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#8: Bing Chat, AI labs on safety, and pausing Future Matters

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Manage episode 358562151 series 3340630
Content provided by Matthew van der Merwe, Pablo Stafforini, Matthew van der Merwe, and Pablo Stafforini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matthew van der Merwe, Pablo Stafforini, Matthew van der Merwe, and Pablo Stafforini 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://player.fm/legal.

Future Matters is a newsletter about longtermism and existential risk by Matthew van der Merwe and Pablo Stafforini. Each month we curate and summarize relevant research and news from the community, and feature a conversation with a prominent researcher. You can also subscribe on Substack, read on the EA Forum and follow on Twitter. Future Matters is also available in Spanish.

00:00 Welcome to Future Matters. 00:44 A message to our readers. 01:09 All things Bing. 05:27 Summaries. 14:20 News. 16:10 Opportunities. 17:19 Audio & video. 18:16 Newsletters. 18:50 Conversation with Tom Davidson. 19:13 The importance of understanding and forecasting AI takeoff dynamics. 21:55 Start and end points of AI takeoff. 24:25 Distinction between capabilities takeoff and impact takeoff. 25:47 The ‘compute-centric framework’ for AI forecasting. 27:12 How the compute centric assumption could be wrong. 29:26 The main lines of evidence informing estimates of the effective FLOP gap. 34:23 The main drivers of the shortened timelines in this analysis. 36:52 The idea that we'll be "swimming in runtime compute" by the time we’re training human-level AI systems. 37:28 Is the ratio between the compute required for model training vs. model inference relatively stable? 40:37 Improving estimates of AI takeoffs.

  continue reading

9 episodes

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iconShare
 
Manage episode 358562151 series 3340630
Content provided by Matthew van der Merwe, Pablo Stafforini, Matthew van der Merwe, and Pablo Stafforini. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matthew van der Merwe, Pablo Stafforini, Matthew van der Merwe, and Pablo Stafforini 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://player.fm/legal.

Future Matters is a newsletter about longtermism and existential risk by Matthew van der Merwe and Pablo Stafforini. Each month we curate and summarize relevant research and news from the community, and feature a conversation with a prominent researcher. You can also subscribe on Substack, read on the EA Forum and follow on Twitter. Future Matters is also available in Spanish.

00:00 Welcome to Future Matters. 00:44 A message to our readers. 01:09 All things Bing. 05:27 Summaries. 14:20 News. 16:10 Opportunities. 17:19 Audio & video. 18:16 Newsletters. 18:50 Conversation with Tom Davidson. 19:13 The importance of understanding and forecasting AI takeoff dynamics. 21:55 Start and end points of AI takeoff. 24:25 Distinction between capabilities takeoff and impact takeoff. 25:47 The ‘compute-centric framework’ for AI forecasting. 27:12 How the compute centric assumption could be wrong. 29:26 The main lines of evidence informing estimates of the effective FLOP gap. 34:23 The main drivers of the shortened timelines in this analysis. 36:52 The idea that we'll be "swimming in runtime compute" by the time we’re training human-level AI systems. 37:28 Is the ratio between the compute required for model training vs. model inference relatively stable? 40:37 Improving estimates of AI takeoffs.

  continue reading

9 episodes

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