389 private links
About ?page=1 that can become /?page=1 OR 1=1
An extremely fast PHP linter, formatter, and static analyzer, written in Rust.
That's interesting
375 petabytes into an LTO cart.
Note the experiment was conducted on 156.6 kB and the cart can not be damaged or the whole data would be corrupted.
Another limitation is the rate: 156kB in 2.5 hours; so nearly 1kB per minute.
It is estimated that one kilometer of DNA can store 74.7 GB, way less than the LOT-9 capacity of around 18TB (45TB compressed).
So it remains a science project for now.
Instead of trying to ascertain the truth, editors assessed the credibility of sources, looking to signals like whether a publication had a fact-checking department, got cited by other reputable sources, and issued corrections when it got things wrong.
Wikipedia’s dispute resolution system does not actually resolve disputes. In fact, it seems to facilitate them continuing forever.
Wikipedia is a mirror of the world’s biases, not the source of them. We can’t write articles about what you don’t cover.
As volunteers, editors work on topics they think are important, and the encyclopedia’s emphases and omissions reflect their demographics.
Crucially, if you think something is wrong on Wikipedia, you can fix it yourself, though it will require making a case based on verifiability rather than ideological “balance.”
That is, Wikipedia’s first and best line of defense is to explain how Wikipedia works.
Nous étions plusieurs associations et militants antivalidistes à alerter sur le fait que dans tous les pays où la loi sur l'#Euthanasie
avait été promulguée, des lois réduisant les accès aux droits des personnes handicapées survenaient.Actuellement, le gouvernement réfléchit à plafonner l'#AAH
et à en conditionner l'accès.
Actuellement le gouvernement compte réduire à peau de chagrin l'#ALD.Voilà. C'est tout.
Merci à nos chers élus de ne rien avoir écouté. Même si ce gouvernement saute, le suivant aura ce genre d'idées.
KISS for maintainability: "Nothing in Rust forces us to get fancy. You can write straightforward code in Rust just like in any other language. But in code reviews, I often see people trying to outsmart themselves and stumble over their own shoelaces. They use all the advanced features at their disposal without thinking much about maintainability."
Here an real life example.
But if simplicity is so obviously “better,” why isn’t it the norm? Because achieving simplicity is hard!
Even in Rust: abstractions are never zero cost for developers.
Often, simple code can be optimized by the compiler more easily and runs faster on CPUs. That’s because CPUs are optimized for basic data structures and predictable access patterns. And parallelizing work is also easier when that is the case. All of that works in our favor when our code is simple.
Most of the code you’ll write for companies will be application code, not library code. That’s because most companies don’t make money writing libraries, but business logic. There’s no need to get fancy here. Application code should be straightforward to keep your fellow developers in mind.
Tips:
- start small
- avoid optimization early
- delay refactoring: we have limited information at the time of writing our first prototype.
- write code for humans
- The right abstractions guide you to do the right thing
As a nuclear engineer, I have never been asked to show my portfolio of reactor designs I maintain in my free time, I have never been asked to derive the six-factor formula, the quantization of angular momentum, Brehmsstrahlung, or to whiteboard gas centrifuge isotopic separation, water hammer, hydrogen detonation, or cross-section resonance integrals.
There's something deeply wrong with an industry that presumes you're a fraud unless repeatedly and performatively demonstrated otherwise and treats the hiring process as a demented form of 80s-era fraternity hazing.
La population veillis et se concentrent dans les grandes villes.
Similar to tailwind, but somehow better?
A phishing attack is running on crates.io
CauseNet aims at creating a causal knowledge base that comprises all human causal knowledge and to separate it from mere causal beliefs, with the goal of enabling large-scale research into causal inference.