The Retort AI Podcast Thomas Krendl Gilbert and Nathan Lambert

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 policy00:33 The Senate AI Roadmap05:14 The Executive Branch Takes the Lead08:33 California's Senate AI Bill22:22 OpenAI's Two Audiences28:53 The Problem with OpenAI Model Spec39:50 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.pdfhttps://senateshadowreport.com/ 
California billhttps://www.hyperdimensional.co/p/california-senate-passes-sb-1047 https://legiscan.com/CA/text/SB1047/id/2999979 
Data wallshttps://www.interconnects.ai/p/the-data-wall 
Interconnects Merchhttps://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 Character00:50 OpenAI's New AI Girlfriend07:08 OpenAI's Business Model and Responsible AI08:45 GPT-2 Chatbot Thing and OpenAI's Weirdness12:48 OpenAI and the Mystery Box19:10 The Blurring Boundaries of Intimacy and Technology22:05 Rousseau's Discourse on Inequality and the Impact of Technology26:16 OpenAI's Model Spec and Its Objectives30:10 The Unintelligibility of "Benefiting Humanity"37:01 The Chain of Command and the Paradox of AI Love45:46 The Form and Content of OpenAI's Model Spec48:51 The Future of AI and Societal Disruptions

Tom and Nate discuss the shifting power landscape in AI. They try to discern what is special about Silicon Valley's grasp on the ecosystem and what other types of power (e.g. those in New York and Washington DC) will do to mobilize their influence. 
Here's the one Tweet we referenced on the FAccT community: https://twitter.com/KLdivergence/status/1653843497932267520
00:00: Introduction and Cryptozoologists02:00: DC and the National AI Research Resource (NAIR)05:34: The Three Legs of the AI World: Silicon Valley, New York, and DC11:00: The AI Safety vs. Ethics Debate13:42: The Rise of the Third Entity: The Government's Role in AI19:42: New York's Influence and the Power of Narrative29:36: Silicon Valley's Insularity and the Need for Regulation36:50: The Amazon Antitrust Paradox and the Shifting Landscape48:20: The Energy Conundrum and the Need for Policy Solutions56:34: Conclusion: Finding Common Ground and Building a Better Future for AI

Tom and Nate cover the state of the industry after Llama 3. Is Zuck the best storyteller in AI? Is he the best CEO? Are CEOs doing anything other than buying compute? We cover what it means to be successful at the highest level this week. 
Links:Dwarkesh interview with Zuck https://www.dwarkeshpatel.com/p/mark-zuckerberg Capuchin monkey https://en.wikipedia.org/wiki/Capuchin_monkey 
00:00 Introductions & advice from a wolf00:45 Llama 307:15 Resources and investment required for large language models14:10 What it means to be a leader in the rapidly evolving AI landscape22:07 How much of AI progress is driven by stories vs resources29:41 Critiquing the concept of Artificial General Intelligence (AGI)38:10 Misappropriation of the term AGI by tech leaders42:09 The future of open models and AI development

Tom and Nate catch up after a few weeks off the pod. We discuss what it means for the pace and size of open models to get bigger and bigger. In some ways, this disillusionment is a great way to zoom our into the big picture. These models are coming. These models are getting cheaper. We need to think about risks and infrastructure more than open vs. closed.
00:00 Introduction 01:16 Recent developments in open model releases 04:21 Tom's experience viewing the total solar eclipse09:38 The Three-Body Problem book and Netflix14:06 The Gartner Hype Cycle22:51 Infrastructure constraints on scaling AI28:47 Metaphors and narratives around AI risk34:43 Rethinking AI risk as public health problems37:37 The "one-way door" nature of releasing open model weights44:04 The relationship between the AI ecosystem and the models48:24 Wrapping up the discussion in the "trough of disillusionment"
We've got some links for you again:- Gartner hype cycle https://en.wikipedia.org/wiki/Gartner_hype_cycle - MSFT Supercomputer https://www.theinformation.com/articles/microsoft-and-openai-plot-100-billion-stargate-ai-supercomputer - Safety is about systems https://www.aisnakeoil.com/p/ai-safety-is-not-a-model-property - Earth day history https://www.earthday.org/history/ - For our loyal listeners http://tudorsbiscuitworld.com/

Tom and Nate catch up on the ridiculous of Nvidia GTC, the lack of trust in AI, and some important taxonomies and politics around governing AI. Safety institutes, reward model benchmarks, Nathan's bad joke delivery, and all the normal good stuff in this episode! Yes, we're also sick of the Taylor Swift jokes, but they get the clicks.
The Taylor moment: https://twitter.com/DrJimFan/status/1769817948930072930
00:00 Intros and discussion on NVIDIA's influence in AI and the Bay Area09:08 Mustafa Suleyman's new role and discussion on AI safety11:31 The shift from performance to trust in AI evaluation17:31 The role of government agencies in AI policy and regulation24:07 The role of accreditation in establishing legitimacy and trust32:11 Grok's open source release and its impact on the AI community39:34 Responsibility and accountability in AI and social media platforms