Podcasts about open source ai

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

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:

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, they discuss the overturning of the AI Diffusion Rule, Brad's trip to the Middle East, Middle East Deals, China Tariffs, Reconciliation Bill, Invest America, Delaware Incorporation Rights, Momentum in Crypto, Open Source AI in China, & more. Enjoy another episode of BG2!Timestamps:(00:00) Intro(02:02) AI Diffusion Rule and Middle East Deals(20:31) China Tariff Deal (31:10) Reconciliation Bill(44:06) Invest America inclusion in the bill(49:09) Delaware Incorporation Rights(59:51) Major Momentum in Crypto(01:06:28) Open Source AI in China Show Notes:WSJ - The Tech Industry Is Huge–and Europe's Share of It Is Very SmallWelcome to the China Hawk Industrial ComplexChina's Baidu to make latest Ernie AI model open-source as competition heats upLodestar Multipliers in Delaware and Federal Attorney Fee AwardsAvailable on Apple, Spotify, www.bg2pod.comFollow:Brad Gerstner @altcap https://x.com/altcapBill Gurley @bgurley https://x.com/bgurleyBG2 Pod @bg2pod https://x.com/BG2Pod

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/

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

In this episode, David Rubinstein interviews, Stephen Watt, VP of the Office of the CTO at Red Hat, about open source AI.They discuss: Differences between open source software and open source AIThe difficulty in applying open source principals to AIEfforts made to define open source AI

Eugenio Gonzalez, insurance leader at Plug and Play Ventures, discusses how insurers are leveraging open-source AI models to enhance transparency, reduce costs, and customize solutions, while innovation hubs are bridging the gap between startups and the insurance industry.

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  

SummaryIn this episode of AI in Action, Maurie and Jim discuss the implications of DeepSeek, an open-source AI model that has disrupted the market. They explore the differences between state-backed and private-sector innovations, the impact of AI on education, and the political ramifications of AI development. The conversation also touches on pricing dynamics in AI services, the future of AI models, regulatory challenges, and strategies for maintaining U.S. competitiveness in the AI landscape.TakeawaysDeepSeek is an open-source AI model that has disrupted the market.State-backed models like DeepSeek can operate at lower costs.Quality in AI varies and is determined by user experience.The U.S. needs to level the playing field against state-supported competitors.AI is exacerbating issues of product duplication in the market.Investment in infrastructure is crucial for AI development.The delivery of messages in policy is as important as the content.Regulatory challenges in AI are complex and evolving.Pricing dynamics in AI services are shifting due to competition.The future of AI models may involve more efficient communication between AIs.Chapters00:00 Introduction to AI in Action01:02 DeepDive into DeepSeek04:01 Comparing State-Backed vs Private Sector Innovations08:34 The Impact of Open Source AI on Pricing12:35 Quality and Use Cases of New AI Models15:55 Navigating the AI Landscape: U.S. vs. China19:36 Political Implications of AI Development23:52 Future of AI Regulation and Innovation27:07 Conclusion and Future Outlook

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

In this episode, Andrew Brown, founder of Exam Pro, joins the podcast to discuss his background in educational technology and his current endeavors in teaching tech certifications and coding boot camps. Andrew shares his excitement about generative AI and how developers can stay updated with rapidly evolving innovations like Deepseek and the Open Platform for Enterprise AI (OPEA), the importance of understanding foundational concepts, and the role of open models in democratizing AI technology. The conversation also covers the relevance of deploying custom models, integrating reliable educational strategies, and ensuring developers have the knowledge to use AI applications effectively. Andrew shares insights on his courses and offers practical advice for developers keen on diving into generative AI.   00:00 Introduction and Guest Welcome 00:19 Andrew Brown's Background and Current Work 01:10 Exciting Trends in Tech Education 02:20 Deep Dive into Generative AI 05:23 DeepSeek and AI Model Costs 07:44 Challenges and Opportunities in AI Development 09:22 Open Source AI and Developer Training 11:00 Practical Advice for Aspiring Developers 13:00 Challenges and Opportunities in AI Development 18:34 Conclusion and Final Thoughts   Resources: FREE GenAI Boot Camp Exam Pro Resources on GitHub Andrew on GitHub Guest: Andrew Brown is the founder of Exam Pro where he creates training materials for developers. He also creates free cloud certification courses for freeCodeCamp.

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  

Can small, agile teams outpace massive, well-funded engineering orgs in AI and open-source innovation?Co-hosts Alex Kehaya & Bidhan Roy, Founder of Bagel Network joins Greg Osuri, Founder of Akash Network, for a deep dive into the open-source AI stack, decentralization, and the engineering principles behind lean, high-impact teams.Greg shares how Akash is revolutionizing cloud computing with decentralized infrastructure, the power of Zero Knowledge Proofs (ZKPs) for AI model validation, and why small, focused developer teams consistently outperform bloated, overfunded projects.Key Dev Insights:✅ Scaling open-source AI with decentralized computing✅ ZKPs & AI security—why cryptographic proofs are the future of model validation✅ Building with constraints—why limited funding fuels better engineering decisions✅ Community-driven dev—how Akash leverages contributors for rapid iterationJoin us for an engineering-first discussion on the future of decentralized AI and why lean, open-source teams are leading the way.Website: https://akash.network/Show LinksThe Index X ChannelYouTube

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. 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QuotesKent Keirsey "When we look at open source models, if you just release the weights, and you don't really release information on how the data set was captioned, for example, or how you construct the data set, if you don't really know how it got to the artifact that was released, as a user, you do not understand how it works."Charna Parkey But there's still a lot of claims by big tech right now about how anything on the internet should be fair use for training, even if, you know, it might have its own kind of copyrightTimestamps[00:02:00] - Kent Keirsey on his journey to open source[00:06:00] - Kent Keirsey on the Open Model Initiative (OMI)[00:08:00] -What makes a model truly open source[00:12:00] - The legal landscape of AI and copyright[00:14:00] - Kent Keirsey on the ethical implications of AI training data fair and use and AI development[00:26:00] Creativity, AI tools, personal AI models and recommendation algorithms:[00:32:00] - Kent Keirsey on TikTok and cultural clash:[00:38:00] - AI, self-reflection and a decision-making tool[00:42:00] - The Bria AI partnership[00:52:00] - The future of creativity, AI and Robotics:[01:00:00] - Final thoughts with producer Leo GodoyConnect with Kent KeirseyConnect with Charna Parkey

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 

Cybersecurity Today: DeepSeek AI Disruptions, Nvidia Breach, and TalkTalk Hack Revisited In this weekend edition of Cybersecurity Today, our panel reviews the most significant cybersecurity stories of the past month. This episode features Laura Payne from White Tuque, David Shipley from Beauceron Security, and Dana Proctor from IBM. Key topics include the sudden emergence of DeepSeek AI, Nvidia's vulnerabilities and their effect on stock prices, and TalkTalk's latest data breach. Additionally, the discussion covers the soaring API security vulnerabilities reported by Wallarm and the UK's potential legislative action on ransomware payments. Stay tuned for expert insights and analysis on these pressing issues in the world of cybersecurity. 00:00 Introduction and Panel Welcome 00:41 DeepSeek AI Disruption 02:09 Security Concerns and Reactions 04:06 NVIDIA's Vulnerabilities and AI Security 07:15 Economic and Geopolitical Implications 12:13 AI in Business and Security Practices 20:57 Open Source AI and Cybersecurity Risks 25:37 Responsibility in Data Management 26:25 AI's Unstoppable Progress 26:53 API Security Concerns 28:41 Non-Human Identities and API Challenges 30:36 The State of Cybersecurity Awareness 35:05 Legislative Hopes and Cybersecurity 37:25 TalkTalk Breach Revisited 44:10 Ransomware Legislation Proposals 45:34 Shoutout to Cyber Police 47:04 Closing Remarks and Audience Engagement

Exploring the Latest in AI: DeepSeek, Open Source Models, and Future Prospects - Project Synapse Episode Join us for another insightful episode of Project Synapse as hosts Jim, John Pinard, and Marcel Gagné delve into the latest developments in artificial intelligence. This week, the team discusses the groundbreaking launch of DeepSeek, an open-source AI model set to disrupt the tech world. They explore the potential and implications of reasoning models like DeepSeek and Quen, and reflect on the rapid advancements in AI within just a few weeks. The hosts also debate the balance between security and innovation, the potential of AI democratization, and the future of agent computing. Whether you're an IT professional or an AI enthusiast, this episode is packed with valuable insights and lively discussions about the ever-evolving world of artificial intelligence. 00:00 Introduction to Project Synapse 00:13 AI Developments and Innovations 01:30 DeepSeek's Groundbreaking Announcement 03:02 Anthropic and Claude AI Model 04:15 Debate on AI Costs and Efficiency 07:17 Open Source AI and Security Concerns 10:54 Canadian AI Initiatives and Challenges 18:10 Global AI Landscape and Free Speech 30:15 The Relentless Pursuit of Security 32:01 Balancing Speed and Productivity 32:41 AI's Role in Enhancing Productivity 33:50 The Importance of User-Centric Design 34:58 The Rise of Reasoning Models 37:06 The Future of AI and Multi-Agent Systems 38:05 The Impact of Open Source AI Models 38:56 The Evolution of AI Accessibility 41:26 Exploring AI Platforms and Tools 43:43 The Need for Simplified AI Interfaces 45:22 The Growing AI Ecosystem 56:01 Concluding Thoughts and Future Directions

We all know pretty well what open source means and what AI means. But what does open source AI mean? Is there even such a thing? Join us for an intriguing episode as we host Stefano Maffulli, Executive Director of the Open Source Initiative (OSI). The OSI has been the steward of the Open Source Definition for over two decades, and has recently launched its first draft of the Open Source AI Definition—OSAID 1.0—following intense community discussions, and amid corporate and governmental policy making and opinion shaping efforts. In this engaging fireside chat, host Dotan Horovits and Stefano delve into the evolving role of open source in the age of AI. Stefano shares insights into how open source principles are being applied to artificial intelligence, the challenges of defining openness in this rapidly advancing field, and the impact of OSI's work in shaping the future of AI innovation. Whether you're a developer, data scientist, FOSS advocate, or simply curious about the intersection of open source and AI, this is an episode you won't want to miss! Stefano Maffulli is a leader in the global Open Source community and has experience leading global projects across organisations, partners, and countries. Stefano is a skilled writer and speaker on community building and an active Open Source contributor. The episode was live-streamed on 21 January 2025, and the video is available at https://youtube.com/live/DIcv2YbFC6c You can read the recap blog here: https://medium.com/p/5ba89e11c26d OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube. We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat. ⁠⁠https://www.youtube.com/@openobservabilitytalks⁠   https://www.twitch.tv/openobservability⁠ Show Notes: 00:44 - Episode and guest intro 02:35 - What's the OSI's role today 07:33 - Trend of open source projects turning to the dark side 17:38 - AI challenges the open source definition 20:39 - How is open source different in AI than in software? 25:41 - The broken social contract of data 34:17 - White paper by the OSI and Open Future 40:23 - Open Source AI Definition v1.0, industry feedback and roadmap 49:55 - The EU AI Act and legislative work for open source AI 55:31 - What's next from the OSI Resources: Open Source Initiative (OSI): https://opensource.org/ Open Future and OSI - white paper on open source AI: https://opensource.org/data-governance-open-source-ai Mozilla and Eleuther - white paper on open source AI: https://foundation.mozilla.org/en/research/library/towards-best-practices-for-open-datasets-for-llm-training/ Dark Side of Open Source: The Community Strikes Back: https://medium.com/p/400a1a5c679e Socials: Twitter:⁠ https://twitter.com/OpenObserv⁠ YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠ Dotan Horovits ============ Twitter: https://twitter.com/horovits LinkedIn: https://www.linkedin.com/in/horovits/ Mastodon: https://fosstodon.org/@horovits BlueSky: https://bsky.app/profile/horovits.bsky.social Stefano Maffulli ============= Linkedin: https://www.linkedin.com/in/maffulli Mastodon: @ed@opensource.org Bluesky: @maffulli.net Threads: smaffulli

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

In this video interview, Taylor Linton of Hugging Face explains the thought process many IT decision makers go through as...[…]

In this video interview, Taylor Linton of Hugging Face explains the thought process many IT decision makers go through as...[…]

In this video interview, Hugging Face's Taylor Linton explains how enterprises can use existing open source software instead of building...[…]

In this video interview, Hugging Face's Taylor Linton explains how enterprises can use existing open source software instead of building...[…]

DeepSeek Breakthrough: The Democratization of AI and Its Implications Welcome back to Project Synapse! In this episode, we discuss the latest developments in AI, focusing on DeepSeek's open-source reasoning model. Join us as financial executive John Pinard and open-source guru Marcel Gagné delve into AI's role in defense, the U.S. Department of Defense's use of AI for identifying threats, and the Canadian government's new data center initiative. We also explore the democratization of AI, as DeepSeek makes advanced AI affordable and accessible, challenging major players in the industry. Don't miss this insightful discussion about AI's future and its global impact! 00:00 Welcome Back to Project Synapse 00:33 Introducing the Guests 01:09 Weekly AI News Highlights 01:23 AI in Defense: Ethical Concerns 02:42 Canadian AI and Economic Challenges 08:45 Open Source AI and Global Competition 13:31 Security and Safety in AI Development 19:38 Transparency and Open Source Models 32:07 AI in Corporate Settings: Key Considerations 32:25 Cybersecurity: Doing What You Can 32:56 Technology for Business: Practical Applications 33:33 AI Specialization vs. Monolithic Models 34:49 Quantum Computing: A Case Study 35:39 The Importance of Training in AI 36:58 Deploying AI Tools in Organizations 38:19 DeepSeek: A New AI Contender 40:42 Reinforcement Learning and AI Development 45:11 Open Source AI: Democratizing Technology 49:41 Global AI Competition: US vs. China 53:23 The Future of AI: Open Source and Accessibility 01:00:24 Conclusion and Final Thoughts

In this episode of the Eye on AI podcast, Paras Jain, CEO and Co-founder of Genmo, joins Craig Smith to explore the cutting-edge world of AI-driven video generation, the open-source revolution, and the future of creative storytelling. Paras shares the story behind Genmo, a company at the forefront of advancing video generation technologies, and their groundbreaking model, Mochi One. With a focus on motion quality and prompt adherence, Genmo is redefining what's possible in generative AI for video, offering unmatched precision and creative possibilities. We delve into the innovative approach behind Mochi One, including its state-of-the-art architecture, which enables fast, high-quality video generation. Paras explains how Genmo's commitment to open source empowers developers and researchers worldwide, fostering rapid advancements, customization, and the creation of new tools, like video-to-video editing. The conversation touches on key themes such as scalability, synthetic data pipelines, and the transformative potential of AI in creating immersive virtual worlds. Paras also explores how Genmo is bridging the gap between cutting-edge AI and practical applications, from TikTok-ready videos to future possibilities like interactive environments and real-time video game-like experiences. Discover how Paras and his team are shaping the future of video creation, blending art, science, and open collaboration to push the boundaries of generative AI. Don't forget to like, subscribe, and hit the notification bell for more insightful conversations on AI, technology, and innovation!   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Paras Jain and Genmo   (01:45) Video generation with Mochi One   (04:41) Open-source AI in video generation   (06:08) Building Mochi One (12:03) Simulating complex physics in video models   (14:35) Reducing latency: Fast video generation at scale   (20:34) Tackling cost challenges for longer videos   (23:14) Character consistency in AI-generated videos   (27:17) Why video models represent intelligence's next frontier   (30:18) How diffusion models create sharp, realistic videos   (34:02) Visualizing the denoising process in video generation   (39:36) Exploring user-generated video creations with Mochi One   (42:05) Monetizing open-source AI for video generation   (45:47) Video generation's potential in the metaverse   (47:19) Collaborating with universities to advance AI   (48:39) The future of generative AI

We're experimenting and would love to hear from you!In this episode of Discover Daily, we explore groundbreaking technological and scientific developments shaping our future. MIT's revolutionary DrivAerNet++ database takes center stage, featuring over 8,000 AI-generated electric vehicle designs with comprehensive aerodynamic data, promising to transform automotive development processes and accelerate EV innovation.The show delves into a major medical breakthrough as lenacapavir, Science magazine's 2024 Breakthrough of the Year, emerges as a game-changing HIV prevention drug. This remarkable innovation from Gilead Sciences offers six months of protection with a single injection, demonstrating 96-100% efficacy in clinical trials and holding promise for global HIV prevention efforts.The episode's main focus spotlights DeepSeek-V3, a cutting-edge open-source AI model boasting 671 billion parameters. Using innovative Mixture-of-Experts architecture, this powerful language model activates only 37 billion parameters per token, achieving impressive efficiency while maintaining high performance across various text-based tasks. The discussion explores its capabilities, limitations, and potential impact on the AI landscape.From Perplexity's Discover Feed:https://www.perplexity.ai/page/mit-s-ev-design-database-HW3LeM4gQNO2pa1oYp6AMwhttps://www.perplexity.ai/page/hiv-drug-named-breakthrough-of-kzPk2YAoQPKS.CdzOsNdXAhttps://www.perplexity.ai/page/deepseek-s-new-open-source-ai-YwAwjp_IQKiAJ2l1qFhN9gPerplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) Polymarket's election day triumph 2) Was the prediction markets' success a fluke or something with staying power 3) Why crypto folks love prediction markets 4) Bitcoin skyrockets after Trump's election 5) S&P 500 hits 6,000 6) Is this stock market momentum sustainable? 7) Why Tesla benefits from Trump's election - or does it? 8) Podcasts were the defining media format of the election 9) Why podcasts matter 10) Trump vs. Harris media strategy 11) Open source AI under the microscope as it's adopted for wartime uses --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Want a discount for Big Technology on Substack? Here's 40% off for the first year: https://tinyurl.com/bigtechnology Questions? Feedback? Write to: bigtechnologypodcast@gmail.com