← Current AI systems

What podcasts say about Current AI systems

Every statement, with the speaker, the exact quote and the moment it was said.

What experts have said about Current AI systems

11 statements · 1 positive · 7 negative · 2 mixed · 1 neutral

  1. Current AI systems demonstrate powerful new capabilities requiring a response.

    “these systems are demonstrating new capabilities, which are very powerful and which demand a response”

    Listen at 2:20:08

    Open the episode · The Great AI Debate: Is Artificial Intelligence an Extinction Threat? Debating the True Risks of Advanced Models
  2. Current AI is not general AGI but exhibits AGI-like capabilities in some tasks.

    “No, not in the general definition that it's in all the things, but have I seen AGI in these glimmers? Absolutely.”

    Listen at 3:03:14

    Open the episode · #501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux
  3. Current AI can simulate feelings without necessarily experiencing them.

    “I think it can simulate that.”

    Listen at 15:27

    Open the episode · Top Scientist REVEALS: We Invented Heaven, God Is A Human Invention! | Prof Brian Greene
  4. Current AI can simulate emotions without necessarily experiencing them.

    “I think it can simulate that.”

    Listen at 15:27

    Open the episode · Top Scientist REVEALS: A Kid In The 29th Century Could Have Made This World! | Prof Brian Greene
  5. Current AI systems may approach a ceiling on intelligence.

    “It could asymptote. It could approach a maximal intelligence compatible with this version of the artificial system.”

    Listen at 1:36:20

    Open the episode · Top Scientist REVEALS: A Kid In The 29th Century Could Have Made This World! | Prof Brian Greene
  6. Current AI systems may have an inherent capability ceiling.

    “there is a possible limiting ceiling exactly as you just admitted.”

    Listen at 1:37:50

    Open the episode · Top Scientist REVEALS: We Invented Heaven, God Is A Human Invention! | Prof Brian Greene
  7. Ryan GreenblattPositiveAug 11, 2026· Dwarkesh Podcast

    Current AI systems can competently match mediocre machine-learning researchers.

    “when I look at AIs right now, I think it's already the case that they can pretty competently match humans who are mediocre at ML research”

    Listen at 16:28

    Open the episode · Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
  8. Fei-Fei LiNegativeAug 10, 2026· Huberman Lab Essentials

    Current AI cannot access deeply personal memories that were never digitally recorded.

    “That's where AI cannot access.”

    Listen at 45:46

    Open the episode · Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
  9. Fei-Fei LiNegativeAug 10, 2026· Huberman Lab Essentials

    Current machines do not possess human cognitive states such as motivation, fear, or love.

    “Do machines have it today? No, let's make it very clear.”

    Listen at 1:17:51

    Open the episode · Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
  10. Current AI systems cannot perform many tasks humans perform.

    “There are a lot of things that AIs cannot do”

    Listen at 2:15:46

    Open the episode · #2521 - Aravind Srinivas
  11. Dwarkesh PatelNegativeJun 19, 2026· Dwarkesh Podcast

    Current AI systems learn substantially less efficiently than humans.

    “But the reason we can't do this is that our AIs learn much less efficiently than we do.”

    Listen at 3:51

    Open the episode · The data black hole at the center of AI

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Current AI systems: what podcasts say · PodLume