Bookmarks
CFD Python: 12 steps to Navier-Stokes
We announce the public release of online educational materials for self-learners of CFD using IPython Notebooks: the CFD Python Class!
Yizhou Shan's Home Page
This paper has a really nice Intro, pay close attention to how they lay out the storyline.
Crossing the uncanny valley ofconversational voice
At Sesame, our goal is to achieve “voice presence”—the magical quality that makes spoken interactions feel real, understood, and valued.
By John Taylor Gatto
4) The differentiating function.
Community Highlight: Tenstorrent Wormhole Series Part 2: Which disabled rows?
An in depth look at Tenstorrent Wormhole, originally posted on corsix.org
The world's largest prediction market.
Polymarket is the world’s largest prediction market, allowing you to say informed and profit from your knowledge by betting on future events across various topics.
Lego Mindset vs. Woodworking Mindset
On Accepting Toil
The high-return activity of raising others’ aspirations
Yesterday I had lunch with a former Ph.D student of mine, who is now highly successful and tenured at a very good school. I was reminded that, over twenty years ago, I was Graduate Director of Admissions. One of my favorite strategies was to take strong candidates who applied for Masters and also offer them […]
Stating the problem in Lean
Note: this post was written for Lean 3; the latest version, Lean 4, is a very different language.
Turn back the clock to 2009: a confused physics major newly infatuated with math and computer science, I enrolled in MATH 273: Numbers and Proofs at the University of Calgary. This wasn’t my first encounter with mathematical proof; in first-year calculus I’d mastered rote regurgitation of delta-epsilon proofs. Despite writing out several dozen, their meaning never progressed beyond a sort of incantation I can summon to this day (for every \( \epsilon > 0 \) there exists a \( \delta > 0 \) such that…).
Clear cache x app ios
Any way to delete the cache or app data on iphone? - RedditJul 26, 2023X app taking up 1.
Your Home Timeline
The latest stories on X - as told by posts.
A ToC of the 20 part linker essay
I release this message (the ToC and comments) into the public domain, no right reserved.
MattPD/cpplinks: A categorized list of C++ resources.
A categorized list of C++ resources. Contribute to MattPD/cpplinks development by creating an account on GitHub.
Will I be able to access proprietary platform APIs (e.g. Android / iOS)?
The kind of binary format being considered for WebAssembly can be natively decoded much faster than JavaScript can be parsed (experiments show more than 20× faster).
Understanding_Machine_Learning_-_From_Theory_to_Algorithms
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þÿAn Infinitely Large Napkin
The text is titled "An Infinitely Large Napkin" by Evan Chen. The author's work can be found on readwise.io.
Ludwig Wittgenstein: The Duty of Genius
The text discusses the complex relationship between Ludwig Wittgenstein and his peers, particularly Bertrand Russell. Wittgenstein's philosophical ideas and personal struggles are highlighted, showing the challenges he faced in expressing his thoughts and finding understanding from others. Despite his brilliance, Wittgenstein's life was marked by loneliness and inner turmoil, making it difficult for him to fully convey his philosophical insights.
þÿThe Little Book of Deep Learning
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tns
This document, entitled "tns", explores the concept of network states and their potential to replace traditional nation states. The author argues that a network state is a social network with a moral innovation, a sense of national consciousness, and a recognized founder, among other features. The document also delves into the history of political power and technological truth, and how the network state is the next Leviathan. The author provides examples of positive and negative syntheses of the network and state and discusses the potential for startup societies and network states to maintain liberal values in an illiberal world.
Getting Started with Elastic Stack 8.0
The Elastic Stack consists of Elasticsearch for data storage and search, Kibana for visualization, and tools like Beats and Logstash for data collection and transformation. Beginners can learn about key topics like indexing, searching, and managing data in Elasticsearch through various chapters in the book. Kibana is essential for interacting with data and building solutions on the Elastic Stack.
Mathematics for Machine Learning
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Linear Algebra Review and Reference
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