In this conversation, we sit down with Amarjot Singh, founder & CEO of Skylark Labs, to explore how they're leading the world in building embodied AI super-intelligence, and where artificial intelligence is headed next. From self-evolving digital organisms to real-world deployment in defense and public safety, they unpack the promise—and the guardrails—of autonomous, collaborative learning systems. Amarjot argues that AI should lift everyone, not just the tech elite, and shares the hardware and supply-chain hurdles his team faces as they build toward super-intelligence.
What You’ll Learn
🤖 Self-aware AI—how Skylark Labs is building models that improve themselves.
🌱 Digital life forms that evolve the way humans do.
🛡️ Why ethical guardrails are non-negotiable for autonomous learning.
🧠 How machine-to-machine collaborative learning accelerates super-intelligence.
🏛️ Real-world impact: defense, public safety, and beyond.
🔧 The supply-chain & hardware challenges every AI startup must solve.
🚀 A future packed with robotics, motor control, and systems that update in the wild.
Chapter Markers
00:00 Introduction to Skylark Labs AI
01:23 The Concept of Digital Life Forms
03:50 Self-Evolving Digital Organisms
04:59 Guardrails and Consciousness in AI
07:41 Learning from Environment and Collaboration
09:33 Open Source vs Closed Source AI
11:19 Collaborative Learning for Super-Intelligence
13:19 Core Features of Super-Intelligence
15:10 Platforms for Interoperability18:41 Updating Autonomous Systems
20:49 Deployment Strategies for AI Solutions
22:53 Navigating Supply-Chain Challenges
24:26 Modular AI Models and Their Efficiency
26:53 Exciting Use Cases and Future Vision
28:46 Advancements in Robotics and Motor Control
30:28 Business Strategies and Market Focus
35:23 Vision for Inclusive AI Technology
#AI #SkylarkLabs #DigitalLifeForms #AutonomousLearning #Superintelligence #CollaborativeLearning #EthicalAI #DefenseTech #PublicSafety #HardwareChallenges
