skysight-inc/HackerNews huggingface dataset:
>Aliases you can discard are ad blockers for emails, disposable services are for bots, scams, and fraud.

What is the difference between the two though?

This kind of reasoning is why people can't run their own email servers anymore and instead have to rely on the big services.

>If you know the space, you'll be aware CAPTCHAs are trivially defeated today, regardless of the provider.

They are a lot more reliable than an email which is basically just a domain that anyone can buy and setup within mere minutes giving them access to endless email addresses.

>you generally need some sort of unique relatively hard to get many of identifier

Why not use phone numbers instead if the issue is truly important to them?
This would cost spammers and bots way more money than emails.

Perhaps it's due to the fact that they won't be able to use the phone number to send their spam (or they could I guess, but it would cost them some money).
I think the miscommunication is due to the proxy nature of our modeling. From one perspective, yes you're right because it's just on your optimization function and objectives. But if we're in the context where we recognize the practical usage of our model replies on it being an inexact representation (proxy) then certainly there is too much optimization. I mean most of what we try to model in ML is intractable.

In fact, that entire notion of early stopping is due to this. We use a validation set as a pseudo test set to inject information into our optimization products without leaking information from the test set (why you shouldn't choose parameters based on test results. That is spoilage. Doesn't matter if it's status quo, it's spoilage)

But we also need to consider that a lack of divergence between train/val does not mean there isn't overfittng. Divergence implies overfittng but the inverse statement is not true. I state this because it's both relevant here and an extremely common mistake.
> Don't discount the knowledge you have from being deep into an industry.

True...but especially when it comes to investing - the market can stay irrational longer than you can stay solvent.
So much of what we have today is due in some part to what ATT created. I'd say they're very much an example of what people imagine when they think of a well run company. Anti trust concerns aside, what they created was incredibly reliable, at a time when few would have blamed it if it hadn't been. Old switching stations would take up entire buildings, when by the 80s and 90s it could be reduced to a single rack or less. The microwave tower system had requirements to have multiple backup generators available in case of power loss, and had to be built to withstand a blast (some distance away).

And of course bell labs created a number of incredibly important technologies. This isn't as easy as just throwing money at the wall, someone had to be in charge of talent selection and what projects to invest in, but when you review what they were able to accomplish, it can really make you wonder what other labs were/are doing.

>Between 1960 and 1973, NASA spent almost $26 billion on the Apollo Program ($311 billion in 2024 dollars), over 2% of U.S. GDP. Over that same period, AT&T spent almost $70 billion building new telephone infrastructure

What a crazy statistic to pull, and the chart in the article also adds to it.
> So, being dogmatic about "the host should not have any tools installed" is good and all

Less dogma, more the lived experience that letting people log into hosts ends badly. Though I grant there's a cost/benefit both ways and perhaps there could be edge cases.

> but how do you debug this scenario without tools on the host?

Cordon the node, evict any one pod to free up just enough room, and then schedule your debug pod with a toleration so it ignores the error condition? I confess I've never had to do this but it seems workable.
obviously not the point of the article but I really appreciate Unreal's visual programming flow.

I think an underrated idea from visual programming is that futzing around with linear files to try and connect a bunch of stuff together is not that fun in an event-based system. Stuff like Scratch unlock the right idea, that code structure is important at a micro level, but at a macro level it's... kind of busy-work, and it's hard to offer good structure in a way that's discoverable.

My main complaint with Unreal blueprints, though, is that sometimes you really do just want to write a bunch of code in a linear sequence. Give me a little textbox to just pop into within my diagram!
The woes of supporting an "I don't want to leave any crumbs" threat model. There are countless of pro-privacy projects who call themselves that simply because their service can be used to increase privacy, but they do not actually do much to protect privacy beyond that. Many even use Google Analytics.

For B, simply support both. This site is popular enough for there to be no risk sharing: Guerrilla Mail.
Common Filesystem Tasks in C++20
Most such services are blacklisted, or very soon to be blacklisted. You can use Gmails and rotate them, and use "." "+" "number" tricks though, but typically, use Gmails is the way to do.
As someone who works for games, I think the biggest problem of node-based systems is... they're all different (in terms of UI/UX).

Unreal blueprints, Substance Designer, Houdini, Blender's geometry node, Unity shader nodes... they all look different and act differently. Different shortcuts and gestures. Different window/panel management.

Different programming languages have different syntax rules and libraries, of course. But at least they're all manipulated with one single interface, which is your editor. If you use vim binding, you don't need to worry about "what pressing K does". It moves the cursor down for all the languages.

People who spent X hours customizing their vim/emacs will benefit from them no matter what language they use next. I spent a lot of time customizing my Houdini keybindings and scripts, and this effort will be thrown out the window if I later switch to Blender.
I tried working on something like this for unit tests. This inspires me to get back to it.

My idea is to make a game out of every source code file. When you win the game, you will have 100% coverage.
Also the embossed numbers are not that common in countries outside the US. For quite a while the numbers themselves are also disappearing from the front. (If you even use the physical card rather than your phone)
Don't Americans working in Saudi Arabia generally live in a large, separate compound, where they don't have to mingle with Saudi society and don't have to follow normal Saudi laws (like the dress code for women)? That's probably a little different from living in an embassy, which is just a single building.
Password protect web services in Kubernetes (k3s/traefik) with basic auth
> One reason is because we think that other, more inexperienced, programmers might have an easier time with visual programming. If only code wasn't as scary! If only it was visual!

Reminds me of the Mythical Non-Roboticist: https://generalrobots.substack.com/p/the-mythical-non-roboti...
I'm pretty sure the world doesn't use it more because it doesn't have a flashy marketing campaign and trendy developer tools/libraries don't have a plugin for it. If a whole bunch of developers aren't writing blog posts about it, does it even exist? Plus, it's old, so it's bad.
Not needing to worry about otherwise annoying details is the point of being rich.
AnarSec – Tech Guides for Anarchists
There you go then. I guess they don’t care.
Exercise for flat-earthers: how does the GPS mapping on your phone work, without satellites orbiting a spherical Earth? Show your work.
I think the real trick is to not hire twitter engineers.
The licensing was changed about nine months ago. LGPL-3.0+ is out and MPL 2.0 is in. Very thankful for that.
When I had some customers working with it a few years ago, they were trying to roll out a visual diff tool that would make source control possible.

I don't know if they ever really delivered anything or not. That system is such an abomination it drove me nuts dealing with it, and dealing with scientists who honestly believed it was the future of software engineering and all the rest of us were idiots for using C++.

The VIs are really nice, when you're connecting them up to a piece of measurement hardware to collect data the system makes sense for that. Anything further and it's utter garbage.
> People use them to create throw-away accounts

A separate use case is when there's a free download that's email-gated, rather than account-gated. Examples would be Gumroad, certain 3D print platforms and such. I'd rather not wind up having my email just be added to some marketing list.
There was a guy in NZ (Bruce Simpson) who detailed on his blog how to make a DIY cruise missile. I think he got politely asked to stop doing so at some point.
Life's too short to give a real email address to any random web site that requires registration. One reason is privacy, as they will inevitably sell one's data to a thousand data brokers. Second reason is to avoid having to deal with all the spam, that will again inevitably come. Even if unsubscribed from everything, we've change our policy emails and other nonsense will keep wasting one's time.
Yep, Git's semantics are seriously lacking (see also renames). In Reviewable, we work around this with heuristics: we use Change-Id if it happens to be available, and otherwise do best-effort loose lexical matching on the commit messages to match up pairs across a rebase. It works reasonably well in practice but it's a bunch of complex code that I'd rather not have to maintain...
I agree with you how-ever the elephant in the room is a image or topology doesn't predicate anything (A predicate is seen as a property that a subject has or is characterized by). That is the main delineation between them, and why SPO (subject predicate object) is used universality by all modern languages - abet some have different svo ordering but I digress.

The next major draw-back with visual programming is they don't explicitly convey time. You have to infer it via lines or sequence of diagram blocks. Were in a programming language you have sequential order of execution eg. left to right, top to down of of the program flow and stage change. If you attempt to achieve the same with a stateless event driven bus or message queue, you end up having to embed the sequential control flow into the event payload itself.
Dark matter is constrained by, among other things, dynamical simulations. For instance, here's an example of reproducing real world observations, that previously didn't have great explanations, using simulations with dark matter: https://www.youtube.com/live/8rok8E_tz8k?si=Q7vmQYpZr_6K7--m. And that's not even getting into the cosmology that has to (and mostly does) fit together.
Autonomous Weapons Enter the Battlefield
Sting in the tail:-

"A recent meta-analysis found that the average intelligence of university students and university graduates has dropped to the average of the general population. The college degree is losing its signaling power not only for the labor market, but for assortative mating, too."
You need a pattern that only you recognise/understand, not just remember. It takes only one leak of your password from service FooBar that looks like "f....b" to know what to try on other sites. Patterns easy to remember are mostly easy to understand.
The lesson is to look for what’s missing and hidden.
Those returns depend on when you invest. The inflation adjusted annualized return of the S&P 500 was negative from January 2000 to January 2013 at -0.25%. The inflation adjusted total annual return from January 2000 to January 2024 was 4.5%.

https://ofdollarsanddata.com/sp500-calculator/
This recent article: “A small studio made a game based on a Stanislaw Lem's novel”

https://news.ycombinator.com/item?id=40921398

Had me thinking about Lem, and wanting to revisit Solaris. It has been decades since I last saw it.
Thanks for providing a valuable service to the Internet community and good luck :)
Schematics don't scale well at all - net labels and multiple sheets demonstrate this.

HDLs rule for gate and transistor level circuit design. I don't know what major PCB houses do but I'd be horrified to discover that 16-layer boards still have a visually built schematic producing their netlist: just finding the right pad on 256BGA components would be awful, let alone finding what else is connected to that net.
>A big problem with mega-business style capitalism is that key stakeholders like employees and the general public are powerless. You can only change a business's behavior if you're either 1. shareholders or 2. customers via boycott or 3. regulators.

Ultimately, the failure here is with the general public, for continuing to patronize these crappy businesses, and make them profitable despite whatever negative things they're doing (like decreasing quality to increase profits). Of course, if it's a monopoly situation we can probably give the public some credit since they don't have many choices, but here we're talking about restaurants, and there's almost never a shortage of restaurants to go to.
a society that takes care of its people
Take a look at your network requests though, there isn't a single third-party script running on the site.

I understand what you mean, but it has to apply to the use-case.
If the service I was running was to support journalists, then I would agree with you, but taking these measures would help promote spam as users would be able to get around the rate-limiting that I've set.
> For the Occam razor, adding some random term to an equation is not really better than adding some invisible but well characterized stuff...

You're being too kind. It's worse. Especially when (in my understanding anyway) that added term doesn't even explain all the things dark matter does.
TO be fair, these are shoot from the hip responses. I'm not as quick thinking as I used to be. I'm sure I could have some better examples if you give me a day or two. I don't really work on the time of internet comment sections all the time.

I think the angle you have is one of assuming I am advocating that "things used to be better!". I am not, I am saying it is possible to pick parts of the past that worked, figure out a way past the unintended issues of today and combine them into something better. This is essentially the entire idea of the Solar Punk movement.

Also I wasn't talking about the work hours 200 years ago, more like 1,000 years ago. Typical work days were about 4 hours a day in most societies. There are stories from France about 500 years ago about just how much spare time people used to have, it was kind of wild. Boring yes, but it was also because you can only grow so much food. The issue is that that kind of economy that is outside of the monetary system cannot be charted and graded accurately. There are lot so people in southern India that on paper are incredibly poor but in reality are very self reliant.

And yes I have read large parts of various IPCC reports. No, we are not going extinct. I didn't say anything about extinction. But a sizable fall is still a big wallop to industrial civilization even if it isn't a fatal blow. While folks may not be directly planning 7 generations, things were more stable from an environmental sense that many could assume things like food supply (on average) would be fine. The big issues then were much more political.
https://theconversation.com/baseload-power-is-a-myth-even-in...

https://www.ceem.unsw.edu.au/sites/default/files/uploads/pub...

https://energypost.eu/dispelling-nuclear-baseload-myth-nothi...
Most practitioners seem to understand that what they are doing is creating executable models and they don't confuse the model based on numeric observations with the actual reality. This is why I very much do not like all the AI hype and how statistical models were rebranded as artificial "intelligence" because the people who are not aware of what the words mean get very confused and start thinking they are nothing more than computers executing algorithms to fit numerical data to some unspecified cognitive model.
Roughly a third of convicts sent to Australia were Irish, a good number political (Fennians), in the 1891 census the Irish made up about 27 percent of the immigrants from the British Isles. Scotland accounted for roughly 12 percent.

Together the Scots-Irish block in pre 1900 Australia was comparable to that in colonial America circa Indpendance - some US States had a greater weighting than others.

The two countries were intertwined: https://en.wikipedia.org/wiki/Catalpa_rescue
> This would all be normal, par for the course on Instagram, were it not also for the underlying eerie truth: None of the women in these videos are the ones speaking. They're stock models, aesthetic B-Roll.

From my very quick peruse of the article, it's not even the person in the pictures/videos behind the account - it's just curated, good looking content. Which when typed is nothing new, this time it's without a face. It's being rich and famous without being rich. Also, YouTube has similar "aspiration/manifestation" videos - just a different wrapper. I mean, this is just an aesthetic/vibe/curation. I guess, people don't like that some people get paid (big) bucks for it? Tastemakers have always been a thing
Kind of; the human eye shifts to adjust for the quantity of light. The ambient lighting in the environment also matters too; both for cameras and eyes. Perception matters.

http://camera-wiki.org/wiki/White_balance

https://en.wikipedia.org/wiki/Color_balance
To properly run gitlab with large codebase you must have a dedicated devops team to maintain extensive set of webhooks and other linked services. Even in top-tier enterprise edition.
> It's normal in the tech industry to own a lot of stock in the company you work for.

For certain companies, but misleading: Most of that is stock which their employer structured into compensation, and sometimes they only kinda-maybe-potentially own it because it's an unvested RSU or un-exercised stock-option etc.

That's not the same as taking your paycheck and then choosing to spend part of it on shares from the open market.
1. Sources:

- Steam suggestions based on what I've liked in the past.

- Subreddits like gamingsuggestions to find games similar to X, or by genre.

- Gameplay footage from YT channels like gameranx that publish top 10 lists.

2. I crave:

- good stories: Assassin's Creed 2, Battlefield 3, Prince of Persia trilogy

- Satisfying gameplay: DMC4, Prototype, Resident Evil 4 (2005), Tomb Raider 2013

- Impressive visuals and fantasy worlds: Witcher 3, Elden Ring

3. Finding new games is easy. Everyone and their dog have a must-play list. Finding games that you'd enjoy is frustrating. Reddit comments have proven to be the most misleading, even disingenuous. They'd write paragraphs praising Tetris's deep lore and high-fidelity graphics.

For this reason, my shortlisting process roughly looks like this:

- Accumulate suggestions over the long term from steam, reddit, YouTube, etc .

- Create your own wishlist, distribute it in tiers - GOTY winners and nominees, AAA, top steam ratings, sequels of games you've enjoyed in the past, etc.

- order games in each tier based on what factors you desire the most - graphics, gameplay, lore, time to beat. You may move certain games to higher tier based on your bias.

- Every time you hear another suggestion for game X, move it one position higher (within the tier).

I'd love to see a public backlog DB, howlongtobeat.com is a good one. But I'm also convinced it's a highly subjective and personal process, so I count as a customer who doesn't know what they want (in case you're looking to build something around this).

4. Recent favorites:

- Deus Ex: Mankind Divided - The 101 trailer was enough to convince me [1]. Also, its prequel Human Revolution was a favorite back in 2012 (got it from a friend).

- God of War 3: again, wanted closure for so long. 1 and 2 were favorites back then, source: friend.

- Death Stranding: received it for free on Epic. Had heard about it a lot, the relase date was recent, and the trailer was intriguing. Also, Kojima.

[1] https://youtu.be/Sh_65yx-sc8?si=B6uoQ7akYRHHMI4B
I have my own SMTP server that I use for all purposes. I have set up a separate address for each person/service that I use email with. If I receive spam or other unwanted messages, then it is easy to delete that email address, which will cause the SMTP server to return an error message to any client that tries to send messages to that address.
There are two "cultures" of mathematics in my particular area of interest, namely computational mathematics.

I spent an intense year of study reading several hundred papers crossing both cultures.

One culture (my "original home culture") is generally referred to as "computer algebra". Here algorithms are
developed and favored because they "mostly work".

The second culture generally falls under "proof assistance". Here various logic theories are developed
and then implemented to support developing proofs as approved by the chosen logic.

Of the several hundred papers the only name I can find that crosses both cultures, based on bibliographies
from the papers, is James Davenport, a rather clever English chap.
https://en.wikipedia.org/wiki/James_H._Davenport

I'm wasting my time trying to straddle this gap, striving for a combination I refer to as computational
mathematics. The struggle is that the computer algebra culture, being ad-hoc, does not have a way to create
proofs of algorithms. The proof assistant culture, being theory-based, does not, in my experience, even
permit the discussion of proving algorithms.

These two cultures have 25-plus years of parallel development with nearly disjoint biblographies.
This seems to align well with Gower's two cultures theory.
What's brutal though?
The master chose not to accept the fruits of community labor he didn't personally contribute towards.
Contrast that with a society in which aggregating the surplus labor of the community to persons that didn't contribute is celebrated and rewarded.
Which is the brutal philosophy?
A lot of these environments inherit a visual presentation style (ladder logic) that comes from the pre-computer era, and that works extremely well for electrical schematics when conveying asynchronous conditional behaviors to anyone, even people without much of a math background. There's a lot of more advanced functions these days that you write in plain C code in a hierarchical block, mostly for things like motor control.
Huh interesting. I always thought he was a military retired Colonel and as such already pretty rich before he started the franchise. I had no idea it was also a Honorary title in America.
One report I heard said that someone (security?) went up to the roof to confront the shooter before he made his shots. The shooter pointed his rifle at this person who then backed down for cover. This might explain why the snipers got a fix on him so quickly.

One ex-USMC commentator on Bloomberg said that the shot wouldn’t have been very difficult at that range. As to why he missed, maybe the shooter had to rush his shots since he was spotted. Maybe he was just a bad shot. It was explained that he wasn’t accepted into his high school shooting team.

This is what I remember hearing while doom-browsing YouTube, so take with a grain of salt.
>Broccoli is perfectly fine boiled. It's just that it takes literally 2 minutes to get brilliant green and slightly crunchy broccoli, while some home cooks put it on for 20 minutes.

Yep, it wasn't until long after I had moved out of home that I figured out broccoli can actually be pretty tasty, and not nasty slop, for exactly this reason.