Tom and Nate sit down for a classic discussion of the role of AI in the modern philosophy of science. Much of this discussion is based on Thomas Samuel Kuhn's influential book The Structure of Scientific Revolutions. We ask -- is AI a science in the Kuhn'ian sense? Will the "paradigm" worldview apply to other sciences post AI? How will scientific institutions manage the addition of AI?

We promised an AI for science reading list, so here it is:

• [Dario interview with Lex] https://youtu.be/ugvHCXCOmm4?si=1hnlvue8M4pV2TqC
• Levers for biological progress https://open.substack.com/pub/cell/p/levers?r=68gy5&utm_medium=ios
• X thread on theories of change in scienceshttps://x.com/AdamMarblestone/status/1845158919523664019
• whitepaper linked by seb krier
• Dwarkesh physics pod https://open.substack.com/pub/dwarkesh/p/adam-brown?r=68gy5&utm_medium=ios — Nobel in physics went to ai
• Ai policy perspectives piece A new golden age of discoveryhttps://www.aipolicyperspectives.com/p/a-new-golden-age-of-discovery
• Owl posting checking recent NeurIPS papers https://www.owlposting.com/p/can-o1-preview-find-major-mistakes based on idea from Ethan Mollick https://x.com/emollick/status/1868329599438037491
• also another post on the subject https://open.substack.com/pub/amistrongeryet/p/the-black-spatula-project?r=68gy5&utm_medium=ios
• Kuhn’s The Structure of Scientific Revolutions
• intrinsic perspective https://open.substack.com/pub/erikhoel/p/great-scientists-follow-intuition?r=68gy5&utm_medium=ios

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We're back! Tom and Nate catch up after the Thanksgiving holiday. Our main question was -- what were the biggest AI stories of the year? We touch on the core themes of the show: infrastructure, AI realities, and and antitrust. The power buildout to scale out AI is going to have very real long-term impacts.

Some links this week:
* Ben Thompson's, The End of the Beginning: https://stratechery.com/2020/the-end-of-the-beginning/
* Miles Brundage's Substack: https://milesbrundage.substack.com/p/why-im-leaving-openai-and-what-im
* Stochastic Parrots paper: https://dl.acm.org/doi/10.1145/3442188.3445922

Thanks for listening! 

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Tom and Nate catch up on the happenings in AI. Of course, we're focused on the biggest awards available to us as esteemed scientists (or something close enough) -- the Nobel Prizes! What does it mean in the trajectory of AI for Hinton and Hassabis to carry added scientific weight. Honestly, feels like a sinking ship. 

Some links:
* Schmidhuber tweet: https://x.com/SchmidhuberAI/status/1844022724328394780
* Hinton "I'm proud my student fired Sam": https://x.com/Grady_Booch/status/1844145422824243290

00:00 Introduction
04:43 Criticism of AI-related Nobel Prize awards
09:06 Geoffrey Hinton's comments on winning the Nobel Prize
18:14 Debate on who should be credited for current AI advancements
25:53 Changes in the nature of scientific research and recognition
34:44 Changes in AI safety culture and company dynamics
37:27 Discussion on AI scaling and its impact on the industry
42:21 Reflection on the ongoing AI hype cycle

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Tom and Nate catch up on recent events (before the OpenAI o1 release) and opportunities in transparency/policy. We recap the legendary scam of Matt from IT department, why disclosing the outcomes of process is not enough, and more. This is a great episode on understanding why the process technology was birthed from is just as important as the outcome!

Some links:
* Nathan's post on Model Specs for regulation https://www.interconnects.ai/p/a-post-training-approach-to-ai-regulation
* Nathan's post on inference spend https://www.interconnects.ai/p/openai-strawberry-and-inference-scaling-laws

Send your questions to mail at retortai dot com

Tom and Nate catch up on core themes of AI after a somewhat unintended summer break. We discuss the moral groundings and philosophy of what we're building, our travels, The Anxious Generation, AGI obsessions, an update on AI Ethics vs. AI Safety, and plenty more in between.

As always, contact us at [email protected]

Some links we mention in the episode:
* The Emotional Dog and its Rational Tail https://motherjones.com/wp-content/uploads/emotional_dog_and_rational_tail.pdf
* The Anxious Generation https://www.amazon.com/Anxious-Generation-Rewiring-Childhood-Epidemic/dp/0593655036
* Shadow Lake Lodge https://shadowlakelodge.com/
* Recent Dwarkesh Podcast https://www.dwarkeshpatel.com/p/joe-carlsmith

Tom and Nate catch up on the rapidly evolving (and political) space of AI regulation. We cover CA SB 1047, recent policing of data scraping, presidential appointees, antitrust intention vs. implementation, FLOP thresholds, and everything else touching the future of large ML models.

Nate's internet cut out, so this episode ends a little abruptly. Reach out with any questions to mail at retortai.com

Some links:
- night falls on the cumberlands https://en.wikipedia.org/wiki/Night_Comes_to_the_Cumberlands
- hillbilly elegy https://en.wikipedia.org/wiki/Hillbilly_Elegy
- wired piece on data https://www.wired.com/story/youtube-training-data-apple-nvidia-anthropic/
- nate's recent piece on AI regulation https://www.interconnects.ai/p/sb-1047-and-open-weights

00:00  Intro 
01:19 Training Data and the Media 
03:43 Norms, Power, and the Limits of Regulation
08:52 OpenAI's Business Model
12:33  Antitrust: The Essential Tool for Governing AI
17:11 Users as Afterthoughts
20:07 Depoliticizing AI 
26:14  "Breaking Bad" & the AI Parallel
28:11  The "Little Tech" Agenda
31:03  Reframing the Narrative of Big Tech  
32:20  "The Lean Startup" & AI's Uncertainty

Tom and Nate revisit one of their old ideas -- AI through the lens of public health infrastructure, and especially alignment. Sorry about Tom's glitchy audio, I figured it out after the fact that he was talking into the microphone at the wrong angle. Regardless, here are some links for this week. Links:
- Data foundry for AI https://scale.com/blog/scale-ai-series-f 
- Information piece on Scale AI ($) https://www.theinformation.com/articles/why-a-14-billion-startup-is-now-hiring-phds-to-train-ai-from-their-living-rooms?shared=168f685a864ca709 
- ChatGPT compounding math: https://chatgpt.com/share/2c19a357-acb2-441d-8203-946b74ce785c 

contact us at mail at retortai dot com

00:00 Intro
00:39 Chicago's Tech Scene and the "The Bear"
01:22 AI and Public Health: A New Framework
08:17 Lessons for AI from Sanitation Infrastructure
12:58 The Mental Health Impact of Generative AI
23:28 Aligning AI with Diverse Societal Values
27:06 Power Dynamics in AI's Development
33:02 The Need for a Neutral AI Research Body (NAIRR)
36:57 New Regulations for a New Era of AI
41:05 Outro: Join the Conversation

Tom and Nate caught up last week (sorry for the editing delay) on the big two views of the AI future: Apple Intelligence and Situational Awareness (Nationalistic AI doom prevention). One of our best episodes, here are the links:
* The Kekulé Problem https://en.wikipedia.org/wiki/The_Kekul%C3%A9_Problem
* Truth and Method https://en.wikipedia.org/wiki/Truth_and_Method
* Situational Awareness https://situational-awareness.ai/

00:00 A Hypothetical Life: From Germany to AGI
01:20 Leopold Aschenbrenner: Situational Awareness and Extrapolation
02:01 The Retort: Apple vs. Doomsday AI
03:40 Credentials and Social Choice Theory
05:14 Dissecting "Situational Awareness": Hype vs. Reality
07:16 The Limits of Language Models: Are They Really Intelligent?
11:04 Apple's Vision: AI for Consumers, Not Conquerors
13:53 Silicon Valley Myopia and the Geopolitics of AI
18:25 Beyond Benchmarks: The Scientist vs. The Engineer
22:04 What is Intelligence? The Narrowness of Human Fixation
24:32 A Growing Disrespect for Language?
27:40 The Power of Talking to Language Models
32:50 Language: Representation or Revelation?
38:54 The Future of Meaning: Will AI Obliterate Art?
45:32 A Vision for AI as Public Infrastructure

Tom and Nate catch up on many AI policy happenings recently. California's "anti open source" 1047 bill, the senate AI roadmap, Google's search snaifu, OpenAI's normal nonsense, and reader feedback! A bit of a mailbag. Enjoy.

00:00 Murky waters in AI policy
00:33 The Senate AI Roadmap
05:14 The Executive Branch Takes the Lead
08:33 California's Senate AI Bill
22:22 OpenAI's Two Audiences
28:53 The Problem with OpenAI Model Spec
39:50 A New World of AI Regulation

A bunch of links...
Data and society whitepaper: https://static1.squarespace.com/static/66465fcd83d1881b974fe099/t/664b866c9524f174acd7931c/1716225644575/24.05.18+-+AI+Shadow+Report+V4.pdf
https://senateshadowreport.com/ 

California bill
https://www.hyperdimensional.co/p/california-senate-passes-sb-1047 
https://legiscan.com/CA/text/SB1047/id/2999979 

Data walls
https://www.interconnects.ai/p/the-data-wall 

Interconnects Merch
https://interconnects.myshopify.com/

Tom and Nate discuss two major OpenAI happenings in the last week. The popular one, the chat assistant, and what it reveals about OpenAI's worldview. We pair this with discussion of OpenAI's new Model Spec, which details their RLHF goals: https://cdn.openai.com/spec/model-spec-2024-05-08.html

This is a monumental week for AI. The product transition is completed, we can't just be researchers anymore.

00:00 Guess the Donkey Kong Character
00:50 OpenAI's New AI Girlfriend
07:08 OpenAI's Business Model and Responsible AI
08:45 GPT-2 Chatbot Thing and OpenAI's Weirdness
12:48 OpenAI and the Mystery Box
19:10 The Blurring Boundaries of Intimacy and Technology
22:05 Rousseau's Discourse on Inequality and the Impact of Technology
26:16 OpenAI's Model Spec and Its Objectives
30:10 The Unintelligibility of "Benefiting Humanity"
37:01 The Chain of Command and the Paradox of AI Love
45:46 The Form and Content of OpenAI's Model Spec
48:51 The Future of AI and Societal Disruptions