The Generative AI Meetup Podcast

https://rtrvr.ai/ Join hosts Shashank from Google AI Labs and Mark (currently on hiatus from Amazon) as they interview Arjun and Pavani, the founders of Retriever AI. This episode explores how Retriever's innovative browser extension brings agentic LLM capabilities directly to your desktop browser, offering unique advantages over cloud-based alternatives. Learn how Retriever can automate repetitive tasks, extract data across multiple websites, and interact with your personal accounts while maintaining security and privacy. The founders share their journey from big tech to startup life, demonstrate real-world use cases, and reveal their exciting vision for a federated network of browser agents that could revolutionize how we interact with the web.

https://www.genspark.ai/ https://genaimeetup.com/ Follow the podcast: https://podcast.genaimeetup.com/ Join hosts Shishank and Mark as they dive deep into the world of generative AI agents with Lenzoy Lin, Engineering Lead at Gens Park. Discover how this rapidly growing startup is revolutionizing productivity through their suite of AI agents - from their groundbreaking phone call agent to deep research tools and slide creation capabilities. Learn how Gens Park has grown from $10M to $22M in ARR in just one month, their approach to building reliable AI systems, and get a glimpse into the future of human-AI collaboration. Whether you're a tech enthusiast, entrepreneur, or AI professional, this episode offers valuable insights into one of 2025's most promising AI startups. In this episode: Lenzoy Lin's journey from Google to leading Gens Park's engineering team How Gens Park's mixture of agents approach solves complex tasks Behind the scenes of their phone call agent, deep research tools, and slide creation capabilities The technical challenges of building reliable AI agents at scale Gens Park's position in the competitive AI landscape and future roadmap

https://www.realwear.com/ Timon Binder: https://www.linkedin.com/in/timon-binder/   Join us for a special episode as we sit down with Timon Binder, CTO of Realware, a leading AR hardware company transforming the enterprise landscape. Timon shares his journey from co-founding a startup in Switzerland to leading innovation in the US, revealing how Realware's AR headsets are revolutionizing industries like manufacturing, logistics, and healthcare. We dive deep into: Realware's approach to solving real-world problems with AR The challenges and opportunities in global hardware manufacturing How AI and voice assistants are reshaping user interaction The future of consumer AR and the transition from B2B to B2C Startup lessons, work culture differences, and advice for aspiring founders Whether you're a tech enthusiast, entrepreneur, or curious about the future of augmented reality, this episode is packed with insights, practical advice, and candid stories from the frontlines of innovation. Call to Action: If you're interested in AR, app development, or want to connect with Realware, check out the links in the episode description for open roles and collaboration opportunities!

Langflow: https://www.langflow.org/  https://www.producthunt.com/products/langflow  Langflow Desktop: https://www.langflow.org/desktop  In this insightful interview, Rodrigo from Langflow discusses the evolution and future of their low-code agent building platform. Starting with his background in machine learning and data science, Rodrigo explains how Langflow began as a vision to connect specialized AI models years before ChatGPT existed. The conversation covers Langflow's journey from open-source project to being acquired by DataStacks while maintaining its commitment to open-source principles. Rodrigo announces the exciting launch of Langflow Desktop, designed to democratize AI development by eliminating technical barriers through an intuitive drag-and-drop interface. Rodrigo details how Langflow serves both technical and non-technical users, supporting three main application types: LLM pipelines, RAG systems, and multi-agent applications. The interview highlights Langflow's integration with the new MCP protocol for more structured and efficient tool usage by AI agents. Looking to the future, Rodrigo envisions advanced agent orchestration systems where AI agents can assign tasks to each other, with humans serving as collaborators in the process. This episode offers valuable insights for anyone interested in the rapidly evolving landscape of AI agent development and deployment.

In this special episode, hosts Mark and Shashank take a break from their usual news coverage to explore the rapidly evolving world of AI agents. They define what agents are, examine their current capabilities, and make bold predictions about how these technologies will transform our lives over the next 1, 5, and 10 years. The hosts discuss how AI agents are already revolutionizing software development, research, and reasoning tasks, while exploring the imminent impact on knowledge work, self-driving vehicles, and scientific breakthroughs. Looking further ahead, they predict the widespread adoption of humanoid robots, the "YouTubeification" of product creation, and fundamental shifts in employment patterns. Whether you're new to AI or a seasoned professional, this episode offers fascinating insights into how exponential growth in AI capabilities will reshape our society, economy, and daily lives in ways we're only beginning to imagine.    

In this episode, hosts Mark and Shashank dive into recent developments in generative AI technology. They begin with NVIDIA's latest GTC announcements, including partnerships with GM for self-driving technology and advancements in robotics with Google DeepMind and Disney. The hosts debate the merits of camera-only versus LiDAR-based autonomous driving systems, referencing Mark Rober's viral comparison video. They also discuss NVIDIA's upcoming Ruben chip, which promises a 10-15x performance increase over the current Blackwell architecture. The conversation shifts to a correction about the DeepSeek model's computational requirements before culminating in a thought-provoking discussion about the challenges of creating generalized robotics systems and how simulation environments might accelerate development. Throughout the episode, the hosts share insights on what these technological advancements might mean for the future of AI and robotics.

This conversation delves into the latest developments in AI, particularly focusing on Google's Gemma models and their capabilities. The discussion covers the differences between various types of language models, the significance of multimodal inputs, and the training techniques employed in AI models. The hosts also explore the implications of open-source versus proprietary models, the hardware requirements for running these models, and the limitations of benchmarks in evaluating AI performance. Additionally, they touch on the future of robotics and the cultural differences in AI adoption, particularly between Japan and the United States. takeaways Open source models are pushing the boundaries of AI. Gemma models are capable of multimodal inputs. Different types of LLMs serve different purposes. Benchmarks can be misleading and should be approached with caution. Training techniques like RLHF are crucial for model performance. The hardware requirements for AI models vary significantly. Cultural differences affect the adoption of robotics and AI. Robots are increasingly filling labor gaps in societies with declining populations. AI benchmarks should be tailored to specific use cases. The future of robotics and AI feels imminent and exciting. Chapters  00:00 Introduction to the Week's AI Developments 00:50 Exploring Google's Gemma Models 03:21 Understanding Different Types of LLMs 05:32 Gemma's Multimodal and Multilingual Capabilities 08:45 Training Techniques Behind Gemma 15:48 Open Source Models and Their Impact 20:34 Benchmarking AI Models 28:30 Gaming Benchmarks in AI 34:10 The Ethics of Benchmarking in AI 44:56 Language Learning and AI Models 49:12 The Importance of Benchmarks 52:35 Vibe Checks and User Preferences 01:01:09 Top AI Models and Their Performance 01:13:35 Robotics and the Future of AI 01:27:20 Cultural Perspectives on Automation

In this conversation, Mark and Shashank discuss the latest advancements in AI, particularly focusing on China's lead in developing agentic models like Manus. They explore the capabilities of Manus, its performance on the Gaia benchmark, and the implications of AI in various sectors, including software development and customer service. The discussion also delves into the philosophical aspects of AI's potential to solve humanity's problems and the future of work as AI continues to evolve. takeaways China is leading in AI breakthroughs with models like Manus. Manus represents a shift towards more comprehensive AI solutions. The Gaia benchmark is crucial for evaluating AI performance. Manus scored impressively on the Gaia benchmark, nearing human performance. Future advancements in AI will focus on tool use and reasoning capabilities. The cost of training AI models is becoming a significant concern. AI can automate tedious tasks, impacting job markets. The marginal cost of software development is decreasing rapidly. AI has the potential to solve complex human problems. The evolution of AI will lead to more creative and powerful applications. Chapters 00:00 AI Breakthroughs: China's Lead in Agentic Computing 02:53 Understanding Manus: More Than Just a Model 06:05 Benchmarking AI: The Gaia Benchmark Explained 08:54 Human-Level Performance: Manus vs. Human Intelligence 11:45 The Future of AI: Tool Use and Reasoning Capabilities 14:59 Data and Integration: The Key to AI Success 17:46 Manus in Action: Real-World Applications 20:57 The Importance of Real-Time Data in AI 24:00 The Role of Human Oversight in AI Development 27:10 The Future of API Integration with AI 29:59 Building Modular AI Systems for Enhanced Functionality 44:22 The Evolution of AI in Software Engineering 48:06 The Rise of Smaller, Efficient AI Models 51:30 The Future of AI in Everyday Devices 57:09 The Cost of AI Agents vs Human Labor 01:01:30 AI in Customer Service and Beyond 01:10:07 The Impact of AI on Freelance Developers 01:17:35 The Future of AI: Solving Humanity's Problems Keywords: AI, Manus, China, agentic models, Gaia benchmark, human-level performance, tool use, reasoning capabilities, software development, customer service, AI agents, future of work, coding, creativity, philosophical implications

Mark's Channel: https://www.youtube.com/@UCqLp0T6WBwxmuJdmo4mUW5A Databricks Events: https://lu.ma/okxq0bt1 https://lu.ma/n7p3gdx0    In this episode of The Generative AI Meetup Podcast, we dive deep into the evolving landscape of AI coding assistants and their real-world applications. Our hosts explore the capabilities of Cursor, Claude 3.7, and other frontier models, discussing how these tools are transforming development workflows while acknowledging their current limitations. The conversation covers "vibe coding" - how non-developers can now create functional applications through prompt engineering, the challenges of scaling AI-generated code to enterprise levels, and the exciting potential of agentic behaviors in coding assistants. We also examine recent announcements from major tech companies including OpenAI's GPT-4.5, Amazon's Alexa Plus integration with Claude, and the competitive dynamics driving innovation in the AI space. Whether you're a developer looking to enhance your productivity or simply curious about how AI is reshaping software development, this episode offers valuable insights into the current state and future direction of generative AI tools. AI #GenerativeAI #CodingAssistants #Claude #Cursor #VibeCoding #AIAgents #TechTrends #SoftwareDevelopment #SmartAssistants

Youtube: https://www.youtube.com/@GenerativeAIMeetup   https://www.anthropic.com/news/the-anthropic-economic-index https://x.com/xai/status/1891699715298730482 - Grok 3 http://x.com/karpathy/status/1891720635363254772 https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/ https://en.wikipedia.org/wiki/Majorana_fermion https://www.youtube.com/watch?v=88vEsL5tgDI Grok 3 -Elon Musk new model - Seems to be a very brute-force approach (which is working) - Definitely a state of the art model - 40 dollars a month now - https://techcrunch.com/2025/02/19/x-doubles-its-premium-plan-prices-after-xai-releases-grok-3/ - 100,000 GPUs Majorana - Uses a particle called the Majorana - https://www.howtopronounce.com/ettore-majorana - https://en.wikipedia.org/wiki/Ettore_Majorana - Ettore Majorana disappeared soon after theorizing this particle in 1937 he disappeared in 1938 although thought to be alive - A majorana is a fermion that has its own antiparticle - this was originally theorized in 1937 - The particle has its own charge... and own antiparticle - it has a new topological state... which is a new state of matter - Has has 8 quibits - Is designed to scale to a million quibits - To break bitcoin you might need ~1500 to 5000 logical quibits - A quibit can be used to represent potentially infinite states Figure AI - Helix - https://www.figure.ai/news/helix - Vision-Language-Action (VLA) - Full-upper-body control - Multi Robot collaboration - Pick up anything - Single neural network to build this, no specific fine tuning - https://www.figure.ai/news/helix - Has a slow System 2 and a fast system 1 neural network - system 2 -- 7B - system 1 -- 80M   Get ready to explore the frontiers of technology in this exciting episode! We unpack the latest breakthroughs driving us toward Artificial General Intelligence (AGI) and beyond, with a mix of mind-blowing advancements and thought-provoking discussions: Grok 3 Unveiled: Elon Musk's xAI has dropped Grok 3, a powerhouse AI model dominating benchmarks and redefining what large language models can achieve. We dive into its stellar performance, its bold “no-filter” approach to information, and how it stacks up against heavyweights like Claude 3.5, OpenAI's offerings, and Google's latest.   Quantum Leap Forward: Microsoft's Majorana-based quantum chip is here, promising to scale quantum computing to a million qubits. We simplify the tech behind it, explore its potential to transform everything from cryptography to drug design, and ponder what it means for simulating reality itself.   Robots in Action: Figure AI's Helix brings us two humanoid robots teaming up to tackle chores like grocery unpacking. We marvel at their teamwork, laugh at their quirky moves, and discuss the hurdles and possibilities of general-purpose robotics in our everyday lives.   But it's not all tech demos and breakthroughs. We wrestle with the big stuff too: Are we inching closer to AGI? How do quantum computing, AI, and robotics fuel each other's progress? And what happens when unrestricted AI or quantum tech shakes up ethics—like privacy or security? Perfect for AI buffs, tech pros, or anyone curious about tomorrow, this episode blends sharp insights, lively debates, and a dash of humor. Jump in to stay ahead in the fast-moving world of generative AI! Listen now and join the discussion! Chapters:   0:00 - Introduction: The AGI RevolutionOpening remarks about how close we are to AGI and the recent breakthroughs 2:15 - Grok 3: The New AI BenchmarkDiscussion of Grok 3's capabilities and performance compared to other models 7:30 - Elon's 122-Day Data CenterHow Elon Musk converted an old Electrolux factory into a massive AI data center 11:45 - The Computing Power Behind GrokDetails about the 100,000+ GPUs and diesel generators powering Grok's training 15:20 - Why Grok "Just Feels Better"Analysis of what makes Grok 3 outperform other models in real-world use cases 19:40 - AI Guardrails: Freedom vs. SafetyThe ethical debate around AI content restrictions and guardrails 25:15 - The Cat and Mouse Game of AI SafetyHow users bypass AI safety measures and what it means for regulation 30:00 - Anthropic's Economic IndexSurprising data about how people actually use AI tools in practice 36:30 - Programming: AI's Killer AppWhy coding dominates AI usage and how models excel at verifiable tasks 42:15 - The $40 AI RevolutionGrok's pricing strategy and why it's disrupting the AI market 47:00 - Microsoft's Quantum Computing BreakthroughThe Majorana One and the mysterious physicist behind it 53:45 - The Path to One Million QubitsHow Microsoft plans to scale quantum computing in the next few years 58:30 - The Future of AI: Multiple Paths to AGIConcluding thoughts on how different technologies are converging toward AGI 1:02:15 - Final Thoughts: Tuesday Will Be InterestingClosing remarks on the rapid pace of AI development  

Podcast: https://podcast.genaimeetup.com/ Youtube: https://www.youtube.com/@GenerativeAIMeetup In this episode, we explore Stanford's groundbreaking S1 paper, which introduces a technique to transform any language model into a reasoning model for just $6 in computation costs. We dive deep into the implications of this research, discussing budget forcing techniques, the true costs of AI development, and the philosophical limits of artificial intelligence across different domains - from mathematical reasoning to language translation. The conversation extends to broader questions about superhuman AI capabilities and the fundamental limitations in various fields like translation, history, and agriculture. Join us for an insightful discussion on the future of AI reasoning and its practical applications. 0:00 - Intro and weekly AI news overview 1:06 - Introduction to the S1 paper from Stanford 1:40 - Explanation of reasoning models vs single-shot models 2:22 - Details of Stanford's S1 technique and QEN32B model 3:00 - Cost comparison with other models ($6 training cost) 4:04 - Discussion of model distillation technique 5:00 - Budget forcing explanation 6:33 - Story about building an AI stock research agent 8:22 - Philosophical discussion on reasoning limits

Youtube: https://www.youtube.com/@GenerativeAIMeetup   • The dramatic $97.4B bid by Elon Musk to acquire OpenAI and the complex nonprofit/for-profit structure debate • Analysis of OpenAI's true market value and competition in the AI space • ASML's groundbreaking sub-2nm chip manufacturing technology • Intel's challenges and the future of US semiconductor manufacturing • The fascinating history of Silicon Valley, from Bell Labs to modern tech giants We explore how these interconnected stories are shaping the future of AI and technology. Join the conversation and share your thoughts in the comments below! AI #Technology #OpenAI #ElonMusk #Semiconductors #TechNews #SiliconValley

Meetup Event: https://www.meetup.com/gen-ai/events/305158672 deep seek: https://chat.deepseek.com/ Subscribe to the podcast: https://podcast.genaimeetup.com/ In this week's episode, Mark and Shashank dive into the latest announcements from NVIDIA at CES 2025, including the groundbreaking RTX 50 series GPUs and the emergence of tiny, single-user supercomputers. They explore the implications of TSMC's 4nm chip production in Arizona and its impact on U.S. manufacturing and AI advancements. The conversation shifts to the impressive algorithmic innovations behind DeepSeek v3 and Microsoft's Phi-4, demonstrating how curated and synthetic data are driving efficiency in smaller, more powerful AI models. Mark shares his experience using AI tools like Claude 3.5 for medical insights and reflects on the potential of AI in healthcare. They also discuss NVIDIA's Cosmos platform for robotics and how self-learning frameworks could shape the future of AGI development. Finally, they highlight an exciting upcoming event with Sentient AI and why it's a must-attend for anyone in the Generative AI space.

Links: Sentient AI Meetup: https://www.meetup.com/gen-ai/events/305158672/ Deepseek: https://www.deepseek.com/ Nvidia CES Announcement: https://blogs.nvidia.com/blog/ces-2025-jensen-huang/ Simulated Snake/Worm neural network video: https://youtu.be/dqL66xD2b2s?si=iI3XeEC2yCYjNIq5 In this episode, recorded during a road trip to Tahoe, hosts Mark and Shashank dive deep into the latest AI breakthroughs, focusing on Deepseek's remarkable achievements in AI model development. They discuss how this Chinese company managed to create a competitive 670 billion parameter model with just a fraction of the resources of major tech companies. The conversation explores various technical innovations, from mixed precision training to multi-headed latent attention mechanisms, and extends to Nvidia's latest announcements at CES 2024, including their new RTX 50 series GPUs and advancements in robotics. Join Mark and Shashank for an engaging discussion about algorithmic improvements, computational efficiency, and the future of AI development, all while navigating through Sacramento's nighttime streets. Key topics covered: - Deepseek's AI model achievements - Technical innovations in AI model training - Nvidia's CES 2024 announcements - Developments in robotics and self-driving technology - The future of AI development

Youtube video: https://www.youtube.com/watch?v=es03jKOsJpE Arc Prize: https://arcprize.org/blog/oai-o3-pub-breakthrough https://deepmind.google/technologies/veo/veo-2/ Sora: https://openai.com/index/sora-is-here/ New video models pika2: https://pikartai.com/login/ - takes awhile to generate. A few minutes sora veo2 https://www.deepseek.com/   In this episode of the Generative AI Meetup Podcast, Mark and Shashank return after the holidays with fresh insights. They discuss the state of generative AI video models like OpenAI's Sora, Pika Labs, and Google's Veo2, exploring their strengths, weaknesses, and practical use cases. The duo dives into the current AI market landscape, questioning whether the rapid growth is sustainable or if we're heading toward an AI winter. They debate the economic impact of AI, its role in the stock market, and whether the "Magnificent 7" tech giants can justify their soaring valuations. They also explore groundbreaking developments like DeepSeek's budget-friendly GPT-4 class model and the rise of agentic AI, which could redefine productivity. Wrapping up with actionable advice, they reflect on how listeners can adapt and thrive in a world being reshaped by AI.

In this episode, Mark and Shashank dive into OpenAI's latest announcement, the $200/month GPT Pro model, and explore its capabilities, like self-reflection and handling complex reasoning tasks. They discuss how this new tier might impact researchers, developers, and knowledge workers, and compare it with advancements from Google, Amazon, and the open-source community. The conversation spans cutting-edge topics like agentic behavior, video generation models, multi-modal advancements, and the potential societal shifts as AI continues to evolve. From software engineering to the coffee-making "world model," this episode unpacks the state of generative AI and what lies ahead.

In this episode, Mark and Shashank dive into the transformative world of AI-generated music with tools like Suno and Oudio, exploring their implications for the music industry and creativity. They debate the strengths and weaknesses of leading generative AI models, including Anthropic's Claude, OpenAI's GPT, and Elon Musk's ambitious X.AI. The duo also discusses the critical role of hardware in AI, from Intel's challenges to OpenAI's custom chip strategy, and how it could shape the future of computing. Packed with insights, industry trends, and a touch of humor, this episode is a must-listen for tech enthusiasts and curious minds.

This week, Shashank and Mark sit down with SambaNova Systems, a leading AI chip startup competing with tech giants like Nvidia and Cerebras. Joined by SambaNova's Director of Machine Learning, Urmish, and founding team member Raghu, they explore how SambaNova's reconfigurable data flow architecture is changing the game in AI inference and training. They discuss the company's unique hardware, fast inference capabilities, memory optimizations, and what the future holds for AI chip innovation. Learn what it takes to build high-performance AI systems and where the industry is headed next!

In this week's episode, Shashank and Mark dive deep into Nvidia's current dominance in the AI hardware space and the potential challengers on the horizon. As companies like AMD, Cerebras, and SambaNova work to chip away at Nvidia's massive lead, is it time to reconsider your portfolio? Plus, we explore cutting-edge applications of generative AI in DNA analysis, gene therapy, and how AI agents could revolutionize everything from medical treatments to productivity tools.

In this episode, Mark and Shashank sit down with Greg and Chris, co-founders of AI Maker Space, at a hackathon in Palo Alto at the offices of 500 startups. They discuss the mission of AI Maker Space to build a community for developing and deploying large language model applications. The conversation covers topics such as the use of retrieval augmented generation (RAG) versus fine-tuning, the role of agents in AI applications, the importance of traditional software engineering skills in AI development, and the future of AI—including vision-language models and embodied AI. Greg and Chris also share advice for newcomers interested in entering the AI field. https://aimakerspace.io/ https://www.youtube.com/channel/UCbDZFHUjTCCUKyXgcp3g50Q

In this episode, Mark and Shashank dive into OpenAI's latest updates from their Dev Day, including the new advanced voice mode for ChatGPT and the real-time API for developers. They share their hands-on experiences with the enhanced voice features, discussing improvements in emotion, speed, and interaction. The conversation also explores Meta's recent AR/VR announcements, particularly the Orion glasses and the integration of AI into everyday eyewear. They discuss the implications of these technologies on privacy, daily life, and the evolving competitive landscape between OpenAI and Meta. Tune in to hear their insights on the future of generative AI.

In this episode Mark and Shashank delve into the intricacies of AI-driven decision systems with Lonnie Chrisman, CTO of Lumina Decision Systems. They explore the innovative product Analytica and its new AI extension, Assista, designed to enhance decision-making processes. Chrisman, an industry veteran, shares his journey from being the top electrical engineering student to spearheading technology that influences significant governmental and corporate decisions globally. This episode provides a profound understanding of the potential and challenges of integrating AI into complex decision environments.   Checkout Lonnie's talk as part of the Oct 10 Risk Awareness Week https://2024.riskawarenessweek.com/speakers/lonnie-chrisman/

This week's episode of the Generative AI Meetup Podcast, hosted by Mark and Shashank, dives into the riveting discussions from the recent Don't Die Summit. The duo shares their firsthand experiences, including an interview with Alex Zhavoronkov, CEO of Insilico, who discusses the groundbreaking generative AI model, Presses GPT, aimed at extending human healthspan. Also featured are insights into the newly announced OpenAI o1 model, its capabilities in enhancing AI reasoning, and a look into the latest Apple Intelligence features and iPhone 16. Join us for a comprehensive overview of AI's expanding role in health and technology.

In this week's episode of the Generative AI Meetup Podcast, join hosts Mark and Shashank as they delve into the groundbreaking developments from Cerebras. Discover how their new inference solution is setting new benchmarks for speed and efficiency in AI model responses. The episode features insights into the technology behind these advancements and explores potential impacts on various industries. Tune in to get a glimpse of the future of AI, made faster and more accessible than ever.

In this episode of the Generative AI Meetup Podcast we dive into the world of wearables and fitness trackers. We have an in depth interview with Jeff Cooper, a seasoned professional with experience at Nokia, Samsung, Javelin missile, and currently working on his own gym simulator. The conversation explores the potential downsides of wearable technology, particularly the pressure to constantly track and optimize every aspect of health. Jeff, a self-proclaimed "unathlete" turned fitness fanatic, shares his experience using various wearables (heart rate monitors, smartwatches, glucose monitors) and the impact on his workout routines. We ponder the potential for information overload and the disconnect between data and true bodily intuition, and debate the value of wearables for habit formation and long-term health goals. Jeff offers insights into the limitations of current wearable technology, particularly in accurately tracking weight training and injury prevention. The discussion concludes with the possibility of future advancements in wearables, like smart insoles and machine learning models that use multi-sensor data to predict injuries. This episode offers a balanced perspective on wearables, highlighting both their benefits and drawbacks.

This week on the Generative AI Meetup Podcast, hosts Mark and Shashank dive into the latest developments at OpenAI, including the dramatic changes in leadership and potential shifts in company ethics. We also tease the mysterious Project Strawberry and its potential impact on AI. Tune in to hear our insights on where OpenAI stands now and what the future might hold in this evolving landscape of generative AI technology. They also talk about their shared interest in biohacking, nutrition and longevity.

Welcome back to the Generative AI Meetup Podcast! After a brief hiatus, hosts Mark and Shashank return with fresh insights from a recent event held in a historic Silicon Valley location. This episode delves into the role of AI agents in transforming workflows and enhancing various business processes. The discussion kicks off with highlights from the meetup, attended by over 100 enthusiasts and professionals, and hosted at the birthplace of the integrated circuit. The conversation then shifts to the latest in AI news, focusing on Facebook's open-source Lama 3.1 model, which is setting new standards in AI performance and accessibility. Tune in to learn how these advancements in AI are not only pushing technological boundaries but also democratizing AI capabilities for startups and developers around the globe.

In this week's episode of the Generative AI Meetup Podcast, hosts Mark and Shashank dive into the latest advancements in generative AI. They kick off with a detailed exploration of Mistral Nemo, a new AI model that has set a benchmark with its unprecedented 128K context window. The discussion then shifts to an intriguing development at Microsoft, where a specialized LLM is being designed for optimizing spreadsheet functions. Join us to understand how these innovations are shaping the future of AI and why they matter to developers and businesses alike. Whether you're a seasoned AI enthusiast or just curious about the technology shaping our future, this episode is packed with insights you won't want to miss.

In this episode, Mark and Shashank dive into the intriguing world of AI agents. The duo unpacks the fundamental concepts of what AI agents are and how they function within workflows. They explore why these agents are garnering attention as the next big thing in the AI landscape. The episode also offers insights into practical applications and potential advancements that AI agents could enable. Join them as they discuss the upcoming workshop on building AI agents and provide a sneak peek into what participants can expect at the event in Palo Alto on July 25th. Whether you're a new listener or a returning fan, this episode promises to enhance your understanding of AI agents and their role in automating complex tasks.

Join us on this week's episode of the Generative AI Meetup Podcast, where hosts Mark and Shashank dive into the intriguing scenario of AI running government affairs, inspired by the current presidential debates. Amidst the backdrop of the debates between Joe Biden and Donald Trump, we explore the hypothetical: What if an AI model, instead of a person, governed? The episode starts off with Shashank sharing his insights on the newly released Rabbit R1 device—praised for its price but critiqued for its features. We then pivot to a rich discussion on AI's potential role in governance, balancing this futuristic vision with the current political climate and technological capabilities. Whether you're a tech enthusiast or a political aficionado, this episode promises a compelling blend of technology and policy considerations.

In this week's episode of the Generative AI Meetup Podcast, Mark and Shashank embark on an intriguing experiment: testing if AI can effectively perform jobs traditionally done by humans. They explore whether ChatGPT 4o and custom GPTs can replace salespeople and therapists by role-playing real-life scenarios. Can AI handle sales pitches and provide empathetic support during tough times? Tune in to find out how well ChatGPT fares and what this means for the future of these professions. Sales & Email Coach: https://chatgpt.com/g/g-HKpDuDZ2h-sales-email-coach Therapist • Psychologist CBT (non medical therapy): https://chatgpt.com/g/g-FGhasb1tZ-therapist-psychologist-non-medical-therapy 

In this engaging episode we delve into the latest from Apple's WWDC announcements. With a particular focus on Apple's bold redefinition of AI—from Artificial to Apple Intelligence—we explore the implications for consumers and the tech industry at large. We look at Apple's unique position with vertically integrated hardware, software and apps that few others can match except for maybe Google and Microsoft. Tune in as we dissect the newly announced features and speculate on how these changes might influence the broader landscape of technology, security, and data privacy.

In this episode, Mark and Shashank are joined by a special guest, Matt from Cerebras Systems. Matt, a key figure at Cerebras and a regular at the South Bay Generative AI Meetup, shares his wealth of knowledge about the cutting-edge advancements in AI hardware. He discusses how Cerebras is revolutionizing the field with their specialized ML training chips, which compete with Nvidia by optimizing for specific machine learning workloads. Tune in to learn about wafer-scale computing, the challenges and innovations in AI hardware, and how Cerebras is poised to lead the future of AI infrastructure.

This week, Mark and Shashank sit down with Kobie Crawford, a developer relations expert, and Nishant Deshpande, a specialist solution architect, to explore the impact of Databricks' acquisition of Mosaic ML. The guests share insights on the importance of proprietary data control, the benefits of customizing AI models, and the efficiency improvements in model training. The discussion covers the architecture and advantages of the new DBRX model, the shift from traditional NLP tools to LLMs, and the expanding applications of generative AI in various industries. Tune in to learn about these groundbreaking innovations and hear about upcoming events like the Data and AI Summit

Mark and Shashank return after a short break to discuss the latest in generative AI. This week, they delve into Google's new AI products and their playful self-awareness. They explore OpenAI's GPT-4o announcement, reminiscent of the movie "Her," and discuss its potential to revolutionize human-computer interactions. They also cover the advancements in DeepMind's AlphaFold, the implications for scientific research, and the future role of AI in medical research and longevity.

For this podcast, we are experimenting with a new setup to record video and star generating clips for social media. So apologies in advance for any change in audio quality. We talk about Opus Pro, a service we will be using, that autonomously generates, transcribes, and captions video clips poised for virality. We explore the landscape of generative AI, touching on recent developments in the field including the new state-of-the-art models from tech giants like Microsoft (Phi-3) and Meta (Llama 3). We also talk about new recent reviews for AI Hardware products like the Rabbit R1 and our increased expectation from technology. Something that would have impressed the entire world a few years ago is ridiculed today. Tune in to discover how these innovations are reshaping content creation and distribution, making it more accessible and engaging. Whether you're a tech enthusiast, a content creator, or just curious about the future of AI, this episode is packed with insights and a glimpse into the potential of AI-driven media. Join us on YouTube to experience the full visual and interactive potential of our discussion.

This episode dives into the latest trends in AI as seen at Coachella, where AI-generated visuals were a standout feature. We shift focus to the significant developments in AI technology, specifically discussing the launch of Llama 3. We cover the impact of open sourcing on AI innovation and outline the key elements required to develop next-generation AI models. Topics include the role of specialized chips, data center locations, and the overarching benefits of open-source contributions. Tune in to understand how these advancements are influencing both the tech and creative sectors.

We couldn't record an episode this week, but instead, here's a discussion we had a few weeks ago after watching the AI startups in the 500 Startups accelerator's latest batch pitch their products and services at preview day. Dive into the diverse applications of AI across various sectors, including educational technology, legal automation, and emotional learning enhancements. We explore how these startups are harnessing AI to improve learning experiences, optimize legal workflows, and personalize educational content. This episode offers insights into the dynamic ways AI is fueling innovation and transforming industries, making it a must-listen for anyone interested in the evolving landscape of tech-driven solutions.

In this episode we look at broader industry trends and speculate on the future. The conversation covers a variety of topics, from witnessing a total solar eclipse to the potential of decentralized large language models. They also delve into AI's role in weather prediction, celestial mechanics as seen in "The Three-Body Problem," and the impact of AI on hardware innovation, exemplified by the X Real AR glasses. This episode provides insights into the practical applications of AI and explores emerging technologies shaping the field. Here are some of the hardware companies we discussed in the episode: Humane AI pin with a camera & projector https://humane.com/  Open source wearable with a camera https://github.com/BasedHardware/Whomane  Rabbit R1 device with a camera & screen https://www.rabbit.tech/ Open Interpreter pebble like voice interaction device without a screen or camera https://www.openinterpreter.com/  AR sunglasses https://www.xreal.com/ 

This episode of the Generative AI podcast features Mark from Couchbase, a company with a long history in database technology, focusing on its latest advancements in edge computing capabilities. Mark, the director of product marketing, discusses the significance of Couchbase's move into on-device vector storage. This development represents a significant leap in enabling AI applications directly on mobile and IoT devices without compromising on performance or resource efficiency. Throughout the conversation, Mark highlights how this technology is set to change the landscape of data processing by allowing for more personalized and context-aware applications across various sectors, including gaming and healthcare. The discussion also covers the technical aspects of Couchbase's approach to embedding databases in devices, synchronization techniques, and the potential use cases enabled by this innovation. Listen to this episode for a detailed exploration of Couchbase's contributions to edge computing and the broader implications of on-device vector storage for the future of AI and database technology. Whether you're involved in software development, interested in the technicalities of edge computing, or looking into the future of AI applications, this episode provides a clear understanding of Couchbase's latest technological breakthroughs.

Dive into an electrifying episode of the leading generative AI meetup podcast, where hosts Mark and Shashank engage in a spirited discussion about the latest milestone in the AI race. This episode zeroes in on the momentous occasion where Anthropic's Claude Opus model has overtaken OpenAI's GPT-4, redefining the pecking order in the AI universe. The narrative explores the fierce competition within the AI sector, likening it to a high-stakes race where innovation is relentless, and being surpassed is just a blink away. The hosts delve into the repercussions of Claude Opus's ascendancy, stirring up the AI community and setting new benchmarks on the leaderboards that have become the battlegrounds for AI supremacy. They also ponder the future landscape with GPT-5 on the horizon, discussing how these cyclical overtake events fuel a never-ending quest for excellence. Beyond the race, the episode broadens its lens to cover the influence of open-source AI models and the critical role of platforms that provide a stage for these technological titans to showcase their prowess. As Shashank and his co-host unravel the complexities of this AI odyssey, listeners are treated to insights on how such advancements could revolutionize industries, from tech to healthcare, hinting at a future where AI's potential is boundless. Tune in for a captivating exploration of the AI race, where surpassing the old guard is not just celebrated but seen as a catalyst for the next wave of innovation.

In this week's episode, we dive deep into the rapid advancements in technology as highlighted by Nvidia's recent GTC conference. Our hosts unravel the complexities and innovations behind Nvidia's latest announcements, focusing on the groundbreaking Blackwell chip and the significant strides in GPU technology. They demystify the technical jargon, offering a clearer understanding of how these developments are propelling computing power forward at an unprecedented pace, far beyond Moore's Law's predictions. The discussion also explores Nvidia's venture into robotics with Project GR00T, illustrating how software advancements are enabling humanoid robots to learn and perform tasks by observing the real world. This episode sheds light on the fascinating intersection of hardware enhancements and software ingenuity, painting a picture of a future where technology's potential seems limitless. Tune in for an enlightening conversation on how these technological leaps are shaping the future of computing, artificial intelligence, and robotics, making what once seemed like science fiction increasingly a part of our reality.

In this episode, we delve into the practical applications and implications of Devin AI, described as the first AI software engineer, and Figure AI's robot, which utilizes ChatGPT for task execution. We examine how Devin AI aims to automate aspects of coding, potentially changing the software development landscape, and how Figure AI's robot represents a step towards integrating AI more deeply into everyday tasks and environments. Through discussions on the capabilities, limitations, and future prospects of these technologies, we aim to provide a balanced view of their impact on the tech industry, the evolving role of human-AI collaboration, and what these developments mean for the future of work and daily life. Join us for a grounded conversation on the current state and future possibilities of AI in shaping our world.   Mark's GPT Engineer: https://github.com/kuczmama/gpt-engineer Devin AI: https://www.cognition-labs.com/blog Figure AI: https://www.figure.ai 

In this captivating episode, join Shashank and Mark as they delve into the dynamic realm of Generative AI, spotlighting the formidable contenders challenging GPT-4's dominance. Discover the latest breakthroughs with models like Claude 3, Mistral, and Gemini, each bringing unique strengths to the forefront of AI development. The discussion doesn't stop at software; our hosts guide you through the complex ecosystem that enables these AI marvels, including the critical roles of chip manufacturing giants like TSMC and innovative companies like ASML. From exploring the intricate relationships between AI advancements, hardware innovation, and semiconductor manufacturing to speculating on the future of artificial general intelligence (AGI), this episode demystifies the layers of technology that fuel today's AI revolution.

In this episode , we sit down with Roger Rappoport, a pivotal figure in the Startup community in the SF Peninsula, who has been instrumental in shaping the success of our Generative AI Meetup group. He's helped us host monthly events at the Procopio Law offices in Palo Alto. Roger brings a wealth of experience from his journey as a recovering entrepreneur to becoming a leading legal expert, guiding startups from inception through to acquisition. We delve into Roger's transition from entrepreneurship to law, his pivotal role in the Silicon Valley bubble, and the evolution of the startup ecosystem. Roger shares invaluable advice on the importance of early legal guidance for startups, insights into funding trends, and the transformative impact of Generative AI on businesses and the legal profession. Join us as we explore the intersections of technology, law, and entrepreneurship with one of Silicon Valley's most influential legal advisors. https://www.procopio.com/people/roger-c-rappoport/ https://accesssiliconvalley.net/ 

Join us as we dive deep into the latest developments in artificial intelligence and technology. From groundbreaking algorithms like Stable Diffusion Three to the emergence of Gemma in the open-source community, they explore the implications for industries ranging from filmmaking to software development. With candid discussions on the future of AI and its impact on various professions, this podcast offers insights into the ever-evolving landscape of technology and its role in shaping our world.   Gemma Open source models: https://blog.google/technology/developers/gemma-open-models/ Stable Diffusion 3: https://stability.ai/news/stable-diffusion-3 Andrej Karpathy's GPT Tokenizer class: https://www.youtube.com/watch?v=zduSFxRajkE 

This episode dives into a trio of significant developments shaking the foundations of artificial intelligence. First, we explore OpenAI's unveiling of Sora, a cutting-edge model that transforms text prompts into stunning video content, heralding a new era of creative possibilities. Next, we turn our attention to Google's Gemini 1.5 Pro, which boasts a one million token context window, vastly expanding AI's understanding and memory capabilities. This monumental upgrade from GPT-4's limitations opens up new frontiers for research and application. Lastly, we discuss Andrej Karpathy's departure from OpenAI, reflecting on his contributions and speculating on his future endeavors that continue to shape the AI landscape. Join us for insightful discussions on these breakthroughs and their profound implications on technology, creativity, and the future of AI innovation.

In this riveting episode of our Generative AI Meetup podcast, we dive deep into the transformative world of Generative AI with Carter Rabasa, a seasoned Developer Relations Manager at DataStax. With over 20 years of experience in the tech industry, Carter shares his unique journey from software engineering to the forefront of developer relations, highlighting pivotal moments at Microsoft and Twilio. He offers an in-depth look at the evolution of API and developer ecosystems, the emergence of Generative AI, and the crucial role of developer relations in fostering innovation and community engagement. Carter discusses the significance of DataStax's Astra DB in leveraging NoSQL and vector databases for Generative AI applications, emphasizing the simplicity and power of building retrieval-augmented generation (RAG) solutions. He paints a vivid picture of the potential future applications, from enhanced organizational search capabilities to intuitive, conversational interfaces that could revolutionize user interaction with data. For those curious about stepping into the world of developer relations or Generative AI, Carter offers invaluable advice and insights, underlining the importance of empathy, technical proficiency, and a genuine desire to support developer success. This episode is a must-listen for anyone interested in the cutting-edge of technology and the community-driven efforts shaping the next wave of digital innovation.

In the latest episode of "The Generative AI Meetup Podcast," we had the pleasure of sitting down with Yi Ding, the esteemed Head of TypeScript and Partnerships at LlamaIndex. With an impressive career that spans across leading tech giants like Apple and Citadel Security, Yi brings a wealth of knowledge and experience to the table. Currently at the helm of LlamaIndex, Yi is deeply involved in pioneering efforts to harness the power of generative AI for innovative applications. Throughout our conversation, Yi shared insights into his professional journey, shedding light on the path that led him to where he is today. We delved into the core functionalities and use-cases of LlamaIndex, exploring how this platform stands at the intersection of AI and industry needs. Yi also gave us a glimpse into the future, discussing the challenges LlamaIndex is aiming to tackle and the potential solutions they are developing. A significant portion of our discussion was dedicated to philosophizing about the broader implications of AI scaling and its impact on various sectors. Yi's perspectives provided thought-provoking views on how AI is reshaping the technological landscape and what it means for the future of innovation. Please note that the audio quality of this episode may not be up to our usual standards, as the interview was conducted in the lively and bustling environment of a hackathon lobby. We appreciate your understanding and hope you find the insights shared by Yi Ding as enriching and inspiring as we did.