Hide table of contents

Tl;dr

We are pleased to invite you to the second PIBBSS Symposium, where the fellows from the ‘24  fellowship program present their work. 

The symposium is taking place online, over several days in the week of September 9th

  • Check out the full program, including brief descriptions for each talk. (You can toggle between the different days.)
  • Register via this link. You will receive an email with the event link which you can use for the entire symposium. You will be able to drop into as few or as many presentations and breakout sessions as you like. 
  • Click here to add the schedule to your google calendar.

About PIBBSS

PIBBSS is a research initiative aiming  to explore parallels between intelligent behavior in natural and artificial systems, and to leverage these insights towards the goal of building safe and aligned AI. 

During June-August ‘24, we ran the second iteration of our 3-month research fellowship program. The symposium acts as a venue to share research conducted as part of this program. You can read about the last year symposium here, or watch recordings here.

About the symposium 

The PIBBSS Summer Symposium is a multi-day event where PIBBSS fellows present their work.  

The event is taking place on the days of Tuesday - Friday, Sept 10th - 13th, between 17:00-~21:00 GMT / 9:00 - 12:00 PT / 12:00 - 15:00 ET.

The event is set it up such that you can easily join whichever talks and breakout sessions you are most interesting in.

The program 

Find a program overview here

Find the full program here, including brief descriptions of each talk. 

On top of the talks, there will also be opportunities to continue the discussion with fellows at the end of each block in speaker-specific breakout rooms.

Talks span a wide range of topics in line with PIBBSS’s research mission. Some representative examples of topics include: 

  • novel avenues for interpretability 
  • naturalistic approaches to understanding the nature and emergence of agency and goal-directed behavior
  • attempts to develop a principled understanding of the dynamics emerging from multi-agent interactions in and across AI/LLM systems
  • analyses of the space of AI risks — from single to multiple agents, from misuse to structural risks, etc.
  • exploration of the potential and limits of existing legal tools for reducing catastrophic risks from AI 
  • ..and more!

The format

The symposium is taking place over the course of four days, in blocks of ~4 fellows. 

Each fellow presents for a total of 30 minutes, including some time for questions. 

At the end of each block, there will be speaker-specific break-out rooms to allow for further questions and discussions.

Example day: 

Day 1Starting time
Speaker 1  17:00 GMT          
Speaker 2  18:00 GMT
Speaker 3  19:00 GMT
Breakout/Discussion Rooms 
with Speakers 1-3 (in parallel)     
  20:00 GMT

How to engage

Register here to receive a link to the webinar. 

The same link works for the entire symposium. This allows you to tune in for exactly those talks and breakout sessions you’re most interested in!

If you cannot make it to a talk, worry not! Most talks will be recorded and can later be viewed at the PIBBSS YouTube Page.

Talks (overview)

For a full version of the agenda, including talk descriptions, see here. The times below are in GMT.

Tuesday, Sep 10th

17:00 - Solvable models of in-context learning - Nischal Mainali
18:00 - Factored Space Models: Causality Between Levels of Abstraction - Magdalena Wache
19:00 - Fixing our concepts to understand minds and agency: preliminary results - Mateusz Bagiński
20:00 - Break out session with the speakers

Wednesday, Sep 11th

17:00 - Features that Fire Together Wire Together: Examining Co-occurence of SAE
Features - Matthew A. Clarke
18:00 - Minimum Description Length for singular models - Yevgeny Liokumovich
19:00 - Are Neuro-Symbolic Approaches the Path to Safe LLM-Based Agents? - Agustín
Martinez-Suñé
20:00 - Heavy-tailed Noise & Stochastic Gradient Descent - Wesley Erickson
21:00 - Break out session with the speakers

Thursday, Sep 12th

17:00 - Exploring the potential of formal approaches to emergence for AI safety - Nadine Spychala
18:00 - What I've learned as a PIBBSS fellow, and what I plan to do with it - Shaun Raviv
19:00 - Searching for indicators of phenomenal consciousness in LLMs: Metacognition & higher-order theory - Euan McLean
20:00 - Break out session with the speakers

Friday, Sep 13th

17:00 - Dynamics of LLM beliefs during chain-of-thought reasoning - Baram Sosis
18:00 - Cultural Evolution of Cooperation in LLMs - Aron Vallinder
19:00 - The geometry of in-context learning - Jan Bauer
20:00 - Break out session with the speakers


We are looking forward to seeing you there!

No comments on this post yet.
Be the first to respond.
Curated and popular this week
 ·  · 23m read
 · 
Or on the types of prioritization, their strengths, pitfalls, and how EA should balance them   The cause prioritization landscape in EA is changing. Prominent groups have shut down, others have been founded, and everyone is trying to figure out how to prepare for AI. This is the first in a series of posts examining the state of cause prioritization and proposing strategies for moving forward.   Executive Summary * Performing prioritization work has been one of the main tasks, and arguably achievements, of EA. * We highlight three types of prioritization: Cause Prioritization, Within-Cause (Intervention) Prioritization, and Cross-Cause (Intervention) Prioritization. * We ask how much of EA prioritization work falls in each of these categories: * Our estimates suggest that, for the organizations we investigated, the current split is 89% within-cause work, 2% cross-cause, and 9% cause prioritization. * We then explore strengths and potential pitfalls of each level: * Cause prioritization offers a big-picture view for identifying pressing problems but can fail to capture the practical nuances that often determine real-world success. * Within-cause prioritization focuses on a narrower set of interventions with deeper more specialised analysis but risks missing higher-impact alternatives elsewhere. * Cross-cause prioritization broadens the scope to find synergies and the potential for greater impact, yet demands complex assumptions and compromises on measurement. * See the Summary Table below to view the considerations. * We encourage reflection and future work on what the best ways of prioritizing are and how EA should allocate resources between the three types. * With this in mind, we outline eight cruxes that sketch what factors could favor some types over others. * We also suggest some potential next steps aimed at refining our approach to prioritization by exploring variance, value of information, tractability, and the
 ·  · 5m read
 · 
[Cross-posted from my Substack here] If you spend time with people trying to change the world, you’ll come to an interesting conundrum: Various advocacy groups reference previous successful social movements as to why their chosen strategy is the most important one. Yet, these groups often follow wildly different strategies from each other to achieve social change. So, which one of them is right? The answer is all of them and none of them. This is because many people use research and historical movements to justify their pre-existing beliefs about how social change happens. Simply, you can find a case study to fit most plausible theories of how social change happens. For example, the groups might say: * Repeated nonviolent disruption is the key to social change, citing the Freedom Riders from the civil rights Movement or Act Up! from the gay rights movement. * Technological progress is what drives improvements in the human condition if you consider the development of the contraceptive pill funded by Katharine McCormick. * Organising and base-building is how change happens, as inspired by Ella Baker, the NAACP or Cesar Chavez from the United Workers Movement. * Insider advocacy is the real secret of social movements – look no further than how influential the Leadership Conference on Civil Rights was in passing the Civil Rights Acts of 1960 & 1964. * Democratic participation is the backbone of social change – just look at how Ireland lifted a ban on abortion via a Citizen’s Assembly. * And so on… To paint this picture, we can see this in action below: Source: Just Stop Oil which focuses on…civil resistance and disruption Source: The Civic Power Fund which focuses on… local organising What do we take away from all this? In my mind, a few key things: 1. Many different approaches have worked in changing the world so we should be humble and not assume we are doing The Most Important Thing 2. The case studies we focus on are likely confirmation bias, where
 ·  · 1m read
 · 
I wanted to share a small but important challenge I've encountered as a student engaging with Effective Altruism from a lower-income country (Nigeria), and invite thoughts or suggestions from the community. Recently, I tried to make a one-time donation to one of the EA-aligned charities listed on the Giving What We Can platform. However, I discovered that I could not donate an amount less than $5. While this might seem like a minor limit for many, for someone like me — a student without a steady income or job, $5 is a significant amount. To provide some context: According to Numbeo, the average monthly income of a Nigerian worker is around $130–$150, and students often rely on even less — sometimes just $20–$50 per month for all expenses. For many students here, having $5 "lying around" isn't common at all; it could represent a week's worth of meals or transportation. I personally want to make small, one-time donations whenever I can, rather than commit to a recurring pledge like the 10% Giving What We Can pledge, which isn't feasible for me right now. I also want to encourage members of my local EA group, who are in similar financial situations, to practice giving through small but meaningful donations. In light of this, I would like to: * Recommend that Giving What We Can (and similar platforms) consider allowing smaller minimum donation amounts to make giving more accessible to students and people in lower-income countries. * Suggest that more organizations be added to the platform, to give donors a wider range of causes they can support with their small contributions. Uncertainties: * Are there alternative platforms or methods that allow very small one-time donations to EA-aligned charities? * Is there a reason behind the $5 minimum that I'm unaware of, and could it be adjusted to be more inclusive? I strongly believe that cultivating a habit of giving, even with small amounts, helps build a long-term culture of altruism — and it would