RSS feeds to start 2025 with
Here’s a snapshot of the RSS feeds I read via elfeed-org.
There is a bit more work to improve this process in 2025 I’ll address down the line. Like, assuming I continue to feed hoard, I’ll need to find ways to filter the signal out of the this firehouse. Also, I’d like to move this list out of my sync workflow into version control under my Emacs config repo.
#+title: Elfeed
#+STARTUP: show2levels
* root :elfeed:
** AI :ai:
*** [[https://aiguide.substack.com/feed][AI Guide]]
Melanie Mitchell
*** [[https://www.answer.ai/index.xml][Answer.ai]]
Practical AI R&D
*** [[https://arcprize.org/feed][ARC Prize]]
The ARC Prize competition.
*** [[https://buildcognitiveresonance.substack.com/feed][Cognitive Resonance]]
*** [[https://www.dwarkeshpatel.com/feed][Dwarkesh Podcast]]
AI / technology interviews. Fantastic interviewees and Dwarkesh Patel
is an interviewer humble enough to ask great questions.
Notes [[file:notes/20240306T180419--llms__ai.org::#h:15f7f406-ffb7-443a-a4a7-43a7c8325dcf][here]].
*** [[https://www.oneusefulthing.org/feed][Ethan Mollick]]
#+BEGIN_QUOTE
a research-based view on the implications of AI, by me, Prof. Ethan
Mollick (and, no, I don’t use AI to write this, so forgive the
spelling and grammar issues). Free resources and prompts are compiled
at More Useful Things. You might also be interested in my New York
Times bestselling book, Co-Intelligence.
#+END_QUOTE
*** [[https://openai.com/blog/rss.xml][OpenAI]]
The official OpenAI blog.
*** [[https://bair.berkeley.edu/blog/feed.xml][BAIR]]
The Berkeley Artifical Intelligence Research Blog.
*** [[http://feeds.feedburner.com/blogspot/gJZg][Google AI]]
The official Google AI blog.
*** [[https://medium.com/feed/@karpathy][Andrej Karpathy]]
Andrej Karpathy's AI blog.
TODO: not currently working
*** [[https://www.microsoft.com/en-us/research/feed][Microsoft Research]]
Microsoft's research blog.
*** [[http://feeds.feedburner.com/miriblog][Machine Intelligence Research Institute]]
*** [[https://www.alignment.org/blog/rss][Alignment Research Center]]
AI alignment; [[file:notes/20240306T180419--llms__ai.org::#h:6f86c60f-4a8e-4ac8-86ea-fd1f39b87894][Paul Christiano]]
*** [[https://thezvi.substack.com/feed][Zvi Mowshowitz]]
Don't worry about the vase.
*** [[https://roonscape.ai/feed][roon]]
Appears defunct :(
*** [[https://milesbrundage.substack.com/feed][Miles Brundage]]
AI policy wonk
*** [[https://www.aisnakeoil.com/feed][AI Snake Oil]]
Sayash Kapoor and Arvind Narayanan
*** [[https://nosetgauge.substack.com/feed][No Set Gauge]]
L Randolf L
** Books :books:
*** [[https://www.commonreader.co.uk/feed][The Common Reader]]
Henry Oliver
** Emacs :emacs:
See a more thorough list [[https://gist.github.com/clemera/a9cdb383b6d09765369cbdd9b125653e#file-emacs_feeds-L10][here]].
*** [[http://yummymelon.com/devnull/feeds/all.atom.xml][Charles Choi]]
Dev'd Emacs Casual Suite.
*** [[https://sachachua.com/blog/feed][sachac]]
The one and only Sacha Chua
*** [[https://www.youtube.com/feeds/videos.xml?channel_id=UCuj_loxODrOPxSsXDfJmpng][Andrew Tropin]] :youtube:rde:guix:
*** [[https://www.youtube.com/feeds/videos.xml?channel_id=UCAiiOTio8Yu69c3XnR7nQBQ][System Crafters]] :youtube:guix:
@daviwil -- guide for building out emacs / guix / etc
*** [[https://mac4translators.blogspot.com/feeds/posts/default][Jean-Christophe Helary]]
mac4translators
*** [[https://emacsredux.com/atom.xml][Bozhidar Batsov]]
batsov Emacs blog.
*** [[https://www.masteringemacs.org/feed][Mastering Emacs]]
"mastering the world’s best text editor"
*** [[http://xenodium.com/rss.xml][xenodium]]
Álvaro Ramírez
*** [[https://karthinks.com/index.xml][karthinks]]
Karthik Chikmagalur
*** [[https://flandrew.srht.site/listful/feed/all.xml][Listful Andrew]]
=`(emacs lisp bash ,@functional-programming)=
*** [[https://emacsair.me/feed.xml][Emacs Air]]
Tarsius
*** [[https://olddeuteronomy.github.io/index.xml][The Emacs Cat]]
Old Deuteronomy
*** [[http://irreal.org/blog/?tag=emacs&feed=rss2][Irreal]]
The minds had long ago come up with a proper name for it; they called
it the Irreal, but they thought of it as Infinite Fun. That was what
they really knew it as. The Land of Infinite Fun. –Iain M. Banks,
Excession
*** [[https://protesilaos.com/codelog.xml][Protesilaos Stavrou]]
** Tools :tools:
*** [[https://nyxt.atlas.engineer/feed][nyxt]] :guix:lisp:
Some day this thing is going to kill it, I'm watching in the meantime.
*** [[https://www.gnu.org/software/guile/news/feed.xml][Guile]] :guile:guix:
*** [[https://guix.gnu.org/feeds/blog.atom][Guix]] :guile:guix:
** Physics :physics:
*** [[https://scottaaronson.blog/?feed=rss2][Shtetl-Optimized]]
Scott Aaronson's blog. A bit too much culture in a bit too little physics, but
the guy himself is wonderfully brilliant.
** Music :music:
*** [[https://noisenarrative.substack.com/feed][Noise Narrative]]
** Tech :tech:
*** [[https://www.anildash.com/feed.xml][Anil Dash]]
A blog about making culture. Since 1999.
*** [[https://antirez.com/rss][antirez]]
*** [[https://danluu.com/atom.xml][Dan Luu]]
A tech blog written by Dan Luu.
*** [[https://apenwarr.ca/log/rss.php][apenwarr]]
Avery Pennarun, co-founder and CEO of Tailscale.
*** [[https://100r.co/links/rss.xml][Hundred Rabbits]]
Rek and Devine on the Pino.
*** [[https://drewdevault.com/blog/index.xml][Drew DeVault]]
incomparable curmudgeon sircmpwin
*** [[https://blog.jim-nielsen.com/feed.xml][Jim Nielsen]]
*** [[https://www.schneier.com/blog/atom.xml][Schneier on Security]]
*** [[http://grugq.tumblr.com/rss][Hacker Tradecraft]]
*** [[https://julialang.org/feed.xml][JuliaLang]]
The Julia programming language
*** [[https://simonwillison.net/atom/everything/][Simon Willison]]
Simon Willison's Weblog
*** [[https://mcfunley.com/feed.xml][McFunley]]
Dan McKinley
*** [[https://buttondown.com/justenoughinternet/rss][Just Enough Internet]]
Rachel Coldicutt
*** [[https://javisantana.com/feed][Javi Santana]]
Pixels are the humble bricks with which one can build cathedrals.
*** [[http://jvns.ca/atom.xml][Julia Evans]]
*** [[http://steve-yegge.blogspot.com/feeds/posts/default][Steve Yegge]]
*** [[https://vickiboykis.com/index.xml][Vicki Boykis]]
★❤✰ Vicki Boykis ★❤✰
*** [[https://rachelbythebay.com/w/atom.xml][Rachel by the Bay]]
*** [[https://valatka.dev/feed][Lukas Valatka]]
** Statistics :stats:
*** [[http://freerangestats.info/feed][free range statistics]]
*** [[https://eranraviv.com/category/blog/feed][Eran Raviv]]
*** [[https://statmodeling.stat.columbia.edu/feed/][Columbia Stats (Gelman)]]
** Linux :linux:
*** [[https://kde.org/index.xml][KDE]]
** Healthcare :healthcare:
*** [[https://peterattiamd.com/feed/][Peter Attia]]
*** [[https://paddybarrett.substack.com/feed][Dr. Paddy Barrett]]
** Mathematics :math:
*** [[https://gregorygundersen.com/feed.xml][Gregory Gundersen]]
** Medicine :medicine:
*** [[https://www.drugdevletter.com/feed][The Drug Development Letter]]
*** [[https://erictopol.substack.com/feed][Ground Truths]]
Eric Topol's substack.
*** [[https://www.sensible-med.com/feed][Sensible Medicine]]
*** [[https://www.drvinayprasad.com/feed][Vinay Prasad]]
Binary Prasad's Observations and Thoughts
** Psychology :psychology:
*** [[https://smallpotatoes.paulbloom.net/feed][Small Potatoes]]
** Philosophy :philosophy:
*** [[https://www.astralcodexten.com/feed][Astral Codex Ten]]
Scott Alexander's substack.
*** [[https://www.lesswrong.com/feed.xml?view=curated-rss][LessWrong]]
#+begin_quote
LessWrong is an online forum and community dedicated to improving
human reasoning and decision-making. We seek to hold true beliefs and
to be effective at accomplishing our goals. Each day, we aim to be
less wrong about the world than the day before.
#+end_quote
*** [[https://joecarlsmith.com/rss.xml][Joe Carlsmith]]
#+begin_quote
I'm a writer, researcher, and philosopher. I work as a senior research
analyst at Open Philanthropy, where I focus on existential risk from
advanced artificial intelligence. I also write independently about
various topics in philosophy and futurism, and I have a doctorate in
philosophy from the University of Oxford.
#+end_quote
** Policy :policy:
*** [[https://www.unpopularfront.news/feed][Unpopular Front]]
John Ganz
*** [[https://www.eatingpolicy.com/feed][Jennifer Pahlka]]
Eating Policy
** Journo :journo:
*** [[https://www.slowboring.com/feed][Slow Boring]]
Matthew Yglesias
*** [[https://www.bloomberg.com/opinion/authors/ARbTQlRLRjE/matthew-s-levine.rss][Matt Levine]]
Matt Levine's Bloomberg Opinion column.
*** [[https://feeds.feedblitz.com/marginalrevolution&x=1][Tyler Cowen]]
*** [[https://fetchrss.com/rss/6709e654de63a5ac010d91526709e6247ff83384dc022662.xml][Gwern]]
** VC :VC:
*** [[https://zachholman.com/atom.xml][Zach Holman]]
** Economics :econ:
*** [[https://kyla.substack.com/feed][Kyla Scanlon]]
Kyla's Newsletter -- human-centric economic analysis to help all of us understand the world better
*** [[https://www.noahpinion.blog/feed][Noahpinion]]
- Neoliberal angle
- Noah Smith
*** [[https://www.cremieux.xyz/feed][Cremieux Recueil]]
*** [[https://paulkrugman.substack.com/feed][Krugman wonks out]]
Paul Krugman on economics and more.
*** [[https://www.natesilver.net/feed][Nate Silver]]
Frankly, he fits in no category.
** Futurism :futurism:
*** [[https://www.overcomingbias.com/feed][Overcoming Bias]]
Robin Hanson
Org blog interactive graphing options
I’m searching for a javascript graphing library to spruce up this org / Hugo / Emacs blog. In addition to drawing great graphs, the library should produce visualizations which are:
- Interactive
- Resizable
- Relatively lightweight
tl;dr: Charts.js integrates easily with org and checks off all my requirements.
What I was using before: Python seaborn
In prior posts I’ve used Python’s seaborn to generate graphs as images which I embed in the site. Seaborn is excellent for static graphs, but it doesn’t take advantage of the web platform – you can’t resize or interact with the images.
…"Statistics on the Table"
George Stigler’s pulled a fantastic quote from Pearson for his book’s title, Statistics on the Table (1999):
I am too familiar with the manner in which actual data are met with the suggestion that other data, if they were collected, might show something else to believe it to have any value as an argument. “Statistics on the table, please,” can be my sole reply.
- Pearson (1911)
My read: fight statistics with statistics, whether via method or data. Avoid the chaff of ungrounded theory.
…Micromegas / Voltaire / Locke on Deism
Voltaire’s deism has withstood the test of time well – I could imagine an empirical Christian nodding along to its humility, dualism, and acknowledgment of a creator:
A tiny follower of Locke was standing nearby, and when it was finally his turn to speak, he said:
“I do not know how I think, but I do know that I have never thought except with the aid of my senses. That there are immaterial and intelligent substances is something I do not doubt, but that it is impossible for God to endow matter with the power of thought is something I do strongly doubt. I revere the eternal power and it is not for me to set limits on it. I affirm nothing, and I am content to believe that more things are possible than people think.”
…
How Machines Learn by Anil Ananthaswamy
I highly recommend Anil Ananthaswamy’s How Machines Learn as an introduction to the foundational concepts of deep learning. It touches on the math, but keeps it accessible for a high school grad, and grounds it with practitioner interviews (LeCun, Sutskever, Hinton, Hopfield, etc). Ananthaswamy starts with perceptrons and ends with deep learning networks, concluding before generative models.
Here are some of the ideas which were new to me:
- With enough neurons, a neural network with even just a single hidden layer can approximate any function (Cybenko 1989)
- Convolutional neural networks, like the early LeNet and AlexNet, learn the convolutional filters during training (LeNet 1989, AlexNet 2012)
- Kernel methods map input data to a higher dimensional space where there might be a separating hyperplane (Guyon 1991)
- Overparameterized deep learning models don’t overfit, despite shattering the training data (see implicit and explicit regularization, Occam’s Razor and Lottery Ticket Hypothesis)
“I definitely remember being perplexed by how simple the whole thing is… How can it be? You look at your undergrad classes in math or physics, and they’re so complicated. And then this stuff is so simple. You just read two papers and you understand such powerful concepts. How can it be that it’s so simple?”
…