MIRI updates

• MIRI researcher Abram Demski writes regarding counterfactuals:
  

  I've felt like the problem of counterfactuals is "mostly settled" (modulo some math working out) for about a year, but I don't think I've really communicated this online. Partly, I've been waiting to write up more formal results. But other research has taken up most of my time, so I'm not sure when I would get to it.

  So, the following contains some "shovel-ready" problems. If you're convinced by my overall perspective, you may be interested in pursuing some of them. I think these directions have a high chance of basically solving the problem of counterfactuals (including logical counterfactuals). […]

• Alex Mennen writes a thoughtful critique of one of the core arguments behind Abram's new take on counterfactuals; Abram replies.
• Abram distinguishes simple Bayesians (who reason according to the laws of probability theory) from reflective Bayesians (who endorse background views that justify Bayesianism), and argues that simple Bayesians can better "escape the trap" of traditional issues with Bayesian reasoning.
• Abram explains the motivations behind his learning normativity research agenda, providing "four different elevator pitches, which tell different stories" about how the research agenda's desiderata hang together.

News and links

• CFAR co-founder Julia Galef has an excellent new book out on human rationality and motivated reasoning: The Scout Mindset: Why Some People See Things Clearly and Others Don't.
• Katja Grace argues that there is pressure for systems with preferences to become more coherent, efficient, and goal-directed.
• Andrew Critch discusses multipolar failure scenarios and "multi-agent processes with a robust tendency to play out irrespective of which agents execute which steps in the process".
• A second AI alignment podcast joins Daniel Filan's AI X-Risk Research Podcast: Quinn Dougherty's Technical AI Safety Podcast, with a recent episode featuring Alex Turner.
• A simple but important observation by Mark Xu: Strong Evidence is Common.

MIRI updates

• MIRI's Eliezer Yudkowsky and Evan Hubinger comment in some detail on Ajeya Cotra's The Case for Aligning Narrowly Superhuman Models. This conversation touches on some of the more important alignment research views at MIRI, such as the view that alignment requires a thorough understanding of AGI systems' reasoning "under the hood", and the view that early AGI systems should most likely avoid human modeling if possible.
• From Eliezer Yudkowsky: A Semitechnical Introductory Dialogue on Solomonoff Induction. (Also discussed by Richard Ngo.)
• MIRI research associate Vanessa Kosoy discusses infra-Bayesianism on the AI X-Risk Research Podcast.
• Eliezer Yudkowsky and Chris Olah discuss ML transparency on social media.

News and links

• Brian Christian, author of The Alignment Problem: Machine Learning and Human Values, discusses his book on the 80,000 Hours Podcast.
• Chris Olah's team releases Multimodal Neurons in Artificial Neural Networks, on artificial neurons that fire for multiple conceptually related stimuli.
• Vitalik Buterin reflects on Inadequate Equilibria's arguments in the course of discussing prediction market inefficiencies.

MIRI updates

• Abram Demski distinguishes different versions of the problem of “pointing at” human values in AI alignment.
• Evan Hubinger discusses “Risks from Learned Optimization” on the AI X-Risk Research Podcast.
• Eliezer Yudkowsky comments on AI safety via debate and Goodhart’s law.
• MIRI supporters donated ~$135k on Giving Tuesday, of which ~26% was matched by Facebook and ~28% by employers for a total of $207,436! MIRI also received $6,624 from TisBest Philanthropy in late December, largely through Round Two of Ray Dalio’s #RedefineGifting initiative. Our thanks to all of you!
• Spencer Greenberg discusses society and education with Anna Salamon and Duncan Sabien on the Clearer Thinking podcast.
• We Want MoR: Eliezer participates in a (spoiler-laden) discussion of Harry Potter and the Methods of Rationality.

News and links

• Richard Ngo reflects on his time in effective altruism:
  

  […] Until recently, I was relatively passive in making big decisions. Often that meant just picking the most high-prestige default option, rather than making a specific long-term plan. This also involved me thinking about EA from a “consumer” mindset rather than a “producer” mindset. When it seemed like something was missing, I used to wonder why the people responsible hadn’t done it; now I also ask why I haven’t done it, and consider taking responsibility myself.

  Partly that’s just because I’ve now been involved in EA for longer. But I think I also used to overestimate how established and organised EA is. In fact, we’re an incredibly young movement, and we’re still making up a lot of things as we go along. That makes proactivity more important.

  Another reason to value proactivity highly is that taking the most standard route to success is often overrated. […] My inspiration in this regard is a friend of mine who has, three times in a row, reached out to an organisation she wanted to work for and convinced them to create a new position for her.

• Ngo distinguishes claims about goal specification, orthogonality, instrumental convergence, value fragility, and Goodhart’s law based on whether they refer to systems at training time versus deployment time.
• Connor Leahy, author of The Hacker Learns to Trust, argues (among other things) that “GPT-3 is our last warning shot” for coordinating to address AGI alignment. (Podcast version.) I include this talk because it’s a good talk and the topic warrants discussion, though MIRI staff don’t necessarily endorse this claim — and Eliezer would certainly object to any claim that something is a fire alarm for AGI.
• OpenAI safety researchers including Dario Amodei, Paul Christiano, and Chris Olah depart OpenAI.
• OpenAI’s DALL-E uses GPT-3 for image generation, while CLIP exhibits impressive zero-shot image classification capabilities. Gwern Branwen comments in his newsletter.

MIRI updates

• MIRI’s Evan Hubinger uses a notion of optimization power to define whether AI systems are compatible with the strategy-stealing assumption.
• MIRI’s Abram Demski discusses debate approaches to AI safety that don’t rely on factored cognition.
• Evan argues that the first AGI systems are likely to be very similar to each other, and discusses implications for alignment.
• Jack Clark’s Import AI newsletter discusses the negative research results from our end-of-year update.
• Richard Ngo shares high-quality discussion of his great introductory sequence AGI Safety from First Principles, featuring Paul Christiano, Max Daniel, Ben Garfinkel, Adam Gleave, Matthew Graves, Daniel Kokotajlo, Will MacAskill, Rohin Shah, Jaan Tallinn, and MIRI’s Evan Hubinger and Buck Shlegeris.
• Tom Chivers discusses the rationality community and Rationality: From AI to Zombies. (Contrary to the headline, COVID-19 receives little discussion.)

News and links

• Alex Flint argues that growing the field of AI alignment researchers should be a side-effect of optimizing for “research depth”, rather than functioning as a target in its own right — much as software projects shouldn’t optimize for larger teams or larger codebases. Flint also comments on strategy/policy research.
• Daniel Kokotajlo of the Center on Long-Term Risk argues that AGI may enable decisive strategic advantage before GDP accelerates. Cf. a pithier comment from Eliezer Yudkowsky.
• TAI Safety Bibliographic Database: Jess Riedel and Angelica Deibel release a database of AI safety research, and analyze recent trends in the field.
• DeepMind’s AI safety team investigates optimality properties of meta-trained RNNs and the tampering problem: “How can we design agents that pursue a given objective when all feedback mechanisms for describing that objective are influenceable by the agent?”
• Facebook launches Forecast, a new community prediction platform akin to Metaculus.
• Effective altruists have released the microCOVID calculator, a very handy tool for assessing activities’ COVID-19 infection risk. Meanwhile, Zvi Mowshowitz’s weekly updates on LessWrong continue to be a good (US-centric) resource for staying up to date on COVID-19 developments such as the B117 variant.
• Rethink Priorities researcher Linchuan Zhang summarizes things he’s learned forecasting COVID-19 in 2020: forming good outside views is often hard; effective altruists tend to overrate superforecasters; etc.

MIRI COO Malo Bourgon reviews our past year and discusses our future plans in 2020 Updates and Strategy.

Our biggest update is that we've made less concrete progress than we expected on the new research we described in 2018 Update: Our New Research Directions. As a consequence, we're scaling back our work on these research directions, and looking for new angles of attack that have better odds of resulting in a solution to the alignment problem.

Other MIRI updates

• A new paper from MIRI researcher Evan Hubinger: "An Overview of 11 Proposals for Building Safe Advanced AI."
• A belated paper announcement from last year: Andrew Critch's "A Parametric, Resource-Bounded Generalization of Löb's Theorem, and a Robust Cooperation Criterion for Open-Source Game Theory", a result originally written up during his time at MIRI, has been published in the Journal of Symbolic Logic.
• MIRI's Abram Demski introduces Learning Normativity: A Research Agenda. See also Abram's new write-up, Normativity.
• Evan Hubinger clarifies inner alignment terminology.
• The Survival and Flourishing Fund (SFF) has awarded MIRI $563,000 in its latest round of grants! Our enormous gratitude to SFF's grant recommenders and funders.
• A Map That Reflects the Territory is a new print book set collecting the top LessWrong essays of 2018, including essays by MIRI researchers Eliezer Yudkowsky, Abram Demski, and Scott Garrabrant.
• DeepMind's Rohin Shah gives his overview of Scott Garrabrant's Cartesian Frames framework.

News and links

• Daniel Filan launches the AI X-Risk Research Podcast (AXRP) with episodes featuring Adam Gleave, Rohin Shah, and Andrew Critch.
• DeepMind's AlphaFold represents a very large advance in protein structure prediction.
• Metaculus launches Forecasting AI Progress, an open four-month tournament to predict advances in AI, with a $50,000 prize pool.
• Continuing the Takeoffs Debate: Richard Ngo responds to Paul Christiano's "changing selection pressures" argument against hard takeoff.
• OpenAI's Beth Barnes discusses the obfuscated arguments problem for AI safety via debate:
  
  

  Previously we hoped that debate/IDA could verify any knowledge for which such human-understandable arguments exist, even if these arguments are intractably large. We hoped the debaters could strategically traverse small parts of the implicit large argument tree and thereby show that the whole tree could be trusted.

  The obfuscated argument problem suggests that we may not be able to rely on debaters to find flaws in large arguments, so that we can only trust arguments when we could find flaws by recursing randomly—e.g. because the argument is small enough that we could find a single flaw if one existed, or because the argument is robust enough that it is correct unless it has many flaws.

   

• Some AI Research Areas and Their Relevance to Existential Safety: Andrew Critch compares out-of-distribution robustness, agent foundations, multi-agent RL, preference learning, and other research areas.
• Ben Hoskin releases his 2020 AI Alignment Literature Review and Charity Comparison.
• Open Philanthropy summarizes its AI governance grantmaking to date.

MIRI researcher Scott Garrabrant has completed his Cartesian Frames sequence. Scott also covers the first two posts' contents in video form.

Other MIRI updates

• Contrary to my previous announcement, MIRI won’t be running a formal fundraiser this year, though we’ll still be participating in Giving Tuesday and other matching opportunities. To donate and get information on tax-advantaged donations, employer matching, etc., see intelligence.org/donate. We’ll also be doing an end-of-the-year update and retrospective in the next few weeks.
• Facebook's Giving Tuesday matching event takes place this Tuesday (Dec. 1) at 5:00:00am PT.  Facebook will 100%-match the first $2M donated, something that will plausibly take only 2–3 seconds. To get 100%-matched, then, it's even more important than last year to start clicking at 4:59:59AM PT. Facebook will then 10%-match the next $50M of donations that are made. Details on optimizing your donation(s) to MIRI's Facebook Fundraiser can be found at EA Giving Tuesday, a Rethink Charity project.
• Video discussion: Stuart Armstrong, Scott Garrabrant, and the AI Safety Reading Group discuss Stuart's If I Were A Well-Intentioned AI….
• MIRI research associate Vanessa Kosoy raises questions about AI information hazards.
• Buck Shlegeris argues that we're likely at the “hinge of history” (assuming we aren't living in a simulation).
• To make it easier to find and cite old versions of MIRI papers (especially ones that aren't on arXiv), we've collected links to obsolete versions on intelligence.org/revisions.

News and links

• CFAR's Anna Salamon asks: Where do (did?) stable, cooperative institutions come from?
• The Center for Human-Compatible AI is accepting applications for research internships through Dec. 13.
• AI Safety (virtual) Camp is accepting applications through Dec. 15.
• The 4th edition of Artificial Intelligence: A Modern Approach is out, with expanded discussion of the alignment problem.
• DeepMind's Rohin Shah reviews Brian Christian's new book The Alignment Problem: Machine Learning and Human Values.
• Daniel Filan and Rohin Shah discuss security mindset and takeoff speeds.
• Fortune profiles existential risk philanthropist Jaan Tallinn.