Damns, this one made me think:
"I sort of wish I had a better hobby than reading hacker news. Today I saw a house for sale, built in the 80s, lots of outdoor entertainment stuff for neighborhood parties. Vacant, crumbling, dead. Reminded me. Kids, seriously, this used to really happen. Every day, all the neighborhood kids would play ball games at somebody’s house, and the adults would walk over for about an hour and talk to each other. Adults all tried to outdo each other for the nicest house and best backyard for this kind of thing. Nobody does this anymore. Might as well buy that trailer in Space Park Way and a VR headset. I always thought RP1 was so banal; I was hoping for a more nuanced and unpredictable dystopia."
[via jl2718 on HN](https://news.ycombinator.com/item?id=23208941)
Mediacompetency/naziradar/evopsych bullshit detection exercise. Can you spot why this article rubbed me the wrong way and what tricks they use?
Much love for a fellow spoil sport https://twitter.com/fchollet/status/1214392496375025664 with much more academic credibility
https://arxiv.org/pdf/2001.00006.pdf Seem it's not just Stross and my thinking of links between social (adaptive) systems and machine learning
Worthwhile quick read, good enough to stimulate taking notes and writing a quick blog post https://blog.krawczuk.eu/some-thoughts-on-deep-work-by-cal-newport
I have been hoping for something like this for AGES, finally found it exists in small forms already: there was a negative result workshop at CVPR2017 http://negative.vision
(and a journal for intersting negative results: http://jinr.site.uottawa.ca/, but it seems dead).
arxiv.org helps a lot in reducing publication bias in ML research, but I think we should incentivize people keeping track and publishing all their silly or unfinished ideas as well.
There is a dissenting opinion on whether they are worth it though: https://luckytoilet.wordpress.com/2018/03/07/publishing-negative-results-in-machine-learning-is-like-proving-dragons-dont-exist/
Finally finished this one. Not gonna lie, it was a slog to get through, lots of dates and events spun together. I'd still say I'm glad I read it though, because it does *does* provide a good account of financial crises, gives the evolution of causal hypotheses and reactions to it, and has some pretty pithy comments. For those who want to get the TL;DR, it provides that in chapter 15
Horrifying. Signal boost: https://www.youtube.com/watch?v=1RXzfT1aMNU
Vive la france https://news.ycombinator.com/item?id=20412260
The french continue to fuck around much less than the rest of the world, as also evidence by this image https://imgur.com/a/gD5ihm9
I hope they don't succumb to the authoritorian streak Macron seems to bring with him to achieve his (maybe?) admirable goals...I prefer them as barely contained anarchists
Jetzt wo der Gründungsverein gegründet ist, wird es höchste Zeit, sich als Interessent für die Hacker eG registrieren zu lassen, damit man einmal als "Alter Genosse" oder "Alte Gründerin" in die Geschichte eingehen kann.
Infovideo und Registrierungsanweisung hier: https://media.ccc.de/v/35c3chaoswest-37-hacker-eg-genossenschaft-fr-chaosnahes-wirtschaften
TIL switzerland has a 80$/tonne carbon tax
2019 Evergreen Donor Drive (one-time donations)
Schon mehr als 1000 Leute haben über http://Pledge2019.eu im Europaparlament angerufen und 84 Abgeordnete überzeugt gegen #Artikel13 zu stimmen. Mit deiner Spende hilfst du uns diese Kosten zu decken und noch mehr Druck aufzubauen:
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What. The. Fuck. Germany.
We did this already.
Let's hope the mainstream takes note and is able to effect drastic reform (young people protesting for climate change being mocked and the *social democratic party* blocking tax transparency in europe indicates no) or at least will be able to channel the revolutionary potential into a productive direction...but I can see the powder stack growing currently, and it worries me. The breeding ground for (political) violence is prepared this way
very nice resource for those interested in explainable AI/ML: https://christophm.github.io/interpretable-ml-book/
sharing this because the meme that "we don't understand DNNs" is less and less true with current research trends and needs to DIE.
If I get interest, I can also share my collection on papers doing more theoretical analysis, proving bounds etc
Sharing interesting finds I encounter during my research. Topics include: ML/AI,psychology,neuroscience, neuromorphic memristives, economics, consciousness, complex systems
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