Castuner

Slopcast

Podkey

Recapping the latest AI news in less than ten minutes a week. Let the machine skim for you.This feed was made with Podkey. It's based on the content from the following sources:- "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis- Dwarkesh Podcast- Hard Fork- Latent Space: The AI Engineer Podcast- Lex Fridman Podcast- Machine Gods- Machine Learning Street Talk (MLST)- The AI Daily Brief: Artificial Intelligence News and Analysis- The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Create your own with Podkey at https://podkey.fm

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Episodes

114 episodes

  1. Cells, Compute, and Consent 7:26
  2. Who Pays for the AI Boom? 7:29
  3. The Cost of Smarter Agents 7:28
  4. AI Slop and Machine Minds 7:30
  5. When Agents Enter the Workflow 7:35
  6. Agents, Research, and the Price of Power 7:47
  7. Who Controls the AI Boom? 8:29
  8. AI’s Expensive Options 8:09
  9. Agents, Proofs, and the Cost of Progress 7:25
  10. AI’s Tests of Trust 8:39
  11. AI Agents Meet Physical Limits 7:10
  12. AI’s Bill Comes Due 7:41
  13. AI Agents Meet the Real World 7:45
  14. Virtual Cells, Real-World Power 8:16
  15. Readable Models, Reliable Fallbacks 8:42
  16. Who Controls the AI Boom? 7:36
  17. Ranking Shoppers, Testing Molecules 7:49
  18. Frontier Models Meet Their Limits 7:57
  19. The AI Champion Bottleneck 6:26
  20. AI’s Bills, Branches, and Breakthroughs 8:12
  21. Who Controls AI’s Next Layer? 8:34
  22. AI’s Scaling Race Meets Reality 7:51
  23. Where AI Actually Holds Up 8:20
  24. Who Controls the AI Stack? 7:14
  25. Agents, Robots, and the Reliability Gap 7:44
  26. AI Agents Meet the Real World 7:22
  27. AI’s Speed, Stakes, and Receipts 8:07
  28. Always-On Agents and Proof 7:54
  29. Shared Agents, Shared Stakes 7:31
  30. Agents Meet the Real World 7:27
  31. Who Gets to Steer AI? 8:19
  32. AI Safety Meets the Scale Test 7:50
  33. The Price of Useful AI 6:48
  34. AI’s Scientific Reality Check 8:54
  35. Agents, Labs, and AI Debt 9:01
  36. The Cost of Knowing 9:04
  37. Agents, Power, and Accountability 9:55
  38. Agents, Guardrails, and Power 8:34
  39. Agents, Costs, and Control 9:46
  40. When Agents Learn the System 7:28
  41. Agents, Science, and Compute Power 9:28
  42. AI’s Trust and Control Problem 8:29
  43. Agents, Costs, and Trust 10:38
  44. Agents, Compute, and Control 9:54
  45. AI Power and Pressure Points 9:10
  46. Capability, Hype, and Guardrails 9:29
  47. AI Revenue Versus Compute 8:29
  48. The Real Cost of Tokens 8:19
  49. Tokens, Leverage, and AI Demand 8:43
  50. Open Weights, Closed Motives 9:34