On-device ML, Generative AI | Sujith Ravi, founder of SliceX AI

Infinite Curiosity Pod with Prateek Joshi

Infinite Curiosity Pod with Prateek Joshi

30:23

Tiffany Yu is the CEO & Founder of Diversability, an award-winning social enterprise to elevate disability pride; the Founder of the Awesome Foundation Disability Chapter, a monthly micro-grant that has awarded $92.5k to 93 disability projects in 11 countries; and the author of The Anti-Ableist Manifesto: Smashing Stereotypes, Forging Change, and Building a Disability-Inclusive World. As a person with visible and invisible disabilities stemming from a car crash, Tiffany has built a career on disability solidarity. Now that she has found success, she works to expand a network of people with disabilities and their allies to decrease stigmas around disability and create opportunities for disabled people in America. Episode Chapters 0:00 Intro 1:26 When do we choose to share our disability stories? 4:12 Jay’s disability story 8:35 Visible and invisible disabilities 13:10 What does an ally to the disability community look like? 16:34 NoBodyIsDisposable and 14(c) 21:26 How does Tiffany’s investment banking background shape her advocacy? 27:47 Goodbye and outro For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…

2 years ago 46:15

MP3•Episode home

Sujith Ravi is the founder and CEO of SliceX AI, a platform that allows you to train and deploy AI models across devices and use cases. Previously, he founded and headed multiple ML teams at Google AI and Amazon Alexa. It spanned conversational AI, graph & deep learning, and on-device machine learning technologies. These products are used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud, and YouTube. At Google, he invented ML technologies like Smart Reply for conversational AI; Web and Image Search; On-Device ML in Android and Assistant; Neural Structured Learning in TensorFlow; Learn2 Compress for Google Cloud; and TensorFlow Lite for edge devices.
In this episode, we cover a range of topics including:
- How to build ML products
- How to deploy ML on edge devices
- Key constraints of on-device ML
- AI-powered content generation
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19

175 episodes

#Tech #Prateek Joshi

On-device ML, Generative AI | Sujith Ravi, founder of SliceX AI

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published 2 years ago

MP3•Episode home

175 episodes

#Tech #Prateek Joshi

All episodes

Infinite Curiosity Pod with Prateek Joshi

1
Building the Android for Robots | Jan Liphardt, founder of OpenMind 46:43

7 days ago46:43

46:43

Jan Liphardt is the founder of OpenMind, where they're building an operating system for intelligent machines. He is an associate professor at Stanford and was previously an associate professor at UC Berkeley. He got his PhD from University of Cambridge. Jan's favorite books: The Little Prince (Author: Antoine de Saint-Exupéry) 00:01 — Introduction 00:32 — Gap Between Movie Robots and Real-World Robotics 02:35 — Vision for a New Robotics OS 07:14 — Robotics OS Stack Breakdown 11:01 — Biggest Technical Challenges in Robotics 15:06 — Data Volume, Processing, and Cloud vs. Local 19:09 — Shared Intelligence Layer: What is Fabric? 23:15 — Filtering Good vs. Bad Ideas in a Robot Network 26:06 — Business Model for Robots and Machine Economy 29:55 — Standards and Interoperability in Robotics 33:14 — Most Exciting AI Advancements Today 35:00 — Rapid Fire Round -------- Where to find Jan Liphardt: LinkedIn: https://www.linkedin.com/in/jan-liphardt/ -------- 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…

Infinite Curiosity Pod with Prateek Joshi

1
AI Infra for Long Context Model Training | Anna Patterson, founder of Ceramic AI 39:31

20 days ago39:31

39:31

Anna Patterson is the cofounder of Ceramic, an AI infrastructure platform for large scale model training. They raised their seed round led by NEA along with amazing investors such as Lukas Biewald, Laszlo Bock, Sean Carey, Jeff Hammerbacher, Ankit Jain, Seval Oz, Joanna Rees, Gokul Rajaram, and Ram Sriram. She was previously the founder and managing partner at Gradient Ventures. She was the VP Engineering at Google for 14 years. Anna's favorite book: Books she reads with her daughters as part of their family book club (00:01) Introduction & AI Infra 101 (01:11) Budget Breakdown: Training vs Inference (02:16) Mapping the AI Infra Landscape (04:18) Verticalized vs General-Purpose Infrastructure (06:22) Why Ceramic Was Built From Scratch (08:35) MVP Tradeoffs and Decision Framework (10:16) Achieving 2.5x Speedup in Long Context Training (11:50) Short vs Medium vs Long Context: A Primer (13:38) Long Context vs RAG (Retrieval-Augmented Generation) (15:24) Real-World Impact of Long Context Models (16:38) Bottlenecks at 96K Token Contexts (17:51) Data Pruning 101: What to Keep, What to Drop (21:01) What Is “Good Data” in Subjective Domains? (22:32) How to Grade Reasoning, Not Just Answers (24:15) Synthetic Data: Use Cases & Limits (26:19) Staying Current in Fast-Moving Domains (27:30) Will Every Company Have Its Own Model? (29:23) Unlocking the Next 10x in Infra (31:27) Favorite Recent AI Advancements (32:33) Rapid Fire Round -------- Where to find Anna Patterson: LinkedIn: https://www.linkedin.com/in/anna-patterson-15921ba/ -------- 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…

Infinite Curiosity Pod with Prateek Joshi

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

27 days ago52:57

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…

Infinite Curiosity Pod with Prateek Joshi

1
Decentralized Data Foundry for AI | Rowan Stone, CEO of Sapien 38:22

5 weeks ago38:22

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…

Infinite Curiosity Pod with Prateek Joshi

1
Converting Cameras into Autonomous AI Agents | Rish Gupta, CEO of Spot AI 38:50

10 weeks ago38:50

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…

Infinite Curiosity Pod with Prateek Joshi

1
Are AI Phone Agents Ready for Prime Time? | Alex Levin, CEO of Regal 45:21

11 weeks ago45:21

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…

Infinite Curiosity Pod with Prateek Joshi

1
What it Takes to Build a BI Platform | Colin Zima, CEO of Omni 40:07

12 weeks ago40:07

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…

Infinite Curiosity Pod with Prateek Joshi

1
Building Billing Infrastructure for AI Companies | Alvaro Morales, CEO of Orb 38:21

13 weeks ago38:21

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…

Infinite Curiosity Pod with Prateek Joshi

1
Turning Legal Services to APIs | Jay Madheswaran, CEO of Eve 41:02

15 weeks ago41:02

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…

Infinite Curiosity Pod with Prateek Joshi

1
Is LLM the New Operating System? | Anant Bhardwaj, CEO of Instabase 45:37

16 weeks ago45:37

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…

Infinite Curiosity Pod with Prateek Joshi

1
Building AI Agents That Actually Work | Malte Kosub, CEO of Parloa 33:54

18 weeks ago33:54

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…

Infinite Curiosity Pod with Prateek Joshi

1
3000 Customers, One Bold Pivot: Building the First Generative AI Copilot for Lawyers | Scott Stevenson, CEO of Spellbook 44:07

19 weeks ago44:07

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…

Infinite Curiosity Pod with Prateek Joshi

1
The Outer Loop of AI-Powered Coding | Merrill Lutsky, CEO of Graphite 41:26

20 weeks ago41:26

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…

Infinite Curiosity Pod with Prateek Joshi

1
Behind the Scenes of AI Video | Amit Jain, founder of Luma AI 48:19

22 weeks ago48:19

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…

Infinite Curiosity Pod with Prateek Joshi

1
Building an AI-Powered Terminal | Zach Lloyd 38:06

23 weeks ago38:06