What even is AGI?

The Generative AI Meetup Podcast

The Generative AI Meetup Podcast

17:27

Why do so many of us get nervous when public speaking? Communication expert Lawrence Bernstein says the key to dealing with the pressure is as simple as having a casual chat. He introduces the "coffee shop test" as a way to help you overcome nerves, connect with your audience and deliver a message that truly resonates. After the talk, Modupe explains a similar approach in academia called the "Grandma test," and how public speaking can be as simple as a conversation with grandma. Want to help shape TED’s shows going forward? Fill out our survey ! Become a TED Member today at ted.com/join Hosted on Acast. See acast.com/privacy for more information.…

about a year ago 1:29:36

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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.

56 episodes

#Tech #Mark And Shashank

What even is AGI?

published about a year ago

MP3•Episode home

56 episodes

#Tech #Mark And Shashank

All episodes

The Generative AI Meetup Podcast

1
How Merlin AI went from zero to over 2 million users 1:13:13

4 days ago1:13:13

1:13:13

Try Merlin: https://www.getmerlin.in/ X: https://x.com/MerlinAIByFoyer Youtube: https://www.youtube.com/@merlin_ai/videos South Bay Gen AI: https://genaimeetup.com/ Mark's Youtube Channel: https://www.youtube.com/@markkuczmarski896

The Generative AI Meetup Podcast

1
How to automate your life with rtrvr.ai 1:16:39

12 days ago1:16:39

1:16:39

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.…

The Generative AI Meetup Podcast

1
Interview with the fastest growing startup in terms of ARR | Genspark 48:57

27 days ago48:57

48:57

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…

The Generative AI Meetup Podcast

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The future of Augmented Reality | Interview with Real Wear CTO Timon Binder 1:20:48

7 weeks ago1:20:48

1:20:48

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!…

The Generative AI Meetup Podcast

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Building AI Agents Without Code | Interview with Langflow 24:45

8 weeks ago24:45

24:45

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.…

The Generative AI Meetup Podcast

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What will the world look like in 2035? 47:56

9 weeks ago47:56

47:56

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.…

The Generative AI Meetup Podcast

1
What even is AGI? 1:29:36

9 weeks ago1:29:36

1:29:36

The Generative AI Meetup Podcast

1
Can you trust LLM Leaderboards? 1:29:48

11 weeks ago1:29:48

1:29:48

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…

The Generative AI Meetup Podcast

1
Can AI uncook an egg? 1:23:52

12 weeks ago1:23:52

1:23:52

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…

The Generative AI Meetup Podcast

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Vibe Coding, Claude 3.7, GPT 4.5, and Alexa+ 1:19:36

13 weeks ago1:19:36

1:19:36

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…

The Generative AI Meetup Podcast

1
The Path to AGI: Grok 3, Quantum Breakthroughs, and Humanoid Robots 1:43:26

14 weeks ago1:43:26

1:43:26

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…

The Generative AI Meetup Podcast

1
The $6 Reasoning Model: Breaking Down Stanford's S1 Paper 1:17:02

15 weeks ago1:17:02

1:17:02

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…

The Generative AI Meetup Podcast

1
Elon's $100B OpenAI Takeover Bid 49:41

15 weeks ago49:41

49:41

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…

The Generative AI Meetup Podcast

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A deep dive into DeepSeek R1 - What YOU Need to Know 1:13:10

17 weeks ago1:13:10

1:13:10

🔥 NVIDIA's Stock Crash & The DeepSeek Revolution: What You Need to Know In this episode, we dive deep into the recent NVIDIA stock crash and how DeepSeek, a groundbreaking AI model from a Chinese hedge fund, is disrupting the entire AI industry. We break down: • Why DeepSeek R1's achievements are sending shockwaves through the tech world • How they achieved similar results to OpenAI at 1/1000th of the cost • Technical innovations behind DeepSeek's success • The future of edge computing and AI hardware • Impact on NVIDIA and the broader AI market Key topics covered: - DeepSeek's revolutionary approach to AI model training - CUDA, GPU architecture, and parallel computing explained - Market implications and investment opportunities - Edge computing predictions and the democratization of AI Join us for an in-depth technical discussion on how DeepSeek is transforming the economics of AI and what it means for the future of computing. #AI #DeepSeek #NVIDIA #TechNews #EdgeComputing #Investment…

The Generative AI Meetup Podcast

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Meet Dobby: Sentient's 85 million dollar AI That REFUSES To Play Nice! 57:50

18 weeks ago57:50