AI

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The Gradient: Perspectives on AI The Gradient: Perspectives on AI
22:29
  1. 1 2025 in AI, with Nathan Benaich
  2. 2 Iason Gabriel: Value Alignment and the Ethics of Advanced AI Systems
  3. 3 2024 in AI, with Nathan Benaich
  4. 4 Philip Goff: Panpsychism as a Theory of Consciousness
  5. 5 Some Changes at The Gradient
  6. 6 Jacob Andreas: Language, Grounding, and World Models
  7. 7 Evan Ratliff: Our Future with Voice Agents
  8. 8 Meredith Ringel Morris: Generative AI's HCI Moment
  9. 9 Davidad Dalrymple: Towards Provably Safe AI
  10. 10 Clive Thompson: Tales of Technology
  11. 11 Judy Fan: Reverse Engineering the Human Cognitive Toolkit
  12. 12 L.M. Sacasas: The Questions Concerning Technology
  13. 13 Pete Wolfendale: The Revenge of Reason
  14. 14 Peter Lee: Computing Theory and Practice, and GPT-4's Impact
  15. 15 Manuel & Lenore Blum: The Conscious Turing Machine
The Data Exchange The Data Exchange
22:29
  1. 1 As Code Generation Speeds Up, Who Tests the Output?
  2. 2 The Gap Between AI Hype and Enterprise Reality
  3. 3 Reading the Tea Leaves: What the World’s Top AI Researchers Are Really Working On
  4. 4 From Web Video to Real-World Robots
  5. 5 Why Your AI Committee Might Be Your Biggest AI Problem
  6. 6 Building Mathematical Superintelligence
  7. 7 Your First AI Employee Is Already Clocking In
  8. 8 Are Multi-Agent Systems More Complex Than They Need to Be?
  9. 9 Coding Agents Meet Data Science
  10. 10 World Models Are Here—But It’s Still the GPT-2 Phase
The Artificial Intelligence Podcast The Artificial Intelligence Podcast
22:29
  1. 1 Interview #86 Carter Huffman, CTO of Modulate
  2. 2 Interview #85 Bakak Hodjat, CAIO at Cognizant
  3. 3 Interview #84 Hagay Lupesko, SVP of AI Inference at Cerebras Systems
  4. 4 Interview #83 Shiva Pillay, General Manager & SVP, Americas at Veeam
  5. 5 Top 2% of 7M Spotify Podcasts: 2025 Wrapped
  6. 6 Interview #82 Christopher Brown, Managing Partner of The Nova Rose Group
  7. 7 Interview #81 Vrajesh Bhavsar, CEO of Operant AI
  8. 8 Interview #80 Raj Shukla, CTO of SymphonyAI
  9. 9 Interview #79 Balaji Raghavan, Head of Engineering at Postman
  10. 10 Interview #78 Stelios Diamantidis, CPO of Cognichip
  11. 11 Interview #77 Paul Canetti, CEO of Skej
  12. 12 Interview #76 Zachary Hanif, VP of AI ML at Twilio
  13. 13 Interview #75 Santosh Kaveti, CEO of ProArch
  14. 14 Interview #74 Suman Kanuganti, CEO of Personal AI
  15. 15 Interview #73 Jay Dawani, CEO of Lemurian Labs
The AI in Business Podcast The AI in Business Podcast
22:29
  1. 1 The Architecture Shift Behind Reliable Enterprise AI - with Ravi Marwaha of Arango
  2. 2 Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand
  3. 3 Why Predictive AI in Service Only Works on the Right Foundation - with Niken Patel of Neuron7.ai
  4. 4 Building Predictive Safety Systems in Energy Operations - with Patricio Rivera of Oxy
  5. 5 Fixing the Pilot‑to‑Production Gap in Enterprise AI - with Lawrence Whittle of HTEC Group
  6. 6 From Experimentation to Clinical-grade AI in Healthcare - with Alex Tyrrell of Wolters Kluwer
  7. 7 Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
  8. 8 Designing Supply Chains for Volatility - with Dr. Gopalendu Pal of Target
  9. 9 Operationalizing Real-Time Voice Intelligence for FinServ and CX - with Ken Morino of Modulate
  10. 10 Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe
  11. 11 Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight
  12. 12 Breaking Bottlenecks in Life Sciences R&D with AI Innovation - with Aziz Nazha of Incyte Pharmaceuticals
  13. 13 Scaling Customer Experience with Operationalized Agentic AI - with Shezan Kazi of Dialpad
  14. 14 Turning Computer Vision Into Real‑World Value at Enterprise Scale – with Joseph Nelson of Roboflow
  15. 15 Making Workforce Training Affordable with Tiered Storage - with Aaron Demory of Fearlus
Practical AI Practical AI
22:29
  1. 1 U.S. Congressman Beyer on AI challenges facing America and the World
  2. 2 The Myth of Model Wars: Open vs Closed AI in 2026
  3. 3 The mythos of Mythos and Allbirds takes flight to the neocloud
  4. 4 Open Source Self-Driving with Comma AI
  5. 5 Post-Mortem of Anthropic's Claude Code Leak
  6. 6 Agentic Coding and the Economics of Open Source
  7. 7 AI at the Edge is a different operating environment
  8. 8 Humility in the Age of Agentic Coding
  9. 9 AI policy and the battle for computing power
  10. 10 Cognitive Synthesis and Neural Athletes
  11. 11 AI incidents, audits, and the limits of benchmarks
  12. 12 Inside an AI-Run Company
  13. 13 How is AI shaping democracy?
  14. 14 Controlling AI Models from the Inside
  15. 15 2025 was the year of agents, what's coming in 2026?