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.
Notes
I need to reclassify the bio computing links; that section has become confusing and there are too many nice ideas there not clearly distinguished.
To subscribe to
To post to team chat
ESA - Trio of Sentinel satellites map methane super-emitters
Andy Matuschak - Self-Teaching, Spaced Repetition, Why Books Don’t Work
New Things Under the Sun is a living literature review on social science research about innovation. Articles come in two flavors:
Why Simulator AIs want to be Active Inference AIs — AI Alignment Forum
Difference-in-differences, Average Treatment Effects and the Importance of Mechanisms: Part 2
Large language models, explained with a minimum of math and jargon
Experiment metascience grant
pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch
Eight Graphs That Explain Software Engineering Salaries in 2023
Brittany Johnson-Matthews: Causal testing: understanding the root causes of defects
Tianyi Zhang: Interactive Debugging and Testing Support for Deep Learning
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction / momentum-lab-workspace/DeepSeer
Eugenio Culurciello, The fall of RNN / LSTM. We fell for Recurrent neural networks…
Links
Physics-Informed Dynamic Mode Decomposition (PI-DMD) - YouTube
Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics - YouTube
[2302.03314] Federated Variational Inference Methods for Structured Latent Variable Models
Likelihood-free inference with deep Gaussian processes - ScienceDirect
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.
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
Large language models, explained with a minimum of math and jargon
GLP-1 agonists: Diabetes drugs and weight loss - Mayo Clinic
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)
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.
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
goblincore
What’s causing Australia’s nightmare rental market? - Podcast
Revolut trades crypto stocks and foreign currencies while having a debit card and disposable credit cards for privacy preservation.
Artificial Communication: How Algorithms Produce Social Intelligence
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
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.
How GNNs and Symmetries can help to solve PDEs - Max Welling
Thomas Minka, From automatic differentiation to message passing/ Slides
XPRIZE Wildfire | XPRIZE Foundation* Gretton lecture4_introToRKHS.pdf
Flyte: An Open Source Orchestrator for ML/AI Workflows - The New Stack
Build production-grade data and ML workflows, hassle-free with Flyte* Cloud-Native Geospatial Foundation
The Cloud-Native Geospatial Foundation is a forthcoming initiative from Radiant Earth created to increase adoption of highly efficient approaches to working with geospatial data in public cloud environments.
fast.ai - Mojo may be the biggest programming language advance in decades
Nostr, a simple protocol for decentralizing social media that has a chance of working
Lilian Weng’s updated The Transformer Family Version 2.0
Sam Kriss, in 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.”
Probability Is Not A Substitute For Reasoning – Ben Landau-Taylor
Self-Healing Concrete: What Ancient Roman Concrete Can Teach Us
Differentiating the discrete: Automatic Differentiation meets Integer Optimization | μβ
Information Transfer Economics: Organization of information equilibrium concepts
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
If there are already smarter people around, how can I find good ideas?
Colossal-AI is designed to be a unified system to provide an integrated set of training skills and utilities to the user. You can find the common training utilities such as mixed precision training and gradient accumulation. Besides, we provide an array of parallelism including data, tensor and pipeline parallelism. We optimize tensor parallelism with different multi-dimensional distributed matrix-matrix multiplication algorithm. We also provided different pipeline parallelism methods to allow the user to scale their model across nodes efficiently. More advanced features such as offloading can be found in this tutorial documentation in detail as well.
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation
Building Resilient Organizations: Toward Joy and Durable Power in a Time of Crisis
Is Anything Worth Maximizing? How metrics shape markets, how we’re… | by Joe Edelman
factorization_machine Something something kernels, something regression something interaction effects.
Facebook, Google Give Police Data to Prosecute Abortion Seekers
Cleanlab: “We publish research, develop open source tools, and design interfaces to help you improve the quality of your datasets and diagnose various issues in them.” See their blog e.g. ActiveLab: Active Learning with Data Re-Labeling
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).
Bayesian Neural Networks by Duvenaud’s team
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
Instagram, TikTok, and the Three Trends
the company correctly intuited a significant gap between its users stated preference — no News Feed — and their revealed preference, which was that they liked News Feed quite a bit. The next fifteen years would prove the company right.
Kedro | A Python framework for creating data science code /Kedro Frequently asked questions. Kedro rationale by Joel Schwarzmann: The importance of layered thinking in data engineering
Prof Steve Keen | Creating realistic economics for the post-crash world
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)
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.
Team Silverblue — About packaged apps for Fedora
The Adaptable Linux Platform Guide PAckaed apps for SUSE.
Taylor expansion with integral remainder
The Carr–Madan formula is really just a special case of a Taylor expansion. For completeness, let’s rederive the Taylor expansion with an integral remainder.
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
Pluralistic: EU to Facebook, ’Drop Dead’ (07 Dec 2022) – Pluralistic: Daily links from Cory Doctorow
In Which Long-Time Netizen & Programmer-at-Arms Dave Winer Records a Podcast for Me, Personally
Supervised Training of Conditional Monge Maps—Apple Machine Learning Research
How To Be an Academic Hyper-Producer—Economics from the Top Down
A global analysis of matches and mismatches between human genetic and linguistic histories—PNAS
Desmos—Let’s learn together. graphing calculator online
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
The radical idea that people aren’t stupid paired with How to achieve self-control without “self-control”
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.
I do see why we cannot have both as causes, though.
Erik van Zwet, Shrinkage Trilogy Explainer on modelling the publication process
Mathematics of the impossible: Computational Complexity—Thoughts
Download the Atkinson Hyperlegible Font—Braille Institute
What makes it different from traditional typography design is that it focuses on letterform distinction to increase character recognition, ultimately improving readability. We are making it free for anyone to use!
Low-Rank Approximation Toolbox: Nyström Approximation—Ethan Epperly
-ise or-ize? Is-ize American? (1/3) – Jeremy Butterfield Editorial
The Australian academic STEMM workplace post-COVID: a picture of disarray
Merve Emre, Has Academia Ruined Literary Criticism?
Matt Clancy, Age and the Nature of Innovation “Are there some kinds of discoveries that are easier to make when young, and some that are easier to make when older”?
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.
Clive Thompson, The Power of Indulging Your Weird, Offbeat Obsessions
omg.lol - A lovable web page and email address, just for you
karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.
What is the “forward-forward” algorithm, Geoffrey Hinton’s new AI technique?
Fission: Build the future of web apps at the edge incubates several decentralized protocols
danah boyd, What if failure is the plan?. I’ve been thinking a lot about failure…
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)
Normconf Lightning Talks/Normconf: The Normcore Tech Conference — a conference on the stuff that we actually need to do in ML, as opp. the stuff we would like to pretend is what we do.
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
George Ho, How to Improve Your Static Site’s Typography (for code formatting)
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?
Étienne Fortier-Dubois, The Vibes Are Off
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)
The Developer Certificate of Origin is a great alternative to a CLA
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
Book Review: Public Choice Theory And The Illusion Of Grand Strategy
Stephen Malina — Deriving the front-door criterion with the do-calculus
Census is a tool which links all the weird different data storage systems and CRM stuff
Nemanja Rakicevic, NeurIPS Conference: Historical Data Analysis
Yanir Seroussi, The mission matters: Moving to climate tech as a data scientist
Keir Bradwell, #1: In-group Cheems
Samuel Moore, Why open science is primarily a labour issue
Adam Mastroianni, Against All Applications
Have The Effective Altruists And Rationalists Brainwashed Me?
Anthony Lee Zhang, The War for Eyeballs
There is thus an interesting analogy between control rights for Twitter and other social media platforms, and the recent “Curve wars” in web3. Eyeball space in social media is like liquidity in web3: everyone values it and everyone wants to control it. Curve is thus similar to Twitter, in the sense that it controls a resource — incentivized liquidity provision — which is more valuable than the profits CRV extracts from providing the resource. As a result, many parties find it in their interest to buy control rights over CRV/CVX, and run it in a purposefully non-profit-maximizing way. In web3, large protocols amass piles of CRV/CVS governance tokens, to redirect liquidity towards their own tokens. Again, the fundamental principle behind the Curve wars is that the liquidity that Curve controls is much more valuable to some market participants, than the potential profits Curve generates using that liquidity.
My thesis is thus that Twitter and similar platforms are, in some sense, doomed to exist in perpetual governance conflicts similar to the Curve wars. Market forces will not allow Twitter and similar companies to exist as independent, reasonably objective, profit-maximizing company. Since the eyeball time rents that Twitter controls are vastly larger than the profits it generates from those rents, Twitter is essentially doomed to be locked in a endless governance war. Interested forces will fight endlessly for control over Twitter, to run Twitter in a purposefully non-profit-maximizing way, to channel eyeballs towards one’s desired objective. Parties which value eyeball time for various reasons will endlessly struggle for control over Twitter, not for its ad profits, but to funnel eyeball time, in a purposefully non-profit-maximizing way, towards causes that they value.
Digital artists’ post-bubble hopes for NFTs don’t need a blockchain
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
I Do Not Think It Means What You Think It Means: Artificial Intelligence, Cognitive Work & Scale
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
PJ Vogt, Selling Drugs to Buy Crypto
To make you feel pride rather than stress or shame, the ideal features of a todo system are something like:
- Accomplishments accumulate
- Long-term scope to see the arc of your success
- Multiple levels of scope to get sense of reward at multiple scales
- Recognize that tasks and events all compete for one resource --- time
- Limit your daily tasks and get "Bonus Time"
- Clear visual families & dependencies, probably through spatial organization
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
Machine Learning Trick of the Day (7): Density Ratio 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
Schneier, When AIs Start Hacking
Multimodal Neurons in Artificial Neural Networks/ Distill version of Multimodal Neurons in Artificial Neural Networks
Francis Bach Going beyond least-squares – II : Self-concordant analysis for logistic regression
On the Generalization Ability of Online Strongly Convex Programming Algorithms
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
‘We can continue Pratchett’s efforts’: the gamers keeping Discworld alive
AO3’s 15-year journey from blog post to fanfiction powerhouse - The Verge
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
Gary Brecher, The War Nerd: Taiwan — The Thucydides Trapper Who Cried Woof
Evidence of Fraud in an Influential Field Experiment About Dishonesty. Looks bad for Dan Ariely. Damn.
on programming humans (Amir’s work)
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
Jag Bhalla, Vaccine Greed: Capitalism Without Competition Isn’t Capitalism, It’s Exploitation
Kostas Kiriakakis, A Day At The Park
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.
My2050 calculator - create your pathway for the UK to be net zero by 2050
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.
Do normal people need to know or care about “the metaverse”?
Apple acquires song-shifting startup AI Music, here’s what it could mean for users
Black Americans are pessimistic about their position in U.S. society
Smart technologies | Internet Policy Review
Speaking of ‘smart’ technologies we may avoid the mysticism of terms like ‘artificial intelligence’ (AI). To situate ‘smartness’ I nevertheless explore the origins of smart technologies in the research domains of AI and cybernetics. Based in postphenomenological philosophy of technology and embodied cognition rather than media studies and science and technology studies (STS), the article entails a relational and ecological understanding of the constitutive relationship between humans and technologies, requiring us to take seriously their affordances as well as the research domain of computer science. To this end I distinguish three levels of smartness, depending on the extent to which they can respond to their environment without human intervention: logic-based, grounded in machine learning or in multi-agent systems. I discuss these levels of smartness in terms of machine agency to distinguish the nature of their behaviour from both human agency and from technologies considered dumb. Finally, I discuss the political economy of smart technologies in light of the manipulation they enable when those targeted cannot foresee how they are being profiled.
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
2 comments
Fredrick Alonso
Teresa Tapia