGI Actually Means (12:26) Planes vs Birds: The AI Analogy (14:08) Why Cohere Isn't Chasing AGI (18:38) Distillation & Model Efficiency (21:42) What Enterprise AI Really Does (25:20) Private Data & Secure Deployment (26:59) Enterprise Use Cases (RBC Example) (32:22) Why AI Benchmarks Mislead (34:55) Why Most AI Stays in Demo (38:23) What "Agents" Actually Are (43:32) The Problem With AGI Fear (49:15) Scaling Enterprise AI (53:24) Why AI Will Get "Boring"  

Anthropic raises the second largest financing round of all time. Other AI players are beginning to show hockey stick revenue growth. Meta wants to add facial recognition to its glasses. Ring pulls back from some recognition partnerships for its camera. And, of course, your Weekend Longreads Suggestions. Anthropic closes $30 billion funding round as cash keeps flowing into top AI startups (CNBC) Enterprise AI startup Cohere tops revenue target as momentum builds to IPO: Investor memo (CNBC) Meta Plans to Add Facial Recognition Technology to Its Smart Glasses (NYTimes) Ring cancels its partnership with Flock Safety after surveillance backlash (The Verge) Weekend Longreads Suggestions: The AI Gold Rush Is Breaking a Silicon Valley Taboo: Cashing Out Before the IPO (WSJ) The New Fabio Is Claude (NYTimes) Learn more about your ad choices. Visit megaphone.fm/adchoices

Do startup valuations today make sense?Umesh Padval, an early investor in Cohere, now valued at about $7 billion shares why Cohere stood out at the time of his investment. He shares what he saw early that made him believe this was not just another AI model company.Umesh is the Founding Managing Partner, Seligman Ventures and previously at Thomvest and Bessemer Venture Partners. He brings experience from investing across multiple tech cycles, from chips to cloud to AI. Umesh talks about how deals are really done in venture capital and what he looks for when everything feels noisy and crowded in AI.He also shares why many strong companies are choosing to stay private and what has changed in the IPO market. Public markets now demand cash flow and durability, not just fast growth.Umesh talks about why open source has become a powerful sales funnel for modern AI companies. Developers become the first users, and community adoption turns into long-term enterprise revenue.After four decades in Silicon Valley and 20 years as a VC, Umesh shares what keeps him in building and investing.0:00 – How big is the scope for investing in AI startups?04:04 – Do unit economics justify large AI valuations?06:00 – Thomvest's LLM investment thesis (Cohere case study)09:18 – Are CTO roles changing in AI11:21 – Traits of the best AI founding teams13:40 – Timeline to find the best founders16:52 – Partnership with Jyoti Bansal19:07 – Where is the IPO market headed?23:40 – Salesforce–Clari acquisition25:18 – Is profitability a prerequisite to go public?26:00 – Can the India–US corridor beat US–Israel?28:53 – Umesh's investment philosophy31:08 – Open source as a sales funnel33:38 – IIT → Stanford → Startups41:45 – The only CEO with 60 direct reports43:43 – Why Jensen never does 1-on-1s?48:23 – What ultimately drives Umesh Padval?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send a text

In this episode of Tank Talks, Matt Cohen and John Ruffolo rip through a stacked rundown of tech, venture capital, and geopolitical “sovereignty” theater. They open with Europe's accelerating shift away from Microsoft Office and big U.S. platforms toward open-source alternatives, then jump straight into a breaking change from Y Combinator CEO Garry Tan: Canada is back on the list of accepted incorporations, reversing a move that sparked serious backlash about Canadian startup brain drain and U.S.-domicile pressure.From there, they dissect Elon Musk's headline-grabbing SpaceX–xAI all-stock merger and why it looks way better for xAI holders than SpaceX shareholders ahead of a rumored SpaceX IPO window. The episode also digs into Canada's national AI consultation (and the government openly using multiple LLM providers like Cohere and OpenAI to process submissions), the EU's push for digital sovereignty (and the risks of swapping to “free” tools), and the brutal reality of AI-driven search gutting legacy media traffic, with the Washington Post laying off a third of its newsroom. The big throughline: information is cheap now, execution and trust are expensive, and countries (and companies) that don't adapt are about to get cooked.Y Combinator Reverses Course: Canada Back on the List (00:43)YC CEO Garry Tan adds Canada back to YC's list of accepted incorporation jurisdictions after removing it, triggering a wave of criticism. Matt and John break down what changed, why the original rationale (Canadian winners re-domiciling to the U.S.) was a flawed signal, and why the real issue is still Canadian capital formation and follow-on funding strength.SpaceX Buys xAI: A $1.25T Story Swap Before an IPO? (02:34)Matt tees up the shocker: SpaceX acquires xAI in an all-stock deal valuing xAI at $250B and SpaceX at $1T, creating a combined $1.25T entity. They discuss xAI's massive burn versus SpaceX's improving cash profile (driven by Starlink) and why this kind of move raises eyebrows heading into an IPO narrative.Second-Order Effects: When a Cash-Burning AI Company Merges Into Space Infrastructure (07:35)They debate whether this becomes a template for other pre-IPO restructures or stays a one-off “Elon special.” John says a Starlink-style consolidation would make strategic sense; folding in xAI doesn't feel like a choke-point win.Canada's AI Strategy Consultation: Government Using LLMs in the Workflow (09:10)Canada's ISED publishes a high-level summary of its AI consultation and explicitly notes using multiple LLMs and pipelines (including Cohere and OpenAI) to process massive public input. Matt frames this as a meaningful “government actually doing something” moment, even if the public is still anxious about jobs and privacy.Europe's Digital Sovereignty Push: Dropping Teams/Zoom for Open Source? (12:40)They react to reports of governments moving away from Teams/Zoom and Microsoft tooling in the name of sovereignty. Matt calls the open-source swap risky from a security and operational standpoint; John says the bigger signal is global: sovereignty is now a first-order priority, and Canada can't pretend this wave isn't coming.Washington Post Layoffs: AI Search Is Eating the Referral Economy (16:48)Matt highlights the Washington Post's reported search traffic collapse and layoffs impacting a third of the newsroom. John calls journalism an obvious early disruption target: LLMs compress content production costs, and the old newsroom pyramid doesn't match the new economics.The Survival Play: Media Becomes a Live Events Business (19:26)They land on the counter-move: stop fighting the trend and monetize what still works: brand, access, community, and in-person experiences. If content becomes commoditized, relationships and trust become the product.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Joelle Pineau is the chief AI officer at Cohere. Pineau joins Big Technology Podcast to discuss where the cutting edge of AI research is headed — and what it will take to move from impressive demos to reliable agents. Tune in to hear why memory, world models, and more efficient reasoning are emerging as the next big frontiers, plus what current approaches are missing. We also cover the “capability overhang” in enterprise AI, why consumer assistants still aren't lighting the world on fire, what AI sovereignty actually means, and whether the major labs can ever pull away from each other. Hit play for a cool-headed, deeply practical look at what's next for AI and how it gets deployed in the real world. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

We are reupping this episode after LMArena announced their fresh Series A (https://www.theinformation.com/articles/ai-evaluation-startup-lmarena-valued-1-7-billion-new-funding-round?rc=luxwz4), raising $150m at a $1.7B valuation, with $30M annualized consumption revenue (aka $2.5m MRR) after their September evals product launch.—-From building LMArena in a Berkeley basement to raising $100M and becoming the de facto leaderboard for frontier AI, Anastasios Angelopoulos returns to Latent Space to recap 2025 in one of the most influential platforms in AI—trusted by millions of users, every major lab, and the entire industry to answer one question: which model is actually best for real-world use cases? We caught up with Anastasios live at NeurIPS 2025 to dig into the origin story (spoiler: it started as an academic project incubated by Anjney Midha at a16z, who formed an entity and gave grants before they even committed to starting a company), why they decided to spin out instead of staying academic or nonprofit (the only way to scale was to build a company), how they're spending that $100M (inference costs, React migration off Gradio, and hiring world-class talent across ML, product, and go-to-market), the leaderboard delusion controversy and why their response demolished the paper's claims (factual errors, misrepresentation of open vs. closed source sampling, and ignoring the transparency of preview testing that the community loves), why platform integrity comes first (the public leaderboard is a charity, not a pay-to-play system—models can't pay to get on, can't pay to get off, and scores reflect millions of real votes), how they're expanding into occupational verticals (medicine, legal, finance, creative marketing) and multimodal arenas (video coming soon), why consumer retention is earned every single day (sign-in and persistent history were the unlock, but users are fickle and can leave at any moment), and his vision for Arena as the central evaluation platform that provides the North Star for the industry—constantly fresh, immune to overfitting, and grounded in millions of real-world conversations from real users.We discuss:* The $100M raise: use of funds is primarily inference costs (funding free usage for tens of millions of monthly conversations), React migration off Gradio (custom loading icons, better developer hiring, more flexibility), and hiring world-class talent* The scale: 250M+ conversations on the platform, tens of millions per month, 25% of users do software for a living, and half of users are now logged in* The leaderboard illusion controversy: Cohere researchers claimed undisclosed private testing created inequities, but Arena's response demolished the paper's factual errors (misrepresented open vs. closed source sampling, ignored transparency of preview testing that the community loves)* Why preview testing is loved by the community: secret codenames (Gemini Nano Banana, named after PM Naina's nickname), early access to unreleased models, and the thrill of being first to vote on frontier capabilities* The Nano Banana moment: changed Google's market share overnight, billions of dollars in stock movement, and validated that multimodal models (image generation, video) are economically critical for marketing, design, and AI-for-science* New categories: occupational and expert arenas (medicine, legal, finance, creative marketing), Code Arena, and video arena coming soonFull Video EpisodeTimestamps00:00:00 Introduction: Anastasios from Arena and the LM Arena Journey00:01:36 The Anjney Midha Incubation: From Berkeley Basement to Startup00:02:47 The Decision to Start a Company: Scaling Beyond Academia00:03:38 The $100M Raise: Use of Funds and Platform Economics00:05:10 Arena's User Base: 5M+ Users and Diverse Demographics00:06:02 The Competitive Landscape: Artificial Analysis, AI.xyz, and Arena's Differentiation00:08:12 Educational Value and Learning from the Community00:08:41 Technical Migration: From Gradio to React and Platform Evolution00:10:18 Leaderboard Delusion Paper: Addressing Critiques and Maintaining Integrity00:12:29 Nano Banana Moment: How Preview Models Create Market Impact00:13:41 Multimodal AI and Image Generation: From Skepticism to Economic Value00:15:37 Core Principles: Platform Integrity and the Public Leaderboard as Charity00:18:29 Future Roadmap: Expert Categories, Multimodal, Video, and Occupational Verticals00:19:10 API Strategy and Focus: Doing One Thing Well00:19:51 Community Management and Retention: Sign-In, History, and Daily Value00:22:21 Partnerships and Agent Evaluation: From Devon to Full-Featured Harnesses00:21:49 Hiring and Building a High-Performance Team Get full access to Latent.Space at www.latent.space/subscribe

From building LMArena in a Berkeley basement to raising $100M and becoming the de facto leaderboard for frontier AI, Anastasios Angelopoulos returns to Latent Space to recap 2025 in one of the most influential platforms in AI—trusted by millions of users, every major lab, and the entire industry to answer one question: which model is actually best for real-world use cases? We caught up with Anastasios live at NeurIPS 2025 to dig into the origin story (spoiler: it started as an academic project incubated by Anjney Midha at a16z, who formed an entity and gave grants before they even committed to starting a company), why they decided to spin out instead of staying academic or nonprofit (the only way to scale was to build a company), how they're spending that $100M (inference costs, React migration off Gradio, and hiring world-class talent across ML, product, and go-to-market), the leaderboard delusion controversy and why their response demolished the paper's claims (factual errors, misrepresentation of open vs. closed source sampling, and ignoring the transparency of preview testing that the community loves), why platform integrity comes first (the public leaderboard is a charity, not a pay-to-play system—models can't pay to get on, can't pay to get off, and scores reflect millions of real votes), how they're expanding into occupational verticals (medicine, legal, finance, creative marketing) and multimodal arenas (video coming soon), why consumer retention is earned every single day (sign-in and persistent history were the unlock, but users are fickle and can leave at any moment), the Gemini Nano Banana moment that changed Google's market share overnight (and why multimodal models are becoming economically critical for marketing, design, and AI-for-science), how they're thinking about agents and harnesses (Code Arena evaluates models, but maybe it should evaluate full agents like Devin), and his vision for Arena as the central evaluation platform that provides the North Star for the industry—constantly fresh, immune to overfitting, and grounded in millions of real-world conversations from real users. We discuss: The $100M raise: use of funds is primarily inference costs (funding free usage for tens of millions of monthly conversations), React migration off Gradio (custom loading icons, better developer hiring, more flexibility), and hiring world-class talent The scale: 250M+ conversations on the platform, tens of millions per month, 25% of users do software for a living, and half of users are now logged in The leaderboard illusion controversy: Cohere researchers claimed undisclosed private testing created inequities, but Arena's response demolished the paper's factual errors (misrepresented open vs. closed source sampling, ignored transparency of preview testing that the community loves) Why preview testing is loved by the community: secret codenames (Gemini Nano Banana, named after PM Naina's nickname), early access to unreleased models, and the thrill of being first to vote on frontier capabilities The Nano Banana moment: changed Google's market share overnight, billions of dollars in stock movement, and validated that multimodal models (image generation, video) are economically critical for marketing, design, and AI-for-science New categories: occupational and expert arenas (medicine, legal, finance, creative marketing), Code Arena, and video arena coming soon Consumer retention: sign-in and persistent history were the unlock, but users are fickle and earned every single day—"every user is earned, they can leave at any moment" — Anastasios Angelopoulos Arena: https://lmarena.ai X: https://x.com/arena Chapters 00:00:00 Introduction: Anastasios from Arena and the LM Arena Journey 00:01:36 The Anjney Midha Incubation: From Berkeley Basement to Startup 00:02:47 The Decision to Start a Company: Scaling Beyond Academia 00:03:38 The $100M Raise: Use of Funds and Platform Economics 00:05:10 Arena's User Base: 5M+ Users and Diverse Demographics 00:06:02 The Competitive Landscape: Artificial Analysis, AI.xyz, and Arena's Differentiation 00:08:12 Educational Value and Learning from the Community 00:08:41 Technical Migration: From Gradio to React and Platform Evolution 00:10:18 Leaderboard Delusion Paper: Addressing Critiques and Maintaining Integrity 00:12:29 Nano Banana Moment: How Preview Models Create Market Impact 00:13:41 Multimodal AI and Image Generation: From Skepticism to Economic Value 00:15:37 Core Principles: Platform Integrity and the Public Leaderboard as Charity 00:18:29 Future Roadmap: Expert Categories, Multimodal, Video, and Occupational Verticals 00:19:10 API Strategy and Focus: Doing One Thing Well 00:19:51 Community Management and Retention: Sign-In, History, and Daily Value 00:22:21 Partnerships and Agent Evaluation: From Devon to Full-Featured Harnesses 00:21:49 Hiring and Building a High-Performance Team

How do companies like Salesforce and Dell scale intelligence across every cloud?Aidan Gomez, co-founder and CEO of Cohere, explains how they're building AI that works across all enterprise systems and deploys anywhere, giving companies true flexibility and security.He joins Joubin Mirzadegan for a wide-ranging conversation on why synthetic data went from dismissed to indispensable, and how the race among AI labs is really unfolding.Guest: Aidan Gomez, co-founder and CEO of CohereConnect with Aidan: XLinkedInConnect with Joubin: XLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins