skysight-inc/HackerNews huggingface dataset:
> Edit: I’ve received a few comments on the pic I’m using. This image was AI generated from Bing using the prompt: “Mannequin CEO conducting a Boardroom meeting with mannequin Directors.” And yes, I’m aware it’s a bit inappropriate, but decided to intentionality go with the first image Bing generated. Apologies if you’re not a fan, but (in my opinion) the best way to “fix” these things is to put a spotlight on it.

It isn’t just inappropriate, it’s really sexism, too. The fact that the male mannequins wear suits and the female mannequins are naked speaks volumes about the internet used in training the model; and also about the reinforcing nature of these things.

I’m not sure there’s something profound here, I’m just sad people continue to proliferate these stereotypes.
GitHub has the feature of downloading the tree as a zip, why is this not used?
I've never seen anyone do mutation testing with software (it's pretty common for hardware though). Does it require language level support?
I use both Deno and Bun in production (albeit, on different projects).

They are both great upgrades from node. In particular with the first class support for TypeScript.

Bun is great for large projects with the enhanced DX over any node based environments I have worked on - I use it for a mono-repo project with several frontends and a GraphQl backend. Involved test suites run in 5 seconds, etc.

Deno seems to work really well i lambda style environment (I use them with Supabase) due to their module approach that are entirely stand alone. This is great for small scripts to glue things together.
It's an interesting piece of projectile in that case though. You could throw it into the windshield of a NASA administrator and they couldn't sue you for the damage, they'd have to send the bill to whichever country made the thing.
I made an app to import products from AliExpress to Shopify on scale
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A lot of the yolo stuff from ultralytics is AGPL3 fyi. Recommend caution depending on what code or models / model lineage are used
I know, I read the article. So what? She got paid for the image (according to the article) and she was a model.

If you sell a picture to me you can't come back 40 years later demanding me to stop using it just because it was successful, even if the picture is of you.

People accuse me of not reading, while seemingly not reading the entire thing themselves.
https://epicbeatz.ytmnd.com
This is an interesting idea but I'm having trouble understanding what you're to achieve. Do you mean the LLM would simply continuously update it's context window with incoming data feeds realtime, and you use it as an interface? That's pretty akin to summarization task, yes? Or are you augmenting the streams with "metadata" you mentioned?
Thanks. I specifically want something that is designed in kicad, open source, and easy to manufacture at JLCPCB using parts already in stock there. Maybe there are more options now but two years ago when the Odrive we were using was discontinued and their new products got more closed source and more expensive, we didn’t have a lot of options. At this stage I’m very happy we’ve gone with our own design because we have so much flexibility on packaging and specification. Working with third party devices sucked.
I am curios, why do you think they did not succeed yet?
https://lukecompany.ytmnd.com/

Edit: Two more personal favorites from back in the day:

https://vaderholidayspecial.ytmnd.com/

https://bondfreaksout.ytmnd.com/
For fun, I tried doing that with duckdb, and here is my result:

duckdb -list -c "from (from read_text('sp-current') select regexp_extract_all(content, '(\S+)\s+(.+)', 2) as value) select concat(value[4], ' by ', value[2])" | sed -n 2p
I don't have any issue with ultra rich. I have many issues with some non-essential things that surround them:

- mostly, the ability to not pay their fair share of tax. I don't want to see them taxed 300% or whatever, I want them to pay the same marginal tax rate as normal people

- their outsized ability to finance politics. Political parties should have a fixed, transparent source of financing, from the state ideally, current system is basically legalized bribery.

- their outsizes ability to be politicians. Smart middle-class (or below, income-wise) people simply cannot afford to run for parlament and leave their career behind for N years. But this means politicians are overwhelmingly rich and skew the representation in supposed democracy

At least the first two are easy to fix.
I think you should stir it occasionally. It might depend on the pasta, though.

https://www.thekitchn.com/kitchen-mysteries-why-stir-pas-112...
I can imagine it. In fact, I would trust josefk 100% if he says it is. Did you try it on a big binary yourself?
> Perhaps the universe is not a computer, perhaps its origin and its conclusion are fixed, and it speeds along a trajectory between the two that, when all possible histories are considered, is the only one it could have...

Perhaps; note that Einstein expended a great deal of effort attempting to patch up this world view in the face of QM, but kept running up against the experimental results that alea iacta est.

(Compare: Aquinas, Leibniz, Spinoza, https://xkcd.com/2904/ )
*of Python users that completed the Python Jetbrains survey.
https://github.com/selmetwa/parallel-arabic/blob/e1b38771333...

Spelling mistake here - should be "sentences", not "Sentances".
Why is this a thing? Can't packages use specific tags from the git repo? It seems so incredibly stupid to allow this, throwing out all of the "oh but it's open source you can review it" arguments in one go if the source displayed on GitHub is not what ends up used...
> emails are still largely plaintext

But people's private digital communications have largely moved to platforms like WhatsApp and Messenger which enjoy end-to-end encryption. Email, at least between major providers, today enjoys TLS over the wire while being sent.

I'm sure there are various flaws and weaknesses and maybe even backdoors, but trying to make it sound like we lost the fight for encryption because emails are in plaintext is rather disingenuous.
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Looks awesome! Trying to use it for a toy project, I realized you almost always need some persistence layer. I see you support volumes and you have some guides about deploying databases. How does that work? Are they also "scale to zero"? Why is Postgres special? Referring to the "contact us" mention.

Or if I want to "bring my own DB", what are the latencies to other providers? Can I somehow host a DB in the same datacenter as you are?

What do you recommend for serious usage when I want low latencies app <-> DB and I don't want to lose any data? :-)

Another question - is there something like cron?
Fair points. Although Windows changed a lot the last 20 years. The hardware issue i can confirm - only reason my desktop workstation is still on windows.
I don't think open models offer any defence advantage whatsoever.

Compare nukes. You can't stop a bad nuke with a good nuke. If I give you a nuke, the probability that you get nuked only goes up.

Afaict, nobody has even offered any explanation how open weights do anything to defend you from bad actors with LLMs.
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For many projects, the release tarballs only contain the files necessary to build the software, and not the following items that may be present in the same repository:

- scripts used by project developers to import translations from another system and commit those translation changes to the repository

- scripts to build release tarballs and sign them

- continuous integration scripts

- configuration and scripts used to setup a developer IDE environment
Still can’t use it without dgram support. But it’s nice to see it adding batteries.
The Backdoor to Control the Internet
There are almost 200 countries in the world. Even if the US and the EU and a bunch more ban open weight models, I doubt they'll succeed in convincing every country to do so. And whichever countries decide not to follow the ban, could thereby give their own AI industries a big boost. As the world becomes ever more globalised, the potential effectiveness of these kinds of policies declines.

Sure, they could try to negotiate some kind of UN convention for a coordinated global ban. But, given how fractured global diplomacy has become, I doubt the odds of something like that succeeding are particularly high.
Why not use NestJS, a framework that solves the engineering problems you encounter in other Node.js frameworks?
Never forget the video where Marc was asked what is Web3 and he spent 5 minutes talking gibberish nonsense.
I like open models, I use them myself. But I think from a safety view, we just need to stop all research advancing the AI frontier. And honestly, banning open weights is a pretty good way to do (at least some part of) that.

Yes, it would be a disaster. That's the whole point. I think the field should be hit with a disaster, because it's broadly harmful for the species.
As I've mentioned above, I did read the article but I don't see how it makes a difference.
Economically, the currency has far less buying power than in the past, especially regarding housing which is the primary necessity for family formation. When the 'big things' are out of reach, why go to all the trouble?

And when the things that used to provide stability and fulfillment by default (home, family, steady employment, stable social life) are no longer available, then happiness is also discretionary.
What makes maintainers of major distros still rely on questionable tarballs to build packages? It's not as if these essential programs don't have a public, authoritative git repository.

Is it because of inertia, because we've been using tarballs since before VCS was a thing? Is it to reduce the burden of package maintainership, by letting upstream do most of the transpiling and autotools plumbing work? Is it because some assets and test data are only included in the tarballs? Why are they not committed, either to the same repo or (if upstream wishes to keep the main repo small) some other repo?

People have been calling for reproducible builds for years now, but reproducible builds don't mean anything if they are not built from authoritative sources with immutable commit IDs.
Kiwi? They're not the only only country with sheep, cliff edges and Wellington boots you know . . .

See: https://www.youtube.com/watch?v=6ZAh2zv7TMM

James T, Peter K, Robyn O. et al design and proto build early 1980s, second and mid gen versions mid 80s to early 1990s. Funding suspended as computer vision was being added.

Tangentially, (years later, next university across in same city): https://news.ycombinator.com/item?id=39902710

> the Darwinian doctrine of the survival of the fittest

That was Spencer; regrettably both Darwin and Wallace jumped on that proto Nazi dog whistle band wagon.
Everyone in Japan will be called Sato by 2531 unless marriage law changed
Not an April Fools'; the original analysis of Japanese convergence of last names is at https://think-name.jp/assets/pdf/Sato_estimation_yoshida_hir....
Especially annoying given that they could have been easily adopted. Infinity could've been encoded as `1/0` (among most other possibilities). NaN could've been encoded as `0/0` (again, among most other possibilities). JSON doesn't allow all possible JavaScript literals anyway, so these encodings might have been worked if they were somehow standardized.
When are we getting UDP/dgram support?
I also find Gemini more straight to the point that ChatGPT and it's faster than GPT-4
Maybe not. MySQL and PostgreSQL are both capable of performing this task effectively.
Jon Stewart claims Apple wouldn't let him interview FTC chair on his show
How would your "ideal" market then look like? I'm not getting what it "means" for small players to have equal access to the market than large players, of course greater resources will lend itself to greater reach.
What would be the problem of downloading a few MB more, aren't these source tarballs just used to build the distro binary and then they are deleted?
Maybe those aren’t the strong examples I believed them to be. My understanding was that both Kodak and Nokia struggled to adapt to the requirements of a new age, which is the point I’m making about banks, that like many businesses, they are not wired for change.
test the suno ai generate one topic
lose work on coding..
There's also onetun. https://github.com/aramperes/onetun
Should textbooks and science related articles stop saying "we know" then, if every now and then statements change?
Rust can:

- Do the things C and C++ can do.

- Without the memory corruption issues those languages are infamous for.

- With the conveniences you'd expect of any post-internet language. (A library ecosystem that's unified around a standard build system and package manager, an async IO story, UTF-8 strings, etc.)
Generative AI for Translation in 2024
Rigorous, well-documented investigation into comparative performance of 9 large language models (LLM) versus 8 specialised machine translation (MT) models.
Methodology, analysis, results and even price comparison are given.
Caveat: this is just for two Indo-European language pairs, both with English as a source language: English to Spanish and English to German.
There are two main reasons, one bad, one good(-ish):

(1) Traditional autoconf assumed you only had a shell and cc and make, and so the ./configure script which is a huge ball of obscure shell commands is shipped. I think most distros will now delete and recreate these files, which probably should have happened a lot earlier. (Debian has been mostly doing this right for a long time already.)

(2) Some programs generate a lot of code (eg. in libnbd we generate thousands of lines of boilerplate C from API descriptions*). To avoid people needing to install the specific tools that we use to generate that code, we distribute the generated files in the tarball, but it's not present in git. You can still build from git directly, and you can also verify the generated code exactly matches the tarball, but both cases mean extra build dependencies for end users and packagers.

* Generating boilerplate code is a good thing in general as it reduces systematic errors, which are a vastly more common source of bugs compared to highly targeted supply chain attacks.
I'm the author of mutmut, the primary mutation tester for python, so I think I can speak a bit on this.

It's quite straight forward to do MT in software. I've done quite a bit of it for specific libraries that I've built (iommi, tri.struct, and internal code). A big advantage in my book of MT over PBT is the much lower cognitive overhead for MT and that you can know you have done it completely. The second may be just a false sense of security or an emotional blanket, but still.

I have written about mutation testing a few times: https://kodare.net/2019/04/10/mutation-vs-property-based-tes... https://kodare.net/2018/11/18/the-missing-mutant-a-performan... https://kodare.net/2016/12/12/mutation-testing-in-practice.h... and my talk on mutmut from pycon sweden is on youtube: https://www.youtube.com/watch?v=fZwB1gQBwnU
https://archive.is/JdB26
I'm not claiming the attempt didn't succeed. I'm claiming that the attempt didn't occur, and that distributing the backdoor more widely would only have created the preconditions for an attempt. We don't know who the intended target was, or what the intended payload was.

Yes, subsection (b) of the CFAA covers attempts at acts described in subsection (a) of the CFAA. Which specific act under subsection (a) do you claim has been attempted?
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I am less open to this. You mean listen to the people that try to implement the pretty well known idea of regulatory capture?

The abilities of LLMs are limited and there is reason to believe that this approach will hit a wall at some point where new strategies needs to be considered.

That said, luckily I believe it hard to put a lid on open weights again. A lid that would not solve any tangible problem anyway.
Sorry for the inadvertent slur, mate!

Funding suspended after the geneticists bred cattle (Australian Miniline) with small enough hind legs?
Money, talent, and institutions still cluster around the US and EU where the best universities are so this would hurt seriously AI development.
I prefer collocating docs with inplementation, but it requires a designed architecture to support. Example: https://github.com/xixixao/recomputer
> That would be Python.

Not necessarily. In practice, in C-as-actually-used people (should) set up linters and formatters, so that you can rely on indentation.

When programming, this means that you can behave as if both curly braces and indentation are significant, and you get an error when they are out-of-sync.
[I've never used any mutation testing tools either.]

In general it doesn't require language-level support, of course - you can just make a change and rebuild it, à la Stryker https://stryker-mutator.io/docs/stryker-net/technical-refere... . PITest operates on JVM bytecode (https://pitest.org/) for orders of magnitude speedup.
This is what the cargo/rust ecosystem does :)
It's absolutely because of inertia. Cutting a tarball is a very public indicator that the software is ready to be used. A git tag or branch doesn't have the clarity of "use this" as a release tarball does.

That said, this is absolutely going to be changing now. We obviously can't keep relying on tarballs anymore. We'll find a new normal that will work for a very long time until some other critical issue arises and the cycle repeats.
> There are doubts that industrialization can create the game-changing benefits it did in the past. Factories today tend to rely more on automated technology and less on cheapworkers who have little training.

> Multinationals like Goldman Sachs, Victoria’s Secret and the Economist magazine have flocked to the city and set up hundreds of operational hubs — known as global capability centers — to handle accounting, design products, develop cybersecurity systems and artificial intelligence, and more.
I don't understand why PBT is above mutation testing. It seems like it's more of a popularity contest kind of thing, and not a matter of engineering tradeoffs or how useful it is.
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I have extensive experience working on drones.
Writing drivers for new sensors. Working on ground control stations for custom inputs. Telemetry data and getting that fed over different types of radios. Wrote software to SSH over radio to run different scripts. Building drones and implementing different algorithms such has model predictive control. Sensor fusion between GPS, Computer Vision, and LIDAR.
Zuckerberg’s take on Vision Pro was pretty interesting
> Open model weight bans will likely be struck down as First Amendment violations because, at their core, model weights are a form of expression. They embody the ideas, research, and innovations of their creators, similar to how code was deemed a form of speech protected under the First Amendment during the encryption debates of the 1990s

I hope you are right, but I think there are some nuances here you aren't considering.

Courts have ruled that code is protected under the 1st Amendment because it is something created by human beings, and expresses the ideas and style of its human authors. There is a clear analogy to literary works – which is also supported by the precedent of copyright law protecting computer source code on the grounds that it is a type of literary work – and literary works are a core part of the 1st Amendment's scope as traditionally understood (even back to its original framers).

Whereas, model weights are just a bunch of numbers produced by an automated process. The legal argument that they should be protected by the 1st Amendment is much less clearcut. I would be happy if they were found to be so protected, but one ought to be careful to distinguish what one would like the law to be, from what it actually is.
Cambodia's landmine-sniffing 'hero' rat Magawa dies in retirement (2022)
Not sure either. Could exist but don't know about it and sadly Wolfram lacks a formal specification. After bit of searching though found there're few[0] packages to enable object-oriented programming. So can probably assume there isn't native support for it. Seems the Wikipedia page needs more thorough research.

[0]: https://raw.githubusercontent.com/antononcube/MathematicaFor...
For [1], unfortunately it does.

True regarding the second point.

[1]: https://techcrunch.com/2021/09/06/protonmail-logged-ip-addre...
Rain can improve signal quality by lowering the noise floor. Essentially, it drowns out the weaker signals originating from other emitters, making your own signal stand out.
Variation on a theme: https://hardsafety.ytmnd.com/