Podcasts about vertex ai

Subscribe at Thisnewway.com to get the step-by-step AI workflows.In episode 3 of This New Way, Aydin sits down with Philippe Dame, CPO of Recollective, to unpack how AI is transforming qualitative market-research, sales operations, internal knowledge-sharing, and day-to-day productivity.Phil walks through the product pivot that turned Recollective's vast unstructured data into an “AI-first” insights engine, then demos a stack of no-code automations — from AI-powered lead scoring in Google Sheets to a self-serve Vertex AI search that makes every doc, deck, and Gong call instantly searchable.You'll hear concrete play-by-plays, see cost breakdowns , and learn how to start small, scale fast, and turn AI into a force-multiplier across your org.Timestamps:00:35 Phil's background and early web-tool days01:44 Pivot to Recollective and focus on market-research tech03:18 Why hybrid qual + quant research matters03:58 Unstructured data → perfect AI playground04:50 “Roadmap reset” after ChatGPT pressure06:00 How the team up-skilled on LLMs & vector DBs08:12 First AI features: summarization → theme extraction → comparisons09:05 Making space for AI work without derailing commitments10:10 Company-wide AI wins: sales data mining & lead scoring13:08 Relay + Google Sheets workflow for automated enrichment16:18 Running internal “AI office hours” to drive adoption17:05 Staying current: newsletters, trials, and cost control20:25 Seat-based vs. usage-based pricing—Phil's take23:04 Perplexity as Phil's go-to research sidekick24:50 Cutting the “collaboration tax” with self-serve AI answers27:24 Live demo: Recollective's Ask-AI tab & verbatim citations31:28 Segment @mentions for instant comparative analysis37:04 Emotion tagging and drilling into negative feedback38:30 Building an internal Vertex-AI search in one afternoon42:23 Agent Builder setup walkthrough44:34 Relay use-cases: lead workflows, news scraping, stand-up bot53:23 n8n migrations: 4,000 Gong calls plus on-the-fly analysis56:30 OpenAI Playground & Notebook LM for ad-hoc knowledgebases1:02:20 Google AI Studio multimodal experiments (free)1:04:04 Start simple—one use-case, one stakeholder, iterateTools & Resources Mentioned:AI / LLMs & Model-PlaygroundsChatGPT (OpenAI)OpenAI Platform & PlaygroundClaude (Anthropic)Perplexity Pro- Google Gemini (Workspace)Google AI StudioKnowledgeBase & Search Vertex AI Agent Builder / Search (Google Cloud) Notebook LM (Google) Internal Vertex-powered “ask-AI” portalAutomation & WorkflowsRelay (no-code workflow tool with AI steps)Zapier (reference point)n8n (open-source automation + AI agents)Data, CRM & Sales EnablementGoogle SheetsSalesforceOutreachGong (call recordings)Collaboration & ProductivitySlack (AI channel, human-in-the-loop flows)Notion (company intranet)Google Drive & Google CalendarRSS feeds + custom “Article Extractor” scraperCore ProductRecollective (Phil's qualitative-research platform with built-in AI features)Developer / Engineering UtilitiesCursor IDE (AI-assisted coding, briefly cited)

Since last year, Google has had 40x growth in Gemini use on its Vertex AI platform, highlighting the pace of demand in AI, says Will Grannis, chief technology officer of Google Cloud. In this episode of Tech Disruptors, Grannis sits down with Bloomberg Intelligence senior analyst Mandeep Singh to talk about the variety of use cases with large-language-model deployments. They discuss the company's Ironwood TPU launch to give an end-to-end stack perspective around inferencing workloads, and what it means for cloud demand.

RJJ Software's Software Development Service This episode of The Modern .NET Show is supported, in part, by RJJ Software's Software Development Services, whether your company is looking to elevate its UK operations or reshape its US strategy, we can provide tailored solutions that exceed expectations. Show Notes "So on my side it was actually, the interesting experience was that I kind of used it one way, because it was mainly about reading the Python code, the JavaScript code, and, let's say like, the Go implementations, trying to understand what are the concepts, what are the ways about how it has been implemented by the different teams. And then, you know, switching mentally into the other direction of writing than the code in C#."— Jochen Kirstaetter Welcome friends to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. We are the go-to podcast for .NET developers worldwide, and I am your host: Jamie “GaProgMan” Taylor. In this episode, Jochen Kirstaetter joined us to talk about his .NET SDK for interacting with Google's Gemini suite of LLMs. Jochen tells us that he started his journey by looking at the existing .NET SDK, which didn't seem right to him, and wrote his own using the HttpClient and HttpClientFactory classes and REST. "I provide a test project with a lot of tests. And when you look at the simplest one, is that you get your instance of the Generative AI type, which you pass in either your API key, if you want to use it against Google AI, or you pass in your project ID and location if you want to use it against Vertex AI. Then you specify which model that you like to use, and you specify the prompt, and the method that you call is then GenerateContent and you get the response back. So effectively with four lines of code you have a full integration of Gemini into your .NET application."— Jochen Kirstaetter Along the way, we discuss the fact that Jochen had to look into the Python, JavaScript, and even Go SDKs to get a better understanding of how his .NET SDK should work. We discuss the “Pythonistic .NET” and “.NETy Python” code that developers can accidentally end up writing, if they're not careful when moving from .NET to Python and back. And we also talk about Jochen's use of tests as documentation for his SDK. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Supporting the Show If you find this episode useful in any way, please consider supporting the show by either leaving a review (check our review page for ways to do that), sharing the episode with a friend or colleague, buying the host a coffee, or considering becoming a Patron of the show. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-7/google-gemini-in-net-the-ultimate-guide-with-jochen-kirstaetter/ Jason's Links: JoKi's MVP Profile JoKi's Google Developer Expert Profile JoKi's website Other Links: Generative AI for .NET Developers with Amit Bahree curl Noda Time with Jon Skeet Google Cloud samples repo on GitHub Google's Gemini SDK for Python Google's Gemini SDK for JavaScript Google's Gemini SDK for Go Vertex AI JoKi's base NuGet package: Mscc.GenerativeAI JoKi's NuGet package: Mscc.GenerativeAI.Google System.Text.Json gcloud CLI .NET Preprocessor directives .NET Target Framework Monikers QUIC protocol IAsyncEnumerable Microsoft.Extensions.AI Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show

Hey everyone, Alex here

Google went AI nuts at Cloud Next, possibly taking the lead. OpenAI is reportedly ready to unveil up to five new models. Canva enters the AI arena with innovative features. This week's AI news is explosive. Catch up now!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on the news? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Cloud Next AI Announcements RecapOpenAI ChatGPT Memory Feature DetailsOpenAI and Elon Musk Legal BattleCanva AI Suite Expansion OverviewAnthropic Claude Max Subscription PricingMicrosoft's Data Center Strategy PivotShopify's AI Usage Mandatory PolicyUpcoming OpenAI Model Releases OverviewTimestamps:00:00 Technical Glitch with Equipment04:48 Gemini 2.5 Pro Launch07:06 Google's New AI Collaboration Protocols13:28 ChatGPT Enhances Memory for Personalization17:37 AI Surveillance Accusations in U.S. Agencies20:56 Canva Launches AI-Powered Suite23:10 AI Graphic Design Evolution26:02 "Musk's Lawsuit: A Delay Tactic"28:14 Anthropic Launches Claude Max Subscription34:05 Microsoft Pauses Data Center Expansion35:39 Microsoft's $80B AI Investment Strategy42:05 Shopify's Bold AI Integration Shift44:25 Maximize AI Before Hiring48:31 OpenAI Model Tiers Explained51:41 "GPT-5: Concerns on Model Autonomy"54:20 AI Innovations and Controversies OverviewKeywords:Google Cloud Next, AI updates, OpenAI, countersue, Elon Musk, Canva AI features, Gemini 2.5 Pro, Large Language Model, ChatGPT memory feature, AI race, GPT 4.1, Vertex AI, Google AI Studio, agent to agent protocol, Google Workspace, Google Sheets, MCP protocol, Google DeepMind, GDC, Ironwood TPU chip, Lyria AI model, AI video model, AI music generation, Elon Musk's Dodge team, government AI monitoring, Ethical AI use, Canva Sheets, Shopify CEO AI memo, Anthropic, Claude Max, Microsoft Copilot, AI infrastructure, Recall AI feature, data privacy concerns, AI-powered productivity, GPT models, AI operating systems, personalized AI, GMPT 4.5, AI sandbox, Nvidia hardware, test time computing, AI reasoning, ChatGPT preferences.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

On Wednesday, Google rolled out updates to several of its first-party media-generating AI models available through its Vertex AI cloud platform. Lyria, Google's text-to-music model, is now available in preview for select customers, and the company's Veo 2 video creation model has been enhanced with new editing and visual effects customization options. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dozens of AI updates.

Hey Folks, Alex here, celebrating an absolutely crazy (to me) milestone, of #100 episodes of ThursdAI

We gotta talk about this

SaaStr 796: The Secrets Inside Google Cloud's Growth with Sarah Kennedy, Vice President Google Cloud Marketing   In our latest episode of the SaaStr What's New series, SaaStr CEO and founder Jason Lemkin spoke with Sarah Kennedy, VP of Google Cloud Marketing. The conversation explores the explosive growth of Google Cloud and what's driving this momentum. Kennedy highlights the critical role AI plays in their success, from Google's world-class infrastructure to the cutting-edge AI models like Vertex AI and Gemini. We dive into the specifics of why startups and enterprises are increasingly choosing Google Cloud, the importance of customer-centric strategies, and the shift towards developer-led decisions. We also explore Google Cloud's major partnership with Salesforce and how AI and security are transforming business strategies. Tune in for insights on how Google Cloud is shaping the future of AI and stay ahead of the curve with expert tips on leveraging these technologies for your business. -------------------------------------------------------------------------------------------   Alright everybody in SaaS, this is it.  The biggest, best, most action-packed SaaS + AI event of the year—SaaStr Annual 2025—is coming this May. Three full days. 10,000+ SaaS and AI leaders and more tactical, no-fluff content than you'll find anywhere else.   If you want to scale faster—$10M, $50M, $100M ARR and beyond—you need the right playbooks, the right connections and the right people in your corner. And SaaStr Annual is where it all happens. We'll have 100's of Legendary speakers from companies like Snowflake, HubSpot, OpenAI, Canva, and more. More networking than you can handle—meet your next investor, co-founder, or biggest deal.  A New AI Demo & Pitch Stage— with your chance to win up to $5M in funding!  So don't wait—grab your tickets now at SaaStrAnnual.com with my code jason100 to save $100 on tickets before prices go up. That's jason 100 at saastrannual.com   See you in May!    --------------------------------------------------------------------------------------------   Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------

En este episodio de Voces de la Nube: Tendencias de IA, nuestro host Lalo Palacio recibe a Nicolás Lecaros Marchant, Arquitecto de Datos en Banco BICE, Instructor en Aprende.Cloud y Google Developer Expert (GDE), para discutir cómo la inteligencia artificial está transformando el trabajo de los desarrolladores.Con la llegada de herramientas como Gemini Code Assist y Vertex AI, la IA ya acelera el desarrollo, automatiza procesos y redefine la productividad. ¿Qué significa esto para los desarrolladores hoy, y cómo prepararse para el futuro?Y también tenemos la participación especial de la IA de Google, ¡Gemini! ¡Escúchalo ahora!Consulta los materiales mencionados en este episodio:AI Business Trends 2025Obtén ayuda para codificar con Gemini Code Assist, ahora de forma gratuitaDescubre tu plan de formación¿Te ha gustado el episodio? ¿Tienes alguna pregunta o sugerencia? ¡Contáctanos por correo electrónico a vocesdelanube@google.com

Neste episódio do Google Cloud Cast Apresenta AI Trends, Luana Costa, Partner Engineer de Data Analytics no Google Cloud, recebe Camilla Martins, Google Developer Expert de Cloud, especialista em desenvolvimento e criadora do canal Punk do DevOps, para discutir como a inteligência artificial está transformando o trabalho dos devs.Com ferramentas como Gemini Code Assist e Vertex AI, a IA já acelera o desenvolvimento, automatiza processos e redefine a produtividade. O que isso significa para os devs hoje – e como melhorar suas habilidades?E ainda temos a participação especial da IA do Google, Gemini! Ouça já!Confira os materiais mencionados neste episódio:AI Business Trends 2025Obtenha ajuda para codificar com o Gemini Code Assist, agora gratuitamenteDescubra seu programa de aprendizadoGostou do episódio? Tem alguma dúvida ou sugestão? Fale com a gente pelo e-mail googlecloudcast@google.com ou sugestão?

Google's Chirp 3 is coming to Vertex AI, Roblox announces text-to-shape generator Cube 3D, Alphabet spins off laser internet startup Taara. Show Notes

Google's Chirp 3 is coming to Vertex AI, Roblox announces text-to-shape generator Cube 3D, Alphabet spins off laser internet startup Taara. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you can supportContinue reading "Discord Announces Social SDK For Game Developers – DTH"

CeADAR and Google Ireland have announced a new strategic partnership to help Irish businesses capitalise on the economic potential of AI. CeADAR, Ireland's European Digital Hub for AI, and Google signed the agreement at a meeting with the Minister for Enterprise, Tourism and Employment, Peter Burke TD at Government Buildings. Recent research from Google and Implement Consulting Group shows that widespread adoption of AI has the potential to boost Ireland's GDP by €40-45 billion. The new partnership between CeADAR and Google aims to support Irish businesses to adopt AI to boost competitiveness and productivity. CeADAR and Google will focus on building an AI-ready workforce and driving the adoption of AI-powered solutions through a three-pillar approach: Addressing the AI skills gap - this includes tailored learning paths that provide on-demand training for varying proficiency levels, enhancing technical skills in cloud and product mastery while transforming leaders into AI-driven strategists. Scaling AI capabilities - empower Irish businesses to rapidly and responsibly test and implement AI solutions by leveraging Google's expertise and resources. CeADAR will provide access to Google Cloud resources, including €3M in Google Cloud credits and advanced AI tools like Vertex AI and Gemini 2.0. Investing in the future - preparing Ireland for the next phase of AI through training and mentorship initiatives, for CeADAR staff and interns, building key cloud related skills. Minister for Enterprise, Tourism and Employment, Peter Burke TD said: "This partnership between CeADAR and Google is the type of public and private sector collaboration that is needed to ensure we are equipping Irish businesses to benefit from the economic opportunities AI presents. AI has the potential to have a transformative, positive impact on Ireland's competitiveness and the government is committed to creating an ecosystem where businesses can fully utilise the power of AI to innovate, expand, and compete on a global scale." Lorraine Twohill, Chief Marketing Officer at Google said: "AI presents a tremendous opportunity for Ireland, with the potential to significantly boost the economy. Ireland has built a strong foundation for a safe and reliable AI environment, supported by the Government's clear ambition to capitalise on this transformative technology. This partnership with CeADAR is designed to help businesses navigate the challenges and opportunities AI brings - transforming how jobs are performed, creating new AI-focused roles, and enabling businesses to thrive in an AI-powered economy. By combining Google's expertise with CeADAR's capabilities, we are confident that we can unlock AI's full economic potential and drive sustainable growth across Irish businesses." Dr. John Lonsdale, CEO, CeADAR commented: "Unlocking AI's economic potential won't happen automatically and requires a proactive approach to workforce adaptation. We have been working with Irish businesses in recent years to help them leverage AI and machine learning but with the dynamic evolution of the technology more can be done to upskill Irish businesses, grow and nurture AI talent and facilitate faster adoption of AI. Ireland has a unique opportunity to harness the wider expertise that exists in our bustling tech sector - bringing our expertise together with Google is one key that can begin to unlock the economic opportunity AI will bring." Professor Kate Robson Brown, UCD Vice-President for Research, Innovation and Impact said, "Our researchers and innovators at University College Dublin (UCD) draw on the breadth and depth of their expertise to deliver knowledge and solutions that matter. They are leading the way in fields, such as AI, that are transforming the world around us. Advancing research and innovation is one of UCD's central pillars guiding the University to break boundaries and to deliver lasting and meaningful impact. "To do so we draw on our strengths and our partnerships, s...

Die Themen im heutigen Versicherungsfunk Update sind: Frauen deutlich seltener in der betrieblichen Altersvorsorge vertreten Eine aktuelle Auswertung der DCS Deutsche Clearing Stelle zeigt deutliche Unterschiede zwischen Männern und Frauen bei der betrieblichen Altersversorgung (bAV). Von 6.000 analysierten Verträgen entfallen nur 22,6 % auf Frauen, während 77,4 % von Männern abgeschlossen wurden. Hauptgründe sind laut DCS ungleiche Erwerbsbiografien und niedrigere Einkommen. Während Männer im Durchschnitt 175 Euro pro Monat in die bAV einzahlen, liegt der Beitrag bei Frauen bei 150 Euro. Stabilitätsrating: Viele BU-Versicherer erfüllen Anforderungen nicht Welche Berufsunfähigkeitsversicherer bieten langfristige Stabilität? Der neue MAP-Report liefert wertvolle Antworten – jedoch erfüllen viele Anbieter aufgrund mangelnder Transparenz nicht die Voraussetzungen für eine vollständige Bewertung. Versicherungsbote präsentiert die Ergebnisse. ==> https://www.versicherungsbote.de/id/4938200/Stabilitaetsrating-Viele-BU-Versicherer-erfuellen-Anforderungen-nicht/ Signal Iduna nutzt KI im Kundenservice Signal Iduna hat gemeinsam mit Google Cloud einen generativen Wissensassistenten für die Krankenversicherung eingeführt. Das KI-gestützte System soll den Kundenservice entlasten, indem es Anfragen zu Tarifbedingungen und Vertragswerken schneller beantwortet und die Recherche relevanter Dokumente erleichtert. Der Assistent basiert auf Google Gemini und Vertex AI und ist das erste Projekt der KI-Strategie von Signal Iduna, die den Einsatz smarter Agenten in weiteren Unternehmensbereichen vorsieht. Volkswagen Autoversicherung AG ernennt neuen CEO Zum 1. April 2025 übernimmt David Schlichter die Position des CEO der Volkswagen Autoversicherung AG, einem Joint Venture von Volkswagen Financial Services AG und Allianz. Schlichter kommt von der Allianz Versicherungs-AG, wo er derzeit den Bereich Motor Retail leitet. Er folgt auf Katharina Amann, die als Head of Business Division Asia Pacific zur Allianz SE wechselt und zum 31. März 2025 aus dem Vorstand der Volkswagen Autoversicherung AG ausscheidet. DVA bietet neues Online-Seminar zur Gender Pension Gap an Die Deutsche Versicherungsakademie (DVA) startet ein neues Online-Seminar zum Gender Pension Gap. Das Programm vermittelt Fach- und Führungskräften aus der Versicherungs- und Finanzbranche Kenntnisse zur Berechnung der Rentenlücke zwischen Männern und Frauen sowie gezielte Vorsorgestrategien. Die Teilnehmenden lernen, Ursachen zu analysieren, individuelle Rentenlücken zu berechnen und praxisnahe Lösungen zu entwickeln. Das Seminar bietet aktuelle gesetzliche Grundlagen und Fallbeispiele und wird flexibel online durchgeführt. FM veröffentlicht Resilience Index 2025 Der Industriesachversicherer FM hat den Resilience Index 2025 veröffentlicht, der die wirtschaftliche Widerstandsfähigkeit von 130 Ländern und Regionen bewertet. Dänemark belegt zum zweiten Mal in Folge den Spitzenplatz, gefolgt von Luxemburg und Norwegen. Der Index basiert auf 18 Kriterien, darunter Makrorisiken wie Inflation sowie physische Risiken wie Klimarisiken. Erstmals berücksichtigt FM eigene Daten zur Cybersicherheit. Die weiteren Top-Ten-Plätze gehen unter anderem an die Schweiz, Singapur, Schweden und Deutschland. --

Le BigDataHebdo reçoit Florian Caringi, responsable des plateformes Data & IA au sein du groupe BPCE. On discute de l'évolution des architectures Big Data, de Hadoop aux environnements hybrides et cloud, avec une adoption massive de Google Cloud (BigQuery, Vertex AI) pour des usages analytiques et data science.Florian partage son expérience sur les défis de migration, de FinOps, et l'intégration des IA génératives. Une discussion passionnante sur la modernisation des infrastructures et l'impact des nouvelles technologies dans les grandes organisations.Show notes et chapitres sur http://bigdatahebdo.com/podcast/episode-212-cloud-hybride-bpce/

Join Will Lu, CTO of Orby AI, as he shares insights from his journey from Google Cloud, where he helped develop Vertex AI and Document AI, to founding Orby AI, an enterprise platform focused on building AI agents for complex business processes. Lu discusses the evolution of AI accessibility, from the early days of deep learning to today's foundation models, and explains how Orby's Generative Process Automation (GPA) platform uses an observe-and-learn approach to help enterprises automate repetitive tasks with high accuracy. Lu shares his vision for the future of enterprise AI, including the potential of human-computer interaction data and Orby's open-source release of their ActIO model on HuggingFace.

Send Everyday AI and Jordan a text messageWondering if Claude's latest agentic AI is worth it? Computer Use is an agentic AI system that allows you to operate a virtual computer simply by speaking with Claude. We dive in and explain how it works. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Claude AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Overview of Anthropic Claude2. How to Use Claude Computer Use3. Critiques of Anthropic's Tools4. Future of AI AgentsTimestamps:00:00 AI agents essential in businesses by 2025.04:48 Google developing AI agent 'Jarvis'; competition intensifies.10:01 Using an API key; GitHub shares code.11:22 Docker is a versatile containerization tool for developers.15:36 Claude Sonnet 3.5 limits commands despite plans.17:08 Replace placeholder with copied API key.23:17 Demonstrating computer vision on a virtual desktop.25:33 Claude retained information without website visit.29:31 Experiencing repeated errors toggling between applications.30:49 Visit everydayai.com, list latest 3 episodes.35:10 Word document created with AI episode summaries.37:12 Direct AI with simple code; needs improvement.Keywords:Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces. Ready for ROI on GenAI? Go to youreverydayai.com/partner

UN says 17,000+ children without their families in Gaza Israel's genocidal war in Gaza has seen children killed, starved, frozen to death, orphaned and separated from their families, the UN humanitarian chief has said. At a UN Security Council meeting, the humanitarian chief Tom Fletcher said that ""a generation has been traumatised." "Conservative estimates indicate that over 17,000 children are without their families in Gaza," he said. Report reveals Google's secret AI support for Israel amid war on Gaza "Google has continued providing AI technologies to Israel's military-industrial complex despite public attempts to distance itself from the country's violent aggressions, according to a report by the Washington Post. According to the newspaper's investigation, Google has been supporting Israel's Defence Ministry and military with artificial intelligence tools since the onset of its attacks on Gaza on October 7, 2023, even as its employees protested the Nimbus cloud computing contract. The company documents reveal Google expedited access to its Vertex AI service for the Israeli Defence Ministry. Internal communications show Google employees were concerned about losing potential contracts to competitors like Amazon if they did not quickly provide AI technology access." Dozens of diplomats, officials ousted in sweeping reset at State Department "In a swift and sweeping move, the Trump administration has directed dozens of senior State Department officials to step aside, triggering one of the most extensive leadership shake-ups in recent history, according to US media. Career diplomats and political appointees alike, including some in top roles overseeing US foreign policy, have been reportedly instructed to vacate their positions in recent days as President Donald Trump's team accelerates its plans to realign the Department with the administration's vision. This dramatic overhaul, which includes the departure of key figures such as John Bass and Geoff Pyatt, has sent shockwaves through Foggy Bottom." M23 rebels battling DRC army approach Goma city after seizing Sake town "Panic has spread in eastern Democratic Republic of Congo's main city, with M23 rebels steadily inching closer to Goma and seizing a nearby town as they battle the Congolese army. Bombs were heard going off in the city's distant outskirts and hundreds of wounded civilians were brought in to the main hospital from the area of the fighting. The rebel group has pushed significantly in recent weeks, closing in on Goma, which has around 2 million people and is a regional hub for security and humanitarian efforts." Climate shocks disrupted schooling for 242M children in 2024 — UN "Extreme weather disrupted the schooling of about 242 million children in 85 countries last year — roughly one in seven students, the UN children's agency has reported. It deplored what it said was an ""overlooked"" aspect of the climate crisis. Heat waves had the biggest impact, the report showed, as UNICEF's executive director Catherine Russell warned children are ""more vulnerable"" to extreme weather."

Welcome to episode 288 of The Cloud Pod – where the forecast is always cloudy! Justin, Ryan, and Jonathan are your hosts as we make our way through this week's cloud and AI news, including back to Vertex AI, Project Digits, Notebook LM, and some major improvements to AI image generation.  Titles we almost went with this week: Digits… I'll show you 5 digits… The only digit the AWS local zone in New York shows me is the middle one Keep one eye open near Mercedes with Agentic AI A big thanks to this week's sponsor: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our slack channel for more info.  General News 01:59 Nvidia announces $3,000 personal AI supercomputer called Digits If you don't want to hand over all your money to the cloud providers, you will be able to hand over $3,000 dollars to Nvidia… for a computer that is probably going to be obsolete in

Shoot us a Text.9 days to NADA and you can feel the anticipation around the social media halls. Today, we're talking about how the US Commerce Department is banning Chinese and Russian car hardware and software, Google's new automotive AI agent debuting in the Mercedes CLA and Target changing production timelines to match social media trends.Show Notes with links:The U.S. government has finalized a sweeping ban on the use of Chinese and Russian-made hardware and software in internet-connected vehicles to bolster national security and protect consumer privacy.The Commerce Department will ban Chinese and Russian connectivity hardware in 2030 models and driving software from 2027 models.Manufacturers tied to China and Russia are also prohibited from selling connected vehicles in the U.S.Commercial vehicles, such as trucks and buses, are not yet covered but will be addressed soon.Secretary Gina Raimondo stressed the ban as a measure to protect national security and American privacy. “This is a targeted approach to ensure we keep PRC and Russian-manufactured technologies off American roads,” Google Cloud has unveiled its Automotive AI Agent platform, debuting in the new Mercedes CLA. The advanced system promises seamless, conversational interactions tailored for driver with enhanced natural language processing.The next-gen MBUX Virtual Assistant has four “personality traits” (natural, predictive, personal, empathetic) and can ask clarifying questions to improve responses.Powered by Google's Gemini and Vertex AI, it offers real-time Google Maps updates, restaurant reviews, recommendations, and handles multi-turn dialogue.Older Mercedes models with MBUX Voice Assistant may receive updates incorporating ChatGPT and Bing, though without full conversational AI features.“This is just the beginning of how agentic capabilities can transform the automotive industry,” said Sundar Pichai, Google CEO.Target is speeding up its production process, slashing timelines from 27 weeks to just eight, to keep pace with consumer demands and trends driven by digital giants like Shein and Temu.Target's new model responds to rapidly shifting social media trends, aiming to match fast fashion's quick go-to-market strategies.For example, Target recently pivoted from decorative bows to cherry-themed holiday apparel, responding to consumer demand in time for the season.Innovations in supply chain and design allow Target to cut product development cycles by nearly 70%.“The next chapter in retail is going to be about innovation, newness, creativity,” said Rick Gomez, Target's Chief Commerce Officer.Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

We continue our series of conversations about Artificial Intelligence and how it's changing the world around us. In today's episode, Frances talks to an AI engineer at Google about the ins and outs of the newest crop of AI models and agents.Joining the show to give an insider's perspective is Derek Egan. Derek is on the Vertex AI team at Google Cloud where he works on helping developers build generative AI-powered agents for their own applications. Derek is also a graduate of the David Eccles School of Business with a degree in Operations Management. David and Frances discuss the difference between models and agents, and why humans are still very much integral to the process. They address the strengths and weaknesses of these types of systems and the ways in which they might be used by organizations most effectively to help them work more efficiently. Derek speaks to the realistic worries of some AI critics and gives some of his own real-life examples of how AI agents help streamline his work life and personal life. Eccles Business Buzz is a production of the David Eccles School of Business and is produced by University fm.Show Links:Derek Egan | LinkedInVertex AI | Google CloudMaster of Science in Business Analytics - The David Eccles School of BusinessDavid Eccles School of Business (@ubusiness) • InstagramEccles Alumni Network (@ecclesalumni) • Instagram Eccles Experience MagazineEpisode Quotes:Google Cloud invests in explainable AI and safety filters to build AI that benefits everyone[09:06] How can we build AI that's beneficial for all is a critical question. At Google Cloud, we take that really seriously for responsible AI. It all starts with a set of AI principles that translates into multiple things in practice as we build these products and up front and not as an afterthought. A few examples of that are ethical reviews. So,  internally, there are dedicated teams that essentially conduct  ethical analysis and risk assessments for any new product that's going to launch and their job is to identify potential biases. [09:57] We haven't been perfect here and no one has been perfect here because it's a process and we're all learning. And that's also why, as we gain learnings and learn how to interact with these models and how to control the types of responses, we're also building explainability into the models themselves. That's really important. AI will not take away your job but someone who uses it better might. 18:35 If I'm a student at the University of Utah right now in the David Eccles School of Business or an alumni, I would be pretty anxious about this, right? Like, hey, how does AI impact my job? What I would encourage people though, is to think about reframing that question.  And the way I reframe it is I don't think AI is going to replace your job, and I don't think you're competing directly with AI for your job. I do think you're going to compete with other people who can competently use AI to do your job and that will lead to disruption. That will lead to a change in the way that works done, day in and day out. So, my guidance, my invitation would be to try it out, embrace AI and start using it. See how it can make you more productive. See how it can take the nitty gritty tasks off of your plate and help you to automate them on your behalf.Derek shares a developer's guide for building AI applications.32:39 If you are a developer and you want to build an application, my guidance would be to identify something that's fairly low hanging fruit, fairly simple, where you're going to get started. And where it's going to be an interaction between the person and the agent and not something that's going to go run autonomously and not have the right feedback loop. And then you can measure and get a sense for how helpful is that agent, and then iterate on it. And I'd encourage you to check out some of the use cases. We have like 185 customer use cases on a blog post published from Google Cloud. But there's a bunch of examples out there and there's a bunch of documentation that we offer as well to help people get started.

It's In the News.. a look at the top headlines and stories in the diabetes community. This week's top stories: Mannkind releases info about it's Afrezza pediatric studies, Dexcom launches AI tech with Stelo, Health Canada approves Tandem/Dexcom G7, diabetes drug may help sleep apnea, an app in development to help drivers with T1D and more! Find out more about Moms' Night Out  Please visit our Sponsors & Partners - they help make the show possible! Learn more about Gvoke Glucagon Gvoke HypoPen® (glucagon injection): Glucagon Injection For Very Low Blood Sugar (gvokeglucagon.com) Omnipod - Simplify Life Learn about Dexcom  Edgepark Medical Supplies Check out VIVI Cap to protect your insulin from extreme temperatures Learn more about AG1 from Athletic Greens  Drive research that matters through the T1D Exchange The best way to keep up with Stacey and the show is by signing up for our weekly newsletter: Sign up for our newsletter here Here's where to find us: Facebook (Group) Facebook (Page) Instagram Twitter Check out Stacey's books! Learn more about everything at our home page www.diabetes-connections.com  Reach out with questions or comments: info@diabetes-connections.com Episode transcription with links: Hello and welcome to Diabetes Connections In the News! I'm Stacey Simms and every other Friday I bring you a short episode with the top diabetes stories and headlines happening now. XX Mannkid expects to talk to the FDA about Afrezza inhaled insulin for pediatric approval early in 2025. The company just announced six-month results from its Phase 3 INHALE-1 study of kids aged 4-17 with type 1 or type 2 diabetes comparing either inhaled pre-meal insulin or multiple daily injections (MDI) of rapid-acting insulin analog, both in combination with basal insulin. A 26-week extension phase in which all remaining MDI patients were switched to inhaled insulin is ongoing. HbA1c change over 26 weeks exceeded the prespecified non-inferiority margin of 0.4% (0.435%), largely driven by the variability of a single patient who did not adhere to the study protocol. A modified ITT (mITT) analysis, which excluded this subject, did not exceed the predetermined threshold of 0.4% (0.370%), thereby establishing the non-inferiority of Afrezza to MDI, which was the primary endpoint of the study. Over 26 weeks of treatment, there were no differences in lung function parameters between the treatment groups, There were no differences between groups or concerns in other safety measures, including hypoglycemia. https://www.medscape.com/viewarticle/inhaled-insulin-benefits-kids-diabetes-too-2024a1000nex   XX Dexcom announces the use of AI for its Stelo platform. The company says the new Dexcom GenAI platform will analyze individual health data patterns to reveal a direct association between lifestyle choices and glucose levels while providing actionable insights to help improve metabolic health. Stelo users will start seeing the features this week. The AI is modeled after Google Cloud's Vertex AI and Gemini models. We'll hear more about this in January – Dexcom will be part of a panel at the Consumer Electronics Show about AI and healthcare. BTW this press release is the first time I've seen what seems to be a new slogan for Dexcom – Discover What You're Made Of. https://www.businesswire.com/news/home/20241217011997/en/Dexcom-Launches-the-First-Generative-AI-Platform-in-Glucose-Biosensing XX Staying with Dexcom, users report that the geofencing issue we reported on seems to be resolved. Previously, if you had an issue with Dexcom G7 outside of your home country, you couldn't reinstall or use the app without customer support. With the latest iOS and Android G7 apps, this seems to be resolved. This is according to the folks in the DIY community who first brought it to my attention.   XX Interesting insulin development to watch. Egypt approves EVA Pharma's insulin drug products, which is a collbaration between Eli llly and EVA, an Egyptian company. The Egyptian Drug Authority approved the insulin glargine injection manufactured by EVA Pharma through a collaboration with Eli Lilly and Company (NYSE: LLY). Launched in 2022, the collaboration aims to deliver a sustainable supply of high-quality, affordable human and analog insulin to at least one million people annually living with type 1 and type 2 diabetes in low- to middle-income countries (LMICs), most of which are in Africa.   Lilly has been supplying its active pharmaceutical ingredient (API) for insulin to EVA Pharma at a significantly reduced price and providing pro-bono technology transfer to enable EVA Pharma to formulate, fill and finish insulin vials and cartridges. This collaboration is part of the Lilly 30x30 initiative, which aims to improve access to quality health care for 30 million people living in resource-limited settings annually by 2030. https://www.prnewswire.com/news-releases/lilly-and-eva-pharma-announce-regulatory-approval-and-release-of-locally-manufactured-insulin-in-egypt-302333269.html     XX Can we add treating sleep apnea to the list of applications for terzepatide? That's the generic for Zepbound and Mounjaro. Phase 3 study shows that 10- and 15-milligram injections of Zepbound "significantly reduced the apnea-hypopnea index" among those who have obesity and moderate-to-severe obstructive sleep apnea. Eli Lilly said there was nearly a 20% reduction in weight among those in the trials. The company said it plans to submit its findings to the Food and Drug Administration and other global regulatory agencies beginning mid-year. https://www.aol.com/popular-weight-loss-drug-could-131507702.html   XX Health Canada okays Tandem's tslim X2 with Dexcom G7 and G6 making it the first and only insulin pump in Canada that is integrated with both Dexcom sensors. Now, t:slim X2 users in Canada can experience even more choice when it comes to CGM compatibility, along with the option to spend more time in closed loop with Dexcom G7's 30-minute sensor warm-up time, faster than any other CGM on the market.3 In addition, t:slim X2 users who pair Dexcom G7 with an Apple smartwatch4 can see their glucose numbers directly from their watch without having to access their pump or smartphone4. Tandem will email all in-warranty t:slim X2 users in Canada with instructions on how to add the new compatibility feature free of charge via remote software update. t:slim X2 pumps pre-loaded with the updated software will begin shipping to new customers in early January 2025.   To check coverage and start the process of getting a Tandem insulin pump, please visit tandemdiabetes.ca. https://www.businesswire.com/news/home/20241210731189/en/Tandem-tslim-X2-Insulin-Pump-Now-Compatible-with-Dexcom-G7-CGM-in-Canada XX A federal jury on Tuesday awarded Insulet $452 million in its patent skirmish with EOFlow over insulin patch pumps. The jury awarded Insulet $170 million in compensatory damages from EOFlow and an additional $282 million in exemplary damages for willful and malicious misappropriation. A judge has not yet entered a judgment on the decision. Insulet filed a lawsuit in the U.S. District Court for the District of Massachusetts in 2023, claiming EOFlow copied patented components of its Omnipod insulin pumps. In October 2023, the Massachusetts district court issued a preliminary injunction against EOFlow. Following that decision, Medtronic called off plans to buy EOFlow for about $738 million.   A federal appeals court later overturned the preliminary injunction, and EOFlow resumed selling its devices in Europe. The company recently defended against a separate injunction filed by Insulet in Europe's Unified Patent Court, according to Korea Biomedical Review, an online English newspaper based in Seoul, South Korea.   The Massachusetts jury found this week that EOFlow and CEO Jesse Kim, as well as two of three former Insulet employees who were named as defendants in the lawsuit, misappropriated Insulet's trade secrets.   Insulet CEO Jim Hollingshead said the company is “extremely pleased with the jury's verdict.” EOFlow did not immediately respond to a request for comment. https://www.medtechdive.com/news/insulet-eoflow-jury-verdict-patent-lawsuit/734745/ XX A tele-education program for health care providers who treat people with diabetes resulted in significant improvements in patient outcomes, including better blood sugar levels and increased use of medical devices to manage the disease, a University of Florida study finds. Led by researchers in the UF College of Public Health and Health Professions and the UF College of Medicine, the program used the Extension for Community Health Care Outcomes model, which has been adopted worldwide to train clinicians who treat patients with a variety of conditions. Known as Project ECHO, this is one of the first to demonstrate patient benefits for the program in a large, randomized trial. The findings appear in the journal Diabetes Care. https://ufhealth.org/news/2024/clinician-training-program-leads-to-better-outcomes-for-patients-with-diabetes XX New app under development to make driving safer for people with diabetes. Diabetes Driving Pal says it will use CGM data and guide you while you are driving without any annoying alerts. Guidance/suggestions will be on your car dashboard so that you don't have to look at phone and it will be very individualized and actionable. In a study last year, ~70% of people have reported (5% reported accident) to have at least one low blood sugar while driving and most reported that CGM alerts were not enough to protect them. We are hoping to start beta testing in a few months. We are trying to raise the fund to develop this product. We need your support. For more information, please visit: https://lnkd.in/gTDhnDc4 XX I'm also going to link to the top ten most read diabetes and endocrinology stories of 2024 from Medscape. This is almost all GLP-1 related.. and mostly for people with type 2. https://www.medscape.com/viewarticle/icymi-top-10-diabetes-endocrinology-stories-2024-2024a1000n6u?&icd=login_success_email_match_fpf XX That's it for the last In the News of 2024! Don't miss out episode next week with a look ahead to what we're watching in 2025. I'm SS I'll see you back here soon…

Google DeepMind introduces Veo 2, a cutting-edge video-generating AI capable of producing 4K, two-minute clips—significantly surpassing OpenAI's Sora in resolution and duration. While Veo 2's capabilities are currently capped at 720p and eight seconds within Google's VideoFX tool, broader access is planned through Google's Vertex AI as the technology scales. Subscribe to the Newsletter. Join … Continue reading Google DeepMind Unveils Veo 2: A Next-Gen Video AI #1787 → The post Google DeepMind Unveils Veo 2: A Next-Gen Video AI #1787 appeared first on Geek News Central.

Das ist das KI-Update vom 05.12.2024 unter anderem mit diesen Themen: OpenAI eröffnet Büro in der Schweiz – samt neuer Mitarbeiter Googles KI-Videogenerator Veo ist ab sofort auf Vertex AI verfügbar Verbesserte KI-Logik durch Fokus auf kritische Token und New Yorks ÖPNV-KI zeigt Hunderte Falschparker an – zu Unrecht Links zu allen Themen der heutigen Folge findet Ihr hier: https://heise.de/-10189147 https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki https://www.ki-adventskalender.de/

The United States has imposed new export restrictions on 140 Chinese companies to curb advancements in semiconductors, particularly in AI and military applications, potentially disrupting the global supply chain and increasing costs across industries. This move has sparked criticism from China's Commerce Ministry and highlights ongoing geopolitical tensions. Google's AI video generator, Veo, will soon be available for private preview on Google Cloud's Vertex AI, enabling clients like Quora and Mondelez International to create high-definition video content. Google is addressing ethical and legal concerns related to AI-generated content and intellectual property rights. Vishnu Mohandas, after leaving Google over privacy concerns, created Ente, a secure, end-to-end encrypted photo storage service prioritizing user privacy. Ente has gained over 100,000 users, offering a trustworthy alternative for those concerned about data security. Alfonso Cobo launched Hypelist, an app transforming traditional list-making into a visually appealing and user-friendly experience, integrating AI chatbots for personalized recommendations and fostering community collaboration. OpenAI has appointed Kate Rouch as its first Chief Marketing Officer to enhance brand recognition and trust, focusing on promoting capabilities, ensuring ethical leadership, and leveraging strategic partnerships. Britain's National Cyber Security Centre reports a 16% rise in cyber incidents in 2024, with increasing sophistication of attacks leveraging AI, prompting advanced defense strategies and international collaborations. Clarifai launched a vendor-agnostic AI life cycle platform to revolutionize the orchestration, management, and optimization of computational resources for enterprise and government customers, marking a shift to more commercially viable and ethically sound AI applications.

L'essentiel des nouvelles le 5 décembre 2024---Créez un compte de courtage en ligne Qtrade investissement direct à https://ibref.ca/Qtrade-promo et vous pourriez recevoir jusqu'à 5% de remise en argent et 150$ en prime de bienvenue.---Le gouvernement Legault veut réviser le régime de négociations du secteur public L'agence Mobilité Infra Québec pourrait entrer en fonction dès l'an prochain Québec veut réduire la paperasse administrative de certains entrepreneurs Le gouvernement fédéral présentera-t-il une mise à jour économique avant la fin de l'année? En France, le gouvernement a été renversé Air Canada n'autorisera plus certains bagages en cabineDollarama agrandit ses ambitionsLa Banque Nationale se prépare à de mauvaises créancesLa chaine de restaurants Jack Le Coq a un nouveau propriétaireGoogle lance un générateur de vidéo par intelligence artificielleBaptisé Veo, ce générateur avait été présenté au printemps dernier. Il est désormais accessible sur Vertex AI, une plateforme pour entreprises de Google. Veo permet aux entreprises de générer des vidéos de haute qualité à partir de commandes textuelles ou d'images.Google soutient que cet outil leur permettra de réduire le cout et le temps de production de leurs vidéos. --- Détails sur ces nouvelles et autres nouvelles: https://infobref.com S'abonner aux infolettres gratuites d'InfoBref: https://infobref.com/infolettres Voir comment s'abonner au balado InfoBref sur les principales plateformes de balado: https://infobref.com/audio Commentaires et suggestions à l'animateur Patrick Pierra, et information sur la publicité-commandite de ce balado: editeur@infobref.com Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Shoot us a Text.We're coming to you live from Bozard Ford Lincoln as we're finishing up our More Than Cars shoot. Today, we're talking about how Nissan is trying to reassure its dealers that the sky isn't falling, how the US added 12,000+ new EV chargers in Q3, and how Google's Veo, a generative AI video model, beat OpenAI's Sora to market.Show Notes with links:Nissan Motor Co. is under pressure as financial challenges force the automaker to cut jobs and slow production. Activist investors and speculation about its future as an independent company are adding to the turmoil.U.S. dealers received a memo from Nissan Americas Chair Jeremie Papin outlining turnaround priorities: product competitiveness, business stabilization, and growth.Nissan has slashed its full-year income outlook by 70%, cut $2.6 billion in expenses, and laid off 9,000 workers globally, including 500 U.S. salaried employees.Market share has plummeted, dropping 25% over five years to just 5.6% in the U.S., with dealership profitability hitting a 15-year low.Production reductions include a 17% U.S. output cut, fewer assembly shifts, and an anticipated 100,000-vehicle drop in fiscal year production.Papin reassured dealers of Nissan's liquidity, stating, “Our $9 billion in net cash allows us to prioritize future investments in research and development.”The US added 12,000 new EV charging ports in the past three months, bringing the total to nearly 204,000 marking a doubling of chargers since late 2020, pre-Biden administration and NEVI Program launch.NEVI (National Electric Vehicle Infrastructure) Formula Program contributed 126 ports across 31 stations in nine states this quarter, an 83% increase in open NEVI ports since Q3.Coverage of DC fast chargers on major corridors grew from 38% in 2020 to 59.1% in 2024; expected to reach 70% by late 2025.41 states have announced charging projects under NEVI, with 35 awarding agreements for over 3,560 fast charging ports across 890+ locations.Rhode Island became the first fully built-out NEVI state, while states like Kentucky, Hawaii, and Maine opened new stations, advancing access nationwide.The program has allocated nearly $2.4 billion in funding across two rounds to all 50 states, Puerto Rico, and the District of Columbia. $586 million has been set aside for a third round of funding for fiscal year 2025.​​Google's Veo, a generative AI video model, is now available via Vertex AI, beating OpenAI's Sora to market. Veo offers powerful tools for businesses to enhance content creation pipelines.Veo generates realistic 1080p videos over a minute long from text or image prompts.Text-to-image tools also roll out to all Vertex AI users next week, with features for brand-specific editing.SynthID watermarking prevents misinformation and copyright issues, rivaling Adobe's tools.Google reports that 86% of AI-using businesses are seeing revenue boostsHosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us AI Proposal to "Refactor" U.S. Legal System Gains Momentum A Peter Thiel-backed entrepreneur suggests using AI to overhaul the U.S. legal framework, likening the process to "refactoring" code in software engineering. By analyzing vast legal data with NLP and AI models, dormant or redundant statutes could be flagged for review, streamlining regulations and reducing compliance burdens. Critics warn of potential risks, but proponents argue AI can assist, not replace, human oversight in simplifying legal complexities for modern governance. Amazon Unveils Nova AI Models to Compete with Adobe and Meta At its annual AWS conference, Amazon introduced Nova, a series of foundation AI models for text, image, and video generation, rivaling Adobe and Meta. The models promise improved speed, cost efficiency, and advanced capabilities like creating six-second videos with Nova Reel. Amazon also debuted its Canvas tool for image generation and announced upcoming multimodal AI functionalities. With plans for an enhanced Alexa and strategic partnerships, Amazon positions itself as a key player in generative AI. Google Launches Veo, Its Generative AI Video Model Google's Veo, a generative AI video model, is now available via its Vertex AI platform, enabling businesses to create 1080p videos from text or image prompts. Veo also integrates SynthID watermarks for content attribution. OpenAI lags with its Sora model as businesses increasingly adopt generative AI for revenue growth. Meta Reports AI Had Limited Impact on 2024 Elections Meta's Nick Clegg stated that generative AI had a modest influence on global elections in 2024, with Meta effectively countering disinformation using advanced tools. AI-generated deepfakes and misinformation were quickly exposed, but concerns remain about disinformation on other platforms like TikTok. Public distrust of AI in elections persists, though AI also enhanced voter education efforts.  AI-Powered Punching Bag Revolutionizes Home Fitness Growl, an AI-driven boxing trainer, combines augmented reality, 3D cameras, and advanced sensors to transform home workouts. Designed for precision and engagement, it analyzes form, measures impact, and offers real-time feedback through a projected coach interface. Growl delivers dynamic workouts tailored to user performance. Future updates promise deeper integration with wearables and interactive sparring. Music Industry Faces 25% Income Loss as AI Booms A global study by CISAC reveals that music sector workers could lose nearly 25% of income to generative AI by 2028. AI is projected to grow from a €3bn to €64bn market, enriching tech firms while reducing creators' earnings and opportunities. Policymakers, particularly in Australia and New Zealand, are urged to act to safeguard creators' rights and cultural assets.

A Daily Chronicle of AI Innovations on November 22-23 2024

I am thrilled to bring you my latest conversation with MP Eisen, VP of Partnerships at Glean, from the Google Cloud Marketplace Exchange! Glean is redefining the way enterprises access and utilize internal data, creating an "enterprise work assistant" that operates like an internal search engine, helping users find strategic insights, project updates, and account-specific information. MP shares Glean's journey as a Google Cloud partner, from their first Marketplace listing in 2023 to a rapid trajectory that's driven millions in consumption. Their approach? A laser focus on aligning Glean's offerings with Google's value propositions, from compute to Vertex AI's Gemini, resulting in a partnership that has rapidly scaled across multiple industry segments. Key takeaways from MP's insights: Clear Product-Partner Alignment: Ensuring Glean's product naturally drives value for Google's sellers and customers, particularly by tapping into incentives like quota retirement through Marketplace transactions. Focused Market Approach: Instead of broad targeting, Glean zeroes in on specific industries, regions, and segments, building success one focused area at a time—a strategy that's amplifying their presence within Google's ecosystem. Upstream Conversations: AI is shifting conversations to the C-suite, making executive buy-in critical for enterprise-wide adoption, with CIOs and CEOs seeing the transformational impact of AI in operations. Listen in on The Ultimate Guide to Partnering to learn.

I'm thrilled to introduce my conversation with Ken Olofsen, CMO of Labelbox, recorded live at the Google Cloud Marketplace Exchange! Labelbox, a longtime Google partner, has revolutionized data labeling for generative AI, providing a “data factory” that powers the most advanced AI models. Ken shares how Labelbox collaborates with Google to support model builders and enterprise teams, including an exciting integration with Vertex AI that allows users to leverage Labelbox's human evaluation services to fine-tune their models effortlessly. In this episode, Ken discusses Labelbox's use of Google Cloud Marketplace as a rapid transaction platform, enabling seamless, scalable partnerships. From simplifying contracts with private and public offers to offering a one-click evaluation solution on Vertex AI, Labelbox is setting the bar high for innovation in data annotation. Tune in to this episode of The Ultimate Guide to Partnering to learn how Labelbox is shaping the future of generative AI through strategic partnerships!

This episode of the Eye on AI podcast is sponsored by JLL. JLL's AI solutions are transforming the real estate landscape, accelerating growth, streamlining operations and unlocking hidden value in properties and portfolios. From predictive analytics to intelligent automation, JLL is creating smarter buildings, more efficient workplaces and sustainable cities. To learn more about JLL and AI, visit: jll.com/AI     In this episode of the *Eye on AI* podcast, we explore the world of AI at Google Cloud with Nenshad Bardoliwalla, Director of Product Management for Vertex AI.   Nenshad unpacks the three core layers of Vertex AI: the Model Garden, where users can access and evaluate a diverse range of models; the Model Builder, which supports model fine-tuning and prompt optimization; and the Agent Builder, designed to develop AI agents that can perform complex, goal-oriented tasks.   He shares insights into model evaluation strategies, the role of Google's Tensor Processing Units (TPUs) in scaling AI infrastructure, and how enterprises can choose the right models based on performance, cost, and regulatory requirements.   Nenshad also delves into the challenges and opportunities of AI prompt optimization, highlighting Google's approach to ensuring consistent outputs across different models. He discusses the ethical considerations in AI design, emphasizing the need for human oversight and clear guardrails to maintain safety.   Whether you're in AI, tech, or curious about AI's potential impact, this episode is packed with insights on next-gen AI deployment.   Don't forget to like, subscribe, and turn on notifications for more episodes!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Nenshad Bardoliwalla & Vertex AI (01:52) Overview of Vertex AI's Three Core Layers (05:35) Nenshad's Journey to Google Cloud (06:36) Choosing the Right AI Model (08:00) Google's AI Infrastructure & Tensor Processing Units (TPUs) (10:15) Model Builder: Fine-Tuning & Prompt Optimization (12:11) Agent Builder: Building AI Agents with Tools & Planning (17:57) Model Evaluation & Prompt Management (21:23) Generative AI for Business Analysts (23:24) AI Model Modality & Use Case Selection (25:23) Popularity Distribution of AI Models (28:18) Prompt Optimization Tools (34:20) Building AI Agents: Real-World Use Cases & Ethical Safeguards (40:13) The Capabilities & Limitations of AI Agents (45:48) TPU vs. GPU (50:33) Future of AI at Google Cloud

Send Everyday AI and Jordan a text messageWanna learn Claude's new agentic AI? Got 30ish minutes? This is the show for you then. In short -- Computer Use is an agentic AI system where you can control a virtual computer just by talking to Claude. Join us as we break it down.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Claude AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Overview of Anthropic Claude2. How to Use Claude Computer Use3. Critiques of Anthropic's Tools4. Future of AI AgentsTimestamps:00:00 AI agents essential in businesses by 2025.04:48 Google developing AI agent 'Jarvis'; competition intensifies.10:01 Using an API key; GitHub shares code.11:22 Docker is a versatile containerization tool for developers.15:36 Claude Sonnet 3.5 limits commands despite plans.17:08 Replace placeholder with copied API key.23:17 Demonstrating computer vision on a virtual desktop.25:33 Claude retained information without website visit.29:31 Experiencing repeated errors toggling between applications.30:49 Visit everydayai.com, list latest 3 episodes.35:10 Word document created with AI episode summaries.37:12 Direct AI with simple code; needs improvement.Keywords:Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Send Everyday AI and Jordan a text messageAI can use computers now? Yup. With Claude 3.5 Sonnet updates, Anthropic's LLM now has access to 'Computer Use.' Is this new mode going to change how we use LLMs? And what else is noteworthy with Claude's new updates in 3.5? We'll go over it all. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on Anthropic ClaudeUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Claude 3.5 Updates2. Computer Use Feature3. API and Pricing4. Model Benchmarks5. Potential for Business ApplicationsTimestamps:02:15 Daily AI news05:10 New updates from Anthropic06:32 Claude excels in human-like writing, lacks connectivity.09:56 Claude 3.5 updates: SONNET new, now labeled.11:36 New computer use excels with unstructured data.14:39 Discuss Anthropic's unique API and pricing strategy.18:13 Claw 3.5 SONNET excels in benchmark comparisons.23:07 Cherry-picking without fair benchmarks undermines credibility.26:33 PPP course improves prompt usage effectively.27:37 Model omitted; operates logically using chain-of-thought.31:17 Anthropic omitted model to avoid poor benchmarks.37:09 Automated research and planning for sunrise viewing.39:40 New tech handles errors; works with unstructured data.43:44 Utilizes screenshots for computer vision, correcting issues.46:02 Using the API quickly exhausts token limits.48:38 Evaluate potential business impact of Anthropic's feature.Keywords:Anthropic, AI technology, programming a virtual computer, future implications for businesses, OpenAI, shipping product in beta, SONNET 35, Haiku 35, AI in future work environments, daily AI newsletter, computer use feature, Robotics Process Automation (RPA), API and Pricing, Claude 3.5 SONNET, benchmarks, community engagement, Jordan Wilson, Claude's natural language interface, Docker, Amazon Bedrock, Google Cloud's Vertex AI, MMLU Benchmark, Coding Benchmark, Math Problem Solving, Chain of Thought Reasoning, Host's Opinion, Prime Prompt Polish Course, Stability AI, Midjourney, Canva Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

En este episodio de ⁠Mundo Data Driven⁠, El Nuevo ADN del C-Level: Los Skills que los líderes necesitan en un Mundo Data Driven, ⁠José Milton Buitrón⁠ entrevista a ⁠José Armando Ordóñez⁠, director de la ⁠maestría de inteligencia artificial de la Universidad ICESI⁠, sobre los cambios fundamentales que han transformado el rol del liderazgo ejecutivo en un entorno cada vez más digital y orientado a los datos. Capacidad de comunicación y visión estratégica en la era Data Driven El episodio profundiza en cómo los ejecutivos de nivel C (C-Level) deben transformar sus habilidades para liderar con éxito en un mundo impulsado por los datos y la inteligencia artificial. José Armando explica que una de las habilidades más importantes que deben desarrollar los líderes es la capacidad de comunicar claramente la visión para la integración de la transformación digital dentro de la estrategia de la empresa. Este aspecto es fundamental para asegurar el alineamiento de todos los niveles de la organización, desde la alta dirección hasta el personal operativo. Habilidades esenciales para los ejecutivos del futuro Otro tema central es el conjunto de habilidades que debe desarrollar un ejecutivo C-Level en la era digital. Estas incluyen desde el liderazgo en la transformación digital hasta la alfabetización en datos y en inteligencia artificial, que son imprescindibles para una toma de decisiones eficiente. La habilidad de entender conceptos como la IA generativa y su potencial, así como herramientas como ⁠DataRobot⁠ y⁠ Vertex AI⁠, se ha vuelto esencial. Herramientas como ⁠H2O.ai⁠ permiten a los líderes mantener el control sobre cada aspecto de sus iniciativas de IA, lo cual es vital en un contexto de rápida adopción tecnológica. Toma de decisiones basadas en datos y desafíos en la implementación de IA José Armando destaca la importancia de la toma de decisiones basada en datos para los C-Level. En un entorno tan competitivo, las decisiones fundamentadas en datos, más que en la intuición, son esenciales para garantizar la supervivencia y el crecimiento de las empresas. También se abordan los desafíos en la implementación de IA, entre ellos la necesidad de contar con una calidad de datos adecuada y la implementación de un gobierno de datos robusto que permita asegurar el éxito de los proyectos de inteligencia artificial. Ética y responsabilidad en el uso de la IA La conversación incluye un análisis sobre la ética y responsabilidad en el uso de IA. José Armando subraya la importancia de entender los límites de la inteligencia artificial y ser conscientes de los riesgos éticos y sociales que pueden derivarse de su aplicación sin una supervisión adecuada. Capacitación y educación para el futuro El episodio concluye explorando cómo está evolucionando la educación y capacitación para los C-Level. En un contexto donde la tecnología cambia rápidamente, la educación continua y el desarrollo de habilidades relevantes se han vuelto fundamentales para la competitividad de los líderes del futuro. Chapters: 00:00 Transformación Digital y el Rol de los Directivos 03:36 Habilidades Esenciales para el C-Level 07:25 Toma de Decisiones Basadas en Datos 11:03 Desafíos en la Implementación de IA 14:28 Ética y Responsabilidad en la IA 18:53 Comunicación y Cambio Organizacional 20:41 El Futuro de la Educación y Capacitación Escucha el ⁠episodio completo⁠ ⁠en tu plataforma de Podcast favorita⁠ para conocer en detalle cómo los líderes del C-Level deben evolucionar para adaptarse y prosperar en un entorno impulsado por los datos. #SkillsCLevel #DataDriven #InteligenciaArtificial #LiderazgoEjecutivo #MundoDataDriven #Podcast #AI #GobiernoDeDatos --- Support this podcast: https://podcasters.spotify.com/pod/show/mundodatadriven/support

Send Everyday AI and Jordan a text messageThe AI revolution is here, transforming classrooms, homes, and how your kids learn and interact with the world. From personalized learning tools to AI-powered homework help, education is changing fast—but are you prepared to guide your kids through this shift? Stephanie Worrell, Founder of AI-MPOWERU, joins us to explain why AI literacy is critical for both parents and kids. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Stephanie questions on AI literacyUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Challenges in AI Education2. Parental Concerns about AI3. Risks and Safety Concerns of AI in Education4. Advice for Parents on AI5. AI Literacy in Higher EducationTimestamps:01:40 Daily AI news05:00 About Stephanie and AI-MPOWERU07:28 Students need AI skills integrated into education.12:53 Using AI enhanced education and job applications.15:29 AI risks: deepfakes, relationships, education, social media.19:21 Collaborative AI learning enhances education but concerns exist.20:26 AI influences social media, affects mental health.24:30 Prepare students for AI-dominated job market.27:30 Integrate generative AI into educational curricula.30:45 Prepare kids for future digital challenges.Keywords:AI and children, Jordan Wilson, Everyday AI, Google Cloud, Vertex AI, NVIDIA AI model, Perplexity, The New York Times, AI copyright concerns, Guest Stephanie Worrell, AI Empower You, AI literacy, Raising AI Smart Kids, AI in education, Parental concerns, Plagiarism in AI, ChatGPT, Internet safety, Risk of AI, Deepfakes, AI and mental health, AI personalization, AI in college, Grammarly, AI transparency, Ethical AI use, Future job landscape, Social media and AI, AI syllabi integration, AI literacy newsletter. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Show Notes: Episode E104 - Anne Gherini - SIERRA Ventures Episode Summary: In this enlightening episode of Female VC Lab, our host Barbara Bickham sits down with Anne Gherini, the CMO at Sierra Ventures, an early-stage VC firm focusing on the future of enterprise. Anne reveals her journey from being an operator to a venture capitalist, the dynamic role she plays in Sierra Ventures, and her investment thesis centered around B2B SaaS. She also shares her insights on the rapid changes in the venture capital world and the significance of go-to-market strategies. Key Topics Discussed: - Anne Gherini's career transition from operator to venture capitalist - Detailed breakdown of Anne's role as a CMO at Sierra Ventures - Sierra Ventures’ investment thesis focused on early-stage B2B SaaS companies - Importance of building a technical moat and go-to-market strategies - Anne’s recommendations on reading and continuously learning about health and longevity Fun Facts: 1. Diverse Portfolio: Sierra Ventures invests almost exclusively in B2B software but has delved into deep tech sectors like quantum computing and Vertex AI. 2. Passion for Optimization: Anne is enthusiastic about optimizing not only businesses and campaigns but also personal health and longevity, inspired by Peter Attia's book "Outlive." 3. Constant Learning: Besides sitting on investment teams and helping build campaigns, Anne enjoys the continuous learning aspect of venture capital, finding excitement in the pace of advancements in technology and startup solutions. Contact Information: - Anne Gherini on LinkedIn - Anne Gherini on Twitter (X): @AnnieG - Sierra Ventures Website Thanks for Listening! Thank you for tuning in to this episode of Female VC Lab. Be sure to subscribe and leave us a review if you enjoyed the episode. Stay tuned for more inspiring stories from female venture capitalists around the world!

In this Episode, Rodrigo Leal, Principal Industry Solutions with MongoDB joins Shane McAllister for an in-depth live stream session on how to revolutionize your retail pricing strategies with MongoDB, and Vertex AI. Discover how these powerful technologies come together to create intelligent, real-time pricing models that adapt to dynamic market conditions and consumer behaviors.

Hitachi, Ltd., and Google Cloud has announced a multi-year partnership to accelerate enterprise innovation and productivity with generative AI. Hitachi will form a new business unit focused on helping businesses solve industry challenges with Gemini models, Vertex AI, and other cloud technologies, and it will also adopt Google Cloud's AI to enhance its own products and services. Through the partnership, Hitachi will further accelerate growth of Lumada, its core digital business, and it will advance operational efficiencies for the Hitachi Group. Led by GlobalLogic, a leader in digital engineering and a subsidiary of the Hitachi Group, the companies will establish the Hitachi Google Cloud Business Unit and the Google Cloud Center of Excellence (CoE) to rapidly scale Google Cloud technology to new and existing enterprise customers. Additionally, Hitachi will collaborate with Google Cloud to incorporate training on Google Cloud's GenAI as part of Hitachi's GenAI Professional training program. The program will deepen the expertise and managed services available through these business units, which will ensure large-scale organisations have access to the resources needed to fundamentally improve how they operate with AI. Additional focus areas of the partnership will include: New GenAI solutions for software modernisation and customer service: Hitachi will use Gemini models to build solutions that help businesses efficiently modernise legacy software systems, and it will adopt Google Cloud Contact Center AI to power more effective and accurate customer service experiences. For instance, using Google Cloud Agent Assist, customer service representatives can be supported with real-time knowledge assistance and resolution suggestions to help them be more productive and provide better service. The new solutions will be compatible with GlobalLogic's Platform of Platforms architecture, which is designed to address the needs of intelligent enterprises. Enabling safe, secure GenAI solutions for on-premises and cloud environments: Hitachi's new solutions will support customers running both on-premises and in the cloud, enabling enterprises to modernise operations while retaining existing IT environments. The solutions will also be compatible with Virtual Storage Platform One,so that users can build GenAI applications using data stored on Hitachi Vantara's hybrid cloud platform. Joint go-to-market initiatives: Hitachi and Google Cloud will better align their sales, marketing, and engineering teams to ensure that customers across industries have access to the resources needed to optimally deploy and manage GenAI projects through Hitachi Google Cloud Business Unit and Google Cloud CoE. This will include the GenAI Professionals that Hitachi trains on Google Cloud technology. Strengthen GenAI talent development: Hitachi's GenAI Professionals play a critical role in supporting customers' transformation with AI, and Hitachi will train more than 50,000 GenAI Professionals through its global training program, As part of the program, Hitachi will include training on Google Cloud's Gen AI solutions and AI technology. GlobalLogic and Google Cloud have collaborated for more than 15 years and helped empower enterprises with solutions that achieve their business objectives with efficiency and scale. "Through this partnership, Hitachi will leverage Google Cloud's AI capabilities to improve and enhance employee productivity and accelerate innovation. By augmenting the capabilities of our developers and customer success units with Google Cloud GenAI solutions, such as Vertex AI and Gemini models, Hitachi will be able to better serve the needs of its customers in diverse industries and across complex domains such as energy, mobility, manufacturing and digital services," said Toshiaki Tokunaga, Executive Vice President and Executive Officer at Hitachi. Nitesh Banga, CEO, Digital Engineering Business Unit, Hitachi, and President & CEO, GlobalLogic, added: "Thr...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Take the wheel, Shoggoth! (Lesswrong is trying out changes to the frontpage algorithm), published by Ruby on April 23, 2024 on LessWrong. For the last month, @RobertM and I have been exploring the possible use of recommender systems on LessWrong. Today we launched our first site-wide experiment in that direction. (In the course of our efforts, we also hit upon a frontpage refactor that we reckon is pretty good: tabs instead of a clutter of different sections. For now, only for logged-in users. Logged-out users see the "Latest" tab, which is the same-as-usual list of posts.) Why algorithmic recommendations? A core value of LessWrong is to be timeless and not news-driven. However, the central algorithm by which attention allocation happens on the site is the Hacker News algorithm[1], which basically only shows you things that were posted recently, and creates a strong incentive for discussion to always be centered around the latest content. This seems very sad to me. When a new user shows up on LessWrong, it seems extremely unlikely that the most important posts for them to read were all written within the last week or two. I do really like the simplicity and predictability of the Hacker News algorithm. More karma means more visibility, older means less visibility. Very simple. When I vote, I basically know the full effect this has on what is shown to other users or to myself. But I think the cost of that simplicity has become too high, especially as older content makes up a larger and larger fraction of the best content on the site, and people have been becoming ever more specialized in the research and articles they publish on the site. So we are experimenting with changing things up. I don't know whether these experiments will ultimately replace the Hacker News algorithm, but as the central attention allocation mechanism on the site, it definitely seems worth trying out and iterating on. We'll be trying out a bunch of things from reinforcement-learning based personalized algorithms, to classical collaborative filtering algorithms to a bunch of handcrafted heuristics that we'll iterate on ourselves. The Concrete Experiment Our first experiment is Recombee, a recommendations SaaS, since spinning up our RL agent pipeline would be a lot of work.We feed it user view and vote history. So far, it seems that it can be really good when it's good, often recommending posts that people are definitely into (and more so than posts in the existing feed). Unfortunately it's not reliable across users for some reason and we've struggled to get it to reliably recommend the most important recent content, which is an important use-case we still want to serve. Our current goal is to produce a recommendations feed that both makes people feel like they're keeping up to date with what's new (something many people care about) and also suggest great reads from across LessWrong's entire archive. The Recommendations tab we just launched has a feed using Recombee recommendations. We're also getting started using Google's Vertex AI offering. A very early test makes it seem possibly better than Recombee. We'll see. (Some people on the team want to try throwing relevant user history and available posts into an LLM and seeing what it recommends, though cost might be prohibitive for now.) Unless you switch to the "Recommendations" tab, nothing changes for you. "Latest" is the default tab and is using the same old HN algorithm that you are used to. I'll feel like we've succeeded when people switch to "Recommended" and tell us that they prefer it. At that point, we might make "Recommended" the default tab. Preventing Bad Outcomes I do think there are ways for recommendations to end up being pretty awful. I think many readers have encountered at least one content recommendation algorithm that isn't givi...

O Hipsters: Fora de Controle é o podcast da Alura com notícias sobre Inteligência Artificial aplicada e todo esse novo mundo no qual estamos começando a engatinhar, e que você vai poder explorar conosco! Nesse episódio conversamos com Anderson Soares sobre os esforços dentro e fora do Brasil para o fomento à evolução responsável da IA. Além disso, comentamos as principais notícias da semana, incluindo os anúncios do Google no evento Cloud Next, a liberação do GPT-4-Turbo, e a investida da Intel nos chips voltados para IA. Vem ver quem participou desse papo: Marcus Mendes, host fora de controle Fabrício Carraro, Program Manager da Alura, autor de IA e host do podcast Dev Sem Fronteiras Sérgio Lopes, CTO da Alura Anderson Soares, coordenador científico do CEIA e representante do Brasil no GPAI

AI agents are the new hot craze in generative AI. Unlike the previous generation of chatbots, these agents can do more than simply answer questions. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on the Food Tech News Show we are joined by Scott Heimendinger, one of the inventors of the home sous vide circulator and a long-time kitchen tech inventor.  Here are the stories we talk about: Apple is working on robots for the home! – From Bloomberg: “The original concept for the robot was a device that could navigate entirely on its own without human intervention — like the car — and serve as a videoconferencing tool. One pie-in-the-sky idea within Apple was having it be able to handle chores, like cleaning dishes in a sink. Google has used its latest AI to create a new tool that creates a fusion recipe between two culinary cultures. Lifehacker: “According to Google,  Food Mood can provide creative inspiration for your next meal. Select two countries and this fusion recipe generator will create one for you. You can choose whether you would like to cook a starter, a soup, a main course or a dessert. For example, why not try a unique blend of flavors from Sri Lanka and Uganda or mixing influences from Oman and Belgium? This experiment was created by artists Emmanuel Durgoni and Gaël Hugo, and uses Gemini 1.0 Pro via Vertex AI.” Whirlpool has let the entire Yummly team go. Appliance giant Whirlpool has laid off its entire Yummly team. According to industry sources, the company recently laid off all the employees for the recipe and cooking app and website. These sources tell the Spoon that it's unclear what the company plans to do with the property it acquired in 2017. Amazon Pulling ‘Just Walk Out' from Amazon Fresh Grocery Stores – According to a story published in The Information, Amazon is planning to pull its Just Walk Out cashierless technology from its large-format grocery store, Amazon Fresh. One Robot Pizza Chain Operator Breaks Down the Cost Each Part of the Pizza-Making Process – For small operators (and big ones as well) in the pizza business, Andrew Simmons's posts on Linkedin have become must-read material. Scott will be at the Smart Kitchen Summit, talking about some of the lessons he's learned building the kitchen of the future. If you are interested in seeing Scott at SKS, you can use the discount code PODCAST for 15% off tickets. 

Today Laura and Gabi are joined by Fisayo Oluwadiya to talk about Resactly, which is an AI powered personalized food recommendation service. We hear about Fisayo's origin story, building AI models with Vertex AI, the different stages of AI algorithms, her plans for the future (continue on for world domination or sell?), Chef Kwame Onwuachi and Dogon in DC and much more! Fisayo Oluwadiya is a full-stack, results-oriented and driven principal software engineer with a proven track record over a 15+ year career. She is a passionate and energetic, highly organized and a highly skilled problem-solver with a background working in many different kinds of business such as JP Morgan Chase, Major League Baseball, Nordstrom and the Walt Disney Company. The concept of Resactly is simple - "What if there was a way to find restaurants that were a perfect match for individual tastes?" Resactly's advanced AI/ML platform delves deep into your unique taste profile, preferences, and dietary needs to curate a list of restaurants tailored just for you. No more endless searching or disappointing meals. With Resactly, every dining experience is transformed into a memorable culinary journey. Check out Resactly for a gastronomic adventure and discover eateries that truly speak to your soul.

Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence. This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/), and by Intel and HPE Ezmeral Software Solutions (https://hpe.com/ezmeral/chatbots). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • Google's Gemini model family and Lisa's key responsibilities [04:55] • How LLMs will transform the practice of Data Science [19:47] • Lisa on prompt engineering and reinforcement learning from human feedback [24:38] • How to fine-tune Gemini models with Google's Vertex AI [30:52] • How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14] • The challenges of developing a data-centric culture [57:31] • Centralized vs decentralized data science teams [1:03:50] Additional materials: www.superdatascience.com/761

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The One and a Half Gemini, published by Zvi on February 22, 2024 on LessWrong. Previously: I hit send on The Third Gemini, and within half an hour DeepMind announced Gemini 1.5. So this covers Gemini 1.5. One million tokens, and we are promised overall Gemini Advanced or GPT-4 levels of performance on Gemini Pro levels of compute. This post does not cover the issues with Gemini's image generation, and what it is and is not willing to generate. I am on top of that situation and will get to it soon. One Million Tokens Our teams continue pushing the frontiers of our latest models with safety at the core. They are making rapid progress. In fact, we're ready to introduce the next generation: Gemini 1.5. It shows dramatic improvements across a number of dimensions and 1.5 Pro achieves comparable quality to 1.0 Ultra, while using less compute. It is truly bizarre to launch Gemini Advanced as a paid service, and then about a week later announce the new Gemini Pro 1.5 is now about as good as Gemini Advanced. Yes, actually, I do feel the acceleration, hot damn. And that's not all! This new generation also delivers a breakthrough in long-context understanding. We've been able to significantly increase the amount of information our models can process - running up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model yet. One million is a lot of tokens. That covers every individual document I have ever asked an LLM to examine. That is enough to cover my entire set of AI columns for the entire year, in case I ever need to look something up, presumably Google's NotebookLM is The Way to do that. A potential future 10 million would be even more. Soon Gemini will be able to watch a one hour video or read 700k words, whereas right now if I use the web interface of Gemini Advanced interface all I can upload is a photo. The standard will be to give people 128k tokens to start, then you can pay for more than that. A million tokens is not cheap inference, even for Google. Oriol Vinyals (VP of R&D DeepMind): Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there's this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 10M tokens for text. From Shannon's 1950s bi-gram models (2 tokens), and after being mesmerized by LSTMs many years ago able to model 200 tokens, it feels almost impossible that I would be talking about hundreds of thousands of tokens in context length, let alone millions. Jeff Dean (Chief Scientist, Google DeepMind): Multineedle in haystack test: We also created a generalized version of the needle in a haystack test, where the model must retrieve 100 different needles hidden in the context window. For this, we see that Gemini 1.5 Pro's performance is above that of GPT-4 Turbo at small context lengths and remains relatively steady across the entire 1M context window, while the GPT-4 Turbo model drops off more quickly (and cannot go past 128k tokens). Guido Appenzeller (responding to similar post): Is this really done with a monolithic model? For a 10M token window, input state would be many Gigabytes. Seems crazy expensive to run on today's hardware. Sholto Douglas (DeepMind): It would honestly have been difficult to do at decent latency without TPUs (and their interconnect) They're an under appreciated but critical piece of this story Here are their head-to-head results with themselves: Here is the technical report. There is no need to read it, all of this is straightforward. Their safety section says 'we followed our procedure' and offers no additional details on methodology. On safety performance, their tests did not seem to offer much insight, scores were similar to Gemini Pro 1.0. Mixture...

Snap is under investigation in the UK over possible privacy risks with Snapchat My AI chatbot, chip makers Samsung and SK Hynix able to supply US chip equipment to their China-based factories, and Google’s Vertex AI aims to help doctors with patient histories and billing. MP3 Please SUBSCRIBE HERE. You can get an ad-free feedContinue reading "Snap’s My AI under investigation in UK – DTH"

On the Brief, NLW looks at new reports that OpenAI is clearing $80,000,000 a month, even before the launch of ChatGPT Enterprise. Also on the Brief Snapchat Dreams is live; an AI-powered defense system around D.C. and more. On the main episode, NLW looks at all the announcements from Google Cloud Next including Vertex AI, Duet AI and an updated partnership with Nvidia. ABOUT THE AI BREAKDOWN The AI Breakdown helps you understand the most important news and discussions in AI.  Subscribe to The AI Breakdown newsletter: https://theaibreakdown.beehiiv.com/subscribe Subscribe to The AI Breakdown on YouTube: https://www.youtube.com/@TheAIBreakdown Join the community: bit.ly/aibreakdown Learn more: http://breakdown.network/