Finally reading Montaigne’s essays after picking up a copy at The Book Sale in Ithaca: https://www.booksale.org they are pretty baller
tkgilbert
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Riker Googlingklingon festivus rituals
Michael DennisIf anyone here on #SigmoidSocial is interested in understanding the effects our #AI or #RL systems have on society, I would encourage you to check out the communities Tom is organizing (two of which are linked below)
The design decisions and research directions of today, are fixtures and industries of tomorrow. It's always great to find spaces where these considerations are discussed openly and seriously
[https://sigmoid.social/@tkgilbert/109547206519360129 | CHI workshop]
[https://sigmoid.social/@tkgilbert/109538077146112536 | PERLS reading group]
tkgilbert (@[email protected])
Do you have policy ideas for societal-scale AI? AND want to design for new capabilities? Consider submitting to our #CHI2023 workshop: "Designing Platform Technology and Policy Simultaneously". More info here: http://designpolicy.one/ We are soliciting short position papers (1-2 pages) and short research papers (4-6 pages). Deadline is February 23, 2023--plenty of time to put something together!
@alex my partner has had that mindset since the 1990s. “Target run” is the new “let’s go to the mall”
@anatecture @Mer__edith Reward Reports would be a way to structure contracts to ensure more equitable distribution: https://rewardreports.github.io
Do you have policy ideas for societal-scale AI? AND want to design for new capabilities? Consider submitting to our #CHI2023 workshop: "Designing Platform Technology and Policy Simultaneously".
More info here: http://designpolicy.one/
We are soliciting short position papers (1-2 pages) and short research papers (4-6 pages). Deadline is February 23, 2023--plenty of time to put something together!
When large language models actually become good at boundary work, I think a lot of STS scholars may change their tune about them.
Michiel van de PanneJust a quick reminder of the many interesting talks / interviews on the "Talk RL" podcast: https://www.talkrl.com/
TalkRL: The Reinforcement Learning Podcast
TalkRL podcast is All Reinforcement Learning, All the Time. In-depth interviews with brilliant people at the forefront of RL research and practice. Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute. Hosted by Robin Ranjit Singh Chauhan.
Now that Musk destroyed Twitter, I am excited to (re)announce the (re)launch of PERLS for 2023! For those interested in participating, I am planning to purchase physical book copies of The Oxford Handbook of Ethics of AI and What We Owe The Future. If you wish to take part, @ me. I will have the book(s) sent straight to you. It'll be fun!