An unfiltered conversation with Sahil Lavingia, CEO of Gumroad Logan Kilpatrick 2025-06-21 | Join Nolan Fortman and Logan Kilpatrick for a conversation about AI, the future of work, autonomous coding agents, and more with Sahil Lavingia, the CEO and founder of Gumroad & Antiwork. Sahil has been a builder for over 10 years, initially raising a small VC round then series A for Gumroad and is now building as an AI first product company. It was awesome to hear about the transition from him, how him and the team make product bets, and hot takes on AI coding : ) 00:00 Introduction to Sahil and Gumroad03:11 The Anti-Work Philosophy and New Ventures05:57 Building Under the Anti-Work Umbrella08:58 AI as a Productive Partner11:49 The Role of AI in Software Development15:14 Scaling AI Collaboration18:06 The Future of Work and AI20:55 Prompt Engineering and Its Importance23:50 Navigating the Changing Landscape of Work32:35 The Art of Prompt Engineering41:55 Navigating the Future of Work and AI51:16 AI's Impact on the Creator Economy56:42 Personal Tech Stack and Future AspirationsNote: This episode was done in Logan and Nolan's personal capacity, and is not affiliated with their employers in any way.
Start building your next AI app for free in Google AI Studio!! Logan Kilpatrick 2025-10-22 | Introducing the new AI first vibe coding experience in Google AI Studio! Built to take you from prompt to production with Gemini, and optimized for AI app creation. Start building AI apps for free : ) More updates and features to come! Get started at https://ai.studio/buildThumbnails created by Nano Banana through an AI Studio vibe coded app, the prompt was: "Build me a youtube thumbnail generator using Nano Banana where I can put in my headshot and make new thumbnails with different text and vibes iteratively"
An unfiltered conversation with Matan Grinberg, CEO of Factory AI Logan Kilpatrick 2025-07-23 | Join Nolan Fortman and Logan Kilpatrick for a conversation with Matan Grinberg, CEO of Factory AI, about the future of software development, the launch of Factory, the challenges of scaling up autonomous coding agents, and the pivot that led to Factory building Droids.Chapters00:00 Factory's Mission and Vision02:25 Expanding the Developer Audience05:25 Understanding the Droids08:22 Enterprise Use Cases and Adoption12:17 Balancing Delegation and Control15:24 Training the Droids17:25 Enterprise First Approach20:13 Future Expectations and User Experience23:14 Unexpected Use Cases and PM Engagement26:39 The Evolution of Droid Naming and Personality29:24 Impact of Model Progress on Developer Behavior33:26 The Future of Product Velocity and Developer Taste37:27 Balancing Speed and Quality in Product Development41:14 Unlocking New Capabilities in AI Models43:23 Overcoming Initial Challenges and Finding Success48:24 Looking Ahead: The Future of Developers and AICheck out Factory AI and Droids: factory.ai
An unfiltered conversation with Brett Adcock, CEO of Figure AI Logan Kilpatrick 2025-07-05 | Join Nolan Fortman and Logan Kilpatrick for a conversation with Brett Adcock, CEO of Figure AI, a general purpose robotics company. We talk about how robotics are the ultimate deployment vector of AGI, the challenges of robotics, and the timeline until home robots hit mainstream.00:00 Introduction and Setting the Stage03:18 The Exponential Growth in Robotics05:18 The Vision Behind Humanoid Robots08:12 Challenges in Hardware Development11:11 Adoption Challenges and Market Focus14:27 Learning and Improvement in Robotics17:15 Future Directions and Scaling Robotics26:15 The Future of Robot Integration31:34 Designing Trustworthy Robots37:02 Privacy and Cybersecurity in Robotics45:36 The Role of Superintelligence in Society50:29 A Vision for 2025 and Beyond
An unfiltered conversation with Anjney Midha, General Partner at A16Z Logan Kilpatrick 2025-06-02 | Join Nolan Fortman and Logan Kilpatrick as they sit down with legendary investor and builder Anjney Midha to chat all things AI. From foundation model progress, to evals, to how to find the next generation of AI enabled products, Anjney shares his deep insights around AI as one of the critical figures in the ecosystem.Chapters00:00 The Evolution of AI Models and Open Source Alternatives09:54 Discord as a Launchpad for AI Innovations19:47 Evaluating AI Reliability and Real-World Applications31:57 Understanding User Retention and Engagement35:05 The Evolution of AI Product Development41:09 The Changing Landscape of ARR and Retention Metrics49:41 Barbell Demand in AI: Solo Consumers vs. Enterprises54:40 Personal Tech Stack and Future PredictionsThis conversation represents Nolan and Logan's personal views, not that of their employers.
An unfiltered conversation with Eric Simons, CEO of Bolt.new Logan Kilpatrick 2025-04-23 | Join Nolan Fortman and Logan Kilpatrick for a deep dive into the story of Bolt.new (Stackblitz) with founder and CEO Eric Simons. We talk about Bolt.new as the overnight success 7 years in the making, why vibe coding is here to stay, scaling from $0 to $20M to now $40M ARR, the the future of software creation.Get started vibe coding: https://bolt.new/, sign up for the Bolt.new hackathon: https://hackathon.dev/Find Eric and Logan on X / Twitter: https://x.com/EricSimons + https://x.com/OfficialLoganKLearn more about Around the Prompt: aroundtheprompt.comChapters00:00 The Journey to Success: Seven Years in the Making07:34 Understanding the User Base: Beyond Developers10:29 Evolving Product Vision: Catering to Non-Developers15:03 The Power of a Lean Team: Scaling with Fewer Resources20:25 Future of Value Creation: From Product to Full Company Creation27:07 The Importance of Prompt Engineering30:44 User Experience and Accessibility in AI Tools36:17 Deployment and Integration Simplified38:37 Competitive Advantages of Bolt41:55 Market Awareness and Growth Strategies45:09 Personal Tech Stack and Future AspirationsNote: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
An unfiltered conversation with Mehul Nariyawala, Co-founder of Matic Robots Logan Kilpatrick 2025-04-16 | Join Nolan Fortman and Logan Kilpatrick for a conversation about the future of home robotics with Matic CEO Mehul Nariyawala. We dive deep into the challenges of on-device AI, scaling robot production in America, where humanoids are going, and more! 00:00 Introduction to Matic Robotics02:52 Challenges in Scaling Robotics Technology05:59 Vision-Only Robotics: The Matic Approach09:03 Mapping and Navigation in Indoor Environments11:55 User Experience and Product Design Intentions14:54 Edge Computing and Privacy Considerations17:46 Cost Efficiency in Robotic Intelligence21:11 The Evolution of Robotics Technology23:58 Future Capabilities and User Expectations28:18 The Evolution of Robotics and Safety29:04 Software vs. Hardware in Robotics31:21 Continuous Improvement and User Experience33:09 Personalization in Home Robotics36:11 Scaling Challenges in Robotics39:26 Minimum Lovable Product in Hardware41:20 Consumer vs. Industrial Robotics45:24 The Future of Robotics Adoption53:09 Tech Stack and Future AspirationsCheck out more episodes at aroundtheprompt.comNote: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
An unfiltered conversation with Dwarkesh Patel Logan Kilpatrick 2025-03-19 | Join Nolan Fortman and Logan Kilpatrick for a deep conversation with Dwarkesh Patel, host of the Dwarkesh podcast, and one of the 2024 TIME most influential people in AI. We chat about how the world is going to change with AI in the next 2 years, infinite AI dimensionality, creating content for the AI world, human authenticity in the age of AI, and learning with AI! Check out this conversation on Apple podcasts: podcasts.apple.com/us/podcast/around-the-prompt/id1738315630Read Dwarkesh's post on autonomous AI firms: dwarkesh.com/p/ai-firmObsidian smart composer (Cursor for writing): github.com/glowingjade/obsidian-smart-composerChapters00:00 The AI Moment: Understanding Its Significance02:59 Medium Matters: The Role of Podcasts and Blogs05:58 Authenticity in AI-Generated Content09:06 The Future of Fully Automated Firms11:59 Explosive Growth and AI's Potential14:56 Navigating the AGI Landscape17:57 Insights from Conversations: Shaping Worldviews20:49 The Risks of Rapid AI Development26:12 The Origins of LLM Research29:03 Economic Incentives in AI Development31:12 Consumer Use Cases for AI35:46 Trust in AI and Robotics39:59 The Future of Work and AI's Impact on Society44:30 Government's Role in AI DevelopmentNote: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
An unfiltered conversation with Thomas Dohmke, CEO of GitHub Logan Kilpatrick 2025-03-03 | Join Nolan Fortman and Logan Kilpatrick for a deep dive on the world of coding with GitHub CEO Thomas Dohmke. We chat about:- Personal software creation using AI- Open source in the age of AI- AI enabling coding changing how developers work- Agents...and much more! Thomas is leading the charge for one of the world's most important developer companies. I hope you enjoy the conversation as much as we did! Listen on Apple podcasts or wherever you listen: podcasts.apple.com/us/podcast/around-the-prompt/id1738315630Note: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
You can build you next AI App with Gemini, for free, in less than 90 seconds... Logan Kilpatrick 2025-02-28 | You can get 1,500,000,000 tokes for free everyday with the Gemini API and Google AI Studio. Get started at aistudio.google.com, get your API key in 3 clicks, and then head to the Gemini API docs: https://ai.google.dev/gemini-api/docs to explore pricing, rate limits, more verbose examples for some of our key features and more. There has never been a better time to build with Gemini. If you run into any issues or have questions, email me: lkilpatrick@google.com or send me a DM on Twitter: twitter.com/OfficialLoganKIt's time to build!
An unfiltered conversation with Alex Atallah, CEO of OpenRouter Logan Kilpatrick 2025-02-17 | Listen to a conversation with Alex Atallah, the CEO of OpenRouter, along with Nolan Fortman and Logan Kilpatrick. The conversation covers:- The start of OpenRouter - Open vs Closed models- Why AI usage is the ultimate metric for us- How to compare different models in production- How to rank modelsAnd much more! Check out Around the Prompt on Apple Podcasts: podcasts.apple.com/us/podcast/around-the-prompt/id1738315630We recorded this episode a few months ago and for various reasons (mostly Nolan and Logan being too busy shipping stuff to work on this show), have waited to release it. Alex's point of view is timeless and actually speaks to his point of view that everything talked about is even more relevant today now.00:00 Inspiration for OpenRouter05:40 Who uses OpenRouter10:53 Why is model routing hard19:15 AI vs Crypto Industries32:46 Where does OpenRouter go next?38:08 AI and Crypto Hype44:06 2025 predictionsNote: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
An unfiltered conversation with Chamath Palihapitiya Logan Kilpatrick 2025-02-11 | Join Nolan Fortman and Logan Kilpatrick as they dive into an unfiltered conversation with Chamath Palihapitiya, covering:- open source AI- the massive compute buildout- where the AI value creation is- how to build for the age of AI- deepseek- and much more! Follow around the prompt on Apple Podcasts for more content like this: podcasts.apple.com/us/podcast/around-the-prompt/id1738315630Head to aroundtheprompt.com for more info.Note: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
Simon Willison: The Future of Open Source and AI | Around the Prompt #10 Logan Kilpatrick 2024-12-01 | In this conversation, Simon Willison discusses the intersection of AI, Open Source, and journalism, emphasizing the importance of tools like Dataset in enhancing data journalism. He reflects on his journey from developing Django to his current work with AI, highlighting the role of open source in software development. Willison shares insights on how AI can augment human capabilities rather than replace them, and he expresses concerns about the future of AI, particularly regarding AGI. The discussion also touches on the evolving landscape of programming and the need for better onboarding processes for new developers.Follow Simon on Twitter: https://x.com/simonw and enjoy the conversation :)Note: This video reflects the personal views of Logan and Nolan and does not represent the views of their employers (past, present, or future).
Shreya Rajpal: Guardrails AI, AI Production Challenges, & AI Reliability | Around the Prompt #9 Logan Kilpatrick 2024-09-30 | Join Logan Kilpatrick and Nolan Fortman for a discussion with Shreya Rajpal that covers the inception and evolution of Guardrails, a tool designed to enhance reliability in AI applications. She emphasizes the importance of AI validation, the challenges of moving from proof of concept to production, and the organizational buy-in required for implementing such tools. The discussion also touches on the role of open source in AI development, the competitive advantages it provides, and the parallels between self-driving technology and AI systems. Shreya shares insights on real-world use cases, the introduction of Guardrail Server, and the future of AI regulation, highlighting the need for benchmarks and the importance of understanding the risks associated with generative AI.A few of our favorite Sound Bites:"Guardrails started as a form of building reliability.""AI development is very much like traditional software development.""The long tail is brutal in machine learning."00:00 Introduction and Audience00:13 The Inspiration for Guardrails and its Evolution05:00 Last-Mile Work in Generative AI13:14 The Importance of the Open-Source Community16:56 Maintaining a Competitive Advantage with Open Source19:04 Lessons from the Self-Driving Industry22:29 The Importance of Guardrails in AI Systems23:25 The Role of Interface Design in AI Adoption25:35 Preventing Failures and Mitigating Risks with Guardrails34:34 Introducing Guardrail Server36:58 The Challenges of Implementing Guardrails39:08 AI in Robotics: Opportunities and Challenges41:11 Advice for Those Working in the AI Space43:28 The Personal Tech Stack of Shreya Rajpal48:32 The Need for Better Benchmarks in the AI Ecosystem
Quinn Slack: Sourcegraph, AI Coding, and Cody | Around the Prompt #8 Logan Kilpatrick 2024-08-19 | Join Logan and Nolan in a deep dive into the world of AI coding with Quinn Slack, the CEO of Sourcegraph.Highlights:"We wanted to have some kind of code search like Google for code.""Search and AI chat really blur together. From the user's perspective, what they want is a box that they can type shit into and it solves their problems.""GitHub has the world's code. Why would we want to compete against GitHub? And I think now they're actually seeing a bunch of sort of co-pilot level competitors.""I think you're going to see that increase... we could have everyone coding or at least conjuring up code.""You got to make it work manually first before you introduce any kind of magic.""It is very likely that we'll end up with like many... one person billion dollar companies."00:00 Introduction and Background01:59 The Conviction Behind Code Search05:06 The Blurring of Search and AI Chat09:01 GitHub's Dominance and the Emergence of Copilot18:12 The Value of AI Assistants for Programmers24:34 The Role of Leadership in Driving Code AI Adoption27:46 The Future of AI Tools and the Increase in Software Developers32:45 The Importance of Context in AI Tools and the Need for Open Standards51:32 The Hype and Concerns Surrounding AGI
Andrew Mayne: Prompt Engineering, Joining OpenAI, & Shark AI | Around the Prompt #7 Logan Kilpatrick 2024-06-19 | Andrew Mayne shares his non-traditional journey into AI, from being a magician and illusionist to becoming a science communicator at OpenAI. He discusses his early experiences with AI as a child, his interest in robotics and AI, and his fascination with chatbots. Andrew also talks about his experience using AI to deceive great white sharks and how it led him to explore the capabilities of text models like GPT-2 and GPT-3. He emphasizes the importance of prompt engineering and the need to carefully craft prompts to get desired outputs from the models. Andrew Mayne emphasizes the importance of having a clear idea of the desired output and breaking down complex tasks into manageable steps. He shares his experience in teaching magic tricks and how it helped him in prompt engineering. Mayne discusses the evolution of prompt engineering and the challenges and hype surrounding it. He also talks about his personal tech stack and the tools he uses for writing, coding, and research. Mayne expresses his excitement about the accessibility of AI models and the potential impact of AI in education. He also discusses his concerns about deep fakes and the need for trust and authentication in communication.00:00 The Future of Prompt Engineering and Model Capabilities34:26 Exploring the Trial and Error Process in AI Development37:11 The Impact of Generative AI on Publishing and Education41:23 The Proliferation of Open Source AI Models48:15 Challenges and Concerns Related to Deep Fakes01:02:11 The Future of AI in Employment and Human Value
Marily Nika: AI Product Management, Building AI Products, & MetaAI | Around the Prompt #6 Logan Kilpatrick 2024-06-15 | In this episode, Logan Kilpatrick and Nolan Fortman dive deep into building AI product's with Marily Nika, a lead product manager at Google. We explore how AI on its own is not a product. AI product managers act as a bridge between AI and user needs. The role of AI product managers is to solve the right problems for users by leveraging AI capabilities. The demand for AI product managers is increasing, with companies like Anthropic and OpenAI actively hiring for these roles. AI product managers need to be comfortable with technology and have a good understanding of AI concepts and options. They also need to collaborate with scientists and engineers to make informed decisions about technical approaches. And much more!Chapters00:00 Introduction to AI Product Management03:32 Technical Skills for AI Product Managers04:20 Similarities and Differences in AI Product Management05:36 The Future of AI Product Management07:24 Challenges Faced by AI Product Managers09:50 Ethics and Privacy Considerations in AI11:46 Transition to AI Educational Sector14:36 Product Management Culture in Different Companies19:05 Evaluating the Potential and Feasibility of AI Projects21:30 Metrics for AI Product Success23:26 Impact of Academic Research Background25:23 Getting Started in AI Product Management28:41 The Role of AI Product Managers in the Future31:04 Lessons Learned and Hard Challenges33:03 Tools and Resources for AI Product Managers35:46 Enhancing Human Creativity with AI38:04 Integration of AI into Experiences40:51 Considerations for Building AI Systems for Global Audiences42:14 Exciting and Cautious Aspects of AI in 2024
Ben Tossell: AI Automation, Bens Bites, Makerpad, & Low / No code AI | Around the Prompt #5 Logan Kilpatrick 2024-06-02 | In this conversation, Ben discusses the intersection of low/no code tools and AI. He shares his experience in the low/no code space and how it relates to the current trends in large language models (LLMs) and AI. Ben highlights the democratization of software development and the ability for non-technical founders to build functional products using low/no code tools. He also explores the suitability of different industries for low/no code tools and the potential for AI integration. The conversation concludes with a discussion on the creation of MakerPad using low/no code tools and the benefits it offers to individuals without coding experience. Ben Tossell discusses his journey of building Makerpad, a tutorial platform for no-code tools, and its acquisition by Zapier. He shares his transition to a lifestyle business and the launch of Ben's Bites, an AI-focused newsletter. Ben also talks about his investments in AI startups and the challenges startups face when competing with large organizations. He highlights exciting companies in the AI space.Chapters00:00 Introduction01:41 Background on Ben's Bites03:26 The Intersection of Low/No Code and AI04:06 Commonalities between Low/No Code and AI05:39 Suitable Industries for Low/No Code Tools06:51 Transition from Low/No Code to AI09:17 Specific Use Cases for Low/No Code Tools11:44 The Role of Low/No Code in MVP Development12:21 The Viability of End-to-End Software Automation15:27 Creating MakerPad with Low/No Code Tools18:20 Transitioning to a Lifestyle Business19:39 Acquisition by Zapier22:09 Starting Ben's Bites and Expanding into AI25:15 Investing in AI Startups31:45 Challenges for Startups Competing with Large Organizations39:31 Exciting Companies in the AI Space
Conor Grennan: AI Mindset, NYU GenAI, & Practical AI | Around the Prompt #4 Logan Kilpatrick 2024-05-27 | Join Logan Kilpatrick and Nolan Fortman as we dive deep into how having an AI-first mindset is one of the key enablers for the broad adoption of AI. Conor has trained hundreds of thousands of people to use AI and currently serves as the head of generative AI at NYU Stern. Takeaways- Stay out of the AI bubble and understand how people outside of the tech industry think.- Simplify technical terms and focus on real-life applications when explaining AI to non-technical individuals.- Grennan's AI productivity stack includes tools like perplexity and fine-tuned models.- He is excited about the personalization capabilities of AI and its potential to transform content creation.- Grennan expresses concern about the challenges posed by deepfakes and the need to educate vulnerable populations about AI. Demystifying AI is crucial for successful implementation, and leadership and culture play a significant role in this process.- Non-technical backgrounds can provide an advantage in understanding the potential of AI and breaking down preconceived notions.- Staying informed about AI requires reading newsletters, listening to podcasts, and following experts on platforms like Twitter.- AI implementation in academia faces challenges, but faculty can adapt their teaching methods to incorporate AI effectively.- Small teams and organizations with a strong learning and trust culture tend to see tangible returns from AI implementation.- Integrating AI in organizations requires reframing the mindset and setting new benchmarks for productivity and quality.Chapters00:00 Challenges of Non-Technical Training and Demystifying AI07:49 The Art of the Possible: Understanding AI's Potential16:39 Addressing Challenges of AI Adoption in Academia30:53 The Future of English Majors in the AI Era33:47 AI and Management: Augmenting Human Capabilities38:05 Implementing AI in Organizations: Challenges and Opportunities42:41 Newsletters and AI Education: Informing the Masses50:38 Deepfakes and the Risks in Elections and the Elderly Population
Jerry Li: AI Community Superintelligence, Gradual & AI Communities | Around the Prompt #3 Logan Kilpatrick 2024-05-21 | Jerry is the CEO of Gradual, a community platform, and is seeing the front line of how AI is effecting both online and in-person communities. We are in uncharted waters and in this conversation, we explore how AI might impact these communities, why AI could lead to more sustainable online spaces of gathering, and much more.SummaryGradual was born out of the ELC community, a community of engineer leaders. Gradual started as an internal tool for the community but eventually became its own product. The platform uses AI to provide personalized and timely experiences for community members. AI enables knowledge sharing and retrieval, making it easier for community members to find the information they need. Gradual is used by both established organizations and emerging companies to build and grow their communities. The platform empowers local moderators and volunteers, and helps companies organize and support external contributors. Gradual aims to create a unified experience for community members and is working on building a community of communities on its platform. The conversation explores the changing needs of communities over time and the impact of AI tools on community interactions. It also discusses the shift in community engagement during the pandemic and the importance of in-person connections. The conversation highlights the value of post-event engagement and the role of Gradual in facilitating ongoing community conversations. It touches on the future of community building, the potential of AI-powered virtual moderators, and the need for companies to invest in community. The conversation concludes with a discussion on the positive and negative impacts of AI in community building.Chapters00:00 The Birth of Gradual: From Internal Tool to Standalone Product03:31 AI-Powered Personalized Experiences in Community Building10:56 Community Superintelligence: The Future of Community Building13:42 The Role of Community in Building Successful Companies16:29 Creating a Unified Experience for Community Members25:16 The Impact of AI Tools on Community Interactions27:32 The Shift in Community Engagement during the Pandemic28:30 The Importance of In-Person Connections29:56 Facilitating Post-Event Engagement with Gradual33:16 The Future of Community Building36:27 Empowering Individuals in Companies41:30 Investing in Community Building and Trust43:48 Using AI to Understand and Serve Individual Needs
Yohei Nakajima: BabyAGI, AI Agents & AI Investing | Around the Prompt #2 Logan Kilpatrick 2024-05-11 | Join Logan Kilpatrick and Nolan Fortman as we dive deep into the future of AI Agents, how they will Affect businesses, developers, and the world.Yohei is one of the deepest thinkers in the world of AI agents, as the creator of Baby AGI and the backer of many companies in the agent space. I hope you all enjoy this conversation as much as Nolan and I did.Takeaways- Building AI tools for venture capital can provide value to founders and investors.- The future of AI in venture capital lies in the development of autonomous agents and the integration of AI into VC workflows.- Verticalized AI solutions can capture value quickly by addressing specific tasks and industries.- The adoption of AI in organizations requires a mindset shift and a focus on empowering employees rather than replacing them.- The AI landscape is constantly evolving, and there is still much to be explored and developed. Location can have an impact on attending events and the fear of missing out (FOMO). Being in a different location can provide a different perspective and prevent exhaustion from attending too many events.- Vector databases play a crucial role in enabling AI applications, particularly in semantic search. There is a growing number of companies providing vector database solutions, but there is still room for improvement in fine-tuning embeddings for specific use cases.- Knowledge graphs were gaining traction before the rise of large language models. However, there is potential for knowledge graphs to be integrated with AI and solve complex problems.- The decision to go open source or closed source depends on various factors, including the team's unique strengths, target market, and business goals. It is a strategic decision that reflects the values and philosophy of the company.- Building in public can be a strategic decision that aligns with a company's values and philosophy. It can help gain attention, work with other developers, and establish credibility.- There is a mix of experienced founders and new founders in the AI space. Both have their advantages, with experienced founders bringing valuable expertise and new founders bringing fresh and innovative ideas.- Yohei expresses optimism for the future of AI and technology, hoping to see advancements in autonomous agents, knowledge graphs, and passive AI. He looks forward to the progress and exciting ideas that will emerge in the coming years.Chapters00:00 The Inspiration and State of BABY AGI04:09 AI Tools in Venture Capital09:03 Investing in Founders and Big Markets13:39 Innovation in Industries with AI15:00 Creating a Competitive Advantage for Startups23:24 Integrating Agents with Human Workers24:52 Vertical vs General Agent Solutions25:20 Vertical Use Cases vs General AI Agents29:32 Exploring New Interaction Paradigms39:19 Enabling Semantic Search with Vector Databases44:36 The Strategic Decision of Open-Sourcing Projects45:57 The Mix of Experienced Founders and New Founders
Jeremy Howard: AnswerAI, FastAI, Fine-tuning & AI recruiting | Around the Prompt #1 Logan Kilpatrick 2024-03-27 | Join Logan Kilpatrick and Nolan Fortman as we dive into a conversation with Jeremy Howard on:- Why Jeremy created a new startup AswerAI- Why fine-tuning is still underrated- How attracting the world's best AI talent requires global and remote hiring- What the future for FastAI will look like- Building AI community And so much more. This was an immensely inspiring and thoughtful conversation that Nolan and I are excited to bring to the world. We will be sharing many more of these conversations under the "Around the Prompt" umbrella, stay tuned!00:00 Introduction and Background01:11 Transition from Fast AI to Answer AI03:35 Exploring the Potential of AI04:28 Different Approaches to Applied Research05:27 Creating Answer AI as a Separate Entity06:30 Future of Fast AI07:34 Motivation and Persistence in Learning AI08:29 Takeaways from Fast AI Courses09:25 Challenges in AI Education10:44 Building Startups with AI Knowledge11:44 The Impact of Fast AI Courses12:44 The Gap in AI Applications13:37 Continuous Pre-training and Fine-tuning15:24 Entrepreneurship and Innovation in AI17:46 Hiring and R&D at Answer AI21:32 Access to AI Resources Worldwide23:55 Creating Opportunities for Brilliant Minds30:59 Continuous Pre-training and Extracting Value38:54 The Future of Fine-tuning40:15 Openness and Collaboration in AI40:58 AI for All and Avoiding Inequality
Why Langchain is important for every developer Logan Kilpatrick 2023-08-09 | LLM's (like ChatGPT) are taking the world by storm. Langchain is a new open source framework that allows users to build production LLM applications on top of existing LLM API's like OpenAI. This video is based on my popular blogpost on Langchain which you can check out on my blog: medium.com/@logankilpatrick/what-is-langchain-and-why-should-i-care-as-a-developer-b2d952c42b28
Everything you need to know about GPT agents (the future of AI) Logan Kilpatrick 2023-08-04 | Sharing my thoughts on GPT agents. Was this video made by AI?
