← AI R&D automation

What podcasts say about AI R&D automation

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

What experts have said about AI R&D automation

8 statements · 6 positive · 1 negative · 1 mixed

  1. AI research is unusually easy to automate because experiments and evaluations are contained.

    “AI research is probably one of the easiest things things to automate”

    Listen at 1:53:28

    Open the episode · Robinhood's Vlad Tenev on Tokenizing Everything, OpenAI's 6 Misalignment Reports, Figure's Robot Makes Beds | EP #292
  2. Aric FloydMixedAug 17, 2026· Modern Wisdom

    Fully automated research and development would transform historical progress dynamics.

    “if we actually get to full automated A R and D, that changes.”

    Listen at 56:30

    Open the episode · AI DEBATE: What Will the World Actually Look Like in 2040? - #1138
  3. Ryan GreenblattPositiveAug 11, 2026· Dwarkesh Podcast

    Automated AI research could compress four or five years of progress into one year.

    “Maybe my sort of median expectation is something like four or five years of AI progress in a single year.”

    Listen at 1:13

    Open the episode · Ryan Greenblatt – What happens once AI can automate AI research?
  4. Ryan GreenblattPositiveAug 11, 2026· Dwarkesh Podcast

    Automated AI R&D could produce four or five years of progress within one year.

    “Maybe my sort of median expectation is something like four or five years of AI progress in a single year.”

    Listen at 1:14

    Open the episode · Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
  5. Ryan GreenblattPositiveAug 11, 2026· Dwarkesh Podcast

    Full AI R&D automation may arrive around 2030–2031, with all-human-job capability around 2033.

    “I would say that I expect full automation of ARD, perhaps somewhere around 2031. 2030, and then getting to the beats. All humans on the job milestone. Maybe I expect median around 2033”

    Listen at 3:10

    Open the episode · Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
  6. Ryan GreenblattPositiveAug 11, 2026· Dwarkesh Podcast

    AI performance on verifiable tasks is already sufficient to accelerate R&D substantially.

    “everything that we can verify reasonably well with some feedback loop the AIs are doing pretty well on, and that's sufficient to make R and D go quite fast”

    Listen at 1:38:04

    Open the episode · Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
  7. Dwarkesh PatelPositiveJun 19, 2026· Dwarkesh Podcast

    AI labs plan to automate AI research and use automated researchers to solve sample efficiency.

    “The labs plans for this latter category of jobs is first to automate AI research and then have the automated AI researchers solve the sample efficiency problem.”

    Listen at 10:53

    Open the episode · The data black hole at the center of AI
  8. Nathan LambertNegativeFeb 1, 2026· Lex Fridman Podcast

    AI is unlikely to automate AI research within the timeframe discussed.

    “I would say probably not, at least in this timeframe.”

    Listen at 3:19:43

    Open the episode · #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

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.

AI R&D automation: what podcasts say · PodLume