skysight-inc/HackerNews huggingface dataset:
> extra boost because of the "that's what I used as a kid" factor

I've made this observation several times: the number of people who are buying these things who are young enough _to have never used them in the first place_ outnumber us dinousaurs who have used them by an order of magnitude or more.

I suspect it's just a matter of fashions like everything else.
My goal is not to get a job but to create a sort of listing that people can use to see how much the company they have applied to has been flagged over time.

In terms of successful interactions glassdoor and such do a much better job of keeping the positive feedback in place.

I also never attribute to malice that which is adequately explained by stupidity (or incompetence. That being said, I've seen more and more reports on nefarious reasons on why they do post jobs they never intend to fill out. I've seen job postings that have been open for years and people never hear back even with a rejection letter. Or even if they do get a rejection letter that says they've just hired somebody or closed the position, the job post is still up and reposted over and over.
Mostly. Howver if I am in New York and walk into Sam’s deli GDpR doesn’t apply.

If Sam were to target an EU citizen then it would.
Happy to be told the uk falls under the actual gdpr....do they (i thought after brexit, the uk wasn't covered...and they have their own version)?
It depends on the ToS they had at the time, when they started they explicitly had protections (privacy, data handling) only for US customers pointing to some local law, no details on how the data and samples from outside the us would have been handled. And that's why I never used they service. I think the GDPR road is well worth a try, good luck.
> Are there low-hanging features you miss from that page?

It doesn’t mention ‘formula’, and that is something that the original had in 1979 (http://www.bricklin.com/history/vcexecutable.htm)
It's amazing that solving death and aging is not Goal #1 of every rich and poor person on the planet. Death is coming for you and you're trying to get rich? Engaging in politics? Fighting? What's that gonna do when you're falling apart in real time?

We're all dying fast. Medical industry can't stop it either, they don't know how. Nobody does.

Yet nobody seems to notice. Nobody seems to care.
Not if the other party is a HIPAA covered entity and it’s in the context of healthcare.
That's absurd. I wonder why? Because they need it to make their family tree work? Does anybody know why?
What’s your motive for the false equivalence?

Mac Isaac was an American citizen who released the private contents of one of his customer’s computers to Rudy Giuliani who gave it to the New York Post where it was published by an anonymous staff writer.

This dossier was hacked and released by the Iranian government and published by Ken Klippenstein.

Isaac is the equivalent of the Iranian government since you are inexplicably straining to compare these two events.
…because it would be illegal for them not to keep it?

I wonder which law supposedly says this.
HIPAA is a joke in the first place. How to implement HIPAA compliance is entirely up to the company dealing with the data. There are no prescriptive standards to protect your data. Who isn’t HIPAA certified? It has to be the easiest thing to certify for from a technical perspective. Research teams run records through some NLP shit to depersonalize them, but we all already know it’s trivial to reverse engineer that data to its origin.
Similarly the bars / pubs of the north east of the US had a similar vibe until the late 90s . I remember 3 places Jersey City , Hoboken , Union City had tons of no screen places or just one screen . But nyc had tons by this point . Now not having 2 tv is the song of death.
Thanks, was just coming back to edit that in! Should’ve known HN would get it faster.

That does explain my negative reaction to the method — if I had to pick a single archenemy among the modern academies, Advertising would likely win top billing! I mean, I just now learned that it exists at all, which doesn’t help. I guess PhD’s in Manipulation wouldn’t look nearly as good on the mantle…
I think the issue is that at some point the heroin and gambling leads to desperate situations for the fools, the fools start mugging people and stealing your property, then you feel like a fool for letting them get into that situation when it feels preventable.
That's reductive, some of use are doing it to look good for the same sex!
Thank you! I am thinking of also making a chrome extension, if people are finding it useful to directly inject that stat next to the company name in LinkedIn jobs, wework remotely, and so on.
Here's a discussion of the freak wave generation and the experimental wave pool facility where the work was done:

https://youtu.be/HYK7KTwSfZw?t=1606
23andMe being a Google spin-off I wouldn't be surprised if they do a full sequencing regardless of whether you pay for it or not. At the very least I would expect them to store the samples indefinitely so they can do it once it's economically viable.
As is their right, given the terms.
Right now I'd prioritise compute over anything, because it allows for more experiments, and some of those experiments might turn out to be the key to better models (either specific applications or overall generalist models).

Meta did this with L3. They used L2 to pre-filter the training data, filtering out a lot of junk. They also used it to classify datasets. Then after pre-training (involving lots of compute) they also used almost exclusively synthetic data for fine-tuning (forgoing RLHF when it was surpassed). So yet more compute. The results are pretty good, L3, 3.1 and 3.2 are pretty high up there in terms of open access SotA.

oAI did this with their o1 models. They used lots of compute to have the models go over the space of generating tokens, analysing, correcting, and so on. They RLd the "reasoning traces" in a way. Lots of compute. The results seem to be pretty good, with impressive showings on "reasoning" tasks, math, code, and so on.

The thing is, they weren't the first ones to propose these techniques! What differentiates them is the available compute.

WizardML tried and were really successful with their RLAIF implementation (tho never released code afaik) about a year ago. And while they were connected to MS research, they probably didn't have as much compute available as Meta. But the WizardML fine-tunes on open models like Mistral and Mixtral were pretty much SotA when released, scoring way higher than the creator's own fine-tunes.

In the same vein, but at lower scales is the team behind DeepSeek. They used RL on math problems, in their DeepSeekMath-7bRL model, and that model was SotA at the time of release as well. It took a team of multiple really talented folks to fine-tune a better model (in the AIMO kaggle competition) and everyone except the 1st place used the RL model. The 1st place used the base model, with different fine-tuning. So again, the methods were tried, just at much lower scales.

Yeah, I think compute would be my bet in the short run.
He doesn’t speak to any particular split. The government forces the private sector to do pointless work as much or more.
It depends on your definition of smart. I think that holding a degree != smart.
Tight loops of SIMD operations seems like something that might be more convenient to just implement directly in assembly? So you don't need to babysit the compiler like this.
WordPress is secure enough that whitehouse.gov runs on it and zero-day vendors pay $100,000+ if you have an exploit for the core WordPress software. It's not "magically secure" though -- you wouldn't say that AWS is insecure because some people set it up wrong or use bad integrations.
I totally sympathize with the sentiment. But how long until people who are taking a moral stand against AI are simply obsoleted by the people who don’t? Today it’s easy to code effectively without relying on AI. But in 10 years will you simply be too slow? Same argument can be made with nearly any industry.
> "Plus, tech was not controlled by large corporations as it is now."

IBM would beg to differ. They were monopolists in a way that Microsoft and Google are only pale imitations of. "Nobody ever got fired for buying IBM" and the term FUD were coined to describe them. The entire x86 hardware ecosystem has its roots in IBM's dominance through the original IBM PC hardware architecture.

One aspect of why the '80s-'90s were interesting to the retro enthusiast because it was the era with the most diversity and competition in home computing. By 2000 or so, the IBM PC standard had steamrollered every other competitor, leaving only the Mac occupying a small niche.
https://en.wikipedia.org/wiki/SunVox
60s/70s computing was dominated by mainframes and dumb, remote terminals for them wasn't it? There's not much you can do on your own with that tech and I'm just guessing here, but its nowhere near as available anymore. Plus, of everyone I've met that has done programming with punch cards, nobody said they missed it.
This is why AI can in fact create things that haven’t yet been.
Fair enough, but for the sake of this conversation, if we say 'good' values are those that keep things from staying the same, aren't the values of smart people just as likely to evolve towards 'bad' ones? For example, I'm sure most people know at least one smart person who only plays video games; it does seem that we'll keep inventing forms of entertainment that wirehead people more and more effectively, which seems in line with the Brave New World scenario.
Others have answered why not later, but why not earlier is also a question. Earlier computers were a lot more work. CPUs weren't single chips, they were collections of dozens or hundreds of ICs. Before that they were thousands of individual transistors, Ben Eater has a Youtube series designing and building such a machine. Before that came vacuum tubes, in types which are no longer produced and aren't at all common to find working. Before that came electromechanical systems with machined cams, cogs, wheels, lots of relays, etc. So the earlier in computing capability you go the more expensive and difficult it gets.

Early 80s parts are a bit of a sweet spot combination of low price, enough challenge to be interesting but not so much as to be frustratingly difficult, and an interesting turning point in computing history as the first single-IC CPUs became popular.
yes, I’ve read that and many of his books. they all a bit similar and he reuses tons of similar quotes and ideas. but that is even better, he just tries to drive the same points.
What is "sound on"?
I’m not sure it really matters in practice at this point.

As a condition of getting a flu and covid vaccine, CVS made me agree to give them
permission to share my medical history, test results, etc. with my employer and their affiliates.
Also, why would they bother?

Maybe if you were a celebrity of some sort, maybe, but even then..
Around 2000-ish I was making music with a similar piece of software called Jeskola Buzz which is also a modular[1] tracker[2].

About 5 years ago I remember thinking it would be cool if I could use that type of UI again and it would be great if something like that existed that could run on my tablet. So I searched and I was amazed when I found SunVox. It's a very capable piece of software, highly recommended

[1] https://en.wikipedia.org/wiki/Modular_synthesizer

[2] https://en.wikipedia.org/wiki/Music_tracker
Show HN: a domain shortener tool
One of my children is a maths undergrad (UK) and all their texts are on-line too. He's in a minority in that he uses the library and borrows books. Many of his cohort don't.

On one hand, I remember how costly textbooks were and I'm glad he doesn't have that. But I still have some of my student textbooks and its interesting to flip through them and see old margin notes, and consider what has and hasn't changed over thirty years.
I don't think you can give one reason, because everything feeds everything else and then there's a network effect of sorts of popularity.

But one factor I think not mentioned yet is the film industry: I think (aside from feed-in popularity) the 80s gets outsized attention in TV & film because it's before modern technology was quite so prolific - plot lines that don't work with mobile phones, the web, etc.

And then that feeds people's interest too. Like, you can be born after WarGames or Ferris Bueller's Day Off for example, watch them, and then it's appealing because it's different and interesting, and you want more.
Couple of points I found interesting in the article -

> Also sometimes if I have two tables where I know I’ll never need to do a JOIN beteween them, I’ll just put them in separate databases so that I can connect to them independently.

Never thought of using SQLite like this. Will keep this in mind!

> I’ve tried to learn Rails a couple of times and I really want to love Rails – I’ve made a couple of toy websites in Rails and it’s always felt like a really magical experience. But ultimately when I come back to those projects I can’t remember how anything works and I just end up giving up. It feels easier to me to come back to my Go projects that are full of a lot of repetitive boilerplate, because at least I can read the code and figure out how it works.

Reflects my experience with Rails as well. In contrast to this when I build using Ruby (Roda, Sequel), I never have this problem.
They'll definitely do it. They promise.
I know many in those era are even aggressively opposed to the Bible, but I have long seen it as a kind of change log, commit notes, code notes, etc. …

“hi, ancient people here. We learned this lesson hard over many iterations that gambling is bad, we are making a rule that you, future reader shouldn’t gamble or it will also result in your societal debt and likely contribute to your destruction too if you take on too many of the things we learned over millennia and many different civilizations and societies collapsing; and we wrapped it in nice allegories for so it appeals to your innate human proclivity to dream, imagine, and tell stories. Don’t say we didn’t want you!”

Unfortunately it seems our Digital Age civilization is hell bent on emulating its Bronze Age and Tower of Babel compatriots the way we are going.
8-bit computers are fully comprehensible, they're something you can build on a breadboard from components with straightforward datasheets. They're a perfect learning tool.

I don't think future generations are going to be very interested in tinkering with a C64 or an Apple II, but the 6502 will live on for a very long time.
In the poorly-thought-out script of The Matrix, the people work as power plants.
Can you speak more to the “not caring at all” bit? I believe you, but how did you engage them? Did you end up publishing your work eventually?

forbetterscience seems like a good idea, but the writing style, the images, and even the about page gave me pause on if this is a reliable site for trustworthy science commentary
Removing just your data probably isn't enough?

Despite my curiosity, for privacy reasons I made the decision to not use 23andMe. (Basically - feels like information an insurer will inevitably want to use against me.) My wife did, however, and over the years our kids did too, for various reasons (an interest in genealogy, a kid with celiacs looking to trace the genetic component, etc).

Recently I was very surprised to look at the app on my wife's phone and see that they have a shadow account for me with a lot of details filled in, due to my wife/kids/siblings/cousins having used the service. I should not be suprised -- this is how they caught the golden state killer, after all.
I think anyone that has undertaken an art form of any sort knows that it is all down to practice. There's just different levels of dedication. Charlie Parker famously was thrown out of a jam session in Kansas City as a teenager by Jo Jones (who threw a cymbal at him), and decided to spend the next 3-4 years practicing 12-15 hours per day. There's a retreat called chilla [1] that some South Asian musicians do which is 40 days of isolation and intensive practice. I saw a video of Mike Tyson helping train a young boxer recently and at the beginning he says: "You know, it has nothing to do with styles or size. It's all about the moral of the fighter. How important is it to you? Is it more important than breathing? Is it more important than eating? It's up to the individual."

A great mentor is crucial too. I know for myself having my music teacher listen and force me to not move on from what I'm working on is necessary. Having my Muay Thai trainer throw down his pads and silently demonstrate what I need to embody is invaluable. My meditation teacher pointing out my misunderstandings. Etc.

[1] https://en.wikipedia.org/wiki/Chilla_katna

[2] https://www.youtube.com/watch?v=TmJJK7Ac4Fk&t=20s
Firstly - is it really true that this is the main focus? I see a bunch of interest in the beige box era PCs as well.

Assuming it's true, though, then I would imagine there are several contributing factors:

The 80s is when computing arrived for the masses - and most of those masses were children at the time; the first computer I owned was a ZX81 and I was 9 years old when I got it. That lends it powerful nostalgia value. For later generations computers were likely more part of the background.

That generation of people is also now entering their late 40s or 50s. They probably have some income (especially if they got into IT) and their outgoings are likely tailing off - if they have kids then those kids are leaving the nest or have already. So there's spare cash to spend on all the bits and pieces that they couldn't afford back when they owned them the first time!

It's all far enough in the past that you can see it through rosy spectacles. Ram Pack wobble, slow tape loading, limited memory and primitive graphics all become features instead of limitations.

Then for younger generations who are getting into this the above points mean that there's a background of somewhat knowledgeable people to propagate information about these machines.

Add on top of that the limited nature of the machines meaning that one can have a complete-ish (or illusion of such) understanding of the machines. That's always been appealing.

Personally I find the 1970s minicomputers far more fascinating! But my dad worked with some of those and I adore Unix culture so I'm probably atypical.
Paper includes a blender plugin. Very nice. To my non-professional eye, this looks like it works well enough for an indie game dev to give it a try. The method integrates with existing poly-based scenes, so the days of needing a digital hero model built by hand might be over soon. Now can you use a physical model, which is cool and fun.

The general idea here by the way is to take one unconstrained Gaussian pass, hold those gaussians aside, then take another that focuses on densification (they call it regularization), trying to hard constrain the gaussians to the more dense areas of detail. That second set is called the frosting, and it has the nice properties of being smoother; you don’t render with it, because it’s too smooth. But you do use it to build your meshes. Then they do some magic to key the OG gaussians off the regularized ones, which I didn’t understand.

Upshot, this is basically SOTA or close for most Gaussian techniques, definitely SOTA for editable Gaussian techniques in terms of render quality, and also pretty fast — training a model is something like 90 minutes on a V100. They mentioned in passing in the paper that you can use unconstrained mobile photos, and demo a few, but they didn’t talk a lot about the pipeline there. There are just starting to be high quality pipelines that can estimate scene setups without high grade camera information — I’ll be curious to look at the code and see what they do there.
Could you please confirm your company website? Is it the one in your email address? This is what I found: https://www.pinntechllc.com/
This is turning out to be a really bad Christmas gift.
Turn on GC after the first sbrk
Sounds familiar. :)
I misinterpret 23andme results and believe I have a horrific genetic condition. I then delete my data, commit suicide, and my family sues the company.

I’m not saying this is what they are worried about, but it could be something along those lines. I work in big finance, and there is a LOT of regulation around data retention, and it’s a lot more nuanced than people think.

Should we be allowed to delete the data? Absolutely. This will likely be a hallmark case setting president for the future.
I wonder what it would be like to live in a Martian settlement controlled by Musk.
It is possible your doctor doesn’t fully understand concerns here. Or maybe he does and doesn’t give a shit. If it is the first case, maybe there is some hope - we can try and educate them doctors.

I don’t know how to accomplish this, but we need to educate as many people as we can about privacy
The best brain exercise I have found is trying to learn another language with anki.

As an old man, it is so hard it feels like a form of brain powerlifting.

I really wish I had anki when I was younger. 30 minutes a day of cards on a tough subject and 30 minutes a day of cardio is probably something everyone should do for life.
Such a job would not be at the data center. And existing data cleanup jobs are off-shored to cheaper labor, there's no indication that would change.
Sure, but so can pure randomness, for the same reason. It is creative in the literal sense, but not in the ineffable sense that humans tend to describe in humans.
You see it all the time in videos, where they demand you not view with sound off. Every time I see it I can only think "No, I don't think I will. Get absolutely fucked."
Sorry, I meant the frequency of the transfers, not that of some synchronization signal, so 8000 or 8500 MT/s, as you say.

However that should have been obvious, because there will be no LPDDR5x of 16000 MT/s. That throughput might be reached in the future, but a different memory standard will be needed, perhaps a derivative of the MRDIMMs that are beginning to be used in servers (with multiplexed ranks).

MHz and MT/s is really the same unit. What differs is the quantity that is measured, e.g. the frequency of oscillations and the frequency of transfers. I do not agree with the method of giving multiple names to a unit of measurement in order to suggest what kind of quantity has been measured. The number of different quantities that can be measured with the same unit is very large. If the method of giving multiple unit names had been applied consistently, there would have been a huge number of unit names. I believe that the right way is to use a unique unit name, but to always specify separately what kind of quantity had been measured, because having only a numeric value and the unit is never sufficient information, without having also which quantity has been measured.
3 brands who specialize in branding and I've never heard of any of them.
Query Expansion + Natural Language API = Google’s New Recipe for RAG
This! Most of my creativity in private projects stems from having build a broad space of knowledge/experiences. Having tinkered with a lot of different disconnected things really helps me find interesting bits to combine in a new and creative way that I never had imagined before :)
Because it’s what a significant number of current developers grew up with. It’s also the first time we saw computers represented in movies etc.

In the future I bet we will see a wave of nostalgia around Windows XP (in fact we’re already seeing it)
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