Podcasts about open source ai

Nathan's work at AI2—and his p(doom) ... What does “open source AI” mean? ... How Nathan taught a Llama new tricks ... Pros and cons of open sourcing AI ... Nathan's ATOM Project to boost American open models ... What's behind OpenAI's open source play? ... Geoffrey Hinton's case against open models ... Is the US-China open model rivalry really zero-sum? ... Heading to Overtime ...

Nathan's work at AI2—and his p(doom) ... What does “open source AI” mean? ... How Nathan taught a Llama new tricks ... Pros and cons of open sourcing AI ... Nathan's ATOM Project to boost American open models ... What's behind OpenAI's open source play? ... Geoffrey Hinton's case against open models ... Is the US-China open model rivalry really zero-sum? ... Heading to Overtime ...

Multi-agent AI systems are moving from theory to enterprise reality, and in this episode, Babak Hodjat, CTO of AI at Cognizant, explains why he believes they represent the future of business. Speaking from his AI R&D lab in San Francisco, Babak outlines how his team is both deploying these systems inside Cognizant and helping clients build their own, breaking down organisational silos, coordinating processes, and improving decision-making. We discuss how the arrival of optimized, open-source models like DeepSeek is accelerating AI democratization, making it viable to run capable agents on far smaller infrastructure. Babak explains why this is not a “Sputnik moment” for AI, but a powerful industry correction that opens the door for more granular, cost-effective agents. This shift is enabling richer, more scalable multi-agent networks, with agents that can not only perform autonomous tasks but also communicate and collaborate with each other. Babak also introduces Cognizant's open-sourced Neuro-AI Network platform, designed to be model and cloud agnostic while supporting large-scale coordination between agents. By separating the opaque AI model from the fully controllable code layer, the platform builds in safeguards for trust, data handling, and access control, addressing one of the most pressing challenges in AI adoption. Looking ahead, Babak predicts rapid growth in multi-agent ecosystems, including inter-company agent communication and even self-evolving agent networks. He also stresses the importance of open-source collaboration in AI's next chapter, warning that closed, proprietary approaches risk slowing innovation and eroding trust. This is a deep yet accessible conversation for anyone curious about how enterprise AI is evolving from single, monolithic models to flexible, distributed systems that can adapt and scale. You can learn more about Cognizant's AI work at cognizant.com and follow Babak's insights on LinkedIn.

Co-hosts Mark Thompson and Steve Little explore the groundbreaking release of ChatGPT-5, which arrived after over a year of anticipation. They discuss how this new model transforms the AI landscape with better reasoning, larger context windows, and dramatically reduced hallucinations.The hosts examine OpenAI's new Study and Learn Mode, which acts as a personal tutor rather than just providing answers, making it ideal for genealogists who want to deepen their understanding of their favourite topic.This week's Tip of the Week cautions beginners about challenging AI tasks like handwritten transcriptions and structured files, recommending they master the basics first.In RapidFire, they cover OpenAI's first open-source release since 2019, NotebookLM's video capabilities, and impressive AI company earnings reports.Timestamps:In the News:00:55 ChatGPT-5 Has Arrived: Improved Features (mostly) for Genealogists16:29 OpenAI's Study and Learn Mode: Your Personal Genealogy Tutor23:40 Claude Releases Opus 4.1: Enhanced Reasoning and WritingTip of the Week:29:25 AI Tasks for Beginners to Be Cautious OfRapidFire:40:16 OpenAI Releases First Open Source Model Since 201948:33 NotebookLM Upgrade Adds Video Support53:34 AI Companies Report Record EarningsResource LinksIntroduction to Family History AIhttps://tixoom.app/fhaishow/OpenAI GPT-5 Model Cardhttps://openai.com/index/gpt-5-system-card/Introducing study modehttps://openai.com/index/chatgpt-study-mode/ChatGPT Study Mode - FAQhttps://help.openai.com/en/articles/11780217-chatgpt-study-mode-faqClaude Opus 4.1https://www.anthropic.com/news/claude-opus-4-1OpenAI announces two "gpt-oss" open AI modelshttps://arstechnica.com/ai/2025/08/openai-releases-its-first-open-source-models-since-2019/Google's NotebookLM rolls out Video Overviewshttps://techcrunch.com/2025/07/29/googles-notebooklm-rolls-out-video-overviews/Tech bubble going pop: AI pays the price for inflated expectationshttps://www.theguardian.com/commentisfree/article/2024/aug/07/the-guardian-view-on-a-tech-bubble-going-pop-ai-pays-the-price-for-inflated-expectationsIs The AI Bubble About To Burst?https://www.forbes.com/sites/bernardmarr/2024/08/07/is-the-ai-bubble-about-to-burst/Google loses appeal in antitrust battle with Fortnite makerhttps://masslawyersweekly.com/2025/08/06/google-play-monopoly-verdict-epic-games-win/Department of Justice Prevails in Landmark Antitrust Case Against Googlehttps://www.justice.gov/opa/pr/department-justice-prevails-landmark-antitrust-case-against-googleTagsArtificial Intelligence, Technology, Genealogy, Family History, OpenAI, ChatGPT-5, Claude, Large Language Models, AI Learning Tools, Study Mode, Open Source AI, NotebookLM, Video Overviews, AI Reasoning, Context Windows, Hallucination Reduction, GEDCOM Files, Handwritten Transcription, Document Analysis, AI Earnings, Google Antitrust, Apache License, Local AI Processing, Privacy, AI Education, Tutoring Systems, Coding Capabilities, Multilingual Processing, AI Development, Family History Research, Genealogists, AI Tools, Machine Learning

- Discovery of Secret Room in FBI Building (0:11) - Criticism of FBI and Intelligence Agencies (1:24) - Challenges with Burn Bags and Document Destruction (2:48) - Lack of Arrests and Legal Challenges (5:26) - Summary of Document Findings (9:25) - Trump Administration's Legal Strategy (11:54) - Hopes for Mass Arrests (15:08) - Challenges with Power Grid and AI Data Centers (25:17) - Impact of Tariffs on Transformer Supply (46:48) - Future of Energy and Decentralized Solutions (1:09:21) - Introduction of Enoch AI Engine (1:15:24) - Challenges with AI Data and Personal Experiences (1:25:51) - Development and Performance of the AI Engine (1:28:19) - Decentralization and Open-Source AI (1:30:34) - Training Data and AI Capabilities (1:33:59) - Prompt Engineering and AI Applications (1:40:28) - Challenges and Future of AI Development (1:55:27) - Censorship and Regulatory Concerns (1:57:29) - Global AI Competition and Technological Advancements (2:06:23) - Economic and Political Implications of AI (2:18:04) - Geopolitical Shifts and Centralized Power (2:25:24) - Demoralization and Betrayal of American Dream (2:39:28) - Apocalypse Accelerationism and Christian Zionism (2:42:43) - Critique of Religious Institutions and Their Teachings (2:46:44) - Historical Context and Modern Implications (2:49:42) - Cults and Their Influence on Global Events (2:52:32) - The Role of Media and Education in Shaping Perceptions (2:55:27) - The Impact of Religious Supremacy on Global Conflict (3:12:55) - The Role of Individual Actions in Promoting Peace (3:19:24) - The Future of Global Peace and Understanding (3:21:06) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

This is a free preview of a paid episode. To hear more, visit sub.thursdai.newsWoohoo, we're almost done with July (my favorite month) and the Open Source AI decided to go out with some fireworks

video: https://youtu.be/abgTchtrH0k On this episode of Destination Linux, we are joined by security expert Craig Rowland returns for the “Sandfly Security Scoop,” explaining how the stealthy BPFdoor back‑door evades firewalls and sharing tips for DEF CON and Black Hat attendees. We also unpack listener feedback about phone‑addiction myths and mindful smartphone use. Then we discuss Moonshot's open‑source Kimi AI model that tackles two‑million‑character prompts and beats proprietary LLM benchmarks, sparking a wider chat about open AI guardrails and Linux's role under the hood. Later, there's some bittersweet news that Intel is discontinuing its performance‑tuned Clear Linux distro, prompting nostalgia and debate over rolling vs. hybrid releases. Our tip of the week highlights a crowd‑sourced Linux guide that demystifies getting started with Ubuntu especially for network engineers. Forum Discussion Thread (https://destinationlinux.net/forum) Download as MP3 (https://aphid.fireside.fm/d/1437767933/32f28071-0b08-4ea1-afcc-37af75bd83d6/17fb8c1f-d90d-4b20-ae21-255561ec5c8b.mp3) Support the show by becoming a patron at tuxdigital.com/membership (https://tuxdigital.com/membership) or get some swag at tuxdigital.com/store (https://tuxdigital.com/store) Hosted by: Ryan (DasGeek) = dasgeek.net (https://dasgeek.net) Jill Bryant = jilllinuxgirl.com (https://jilllinuxgirl.com) Michael Tunnell = michaeltunnell.com (https://michaeltunnell.com) Chapters: 00:00:00 Intro 00:02:18 Community Feedback 00:10:20 Sandfly Security Scoop 00:23:15 Defcon VS Blackhat 00:29:31 OpenSource AI Kimi 00:47:38 Clear Linux OS & Intel's future 01:03:49 Community Tip and Trick 01:09:13 Support the Show 01:12:43 Outro 01:13:07 Post Show Links: Community Feedback https://destinationlinux.net/comments (https://destinationlinux.net/comments) https://destinationlinux.net/forum (https://destinationlinux.net/forum) Sandfly Security Scoop https://destinationlinux.net/sandfly (https://destinationlinux.net/sandfly) https://sandflysecurity.com/blog/sandfly-5-5-ai-powered-analysis-advanced-bpfdoor-detection-and-smarter-scanning (https://sandflysecurity.com/blog/sandfly-5-5-ai-powered-analysis-advanced-bpfdoor-detection-and-smarter-scanning) Defcon VS Blackhat https://defcon.org/ (https://defcon.org/) https://www.blackhat.com/ (https://www.blackhat.com/) OpenSource AI Kimi https://www.kimi.com/ (https://www.kimi.com/) https://huggingface.co/spaces/Jhawley/moonshotai-Kimi-K2-Instruct (https://huggingface.co/spaces/Jhawley/moonshotai-Kimi-K2-Instruct) Clear Linux OS & Intel's future https://community.clearlinux.org/t/all-good-things-come-to-an-end-shutting-down-clear-linux-os/10716 (https://community.clearlinux.org/t/all-good-things-come-to-an-end-shutting-down-clear-linux-os/10716) https://news.itsfoss.com/clear-linux-os-discontinued/ (https://news.itsfoss.com/clear-linux-os-discontinued/) https://www.omglinux.com/intel-clear-linux-os-discontinued-2025/ (https://www.omglinux.com/intel-clear-linux-os-discontinued-2025/) Community Tip and Trick https://rikosintie.github.io/Ubuntu4NetworkEngineers/CH02-Install-Tools/ (https://rikosintie.github.io/Ubuntu4NetworkEngineers/CH02-Install-Tools/) Support the Show https://tuxdigital.com/membership (https://tuxdigital.com/membership) https://store.tuxdigital.com/ (https://store.tuxdigital.com/)

Singapore shares rose today as Asian markets traded mixed. The Straits Times Index was up 0.23% at 4,129.29 points at 1.08pm Singapore time, with a value turnover of S$700.73M seen in the broader market. In terms of counters to watch, we have Singapore Airlines. The group’s operating results released yesterday showed the national carrier and its low-cost arm Scoot reported a 4.5 per cent year-on-year increase in passenger traffic in June. Elsewhere, from a trade deal reached between Indonesia and the US, to Nvidia CEO Jensen Huang calling China’s open-source artificial intelligence a “catalyst for global progress” as he addressed an expo in Beijing – more international and corporate headlines remain in focus. On Market View, Money Matters’ finance presenter Chua Tian Tian unpacked the developments with Too Jun Cheong, Dealing Manager from Moomoo Singapore.See omnystudio.com/listener for privacy information.

What if the future of journalism isn't locked behind the paywalls of big tech companies, but freely available to every newsroom willing to embrace it?Too often, the conversation around AI in newsrooms centers on big tech, like OpenAI's ChatGPT or Google's Gemini. These are powerful tools, no doubt but they come with caveats: mainly cost, limited transparency, and little to no control over where your data ends up.But there's another world of AI rapidly evolving in parallel and it might be journalism's best path forward: open-source AI.In this episode of Newsroom Robots, host Nikita Roy reconnects with returning guest Florent Daudens, now the Press Lead at Hugging Face, one of the leading platforms powering open source AI. Formerly a newsroom leader driving AI integration at Canada's Radio-Canada, Florent now sits at the heart of the open source AI movement.Key topics include:Why open source AI matters for journalism and how it compares to proprietary modelsThe rise of AI agents and what they mean for editorial control and user experienceHow compressed, privacy-first models running on laptops and phones could change the gameThe environmental cost of AI and how newsrooms can make more sustainable tech choicesWhat news apps might look like in an agent-powered futureHow newsrooms can start experimenting with open source AI (no dev team required)Plus, Florent shares 20 must-know open source AI tools for journalists, explains how writing is building in the age of AI, and discusses why owning the experience, not just the content, will be key to journalism's survivalSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   In this episode, GitHub CEO Thomas Dohmke joins us for a deep dive into the evolution of software development — from decentralized version control to the rise of AI coding agents. With over 150 million developers on GitHub and tools like Copilot rewriting the rules of software engineering, we explore what it really means to build in an AI-native future.   Thomas shares the origin story of Copilot, how GitHub is shifting from human-to-human to human-to-agent collaboration, and why he believes natural language is becoming the universal programming language. We also cover the technical architecture behind Coding Agents, the feedback loop between developers and AI, and what it takes to scale multi-agent systems in the real world.   Like and subscribe for more!     Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) The Future of AI-Powered Coding (02:04) Thomas Dohmke's Journey (05:16) GitHub's Origin Story & Evolution (08:45) Life Before GitHub: Early Version Control Systems (10:40) What is Git? And Why GitHub Matters (12:36) The Birth of GitHub Copilot (16:17) The Rise of AI Agents (17:52) How Kids Are Learning to Code with Copilot (22:38) Can Non-Coders Use Copilot Agents Effectively? (26:01) What the Coding Agent Actually Does Behind the Scenes (31:30) The Models Behind GitHub Copilot & Developer Choice (35:22) How Much Code Is Now Written by AI? (38:51) GitHub's Innovation Strategy (41:54) What's Next for GitHub (45:24) From 150M to 1B Developers: Empowering the World to Build (47:51) GitHub Universe & Galaxy Events (49:53) GitHub's Innovation Graph and the Power of Open Collaboration

Jim Love hosts Krish Banerjee, Canadian Managing Director at Accenture for AI and Data, in a discussion that spans the rapid evolution of AI, enterprise adoption, and the interplay between data and innovation. They tackle the transformation of industry practices, the growing role of AI in everyday life, and the significance of responsible AI development. Krish emphasizes the need for focusing on tangible value and the transformation of existing processes through AI, while touching on the future implications for Canada's digital sovereignty and productivity advances. 00:00 Introduction and Guest Welcome 01:06 AI Evolution and Market Shifts 02:31 Data's Crucial Role in AI 04:53 Enterprise AI: Challenges and Opportunities 13:28 Global AI Landscape and Canada's Position 24:10 Innovative AI Projects and Passionate Pursuits 25:59 Reinventing Healthcare with AI 26:52 Commercializing AI for Canadian Businesses 28:41 The Responsibility of AI Development 29:13 Economic Impact and Future Predictions of AI 33:42 Agentic AI: The Next Frontier 39:24 Democratization and Open Source AI 41:34 Advice for Executives on AI Adoption 45:23 Encouraging AI Learning in the Next Generation 47:20 Final Thoughts and Future Conversations

In this episode of Cybersecurity Today, host Jim Love engages in a comprehensive conversation with Krish Banerjee, the Canada Managing Director at Accenture for AI and Data. They delve into the stark difference between perceived and actual preparedness for cybersecurity in the face of growing AI adoption. The discussion spans topics such as the role of AI in enterprise productivity, the need for better data management, and the integration of AI into various business functions. They also explore the importance of digital sovereignty, the challenges and opportunities in Canada's adoption of AI, and how open-source AI can benefit organizations. Krish emphasizes the significance of setting a clear value-driven goal, having the right tools and talent, and the necessity of adopting AI responsibly. The conversation wraps up with insights on how executives can navigate the AI landscape and prepare their organizations for future advancements. 00:00 Introduction to Cybersecurity and AI Concerns 02:10 Interview with Krish Banerjee: AI in Canada 03:17 The Evolution and Impact of AI 06:42 Enterprise AI: Challenges and Opportunities 15:20 Digital Sovereignty and National AI Strategies 25:07 Accelerating Technological Adoption 26:18 Dream Projects in AI 27:49 AI for Healthcare and Commercialization 31:02 The Future of AI and Economic Impact 35:31 Agentic AI: The Next Frontier 41:14 Open Source AI and Democratization 43:23 Advice for Executives and Parents 49:10 Conclusion and Final Thoughts

In this episode of Cybersecurity Today, host Jim Love is joined by Krish Banerjee, the Canada Managing Director at Accenture for AI and Data. They begin the discussion with a report from Accenture that highlights the gap between the perceived and actual preparedness for cybersecurity as AI becomes more integrated into business operations. Jim and Krish discuss the pressing need for businesses to implement AI responsibly while addressing cybersecurity concerns. They also touch upon the current state of AI in Canada, efforts towards digital sovereignty, and the importance of integrating AI thoughtfully into various sectors. Through their insightful conversation, they explore the challenges and opportunities that lie ahead in making AI a cornerstone of productivity and innovation in the enterprise, emphasizing the need for value-driven strategies, the right tools, and skilled talent. 00:00 Introduction and Overview 02:10 AI in the Enterprise: Challenges and Opportunities 03:17 The Evolution of Data and AI 06:42 Enterprise AI: Current State and Future Prospects 15:20 Digital Sovereignty and National AI Strategies 25:07 Accelerating Technological Advancements 26:18 Dream Projects and AI for Good 27:58 Reinventing Healthcare with AI 28:42 Commercializing AI for Canadian Businesses 30:30 The Responsibility of AI Development 31:02 Economic Shifts and AI's Role 31:57 Future Predictions for AI 35:31 Agentic AI: The Next Frontier 41:14 Open Source AI and Its Implications 43:32 Advice for Executives on AI Adoption 47:13 Encouraging AI Learning in the Next Generation 49:10 Final Thoughts and Reflections

The episode opens with an in-depth discussion about the value of open source as a model of development and how the definitional contours of open-source AI differ from those of traditional open-source software. The discussion also explores the characteristics and challenges that distinguish open-source AI models from conventional software development approaches.The discussion goes on to address recent strategic shifts in the AI industry towards more open development, sparked by developments like DeepSeek's open-source R1 model and leaked internal assessments suggesting that open-source communities may be outpacing tech giants.The discussion also explores the complex trade-offs between open and closed AI development. While open-source models offer transparency, democratization, and innovation benefits, they also present cybersecurity vulnerabilities and potential national security risks. Nadh addresses concerns about jailbreaking vulnerabilities in open models, using DeepSeek's recent security lapses as an example, while also examining the limitations and risks of closed proprietary systems.Nadh also provides his perspective on India-specific considerations, including the government's IndiaAI Mission and the decision to develop a homegrown large language model, and discuss the strategic implications of India's approach, which is not expected to be open-source at first, and the potential for India to make meaningful progress in driving open-source AI development as a matter of policy. Episode Contributors Kailash Nadh is the chief technology officer of Zerodha, India's leading stock brokerage platform, where he has led its technology and product stack development since 2013. He is also the co-founder and director of FOSS United, a non-profit foundation based in Bangalore, that aims to provide grassroot support to free and open-source software projects and communities in India. In addition to being a full-stack software developer with more than two decades of technical experience, Nath holds a PhD in artificial intelligence and computational linguistics. His most recent writings also provide a compelling analysis of open-source software developments and AI breakthroughs, including in the Indian context. Shruti Mittal is a research analyst at Carnegie India. Her current research interests include artificial intelligence, semiconductors, compute, and data governance. She is also interested in studying the potential socio-economic value that open development and diffusion of technologies can create in the Global South. Every two weeks, Interpreting India brings you diverse voices from India and around the world to explore the critical questions shaping the nation's future. We delve into how technology, the economy, and foreign policy intertwine to influence India's relationship with the global stage.As a Carnegie India production, hosted by Carnegie scholars, Interpreting India, a Carnegie India production, provides insightful perspectives and cutting-edge by tackling the defining questions that chart India's course through the next decade.Stay tuned for thought-provoking discussions, expert insights, and a deeper understanding of India's place in the world.Don't forget to subscribe, share, and leave a review to join the conversation and be part of Interpreting India's journey.

  In this episode of hashtag Trending, host Jim Love covers several significant tech developments. A new Linux Foundation study has found that 89% of companies using AI are adopting open-source models, with smaller businesses leading the trend due to cost benefits. Google's recent major outage, caused by an invalid automated quota update, highlights vulnerabilities in cloud concentration risk. SpaceX's Starlink-to-phone service is set to launch, offering text capabilities in remote areas, though it comes at a premium cost. Lastly, the transition to renewable energy faces a bottleneck due to a shortage of high-voltage cables required to connect renewable sources to the power grid. These cables are crucial but complex to manufacture, posing a significant challenge to global clean energy goals. 00:00 Introduction and Host Welcome 00:19 Open Source AI Adoption 03:32 Google's Major Outage Explained 07:02 Starlink Satellite to Phone Service 09:14 Challenges in Renewable Energy Transition 12:54 Conclusion and Call for Support

Is open source winning the AI race? In episode 58 of Mixture of Experts, host Tim Hwang is joined by Anthony Annunziata, Ash Minhas and Sarah Amos live from New York Tech Week. First, we dive into the various themes coming out of NY Tech Week, specifically practical uses of AI. Next, we analyze a couple of different reports about the impact of open source on AI. Finally, Claude 4 has some really weird behaviors. What does this teach us about AI safety and model development? All that and more on this week's Mixture of Experts. 00:01 -- Intro 01:09 -- New York Tech Week 2025 11:36 -- Open source AI reports 31:33 -- Weird behaviors from Claude 4 The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Thomas Payet talks about enhancing search experiences with AI-driven features and building a sustainable open source business. Thomas is the co-founder and COO of Meilisearch, an open-source search engine. Listen for three action items you can use today. Host, Kevin Craine Want to be a guest? https://DigitalTransformationPodcast.net/guest Do you want to be a sponsor? https://www.digitaltransformationpodcast.net/sponsor

In this episode, we hear from Melissa McKay, Head of Developer Relations, who discusses her involvement in open source communities, especially Jenkins and OPEA. She highlights the significance of AI in today's technology landscape, touching on its increasing prevalence and integration into various processes. The discussion also covers the challenges and opportunities AI brings, including security concerns and the need for standardization through projects like the Open Platform for Enterprise AI (OPEA). Melissa provides insights into learning and adapting to new technological trends, emphasizing the importance of having a safe environment for experimentation and continuous learning.   00:00 Introduction and Welcome 02:39 Involvement with Jenkins and Community Support 03:58 AI and Its Growing Impact 07:52 Challenges and Security in AI 09:24 Adapting to New Technologies 21:06 Encouragement for Community Involvement   Guest:   Melissa McKay is passionate about Java, DevOps and Continuous Delivery. She is currently Head of Developer Relations for JFrog and a member of the Technical Steering Committee of the Open Platform for Enterprise AI (OPEA). Melissa has been recognized as a Java Champion and a Docker Captain, is an international speaker, and is co-author of the O'Reilly title, DevOps Tools for Java Developers.

Build and run your AI apps and agents at scale with Azure. Orchestrate multi-agent apps and high-scale inference solutions using open-source and proprietary models, no infrastructure management needed. With Azure, connect frameworks like Semantic Kernel to models from DeepSeek, Llama, OpenAI's GPT-4o, and Sora, without provisioning GPUs or writing complex scheduling logic. Just submit your prompt and assets, and the models do the rest. Using Azure's Model as a Service, access cutting-edge models, including brand-new releases like DeepSeek R1 and Sora, as managed APIs with autoscaling and built-in security. Whether you're handling bursts of demand, fine-tuning models, or provisioning compute, Azure provides the capacity, efficiency, and flexibility you need. With industry-leading AI silicon, including H100s, GB200s, and advanced cooling, your solutions can run with the same power and scale behind ChatGPT. Mark Russinovich, Azure CTO, Deputy CISO, and Microsoft Technical Fellow, joins Jeremy Chapman to share how Azure's latest AI advancements and orchestration capabilities unlock new possibilities for developers. ► QUICK LINKS: 00:00 - Build and run AI apps and agents in Azure 00:26 - Narrated video generation example with multi-agentic, multi-model app 03:17 - Model as a Service in Azure 04:02 - Scale and performance 04:55 - Enterprise grade security 05:17 - Latest AI silicon available on Azure 06:29 - Inference at scale 07:27 - Everyday AI and agentic solutions 08:36 - Provisioned Throughput 10:55 - Fractional GPU Allocation 12:13 - What's next for Azure? 12:44 - Wrap up ► Link References For more information, check out https://aka.ms/AzureAI ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Welcome to Limitless. Today we're joined by Luke Drago and Rudolf, authors of the powerful essay series "The Intelligence Curse." Together, we explore a future where artificial general intelligence (AGI) threatens to upend the economic and social contracts that underpin modern civilization. Will AI empower us or make us obsolete? We unpack how labor-replacing AI could dismantle the very incentives that once gave rise to liberal democracies, social mobility, and human-centered innovation—and what it might take to build a future worth living in. ------

Fresh off Red Hat Summit, Chris is eyeing an exit from NixOS. What's luring him back to the mainstream? Our highlights, and the signal from the noise from open source's biggest event of the year.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Support LINUX UnpluggedLinks:

In Episode 6 The Bitcoin Policy Hour, the Bitcoin Policy Institute team unpacks the emerging “Riyadh Accord,” a sweeping geopolitical realignment where the United States, Saudi Arabia, and other Gulf nations are bundling AI, Bitcoin, and techno-industrial leverage into a new framework of global influence.As Blackwell chips begin to replace F-35s as diplomatic bargaining tools, and sovereign wealth funds quietly accumulate Bitcoin, Riyadh is fast becoming the epicenter of digital energy, intelligence infrastructure, and monetary power. The conversation explores how U.S. foreign policy is shifting from military entanglements toward high-tech trade agreements and capital co-investments — with AI and Bitcoin at the core.PLUS, they explore the recent slew of BTC treasury companies amping up activity and how they fit into the picture of jurisdictional and memetic arbitrage.Chapters:00:00 - Introduction01:45 - What Is the “Riyadh Accord”?07:30 - Blackwell Chips Replace F-35s in Middle East Bargains13:30 - AGI Infrastructure: Will the AI Run Happen in Riyadh?17:00 - A New Multipolar World Centered on Energy and Compute21:00 - Samourai Wallet, Legal Overreach, and Bitcoin's Core Ethos26:30 - Policy Hypocrisy: Bitcoin Freedom vs. Surveillance State31:00 - AI Feudalism and the Fight for Decentralized Money36:00 - The Open Source AI vs. Corporate Subscription Future41:00 - Bearer Assets: Bitcoin, GPUs, and Energy as Sovereign Tools46:00 - Global Reflexivity and Bitcoin Treasury Companies51:00 - Metaplanet, Nakamoto, and the Meme Wrapped in Arbitrage56:00 - Bitcoin's Geopolitical Moment: What Comes Next?01:01:00 - Closing Thoughts: Bitcoin Banks, Policy Risks, and Meme Economics⭐ Join top policymakers, technologists, and Bitcoin industry leaders at the 2025 Bitcoin Policy Summit, June 25–26 in Washington, D.C.

ABOUT ANUSH ELANGOVANAnush Elangovan leads the Artificial Intelligence Group (AIG) as Corporate Vice President of AI software and solutions.Anush has 23 years of industry experience in AI, computer science, compilers, network security, operating systems, math, and its materialization on complex hardware systems. This co-founder and Chief Executive Officer of Nod.ai oversaw product strategy and the overall business until AMD acquired Nod.ai (see related article here) today.Anush will lead the acceleration of deploying AI solutions optimized for AMD products while aligning with AMD's AI growth strategy centered on an open software ecosystem. In the near term, he and his team will introduce the code generation (CodeGen) capabilities from the Nod.ai flagship software, Shark, to unlock customer engagements via the ROCm™ and Vitis™ AI platforms. Over time, Anush will lead the contributions of the Nod.ai team to the AMD Unified AI Stack.Before starting Nod.ai, Anush was instrumental in the graphics stack on the first ARM Chromebook. He led the movement of the Chrome operating system from Debian to Gentoo Linux to enable Google to gain full control of the shipping software. Previously, he was Principal Engineer for Agnilux, which Google acquired. The Agnilux team became crucial to the Chrome OS team, building a fusion of Android and Chrome OS.Previously, Anush was a technical lead at Cisco Systems in its Datacenter Group, creating the first distributed virtual switching platform. He has also been an early member of FireEye, where he led in-memory taint-check analysis for networking and security in virtualized environments. He started his career in an earlier stint at Cisco, contributing to metro Ethernet initiatives.Anush holds a Master of Science in computer science from Arizona State University and a Bachelor of Engineering in computer science from the Mepco Schlenk Engineering College at Madurai Kamaraj University in India. He has earned 10 patents. In his spare time, he enjoys skiing, mountaineering, and trail running. Anush lives with his family, including three children and two dogs, in the East Bay of the San Francisco Bay Area.This episode is brought to you by Side – delivering award-winning QA, localization, player support, and tech services for the world's leading games and technology brands.For over 30 years, Side has helped create unforgettable user experiences—from indies to AAA blockbusters like Silent Hill 2 and Baldur's Gate 3.Learn more about Side's global solutions at side.inc. SHOW NOTES:AMD's AI hardware + software strategy, explained (2:24)From startup founder to leading AI software at AMD (3:50)How AMD is unifying hardware through a shared AI stack (6:01)What the VP of AI Software @ AMD owns across software & customer enablement (7:17)AMD's daily standup and real-time prioritization rituals (10:32)Strategies for building a unified AI ecosystem from first principles (13:06)How to approach building for complex technical workflows (15:38)Navigating hardware ecosystem requirements & aligning AI software (17:48)Challenging legacy software assumptions & why AI requires a new mindset for software development (19:38)AMD's integration of community contributors into product cycles (21:21)AMD's approach to cultivating an open-source ecosystem & community experience (22:48)Open-source & AMD's ecosystem strategy: Building trust by building in public (26:57)How AMD collects and acts on user feedback fast within a community ecosystem (29:24)AI's impact on everyday human experiences (32:15)Rapid fire questions (34:50) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Key themes include legislative efforts in the US concerning AI chip exports and regulation, industry applications of AI such as enhancing security cameras, interpreting animal sounds, and transforming creative platforms like Figma, and advancements in AI technologyitself, including new models from Google and Mistral AI, and research into autonomous agents. The text also touches on the business aspects of AI, with acquisitions, funding initiatives, and discussions around workforce impact, alongside emerging ethical and societal implications like AI's use in court and the privacy concerns surrounding advanced smart glasses.

Ben Brooks, a fellow at Harvard's Berkman Klein Center and former head of public policy for Stability AI, joins Kevin Frazier, AI Innovation and Law Fellow at Texas Law and Contributing Editor at Lawfare, to discuss a sudden and significant shift toward open-sourcing leading AI models and the ramifications of that pivot for AI governance at home and abroad. Ben and Kevin specifically review OpenAI's announced plans to release a new open-weights model.Coverage of OpenAI announcement: https://techcrunch.com/2025/03/31/openai-plans-to-release-a-new-open-language-model-in-the-coming-months/To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

​​In a conversation recorded live at the White House Correspondents' Weekend TGAIFriday Lunch, Navy CTO Justin Fanelli describes how he is harnessing AI to make our military smarter, safer, and ensure our war fighters keep their competitive edge. He also explains why the Pentagon is shedding “technical debt,” and moving at “flank speed” to outpace China. Booz Allen engineer Zane Price reveals how the Space Llama model–a collaboration between Meta and Booz Allen that was announced that day–for the first time gives astronauts direct access to information through a trusted, safe open source LLM. 

Does Open-Source AI Create a False Sense of Security?Listen to Suryaprakash Nalluri, an accomplished application security leader, discuss the shifting landscape of application security, challenges with open-source software, and the critical role of DevSecOps in modern development. + + +Find more episodes on YouTube or wherever you listen to podcasts, as well as at netspi.com/agentofinfluence.

Meta's LlamaCon event showed progress but left many wondering if open source is losing ground. Meta released a new API, a standalone chatbot app, and shared plans for developer tools and infrastructure. But newer models from DeepSeek and other groups are outperforming Meta's on benchmarks. Plus up to 30% of Microsoft's code has now been written by AI. Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The Automation Platform for AI Experts - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

In this episode the duo talks about using open-source AI models on the new Ninjalane server and discuss some of the ways you can easily customize them for different uses from building out tailored documents to planning your D&D campaign. While hosting your own private AI sounds complicated the overall process is actually rather straightforward, provided you have the correct hardware to run them.

Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).Featuring:Robert Brennan – LinkedIn, XGraham Neubig – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:All HandsAll Hands on GitHubAll Hands on Hugging Face 

In this episode, Tobi talks with Georg Zoeller, Co-Founder of the Centre for AI Leadership and mercenaries.ai, about the turbulent landscape of AI. Georg, with his background at Meta and deep expertise in AI strategy, cuts through the hype surrounding AI's capabilities and economic impact. They discuss the 'singularity' we're already in, driven by rapid, open-source AI development, and why this makes future predictions impossible. Georg argues that software engineering is being commoditized due to the vast amount of training data available (Stack Overflow, GitHub), making AI adept at code generation but raising profound security concerns like prompt injection. Explore: - Why Georg believes blindly adopting AI early is a 'terrible mistake' for most companies. - The fundamental security flaws in LLMs (prompt injection) and why they're currently unsolvable for open input spaces. - The questionable economics of AI: high costs, self-cannibalizing business models, and the reliance on performative fundraising. - How AI tools impact engineer productivity, shifting the bottleneck to decision-making and validation. - The geopolitical risks and diminishing trust associated with Big Tech's AI dominance. - Actionable advice for CTOs: Invest in understanding, focus on governance beyond the tech team, and consider the strategic value of local/open-source alternatives.

Manos is the CEO of Oumi, a platform focused on open sourcing the entire lifecycle of foundation and large models. Prior to that he was at Google leading efforts on developing large language models within Cloud services. He also has experience working at Facebook on AR/VR projects and at Microsoft's cloud division developing machine learning based services. Manos received his PhD in computer engineering from Princeton University and has extensive hands-on experience building and deploying models at large scale. Time stamps of the conversation00:00:00 Highlights00:01:20 Introduction00:02:08 From Google to Oumi00:08:58 Why big tech models cannot beat ChatGPT00:12:00 Future of open-source AI00:18:00 Performance gap between open-source and closed AI models00:23:58 Parts of the AI stack that must remain open for innovation00:27:45 Risks of open-sourcing AI00:34:38 Current limitations of Large Language Models00:39:15 Deepseek moment 00:44:38 Maintaining AI leadership - USA vs. China00:48:16 Oumi 00:55:38 Open-sourcing a model with AGI tomorrow, or wait for safeguards?00:58:12 Milestones in open-source AI01:02:50 Nurturing a developers community01:06:12 Ongoing research projects01:09:50 Tips for AI enthusiasts 01:13:00 Competition in AI nowadays More about Manos: https://www.linkedin.com/in/koukoumidis/And Oumi: https://github.com/oumi-ai/oumiAbout the Host:Jay is a PhD student at Arizona State University working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

Mark speaks with tech entrepreneur Barak Cohen to explore the transformative impact of AI on the legal profession, emphasizing the need for legal practitioners to adapt to new technologies to remain competitive. They discuss the evolving consumer expectations and the potential for AI to enhance efficiency in legal processes. The dialogue also delves into the philosophical implications of AI in storytelling and truth-seeking, highlighting the distinction between belief systems and factual reality. Additionally, the two reflect on the influence of AI in music and the arts, considering its role as a tool for creativity while acknowledging the irreplaceable human touch in live performances. Connect with Barak on LinkedIn Takeaways AI mimics how the brain works, combining memory and language processing. The evolution of AI has been unprecedented, with rapid advancements in capabilities. AI can significantly impact professions that deal with language, especially in the legal field. Legal professionals must adapt to AI technologies to remain relevant. AI is not inherently truth-seeking; it generates outputs based on patterns in data. Open source AI allows for local hosting, which can protect sensitive data. AI can enhance efficiency in legal practices, reducing costs for consumers. The future of work will involve collaboration between humans and AI. Ethical considerations are crucial in the deployment of AI technologies. AI can automate routine tasks, allowing professionals to focus on more complex issues. The legal profession may need to adapt to AI to remain competitive. Consumers are increasingly demanding efficiency in legal services. AI can significantly reduce the time spent on legal tasks. The legal industry is facing pressure to innovate due to consumer expectations. AI's role in storytelling raises questions about truth and belief systems. Music and AI intersect in creative ways, enhancing production capabilities. The human touch in music remains irreplaceable despite technological advancements. AI can analyze and reconcile conflicting narratives effectively. The current era presents unique opportunities for tech-driven entrepreneurship. Understanding AI's biases is crucial for ethical applications in various fields. Chapters 03:03 Opportunities and Challenges in AI 05:56 AI's Impact on Professions 09:02 The Role of AI in the Legal Field 11:49 Navigating AI's Ethical Landscape 15:13 Open Source AI and Intellectual Property 18:08 The Future of AI in Business 29:39 The Impact of AI on the Legal Profession 39:14 AI as a Tool for Storytelling and Truth 44:18 The Role of Music and AI in Creative Expression Affiliate Links: Unleashing the Power of Respect: The I-M Approach by Joseph Shrand, MD This episode is brought to you in part by SecuriTitle, a fractional paralegal service assisting with all things real estate in Massachusetts and New Hampshire.

In this special SXSW edition of the Washington AI Network Podcast—recorded live at the SeedAI House—host Tammy Haddad interviews four innovators harnessing open-source AI to transform finance, healthcare, and music. Listen as Andrei Papancea (CEO, NLX), Dr. Kal Clark (founder, Zauron Labs), Martha Sylla Underwood (founder, Prismm), and award–winning producer Bosko Kante (founder, HiiiWAV) reveal how they're building next-generation solutions using models like Llama. From reducing errors in medical imaging to empowering new music creators, each conversation underscores how smart content, efficient workflows, and open-source collaboration can deliver real impact across industries.

Unlock the secrets to entrepreneurial success with host Gabriel Flores on The Shades of Entrepreneurship™ by understanding the role of open source software in empowering businesses. Hear how David Young build Federated Computer's suite of tools is transforming the way entrepreneurs build and customize their infrastructure for optimal performance.Support the showSubscribe at theshadesofe.com

In this episode of The Tech Trek, Amir Bormand sits down with Shang Wang, Co-founder and CTO of CentML, to explore the dynamic landscape of open source AI technologies and how enterprises are rapidly adapting to this growing ecosystem. Shang offers expert insights into why open source solutions are becoming essential in AI development, the advantages in security and privacy, and how CentML strategically contributes to this evolution.

In this episode of the Free Lawyer Podcast, the host welcomes Tim Sawyer, Executive Vice President of Sales at Faster Outcomes, to discuss the transformative potential of AI in the legal industry. Tim shares insights into how AI can improve law firm operations by automating tasks like document generation and client communication. He addresses common misconceptions about AI, emphasizing its role in enhancing, not replacing, legal professionals. Tim also highlights the importance of leveraging existing data and intellectual property within law firms to optimize outcomes. The episode underscores AI's potential to increase efficiency, client satisfaction, and overall profitability for law firmTim Sawyer is the EVP of Sales at Faster Outcomes, an AI-powered legal technology company transforming how law firms operate. A seasoned entrepreneur, Tim is a two-time Inc. 500 co-founder, having built and scaled two companies to successful private equity exits. With a passion for innovation and business growth, he thrives on helping lawyers leverage AI to increase efficiency, profitability, and client satisfaction. Tim is deeply connected to the legal community and enjoys working alongside attorneys to drive meaningful change in the profession.Transforming Traditional Law Firms (00:04:43)Using Handwritten Notes in AI (00:08:00)Improving Client Communication (00:09:05)Human Oversight in AI Processes (00:11:02)Learning Curve for Lawyers (00:12:35)AI's Role in Lawyer's Freedom (00:15:06)Ethical Considerations of AI (00:18:13)Securing Confidential Information (00:20:25)Common Misconceptions about AI (00:22:06)Understanding AI Accuracy (00:22:14)Trusting AI in Legal Practice (00:23:09)Utilizing Existing Data for AI (00:24:02)Succession Planning in Law Firms (00:25:09)Starting Small with AI Integration (00:25:50)Transformative AI Use Cases (00:28:07)Playing with Open Source AI (00:31:57)Would you like to learn more about Breaking Free or order your copy? https://www.garymiles.net/break-free Would you like to schedule a complimentary discovery call? You can do so here: https://calendly.com/garymiles-successcoach/one-one-discovery-call

Join me as I sit down with David Johnston, a crypto pioneer, Morpheus contributor, and early investor in decentralized tech. We discuss his journey from Bitcoin's early days to shaping Ethereum, Web3, DeFi, and AI-driven smart agents.

This episode is brought to you by Sonar, the creators of SonarQube Server, Cloud, IDE, and the open source Community Build.    Sonar unlocks actionable code intelligence, helping to redefine the software development lifecycle by use of AI and AI agentic systems, to continuously improve quality and security while reducing developer toil. By analyzing all code, regardless of who writes it—your internal team or genAI—Sonar enables more secure, reliable, and maintainable software. Join the over 7 million developers from organizations like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, who use Sonar.    Visit http://sonarsource.com/eyeonai to try SonarQube for free today.   ———————————————————————————————————————— The Future of AI is Open-Source | Manos Koukoumidis on UMI & The AI Revolution Is closed AI holding back innovation? In this episode, Manos Koukoumidis, CEO of Oumi, makes the case for why the future of AI must be open-source. OUMI (Open Universal Machine Intelligence) is redefining how AI is built—offering fully open models, open data, and open collaboration to make AI development more transparent, accessible, and community-driven. Big Tech has dominated AI, but UMI is challenging the status quo by creating a platform where anyone can train, fine-tune, and deploy AI models with just a few commands. Could this be the Linux moment for AI? What You'll Learn in This Episode: Why open-source AI is the only sustainable path forward The difference between “open-source” AI and true open AI How OUMI enables researchers and enterprises to build better AI models Why Big Tech's closed AI systems are losing their competitive edge The impact of open AI on healthcare, science, and enterprise innovation The future of AI models—will proprietary AI survive? The AI revolution is happening—and it's open-source. If you care about the future of AI, innovation, and ethical tech development, this episode is a must-watch. ————————————————————————————————————————   This episode is sponsored by Thuma.   Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.   To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai   ————————————————————————————————————————   (00:00) The True Meaning of Open-Source AI   (02:15) The Open vs. Closed AI Debate   (07:54) Why Open AI Models Are Safer  (10:34) Defining Open Data (13:21)Beating GPT-4-O with an Open AI Model   (16:36) Open AI in Healthcare (19:31) Why Open Models Will Dominate   (23:07) How OUMI Makes AI Training Fully Accessible & Reproducible   (28:44) UMI's Collaboration with Universities   (32:29) The Shift Toward Open A (36:41) Can We Build Truly Open AI Models from Scratch?   (40:20) The Role of Open AI in Eliminating Bias (45:02) Will Open AI Replace Proprietary AI Models?   (50:19) How OUMI Works (54:44) The Open AI Revolution Has Begun  

Co-hosts Mark Thompson and Steve Little explore how DeepSeek has dramatically changed the AI landscape by releasing a powerful, inexpensive, open-source model that challenges American dominance in AI.They celebrate the first anniversary of FamilySearch's Full-Text Search, which has expanded from three collections to three thousand in just one-year, revolutionizing access to billions of previously unsearchable records.Mark and Steve examine how Google and Microsoft are integrating AI into their productivity platforms, making these tools accessible to mainstream family historians at minimal cost.This week's Tip of the Week demystifies the difference between instructional and reasoning AI models, helping genealogists choose the right tool for the right job.In RapidFire, they discuss the ambitious $500 billion Project Stargate, major model updates from Gemini and Grok, and how Deep Research capabilities are becoming standard across all AI platforms.Timestamps:In the News:04:34 DeepSeek Shakes the AI World: Game-Changing Model from China15:51 FamilySearch Full-Text Search Turns One: From Thousands to Billions of Records23:33 Google and Microsoft Go All-In: AI Integrated into Workspace ToolsTip of the Week:29:22 Know Your Model: Understanding Instructional vs. Reasoning AIRapidFire:42:25 The Stargate Project: $500 Billion AI Infrastructure Initiative45:38 Major Model Updates: Gemini 2.0 and Grok 3 Beta Released48:41 Deep Research Becomes Industry Standard: Available Across All Major PlatformsResource Links:DeepSeek Backgrounderhttps://en.wikipedia.org/wiki/DeepSeekFamily Search Free Text Searchhttps://www.familysearch.org/search/full-text/collection/listFree Text Search of Ireland, Properties, from 1298 to 1975https://www.familysearch.org/search/full-text/collection/M9J1-ZYLCopilot is now included in Microsoft 365 Personal and Familyhttps://www.microsoft.com/en-us/microsoft-365/blog/2025/01/16/copilot-is-now-included-in-microsoft-365-personal-and-family/Google AI now Included in Workspace Planshttps://workspace.google.com/blog/product-announcements/empowering-businesses-with-AIIntroducing OpenAI o1https://openai.com/o1/OpenAI o3-minihttps://openai.com/index/openai-o3-mini/Announcing The Stargate Projecthttps://openai.com/index/announcing-the-stargate-project/Gemini 2.0 is now available to everyonehttps://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/Grok 3 Beta — The Age of Reasoning Agentshttps://x.ai/blog/grok-3Try Deep Researchhttps://blog.google/products/gemini/google-gemini-deep-research/Introducing deep research from OpenAIhttps://openai.com/index/introducing-deep-research/Introducing Perplexity Deep Researchhttps://www.perplexity.ai/hub/blog/introducing-perplexity-deep-researchTags:Artificial Intelligence, Technology, Genealogy, Family History, DeepSeek, AI Models, FamilySearch, Full-Text Search, Open Source AI, Microsoft 365, Google Workspace, Reasoning Models, Instructional Models, Language Models, Stargate Project, AI Infrastructure, Research Tools, Deep Research, AI Capabilities

This episode is sponsored by Thuma.   Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.   To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai   ————————————————————————————————————————— AI deployment is broken—can it be fixed? In this episode, Tuhin Srivatsa, CEO & Co-Founder of Baseten, reveals how his company is DISRUPTING AI infrastructure, making it easier, faster, and more cost-effective to deploy and scale AI models in production. As enterprises increasingly turn to open-source AI models and grapple with the high costs and complexity of scaling, Baseten offers a game-changing solution that eliminates bottlenecks and simplifies the process. Discover how Baseten is taking on AWS SageMaker, OpenAI, and cloud-based AI deployment platforms to reshape the future of AI model deployment. What You'll Learn in This Episode: Why AI deployment & scaling is one of the biggest challenges in 2025 How Baseten enables enterprises to run AI models faster & more efficiently The shift from closed-source to open-source AI models—and why it matters The hidden costs of AI inference & how to optimize for performance Why most AI models fail in production and how to prevent it The future of AI infrastructure: What comes next for scalable AI Whether you're a machine learning engineer, AI researcher, startup founder, or enterprise leader, this episode is packed with actionable insights to help you scale AI models without the headaches. Don't miss this conversation on the next era of AI deployment! #AI #ArtificialIntelligence #MachineLearning #Baseten #AIDeployment #AIScaling #Inference #MLInfrastructure #TechPodcast Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   —————————————————————————————————————————   (00:00) Tuhin Srivatsa's Journey in AI & Baseten   (01:50) What is AI Infrastructure & Why It Matters   (03:30) How Baseten Optimizes AI Model Deployment   (05:19) Why Most AI Deployments Fail (And How to Fix It)   (09:17) The Future of Open-Source AI Models in Enterprise   (11:01) How Baseten Automates AI Scaling & Inference   (14:12) Why AI Developers Struggle with Cloud-Based AI Tools   (18:47) The Real Cost of AI Inference (And How to Reduce It)   (20:44) Why AI Scaling is the Biggest Challenge in 2025   (26:55) Can AI Run on Non-NVIDIA Chips? (The Hardware Debate)   (31:23) The Future of AI Model Deployment & Inference   (37:05) How AI Agents & Reasoning Models Are Changing the Game   (40:39) The Truth About AI Hype vs. Reality   (45:04) How to Get Started with Baseten   (45:48) The Future of AI Infrastructure  

Prof. Jakob Foerster, a leading AI researcher at Oxford University and Meta, and Chris Lu, a researcher at OpenAI -- they explain how AI is moving beyond just mimicking human behaviour to creating truly intelligent agents that can learn and solve problems on their own. Foerster champions open-source AI for responsible, decentralised development. He addresses AI scaling, goal misalignment (Goodhart's Law), and the need for holistic alignment, offering a quick look at the future of AI and how to guide it.SPONSOR MESSAGES:***CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale deployments. Check out their super fast DeepSeek R1 hosting!https://centml.ai/pricing/Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***TRANSCRIPT/REFS:https://www.dropbox.com/scl/fi/yqjszhntfr00bhjh6t565/JAKOB.pdf?rlkey=scvny4bnwj8th42fjv8zsfu2y&dl=0 Prof. Jakob Foersterhttps://x.com/j_foersthttps://www.jakobfoerster.com/University of Oxford Profile: https://eng.ox.ac.uk/people/jakob-foerster/Chris Lu:https://chrislu.page/TOC1. GPU Acceleration and Training Infrastructure [00:00:00] 1.1 ARC Challenge Criticism and FLAIR Lab Overview [00:01:25] 1.2 GPU Acceleration and Hardware Lottery in RL [00:05:50] 1.3 Data Wall Challenges and Simulation-Based Solutions [00:08:40] 1.4 JAX Implementation and Technical Acceleration2. Learning Frameworks and Policy Optimization [00:14:18] 2.1 Evolution of RL Algorithms and Mirror Learning Framework [00:15:25] 2.2 Meta-Learning and Policy Optimization Algorithms [00:21:47] 2.3 Language Models and Benchmark Challenges [00:28:15] 2.4 Creativity and Meta-Learning in AI Systems3. Multi-Agent Systems and Decentralization [00:31:24] 3.1 Multi-Agent Systems and Emergent Intelligence [00:38:35] 3.2 Swarm Intelligence vs Monolithic AGI Systems [00:42:44] 3.3 Democratic Control and Decentralization of AI Development [00:46:14] 3.4 Open Source AI and Alignment Challenges [00:49:31] 3.5 Collaborative Models for AI DevelopmentREFS[[00:00:05] ARC Benchmark, Chollethttps://github.com/fchollet/ARC-AGI[00:03:05] DRL Doesn't Work, Irpanhttps://www.alexirpan.com/2018/02/14/rl-hard.html[00:05:55] AI Training Data, Data Provenance Initiativehttps://www.nytimes.com/2024/07/19/technology/ai-data-restrictions.html[00:06:10] JaxMARL, Foerster et al.https://arxiv.org/html/2311.10090v5[00:08:50] M-FOS, Lu et al.https://arxiv.org/abs/2205.01447[00:09:45] JAX Library, Google Researchhttps://github.com/jax-ml/jax[00:12:10] Kinetix, Mike and Michaelhttps://arxiv.org/abs/2410.23208[00:12:45] Genie 2, DeepMindhttps://deepmind.google/discover/blog/genie-2-a-large-scale-foundation-world-model/[00:14:42] Mirror Learning, Grudzien, Kuba et al.https://arxiv.org/abs/2208.01682[00:16:30] Discovered Policy Optimisation, Lu et al.https://arxiv.org/abs/2210.05639[00:24:10] Goodhart's Law, Goodharthttps://en.wikipedia.org/wiki/Goodhart%27s_law[00:25:15] LLM ARChitect, Franzen et al.https://github.com/da-fr/arc-prize-2024/blob/main/the_architects.pdf[00:28:55] AlphaGo, Silver et al.https://arxiv.org/pdf/1712.01815.pdf[00:30:10] Meta-learning, Lu, Towers, Foersterhttps://direct.mit.edu/isal/proceedings-pdf/isal2023/35/67/2354943/isal_a_00674.pdf[00:31:30] Emergence of Pragmatics, Yuan et al.https://arxiv.org/abs/2001.07752[00:34:30] AI Safety, Amodei et al.https://arxiv.org/abs/1606.06565[00:35:45] Intentional Stance, Dennetthttps://plato.stanford.edu/entries/ethics-ai/[00:39:25] Multi-Agent RL, Zhou et al.https://arxiv.org/pdf/2305.10091[00:41:00] Open Source Generative AI, Foerster et al.https://arxiv.org/abs/2405.08597

- Trump's Administration and Its Impact (0:10) - Positive Changes and Future Prospects (5:45) - Introduction of the Documentary and Song (8:38) - AI and Decentralization (24:21) - Interview with Maria Z and AI Technology (33:22) - Concerns About AI and Government Control (46:41) - Economic Sabotage and Government Reform (48:11) - Future of AI and Government Reform (54:41) - Conclusion and Final Thoughts (1:03:43) - Decentralization and AI Weaponization (1:12:53) - Decentralized Media and AI Tools (1:20:24) - Nvidia's Digit Supercomputer and AI Applications (1:23:11) - Concerns About AI and Transhumanism (1:26:35) - The Race to AGI and Superintelligence (1:31:01) - Open Source AI and Innovation (1:33:47) - Gold and Silver Shortages (1:39:41) - The Role of Gold in Economic Reset (2:02:26) - The Comets of God: Science Meets Scripture (2:03:07) - Trump's Geopolitical Strategy: Russia, China, and Europe (2:13:12) - The Future of Global Trade and Peace (2:27:23) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

With China's DeepSeek making waves in AI, pressure is mounting for the U.S. to rethink its stance on open-source models. Former Google CEO Eric Schmidt argues that America's edge in AI may depend on supporting open development. Meanwhile, Sam Altman suggests OpenAI may need a new approach. Is the era of closed AI coming to an end?Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

We dive into the story of Silk Road—the infamous darknet marketplace that changed the internet. We revisit its rise under Ross Ulbricht, aka "Dread Pirate Roberts," and how law enforcement finally brought it down. With Ulbricht's recent presidential pardon in 2025, his release reignites debates on digital privacy, cybercrime, and government overreach. Plus, we've got a lot to catch up on—DeepSeek, the latest in AI, and much more.  Hacked is brought to you by Push Security—helping companies stop identity attacks before they happen. Phishing, credential stuffing, session hijacking—Push tackles it right where it starts: in the browser. Smart, seamless, and built for how people actually work. Check them out at pushsecurity.com. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week, we discuss how LLMs are changing software development, OpenAI's deep research, and why the Gartner Hype Cycle persists. Plus, a business plan built entirely around ice! Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=JyTb1v4-oZQ) 506 (https://www.youtube.com/watch?v=JyTb1v4-oZQ) Runner-up Titles I bought the DevOps I'm always looking for tomatillas You're making a strong case for RTO The CEO of ice. The VP of Ice Machines. What you are doing is toil I think about WALL-E every day Eliminating the first draft Rundown The End of Programming as We Know It (https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/) Apple Earnings, OpenAI Deep Research, The Unbundling of Substantiation (https://stratechery.com/2025/apple-earnings-openai-deep-research-the-unbundling-of-substantiation/) Gartner's Grift Is About To Unravel (https://dx.tips/gartner) Relevant to your Interests Google goes heavy on investment but light on detail (https://on.ft.com/3Q619Wc) Researchers created an open rival to OpenAI's o1 'reasoning' model for under $50 (https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/) Dumping open source for proprietary rarely pays off: Better to stick a fork in it (https://www.zdnet.com/article/dumping-open-source-for-proprietary-rarely-pays-off-better-to-stick-a-fork-in-it/) Report: OpenAI's ex-CTO, Mira Murati, has recruited OpenAI co-founder John Schulman (https://techcrunch.com/2025/02/06/report-openais-ex-cto-mira-murati-has-recruited-openai-co-founder-john-schulman/) Broadcom and Nvidia are capitalizing on the return of the winner-take-all AI trade (https://sherwood.news/markets/broadcom-and-nvidia-are-capitalizing-on-the-return-of-the-winner-take-all-ai/) When will remote workers see their pay cut? (https://www.economist.com/finance-and-economics/2025/02/06/when-will-remote-workers-see-their-pay-cut) How Microsoft Releases Changes to Azure - Safe Deployment (https://luke.geek.nz/azure/azure-platform-release-process/) Servers can last a long time (https://world.hey.com/dhh/servers-can-last-a-long-time-165c955c) Matt Mullenweg: WordPress Controversy, Future of Open Source AI, and Navigating Backlash (https://theloganbartlettshow.substack.com/p/matt-mullenweg-wordpress-controversy?utm_source=post-email-title&publication_id=1161376&post_id=156676755&utm_campaign=email-post-title&isFreemail=true&r=yr5ci&triedRedirect=true&utm_medium=email) Turn/River Agrees to Buy SolarWinds Years After Cyber-Attack (https://finance.yahoo.com/news/turn-river-agrees-buy-solarwinds-174426287.html) Gartner's Grift Is About To Unravel (https://dx.tips/gartner) Developer creates endless Wikipedia feed to fight algorithm addiction (https://arstechnica.com/gadgets/2025/02/new-wikitok-web-app-allows-infinite-tiktok-style-scroll-of-wikipedia/) You Didn't Notice MP3 Is Now Free (https://idiallo.com/blog/listen-mp3-is-free?ref=labnotes.org&utm_source=substack&utm_medium=email) The DevTools Ceiling: great as Open Source, AND a Terrible Business (https://dx.tips/ceiling) The VGHF Library opens in early access | Video Game History Foundation (https://gamehistory.org/vghf-library-launch/) Docker Announces Don Johnson as New CEO, Succeeding Scott Johnston (https://www.globenewswire.com/news-release/2025/02/12/3025262/0/en/Docker-Announces-Don-Johnson-as-New-CEO-Succeeding-Scott-Johnston.html) Developers Unhappy With Tool Sprawl, Lagging Data, Long Waits (https://thenewstack.io/developers-unhappy-with-tool-sprawl-lagging-data-long-waits/) Thomson Reuters Wins First Major AI Copyright Case in the US (https://www.wired.com/story/thomson-reuters-ai-copyright-lawsuit/) Apple brings heart rate monitoring (https://techcrunch.com/2025/02/11/apple-brings-heart-rate-monitoring-to-powerbeats-pro-2/) Nonsense TabBoo (https://tabboo.xyz/) Conferences DevOpsDayLA (https://www.socallinuxexpo.org/scale/22x/events/devopsday-la) at SCALE22x (https://www.socallinuxexpo.org/scale/22x), March 6-9, 2025, discount code DEVOP VMUG NL (https://vmugnl.nl), March 12th, Coté speaking. DevOpsDays Chicago (https://devopsdays.org/events/2025-chicago/welcome/), March 18th, 2025. SREday London (https://sreday.com/2025-london-q1/), March 27-28, Coté speaking (https://sreday.com/2025-london-q1/Michael_Cote_VMware__Pivotal_Platform_Engineering_for_Private_Cloud). 10% with code LDN10 Monki Gras (https://monkigras.com/), London, March 27-28, Coté speaking. Cloud Foundry Day US (https://events.linuxfoundation.org/cloud-foundry-day-north-america/), May 14th, Palo Alto, CA NDC Oslo (https://ndcoslo.com/), May 21-23, speaking. KubeCon EU (https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/), April 1-4, London. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Oxide and Friends | AI Disruption: DeepSeek and Cerebras (https://oxide-and-friends.transistor.fm/episodes/ai-disruption-deepseek-and-cerebras) Matt: Beats Fit Pro (https://www.beatsbydre.com/earbuds/beats-fit-pro/MK2J3/sage-gray) Coté: Alfred (https://www.alfredapp.com). PoliticalWire.com (https://members.politicalwire.com/referral/30klklm). Photo Credits Header (https://unsplash.com/photos/crystal-gemstones-PteeDvACFak)

Deepseek continues to have the whole world talking and debating. In this long reads episode, NLW discusses the it in the context of two articles about the geopolitics of the issue.Reading and discussion inspired by:https://www.nytimes.com/2025/02/05/opinion/ai-deepseek-trump-biden.htmlhttps://www.yahoo.com/news/opinion-china-shares-ai-us-123000929.htmlBrought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

The recent controversy between WordPress and WP Engine put Matt Mullenweg (Co-Founder of WordPress, CEO of Automattic) under intense online scrutiny. In our conversation, he shared lessons from the controversy and managing through crisis, as well as this thoughts on the future of open source AI and more.(00:00) Intro(01:17) Controversy with WP Engine(03:36) Understanding Open Source and Trademarks(04:36) Automattic's Role and Contributions(08:26) Navigating Legal Battles and Community Relations(18:27) Leadership and Personal Resilience(21:49) The Impact of Social Media on CEOs(31:22) Future Outlook and Reflections(32:42) Exploring the Quinn Model and Open Source Innovations(33:17) The Evolution of AI Interfaces and User Interactions(35:36) AI as a Writing and Coding Partner(38:07) The Power of Open Source in AI Development(40:00) Commoditizing Complements: A Business Strategy(41:39) The Battle with Shopify and Open Source Models(42:33) The Impact of Open Source on Market Dynamics(43:55) USB-C Transition and Gadget Recommendations(47:53) The Benefits of Sabbaticals(53:34) The Future of WordPress and Automattic(59:12) Employee Ownership and Liquidity Programs(01:04:33) Conclusion and Final Thoughts Executive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin Hrabovsky Check out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA 

Artificial Intelligence is reshaping industries and global competition, and understanding its market impact is critical.How do advancements like DeepSeek's AI change the game? What does it mean for the global economy, technology stocks, and U.S.-China relations?In this episode, Ryan Detrick, Chief Market Strategist at Carson Group & Sonu Varghese, VP, Global Macro Strategist at Carson Group, explore the transformative impact of AI, the economic trends shaping 2024, and the importance of diversification in portfolios. They also discuss the implications of AI for productivity, technology sector competition, and global markets.Ryan and Sonu discuss: The emergence of DeepSeek, a cost-effective and open-source AI competitor, and its implications for the AI marketU.S. and Chinese competition in technology innovation and the broader economic significance of AI advancementsThe impact of AI cost reductions on accessibility, productivity, and business adoption across sectorsRecent market trends, including the role of technology stocks, mid-cap performances, and financial sector growthThe broader economic outlook, emphasizing the benefits of AI-driven cost efficiencies for the economy and the importance of maintaining diversified investment strategiesAnd more!Resources:Any questions about the show? Send it to us! We'd love to hear from you! factsvsfeelings@carsongroup.com Connect with Ryan Detrick: LinkedIn: Ryan DetrickX: Ryan DetrickConnect with Sonu Varghese: LinkedIn: Sonu VargheseX: Sonu Varghese