Artificial General Intelligence (AGI) Show with Soroush Pour

• Ep 14 - Interp, latent robustness, RLHF limitations w/ Stephen Casper (PhD AI researcher, MIT)

  We speak with Stephen Casper, or "Cas" as his friends call him. Cas is a PhD student at MIT in the Computer Science (EECS) department, in the Algorithmic Alignment Group advised by Prof Dylan Hadfield-Menell. Formerly, he worked with the Harvard Kreiman Lab and the Center for Human-Compatible AI (CHAI) at Berkeley. His work focuses on better understanding the internal workings of AI models (better known as “interpretability”), making them robust to various kinds of adversarial attacks, and calling out the current technical and policy gaps when it comes to making sure our future with AI goes well. He’s particularly interested in finding automated ways of finding & fixing flaws in how deep neural nets handle human-interpretable concepts.We talk to Stephen about:* His technical AI safety work in the areas of:  * Interpretability  * Latent attacks and adversarial robustness  * Model unlearning  * The limitations of RLHF* Cas' journey to becoming an AI safety researcher* How he thinks the AI safety field is going and whether we're on track for a positive future with AI* Where he sees the biggest risks coming with AI* Gaps in the AI safety field that people should work on* Advice for early career researchersHosted by Soroush Pour. Follow me for more AGI content:Twitter: https://twitter.com/soroushjpLinkedIn: https://www.linkedin.com/in/soroushjp/== Show links ==-- Follow Stephen --* Website: https://stephencasper.com/* Email: (see Cas' website above)* Twitter: https://twitter.com/StephenLCasper* Google Scholar: https://scholar.google.com/citations?user=zaF8UJcAAAAJ-- Further resources --* Automated jailbreaks / red-teaming paper that Cas and I worked on together (2023) - https://twitter.com/soroushjp/status/1721950722626077067* Sam Marks paper on Sparse Autoencoders (SAEs) - https://arxiv.org/abs/2403.19647* Interpretability papers involving downstream tasks - See section 4.2 of https://arxiv.org/abs/2401.14446* MMET paper on model editing - https://arxiv.org/abs/2210.07229* Motte & bailey definition - https://en.wikipedia.org/wiki/Motte-and-bailey_fallacy* Bomb-making papers tweet thread by Cas - https://twitter.com/StephenLCasper/status/1780370601171198246* Paper: undoing safety with as few as 10 examples - https://arxiv.org/abs/2310.03693* Recommended papers on latent adversarial training (LAT) -  * https://ai-alignment.com/training-robust-corrigibility-ce0e0a3b9b4d  * https://arxiv.org/abs/2403.05030* Scoping (related to model unlearning) blog post by Cas - https://www.alignmentforum.org/posts/mFAvspg4sXkrfZ7FA/deep-forgetting-and-unlearning-for-safely-scoped-llms* Defending against failure modes using LAT - https://arxiv.org/abs/2403.05030* Cas' systems for reading for research -    * Follow ML Twitter    * Use a combination of the following two search tools for new Arxiv papers:        * https://vjunetxuuftofi.github.io/arxivredirect/        * https://chromewebstore.google.com/detail/highlight-this-finds-and/fgmbnmjmbjenlhbefngfibmjkpbcljaj?pli=1    * Skim a new paper or two a day + take brief notes in a searchable notes app* Recommended people to follow to learn about how to impact the world through research -  * Dan Hendrycks  * Been Kim  * Jacob Steinhardt  * Nicolas Carlini  * Paul Christiano  * Ethan PerezRecorded May 1, 2024

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• Ep 13 - AI researchers expect AGI sooner w/ Katja Grace (Co-founder & Lead Researcher, AI Impacts)

  We speak with Katja Grace. Katja is the co-founder and lead researcher at AI Impacts, a research group trying to answer key questions about the future of AI — when certain capabilities will arise, what will AI look like, how it will all go for humanity.We talk to Katja about:* How AI Impacts latest rigorous survey of leading AI researchers shows they've dramatically reduced their timelines to when AI will successfully tackle all human tasks & occupations.* The survey's methodology and why we can be confident in its results* Responses to the survey* Katja's journey into the field of AI forecasting* Katja's thoughts about the future of AI, given her long tenure studying AI futures and its impactsHosted by Soroush Pour. Follow me for more AGI content:Twitter: https://twitter.com/soroushjpLinkedIn: https://www.linkedin.com/in/soroushjp/== Show links ==-- Follow Katja --* Website: https://katjagrace.com/* Twitter: https://x.com/katjagrace-- Further resources --* The 2023 survey of AI researchers views: https://wiki.aiimpacts.org/ai_timelines/predictions_of_human-level_ai_timelines/ai_timeline_surveys/2023_expert_survey_on_progress_in_ai* AI Impacts: https://aiimpacts.org/* AI Impacts' Substack: https://blog.aiimpacts.org/* Joe Carlsmith on Power Seeking AI: https://arxiv.org/abs/2206.13353  * Abbreviated version: https://joecarlsmith.com/2023/03/22/existential-risk-from-power-seeking-ai-shorter-version* Fragile World hypothesis by Nick Bostrom: https://nickbostrom.com/papers/vulnerable.pdfRecorded Feb 22, 2024

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• Ep 12 - Education & advocacy for AI safety w/ Rob Miles (YouTube host)

  We speak with Rob Miles. Rob is the host of the “Robert Miles AI Safety” channel on YouTube, the single most popular AI alignment video series out there — he has 145,000 subscribers and his top video has ~600,000 views. He goes much deeper than many educational resources out there on alignment, going into important technical topics like the orthogonality thesis, inner misalignment, and instrumental convergence.Through his work, Robert has educated thousands on AI safety, including many now working on advocacy, policy, and technical research. His work has been invaluable for teaching and inspiring the next generation of AI safety experts and deepening public support for the cause.Prior to his AIS education work, Robert studied Computer Science at the University of Nottingham.We talk to Rob about:* What got him into AI safety* How he started making educational videos for AI safety* What he's working on now* His top advice for people who also want to do education & advocacy work, really in any field, but especially for AI safety* How he thinks AI safety is currently going as a field of work* What he wishes more people were working on within AI safetyHosted by Soroush Pour. Follow me for more AGI content:Twitter: https://twitter.com/soroushjpLinkedIn: https://www.linkedin.com/in/soroushjp/== Show links ==-- About Rob --* Rob Miles AI Safety channel -  https://www.youtube.com/@RobertMilesAI* Twitter - https://twitter.com/robertskmiles-- Further resources --* Channel where Rob first started making videos:  https://www.youtube.com/@Computerphile* Podcast ep w/ Eliezer Yudkowsky, who first convinced Rob to take AI safety seriously through reading Yudkowsky's writings: https://lexfridman.com/eliezer-yudkowsky/Recording date: Nov 21, 2023

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• Ep 11 - Technical alignment overview w/ Thomas Larsen (Director of Strategy, Center for AI Policy)

  We speak with Thomas Larsen, Director for Strategy at the Center for AI Policy in Washington, DC, to do a "speed run" overview of all the major technical research directions in AI alignment. A great way to quickly learn broadly about the field of technical AI alignment.In 2022, Thomas spent ~75 hours putting together an overview of what everyone in technical alignment was doing. Since then, he's continued to be deeply engaged in AI safety. We talk to Thomas to share an updated overview to help listeners quickly understand the technical alignment research landscape.We talk to Thomas about a huge breadth of technical alignment areas including:* Prosaic alignment  * Scalable oversight (e.g. RLHF, debate, IDA)  * Intrepretability  * Heuristic arguments, from ARC  * Model evaluations* Agent foundations* Other areas more briefly:  * Model splintering  * Out-of-distribution (OOD) detection  * Low impact measures  * Threat modelling  * Scaling laws  * Brain-like AI safety  * Inverse reinforcement learning (RL)  * Cooperative AI  * Adversarial training  * Truthful AI  * Brain-machine interfaces (Neuralink)Hosted by Soroush Pour. Follow me for more AGI content:Twitter: https://twitter.com/soroushjpLinkedIn: https://www.linkedin.com/in/soroushjp/== Show links ==-- About Thomas --Thomas studied Computer Science & Mathematics at U. Michigan where he first did ML research in the field of computer vision. After graduating, he completed the MATS AI safety research scholar program before doing a stint at MIRI as a Technical AI Safety Researcher. Earlier this year, he moved his work into AI policy by co-founding the Center for AI Policy, a nonprofit, nonpartisan organisation focused on getting the US government to adopt policies that would mitigate national security risks from AI. The Center for AI Policy is not connected to foreign governments or commercial AI developers and is instead committed to the public interest.* Center for AI Policy - https://www.aipolicy.us* LinkedIn - https://www.linkedin.com/in/thomas-larsen/* LessWrong - https://www.lesswrong.com/users/thomas-larsen-- Further resources --* Thomas' post, "What Everyone in Technical Alignment is Doing and Why" https://www.lesswrong.com/posts/QBAjndPuFbhEXKcCr/my-understanding-of-what-everyone-in-technical-alignment-is  * Please note this post is from Aug 2022. The podcast should be more up-to-date, but this post is still a valuable and relevant resource.

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• Ep 10 - Accelerated training to become an AI safety researcher w/ Ryan Kidd (Co-Director, MATS)

  We speak with Ryan Kidd, Co-Director at ML Alignment & Theory Scholars (MATS) program, previously "SERI MATS".MATS (https://www.matsprogram.org/) provides research mentorship, technical seminars, and connections to help new AI researchers get established and start producing impactful research towards AI safety & alignment.Prior to MATS, Ryan completed a PhD in Physics at the University of Queensland (UQ) in Australia.We talk about:* What the MATS program is* Who should apply to MATS (next *deadline*: Nov 17 midnight PT)* Research directions being explored by MATS mentors, now and in the past* Promising alignment research directions & ecosystem gaps , in Ryan's viewHosted by Soroush Pour. Follow me for more AGI content:* Twitter: https://twitter.com/soroushjp* LinkedIn: https://www.linkedin.com/in/soroushjp/== Show links ==-- About Ryan --* Twitter: https://twitter.com/ryan_kidd44* LinkedIn: https://www.linkedin.com/in/ryan-kidd-1b0574a3/* MATS: https://www.matsprogram.org/* LISA: https://www.safeai.org.uk/* Manifold: https://manifold.markets/-- Further resources --* Book: “The Precipice” - https://theprecipice.com/* Ikigai - https://en.wikipedia.org/wiki/Ikigai* Fermi paradox - https://en.wikipedia.org/wiki/Fermi_p...* Ajeya Contra - Bioanchors - https://www.cold-takes.com/forecastin...* Chomsky hierarchy & LLM transformers paper + external memory - https://en.wikipedia.org/wiki/Chomsky...* AutoGPT - https://en.wikipedia.org/wiki/Auto-GPT* BabyAGI - https://github.com/yoheinakajima/babyagi* Unilateralist's curse - https://forum.effectivealtruism.org/t...* Jeffrey Ladish & team - fine tuning to remove LLM safeguards - https://www.alignmentforum.org/posts/...* Epoch AI trends - https://epochai.org/trends* The demon "Moloch" - https://slatestarcodex.com/2014/07/30...* AI safety fundamentals course - https://aisafetyfundamentals.com/* Anthropic sycophancy paper - https://www.anthropic.com/index/towar...* Promising technical alignment research directions    * Scalable oversight        * Recursive reward modelling - https://deepmindsafetyresearch.medium...        * RLHF - could work for a while, but unlikely forever as we scale    * Interpretability        * Mechanistic interpretability            * Paper: GPT4 labelling GPT2 - https://openai.com/research/language-...        * Concept based interpretability            * Rome paper - https://rome.baulab.info/        * Developmental interpretability            * devinterp.com - http://devinterp.com            * Timaeus - https://timaeus.co/        * Internal consistency            * Colin Burns research - https://arxiv.org/abs/2212.03827* Threat modelling / capabilities evaluation & demos    * Paper: Can large language models democratize access to dual-use biotechnology? - https://arxiv.org/abs/2306.03809    * ARC Evals - https://evals.alignment.org/    * Palisade Research - https://palisaderesearch.org/    * Paper: Situational awareness with Owain Evans - https://arxiv.org/abs/2309.00667* Gradient hacking - https://www.lesswrong.com/posts/uXH4r6MmKPedk8rMA/gradient-hacking* Past scholar's work    * Apollo Research - https://www.apolloresearch.ai/    * Leap Labs - https://www.leap-labs.com/    * Timaeus - https://timaeus.co/* Other orgs mentioned    * Redwood Research - https://redwoodresearch.org/Recorded Oct 25, 2023

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