"Autopilot" with Will Summerlin

In this episode of Autopilot with Will Summerlin, Modern Intelligence CEO John Dulin discusses the vital role of AI for the future of U.S. military defense and intelligence. He dives into challenges like integrating AI with legacy systems, his contrarian vision for building the foundational AI platform for national security, initiatives like JADC2 and scaling human ISR analysts with AI. John also shares his journey from physics to machine learning at GRAIL before starting Modern, compares U.S. and Chinese AI progress, selling software to the DoD, and his priorities if he was President for leading in military AI. A must-watch for anyone interested in AI's impact on national security. This show is a part of the Turpentine podcast network. Learn more: www.turpentine.co LINKS: https://www.modernintelligence.ai/ X/SOCIAL: @WillSummerlinAI @JohnDDulin TIMESTAMPS: (00:00:00) - The vision for AI in defense (00:01:28) - Introducing Autopilot: The AI and Automation Podcast (00:02:03) - Guest introduction: John's journey to founding Modern (00:02:26) - From biotech to defense: A founder's path (00:05:29) - The evolution of defense tech and AI's role (00:06:26) - The challenges and opportunities in defense AI (00:15:33) - Building the future of ISR with AI (00:35:12) - Navigating the defense industry: Insights and advice (00:43:43) - Visionary leadership: Transforming defense with AI (00:49:44) - Closing thoughts and how to connect

In this episode, Will sits down with Maggie Sin, the CEO and Co-founder of MyCompanions.ai. She shares her journey from being an influencer to leveraging AI to address the pain points in fan engagement and monetization, ethical considerations, how current engagements are being outsourced to the Philippines, mental health and the loneliness pandemic, and more.  This show is a part of the Turpentine podcast network. Learn more: www.turpentine.co X/SOCIAL: @WillSummerlinAI (Will) @MaggieSin (Maggie) @MyCompanionsAI @TurpentineMedia LINKS https://mycompanions.ai/ TIMESTAMPS: (00:00) Exploring the creator economy and AI's role (01:07) Welcome to Autopilot: The AI and Automation Podcast (01:54) Maggie's journey: From influencer to AI entrepreneur (04:07) The evolution of social media and creator-fan interaction (06:30) Current state of engagements being outsourced to Philippines (11:42) The future of AI in enhancing creator-fan engagement (19:15) Voice and video: The next frontier in AI interaction (32:06) The mental health debate: AI's impact on social media addiction and loneliness (35:37) Closing thoughts and where to find more

In this episode, Will interviews Jordan Domash, Cofounder and CEO of Responsiv AI. They discuss Responsiv’s data advantage, the use of AI in legal 15 years ago to now, document relevancy classification before AI, how Responsiv helps accelerate research for in-house legal teams, and much more. This show is a part of the Turpentine podcast network. Learn more: www.turpentine.co LINKS https://responsiv.ai/ X/SOCIAL: https://twitter.com/WSummerlinAI https://www.linkedin.com/in/jordandomash https://www.linkedin.com/company/responsiv-ai/ CONTACT: jordan@responsiv.ai TIMESTAMPS: (00:00) Welcome (00:35) Jordan’s Background (01:15) E-discovery for Legal Tech (02:07) Relativity’s Customer Base (02:56) Comparing the use of AI 15 years ago from now (04:57) Document relevancy classification before AI (06:01) Why are companies hesitant to adopt e-discovery? (10:46) Driving the 30% increase in legal spend (13:55) How companies spend legal budgets between internal legal teams and external law firms (15:49) What problem is Responsiv trying to solve? (18:06) Case studies with Responsiv (22:04) How Responsiv differs from ChatGPT or Perplexity (23:42) High stakes situation (24:04) Responsiv’s data advantage (25:18) What’s under the hood for Responsiv (26:48) Hallucinations in legal AI (28:17) How do you get customers comfortable with using legal AI (29:40) Will Responsiv be the standard in legal? (32:13) Data advantage for a winner take all situation (33:47) GTM Strategy and Responsiv’s Client (36:04) The ROI of Responsiv vs using outside counsel (33:47) Incentive structure within law firms (43:42) AI Landscape: will GPT become vertical? (44:58) Advice Jordan would give to himself earlier in the founder journey (47:22) Advice for selling into legal (51:03) Wrap

In this episode, Will sits down with Aaron Slodov, CEO and Cofounder of Atomic, a company using AI to automate tool and die creation in manufacturing. They discuss the challenges of modern manufacturing in the tool and die making field, the current significant waste generated by inefficient processes, and how Aaron seeks to merge AI with automation to expedite product manufacturing. LINKS: Atomic Industries: https://www.atomic.industries/ Atomic in TechCrunch: https://techcrunch.com/2023/12/04/atomic-industries-closes-17m-seed-to-exascale-americas-industrial-base/ Autopilot Ventures: https://apv.vc/ X/SOCIAL: @WillSummerlinAI @APhysicist (Aaron) TIMESTAMPS (00:00) Preview (02:02) Aaron Slodov’s Background (07:15) The birth and pivot of Remesh: From social platform to market research (18:16) What does the industry look like for tool and die makers? (19:01) Labour dynamics in tool industries (20:01) How does the manufacturing industry use tech today outside of Atomic? (21:48) Timeline for traditional tool and die maker to complete the design process (22:39) Incentives of buyers of tool and die products (25:13) What is a die cast? (25:42) Die casting’s 30-50% scrap rate (26:57) Atomic’s approach and how it differs from the traditional approach (29:52) How has AI enabled die creation? (35:52) Atomic’s physical factory in Michigan (40:39) Reflecting on venture and the catalyst for deep tech investing (45:00) Reflections on the founder journey (48:21) Wrap

In this episode, Will Summerlin interviews Sergiy Nesterenko, founder of Quilter (backed by Benchmark), a company that designs PCB circuitboards end-to-end using reinforcement learning. They discuss how current PCB boards are designed and how Quilter’s tech stack enables faster board design, what better circuit boards enable in the future, their GTM and where they are seeing most market pull right now, and much more.  LINKS: Quilter: https://www.quilter.ai/ Autopilot Ventures: https://www.apv.vc/ X/SOCIAL: @WSummerlinAI (Will) @sergiynest (Sergiy) @quitlerai (Quilter) TIMESTAMPS: (00:00) Sergiy’s Background (00:51) What Sergiy learned from SpaceX (02:14) Founding thesis of Quilter and Quilter’s journey (03:18) Where would one find circuit boards? (04:31) What is the process of designing a circuit board? (06:00) Design process today with Quilter (12:34) Quilter’s thesis and designing more complex circuits (13:19) How much are humans currently paid for board design (14:34) Labour dynamics in board design (15:23) Do most companies have board designers in house? (16:07) Incentive structure (17:37) What does a high performance circuit board look like vs low performance? (21:30) Quilter’s technology stack (23:59) How Quilter can grow with scale? (26:45) Where is circuit manufacturing happening (32:40) What other parts of knowledge work can be solved with reinforcement learning (33:58) GTM and who Quilter is selling to (35:43) Pricing (36:59) Where Quilter is seeing the most market pull right now (38:16) What makes Quilter an exciting company to work at or invest (40:33) The effects of closed research in private companies for the industry (40:33) Open source vs closed source (44:26) What Sergiy would advise to himself in his early founder (46:54) What drew Sergiy to working with Benchmark (48:27) Wrap