skysight-inc/HackerNews huggingface dataset:
>I don’t think the problem is making people think before posting...

I disagree. I'm probably in a minority here, but I browse HN by 'Newest' [0] as I tend to dip into the site for a few minutes, a couple of times a day and so 'new' content is more important to me than popular content.

Unfortunately, browsing the site this way really makes the noise to signal ratio stand out. If there's a biggish tech news story, it's not unusual to see it appear a dozen or more times in the first couple of pages, when the site is viewed this way. It's one of my pet hates --a lot more so than the subjective 'quality' of a post. I really wish there was some penalty for posting a submission that has already been posted. So maybe having to 'Pay [in karma] to Post' would help with this?

Slightly off-topic. But my other bug-bear at the moment is the annoying number of people submitting links to Tweets, as submissions. I mean, it's a common refrain on here 'This is not Reddit!' when someone is being childish or frivolous but, fuck's sake, you can't get more childish or frivolous than posting a link to a bloody tweet! I make it a matter of course to flag every submission I see, with a Twitter link --just stop it, already!

I also wish there was something like the excellent 'Google Hit Hider by Domain' Greasemonkey script [1] for HN, so that I could permanently block certain junk domains from ever showing up when I browse the site.

If anyone out there fancies a Javascript project to tinker with, you could do a lot worse than trying to build something like that!

[0] https://news.ycombinator.com/newest

[1] https://www.jeffersonscher.com/gm/google-hit-hider/
I’ve tried a dedicated IP from sendgrid as well, but our sending volumes were way too low even for transactional mails. It would have taken months of sending fake emails to warm the address up.
If you want to do something less buzzwordy with lots of real-life applications, look into distributed systems. Try running an Apache big data project yourself and write some programs/queries for it, try making a change to the project to do something cool. My suggestion to check out an Apache big data project is just that it gives you a good place to learn, not so you can be a "hadoop specialist" or anything like that.

There is way more real world usage of the distributed systems concepts and skills you'd learn there (especially in large tech companies) than any other flavor of the month. While ML is also commonly used in the industry, the signal:noise is really bad, because a lot of its uses are superfluous buzzword-driven development. However, many many companies rely on distributed systems to be able to operate at scale.
We get McDonalds delivered all the time. We don’t have a car.
It depends. They both do different things and have different uses. A great rule to follow is Grid of layout, Flexbox for content.
That's an interesting point, thanks. Please pardon some ignorant questioning.

How far down does this apply? E.g., do amino acids come basically for free in the same way? If not, what's the bootstrapping process like, and how random is it? How many steps do you have to take from self replication to functional cells? That chemical reactions are quite deterministic makes sense to me, but I don't quite understand how one gets from chemistry to biology.
>You just use a switch with 2 outputs: for on, and off position. Triggering 2 at the same time is impossible.

But then the switch will still bounce except now it bounces with an extra state and you need extra logic to read an extra output per switch and debounce both outputs, which also makes PCB's more complex further increasing the cost.

>Surely less than a percentage of a cent in extra cost.

With the extra PCB and custom logic complexity you just added with the extra output per switch, you're looking at way more than that, which I guess is why the industry went optical instead of following your idea.
I've never understood what I'm supposed to do with things like this or mypy when--as is usually the case--I'm making heavy use of other libraries that don't have type annotations. The examples and tutorials I've seen always show the code importing standard-library modules and nothing else.
SEVERANCE AGREEMENT
===================

"THIS SEVERANCE AGREEMENT (the "Agreement”) is entered into on this _______, 2022

by and between __[YOUR LEGAL NAME]__, government ID __________,

address _____________ (the “Receiving Party”), and _________ Inc

having its registered office at ________________________ (the “Disclosing Party”).

I have of my own free accord elected to undergo the procedure known as Severance.

I give consent to severe my memories between my work life and my personal life.

I acknowledge that once the procedure is complete,

I'll be unable to access my personal memories whilst at the severed floor.

Nor will I retain work memories when I return home at the end of the day.

I make these statements freely.

Signature: _________________
Date: _________________

--

[1] https://www.youtube.com/watch?v=xEQP4VVuyrY
Right, AI is just custom software, with people in the back to deal with edge cases?
> This example is bad because few companies have fixed potential like earning $200M in nominal dollars. More companies will be able to earn $200M (real year-0 dollars).

This suggestion only tilts the argument into my favor.

Apple makes 190 million iphones/year or so. In an inflationary environment, Apple will still make 190 million iphones and probably still sell them all.

Those 190 million iPhones will cost 7% more to make, but also sell at 7% higher prices. So we see that Apples expected profits will rise by 7% or whatever inflation is.

But the factory loans that Apple bought 5 or 10 years ago are in 2010 dollars and will remain so. We can see that inflation helps established companies regardless.

-------

It is the growth companies who don't own factories yet, who are raising money today that get hurt by inflation.
I'm a layman when it comes to all this. But isn't it true that, when investors think about projected earnings, they are often implicitly thinking in terms of projected value? So when we say that "Growth" company will make $200 million/year in 10 years, isn't that statement already calibrated in terms of how valuable we think $200 million is today? I would expect that any business strategist worth their salt would account for inflation in their projections. If anything, it's the variation in inflation that seems like the risk factor. That could also be accounted for, but only to some degree of confidence.
It really does. I wonder if these SSH applications can be linked and used like web applications where it's delivered to the end-user over the network with terminal + SSH being used as a browser. The only problem for these applications (and Charmbracelet) would be that there isn't much audience that could use these.
Why doesn't it seem right? The ponzi derives its value solely from new entrants paying older entrants' withdrawals.

The smart contract itself has zero value because non-crypto alternatives are cheaper and actually enforceable.
Yes, eLILO was made for this purpose. I still prefer it to GRUB, though EFISTUB is an option as well for those who don't want or need either, as long as your particular UEFI supports it.
Exploring your second point a bit more: if it were five billion lives rather than five lives being saved, most people's intuition would be that regrettably it's necessary to murder the one patient. Our intuition about this thought experiment transitions from deontology to consequentialism as the magnitude of the utility impact increases. There's something unarticulated about the murder that seems worse than five natural deaths, but not worse than five billion natural deaths.

Maybe it's the fact that the act would have a major negative effect on the surgeon, or that admitting a justification for murder other than self-defense could open the door to abuse causing widespread harm. Ie, maybe our intuition is basically utilitarian but is constrained by rights and rules to protect against risks that are hard to quantify.
Just tackle it by doing 30-60 minutes a day of self study. After a year you'll rack up hundreds of hours of studying.

Keep that up for 10 years and you're at thousands of hours of studying.

Plus all the experience on the job. That'll compound for sure.
By looking at the policies implemented by her adherents.
> those numbers show a very inconvenient truth

Could you be plain about the point you’re making here?
Sounds great, let me know
How the gut differentiates artificial sweeteners from sugars in mice
I think it’s much more political than that. Every other country also watches action movies and plays Call of Duty.
I am sorry, but I do not see the point in the article - Qt apps (whose development is unrelated to KDEs, and historically even slightly conflicting) might get ads, but it is not like KDE has stated any intention to do so, right?

This is mere, very wild speculation meant to drive clicks.
No one knows for sure. A popular view is:

1) the drop starts because the fed starts to withdraw liquidity...

2) the market will trade sideways while the fed unwinds its balance sheet...

3) Once the market drops sufficiently far (30%+), or a recession is induced, the fed will blink and inject liquidity again ...

4) Causing the next wave of growth.
I did this at the end of last year, exported all my data from medium, ran medium-2-md, cleaned up a few posts and was away.

I now use Pelican with GitHub Pages and any new posts are generated from a single org file. It’s a really frictionless workflow.

You can even have medium import your new posts with a link back to your own site and if you want your site to look like medium, medius is a nice theme but needed a little tweaking to get it working with the latest pelican version.

All in all a fairly painless migration.
MicroStack – OpenStack in a Snap
Section 3.2: the 10%+ of already-deleted accounts were removed. You can often actually infer why an account was removed, but they didn't.

Furthermore, it is questionable to me to know 10% were already confirmed removed and then state the reproducers found all of the remaining were great.

If I went deeper, I bet even more issues. As is, this is already enough to remove any word like "all" and various weasel word phrasings.

---

Ad-hominem shouldn't matter. But:

Professionally, I work with top gov agencies, top 3 cloud providers, F500s, startups, misinfo teams, etc. to provide pluggable core tech for their core graph intelligence pipelines (Graphistry), such as for sigint tasks. Botnets, hackers, account take overs, account abuse, etc - threat hunting, threat research, AML teams, digital human trafficking. As a #data4good effort, we help non-profits & researchers on the same things, such as via our free tier & some of our own hands-on help. We're just a tiny startup, but helped with massive international takedowns, flagged one of the Jan 6 indictees back in December (that FB and friends didn't take down util after more pressure), regularly help folks publish breaking news, etc.

Before, I was a well-cited academic (Test of Time award, Best of Years, etc), and work spanned early R&D for engineering tools your colleagues likely use today, and empirical & social research stuff for being able to judge work like this. Which I am, harshly. It looked like an easy win of a paper if they were dilligent, but ended up needlessly weasely.

---

I agree with you on the tools weaknesses and big companies ignoring researchers, but for different reasons than researchers being wrong.

The Twitter response is stock corporate CYA, so I don't take that at face value.

Instead, consistent with what I've written, tools like botometer are largely irrelevant to modern practitioners here because reasons like:

- Abuse teams at free social platforms are at battle with themselves and their surrounding organization & CEOs. The Facebook whistleblower accounts may particularly resonate well with you on why being factually right/wrong has little to do with what platforms do.

- Botometer is dumb. Twitter went as far as acquiring the startup of one of the top GNN researchers: In contrast, botometer is from the dinosaur era.

- Botometer is data-starved. Data is thin (no IPs, ...) and at low volumes (capped APIs). When you have APIs, app use logs, etc., same as someone self-hosting even the tiniest and most boring online store, you can do much better informed analyses. It's like a crypto app fraud & compliance team who only looks at blockchain data to decide good bad account/transaction, and ignores all the app log data & threat intel data.
This is great! As someone who immediately recognized it as 'mater lectionis' I wondered how someone unfamiliar with this aspect of Hebrew would attempt to solve the puzzle.
for me personally as an applicant, I won’t care that much as long as you don’t waste my time giving me interviews that won’t get me nowhere because I’m a male…. just reject my application and we are good.
That seems like a pretty worthwhile project, actually. Thanks for sharing that
Isn't the main risk here not acquiring new production experience and so reducing your chances for finding the next gig? As in "adding new buzzwords to your resume" basically.

When they ask you in three years about how you have spent the time. If you convert XML requests to JSON messages for a living and not even with Spark.
It's all about incentives.

Joining the hypetrain is a great way to get a bigger budget to play with.

AI chatbots are all about saving money and hiding the real customer service as much as possible, it's not about creating a nice experience.
The problem I see is in the question itself.

1. "reading a lot", don't read for the sake of reading or learning for the sake of learning. Choose what you find interesting and read that.

2. "feeling of not memorizing". Read slower, know what it is that you're learning. Try to internalize every little 'oh' and 'ah' moment. Read critically thinking along the edges, wondering if it does or doesn't apply to similar cases. Think them through and decide if you feel it should or shouldn't apply. Learning is not about remembering. It should be about connecting new information to information you already know. Take the time to find and make those connections as you're reading. It's not likely that this will happen on its own--perhaps if you read the same material before and after a related experience, but that can't be planned.
.......... isn't the Model Y AWD? Why isn't regen braking performed on the front wheels where having more brake force makes sense?
i intend it as both, and i’m aware of that fact.

you call it “power play”, i call it “having an API for my libraries”; potato, potato.
In the absence of a stable government backed currency it seems cryptocurrency could have some value. However, cryptocurrency is also unstable. You are speculating that holding crypto will be better over some period of time than any alternative value store you can access. That may well be true, but seems like that depends on what other options you have access to and would require more rigorous analysis of the tradeoffs. For example, if you were to say “crypto is a better currency than eggs” [1], that seems likely, but eggs don’t require internet access and specialized knowledge of a particular technology.

[1] https://www.economist.com/finance-and-economics/2018/07/19/w...
Thanks, even if anecdotal it is a really good point. The US military is something that highly differentiate them from almost if not all other developed countries.

That's one of the best answers I got this far from under my comment, you're lead running for my totally worthless medal :)
Both sides of that argument agree that the right to redistribute is fundamental to FLOSS.

Microsoft is defining their product, which you can't redistribute[0], as "Open Source".

[0] https://github.com/microsoft/azuredatastudio/blob/4012f26976...
It's impossible to see what arguments a function expects without reading all the code that uses it.

You can't always trust documentation to be accurate and up to date.
Incentivising karma farming in any way would be a Bad Idea, I think. Getting karma is easy, just find a recent post on a recurring topic and echo the dominant opinion from last time.
Well yeah, in themselves cards don’t have the S, but even their most basic basic usage of separating wrongly answered ones from the rest and repeating those again adds it back to a degree.

There are also versions where you put successfully repeated cards into the next category, repeating them 2/4/8… days until it “matures”.
IBM, Oracle, Panatir....in a lot of cases these are pro services companies that custom build whatever is needed. LOTS of money in enterprise application development.
Does your civilized legal system also force the inevitable loser to front your legal fees while the case is ongoing? Or is it possible the plaintiff with deeper pockets can just stretch things out until the legal system has bled you dry and you must withdraw?
The problem is that everyone wants to “simulate” reality. I’m not interested in that. No one wants to go to a virtual mall. They want to be somewhere unique. A game. A story. Something… else.
It’s relative. Karma has zero value to me, so it doesn’t factor at all in my decision to comment. It wouldn’t factor in my decision to post should I felt led to do so either.

I use a feed reader to read HN so I see all content without regards to its ranking on site as well, basically I get it pretty much in a when post created timeline. I prefer it that way, I don’t need my interests curated by others. I find that there are too many interesting things to read that would get buried.
I am trying to be more positive in general, take everything with a grain of salt, I also work for a Big Cloud provider.

I read that as we work really hard to engineer crystalline fault lines vertically through our stack so the system has a nice clean single plane of fracture.

Given their track record of reliability and the unsubstantiated claims in the article, I can't even. In the real world, all the actions that have absolutely saved a system was an occurrence of fallback.

Having branch free code, one way to fail is nice from a reasoning perspective, and reasoning was more than one of the points brought up in the article. But reasoning is a goal that is different than reliability. I can use a reliable automatic transmission without reasoning about it.

Fallback fixes issues that failover doesn't. Rather put out a piece that encourages someone to not do something (sometimes this is important granted), encouraging folks to use immutability would be a larger global positive.

Immutability really does change everything.

https://cacm.acm.org/magazines/2016/1/195722-immutability-ch...
Can't wait for they to go the way of Posterous.
I don't understand the difference between "idealized" and "real" organ harvesting. Unless "idealized" just means "ignoring all the actual hard questions involved".

In any case, your claim that I responded to was that "most, if not all, of these problems can be done away with" by adopting logarithmic instead of linear utility. You haven't said anything about how logarithmic utility "does away with" the problem of deciding whether organ harvesting is ethical. Or about any other of the scenarios in the article except the cookie one. So it looks to me like you are backing off from your original claim.
When Netflix first started out, it was an aggregator of movies

This dates you favorably. Readers who were fully-formed adults when
Netflix started out remember it as a clever hack around video rental
stores.
> However, without knowing those breakdowns, taking any action to correct those breakdowns is wrong. We can’t accurately say there is a problem.

You’re arguing a different point. I’m talking about the filter on candidates, not eventual hires. Though of course, people who don’t become candidates will never become hires so there’s a relationship there.

It would be easy to see whether doing X to increase candidate diversity (opening up the filter) led to more diverse hires. Especially combined with blind hiring process or whatever at the individual level. But the individual work alone is not worth much if the candidate pool itself is too limited.

If changing the candidate pool leads to more diverse candidates, and then employees as a whole end up more diverse, it would follow that some of those people brought in at the candidate level out-competed their peers & that the overall standard of hires has increased, or at least is no different.

This is not about a target ratio of employed people. Though I think observations about such ratios compared to the general population and to other similar companies can be informative.

To get at the point you thought I was making though… How I feel about quotas is: they might be an ok temporary measure, especially if managed gently, not “must be a woman” for X role, cause yikes. Hiring is capricious a lot of the time anyway, especially at the margin when there is more than one acceptable candidate and all have different backgrounds and experience. All sorts of stuff will come into play. Good people will still be in demand regardless of their race. But if you lose a couple things because you aren’t from an underrepresented group and another acceptable candidate was, who actually cares. If it wasn’t that, it would be some other nonsense like the guy was the same race as you but supports the same football team as the interviewer, or your interview took place before lunch and the other person’s was after.

Since it’s already capricious and full of coin flips, I don’t care at all that sometimes it’s capricious for a relatively good reason like giving somebody else a shot. Fine.

I disagree completely that we have to be 100% certain about a problem before we take action. We just have to know that, more likely than not, there is a problem, and take measured, cautious steps to address it. To me it would be an extraordinary, mind-boggling, coincidence if it turned out that the status quo was working perfectly to get the best candidates hired.
now only to somehow buy a Raspberry Pi 3 or 4
Note the paper advocates two separate policies (the second even less likely to happen than the first due to lack of political will) - taxing the global richest; spending it on the global poorest.
Printing money isn't terribly relevant to this proposal since most of the global poor do not live in countries that can print US $.
For a command line library, this site is really fun and well put together.
"don't like it? just build your own X" isn't a solution, it's a sneering dismissal: let them eat cake.

we need regulation. force companies to provide a minimum standard of repairability.
Go errors are not stringly typed. You can assert that the error itself, or any error it wraps, is it a particular type through errors.Is and As.

If your past experience involved people comparing error.Error() strings I’m sorry. That’s awful and I can see why that would be a nightmare
Yeah, the whole culture there (and other places like Oracle) is all about implanting mindshare at the decision-maker level and driving unilateral adoption from the top down. Pursuing such an approach is highly revealing because if the technology actually worked, that approach would not be necessary.

Once they’re “in” at the decision-maker level, they can continue to milk the organisation with long-duration support and consulting contracts, feeding parasitically and gradually becoming more and more entangled.

One spectacular example, 7M budget but in actuality, 1.2B down the drain and nothing to show for it https://blog.beyondsoftware.com/the-queensland-health-payrol...
High-speed JITs are complicated and the CPython code base is meant to be kept simple. If you want JITted Python use PyPy (or JAX which is a JIT for tensor computation).
Thirty gunshots is about the same amount that the whole Finnish police discharge in one year countrywide. And those police gunshots are investigated individually as for whether each shot was deemed legal.
Thanks - I'll also look at this.