HN user
The money contributed to the Rust Foundation by large corporate members supports initiatives[0] that benefit all users of Rust, and I am happy for it. The slow and deliberative approach the Foundation took to crafting the AI policy, and even the hedging language in the policy itself, are indicators of a healthy open organization. The author's scorn shows immaturity.
[0]: https://rustfoundation.org/#initiativesYou're incorrect. The letter ו (vav) is pronounced /v/ in modern Hebrew but /w/ in Biblical Hebrew and other ancient Semitic languages, which is why the letter is referred to as Waw and transliterated as 'W'.
https://www.biblexika.com/bible-lexicon/navah-h5115
https://hebrew-academy.org.il/%D7%93%D7%A3-%D7%9E%D7%99%D7%9...
Excellent write-up!
Is the magic a property of the broader language-family (and could be experienced with Janet, Racket, whatever), or Common Lisp specifically? When people praise the core execution environment they're typically praising Common Lisp specifically.
What's the quintessential "now I get it" experience, in your mind?
What exactly would you have done differently?
Cargo made its debut in 2014, a year before the infamous left-pad incident, and three years before the first large-scale malicious typosquatting attacks hit PyPI and NPM. The risks were not as well-understood then as they are today. And even today it is very far from being a solved problem.
Please share this with someone who doesn't know the story yet. Ingenuity alone can't save our species. We also need the will to do good. We are living through a moment of deep cynicism about our ability to solve existential problems. Let this be a reminder of what we are capable of.
Having worked with both kinds, I have generally preferred three-dimensional human beings to cut-outs from a compliance training manual. Being fundamentally kind and collaborative is prerequisite, of course. But so is having a modicum of spite, misanthropy, pettiness, irony, and dark humor. An appreciation for the tragic sense of life. How do you get through the day if all you get from your coworkers are patriotic slogans?
Flame graphs have an official web site, maintained by Brendan Gregg, who invented them: https://www.brendangregg.com/flamegraphs.html. It's a useful starting point.
My hunch is that the same is true of Wikipedia's choice of Lua for template scripting, made back in 2012.
https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists...
you might not understand what the problem is for working and middle class people quickly finding themselves surrounded by a sea of people with dramatically different cultures, values, and religions
Of course. That is why Trump received the highest voter support in counties with the lowest levels of immigration.
https://latino.ucla.edu/press/report-finds-white-voters-supp...
I am interested in this topic, but this textbook is too daunting for me. What I'd love is a crash course on Bayesian methods for the working systems performance engineer. If you, dear reader, happen to be familiar with both domains: what would you include in such a course, and can you recommend any existing resources for self-study?
It has access to the current page, so you can ask Gemini questions about its content.
Your content is great, and the participation of non-native English speakers in this community makes it better and richer.
The level of intellectual engagement with Chomsky's ideas in the comments here is shockingly low. Surely, we are capable of holding these two thoughts: one, that the facility of LLMs is fantastic and useful, and two, that the major breakthroughs of AI this decade have not, at least so far, substantially deepened our understanding of our own intelligence and its constitution.
That may change, particularly if the intelligence of LLMs proves to be analogous to our own in some deep way—a point that is still very much undecided. However, if the similarities are there, so is the potential for knowledge. We have a complete mechanical understanding of LLMs and can pry apart their structure, which we cannot yet do with the brain. And some of the smartest people in the world are engaged in making LLMs smaller and more efficient; it seems possible that the push for miniaturization will rediscover some tricks also discovered by the blind watchmaker. But these things are not a given.
OK, I will be the useful idiot. I don't fully understand your anecdote. Could you explain what is exactly it that you perceived and that the other engineer failed to see?
For someone new to time series analysis, how did you choose these particular algorithms? Are they standard in the field, or more of a personal selection?
What is it about Zed that you find superior to VS Code?
I am starting to understand why these luminaries warn us about a future that is dominated by a solitary superintelligence, self-obsessed and uninterested in humanity.
POCSAG is an ideal for broadcasting low-sensitivity push notifications, like "report to your local commanding officer by 15:00 today". These messages don't need encryption, just a reliable way to reach militants without revealing their location.
Armin advocates for 'uv' to dominate the space, but acknowledges it could be rug-pulled due to its VC backing. His solution to this potential issue is that it's "very forkable." But doesn't forking inherently lead to further fragmentation, the very problem he wants to solve?
Any tool hoping to dominate the Python packaging landscape must be community-driven and community-controlled, IMO.
This brings to mind Chernoff faces[1], a type of visualization where facial features are mapped to data points.
[1]: https://en.wikipedia.org/wiki/Chernoff_faceWhen using Jpegli as a drop-in replacement for for libjpeg-turbo (i.e., with the same input bit-map and quality setting), will the output produced by Jpegli be smaller, more beautiful, or both? Are the space savings the result of the Jpegli encoder being able to generate comparable or better-looking images at lower quality settings? I'd like to understand whether capitalizing on the space efficiency requires any modification the caller code.
Wonderful piece. Dennett knows how to write. And he captures the pleasure and privilege of Hacker News with this felicitous phrase:
Distributed understanding is a real phenomenon, but you have to get yourself into a community of communicators that can effectively summon the relevant expertise.
Could someone explain how re-directing from a subdomain (chess.com.foo.bar) somehow got past some same-origin check?
It's less complicated than you might think. You call into SQLite C library functions using C calling conventions. Here's the relevant code: https://asm32.info/fossil/asmbb/file?name=source/sqlite3.asm...
Which applications you use is almost irrelevant -- over the past several years, there has been a steady stream of "zero-click" exploits that allow an attacker to compromise phone with no user interaction. The remote code execution vulnerabilities discovered last year and this year in the modems used in Samsung devices require nothing more than knowing the victim's phone number.[1] And you don't need to be particularly important to be caught in a wide net, cast by criminals looking to build up a bot-net or harvest data from as many devices as possible.
[1] https://googleprojectzero.blogspot.com/2023/03/multiple-inte...
Highway (https://github.com/google/highway), Google's SIMD library, lets you write length-agnostic SIMD code. It has excellent support for a wide range of targets, including both RISC-V and Arm vector extensions.
The ability to invoke functions from wikitext and interpolate the result into the rendered page has been a feature of Wikipedia for over 17 years[1]. The ability to write custom functions in Lua was rolled out a decade ago[2].
[1]: https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists.wikimedia.org/message/2MMGKQV5EDDXR27RLQVCZ6TCYIXK2R24/
[2]: https://en.wikipedia.org/wiki/Wikipedia:LuaGoogle.org donated money and staffing to support the Abstract Wikipedia project. Two of the seven Google.org fellows who were supporting the Abstract Wikipedia team are permanently based in Zurich[1], and Google was able to provide space to meet. It was the most practical place to hold an off-site.
[1]: https://diff.wikimedia.org/2022/04/14/google-org-fellowship-with-abstract-wikipedia-and-wikifunctions/