Artificial Specialized Intelligence, Executive Order on AI, Open Source AI | Douwe Kiela, cofounder and CEO of Contextual AI

Infinite Curiosity Pod with Prateek Joshi

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תוכן מסופק על ידי Prateek Joshi. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Prateek Joshi או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Biscuits & Jam

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Encore: Jessica B. Harris Believes in a Welcome Table 42:14

לפני 18 ימים42:14

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לייק

אהבתי

42:14

Episode Description: Jessica B. Harris may have been born and raised in New York City, but she has Tennessee roots through her father and has spent much of her life split between homes in the Northeast and the South – specifically New Orleans. For more than fifty years, she has been a college professor, a writer, and a lecturer, and her many books have earned her a reputation as an authority on food of the African Diaspora, as well as a lifetime achievement award from the James Beard Foundation. A few years back, Netflix adapted her book, High on the Hog: A Culinary Journey from Africa to America , into a 4 part docuseries. And I’m very proud to say that she’s a longtime contributor to Southern Living with a regular column called The Welcome Table. This episode was recorded in the Southern Living Birmingham studios, and Sid and Jessica talked about her mother’s signature mac and cheese, the cast-iron skillet she’d be sure to save if ever her house were on fire, and her dear friend, the late New Orleans chef Leah Chase. For more info visit: southernliving.com/biscuitsandjam Biscuits & Jam is produced by : Sid Evans - Editor-in-Chief, Southern Living Krissy Tiglias - GM, Southern Living Lottie Leymarie - Executive Producer Michael Onufrak - Audio Engineer/Producer Jeremiah McVay - Producer Learn more about your ad choices. Visit podcastchoices.com/adchoices…

לפני שנתיים 41:41

MP3•בית הפרקים

Douwe Kiela is the cofounder and CEO of Contextual AI, where they are building the next generation of foundation models that provide fully customizable, trustworthy, and privacy-aware AI. He is also an Adjunct Professor at Stanford. He was previously the Head of Research at Hugging Face and a research scientist at Meta. He has a PhD in Computer Science from the University of Cambridge.
In this episode, we cover a range of topics including:
- Open source vs closed source AI
- White House's Executive Order on AI
- Enterprise needs when it comes to LLMs
- The founding of Contextual AI
- What does RAG 2.0 look like for LLMs
- Large foundation models vs smaller specialist models
- Do Big tech companies have an unassailable lead in AI?
- Size of the data vs size of the model. What is more important and why?
- How will the AI compute market shape up?
Douwe's favorite books:
- The Lord of the Rings trilogy (Author: J.R.R. Tolkien)
- The Count of Monte Cristo (Author: Alexandre Dumas)
- Amp It Up (Author: Frank Slootman)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi

173 פרקים

#Tech #Prateek Joshi

Artificial Specialized Intelligence, Executive Order on AI, Open Source AI | Douwe Kiela, cofounder and CEO of Contextual AI

Infinite Curiosity Pod with Prateek Joshi

14 subscribers

published לפני שנתיים

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MP3•בית הפרקים

173 פרקים

#Tech #Prateek Joshi

כל הפרקים

1
Building an AI+Data Startup Studio | Tom Chavez, cofounder of super{set} 52:57

לפני 4 ימים52:57

52:57

Tom Chavez is the cofounder of super{set}, a startup studio that founds, funds, and builds data and AI startups. Prior to this, he was the CEO and co-founder of Krux, a martech platform acquired by Salesforce in 2016. Before Krux, he was the CEO and co-founder of Rapt, a provider of software for media monetization acquired by Microsoft in 2008. He went to Harvard for undergrad and Stanford for his PhD. Tom's favorite book: The Three Musketeers (Author: Alexandre Dumas) (00:01) Origin Story and Starting Superset (02:58) How Superset Evaluates Ideas and Risk (06:24) What Is a Venture Studio and How Superset Works (10:49) Underfunded Layers in AI Infrastructure (14:55) Orchestration Opportunities in LLM Workflows (15:49) The Future of Data Infra and ETL in the AI Era (20:46) Code Infra: Code Quality and AI-Generated Software (24:55) Model Infra, MLOps, and Why It’s Underwhelming (27:22) Cloud Economics and Gross Margins in AI Companies (32:15) Early Team Structure in AI Infra Startups (34:49) Full Stack vs Composable Infra in AI (37:52) Fragmentation vs Consolidation in AI Tooling (41:02) Where Moats Will Accumulate: Data In, AI, Data Out (45:10) Biggest Challenge in Building Superset (46:23) Rapid Fire Round -------- Where to find Tom Chavez: LinkedIn: https://www.linkedin.com/in/tommychavez/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Decentralized Data Foundry for AI | Rowan Stone, CEO of Sapien 38:22

לפני 10 ימים38:22

38:22

Rowan Stone is the CEO of Sapien, a decentralized data foundry where AI models can access verified human expertise worldwide. They've raised raised a $10.5M round led by Variant. He's also the co-creator of Coinbase's layer 2 network called Base. Rowan's favorite book: Outlive (Author: Peter Attia) (00:01) Introduction (01:09) The Flaws in Centralized Data Models (04:10) Mechanism of Knowledge Transfer and Expert Incentives (07:08) Supply, Demand, and Market Dynamics for Training Data (10:22) Chain of Thought Reasoning and 3D/4D Data Use Cases (12:22) Building the MVP: What Worked and What Didn’t (15:17) Acquiring the First Five Customers (17:59) What They Got Right and What They’d Change (20:15) How to Scale from Early Customers: Advice to Founders (22:02) Data Infrastructure Opportunities in 2025 (25:57) Designing AI-Native Databases (28:04) Biggest Startup Challenge: Messaging and Clarity (30:22) Future of Data Collection Mechanisms (2 to 5 Years Out) (32:07) Autonomous Vehicles and Demand for 4D Data (35:33) Emerging AI Use Cases: Memory, Wearables, and Robotics (36:19) Rapid Fire Round -------- Where to find Rowan Stone: LinkedIn: https://www.linkedin.com/in/rowan-stone/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Converting Cameras into Autonomous AI Agents | Rish Gupta, CEO of Spot AI 38:50

לפני 7 weeks38:50

38:50

Rish Gupta is the cofounder and CEO of Spot AI, a video AI platform for the physical world. They've raised $93M from amazing investors such as Scale, Bessemer, and Qualcomm Ventures. Rish's favorite book: Atlas Shrugged (Author: Ayn Rand) (00:01) Introduction (00:32) Video-AI basics: ingesting camera feeds across diverse networks (02:42) Edge-vs-cloud trade-offs for compute, storage, and bandwidth (05:40) Mapping the sector: hardware waves to cloud cameras to pure-software layer (07:43) Founding insight: why Spot AI attacked the video layer now (11:35) Bare-bones MVP: two-page dashboard that unified camera access (15:34) First-10-customer lessons & pruning the ideal customer profile (ICP) (18:54) Go-to-market experiments: ICP variants, pain points, and channels (23:00) Early-team blueprint: engineering-heavy, founders run sales (24:03) Hardware stance: free IP cameras to simplify one-vendor buying (26:01) Biggest tech hurdle: supporting thousands of camera brands & configs (27:00) Sales challenge: outbound fatigue forces novel GTM motions (28:55) Future vision: each camera becomes an autonomous AI agent with a "job" (30:25) Key AI unlock: massive context windows enabling flow-state reasoning (32:14) Rapid-fire round -------- Where to find Rish Gupta: LinkedIn: https://www.linkedin.com/in/profilerish/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Are AI Phone Agents Ready for Prime Time? | Alex Levin, CEO of Regal 45:21

לפני 8 weeks45:21

45:21

Alex Levin is the cofounder and CEO of Regal, a platform for AI phone agents. They've raised $82M from amazing investors such as Emergence Capital. Alex's favorite book: The PayPal Wars (Author: Eric M. Jackson) (00:01) Introduction (02:37) Evolution of customer contact tools and legacy players (06:02) Launching Regal: Origin story and early challenges (08:41) MVP strategy and problems worth solving (11:46) Lessons from 0 to 10 customers: Growth mistakes and hiring (16:13) Ideal early-stage team construction and hiring philosophy (19:06) Sequencing hires as company scales (20:58) What makes a good investor and how to leverage them (25:42) Best and worst experiments while building Regal (29:04) Internal use of AI at Regal across teams (31:49) The future of AI phone agents and near-term blockers (34:13) Rapid Fire Round -------- Where to find Alex Levin: LinkedIn: https://www.linkedin.com/in/alexlevin1/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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What it Takes to Build a BI Platform | Colin Zima, CEO of Omni 40:07

לפני 9 weeks40:07

40:07

Colin Zima is the cofounder and CEO of Omni, a data platform that combines the consistency of a shared data model with the speed and freedom of SQL. They recently raised their $69M Series B led by ICONIQ Growth. He was previously the Chief Analytics Officer at Looker. Colin's favorite book: Blink (Author: Malcolm Gladwell) (00:01) Introduction (01:10) What Is a Data Model and Why It Matters (03:27) Gaps in the Modern Data Stack (05:38) The Staying Power of SQL (07:29) Origin Story: Why Omni Was Created (10:13) Lessons from Building the MVP (12:48) Go-to-Market Insights: Zero to Ten Customers (16:02) Founder-Led Sales and Marketing Tactics (18:58) Company Building: Recruiting and Product Challenges (21:34) Product Positioning in a Crowded Market (23:26) Design Philosophy in Enterprise Software (28:21) Omni's Tech Stack and Development Strategy (28:57) Real-World Use of AI Inside the Company (31:01) Future of Data Tooling and Role of AI (33:49) Rapid Fire Round -------- Where to find Colin Zima: LinkedIn: https://www.linkedin.com/in/colinzima/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite X: https://x.com/prateekvjoshi…

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Building Billing Infrastructure for AI Companies | Alvaro Morales, CEO of Orb 38:21

לפני 9 weeks38:21

38:21

Alvaro Morales is the cofounder and CEO of Orb, a usage-based billing product for modern software companies. They've raised $44M to date from amazing investors such as Mayfield, Menlo Ventures, and Greylock. Alvaro's favorite book: Conversation in the Cathedral (Author: Mario Vargas Llosa) (00:01) Introduction (00:35) What is Usage-Based Billing? (02:27) Challenges in Metering Usage (04:14) Examples of Consumption-Based Products (05:49) Tools for Usage Metering and Billing (09:08) Founding Story and Validation of Orb (12:11) Building the MVP for a Billing System (14:48) Acquiring the First 10 Customers (18:33) Scaling Sales & Marketing After Initial Traction (21:09) Building the Team & Ideal Candidate Profile (23:26) Technology Stack Behind Orb (25:55) Real-Time Analytics vs Streaming for Billing (27:18) Other Key Components of Orb's Solution (28:38) Why Incumbents Haven’t Solved This Problem (31:09) How Orb Uses AI Internally (32:53) Most Exciting AI Advancements for the Future (34:30) Rapid Fire Round -------- Where to find Alvaro Morales: LinkedIn: https://www.linkedin.com/in/alvaro-morales/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite X: https://x.com/prateekvjoshi…

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Turning Legal Services to APIs | Jay Madheswaran, CEO of Eve 41:02

לפני 12 weeks41:02

41:02

Jay Madheswaran is the cofounder and CEO of Eve, a legal AI platform for plaintiff law firms. They recently raised their $47M Series A from Andreessen Horowitz, Lightspeed, and Menlo Ventures. He was previously a partner at Lightspeed and the first engineer at Rubrik. Jay's favorite book: The Truth Detector (Author: Jack Schafer) (00:01) Introduction (00:44) Overview of Legal AI and Industry Impact (03:53) Daily Operations in Plaintiff Law Firms (05:49) Identifying and Launching Eve's MVP (08:58) Framework for Building an Effective MVP (12:02) Acquiring Early Customers (Zero to Ten) (14:20) Scaling Beyond Early Customers: Growth Strategies (16:08) Encouraging Word-of-Mouth and Inbound Growth (18:21) Product Development and Customer Feedback Loops (20:27) Eve's Technology Stack and Internal AI Usage (22:16) Team Structure and Leadership Development (24:20) Role and Impact of Designers in Early Startups (27:15) Future Trends in Legal AI: Consolidation vs. Specialization (30:29) Exciting AI Advancements Relevant to Eve (31:58) Rapid Fire Questions -------- Where to find Jay Madheswaran: LinkedIn: https://www.linkedin.com/in/jayanth1/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Is LLM the New Operating System? | Anant Bhardwaj, CEO of Instabase 45:37

לפני 13 weeks45:37

45:37

Anant Bhardwaj is the founder and CEO of Instabase, an AI-native unstructured data platform. They've raised $322M in funding to date from NEA, Andreessen Horowitz, Greylock, and Index Ventures. He did his masters from Stanford and PhD from MIT. Anant's favorite book: The Singularity Is Near (Author: Ray Kurzweil) (00:07) Defining Unstructured Data (01:18) The Growth of Unstructured Data and Its Challenges (02:05) Evolution of Tools for Analyzing Unstructured Data (04:25) How Large Language Models (LLMs) Changed Data Processing (05:27) Do We Still Need ETL in the LLM Era? (06:05) Structured Queries vs. Direct Unstructured Querying (08:22) Applying LLMs in Enterprise Settings (09:34) Ensuring Accuracy in AI-Driven Data Analysis (11:29) SQL vs. AI-Driven Queries in Business Use Cases (13:48) Retrieval-Augmented Generation (RAG) for Enterprise AI (15:02) The Founding of Instabase and Its Early Vision (19:03) Building the MVP of Instabase (22:52) First 10 Customers: Lessons from Early Sales (26:01) Scaling Customer Acquisition: Experiments and Failures (30:35) When to Hire a Sales Team: Key Lessons (33:52) AI Adoption at Instabase for Internal Productivity (37:48) The Technology Stack Behind Instabase (42:36) Transition from OS-Based Architecture to LLM-Based System (43:45) Rapid Fire Questions -------- Where to find Anant Bhardwaj: LinkedIn: https://www.linkedin.com/in/anantpb/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Building AI Agents That Actually Work | Malte Kosub, CEO of Parloa 33:54

לפני 15 weeks33:54

33:54

Malte Kosub is the cofounder and CEO of Parloa, an AI agent platform for customer service. They raised their $66M Series B led by Altimeter. Malte's favorite book: The Qualified Sales Leader (Author: John McMahon) (00:01) Introduction (00:26) Overview of AI in Customer Support (01:33) The Current Landscape of AI Agents (02:46) Enterprise Adoption of AI Agents (04:16) The Founding Story of Parloa (06:25) Deciding What Goes into V1 of a Product (07:56) Achieving 99.9999% Accuracy in AI Agents (09:29) How to Identify Customer Needs for AI Products (10:55) Scaling from Early Customers to the Next 10 (12:41) Growth Experiments: What Worked and What Didn’t (14:42) Current State of Parloa: Capabilities and Scale (16:36) Structuring Teams for AI-First Companies (18:49) Technology Stack and Internal AI Use Cases (21:29) How to Pitch an AI Product to Enterprises (23:32) Essential Tools Used Inside the Company (25:41) AI’s Role in Daily Life and Workflows (27:54) The Future of AI Agents in Customer Support (28:37) Can AI Agents Fully Replace Human Agents? (29:05) Exciting AI Advancements Impacting Parloa (30:06) Rapid Fire Round -------- Where to find Malte Kosub: LinkedIn: https://www.linkedin.com/in/maltekosub/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite X: https://x.com/prateekvjoshi…

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3000 Customers, One Bold Pivot: Building the First Generative AI Copilot for Lawyers | Scott Stevenson, CEO of Spellbook 44:07

לפני 16 weeks44:07

44:07

Scott Stevenson is the cofounder and CEO of Spellbook. They launched the first generative AI copilot for lawyers. It's used by more than 3,000 law firms and are growing really fast. They most recently raised $20M Series A from investors such as Inovia, Bling, and Moxxie. Scott's favorite book: Zero to One (Author: Peter Thiel) (00:01) Introduction (00:06) The basics of legal AI and its applications (02:57) How lawyers use AI for contract review and drafting (03:22) Inspiration from GitHub Copilot and AI’s role in legal work (04:19) AI in litigation vs. transactional legal work (06:37) Why AI adoption in legal work accelerated (07:07) The launch story of Spellbook (07:45) Finding the right problem to solve in legal tech (10:11) How GitHub Copilot influenced Spellbook’s early direction (11:42) Spellbook’s first prototype and early traction (13:11) The moment Spellbook realized it had product-market fit (14:31) Measuring actual product usage and customer adoption (15:27) Early learnings from new customers (17:59) Growth experiments: what worked and what failed (20:48) Discovering unexpected customer segments (22:50) Company building philosophy and structuring Spellbook (26:18) Avoiding over-optimization for structure in startups (30:21) How to decide what to ship in a startup (32:21) Pattern-matching vs. narrative reasoning in product development (35:39) Lessons from AI contract review and LLM usage (36:14) Rapid-fire round…

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The Outer Loop of AI-Powered Coding | Merrill Lutsky, CEO of Graphite 41:26

לפני 17 weeks41:26

41:26

Merrill Lutsky is the cofounder and CEO of Graphite, an AI-powered code reviewer that's used by tens of thousands of users. They are backed by amazing investors including Andreessen Horowitz. Merrill's favorite book: Never Split the Difference (Author: Chris Voss) (00:01) Introduction (00:06) Teaching AI to Understand Code (02:40) AI-Assisted Code Generation and Code Review (06:20) Current Landscape of AI-Assisted Code Review (09:04) Motivation Behind Launching Graphite (16:52) Landing the First Paying Users and Early Learnings (21:42) Growth Experiments: Wins and Misses (26:27) Current Scale of Graphite (29:12) Tech Stack Behind Graphite (33:12) Future of AI-Assisted Coding and Graphite’s Role (35:37) Rapid Fire Round -------- Where to find Merrill Lutsky: LinkedIn: https://www.linkedin.com/in/merrill-lutsky/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Behind the Scenes of AI Video | Amit Jain, founder of Luma AI 48:19

לפני 19 weeks48:19

48:19

Amit Jain is the cofounder and CEO of Luma AI, an AI platform to create realistic looking videos. They're backed by Andreessen Horowitz, Amazon, and AMD. He was previously at Apple where he worked on VisionPro. Amit's favorite book : Skunk Works (Authors: Ben R. Rich, Leo Janos) (00:01) Introduction (00:26) How Can AI Models Generate Realistic Videos (02:38) The Current Landscape of Video Generation (06:16) Teaching AI Models the Laws of Physics (09:47) Founding Luma: Deciding on the First Product Version (12:56) Validating Market Need & User Feedback (16:42) Key Learnings from Ray 1 Before Launching Ray 2 (21:24) Growth Hacks That Moved the Needle (24:27) From Zero Users to Today: The Growth Journey (27:53) Building a Community Around Luma (30:57) Luma’s Technology Stack & AI Infrastructure (36:42) Biggest Technical Challenges in Building Luma (39:24) The Future of Video Generation & AI's Role (41:54) Rapid Fire Round -------- Where to find Amit Jain: LinkedIn: https://www.linkedin.com/in/gravicle/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 X: https://x.com/prateekvjoshi…

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Building an AI-Powered Terminal | Zach Lloyd 38:06

לפני 20 weeks38:06

38:06

Zach Lloyd is the cofounder and CEO of Warp, the intelligent terminal powered by AI. They recently raised their $50M Series B led by Sequoia Capital. He was previously the cofounder of SelfMade and the interim CTO of TIME. Zach's favorite book : The Death of Ivan Ilyich (Author: Leo Tolstoy) (00:01) Introduction (00:07) Basics of the Terminal: What It Does and Why Developers Use It (01:48) Foundation of Warp: Addressing Terminal Shortcomings (05:00) Initial Feature Set: Building Warp’s Early Product (07:19) Product Iteration and Retaining Early Users (10:15) AI Integration in Warp: Initial Use Cases and Evolution (14:00) Technical Challenges: Building Warp in Rust (16:25) Feature Prioritization: Balancing Feedback and Vision (18:26) Warp's Tech Stack: Languages, Frameworks, and Tools (22:22) Cross-Platform Development Challenges (23:07) Importance of Design: Competitive Advantage in Dev Tools (26:10) Hiring for Design in Early-Stage Startups (30:22) Warp’s Vision for the Next Five Years (32:15) Lessons from Scaling Warp: Advice to Younger Self (34:02) Rapid Fire Round -------- Where to find Zach Lloyd: LinkedIn: https://www.linkedin.com/in/zachlloyd/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi…

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When Robots Go Haywire, Who Picks Up The Tab? | Amias Gerety 48:54

לפני 21 weeks48:54

48:54

Amias Gerety is a partner at QED Investors, a fintech-focused VC firm with $3.8 Billion under management. He was previously the Assistant Secretary at the US Department of Treasury. And he graduated from Harvard. Amias's favorite finance book: Lombard Street: A Description of the Money Market (Author: Walter Bagehot) (00:01) Introduction (00:46) Why Do Robots Need Insurance? (03:04) Challenges for Insurance Companies with Robot Liability (07:34) Risks of Autonomous Robots in Industrial vs. Domestic Settings (12:22) Cybersecurity and Hacking Risks in Robotics (15:41) Importance and Challenge of Historical Data in Robotics Insurance (18:52) Leveraging Telemetry Data for Risk Modeling (22:09) Creating a Functional Insurance Market for Robotics (26:42) Should Robots Be Independent Legal Entities? (28:34) Should Robots Buy Their Own Insurance? (32:30) Partnerships Between Insurers and Robotics Companies (37:11) Regulatory Framework for Robotics Insurance (38:57) Advice for Founders in Robotics Insurance (40:07) Rapid Fire Round -------- Where to find Amias Gerety: LinkedIn: https://www.linkedin.com/in/amias-gerety/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi…

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Building MotherDuck to a $400M Company 49:18

לפני 21 weeks49:18

49:18

Jordan Tigani is the cofounder and CEO of MotherDuck, a data warehouse platform based on open source database DuckDB. They've raised $100M in funding from amazing investors like Andreessen Horowitz, Felicis, Madrona, and Altimeter. He was previously the CPO at SingleStore and spent 11 years at Google before that. He has a degree in electrical engineering from Harvard. Jordan's favorite book : The Master and Margarita (Author: Mikhail Bulgakov) (00:01) Introduction (00:08) Founding of MotherDuck (01:12) The Philosophy of Shipping Products at MotherDuck (05:02) Founding Story and Identifying the Market Opportunity (10:57) Building the First Version and Overcoming Early Challenges (12:23) Validating Customer Needs and Asking the Right Questions (18:24) Deciding What Features to Prioritize and Exclude (21:30) Positioning a New Product in a Mature Market (27:36) Overcoming Challenges in Scaling MotherDuck (32:29) Measuring Success of New Features in Enterprise Products (36:20) Structuring the Organization for Effective Execution (41:09) Preparing MotherDuck for the AI Native Era (43:28) Rapid Fire Round -------- Where to find Jordan Tigani: LinkedIn: https://www.linkedin.com/in/jordantigani/ -------- Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi…

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