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Cosmos: A Personal Voyage (with Carl Sagan)
The absolute classic from my childhood.
Public
Lisp Logical Pathnames
A short and useful introduction to logical pathnames in Common Lisp.
Dozens of pro-Indy accounts go dark after Israeli strikes
Sure correlation is not causation but sometimes it's hard not to think it is.
The Line of Death
The most important part of the web browser UI is...
If you are useful, it doesn’t mean you are valued
"As you progress in your career, understanding the difference between being useful and being valued is very important. At first glance, they might look similar because the signals you get are more or less the same: a promotion, a higher than expected bonus, a special stock award. This is why it’s important to dig deeper and try to detect subtler signals."
“Don’t Mock What You Don’t Own” in 5 Minutes
An interesting article on what should and shouldn't be mocked when writing tests.
Common Lisp Strong Typing Example
As the title says: examples of strong typing in Common Lisp.
What is TSDoc? | TSDoc
A proposed standard for "docstrings" for TypeScript. Well, not docstrings in the Lisp/Python sense, but comments that can be used to document an API in place and allow for the generation of documentation from them.
JK Rowling called The National 'anti-woman' – here's my response
The National's response to JKR's nonsense.
Project ECCO by Elliot Davis
RPGs aren't quite my thing, especially not "physical" ones; but this looks and sounds interesting.
Software Engineering for Machine Learning: A Case Study
Abstract—Recent advances in machine learning have stimulated widespread interest within the Information Technology sector on integrating AI capabilities into software and services. This goal has forced organizations to evolve their development processes. We report on a study that we conducted on observing software teams at Microsoft as they develop AI-based applications. We consider a nine-stage workflow process informed by prior experiences developing AI applications (e.g., search and NLP) and data science tools (e.g. application diagnostics and bug reporting). We found that various Microsoft teams have united this workflow into preexisting, well-evolved, Agile-like software engineering processes, providing insights about several essential engineering challenges that organizations may face in creating large-scale AI solutions for the marketplace. We collected some best practices from Microsoft teams to address these challenges. In addition, we have identified three aspects of the AI domain that make it fundamentally different from prior software application domains: 1) discovering, managing, and versioning the data needed for machine learning applications is much more complex and difficult than other types of software engineering, 2) model customization and model reuse require very different skills than are typically found in software teams, and 3) AI components are more difficult to handle as distinct modules than traditional software components — models may be “entangled” in complex ways and experience non-monotonic error behavior. We believe that the lessons learned by Microsoft teams will be valuable to other organizations.
A crash course in machine learning
Google's crash course in machine learning.
AI Hallucination Cases Database
AI will enslave us all eventually...
Hurkle
Rules for a simple game that I think might make for a fun terminal-based game.
How I take work notes as a developer
I'm a big fan of keeping notes as I work, as I develop software. I like to /try/ and take a lab notebook approach where possible. But, to this day, I've not really settled on the "one right approach".
Here's someone else's approach...
Does employee happiness create value for firm performance?
Obviously the causation can’t be explained here, but there is unsurprisingly a correlation between employee happiness and company performance.
The question then becomes: does a company with happy employees perform better, or do better-performing companies treat their workers better?
A Scheme Primer
Nice little introduction to Scheme.
David Lord :python: (@davidism@mas.to)
Some dodgy GitHub behaviour from a RedHat employee.
Braindrop - flotte Terminal-Abfrage für den Bookmarkdienst Raindrop.io
An article discussing Braindrop and Raindrop.
quismi
Tool for making background wallpapers.
‘It’s better for them than being in a cage!’ Why are cat cafes suddenly so controversial?
News article about how some folk (and I do wonder how few folk really) seem to think cat cafes are a bad thing.
Ghostty Config
Very impressive and possibly very useful Ghostty configuration generator application.
How Broken OTPs and Open Endpoints Turned a Dating App Into a Stalker’s Playground
A pretty amazing and worrying story of one person's exploration of a data app's API.
Strudel REPL
A pretty amazing live-coding tool for creating music.
Asyncio Demystified: Rebuilding it From Scratch One Yield at a Time
How to do async in Python the hard way, as a way to learn how it works so you undersatnd things better when you do it the easy way.
Certifying a document
How to get a copy of a document certified in the UK.
Bicameral, Not Homoiconic
A different take on the whole "Lisp is homoiconic" thing.
OpenNext Gets Closer to Making Next.js Truly Portable
I've read so many thanks about Next.js that suggest it's not a good time if you want to deploy anywhere other than with Vercel. It seens that this project aims to solve that problem.
ernestofgonzalez/epub-utils: A Python CLI and utility library for manipulating EPUB files
Useful-looking library for working with EPUB files from Python.
We hacked Google’s A.I Gemini and leaked its source code (at least some part) - Lupin & Holmes
Fun read where a group of folk tried to get Google's Gemini to give up some of its source code. I'm not convinced this is such an amazing win, or that the title really matches the facts, but it's a fun ride.