skysight-inc/HackerNews huggingface dataset:
You are obviously referring to Python and so I would like to note a few things. (I have nothing against Ruby)

> Ruby ... its combined attributes of brevity, expressive power, and feature consistency.

> [Python] lacks the elegance and consistency

First I would argue Python is very consistent in its design, it aims to only have one obvious way to do things and so it's easy to guess how apis will work. It also aims for explicitness, which makes code very easy to follow and reason about.

Secondly on "brevity" and "expressiveness", I don't really see them as an attribute that make a language "better". Sure for experienced developers who like a personal game of code golf (don't we all at times!) those are attributes can can make coding more "fun". But that doesn't necessarily translate to code that is ideal when working as part of a team, or code that is easy to follow when a new developer starts on an existing codebase.

Ultimately I think that's why Python has gained more traction than Ruby, it's an "easer" language to follow and start with. Ruby is probably a more fun and intellectually stimulating language to work with though.
That's a very big assumption you're making. Not saying it's necessarily false, but I think it's probably wise to remember you're literally commenting on a platform run by a venture capital company. It doesn't take that much effort to create an account here. Who's to say the comment you're replying to wasn't written by ChatGPT?
Dividend derivatives have been a thing for quite a while. When Covid lockdowns started in 2020, EU mandated that EU banks are not allowed to pay dividends and Société Générale took quite a hit: "SocGen said it lost about 200 million euros on products related to the cancellation of dividend payments in the trading business." [1]

Some more information about available dividend derivatives on EUREX: https://www.eurexchange.com/resource/blob/80940/d5a6e620224a...

[1] https://www.straitstimes.com/business/banking/socgen-posts-s...
Maybe a decompiler can take you further:

https://boomerang.sourceforge.net/cando.php

https://www.backerstreet.com/decompiler/decompilers.htm
> arXiv is the biggest undermining threat to the professional peer review process, but in a weird way, it also bolsters it.

How do you mean?
The general problem with starting with desired result and working towards the implementation is that there is no guarantee you will find solution.

Not all desired results are feasible or possible even.
Why TikTok's future has never been so cloudy
Us French call that l'exception qui confirme la règle.
When reading that article I wondered whether anyone felt tempted to pipe up on that Mattermost server and introduce themselves.
Unfortunatey the world is not ready for dark themes yet. I wish I could usw a dark theme but I find the current state unacceptable. Try using a dark theme and every now and then you will encounter a searchlight-bright white area hurting your eyes and contrasting everything uglyly. Some apps just have some white or almost-white panels alongside dark areas. Many websites only support white theme or require you configure them manually (it should be a single OS-level switch propagated to CSS by a browser).

This has to chhange for the dark theme idea to reach general usability.

Thehe already has been a time when you could just tweak all your colours and fonrs in the control panel and all the apps and all the websites would follow. But this was long ago.

By the way simple light/dark switch is not enough. I also want a low-detail theme to disable all the unnecessary visual noise and soothe my nervous system while the majority probably prefers fancy and shiny bells&whistles designs.
On the contrary, see Adorno's "Punctuation Marks" (1956)[1][2], e.g.:

> There is no element in which language resembles music more than in the punctuation marks. The comma and the period correspond to the half-cadence and the authentic cadence. Exclamation points are like silent cymbal clashes, question marks like musical upbeats, colons dominant seventh chords; and only a person who can perceive the different weights of strong and weak phrasings in musical form can really feel the distinction between the comma and the semi colon.

> [...] The historical character of punctuation marks can be seen in the fact that what becomes outdated in them is precisely what was once modern in them. Exclamation points, gestures of authority with which the writer tries to impose an emphasis external to the matter itself, have become intolerable, while the sforzato, the musical counterpart of the exclamation point, is as indispensable today as it was in Beethoven's time, when it marked the incursion of the subjective will into the musical fabric. Exclamation points, however, have degenerated into usurpers of authority, assertions of importance.

1. https://www.ubu.com/papers/Adorno-Theodor-W-Punctuation-Mark...
2. https://www.ubu.com/papers/
Short answer is yes, found somewhere within this video [0]. Originally google didnt want to do ads in search at all for this very reason (supposedly)

[0] - https://www.youtube.com/watch?v=oLLxpAZzy0s
But mostly it breaks the source of the information. If you get an answer to a question, the immediate follow up should be "says who?". Certainly very problematic for anything controversial. But even mundane things, how do you know the information you get is from an authoritative source rather than some second hand, stale source on the internet.
I’m a bit skeptical. ChatGPT can still hallucinate, generating information that seems correct, but is in fact nonsense. I’m wondering how they are going to deal with that.
Sorry, Have you considered rust ?
MSVC: The Devourer of Const
Wow, nice one. I tried with a few queries, and it is better than both google and chat-gpt. Pinned as a tab and will play more with it :)
I agree, I'm not a fan of the bounce every time the focus shift or the mouse moves. The similar one you linked is Mac only.
1938 should remind us that Time's Person of the Year is not necessarily an approbation, but recognises influence "for better or for worse".
Yeah, maybe it's just that "Thay Live" is a documentary.
> Apart from CS50 and MIT's intro to python course

Those are good, there isn't much of a point in doing multiple beginner courses.
> You can't let the computer ensure the correctness of code.

But I'm not letting it do that, I'm letting the computer autoformat it, which it can't do if the whitespace is the code.

> Then function(3) will be compiled out of the if sentence, when it's clearly part of the else block.

And yet, I don't have to worry about that error because the editor is able to simply autoformat it so I can see where the error is even when the compiler/interpreter thinks it's legal code!

That's the whole point - using whitespace as part of the code means that the IDE can not, and never will be able to, autoformat the code.

Your example is one of a burden that falls to the programmer in Python, but is taken care off by the computer in other languages.

These errors, which can be automatically found by the computer in other languages, have to be manually found by the programmer in Python. It's a clear disadvantage.
Try that today with https://chatgpt4google.com which also supports Bing.
Turns out Elon Musk is not the only one who takes shitpost tweets seriously.
Who cares? This isn't engaging with the arguments, but attempting to smear the person presenting them. Whether it is done for engagement or not is besides the point
An open-source framework for data-centric AI
Senior data scientists know great ROI in real-world ML projects comes from finding/fixing issues in the dataset rather than tinkering too much with models. But this is done manually today via ad hoc scripts (Jupyter notebooks). In data-centric AI, we also use software that can automatically detect data issues (mislabeled examples, outliers, etc) to make all this more systematic (better coverage, reproducibility, efficiency, etc). While some companies are starting to offer commercial platforms for data-centric AI, cleanlab is: fully open-source, a complete software framework that can be used for many data-types and ML tasks, and I've published all of the novel algorithms cleanlab uses to help you improve messy real-world ML datasets.

In one-line of python, cleanlab can automatically:

(1) find mislabeled data + train robust models
(2) detect outliers
(3) estimate consensus + annotator-quality for datasets labeled by multiple annotators
(4) suggest which data is best to label or re-label next (active learning)

It has quick 5min tutorials for many types of data (image, text, tabular, audio, etc) and ML tasks (classification, entity recognition, image/document tagging, etc).

Engineers used cleanlab at Google to clean and train robust models on speech data, at Amazon to estimate how often the Alexa device doesn’t wake, at Wells Fargo to train reliable financial prediction models, and at Microsoft, Tesla, Facebook, etc. Hopefully you'll find cleanlab useful in your ML applications, it's super easy to try out!
>> 6.626e-34 < 9.109e-31
=> true
Plus 1-3m yen ($7500-22500) per household if certain conditions are met. But still too low imho.
I am pretty sure we have learnt that visits / clicks or "engagement" are metrics that lead to places we don't like.

Metrics don't exist in a vacuum - they not only tell us where we are, they set guides to directions we want to take.

Also required quote:

"Some one asked me " Bert Bacharach, you have written so many hit songs, what is the secret to writing a hit pop song. I said If I knew that why would I do anything other than write hit pop songs?"
Beyond feature engineering, data-centric AI can help in Kaggle. This notebook shows how easily cleanlab can improve the training dataset for an XGBoost model, producing 12% reduction in error without any change to the existing model+training+data-processing code:

https://www.kaggle.com/code/ulytkch/cleanlab-data-centric-ai...
There is a chance you're using RISC-V CPUs right now. Nvidia GPUs use them for their management logic (GSP) and Seagate/Western Digital are using them for HDD controllers. ARM used to only be used in these kinds of workloads too, you have to work your way up the stack.
The founder of the startup made a speech to TEDx [1] (in French). He is the son of one of the precursor researcher on thermo-acoustic. The speech gives some possible applications of this new technology.

[1] https://www.youtube.com/watch?v=-soze8e2Quo
We are looking for more contributors to cleanlab in 2023. Help shape the future of data-centric AI and ensure it remains free software, especially if you love Python and practical tools for real-world data science!
> If Ukraine somehow takes any Russian territory (defined as post 2014)… it is almost guaranteed nuclear weapons would be used to stop the Ukrainian advance

Nuclear weapons haven't even been used when Ukraine has hit Russias actual territory (in Russia) so why would they use nuclear weapons against Ukraine retaking its own territory?.
Create an Emoji-Meaning Website
Describe all emoji meanings in different platforms.
Sounds awesome/slick. If you know of any examples that can be shared would love to see them. My use of the fly CLI is rudimentary at best, and I don't use scripts at all, just (mostly basic) commands.
> [3] What does the DEC10 Prolog manual say about the occurs check?

See I.2.1. Occur Check of https://userweb.fct.unl.pt/~lmp/publications/online-papers/D...

A recent related discussion: https://stackoverflow.com/questions/65600226/what-occurs-che...

In general, we do agree on the observation that Prolog profits from both the theoretical and the practical side. But still even today I have the impression that the highly theoretically leaning side does not appreciate the fundamental contribution errors have on ensuring correctness properties. At least this was my impression of November 10th in Paris.

Just one personal recollection (from memory) which probably also influences my view on the Kowalski-Colmerauer relation. At a META 90 tutorial/talk about meta interpreters, Sterling attributed the origin of meta interpreters to Warren and the DEC10 manual. Kowalski responded (publicly during the talk) that this was well known to Colmerauer, well before Warren ever got into Prolog.

As to the lady you are referring to she is his widow, a linguist.
Hmm, so if java is a good introduction, I'll wait until I learn Java, thanks.
I doubt that any serious racists consider that there is some single "black race".

Nonetheless, as far as I can tell, you're presenting the case that there are significant genetic differences between black races and other races, in which case: why can't some of those alleles code for intelligence, and why can't that result in a difference in average intelligence?
Add tapioca and it's much smoother
I'm confused, are all your temperatures in Celsius except the 120F (~50°C). I assumed the -5 was -5°C but the use of F later suggests it could be -20°C.
You think people will accept a Brave new world scenario before they would accept slightly higher taxes?
what makes a network private?
As an engineer, the one thing I expect from a colleague is that they know what they know and what they don't know.

If a colleague tells me once "I'm certain it works like this" and it turns out to be wrong, probably I won't trust them again.

I already cannot trust ChatGPT, I have seen it bullshitting big time.
In today’s cryptocurrency industry, indices play a huge role in tracking the market dynamics of financial sectors. Despite the fact that digital currencies are vulnerable to enormous cost unpredictability and administrative vulnerability, among other problems, they have pulled in the enthusiastic consideration of a large number of speculators, making it difficult to disregard. In summary, digital forms of money can’t be disregarded any longer, and indices empower items around digital forms of money to dispatch and further develop their essence inside the conventional money-related biological system.
Yes and no. Platform engineers are generally very skilled developers+ devops that are able to built internal solutions for their colleagues (developers) to be able to deploy to production more effectively. So, basically, a platform engineer is removing obstacles and improving efficiency of your CI/CD pipelines. This can be done with workflows, UIs, etc. A cloud engineer will be able to manage cloud deployments, but may not be able to build these internal tools effectively.
Learn more about data-centric AI from Andrew Ng:

https://spectrum.ieee.org/andrew-ng-data-centric-ai

https://datacentricai.org/
It's not about the laws, but rather the casual racism.
The default seems to be 4 years visual inspection and 10 years periodic pressure-testing in France (I suspect it's general air compressor). https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000036128632 I don't have time to read all of that. Skiming, I see the manufacturers have a wide latitude to create their custom maintenance schedule. Interesting detail, the thresholds for inspections are given in uncompressed volume (pression*compressed volume), I guess it's directly proportional to stored energy.

I would expect a more relaxed inspection schedule in this instance because there is no significant cyclical loading of the pressure vessel, and since there is no water ingress, internal corrosion should be fine. Vibrations taken as cyclical loading can be swallowed in the bathtub curve, since you get 30000 cycles in the first second, and very little variation of stress at each cycle.

edit:

- appendix 1 if the vessel has non-corosive gas and not been de-pressurized, internal inspection is not required. Internal visual inspection only if re-pressurizing it and last visual inspection is more than 4 years old.

- you seem to be able to replace the water pressure proofing test by an untrasound test under pressure with the nominal gas, but the document describing the procedure ("Guide des bonnes pratiques pour le contrôle par émission acoustique des équipements sous pression") seems to be behind a paywall, so I don't know if it's done at nominal pressure or if you need to open the vessel
None. it's part of the free-forever tier.
Wonder what the earliest age is to have Euclid well understood in competition.

Some kids realize they are smarter than their maths teacher before age 18.
> ruby today is pretty fast

Ruby today is slow as hell, but not as much as slower than other slow as hell languages as Ruby used to be.
“ It is a zero sum game all around.”

It is not. We consumers benefit from competition, and loose from higher prices and poorer products produced by monopolies.
From my experience lurking in that repo, I found the development of Qbittorrent chaotic, and it has been like that for years.

They have no moderation in issues (hence 2.6k+ open issues);

Commiting frequency is (relatively) low for such a complex program;

And it also has lots of odd UX issues that has been solved on uTorrent at least 10 years ago. My pet peeve is that if you have "add .!qd to unfinished torrent files" option enabled, it somehow would prevent you to manually put completed files in and ask QB to re-check, a practice I often do to help seeding with files I already have (if you do so, it either totally ignore it when checking, or delete your completed file!)

I can't really tell why (lack of contributors, or just bad management), so I won't point fingers.

On the other hand, despite all the quirks and issues, the main functions work solid; and they seem to add/improve core features steadily. So I really have nothing to complain as a user. I just avoid updating to newest version in general.
I haven't noticed it.

What I have noticed is internet commenters who have never even been to Japan, let alone lived here, talking about the "casual racism" that they think is so common here just because they read someone else on the internet make that claim. I see this in probably every discussion about Japan either here or especially on Reddit.
Rationally I could see no difference in either micro dosing or 'fun' dosing by comparing a popular Asian with a Mexican strain. They look kinda different tho.
I'm one of the maintainers of this project. Comments, suggestions, or contributions are very welcome! Specially regarding expansion to support new languages/cultures.

We're looking at multiple ways to improve the project.
Python gained traction because of Google (Google used it initially then Guido worked for them for a decade+, vs. Matz at Heroku/salesforce) and then because it's the easiest way to use ML libs. That's it.

It's slower than Ruby, has worse package management and less consistent syntax but if you want to use Tensorflow, PyTorch, etc..., it's the default.
People forget that the "evacuation" happened after (and because of) a tsunami/earthquake that killed 20000 people. That was the real root cause of all the deaths.

The immediate cause of most off the "evacuation" deaths, was that a large number of very old people were exposed to moderate amounts of stress due to being relocated which caused them to die slighly before what they might otherwise have. (Kind of like when we count terminal cancer patients as dying "from Covid" if they had covid when dying).

For these people, there was no medical reason to relocate them in the large majority of cases. If you're 80+, a few MSv of exposure has no effect on you life expectancy, since you will die from other sources long before any cancer can develop.

In other words, very few years of expected life were lost, and those that WERE lost, was almost entirly due to a huge overraction to whatever increase in radiation there may have been. Which, I would argue, should primarily be blamed on anti-nuclear fear-mongering propaganda.

Imagine a racist couple living in a suburb when a Mexican family moves in to the next-door house, stressing them out. If the racist husband dies from a stress related illness after that, I would argue it was his racism that killed him, not the Mexican family.

Spreading excessive (as in actual misinformation) anti-nuclear propaganda is like spreading such racism or similar forms of prejudice or bigotry. It doesn't matter if it's Greenpeace or Tucker that spreads the propaganda.

The fact is that the Fukushima plants were built at a time when the only alternative was coal. Had they never been built, Japan would have built coal plants with the same capacity at the same time.

Given the amount of toxic polution caused by old coal plants over such a time span, I'm sure Nuclear Power in Japan has saved 10s if not 100s of thousands of lives to date, even before counting any damage from global warming.

And Japan is STILL building new coal plants, partly because of the anti-nuclear propaganda, which will continue to cause harm long into the future.

If anything, the vast majority of deaths that will happen as a consequence of the Fukushima incident, will be due to several countries shutting down (or failing to build) nuclear plants while still relying on large amounts of dirty fossil fuels, in many cases still including coal/lignite.
The Little Schemer. More value per page than basically anything else.
Module is not just code in a separate file. Litmus test: if you cannot have two modules be written in separate languages - you don't have modules. M

If all modules have to be deployed using the same build even though different build of the modules would have been API compatible - you don't have modules.
funny, I read the same thing, and had the optimistic view that maybe this is not a scam, they are not claiming crazy numbers. I suppose that since scientific machines use this apparatus, their design space has been explored in great details.
You're right that want is important. But what I think you miss (I may be wrong) is that "want" is not an empirical category.

Does a cloud want to rain? Or does it just rain because it obeys physical laws as part of a huge complex system?

Do I want to have a cup of coffee? Or a job? Or a girlfriend? Or am I likewise just doing things because my atoms obey physical laws as part of a huge complex system?

This is not a scientific question. It is a teleological question. That doesn't make it less important, on the contrary. It's the answers to teleological questions which make anything important, including the scientific questions which happen to be important.

So the question is not, "what can we do to make a machine want things", it's "When should we ascribe what a machine does to its own wants".

And my answer is "never". Not as long as it's a product of our wants, which they always will be.
This reminds me of something a few friends and I tried a couple of months ago: No matter what prompt was used, neither Midjourney nor Dream Studio could generate an image of a man wearing a red suit jacket with a blue shirt. (We were trying for red suit + blue shirt + white tie... but even just the first two proved impossible.) Presumably the combination is so unusual as to run counter to the training data of the models. Likewise for a forehead with three eyes.
Haha! Brilliant. Next is to configure based on "highness"....
It would be interesting to understand what % of searches actually need ChatGPT. I figure more than 80% don't require it.
No Tesla on the list? I guess they've probably started remote stuff earlier and thus all the hacks and disclosures happened ages ago.
East Germans' votes count just the same as west Germans'. Same in the US, only worse: votes in Iowa and Idaho count more than votes in California and NY. That's how the US got Trump. You seem to have forgotten about that 4-year period of hell.
I've always wished there was a social network that applied some sort of "I am interested in [person] by [amount]%" premise, but recursively.

E.g., suppose I tell the network that I'm 80% interested in William Gibson, and I set my "see posts by" threshold to 60%. I would then see all posts from William Gibson, as well as any posts from people he's at least 75% interested in. And of course I'd also see posts from more distant connections, if the chain multiplies out to more than my view threshold.

Have any networks ever done something like this before? Or with "interest" swapped for "trust" or some other stat?