Stay up to date with the work we're doing to reduce catastrophic risks from AI races. Here you can find posts about our research results, software tools, and community developments. While we love sharing our insights, we always make sure that they aren't considered information hazards. Therefore, some of our research isn't publicly available.

    $83,000 grant awarded to Modeling Cooperation

    January 2, 2022

    We’re excited to announce that we received funding from the Survival and Flourishing Fund (SFF) for the third time in a row. The $83,000 grant funded by Jaan Tallinn enables us to continue to fund our current team for the entire year of 2022 and even very slightly expand Modeling Cooperation. We're looking forward to advancing our research and ongoing collaborations — so please reach out to us in case you are interested in discussing how we could work together.

    Progress report 2021-H1

    September 19, 2021

    We’re delighted to introduce our third progress report which provides an overview of the work we conducted in the first half-year of 2021. The report summarizes our accomplishments including authoring a technical report about our evaluation of the Windfall Clause policy and starting a collaboration with Robert Trager to build a web app implementing an AI race model. It also highlights the roadblocks we encountered as well as any updates to our strategy and future goals since our previous progress report.

    Progress report 2020-H2

    February 12, 2021

    We’re happy to share our second progress report which summarizes the work we’ve been doing during the second half-year of 2020. In addition to elaborating on our accomplishments and roadblocks, the report also reflects any changes to our team, strategy, and future goals since our previous progress report.

    How we implement computational models

    January 19, 2021

    While implementing our model, we created a write-up in which we identify three foundational issues with scientific model implementations and describe how we address them: Reliability, composability, and sustainability. In addition to ensuring our model’s reproducibility and accuracy, we hope to provide a starting point for a technological foundation that enables others to create high-quality agent-based models.

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    $74,000 grant awarded to Modeling Cooperation

    December 9, 2020

    We’re proud to announce that we received a $74,000 grant from Jaan Tallinn (via SFF) to continue our research in 2021. Thanks to this contribution, we're looking forward to further advancing our research on improving cooperation in races toward transformative AI and making computational approaches less of a neglected topic in AI governance.

    Release of the Monte Carlo simulation tool bl.cli

    November 22, 2020

    As part of our agent-based modeling approach, we released version 1.0.0 of bl.cli, a tool to run Monte Carlo simulations of our model. We initially built bl.cli to make it easier for our economists to produce data to quickly compare race results under heuristic strategies. bl.cli runs the Monte Carlo simulation and streams the results to a file. It has grown into a tool that allows anyone comfortable with command-line applications to run Monte Carlo simulations of our model and, in the long run, reproduce our results.

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    Progress report 2020-H1

    August 9, 2020

    Wondering what Modeling Cooperation has been up to lately? We're excited to share our first progress report which focuses on the first half-year of 2020. The report introduces our team members, explains our strategy, elaborates on our accomplishments as well as roadblocks, and discusses our future goals.