skysight-inc/HackerNews huggingface dataset:
I'm a strong disagree on multiple fronts:

1) This will be used to let deer with small racks die

This won't be used to collect wounded game--it will increase it. It will be used to verify the size of the rack. If the rack is too small, the deer will be left to die and a different one will be shot.

2) Quit being such a lousy shot.

Get closer. Learn to use your gun better. Hit the deer in the correct spot so that you don't contaminate the meat, dumbass. Idiots won't chase down shitty shots anyway.

And just so you know, I don't really care one iota about deer or deer poachers. I regard white tailed deer as four foot tall disease carrying vermin who should be exterminated to the last.

However, if you're going to kill an animal, it's your duty to kill it and not let it suffer.

3) Drones are a nuisance

Drones are loud as fuck and are going to scare the hell out of wildlife. Some of us like the woods because it's relatively quiet. The noise of a drone can carry a very long way in a place like PA.
Starting work on a product where I'll need RAG + some language model (maybe llama) and Kalosm seems interesting. However, I'd like to package the model with the app. I don't really like the new trend of on-demand downloading the model via a library in some random cache folder on the user's computer (which services like Huggingface have popularized).

Is there any non-hacky way of doing this?
> People say that your first reaction is the most honest, but I disagree. Your first reaction is usually outdated. Either it’s an answer you came up with long ago and now use instead of thinking, or it’s a knee-jerk emotional response to something in your past.

This is a very good point that's worth, uh, pointing out.

Being able to quickly reply is not necessarily a good thing. I've caught this in myself - making some witty response to a situation and then immediately realizing, "I haven't examined that opinion in years. I don't like it or believe it anymore. I wish I hadn't said that."

But without vocalizing that introspection, it may just appear that I'm witty and, depending on the listener, a bit of an asshole. Actually I'm less of an asshole than I used to be, but sometimes you're getting old data which hasn't been cleaned up yet.
Reputational decline at FAANGs often has little to do with the actual engineers. There are separate product managers / program managrs setting direction and separate UI / UX designers defining how products will look. Feedback from engineers is sometimes taken into account but, more often, will be met with "You don't get the vision" or "You're not the customer." expressed with varying degrees of politeness. The sensible response by engineers is to shrug, do what they're told, and start looking for an internal transfer before the SHTF.
HN has a long history of impartiality on ycombinator matters, so I don't think such accusations should be made without evidence of a pattern of it happening consistently.
It's true that marketing sort of ran away with it but it's important to note that the original idea was sound and didn't have to do with marketing hype. "Process shrinks" require many different industries to coordinate or else nothing can get done, and the ITRS roadmap was meant to be the mechanism to accomplish that coordination. What happened was that not long after it was introduced the actual feature sizes diverged from the names on the roadmap, but they decided to just keep using the roadmap names because the need for coordination didn't actually go away and, well, the names were right there, why bother changing them.

The end result seems crazy now but it's the result a set of decisions that were individually rational, not marketing-driven, at each step.
It's because since RAR is proprietary and didn't have a corporation friendly way to look inside those archives, so they couldn't be scanned.

For users, it was not an issue since they don't have to worry about licensing and whatnot.

WinRAR was also a fun target to write your very own crack for it. You could crack it multiple ways a well: remove the dialog and change texts, patch it to think it's licensed or write a keygen.
I'd be VERRY cautious about being excited here.

My priors are like this:

1. Initial training of a neural network moves all weights around a large amount at first.

2. Later training of the network adjusts them a small amount.

3. An undertrained network will therefore look a lot like figuring out "positive, negative, or 0?" for each node during early training.

If all these things are true, then

1. Early training of an fp16 network and a bitnet with 0 added will be roughly similar in results

2. Later training will yield different / worse results, as the network gets into the 'fine tuning' part of the training.

I think the paper's stats back these priors up -- they say "this works on (3B+) large networks, but not small ones." They then imply there's something about the structure of a large network that allows a bitnet to do well. It seems more likely to me it works on large networks because they have not put the compute into 3B+ networks to get past the 'gross tuning' phase.

The networks they have compute to put in to get them 'fully' trained -- those networks don't show the results.

Also, a quick reminder that Perplexity 12 is really terrible. You would not want to use such a network. Hopefully I'm wrong and we can get something for free here! But, I'm cautious - to - skeptical.
Lobbyists will always have influence. A tale as old as humanity. The question is, how transparent do you want it to be?
Show HN: Statichost.eu – privacy-first static site hosting
Excited to announce StaticHost.eu - a privacy-first static site hosting service! No logging whatsoever apart from usage metrics, and hosted on Hetzner who own and operate their own data centers.

Based on the git workflow where updates trigger a clone-build-deploy-publish. Other notable characteristics:

- Clones from any git repository, even a folder on an SSH box

- Can use any Docker image to perform the site generation (i.e. build)

The classic story of something I built for myself that eventually became a something more. Still not ready, but when is such a thing ever ready...

Feedback and questions extremely welcome! :)
Thanks for the diagnosis doc. What a bizarre comment.
How is it even controversial that women are more at risk walking alone at night? This is ridiculous.
Flagged? Wow.
participating in asynchronous communication
How much did LinkedIn (a wholly owned subsidiary of Microsoft) pay Microsoft to add a keyboard shortcut? Probably $0?
A hidden gem of WinRar is that the internal file viewer can open multi gigabit text files faster than many editors.
Doesn’t matter, they’ve already lost my business that netted them upwards of $500-1000 per year. Yes, I order that much from them as I work from home and they are closest.

An example needs to be set for this, where anyone who floats the idea is driven out of business. Dynamic surge pricing in the food industry will actually destroy society.
>IOW - These businesses are not awash in cash and profits.

$2 Billion is nothing to sneeze at. Not "we make 39 billion a quarter" good but how is this not a healthy business that is unable to compete on their own? Grocery isn't a fast changing iterative business like software, for example
this post was written in the year 2009

After reading this, it sounds like a great idea to store files using the SHA-1 for the directory.

I have no idea what this means however, all I know is that SHA-1 and MD5 are hashing algorithms. If I calculate the SHA-1 hash using this ruby script, and I change the file's content (which changes the hash), how do I know where the file is stored then?

My question is then, what are the basics of implementing a SHA-1/file-storage system?

If all of the files are changing content all the time, is there a better solution for storing them, or do you just have to keep updating the hash?

I'm just thinking about how to create a generic file storing system like GoogleDocs, Flickr, Youtube, DropBox, etc., something that you could reuse in different environments (such as storing PubMed journal articles or Cramster homework assignments and tests, or just images like on Flickr). I'd probably store them on Amazon EC2. Just some system so I can say "this is how I'll 99% of the time do file storing from now on", so I can stop thinking about building a solid/consistent way to store files and get onto some real problems.
I assume this:

https://en.m.wikipedia.org/wiki/Integration_Bee
Interesting. I was using my PC to view it and it was fast and beautiful.
People want faster charging and chargers that aren't broken.
I use Tree Style Tabs, yeah. This is how I like it configured, nice and tight: https://i.imgur.com/fWonbjC.png

To get it that way takes a bit of code in the advanced options, and tinkering with a user definition file in FF to remove the top tab bar, but it's worth it.

The other killer feature of FF for me is the ability to containerize domains and control how cross-domain containerization occurs (https://addons.mozilla.org/en-US/firefox/addon/containers-wi...). My interactions with google (for example) never leak out of my google container, so my search queries or browsing aren't explicitly linked to my google account, because I do that outside my google container. Want to watch a video on yt without it tanking your recommendations? Do it outside the google container.

Of course there are a lot of other ways for google to infer it's "me", so I don't know if this is pure security theater or it actually hinders them building my profile. Either way, it's nice to be able to explicitly determine when and where my google profile is built as I traverse the web.
There has to be some system to exchange crypto and real money.
One can be in process of making the most unfortunate or catastrophic decision or action, and their phone with adtech will only worry how to display them ad for a rope.
"It keeps the peace, in a dominating, intimidating sort of way."
How is this not lossy compression?
38 years. Programming is fun but if you can't solve it without a computer you're only going to make it worse by using a computer.
This is actually pretty awesome! I use KQL every few days for reading some logs from Azure App Insight. The syntax is pretty nice and you can make pretty complex stuff out of it. But that's it, I can't use KQL anywhere else outside Azure. With this, I can show off my KQL-fu to my teammates and surprise them with how fast you can write KQL-like syntax compared to SQL.
So?

I also don’t release very much of my code to the public.

Just looking at the merits though:

The article author is clearly a medium article programmer that bounces from one thing to the next to the next to the next depending on which medium article he happened to read most recently.

Theo demonstrates that I have to take what he says with a grain of salt, as he is unquestionably wrong to suggest that sql in the presentation is fine for anything but quick and dirties (I’d suggest that even quick and dirties is a dangerous proposition for sql in the presentation. Use Jupyter or something similar for quick and dirties).

Neither of these two are people I would ever find myself listening to.
Are these sorts of treatments available anywhere in Europe?
Of course they are not going to announce they are getting out of CPUs before their new business is fully in place!! Everyone would instantly stop buying Intel CPUs and their revenue would go to zero.

But make no mistake, Intel knows when to hold 'em and knows when to fold 'em. You heard it here first.
their strategy included the Wii U, to deny that is to deny reality.

I also wouldn't call the Wii U a failure. Not being as successful as previous consoles from Nintendo is not the same thing as being a failure. Nintendo profited from every sale.
Back in the 90s, about 20 friends and I did something roughly similar in a house. We sealed off all windows with aluminum foil, unscrewed every lightbulb, and covered every electronic display panel. The fridge was loaded with random sandwiches (actually random, since you couldn't read labels). One small room with an exterior door was turned into a light-lock so we could order pizza. The experiment lasted a whole weekend.

The activities were basically long discussions, music/audiobooks/plays (before siri/assistant, so physical CDs - again random), psychedelics, and making out with your friends. I can't say I achieved any deep insights, but 20-something me thought it was pretty fun.
Your comment is interesting to me. A few days ago someone asked why math classes don’t the how and why and rather tend to just present the formulas for the operations and tell people to compute. Here you are focusing on what the operations do rather than on why they work. It’s an interesting contrast and one that teachers of mathematics have to balance. The two questions,

How does it work?

Why does it work?

Can’t always both be answered well in a given course.
We have AI that can and has produced new mathematics. I don't understand what you think AI is. Machine learning enables computers to make decisions about things without explicit programing, and it is done by learning from data. It is a sort of intelligence, if not to the degree that we want (yet).
If that's a vector which you basically iterate, yes. However, thinking what I developed, I have offset or formula determined indexes I hit constantly, and not strictly in a loop. They might prove harder. I need to implement these and see what the compiler(s) do in these cases.

The code I have written is a 3D materials software which works in >(3000x3000) matrices, and I do a lot of tricks with these to what I get from them. However, since everything creating them are validated during their creation, nothing breaks and nothing requires checks. Because most of the data is read-only (and forced by const correctness throughout the code).
Oh! That was actually not intended to be dismissive of the buyers. It isn't my thing, as it happens, but I more mean that "even relative to other textile companies in China, Shein has a reputation for the lowest quality raw material/workmanship".

As you say, "people know what they are getting", and that's fine.
Why do you assume that real intelligence is not just heavily editorialized when it's in humans? In fact I'm pretty sure it is.

If you mean that neural networks are flawed things, not "perfect" intelligence like the Star Trek computer, then yeah, that's pretty obvious. Probably Star Trek assumed that perfect rule-based AIs, like IBM tried to build in the 1960s and 1970s were going to really work at some point, but keep having their "typical" fraud (such as getting totally stuck on a very regular basis for very dumb reasons)
> Is there a chance the track could bend?

What is the likelihood of a tire being able to grip a surface well enough to transfer that much energy to forward motion within that span of time?
There is a more detailed paper from Apple on this. Basically, you can do a little bit better than only keeping current weights in RAM with mmap.

For LLM, you are mostly dealing with b = W @ a where a and b are vectors, only W is the matrix. If a is sparse (i.e. have a few 0s), you don't need all the columns from W to do the matrix-vector multiplication. A cleverly arranged W can make sure during inference, only related columns loaded from flash. Further more, if you can apply "One Weird Trick" paper to this matrix-vector multiplication, you can shard W by rows, i.e. `b[i:i+n] = W[i:i+n,:] @ a[i:i+n] for i in range(N, N / b)` such that while the previous b[i:i+n] is still computing, you have visibility on which columns of the next matrix to be loaded already.
no its in the wrong court
History disagrees with you.
I'd like to buy some American-made 152mmm artillery shells for some friends.

It's art too.
Facebook invented React. React is a JavaScript library for building user interfaces.
What if you don't wanna use Legend State? What are other options you recommend for persisting state?
This is tragic but it's noteworthy because it is NOT the norm. Unlike, say, what's going on in Ukraine with frequent missile strikes into arbitrary civilian areas.

This is a serious failure of controls that warranted direct attention and the apology of the president. imo this is moreso evidence that the US takes its controls seriously rather than frivolously.
You can post this as a regular submission (without the Show HN prefix), Show HN is for things you've made other people can try and excludes (most) reading material - https://news.ycombinator.com/showhn.html
I'm on the lowest percentile of height, and I fear NO woman. I don't have big muscles, I just know there's a difference not only in raw strength, but in animosity and aggression during a fight.

You think small men are afraid at night of a large woman jumping at them? That's a joke.
Biden Issues Executive Order to Protect Americans' Sensitive Personal Data
Testcontainers can use docker-compose: https://java.testcontainers.org/modules/docker_compose/.

Really, you use testcontainers so that you can manage everything for your test with a single build command, instead of running something extra, then running your tests, then shutting down your docker containers. Plus, with it integrated into your test suites, you can run code against your docker containers on setup/teardown, before/after container start, before/after each test, etc.
I think that scales very much with the complexity of the task.

If you are talking about someone who cant server coffee, the balance is clearly in favor of poor management over inadequate skills and trainability.

If you are talking about very specialized skills like aerospace engineering, I think the balance can move further in the other direction.

There is also the combination of the two, where in the interests of growth or cost savings, an organization has cut corners on the quality of talent hired.
Largely because it was reported so widely and was obvious what had happened.

Where I live a listed church mysteriously burnt down the night after planning permission to turn it into a hotel was declined.

Oddly it's just sat there as a burnt out husk for the last 15 years, rather than the developer forcing the issue.
Up to 30% of Apple Vision Pro Returns Because Users Don't Get It, Analyst Says
To me, open source strongly implies an ability to usefully tinker & play with something yourself.

Some trained weights doesn't seem to qualify, to me.
The impact of spotlights on nocturnal life are also significant.
I use Firefox because:

- extensions to make the modern web usable, NoScript, ClearURLs, uBlock origin and so on

- vertical tabs (tab center reborn + css to hide tab bar) because I have a 21:9 screen and also on other 16:9 screens there is plenty of horizontal space, but too little vertical space and rotating screens makes them uncomfortable for various multimedia usages

- a little less owned by a big corp, so potentially a little less developed against their users interests...
The lawyer bit is fascinating.
I just learned a new term (https://en.wikipedia.org/wiki/Ecological_validity). Cool.

I know from UX studies that eye-tracking gives a completely different heat map than click-tracking on the same web page and task (because one's measuring how you scan a page and the other's measuring what you click on after scanning the page). This is previous experience that makes me super wary of click-tracking being used to measure scanning behaviour. To me it's akin to saying "we measured the color of the solution with a thermometer", it's just the wrong tool for the job. That's why I don't think it's a reasonable proxy.

I think "future studies can now be developed" is exactly what I'm hoping for.
FTX didn't have CZ assuring us that funds are safu.
Yes. MBAs think everyone else is retarded and they’re the people 100% responsible for every ounce of enshittification we deal with on a daily basis.

It’s to the point where, if you’re an MBA, I automatically think the world is better off without you in it.

Edit: And yes, that’s a call for MBAs to commit suicide. We’re literally all better off. Flag me if you want. Idc
Just like humans. Try to get regular people do e.g. add 15-16 digit numbers (where is typically where I'd see GPT4 start to get "sloppy" unless you prompt it the way you would a child who's learning and is still prone to get annoyed and wonder why the hell you make them to it manually), and see how many start making mistakes.

I find it really comical that this is what people complain about GPT over - there's zero benefit to get LLMs to get good at this over other tasks. To the extent we get it "for free" as a benefit of other learning, sure, but when we make kids practice this over and over again to drill doing it without getting sloppy, it has traditionally been out of some belief that it's important, but a computer will always have a "calculator" that is far more efficient than the LLM at its disposal and it's idiocy to care about whether it does that part well the tedious and hard way or knows how to describe the problem to a more efficient tool

I also find it comical that people use tasks where LLMs behaviour is if anything mot human-like, in its tendency to lose focus and start taking shortcuts (before GPT4 started writing Python instead, it'd for a while try really hard to not give you a step by step breakdown and instead clearly take shortcuts even you prompted it heavily to reason through it step by step), when presented with stupidly repetitive tasks as examples of how they're not good enough.
What's Your Resistance to Getting in the Middle of It?
let's use cells
> Apple shareholders on Wednesday rejected a measure asking the company to disclose more information about how it uses artificial intelligence in its business and its ethical guidelines for the technology.

> The proposal, which was defeated at the company's annual shareholder meeting, was put forth by the pension trust of the AFL-CIO, the largest American labor union federation, which has also proposed AI measures at other technology companies.

So thankful the AI experts at the pension trust of the AFL-CIO are making sure Apple keeps up with the latest developments in AI!
Ah, ok that makes more sense, especially because this would almost certainly trigger a whole lot of people logging in on every device they have to make sure it wasn't a device artifact, and maybe the APIs/systems were both affected by the same problem. My gut says an investment platform should have a more fault resistant messaging system, but I can't think of a reasonable fundamental security or stability threat they'd face without one, so maybe that money was better spent in other areas.

Edit: Entirely theoretical, but I wonder if there's a bank-run sort of threat for a financial institution getting communication about a system like this wrong enough.
That's important for new applications to emerge where this happens on lots of data. You can't run LLMs at scale on tasks like Google might (every webpage) when the cost of each document is so high to process. Interactive chatbots are just the tip.
As the OP, I had the same thought and conflict of interest assumption.

It has made me query the moderation as you could squint and class it as low-quality content, however, I feel (agnostic of being the OP) it's highly relevant news to the HN audience.
> Get in an actual argument

Emotions can cloud the ability to think too
Official release: https://www.whitehouse.gov/briefing-room/statements-releases...