skysight-inc/HackerNews huggingface dataset:
Having a potentially untrusted client connect to the erlang node as a c_node (which seems to be what zerl does) is not a good idea generally, as connecting that way essentially allows the client to execute arbitrary code on the server.
Hetzner will arbitrarily null route your traffic, proceed with caution running anything important there.
Oh man, I thought this was in reference to Apollo, not Voyager!

I'd say that it almost certain that by the time Voyager was launched, there would have been robust authentication just out of necessity. By that time they'd have decades of experience dealing with software bugs, to say nothing of bad actors.
I wanted to be both transparent and protect myself by adding the disclaimer. I perhaps should have added that I am not a lawyer to make it clearer.
Ask HN: What's your tips and tricks for the job seeker entering 2025?
I, like many people, are entering the job market again and preparing to do a job search. What are the courses, tools, blog posts, and etc. that were useful to you as you were looking for a job? What tools did you use for your CV/Resume? Are cover letters still a thing?

I personally anticipate finding a job through my network but that won't be the case for many people. What advice do you have for people applying on job boards? I've been told that using LLMs like ChatGPT can help pull out keywords and craft a message to get your application a higher rank on the sourcer's stack.

Hiring Managers and Recruiters, What are the trends you're experiencing? What are the tools and paradigms in demand? I personally don't have a lot of ML/AI experience so I anticipate going through some relatively simple course to get the concepts and language around it down.

I'll go first:

https://algo.monster/ was a tool that was recently recommended to me.
TinyTroupe, a new LLM-powered multiagent persona simulation Python library
The point of an experience is totally about the experience, it's why I don't even take my phone out to take pictures or videos at a show. People get hung up thinking this is about "proving" you were at a show, they even get surprisingly angry in comments about this on my ads, but it's totally not the point.

This has nothing to do with the actual concert experience or proof, it has to do with your tradition of collecting ticket stubs that you can go back to for that nostalgia bump and/or to keep track of every event you went to. It's about having a jar/box/album of memories.

If you've been collecting for 20 years and suddenly someone takes away your ability to add to your collection, you are going to get pissed off, and trust me, people definitely do.

Sure you can do anything else to collect, but the power of a streak/tradition/collection is real. It drove me to create this entire business because looking at a printed email or post-it note just made me mad instead of nostalgic.

Going through my binder and remembering that I saw Nine Inch Nails at a 1000 person venue is awesome, or when we saw Sabaton with 40 people and the singer just came into the audience to put his arm around me while singing, and it's not like I'm going to stop going to 10-30 concerts a year for the rest of my life, so more cool things will happen, memories will need to be preserved and it's nice to have them all fit into one album instead of anything else. I've got tickets for shows I've forgotten I've even seen, but it's in there with the mix which is handy. Forgotten venues, crazy low prices, "holy shit this massive band opened for these guys back then???".

Some people see tickets as trash and clutter, that's fine, for others it's a precious memento, despite how useless, wasteful, or unnecessary it is. I've got room for junk in my house that's meaningful for me, so it doesn't bother me to have, quite the opposite.
Fair enough, well said! I'm fighting a philosophical battle that's somewhat orthogonal to publishing writing, so "it's a virtue" is already a win for me.

For any passers-by who might not realize, this kind young man is a recent (?) celebrity in the AI space for publishing quick, no-nonsense takes on the cutting edge of open-source LLMs. So he's got the receipts to back up this claim, lol
Lower income, higher inflation? New data bring answers at last
Where’s my peril-sensitive sunglasses?
I don't understand why raytracing is rejected out of hand. It never defines the target hardware range, but the 3080 is very fast at hardware ray tracing. Ray tracing pipeline objects also solve the coupling issue the article complains about because shading can be moved into the closest hit shaders, which the pipeline can have many of and they can be assigned per geometry in the TLAS.

I actually expect that a raytracing based implementation is more accurate with about the same performance as the shown implementation.
I'd never read these wiki articles before (thanks for your question):

https://en.wikipedia.org/wiki/Female_sperm_storage

https://en.wikipedia.org/wiki/Cryptic_female_choice

Which I found linked from /wiki/Spermatheca
You are right, graphs are alive since 18.1. I fixed the article. Thank you.
Are you asking if it's well known? I don't think it is actually used in any context, it is so unstable that if you start it and do nothing, it will crash in a few seconds.
Totally get and applaud that. Indeed, I built a high-performance Ethernet driver for the STM32F4 chips just because I wanted to say I've done it.

But his stated goal is to build a TCP/IP stack, not futz around with SPI and the particulars of an idiosyncratic network chip. There will be plenty of work (and learning) to do once he starts climbing up the network stack.
This is full of issues. There has been a recent discussion about it here¹, you may be interested on that.

Also, it doesn't do much.

1 - https://news.ycombinator.com/item?id=41976529
Problem was that iPadOS 18.0 did not support alive graphs.
One would think, but it's an industry I'll never understand, either.

Coca-Cola doesn't need to advertise. It's delicious, everyone knows it exists, and yet they still spend ungodly amounts of money on advertising.

KO shareholders presumably wouldn't let them get away with this if it wasn't justifiable. So there's something I'm likely missing.
I guess the part that I could’ve been more explicit about is that I am thinking both complex language and complex language skills being necessary together to push civilization forward. The takeaway I had from the articles communication discussion was that their communication, while unique, is focused directly on mating, and predation (or avoiding predation). Those goals seem to be the norm in the animal kingdom. While I think the argument could be made that the human demonstrations can be to the same ends, they are many more layers of abstraction in between which is what ends up creating complex civilization.

(Eg, status is a form of mating, but we humans have so many tangential levels of displaying status that technology like a Lamborghini can become a mating signal, rather than using pure dominance. The combination of complex social behaviors and communication are necessary before the technology develops)
> Because that gives a sense for what the underlying tonality is. You can’t get it just from the notes of the chord vertically in that one instant.

I'm not at all into music theory and such, but your passage just reminded me of what AlphaPhoenix mentioned in his latest video[1], where he analyzed two frames from an experiment, both with a piece of string stretched horizontally across the screen.

They look identical, but they are not. One is a stationary string and the other in an oscillating string which just happens to be flat at that moment in time, but the pieces of the string still carry momentum.

[1]: https://youtu.be/WCKt405t9V8?t=478
Of course, we do have tree hugging octopus today: Save the Pacific Northwest Tree Octopus! https://zapatopi.net/treeoctopus/
(j/k)
Correct me if I'm wrong, but we have no recent and explicit US gov't guidance on whether these model weights are copyrightable. Copyright office has said ai-generated outputs are not copyrightable[1], but hasn't weighed in on weights(?) Kind of seems like that should change?

Wasn't a relevant question for AlphaFold2, as the weights for it were CC BY 4.0 license.

These model weights (and many other ml weights) are clearly very useful in a commercial settings, but google thinks it can scare people into not using them with the wording of their license, are they right?

[1] https://libanswers.baylor.edu/faq/409539
When I imagine, the "videos" are devoid of emotion or feeling, unlike my memories. This specific "thing" has a strong feeling and emotion connected to it, unlike the other thinking that is very sterile, it's the only thing I carry that I know I've not experienced but it has the association of memory qualia.
Are you literally calling every commenter of this subthread an inexperienced developer? Seriously?

First, the subthread starts by claiming you cannot check for the existence of a file, which is simply false. You can try to open it, you can try to read metadata from it, you can glob it, etc. all of it using language builtins.

But then you claim that you need to check for a file's existence without actually opening it.
If anything, as we people are constantly pointing to you, any code which does it is a code smell at the very least, and very likely wrong. There's a reason TOCTOU is a thing, and why these exist/access APIs usually have huge disclaimers right in the documentation.

But let's entertain the idea. Maybe you really have a crappy IPC handshaking mechanism implemented with temporary files (sorry!). Maybe you want to avoid side-effects of trying to open file (virus scan overhead? network traffic?) . It cannot be that you want to preserve the atime, because that would also be a code smell, seing how undefined the atime is on win32. On win9x, for example, reading metadata updates atime - likely the AV scan, but nonetheless; also, the granularity is only 1 day (welcome to FAT).

The WA offered by GP actually very likely opens the file anyway, so clearly he didn't have this requirement.
But anyway, this scenario is no longer a "simple" feature whatsoever, and therefore the original complain loses all weight.

And to top it all, you _still_ can check the existence of a file w/o opening it by just trying to read the metadata, using any of the myriad functions at your disposal, in around two lines of code; no need to interop with Win32 at all. In fact, (trying to) get the file's metadata is exactly how .NET's File.Exist does it.

If you find yourself in a situation where everyone thinks you are trying to do a senseless thing, it is more likely you are, rather than everyone else being junior and inexperienced.
I built something like this in CLIPS at university. Would easily suit Prolog too. When compared with the bookkeeping needed in this example, it’s a great demo of logic programming’s strengths.

(If only I could find the code)
Golden Age of Building
I find romance when I start to dance in Boeing Wonderland
A mystery not mentioned in the article: why is TB so unusual in places like the US? The US does almost nothing to control TB. We don’t vaccinate. We don’t routinely test (except in special cases, but those cover very little of the population). We don’t treat latent cases unless they somehow get noticed. And yet the incidence of symptomatic TB is low, and there’s no sign of TB developing resistance to whatever the US is accidentally doing right.
I was thinking the way the LLMs work is quite similar to a human reading a lot of books and remembering the stuff in them be able to answer questions but not really thinking about it. GPT4 already read all the stuff and can answer back so it's hard to do much better there.

The next step would seem maybe to think about it, which o1 is maybe making a start on. If you think of humans learning say programing, they read the books and can answer questions but they have to do exercises, write code and so on which gives greater understanding which is maybe where AI needs to go next.

By the way the Altman Tan Nov 8th interview which is a source for most of the Altman mentions in the article is worth a view if you skip the boring bits https://youtu.be/xXCBz_8hM9w
Looking past earnings calls: Amazon's broad GenAI investments
How the Obelisk Made Its Home in Central Park
New elliptic curve breaks 18-year-old record
I don’t agree with this.

Yes, there are times when processes/procedures are truly unique to a firm but it usually isn’t and the firm can ‘standardize’ their process so that it fits into the ERP flow.

These ERPs are usually shipped to handle common/different scenarios/usecases and clients simply have to configure them accordingly (configuration is totally different from trying to customize)
That's acting enough like a publisher that 230 might not apply. If they decide to make something illegal viral, it could lead to interesting litigation.
Pandoc, an html template for the headers/footers and optional js, a css and a small shell script is usually enough.
I believe this is key. Agile is the exact opposite of what should do when writing software for a mature organization like government.
Just "bad-sponsored"
Open Investment Data – 25 years of data
News Sentiment: Ticker-matched and theme-matched news sentiment datasets.

Price Breakout: Daily predictions for price breakouts of U.S. equities.

Insider Flow Prediction: Features insider trading metrics for machine learning models.

Institutional Trading: Insights into institutional investments and strategies.

Lobbying Data: Ticker-matched corporate lobbying data.

Short Selling: Short-selling datasets for risk analysis.

Wikipedia Views: Daily views and trends of large firms on Wikipedia.

Pharma Clinical Trials: Clinical trial data with success predictions.

Factor Signals: Traditional and alternative financial factors for modeling.

Financial Ratios: 80+ ratios from financial statements and market data.

Government Contracts: Data on contracts awarded to publicly traded companies.

Corporate Risks: Bankruptcy predictions for U.S. publicly traded stocks.

Global Risks: Daily updates on global risk perceptions.

CFPB Complaints: Consumer financial complaints data linked to tickers.

Risk Indicators: Corporate risk scores derived from events.

Traffic Agencies: Government website traffic data.

Earnings Surprise: Earnings announcements and estimates leading up to announcements.

Bankruptcy: Predictions for Chapter 7 and Chapter 11 bankruptcies in U.S. stocks.
In my area, they've released long extinct (for the UK) long-horn cows, and it's improved the local ecosystem [1] Similarly with beavers in the UK as well.

Arguably mammoths would likely do the same after some period of time, and I'd hope other mega-fauna we've chased, killed and eaten into extinction.

[1] https://www.kentwildlifetrust.org.uk/news/after-year-bison-f...
I feel like any (edit: small) company not outfitting their offices largely from cast-offs like this is failing their fiduciary duty.
> What’s wrong with poodles

Poodles have similar issues to French Bulldogs because they have a genetic bottleneck as well.

> To observe and study them, for one. Also, to see if we can (and learn how to and how not).

I can understand the reasoning of trying it for the sake of trying (ethical considerations aside), but I'm not sure if an extinct species that is resurrected via some form of cloning would even be a representative sample to observe actual behavior.
There are so many Chesterson's Fences[1] being destroyed with modern UX design. Everyone just wants to change things for change's sake. Or worse, to simply have another piece of unique artwork for one's portfolio. Whenever I've tried to push back on Yet Another Big UI Design, the reasons for doing it are always so vague: Our current product looks "dated." It's not "fresh." Competitors' products look "sleeker." We're using "outdated" design language. So we overhaul the application, throwing years of know-how and bugfixes away in all the refactoring.

1: https://en.wikipedia.org/wiki/Wikipedia:Chesterton%27s_fence
Pointing out the wrong path does not require providing a good one: it's better to stay put rather than engaging in a bad path.

I totally agree with you about the cesspool that X/Twitter has become.

I believe it _is_ indeed subject to several violations that it could be sued. That it could be even shut down in several liberal democracies even. Freedom of expression does not protect incitation of hate and violence, neither advertising for illegal drugs or proxenetism for one, and Twitter is littered with that, and repeatedly does not moderate. If it even collaborates with authorities. Only it requires prosecutors and states to act.

But putting the responsibility, the blame, on those that use it "for good" (for lack of a better term) is disinvesting the blame on the people actually in charge of the platform: first, Musk, his investors, and engineers/people working there that would have an alternative; second, law enforcement.
My experience with IntelliJ + a bunch of JS frameworks is that IDE-based browser debugging works quite well. Unfortunately, Firefox' remote debugging capabilities broke for me at some point, but adding a Chromium debug target in my IDE seems to work most of the time. As long as the Rube Goldberg machine that does JS transpilation includes a source map, frameworks just seem to work out of the box (as does raw JS, but that's not so common anymore).

That even includes debugging some languages compiled to WASM, like C#, interestingly enough.
Incidentally, once the author gets his Ethernet interface work he could use this to test it: https://github.com/jaylogue/tiny-echo-server
The House for coins is usually the coin creators who grant themselves a hefty chunk of the coin during initialization then often sell off rapidly when the coin gets any traction. It's even more popular with Eth shitcoins where they can drain the real coins other people have put in out of the swap contract in exchange for their. It's so common there's new derivatives of the phrase "rug pull" that have existed for years in the space talk about the projects that turn out to be hollow money boxes for the creators to pillage.

A new wrinkle is project will claim that initial coin grants are locked but just not put that functionality in the contracts that define the code so the creators can still just rug the coin.
If interested in a similar product with GCP support, check out https://cncframework.com.
Just wanted to pop in as a fellow Fluxbox user that I have essentially the same setup.

All the apps that I launch multiple times per day have their own global shortcut keys. And then for everything else I have a setup where pressing the Windows logo key brings up a "start" menu right where the mouse pointer is. From this menu I can then launch the other apps that I use infrequently. Super convenient.

But really the best part of Fluxbox is that never changes. I think I've run the setup for about 20 years by now with only occasional minor tweaks.

As an old grumpy developer things not changing without my consent is the best possible feature. I have absolutely zero interest to learn new shiny things just because someone wanted to shove them down my throat!
For reference (for the "parse transform" approach in Erlang): https://github.com/rabbitmq/erlando - it doesn't look maintained, but it's probably still usable; otherwise, you might get some inspiration from the code :) This also (ab)uses list comprehension syntax:

write_file(Path, Data, Modes) ->
Modes1 = [binary, write | (Modes -- [binary, write])],
do([error_m ||
Bin <- make_binary(Data),
Hdl <- file:open(Path, Modes1),
Result <- return(do([error_m ||
file:write(Hdl, Bin),
file:sync(Hdl)])),
file:close(Hdl),
Result]).

(if one of the calls returns `{error, Reason}` tuple, the execution terminates and the tuple is returned; otherwise, `{ok, Value}` tuple is unpacked)
Ssh is not asking too much! In the world of irony- HDMI/DP will be far harder than ssh.
Huge difference between the original GPT-3 text-davinci released in 2020 and the 3.5 version that powered ChatGPT when it was released in late 2022.
> Poodles have similar issues to French Bulldogs because they have a genetic bottleneck as well

Source?

I thought small and toy breeds make up most of the problematic breeds. Standard poodles’ hip dysplasia, like retrievers’, is mostly a product of early spaying and neutering leading to deformed hips. It’s environmental, in other words, not genetic.

> not sure if an extinct species that is resurrected via some form of cloning would even be a representative sample to observe actual behavior

It would be a guide into what behavioural factors in modern elephants were evolved versus learned. Obviously not pristinely. But it’s another data point.
Countdown to zero day is great. It straddles the line between technical and accessible to a wide audience well IMO.
I think it depends entirely on the product/audience. The selling points around infrastructure tooling are stability and reliability. Zany marketing like this invokes an "unpredictable" feeling in me which I'm not sure is a good fit.
Why bring up breeding for poodles in context to reviving extinct animals?

Poodles have Non-shedding fur and don't bark much two HUGE benefits over something like a wolf or husky.

As for the mammoths, we learn by doing. Going to space was an exercise of ego, exploring the new world, taking flight, developing nuclear weapons...
Can someone explain for those of us who aren't as savvy?
> as I can usually catch my self before doing something too stupid

About me, I dunno. I can usually catch myself doing something stupid. But fixing it on the act often takes time from finding the stupidity hidden in the more complex corners (usually on how the software interacts with other things).

Nowadays, I tend to stop to fix visible issues if other people are going to interact with the software. But if not, I find it much more valuable to get a bad thing there fast, so all the problems become known.
It has been coming for a while. But I am looking forward to it. It is the only thing preventing me from using it.
There is never definite proof.

The difference between a hypothesis and a theory is that a hypothesis has no evidence to support it while a theory has at least some supporting evidence.

An important part of science is that, given enough evidence, any theory can be overturned in favor of a better theory. Scientific theoretical models are just "This currently fits demonstrated evidence of reality the best".

Some theories have mountains of evidence in support (evolution, gravity, the standard model, for example) that will necessarily need a huge amount of evidence to overturn. It is far more likely these theories will just be refined with further evidence rather than broken by new evidence.

Part of the scientific model is the built-in assumption that any model or theory is at least a little incorrect. They are fuzzy generalities that are constantly being refined to hopefully more closely match reality.
Over the years it has gotten simpler to have a certain level of production-value. This has a few effects:

- The reaction of many to something simple[1] becomes "oh it must be fly-by-night"

- It is more likely someone close to the project who can and will enjoy making something slick-looking

- B2B companies have had reasonably slick marketing for at least a decade, and there's always been a desire for many open projects to look like they can "play with the big boys"

1: https://motherfuckingwebsite.com/
We don't need centralization for this. Federated protocols like mastodon have friendlier APIs than some of the most popular walled gardens of today...