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Since people are checking out #Mastodon, where the lack of a recommendation algorithm is a feature, not a bug, it might be a good time to return to rss readers. I've been using The Old Reader off and on, as my google reader replacement. Mastodon has some rss features too.

theoldreader.com

Thinking about FTX and its entanglement with effective altruism, I have long had misgivings about both the philosophical position and its adoption by corporations. 

In addition to the usual problems with utilitarianism, I am particularly concerned by its epistemic naïveity (esp. in longtermism), use as corporate whitewash, and emptiness in addressing meaningful structural change. [Amia Srinivasan's review](lrb.co.uk/the-paper/v37/n18/am) of _Doing Good Better_ captures this well:

"[E]ffective altruism, so far at least, has been a conservative movement, calling us back to where we already are: the world as it is, our institutions as they are. MacAskill does not address the deep sources of global misery – international trade and finance, debt, nationalism, imperialism, racial and gender-based subordination, war, environmental degradation, corruption, exploitation of labour – or the forces that ensure its reproduction. Effective altruism doesn’t try to understand how power works, except to better align itself with it. In this sense it leaves everything just as it is. This is no doubt comforting to those who enjoy the status quo – and may in part account for the movement’s success."

The entire review is well worth a read if you are interested in EA and ethics.

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The Guest House, by Rumi 

This being human is a guest house.
Every morning a new arrival.

A joy, a depression, a meanness,
some momentary awareness comes
as an unexpected visitor.

Welcome and entertain them all!
Even if they’re a crowd of sorrows,
who violently sweep your house
empty of its furniture,
still, treat each guest honorably.
He may be clearing you out
for some new delight.

The dark thought, the shame, the malice,
meet them at the door laughing,
and invite them in.

Be grateful for whoever comes,
because each has been sent
as a guide from beyond.

Taken from SELECTED POEMS by Rumi, Translated by Coleman Barks (Penguin Classics, 2004).

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I'm taking a break from the Twitter fiasco to appreciate this video of [a baby chimpanzee being reunited with his mother after needing medical aid](ksn.com/news/local/its-a-boy-s). Aagh, my heart!

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@rgs From **The Second Coming** by William Butler Yeats-- an old favorite! It is metal AF.

[This](twitterisgoinggreat.com/) will likely save you time if you can't help but follow the Twitter dumpster fire.

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"Just a few hundred million years after the Big Bang, there are already lots of galaxies," says Tommaso Treu, an astronomer at the University of California at Los Angeles. "JWST has opened up a new frontier, bringing us closer to understanding how it all began."

npr.org/2022/11/17/1137406917/

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"The whole problem with the world is that fools and fanatics are always so certain of themselves, but wiser people are so full of doubt." – Bertrand Russell, paraphrased from The Triumph of Stupidity”, Mortals and Others: Bertrand Russell's American Essays, 1931-1935

twitter.com/MNateShyamalan/sta

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Unsealed documents in the #CambridgeAnalytica class action lawsuit in Northern California revealed how Meta/Facebook will be unable to comply with the Digital Services Act or the GDPR because its internal data management systems are absolute “anarchy” per report by the Irish Council on Civil Liberties.

#DSA #GDPR #DataProtection #Privacy
iccl.ie/news/unsealed-court-do

Evidence for persuasiveness of anecdotes 

Spotted on the birdsite from Ryan Briggs.

More illustration of a good story being more powerful than good data for changing minds.

“Among all forms of evidence tested, anecdotal evidence performs best, followed by experimental evidence”

link.springer.com/article/10.1

#ML Paper: Closed-form continuous-time neural networks

"...we obtain models that are between one and five orders of magnitude faster in training and inference compared with differential equation-based counterparts."

Paper: nature.com/articles/s42256-022

Article:
techxplore.com/news/2022-11-br

#MachineLearning #AI

[This](vox.com/future-perfect/2346233) interview with Sam Bankman-Fried has me gobsmacked. He says all the stuff out loud that he shouldn't. I almost feel bad for his lawyers. Almost.

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Y’all, if you’re getting frustrated you’re not seeing the content you want to like news or intel you need on Mastodon, you really need to shift your thinking from algorithmic social media. Follower counts don’t matter much here. Likes do not matter to post reach. Without your interaction, you will just see a live FIFO firehose. Some quick fixes:

Hashtag your posts liberally and consistently, and follow key hashtags of interest to you. Hashtags matter a ton here to being seen.

Follow and also alert on accounts you always want to see content from.

Consider using the built in RSS feature for your feeds and for specific hashtags.

Consider switching to the more advanced UI in your preferences, so you can watch multiple filtered and unfiltered feeds. Or a different mobile app.

Use Fedifinder to follow all the accounts you followed on Twitter, and sync up your follow and block lists.

Avail yourself of the multiple public lists of hundreds of journalist accounts on Mastodon.

#mastodontips

[Bumblebees play](tiktok.com/@science_is_real/vi)! I shouldn't be too surprised since other insects show the capacity for emotion. Fruit flies apparently get down when being rejected by potential mates and [drink four times more alcohol](science.org/doi/abs/10.1126/sc) than successful ones.

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Haha ex-Twitter employees have created their own Mastodon instance 😅

"This server is intended for current and previous twitter employees and their friends/family. We filter signups to try keep the server focused for community reasons." - macaw.social/about/more

Welcome to the Fediverse! :)

#Mastodon

I recently stumbled into an interesting paper summarizing learning strategies:
> [Teaching the science of learning](ncbi.nlm.nih.gov/pmc/articles/) The science of learning has made a considerable contribution to our understanding of effective teaching and learning strategies. However, few instructors outside of the field are privy to this research. In this tutorial review, we focus on six specific cognitive strategies that have received robust support from decades of research: spaced practice, interleaving, retrieval practice, elaboration, concrete examples, and dual coding. We describe the basic research behind each strategy and relevant applied research, present examples of existing and suggested implementation, and make recommendations for further research that would broaden the reach of these strategies.

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