Into AI Safety
The Into AI Safety podcast aims to make it easier for everyone, regardless of background, to get meaningfully involved with the conversations surrounding the rules and regulations which should govern the research, development, deployment, and use of the technologies encompassed by the term "artificial intelligence" or "AI" For better formatted show notes, additional resources, and more, go to https://kairos.fm/intoaisafety/
Episodes
Sean McGregor and I discuss about why evaluating AI systems has become so difficult; we cover everything from the breakdown of benchmarking, how incentives shape safety work, and what approaches like BenchRisk (his recent paper at NeurIPS) and AI auditing aim to fix as systems move into the real world. We also talk about his history and journey in AI safety, including his PhD on ML for public policy, how he started the AI ...
Philosopher Dr. David Thorstad tears into one of AI safety's most influential arguments: the singularity hypothesis. We discuss why the idea of recursive self-improvement leading to superintelligence doesn't hold up under scrutiny, how these arguments have redirected hundreds of millions in funding away from proven interventions, and why people keep backpedaling to weaker versions when challenged.
David walks through the ac...
Alistair Lowe-Norris, Chief Responsible AI Officer at Iridius and co-host of The Agentic Insider podcast, joins to discuss AI compliance standards, the importance of narrowly scoping systems, and how procurement requirements could encourage responsible AI adoption across industries. We explore the gap between the empty promises companies provide and actual safety practices, as well as the importance of vigilance and contin...
I'm joined by my good friend, Li-Lian Ang, first hire and product manager at BlueDot Impact. We discuss how BlueDot has evolved from their original course offerings to a new "defense-in-depth" approach, which focuses on three core threat models: reduced oversight in high risk scenarios (e.g. accelerated warfare), catastrophic terrorism (e.g. rogue actors with bioweapons), and the concentration of wealth and power (e.g. sup...
Andres Sepulveda Morales joins me to discuss his journey from three tech layoffs to founding Red Mage Creative and leading the Fort Collins chapter of the Rocky Mountain AI Interest Group (RMAIIG). We explore the current tech job market, AI anxiety in nonprofits, dark patterns in AI systems, and building inclusive tech communities that welcome diverse perspectives.
Reach out to Andres on his LinkedIn, or check out the R...
Will Petillo, onboarding team lead at PauseAI, joins me to discuss the grassroots movement advocating for a pause on frontier AI model development. We explore PauseAI's strategy, talk about common misconceptions Will hears, and dig into how diverse perspectives still converge on the need to slow down AI development.
Will's Links
- Personal blog on AI
- His mindmap of the AI x-risk debate
- Game demos
- AI focused YouTube channel
I am joined by Tristan Williams and Felix de Simone to discuss their work on the potential of constituent communication, specifically in the context of AI legislation. These two worked as part of an AI Safety Camp team to understand whether or not it would be useful for more people to be sharing their experiences, concerns, and opinions with their government representative (hint, it is).
Check out the blogpost on their find...
The almost Dr. Igor Krawczuk joins me for what is the equivalent of 4 of my previous episodes. We get into all the classics: eugenics, capitalism, philosophical toads... Need I say more?
If you're interested in connecting with Igor, head on over to his website, or check out placeholder for thesis (it isn't published yet).
Because the full show notes have a whopping 115 additional links, I'll highlight some that I think are p...
As always, the best things come in 3s: dimensions, musketeers, pyramids, and... 3 installments of my interview with Dr. Peter Park, an AI Existential Safety Post-doctoral Fellow working with Dr. Max Tegmark at MIT.
As you may have ascertained from the previous two segments of the interview, Dr. Park cofounded StakeOut.AI along with Harry Luk and one other cofounder whose name has been removed due to requirements of her curr...
Join me for round 2 with Dr. Peter Park, an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. Dr. Park was a cofounder of StakeOut.AI, a non-profit focused on making AI go well for humans, along with Harry Luk and one other individual, whose name has been removed due to requirements of her current position.
In addition to the normal links, I wanted to include the links to the petitions that Dr. ...
UPDATE: Contrary to what I say in this episode, I won't be removing any episodes that are already published from the podcast RSS feed.
After getting some advice and reflecting more on my own personal goals, I have decided to shift the direction of the podcast towards accessible content regarding "AI" instead of the show's original focus. I will still be releasing what I am calling research ride-along content to my Patreon, ...
Dr. Peter Park is an AI Existential Safety Postdoctoral Fellow working with Dr. Max Tegmark at MIT. In conjunction with Harry Luk and one other cofounder, he founded StakeOut.AI, a non-profit focused on making AI go well for humans.
00:54 - Intro
03:15 - Dr. Park, x-risk, and AGI
08:55 - StakeOut.AI
12:05 - Governance scorecard
19:34 - Hollywood webinar
22:02 - Regulations.gov comments
23:48 - Open letter...
Take a trip with me through the paper Large Language Models, A Survey, published on February 9th of 2024. All figures and tables mentioned throughout the episode can be found on the Into AI Safety podcast website.
00:36 - Intro and authors
01:50 - My takes and paper structure
04:40 - Getting to LLMs
07:27 - Defining LLMs & emergence
12:12 - Overview of PLMs
15:00 - How LLMs are built
18:52 - Limitation...
Esben reviews an application that I would soon submit for Open Philanthropy's Career Transitition Funding opportunity. Although I didn't end up receiving the funding, I do think that this episode can be a valuable resource for both others and myself when applying for funding in the future.
Head over to Apart Research's website to check out their work, or the Alignment Jam website for information on upcoming hackathons.
Before I begin with the paper-distillation based minisodes, I figured we would go over best practices for reading research papers. I go through the anatomy of typical papers, and some generally applicable advice.
00:56 - Anatomy of a paper
02:38 - Most common advice
05:24 - Reading sparsity and path
07:30 - Notes and motivation
Links to all articles/papers which are mentioned throughout the episode can be found belo...
Join our hackathon group for the second episode in the Evals November 2023 Hackathon subseries. In this episode, we solidify our goals for the hackathon after some preliminary experimentation and ideation.
Check out Stellaric's website, or follow them on Twitter.
01:53 - Meeting starts
05:05 - Pitch: extension of locked models
23:23 - Pitch: retroactive holdout datasets
34:04 - Preliminary results
37:44 - Next st...
I provide my thoughts and recommendations regarding personal professional portfolios.
00:35 - Intro to portfolios
01:42 - Modern portfolios
02:27 - What to include
04:38 - Importance of visual
05:50 - The "About" page
06:25 - Tools
08:12 - Future of "Minisodes"
Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.
Darryl and I discuss his background, how he became interested in machine learning, and a project we are currently working on investigating the penalization of polysemanticity during the training of neural networks.
Check out a diagram of the decoder task used for our research!
01:46 - Interview begins
02:14 - Supernovae classification
08:58 - Penalizing polysemanticity
20:58 - Our "toy model"
30:06 - Task descrip...
A summary and reflections on the path I have taken to get this podcast started, including some resources recommendations for others who want to do something similar.
Links to all articles/papers which are mentioned throughout the episode can be found below, in order of their appearance.
This episode kicks off our first subseries, which will consist of recordings taken during my team's meetings for the AlignmentJams Evals Hackathon in November of 2023. Our team won first place, so you'll be listening to the process which, at the end of the day, turned out to be pretty good.
Check out Apart Research, the group that runs the AlignmentJamz Hackathons.
Links to all articles/papers which are mentioned thr...
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