Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Nick Byrd. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nick Byrd or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Upon Reflection, Ep. 16: Strategic Reflectivism

29:00
 
Share
 

Manage episode 512408738 series 3581202
Content provided by Nick Byrd. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nick Byrd or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In late 2025, artificial intelligence companies like OpenAI popularized the idea of automating the process of selecting which model is best for a task. This allowed users to simply send their prompt or request and let the system determine whether to respond using a "fast" or a "slow" reasoning model. In a 2022 paper, I suggested that this kind of strategic deployment of slow, more reflective reasoning could be crucial to good judgment and decision-making. Since then, I have been synthesizing the arguments and evidence for this view in a paper titled, "Strategic Reflectivism in Intelligent Systems". After the new paper was accepted in Lecture Notes In Computer Science, I recorded a podcast of me reading the final proofs of the paper for the podcast. I review evidence suggesting that one key to intelligence in humans and machines is pragmatic switching between intuitive and reflective thinking based on the goals of the system. The paper has a wide range of implications for applied science, computer science, decision science, and epistemology. Byrd, N. (2025). Strategic Reflectivism In Intelligent Systems. Lecture Notes In Computer Science. Preprint: https://doi.org/10.48550/arXiv.2505.22987 As always, free preprints of my papers are available on my CV at byrdnick.com/cv under "Publications". This episode's affiliate partner is Road Runner Sports. For about a year I've been adding a weekly marathon to my exercise routine. So shoes, socks, headphones, shorts, and other fitness products have felt more important to me lately. What I like about Road Runner Sports is their integration of online and in-store retail; I can try things on in person, deliver to the store for free, return and exchange in person, etc. I am not stuck doing everything online. To get your running needs met, check out roadrunnersports.sjv.io/byrdnick. You can find the Upon Reflection podcast here or in your podcast app. If you like what you hear, you can subscribe wherever you find podcasts, follow on BlueSky at @ByrdNick.com, on Mastadon (@ByrdNick), and all the other platforms. If you end up enjoying the Upon Reflection podcast, then feel free to tell people about it, online, in person, or in your review. Related posts The Bias Fallacy The Base Rate Fallacy The Appeal to Intuition: A Fallacy? Upon Reflection, Ep. 9: Bounded Reflectivism & Epistemic Identity 25+ Cognitive Science Podcasts
  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 512408738 series 3581202
Content provided by Nick Byrd. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nick Byrd or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In late 2025, artificial intelligence companies like OpenAI popularized the idea of automating the process of selecting which model is best for a task. This allowed users to simply send their prompt or request and let the system determine whether to respond using a "fast" or a "slow" reasoning model. In a 2022 paper, I suggested that this kind of strategic deployment of slow, more reflective reasoning could be crucial to good judgment and decision-making. Since then, I have been synthesizing the arguments and evidence for this view in a paper titled, "Strategic Reflectivism in Intelligent Systems". After the new paper was accepted in Lecture Notes In Computer Science, I recorded a podcast of me reading the final proofs of the paper for the podcast. I review evidence suggesting that one key to intelligence in humans and machines is pragmatic switching between intuitive and reflective thinking based on the goals of the system. The paper has a wide range of implications for applied science, computer science, decision science, and epistemology. Byrd, N. (2025). Strategic Reflectivism In Intelligent Systems. Lecture Notes In Computer Science. Preprint: https://doi.org/10.48550/arXiv.2505.22987 As always, free preprints of my papers are available on my CV at byrdnick.com/cv under "Publications". This episode's affiliate partner is Road Runner Sports. For about a year I've been adding a weekly marathon to my exercise routine. So shoes, socks, headphones, shorts, and other fitness products have felt more important to me lately. What I like about Road Runner Sports is their integration of online and in-store retail; I can try things on in person, deliver to the store for free, return and exchange in person, etc. I am not stuck doing everything online. To get your running needs met, check out roadrunnersports.sjv.io/byrdnick. You can find the Upon Reflection podcast here or in your podcast app. If you like what you hear, you can subscribe wherever you find podcasts, follow on BlueSky at @ByrdNick.com, on Mastadon (@ByrdNick), and all the other platforms. If you end up enjoying the Upon Reflection podcast, then feel free to tell people about it, online, in person, or in your review. Related posts The Bias Fallacy The Base Rate Fallacy The Appeal to Intuition: A Fallacy? Upon Reflection, Ep. 9: Bounded Reflectivism & Epistemic Identity 25+ Cognitive Science Podcasts
  continue reading

17 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play