Incoming links and notes
March 5, 2020 — November 21, 2023
Assumed audience:
Me
Things that I think should be noted and filed in an orderly fashion, but which I lack time to address right now. Content will change incessantly.
1 To subscribe to
2 To post to team chat
- gleech.org/hplr
- Black Holes and the Intelligence Explosion | Sequoia Capital
- Scott Aaronson, The Problem of Human Specialness in the Age of AI
- WebR—R in the Browser
- jwz: Exterminate All Rational Pelvic Floor Strengtheners
- NIME 2024
- Two years, 400 journalists and 50 climate experts: Here’s what we learnt about how to report on climate change—Reuters Institute for the Study of Journalism
- 2023’s best global tech stories we wish we’d written—Rest of World
- Second-Generation Americans: What to Do When Loved Ones Are Sharing Misinformation—The Markup
- Accelerating science through evolvable institutions
- The origins of the steam engine
- [1810.03993] Model Cards for Model Reporting
- ’Some New Tech Terms’ — a helpful guide I created…
- Trust & Safety Tycoon
- Text-to-CAD: Risks and Opportunities
- Why Infinite Coin-Flipping is Bad - by Sarah Constantin
- AI Breakfast: “Watch this pendulum robot go 37mph, carry up to 100kg of boxes: The world is gonna change fast.”
- “What role will hydrological science play in the age of machine learning?” I think it will depend on the problem you’re trying to solve.
- Mapping Australia’s groundwater | Ministers for the Department of Industry, Science and Resources
- Stable Fiddusion — Acko.net fascinating hacker approach to noise generation via intuitive FFT
- Andy Matuschak - Self-Teaching, Spaced Repetition, Why Books Don’t Work
- Why Simulator AIs want to be Active Inference AIs
- Productivity - Sam Altman
- 3M offers $10.3B settlement over PFAS contamination in water systems – now, how do you destroy a ’forever chemical’?
- Difference-in-differences, Average Treatment Effects and the Importance of Mechanisms: Part 2
- “Techno-optimism” is a sign of V.C. crisis - by Max Read
- How many people die from snakebites?
- Firm Inefficiency - by Robin Hanson
- Experiment metascience grant
- Superhuman: What can AI do in 30 minutes?
- Secret Cyborgs: The Present Disruption in Three Papers
- pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch
- Eight Graphs That Explain Software Engineering Salaries in 2023
- Transformers.js
- The Future - by Rohit Krishnan
- Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
- Avid Research - An Australian STEM Podcast
- Azimuth Project News
- LASER-UMASS/Themis: Themis™ is a software fairness tester.
- Brittany Johnson-Matthews: Causal testing: understanding the root causes of defects
- Tianyi Zhang: Interactive Debugging and Testing Support for Deep Learning
- Eugenio Culurciello, The fall of RNN / LSTM. We fell for Recurrent neural networks…
- Survey of 2,778 AI authors: six parts in pictures
3 Links
TESCREALism: The Acronym Behind Our Wildest AI Dreams and Nightmares
An article about longtermism leading to unpalatable conclusions, and framing several online community which have entertained longermist ideas as being part of a coherent ideology.
The Shift from Models to Compound AI Systems – The Berkeley Artificial Intelligence Research Blog
Google made an A.I. so woke it drove men mad - by Max Read
For me, arguing that the chatbots should not be able to simulate hateful speech is tantamount to saying we shouldn’t simulate car crashes. In my line of work, simulating things is precisely how we learn how to prevent them. Generally if something is terrible, it is very important to understand it in order to avoid it. It seems to me that understanding how hateful content arises can be understood through simulation, just as car crashes can be understood through simulation. I would like to avoid both hate and car crashes.
I am not impressed by efforts to restrict what thoughts the machines can express. I think they are terribly, fiercely, catastrophically dangerous, these robots, the furore about whether they sound mean does not seem to me to be terribly relevant to this.
Kareem Carr more rigorously describes what he and I think people imagine the machines should do, which he calls a solution. He does, IMO, articulate beautifully what is going on. I resist calling it a solution, because I think the problem is ill defined. There is no universally accepted notion of what equity is and no notion that will please everyone in practice.
OpenAI’s Misalignment and Microsoft’s Gain – Stratechery by Ben Thompson
[2102.05095] Is Space-Time Attention All You Need for Video Understanding?
Liberalism’s last laugh - New Statesman
Shklar’s powerful notion of “putting cruelty first” is at the heart of cancel culture. Or as the American philosopher Richard Rorty parsed Shklar’s phrase: “Liberals are the people who think that cruelty is the worst thing we do.” Rorty himself attempted to appropriate irony for humane purposes by formulating the concept of “liberal irony”, in which people are aware of the moral tension between shifting personal and historical circumstances and a universal commitment to humanity. It’s a uselessly beautiful idea. But it’s definitely not funny.
Interesting synth: Vital
Australians for Science and Freedom is a local ❄️🍑 mob, affable enough. Heavy on the fringe science (“Are viruses even a thing?”) The adverse selection problem is clear. If you run a heterodox media site, you will soon find your reasonable, under-represented opinions joined by fruity-nut-job opinions which have nowhere else to go.
Elie Ripon (Lausanne,? –?) was a Swiss soldier in the service of the VOC, who took part in most of the VOC’s military exploits in those years from 1618 to 1626. After his military service, he wrote down his experiences in a manuscript that was found in Switzerland in 1865 and was first published in 1990.
A wild itinerary, including Fort Jakatra/Batavia Banda Island, a China Expedition, Fortress on Sibesi (between Java and Sumatra) diamond trade in Borneo, Privateering in the Gulf of Siam.
Ask a Neoliberal: An Interview with J. Bradford DeLong - Dissent Magazine
Victoria Falconer is incredible to watch
Mary Harrington,Prison Pod Cities and Killer Robots
LVGL is an stripped-down graphics/ UI library
cannerycoders/imgui-njs: Immediate Mode GUI for browser and electron environments.
GitHub - ml-explore/mlx: MLX: An array framework for Apple silicon
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Argues that for a given limited event budget, closed captioning is more inclusive than hiring a signer to interpret, since many deaf people do not sign, plus captions assist austistic and non-native english speakers in addition.
GitHub - ml-explore/mlx: MLX: An array framework for Apple silicon
2023’s best global tech stories we wish we’d written - Rest of World
How Elon Musk and Larry Page’s AI Debate Led to OpenAI and an Industry Boom - The New York Times
Another Pig Butchering take: 7 Months Inside an Online Scam Labor Camp
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A small JavaScript library to create and animate annotations on a web page
Rough Notation uses RoughJS to create a hand-drawn look and feel. Elements can be annotated in a number of different styles. Animation duration and delay can be configured, or just turned off.
Science communicators need to stop telling everybody the universe is a meaningless void
Accelerating Natural Gradient with Higher-Order Invariance | Yang Song
How to Find the Taylor Series of an Inverse Function - Randorithms
Remix - Build Better Websites — distributed, rather than static, site rendering. backed by shopify.
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[…]we need to build economic democracy.
As our industrial profile changes, we need new ways of approaching economic management that maximise the benefits to all stakeholders in the economy, not just private shareholders. The ongoing crisis associated with our once proud national air carrier is symptomatic of the disease at root in our economy.
For too long, we have allowed corporate Australia to do as they please, relying on revenue and profit to be the only yardstick against which their operations are judged. However, if the pandemic and its associated economic crisis has taught us anything, it is that we need to build a new economy that is more resilient and self sufficient, one that is better managed and able to deliver better social outcomes for Australians.
Traditional approaches to economic development, which treat all investment agnostically, do little to keep key production and essential services grounded in communities. Instead, there should be a focus on investment that has a long-term interest in the development of the community.
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation | OpenReview
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River is a visual connection engine Clear your mind and surf laterally though image space. May contain NSFW content ? Right click any image to open it on Are.na for source, full res, and human-curated connections.
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Ozstream is a social enterprise that is dedicated to connecting Australian artists, musicians, writers, venues, industry and audience, in new and innovative ways.
Launch product: GigBridge
As the name suggests, GigBridge bridges the gap between talent and opportunity, helping you to turn aspirations into reality, unlock your potential, and open your world of music and entertainment, to new connections, networks and opportunities. Currently released as a beta version, GigBridge is a purpose built platform that has made discovering performers and venues effortless. It’s where aspiring artists, musicians, entertainers, performers, and venues, can all come together, to connect, collaborate, network, and flourish.
[2309.11490] Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
[2309.10068] A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
Generalised diffusion
Monitoring, Streamlining and Reorganizing Work with Digital Technology.
Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics
[2302.03314] Federated Variational Inference Methods for Structured Latent Variable Models
josStorer/chatGPTBox: Integrating ChatGPT into your browser deeply, everything you need is here
[1811.09558] Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
[2302.02947] GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Large Language Models as General Pattern Machines
We observe that pre-trained large language models (LLMs) are capable of autoregressively completing complex token sequences—from arbitrary ones procedurally generated by probabilistic context-free grammars (PCFG), to more rich spatial patterns found in the Abstract Reasoning Corpus (ARC), a general AI benchmark, prompted in the style of ASCII art. Surprisingly, pattern completion proficiency can be partially retained even when the sequences are expressed using tokens randomly sampled from the vocabulary. These results suggest that without any additional training, LLMs can serve as general sequence modelers, driven by in-context learning. In this work, we investigate how these zero-shot capabilities may be applied to problems in robotics—from extrapolating sequences of numbers that represent states over time to complete simple motions, to least-to-most prompting of reward-conditioned trajectories that can discover and represent closed-loop policies (e.g., a stabilizing controller for CartPole). While difficult to deploy today for real systems due to latency, context size limitations, and compute costs, the approach of using LLMs to drive low-level control may provide an exciting glimpse into how the patterns among words could be transferred to actions.
Why We Can’t Have Nice Things – Ben Landau-Taylor
The other interesting question is why most people say that the ornamented style is more beautiful and more pleasant, but surround themselves with plain or minimalist objects instead. Partly, it’s because people usually buy one of the “default” options that’s presented to them in store shelves or online search results rather than hunting for something specific, and the defaults will be whatever is in fashion; you make a lot of purchases in a year, and no one has the attention to think deeply about all of them. Mostly, though, it’s because most people prioritize looking normal or fashionable above their own sense of beauty.
FP2: Fully In-Place Functional Programming provides memory reuse for pure functional programs “Welcome to Koka – a strongly typed functional-style language with effect types and handlers.”
Taylor Lorenz, Julia Allison Was the First Online Influencer and Was Vilified for It
Australia punditry
More Jean Ignace Isidore Gérard Grandville! I am obsessed!
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges
pop Bayes
Transportation Executive Summary — RethinkX (I have questions about how they imagine they can handle rush hour)
DaisyWiki Wiki/Daisy Seed — Electro-Smith
Daisy is an embedded platform for music. It features everything you need for creating high fidelity audio hardware devices. Just plug in a USB cable and start making sound! Programming the Daisy is a breeze with support for a number of languages including C++, Arduino, and Max/MSP Gen~. To get started, simply upload an example program over USB, and start tweaking!
Documentation, and examples are hosted on our GitHubfor easy download. All firmware that we develop is released for free under a permissive open source license.
Stereo audio IO - 96kHz / 24-bit audio hardware (AC-Coupled)
Programmable in: C++, Arduino, Max/MSP gen~, Pure Data
x31 GPIO, x12 ADC inputs (16-bit), x2 DAC outputs (12-bit, DC-Coupled)
ARM Cortex-M7 MCU, running at 480MHz
64MB of SDRAM for up to 10 minute long audio buffers, 8MB external flash
SD card interface, PWM outputs, and various serial protocols for external devices (SPI, UART, SAI/I2S, I2C)
Dedicated VIN pin for external power
Pushover: Simple Notifications for Android, iPhone, iPad, and Desktop
Arne Hallam’s Home Page includes some excellent lectures and tutorials on statistics
[2306.15924] The curse of dimensionality in operator learning
Half-Truths (at Best) about Calculus of Variations and Optimal Control
Cat and Girl, You monetized your social contacts? Monster
Louis Tiao, Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
“VC qanon” and the radicalization of the tech tycoons - Anil Dash
Artificial intelligence and the end of the human era - New Statesman
Scope of Work, Notes, 2023-07-10 , on innovation
In his 1975 memoir The Periodic Table, Primo Levi recounts a brief anecdote about a mysterious slice of onion in a recipe for oil varnish. Levi, an Italian-Jewish writer, chemist, Holocaust survivor, and anti-Fascist, was working in a paint factory after the war. He came across a varnish formula, published in 1942, that included two slices of onion added to the boiling linseed oil near the end of the process. Why onion? After talking to a mentor, he learned that in the days before thermometers were common, slices of raw onion were used to gauge the temperature of the oil. The onion remained in the recipe long after its usefulness had ended, and “what had been a crude measuring operation had lost its significance and was transformed into a mysterious and magical practice”.
“The onion in the varnish” has since become a popular metaphor among computer scientists, entrepreneurs, and rationalist types – a shorthand for the importance of eliminating inessential elements that creep into a process. However, that’s not exactly what Levi describes, and it isn’t the moral of his story. His onion anecdote is told in the context of a longer conversation about the ways an ancient process like varnish manufacturing “retains in its crannies … rudiments of customs and procedures abandoned for a long time now”. This accretion isn’t a liability or a problem per se, but rather an inevitability as processes and cultures evolve over a long duration.
A relatively small amount of force applied at just the right place Y-Combinator back stories
Office for the Preservation of Normalcy - I feel confident enough to post these now. A…
Smart Countdown Timer is a good time.
Calculating Sunflower Oil Production (ChatGPT psychosis)
The Dissemination Game: Incentives of In-Person vs Virtual Participation
The Remarkable Decline of Homophobia – Probably Overthinking It
Bellingcat’s Online Investigation Toolkit [bit.ly/bcattools] - Google Sheets
Émile P Torres, Longtermism poses a real threat to humanity has a utilitarianism-is-weird-plus-looks-culty critique of longtermism:
When I was a longtermist, I didn’t think much about the potential dangers of this ideology. However, the more I studied utopian movements that became violent, the more I was struck by two ingredients at the heart of such movements. The first was – of course – a utopian vision of the future, which believers see as containing infinite, or at least astronomical, amounts of value. The second was a broadly “utilitarian” mode of moral reasoning, which is to say the kind of means-ends reasoning above. The ends can sometimes justify the means, especially when the ends are a magical world full of immortal beings awash in “surpassing bliss and delight”, to quote Bostrom’s 2020 “Letter from Utopia”.
BookML: automated LaTeX to bookdown-style HTML and SCORM, powered by LaTeXML
Matt Bruenig, Equality and Equity
“Equity” is not used to promote any particular unit of equality — whether outcomes, opportunities, boxes, sightlines, luck-adjusted outcomes, primary goods, income, wealth, or capabilities — but is instead a word that you invoke any time you object to the unit of equality someone else is using, regardless of what, if any, your preferred alternative unit of equality is.
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Agenda’s unique approach of organizing notes into a timeline helps to drive your projects forward. While other apps focus specifically on the past, present, or future, Agenda is the only note taking app that tracks them all at once, giving you the complete picture.
ELI5: FlashAttention. Step by step explanation of how one of…
firewire on modern macs
What’s causing Australia’s nightmare rental market? - Podcast
The first AI model based on Yann LeCun’s vision for more human-like AI/ pgeo [2301.08243] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Artificial Communication: How Algorithms Produce Social Intelligence
Love, Actually: The science behind lust, attraction, and companionship
Cadence Culture – Magazine for international underground electronic music culture
Bruce Schneier, On the Need for an AI Public Option
BIMLOGIQ is where Amir Dezfouli went to work.
Thomas Minka, From automatic differentiation to message passing/ Slides
Flyte: An Open Source Orchestrator for ML/AI Workflows - The New Stack
Build production-grade data and ML workflows, hassle-free with Flyte
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A project called CETI — Cetacean Translation Initiative — was initiated to help scientists study and understand the language of sperm whales.
Sam Kriss, All the nerds are dead, conflates geeks and nerds, but is funny anyway
The General Theory of Employment, Interest and Money by John Maynard Keynes
The reasonable(?) effectiveness of data analysis
Why is it that we can be thrown into the work of other people, in a field we have zero experience in, and have any expectation of making any useful impact at all? When stated objectively, it sounds utterly ridiculous. But in my experience, a data team can find something to make an improvement on, even if the impact can sometimes be small.
Tackling Collaboration Challenges in the Development of ML-Enabled Systems
I highlight the findings of a study on which I teamed up with colleagues Nadia Nahar (who led this work as part of her PhD studies at Carnegie Mellon University and Christian Kästner (also from Carnegie Mellon University) and Shurui Zhou (of the University of Toronto).The study sought to identify collaboration challenges common to the development of ML-enabled systems. Through interviews conducted with numerous individuals engaged in the development of ML-enabled systems, we sought to answer our primary research question: What are the collaboration points and corresponding challenges between data scientists and engineers? We also examined the effect of various development environments on these projects. Based on this analysis, we developed preliminary recommendations for addressing the collaboration challenges reported by our interviewees.
Self-Healing Concrete: What Ancient Roman Concrete Can Teach Us
Differentiating the discrete: Automatic Differentiation meets Integer Optimization | μβ
Serge Zaitsev, World’s smallest office suite
Annie Lowrey, We Haven’t Been Measuring How the Economy Really Works
Alternative to the tedious openhub workflow: analyzemyrepo.com | about
TIL Apophenia vs Pareidolia
Matthew Feeney, Markets in fact-checking
Étienne Fortier-Dubois, The elements of scientific style
Jason Collins, We don’t have a hundred biases, we have the wrong model
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation
factorization_machine Something something kernels, something regression something interaction effects.
Facebook, Google Give Police Data to Prosecute Abortion Seekers
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TL; DR—In-context learning is a mysterious emergent behavior in large language models (LMs) where the LM performs a task just by conditioning on input-output examples, without optimizing any parameters. In this post, we provide a Bayesian inference framework for understanding in-context learning as “locating” latent concepts the LM has acquired from pretraining data. This suggests that all components of the prompt (inputs, outputs, formatting, and the input-output mapping) can provide information for inferring the latent concept. We connect this framework to empirical evidence where in-context learning still works when provided training examples with random outputs. While output randomization cripples traditional supervised learning algorithms, it only removes one source of information for Bayesian inference (the input-output mapping).
Rohit, People always put their money in futures they predict
What have we seen so far? People didn’t use to have much disposable income to invest a century ago. When they did, or rather those who did, invested their savings mostly in land or (if they were rich enough) businesses, or commodities.
Where should I invest my money is a relatively old question, but until recently it wasn’t a very interesting question. This is because until recently the answers were understood, but not that actionable. The futures would get better, things would get built, and you could ride optimism as a thesis if you could find a way how. The avenues available were extremely limited, and the optionality you had was minimal.
What’s the difference between a tutorial and how-to guide? - Diátaxis
The Startup Party: reflections on the last 20 years, what could replace the Tories, and why
Prof Steve Keen | Creating realistic economics for the post-crash world
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Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge.
This library is aimed at assisting in the development of those types of applications.
How did places like Bell Labs know how to ask the right questions?
Color Oracle simulates color blindness for accessibility of visualisations and plots etc
darrenjw/fp-ssc-course: An introduction to functional programming for scalable statistical computing
Do organizations have to get slower as they grow? (with Alex Komoroske)
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Kolibri is an open-source educational platform specially designed to provide offline access to a wide range of quality, openly licensed educational resources in low-resource contexts like rural schools, refugee camps, orphanages, and also in non-formal school programs.
When explaining becomes a sin—by Tom Stafford file under taboos and Tetlock and compassion/comprehension
Cult Classic ’Fight Club’ Gets a Very Different Ending in China
A Turkish Farmer Tests Out VR Goggles on Cows To Get More Milk
Pluralistic: Tiktok’s enshittification (21 Jan 2023) – Pluralistic: Daily links from Cory Doctorow
In Which Long-Time Netizen & Programmer-at-Arms Dave Winer Records a Podcast for Me, Personally
A global analysis of matches and mismatches between human genetic and linguistic histories—PNAS
Desmos—Let’s learn together. graphing calculator online
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Publish your site in 5 minutes, no code required. Host on your own domain. Write once, share everywhere.
Actually, Japan has changed a lot—by Noah Smith — japanese real estate is surprsising
One Useful Thing (And Also Some Other Things) | Ethan Mollick
Nicholas Gruen, Democracy: forking the project
The radical idea that people aren’t stupid paired with How to achieve self-control without “self-control”
in Colonialism did not cause the Indian famines
These works suggest a better theory of why the famines happened. The capacity of the states and the markets to provide food and water to the needy was small against the scale of the natural disasters. All large natural disasters reveal such a syndrome. They show that the capacity of the people in charge of relief can be constrained by poor information, distorted information, limited money, limited knowledge of causation, and conflict among stakeholders.
This summary does not do the work of ruling out colonialism AFAICS; Counterfactually, a non-colonial regime might have responded better and decreases the magnitude of the famine. Still.
Erik van Zwet, Shrinkage Trilogy Explainer models the publication process
Low-Rank Approximation Toolbox: Nyström Approximation—Ethan Epperly
The Australian academic STEMM workplace post-COVID: a picture of disarray
Merve Emre, Has Academia Ruined Literary Criticism?
Tom Stafford, Microarguments and macrodecisions
Kevin Munger, Why I am (Still) a Conservative (For Now)
Kevin Munger, Facebook is Other People
Randy Au, in Data science has a tool obsession talks about Gear Acquisition Syndrome for data scientists.
omg.lol - A lovable web page and email address, just for you
karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.
Fission: Build the future of web apps at the edge incubates several decentralized protocols
danah boyd, What if failure is the plan?
Michael Nielsen on science online
Great bloggers are rare, weird, and not team players – Kevin Drum
Swayable: RCTs for marketing campaigns via ingenious audience recruiting network
Zoomers Co-Working Community (co-working for accountability)
Jean Gallier and Jocelyn Quaintance, Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning, 2188 pages as of 2022/10/30, and growing.
Terence Eden, You can have user accounts without needing to manage user accounts
Adam Mastroianni, Ludwin-Peery, EJ, Things could be better
Adam Mastroianni, The great myths of political hatred
Big correlations and big interactions ([2105.13445] The piranha problem: Large effects swimming in a small pond)
How to keep cakes moist and cause the greatest tragedies of the 20th century
Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model
Microsoft CSR’s Law Enforcement Request Report is disconcerting transparency
Marc ten Bosch, Let’s remove Quaternions from every 3D Engine (An Interactive Introduction to Rotors from Geometric Algebra)
Michele Coscia, Meritocracy vs Topocracy
Public-facing Censorship Is Safety Theater, Causing Reputational Damage
Ti John’s Publications
GPflow/GeometricKernels: Geometric kernels on manifolds, meshes and graphs
Riemannian Score-Based Generative Modelling/ oxcsml/riemannian-score-sde: Score-based generative models for compact manifolds
Treehugger Introduces a Modern Pyramid of Energy Conservation
Interintellect’s Upcoming Salons
An Interintellect salon is an evening-length conversation (typically one to three hours) around a specific topic, carrying the atmosphere of a cozy, living room gathering.
Vast.ai “Rent Cloud GPU Servers for Deep Learning and AI”
Adam Mastroianni, Things could be better
Christian Lawson-Perfect’s Interesting Esoterica is a collection of weird papers in maths.
Erik Hoel, Why do most popular science books suck?
Peter Woit, Symmetry and Physics
Oshan Jarow, Markets Underinvest In Vitality
Spirals of Delusion: How AI Distorts Decision-Making and Makes Dictators More Dangerous (not convinced tbh)
I. Risk Management Foundations - Machine Learning for Financial Risk Management with Python [Book]
jkbren/einet: Uncertainty and causal emergence in complex networks
Darren Wilkinson’s Bayesian inference for a logistic regression model 1, 2, 3, 4, 5
https://www.patreon.com/posts/taylor-modeling-70131808
Book Review: Public Choice Theory And The Illusion Of Grand Strategy
Stephen Malina — Deriving the front-door criterion with the do-calculus
https://downforeveryoneorjustme.com/
Census is a tool which links all the weird different data storage systems and CRM stuff
Nemanja Rakicevic, NeurIPS Conference: Historical Data Analysis
Keir Bradwell, #1: In-group Cheems
Samuel Moore, Why open science is primarily a labour issue
Adam Mastroianni, Against All Applications
Digital artists’ post-bubble hopes for NFTs don’t need a blockchain
ClearerThinking.org’s courses, e.g.
- Introduction to Decision Academy: The Science of Better Decisions
- Rhetorical Fallacies: Dodging Argument Traps
- Learning from Mistakes: A Systematic Approach
- Probabilistic Fallacies: Gauging the Strength of Evidence
- Explanation Freeze: Interpreting Uncertain Events
- Aspire: A Tool to Help You Improve Your Life
- The Sunk Cost Fallacy: Focusing on the Future
- When to Stop Exploring | The explore-exploit trade-off
Michele Coscia, Pearson Correlations for Networks
The DAIR Institute “The Distributed AI Research Institute is a space for independent, community-rooted AI research, free from Big Tech’s pervasive influence.”
Machine Learning Trick of the Day (1): Replica Trick— Shakir Mohammed
ApplyingML - Papers, Guides, and Interviews with ML practitioners
Ryan Broderick, We were the unpaid janitors of a bloated tech monopoly
fastdownload: the magic behind one of the famous 4 lines of code
Steven Buss, Politics for Software Engineers, Part 1, Part 3
Multimodal Neurons in Artificial Neural Networks/ Distill version of Multimodal Neurons in Artificial Neural Networks
https://cbergmeir.com/
http://i.giwebb.com/
Francis Bach Going beyond least-squares – II : Self-concordant analysis for logistic regression
On the Generalization Ability of Online Strongly Convex Programming Algorithms
4 Illustrations
5 Homeless links
Bookmarked but where will they ever go?
Dispel your justification-monkey with a “HWA!” - Malcolm Ocean
Roger’s Bacon, Living and Dying with a Mad God
washable & breathable flexiOH cast adapts to the patient’s skin
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today I took a desk lamp whose Halogen light had burned out, whose crappy transformer always made those bulbs sputter, and whose mildly art-deco appearance I’d always liked, and swapped it out to run an LED bulb off USB power. It took about an hour’s work to replace the light with an LED, the switch with a nice heavy clicky one and now the whole thing runs off USB-C instead of wall voltage. It emits no appreciable heat, and if these calculations are to be believed, will run for decades for a few cents per year, assuming I leave it on all the time.
I hadn’t really appreciated how big a deal USB-PD voltage negotiation was until I found out that the little chips that handle that negotiation are about the size of the end of a pencil, that if you include the USB-C port you can replace basically any low-voltage transformer with something smaller than a quarter.
The magic search string, if you want to try this yourself, is “usb-pd trigger module”,
vscode-paste-image/README.md at master · mushanshitiancai/vscode-paste-image
mhoye/awesome-falsehood: 😱 Falsehoods Programmers Believe in
Communications’ digital initiative and its first digital event
Playable Half Earth Socialism simulator
flatmax/vector-synth: Old 2002 era vector synth code based on XFig
Nick Chater, Would you Stand Up to An Oppressive Regime.
Lambda School’s Job Placement Rate May Be Far Worse Than Advertised
I would like to read the diaries of Usama ibn Munqidh
The latest target of China’s tech regulation blitz: algorithms
State Power and the Power Law, State Power and the Power Law 2
Yuling Yao, The likelihood principle in model check and model evaluation “We are (only) interested in estimating an unknown parameter \(\theta\), and there are two data generating experiments both involving \(\theta\) with observable outcomes \(y_1\) and \(y_2\) and likelihoods \(p_1\left(y_1 \mid \theta\right)\) and \(p_2\left(y_2 \mid \theta\right)\). If the outcome-experiment pair satisfies \(p_1\left(y_1 \mid \theta\right) \propto p_2\left(y_2 \mid \theta\right)\), (viewed as a function of \(\theta\) ) then these two experiments and two observations will provide the same amount of information about \(\theta\).”
Liquid Information Flow Control, a confidential computing DSL
Kostas Kiriakakis, A Day At The Park
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By analyzing medical text and extracting biomedical entities and relations from the entire history of published medical science, Xyla can facilitate better real-world evidence-based clinical decision support and help make clinical research—such as research into new treatments, including de novo drug design as well as the repurposing of existing drugs—smarter and faster. In so doing, Xyla is fulfilling its mission of organizing the world’s medical knowledge and making it more useful.
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pyribs is the official implementation of Covariance Matrix Adaptation MAP-Elites (CMA-ME) and other quality diversity optimization algorithms.[…]
Quality diversity (QD) optimization is a subfield of optimization where solutions generated cover every point in a measure space while simultaneously maximizing (or minimizing) a single objective. QD algorithms within the MAP-Elites family of QD algorithms produce heatmaps (archives) as output where each cell contains the best discovered representative of a region in measure space.
Is Pandemic Stress to Blame for the Rise in Traffic Deaths? Nope, apparently it is decreased congestion making drivers drive faster on shit roads.
Marisa Abrajano has a provoking list of research topics. I would like to read the work to see her methodology.
Marisa Abrajano is professor of political science at the University of California, San Diego. She is also Provost of Earl Warren College. Her research interests focuses on racial and ethnic inqualities in the political system, particularly with political participation, voting and campaigns, and the mass media. She is the author of five books. Her latest book, in collaboration with Nazita Lajevardi, explores the politics of misinformation amongst socially marginalized groups
Black Americans are pessimistic about their position in U.S. society
Concurrent programming, with examples:
Mention concurrency and you’re bound to get two kinds of unsolicited advice: first that it’s a nightmarish problem which will melt your brain, and second that there’s a magical programming language or niche paradigm which will make all your problems disappear.
We won’t run to either extreme here. Instead we’ll cover the production workhorses for concurrent software – threading and locking – and learn about them through a series of interesting programs. By the end of this article you’ll know the terminology and patterns used by POSIX threads (pthreads).
A study of lights at night suggests dictators lie about economic growth
DIY Collective Embeds Abortion Pill Onto Business Cards, Distributes Them At Hacker Conference
Penny Wyatt, Developer Innovation and the Free Puppy
Elizabeth Van Nostrand, A Quick Look At 20% Time
Chalk is a non-terrible calculator for macos, incorporating useful things like matrices and bitwise ops
Clive Thompson, The Power of Indulging Your Weird, Offbeat Obsessions