@jaydmaty

Research environment/game designer @GoogleDeepMind 🤖 puzzle artificer, taiko drummer, other things. Opinions mine. Prev: @DMGToronto @DamageLabs

 London, UK / Toronto
Joined April 2009
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84Media
An open letter to the @DMGToronto board of directors, and the wider DMG community -- medium.com/@jaydmaty/35a0129… Cc: @jennie

A Letter to the DMG Board and Community

To the DMG board of directors and the broader DMG community, past and present —

medium.com
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2/ New paper: Stabilising Generative Models of Attitude Change. We render two families of classic theory — cognitive dissonance (Festinger, Aronson) and self-perception (Bem) — as runnable simulations using Concordia, then put them through canonical experiments.
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1/ Would you eat a worm for science? In a 1975 experiment, most people who were told they had to — then unexpectedly offered a way out — went ahead and ate it anyway. We rebuilt that experiment, and two more, as LLM-agent simulations to explore classic theories of attitude change
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I was exiled from @DMGToronto three years ago, but I still have so much love for the community. Now, it's insolvent. A sad end, but I hope we can carry on the spirit of DMG – radical inclusion, free self-expression, and transformative play. My thoughts: soand.so/

So&So™

A group of people & partners working together to help build, grow & run the next generation of novel consumer products & brands.

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Very happy to launch Concordia, a library for generative agent-based modeling where you build simulations like tabletop roleplaying games! The game master (storyteller) is an agent who controls the environment where player agents interact, tracks state and can call external tools
Edgar Duenez-Guzman@DuenezGuzman7 Dec 2023
Extremely excited to share our work on Generative Agent-Based Modeling. We are open sourcing Concordia, a platform for creating social simulations with language models. Code: github.com/google-deepmind/c… Paper: arxiv.org/abs/2312.03664

GitHub - google-deepmind/concordia: A library for generative social simulation

A library for generative social simulation. Contribute to google-deepmind/concordia development by creating an account on GitHub.

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Language-mediated simulations of grounded environments where a Game Master (inspired by tabletop role-playing games) is responsible for simulating the environment. Work with Sasha Vezhnevets, John Agapiou, Avia Aharon, Ron Ziv, @jaydmaty @WilCunningham @sindero @DannyKarmon @jzl
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Extremely excited to share our work on Generative Agent-Based Modeling. We are open sourcing Concordia, a platform for creating social simulations with language models. Code: github.com/google-deepmind/c… Paper: arxiv.org/abs/2312.03664

GitHub - google-deepmind/concordia: A library for generative social simulation

A library for generative social simulation. Contribute to google-deepmind/concordia development by creating an account on GitHub.

github.com
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if you’re confused about how large language models work this new animation from google deepmind should clear a lot of things up
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super excited to annnounce the Melting Pot Challenge! a goalpost for multi-agent researchers: building socially robust and welfare-optimising agents! 🌈❤️✌🏾
Cooperative AI Foundation
@coop_ai4 Sep 2023
Together with colleagues from @GoogleDeepMind and @MIT, we're excited to announce that the Melting Pot Contest at #NeurIPS2023 is now live! We're offering $10,000 in prizes and $60,000 in additional support. Sign up here: aicrowd.com/challenges/melti….

AIcrowd | MeltingPot Challenge 2023 | Challenges

Multi-Agent Dynamics & Mixed-Motive Cooperation

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Together with colleagues from @GoogleDeepMind and @MIT, we're excited to announce that the Melting Pot Contest at #NeurIPS2023 is now live! We're offering $10,000 in prizes and $60,000 in additional support. Sign up here: aicrowd.com/challenges/melti….

AIcrowd | MeltingPot Challenge 2023 | Challenges

Multi-Agent Dynamics & Mixed-Motive Cooperation

aicrowd.com
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Excited to announce the Melting Pot Contest has been accepted for NeurIPS Competition Track! Sign up below for early access iryc1zmdzmb.typeform.com/to/…
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I’ve been writing a blog post on collaboration in science – it’s long, but there’s a summary/TL;DR (and a TL;DR of the TL;DR), and some nice photos to look at, too: nadinespy.github.io/posts/20… Some bits on what it’s about (mostly points from the post’s summary): 1/13

Collaboration in Science: Happier People ↔ Better Research

TL;DR

nadinespy.github.io
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#ALIFE2023 Here we go! 🦾
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Not a bad place to read a bit of Ted Chiang’s brilliant Exhalation in preparation for our conversation on Friday afternoon, as part of #ALIFE2023 in Sapporo 2023.alife.org/programme/pub…
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The duolingo owl
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I’m stepping down from the board of directors. I have been at _such_ a low capacity for quite a while now, and at this time feel it important to make room for others that may be better able to lead DMG towards and through some difficult but necessary changes.
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I wanted to share this letter ahead of the upcoming AGM in hopes that it will be received in good faith, and utilized in service of the growth/healing of this community as well as the rebuilding of trust within it 💜
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Watching @DaftLimmy play my friends @cloakanddaggerg and @WadjetEyeGames 'The Excavation of Hob's Barrow' and who should I see but Sydney from The Slaughter, and he's brought the bar with him😅
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How do we assess the moral capacities of artificial systems? One novel approach applies insights from developmental psychology to the grounded study of morality in AI. Work by @weidingerlaura, @mgreinecke, and Julia Haas: dpmd.ai/dm-amc
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Reinforcement learning agents can learn to cooperate, compete, and communicate in multi-agent settings. New research explores the emergence of micro-economic behaviour as agents learn to produce, consume, and trade resources in simulated worlds: dpmd.ai/Emergent-Bartering 1/
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