
ForeCast is a podcast from Forethought, where we hear from the authors about new research.
| Publishes | Daily | Episodes | 94 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Society & CulturePhilosophyTechnology | |||

This is an AI narration of "Risk-Averse AIs" by Elliott Thornley and William MacAskill. The article was first released on 24th June 2026.
You can read more of our research at forethought.org/research. Thank you to Type III audio for providing these... more
Wei Dai is a computer engineer known for his work in cryptography and cryptocurrency systems, and for his long-standing contributions to AI safety, decision theory, and metaphilosophy.
He joined Forethought’s Fin Moorhouse to discuss:
* Do we n... more
This is an AI narration of "What should go in a model spec?" by James Tillman. The article was first released on 4th June 2026.
You can read more of our research at forethought.org/research. Thank you to Type III audio for providing these automated... more
This is an AI narration of "Will We Really Put Data Centers in Space?" by Avi Parrack and Fin Moorhouse. The article was first released on 22nd May 2026.
You can read more of our research at forethought.org/research. Thank you to Type III audio for... more
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Talks a lot about AI from a variety of perspectives. Very interesting and good to have on in the background.
What was this guest smoking?
Superb podcast. I was particularly impressed by the conversation with Toby Ord.
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Recent interactions between the hosts and their guests.
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A thought-provoking show focused on AI, governance, and futures research, featuring authors and researchers who explore how to steer emerging technologies toward informed, resilient societies. Episodes center on epistemic infrastructure, forecasting, global cooperation, and policy design, with practical tools and guardrails discussed alongside philosophical reflections. Distinctive strengths include rigorous thinking, a research-forward lens, and a willingness to entertain bold institutional ideas for coordinating AI progress and public discourse.
Rephonic provides a wide range of podcast stats for ForeCast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to ForeCast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
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Rephonic provides comprehensive predictive audience data for ForeCast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
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These podcasts share a similar audience with ForeCast:
1. Clearer Thinking with Spencer Greenberg
2. Conversations with Tyler
3. The Michael Shermer Show
4. The AI Policy Podcast
5. Machine Learning Street Talk (MLST)
ForeCast launched a year ago and published 94 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
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Recent guests on ForeCast include:
1. Owen Cotton-Barratt
2. Phil Trammell
3. Mia Taylor
4. David Duvenaud
5. Lizka Vaintrob
6. Raymond Douglas
7. Will MacAskill
8. Tom Davidson
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.