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"Autopilot" with Will Summerlin
"Autopilot" with Will Summerlin
Author: Will Summerlin | Turpentine
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Description
The podcast discusses the past, present, and future of automation and its impact on our biggest industries. Guests include Sergiy Nesterenko of Quilter, Aaron Slodov from Atomic, and Jordan Domash from Responsiv. Host Will Summerlin is the Founder and Managing Partner at Autopilot.
This podcast is part of the Turpentine podcast network. Learn more: turpentine.co
12 Episodes
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In this episode of the Autopilot podcast, Surojit Chatterjee, founder of Ema AI, former Chief Product Officer at Coinbase and ex-Google VP, discusses the future of AI employees in enterprise. He explores how Ema's AI employees can boost productivity for any role and any company by automating mundane tasks. Surojit draws parallels to past technological shifts, emphasizing the current phase shift as an opportunity for startups to overtake incumbents, and shares his vision for a more productive and imaginative future.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
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🎙️ Unpack Pricing - Dive into the dark arts of SaaS pricing with Metronome CEO Scott Woody and tech leaders. Learn how strategic pricing drives explosive revenue growth in today's biggest companies like Snowflake, Cockroach Labs, Dropbox and more.
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LINKS:
https://ema.co/
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X/SOCIAL:
@WillSummerlinAI (Will)
@surojit (Surojit)
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TIMESTAMPS:
(01:13) Intro
(01:24) Journey to building Emma
(03:31) Will Google be enriched or threatened by AI?
(06:01) Ema: The AI Employee
(09:38) Horizontal vs Vertical approach in AI
(13:40) Use cases and value creation with Emq
(16:01) Measuring the productivity boosts
(18:02) Pricing model
(20:15) AI’s impact on the labor force
(25:30) Advice for starting a career
(27:43) Wrap
In this episode, Will Summerlin is joined by Lin Qiao who shares her journey from leading the PyTorch team at Meta to founding Fireworks, a company focused on specialized, customized AI models for enterprise companies and startups. They explore the challenges of training and inference costs in building AI infrastructure, the potential of multimodal models, and the strategic shift from 'one model fits all' to a diverse set of specialized models. They also cover how to think about efficiency in model deployment, the advantages of open-source vs. closed-source and why her philosophy is opposite to OpenAI's.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
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LINKS:
https://fireworks.ai/
X/SOCIAL:
@WillSummerlinAI (Will)
@lqiao (Lin)
TIMESTAMPS:
(00:00) Preview and Intro
(02:22) From Meta to Building Fireworks AI
(04:29) Challenges and Innovations in AI at Scale
(06:53) Navigating the Tidal Wave of Generative AI
(08:27) The Evolution from Large to Specialized Models
(16:30) Open Source vs. Closed Source
(31:33) Optimizing AI from Training to Inference Costs
(37:54) The Future of Customization
(44:48) Customer Obsession
(46:20) Wrap
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.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
This show is a part of the Turpentine podcast network. Learn more: www.turpentine.co
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Spotify: https://open.spotify.com/show/3Mos4VE3figVXleHDqfXOH
Apple: https://podcasts.apple.com/id1753399812https://podcasts.apple.com/id1753399812
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
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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.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
This show is a part of the Turpentine podcast network. Learn more: www.turpentine.co
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The AI Daily Brief If you’re looking for an edge to stay up to date on everything AI, subscribe to Nathaniel Whittemore's AI Daily Brief which delivers tight episodes covering all things AI from legislation to new technologies to the philosophical debates around generalized intelligence.
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Apple: https://podcasts.apple.com/us/podcast/the-ai-daily-brief-formerly-the-ai-breakdown/id1680633614
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Spotify: https://open.spotify.com/show/3Mos4VE3figVXleHDqfXOH
Apple: https://podcasts.apple.com/id1753399812https://podcasts.apple.com/id1753399812
LINKS
https://responsiv.ai/
X/SOCIAL:
https://twitter.com/WSummerlinAI
https://www.linkedin.com/in/jordandomash
https://www.linkedin.com/company/responsiv-ai/
CONTACT:
[email protected]
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
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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.
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Apple: https://podcasts.apple.com/id1753399812https://podcasts.apple.com/id1753399812
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
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