skysight-inc/HackerNews huggingface dataset:
> wanted to get ahead of things before things took a downward trend

I see.

> just compare to the reddit posts on this subject

Oh i believe you. I would like to spare my own sanity. :)

> it's full of people mocking it and calling out people for being "deceived"

Oh. That is sad. If there is anyone this debacle reflects badly on that is SpaceX. And not because of the delays, that is entirely normal. But because i believe with better client communications they could have kept the dearmoon person in the loop. Either they haven’t set the right expectations with him initially, or they have lost his trust along the way. Which is not cool.

It also reflects badly on Yusaku Maezawa. He was either naive (if he thought there won’t be a delay), or fickle (if he understood that there might be a delay and had a change of heart). But ultimately his job is to get the finances and then sit in a can. So it reflects badly on him much much less, maybe none at all.

On the other “astronauts” like Tim, i see no blame. I see how what happened must feel soul crushing. Even if they believed in the trip only a little bit they must feel as if they have been robbed of an opportunity. Trully sad. I hope they will find the way to handle this and be able to go forward with their projects.
Having a technical editor is key (like companies in this article), and not editing too much. I’m non-technical and have edited drafts of engineering blog posts too much and lost favor with engineers who contribute.

Once I restored that favor, I would have lost it again if I told contributors, hey, we’re going to share your draft with a bunch of your mates (like companies in this article). That’s groupthink and it brings any blogging momentum to a standstill.
Currently the linked URL 302-redirects to '/'. @dang, consider replacing with:

https://web.archive.org/web/20240531140540/https://www.hudso...
" "fake news" typically amounts to false rumors, amplifying unprovable/unsubstantiated claims. "

Like the Steele dossier or the rumor of a pee-pee tape [1].

Look, Id love to silence Rachel Maddow as much as the next guy, but there is no objective function to reliably do that without also silencing inconvenient truths (Mai Lei massacre, fake WMD, Biden's corruption, etc).

[1] That's when I knew power was out to get Trump by any means. Journos seriously reporting that a hotelier is unaware that top hotels are riddled with bugs? Bullshit.
"The dose makes the poison"
And Pandas was inspired by J per a quote in an article I once read about Wes McKinney, but I cant seem to find it online any longer.
No thanks. Everything should be installed via the operating system package manager.
To be clear, my comment stated RDS is better "in almost every aspect." Aurora is better at one [0] thing – storage scaling. You do not have to think about it, period. Adding more data? You get more storage. Cleaned out a lot of cruft? The storage scales back down.

Aurora splits out the compute and storage layers; that's its secret sauce. At an extremely basic level, this is no different from, for example, using a Ceph block device as your DB's volume. However, AWS has also rewritten the DB storage code (both MySQL/InnoDB and Postgres). InnoDB has a doublewrite buffer, redo log, and undo log. Postgres has a WAL. Aurora replaces all of this [1] with something they call a hot log. Writes enter an in-memory queue, and are then durably committed to the hot log, before other asynchronous actions take place. Once 4/6 storage nodes (which are split across 3 AZs) have ACK'd hot log commit, the write is considered persisted. This is all well and good, but now you've added additional inter-process latency and network latency to the performance overhead.

Additionally, the storage scaling I mentioned brings with it its own performance implications. If you're doing a lot of writes, you'll encounter periodic performance hits as the Aurora engine allocates new chunks of storage.

Finally, even for reads, I do not believe their stated benchmarks. I say this because I have done my own testing with both MySQL and Postgres, and in every case, RDS matched or beat (usually the latter) Aurora's performance. These tests were fairly rigorous, with carefully tuned instances, identical workloads, realistic schema and queries, etc. For cases where pages have to be read from disk, I understand the reason – the additional network latency of the Aurora storage engine seems to be higher than that of EBS. I do not understand why a fully-cached read should take longer, though.

As a further test, I threw in my quite ancient Dell servers (circa 2012) for the same tests. The DB backing disk was on NVMe over Ceph via Mellanox, so theoretical speeds _should_ be somewhat similar to EBS, albeit of course with less latency since everything is in a single rack. My ancient hardware blew Aurora out of the water every single time, and beat or matched RDS (using the latest Intel instance type) almost every time.

[0]: Arguably, it's also better at globally distributed DB clusters with loose consistency requirements, because it supports write forwarding. A read replica in ap-southeast-1 can accept writes from apps running there, forward them to the primary in us-east-1, and your app can operate as though the write has been durably committed even though the packets haven't even finished making it across the ocean yet. If and only if your app can deal with this loosened consistency, you can dramatically improve performance for distant regions.

[1]: https://d1.awsstatic.com/events/reinvent/2019/REPEAT_Amazon_...
"The solution can't be personal responsibility. But also the solution is personal responsibility."

It's something I keep coming back to, and I'm really not sure how to resolve it.
An Exploration of Portuguese Wines
One thing about these red meat studies is that they do not discern those who are on a carnivore diet (no plants - no alcohol, no sugar, no grains, etc) and those who have red meat as part of a mixed diet.

Having been on a carnivore diet for a while, and seeing many medical problems resolve that had not resolved with many medical interventions by doctors, it would be great to see more studies take a look at this.
My point - We don’t like the tradeoffs or consequences. Usually relating to our entirely man made economic system.

What? Arrest Co2 increase in the atmosphere
It’s possible that the screenshot is just so good at grabbing attention that it cancels out the downweight, too. It’s hard to know anything when the algorithm is a black box.

Your previews are very good, by the way. Much better than anything you’d see from a default expando. I’ll try the same.
> it means you need to accept that you don't control people.

This is absolutely the correct take, but also an idea that is unconscionable to the majority of people in government and other institutions involved in setting policies today.
The Data Protection API makes this quite easy from a programming standpoint (it also makes relocating keys to another machine hard, but in this case this should count as another upside): https://en.wikipedia.org/wiki/Data_Protection_API
The number of certain VR sites and their traffic is exploding, but the number of successful VR games is not.
> People are allowed to think and share things that make you angry. If your views aren't mainstream, there's a reason for that.

China has entered the chat. Obviously HN is a western focused site, but it always fascinates me when people just assume Western ideas of freedom are just a solved problem.

Those freedoms, historically speaking, are very much not just a thing we should all expect will continue in perpetuity. So statements like “your ideas lost” sound a bit childish from a global perspective. Do I hope freedom of speech continues to prevail? Absolutely. Is it just the inevitable conclusion you suggest? Not at all.
Thinking about problems and data manipulation in the way array languages enable is hard but, once you have pushed through the what feels like a barrier of mainstream programming language thinking that is stopping you from “grokking” it, it is a sudden moment of clarity and then you “get it”.

Perhaps a half way house is sql. The difference between ORM-style CRUD and a power user using window functions to make the data dance shows there is still art to be had in programming :)
Fully managed so I can spend my time on actually building features. In my case, AWS is my go to cloud, and even with a couple of thousand users, Lambda for compute, DynamoDB for database and SNS+SQS for eventing is costing me less than 5€ per month. Yes, there are risks with serverless if you get DDOSed or whatever, but it’s a risk I’m fine with, and can mitigate with gateways in front if necessary. And Lambdas are not locking me in to AWS since I’m running “full” ASP.Net apps in them, so hosting them on actual compute platforms is an easy switch.
But nginx also supports FastCGI, and you need to run the FastCGI server as a separate process (like php-fpm), right?

I don't see how caddy (without stuff like frankenphp) is any closer to a complete single binary reverse-proxy AND language runtime than nginx.
From personal experience with regex, yes the first encounter was shocking, and sure I got past it and now can easily write regexes. But they still aren't more readable than the alternatives. Nor would I encourage their use in production.
Well that's a lot more hard info than I was hoping for, thanks for taking the time!
I'd sign that if I would ever finish the projects I start
It's funny because this article will be forgotten but it will be so wrong soon that the author will not want to be reminded. Classic case of Kruggerman thinking.
> It feels like journalism often gets two scare stories

Journalism, for all the good things it has done and can do, is at the end of the day just another means to attract eyeballs to sell ads to.
Your body isn’t really digesting plants. It’s getting what nutritional value it can out of it and then pooping the rest out. Mostly it becomes fiber, which is good for you, but it is not going to provide real value like meat does. Meat is the key to a healthy diet.
> a sign that a programmer hasn't worked on anything substantial

Maybe you want to check who he is?
The environment is very interactive. It also helps when you can fit do much more on screen, quite possibly the entire program.
I don't know about people's predictions, but there is a visible shift in the job market.
There are a few articles of using J or APL for ANNs and CNNs out there. Here's one:

https://arxiv.org/pdf/1912.05234
Tribeca to Screen AI-Generated Short Films Created by OpenAI's Sora
That's just a requirement for the SEC filing. If it has interrupted business operation, it needs to be specified. Think if a hospital or a manufacturer has a breach.
This post by Bunnie really warmed me up to China's IP culture:

https://www.bunniestudios.com/blog/2014/from-gongkai-to-open...

Basically, they have a much more loose attitude towards IP. This means that you might not be able to make ALL THE MONEY when you invent something (or, when one of your underpaid employees invents something), but society as a whole benefits.

The system balances itself, as if you make it too unprofitable to invent things, then nobody will do it, but it stops this avalanche effect where only massive companies can make money because they have disproportionately many resources to spend on both R&D and IP defense.
A lot (not all) of the things in their showcase are using a normal font, so you can have a look: https://wiredjs.com/showcase
Thanks for the article. Very informative.
Why is securing Terraform state files hard?
Terraform stands out as one of the most reliable Infrastructure as Code (IaC) tools to provision and manage cloud resources: write a few lines in a Terraform configuration file and spin up cloud services in minutes in any cloud provider.

But this ease-of-use also brings security challenges: a leak of your Terraform state files could reveal sensitive information, bring your infrastructure down, and ultimately hurt your reputation as a company. All it takes is an overworked colleague, and a single bad git commit.

You need to care. Let me know what you think
https://onboardbase.com/blog/terraform/
Key points:

- LLM-type AI is becoming a commodity. Everybody's systems seem to be converging on a roughly equal level of performance. This includes the open source systems. So this isn't a high-margin business. They compare electric cars, where there are lots of manufacturers and prices are dropping. That's what success of a technology looks like.

- The economics may not work for ad-supported LLMs as part of search engines. It may cost more to deliver an answer than can be collected in ad revenue. That's a problem for Google and Microsoft. (The cost problem can probably be mitigated by recognizing simple queries and answering them with cheap searches.)

- The AI pure plays are overvalued.
Like the Steele Dossier?

Or that Hunter's laptop outlining his old man's corruption was fake?

What do you think are lies that should be censored and how quick are you to identify them?
the shadow of the smaller and smaller peaks seems to also touch/trace thinner and thinner lines, these lines seem very different compared to the actual animal depictions in other Nazca lines. Could these lines be explained by diffrent rates of photosynthesis / occasional vegetation debsity variations selectively protecting the soil from erosion?

One nature demarcates curves, humans and animals will adapt to them in their choice of path.
> There was no political will to prosecute the Clintons, because the entire point of White Water and the subsequent Lewinsky investigations was to damage the Clintons politically. Mission accomplished.

Yeah, just like now, the goal is to damage Trump politically. That's exactly what people mean when they say the prosecution is politically motivated.
> I've read the bZ4X is mostly about giving people a bad first experience with EUVs

Why would one of the largest car companies in the world purposely create an inferior product when their competitors are already making successful EUVs? That would just make them look incompetent. More likely that old companies have a harder time changing their core competencies?
An interpreter for BLC, including tokenizing, parsing, and evaluation, can be written in as few as 29 bytes of BLC (and 650 bytes of C).
Array languages are very fast for code that fits sensibly into arrays and databases spend a lot of compute time getting correctness right. 100x faster than postgres on arbitrary data sounds unlikely-to-impossible but on specific problems might be doable.
Obviously political appointees are going to be unreliable, I was more talking about the hordes of plebs on social media.
You make an important point that is fortunately becoming common knowledge: interactive use of LLMs requires a domain expert who evaluates results to verify and modify as appropriate. I am an old man so this may not be typical: I feel like I get more coding and research done using GitHub CoPilot and integrated search products like Perplexity, but I get tired more quickly because I feel like I am working harder.

Perhaps a less known truth: it is difficult building applications that use LLMs in complex ways without a human in the inner loop.
In this case, the curse of dimensionality is working in our favor, as the volume of an n-dimensional simplex also grows exponentially, so it is perfectly suited to hold the exponential state space of the mixed-state presentation.

Updating from one mixed-state to another just involves updating for each pure state in the mixture and then mixing the resulting states together, so everything is neatly linear.

One way to represent the training data would be to have one state per token position that emits the corresponding token and advances to the next position, or to a randomly sampled other document if there's no next position. That matches the way LLMs are actually trained, but of course typical transformers have a much smaller residual stream dimension than the number of training tokens, so it needs to conflate some states, and synchronizing with the training data is also not what we want models to do, otherwise we would be using infini-gram https://arxiv.org/abs/2401.17377 to regurgitate exact matches.
I think the author’s choice of function to demonstrate purity made this harder to grok as a reader. Asking the reader to “…exclude the I/O interactions…” when considering functional purity makes the analogy much harder to follow.

My interpretation of the thesis of that paragraph is that localized mutation does not violate referential transparency, but getting there required some gracious reading. By the end of the section, we’re given an _example_ of an effectfully pure function, but no standalone definition.

Based on that, I agree that this is a weak point in the overall piece.
Who would think that? Extra earned resources never goes into improving security, why would it be different with Ticketmaster? Live Nation Entertainment / Live Nation, owner of Ticketmaster, is a public for-profit company, 100% of their focus will be on "more money now", and security doesn't contribute to that so of course they wouldn't focus on that.
https://archive.ph/TcY1N
RAG with PDFs and NPM for JavaScript Developers
Today we are asking:

Why the productivity growth from the internet was so low?

As Robert Solow said “you can see the computer age everywhere but in the productivity statistics.”

The productivity gains from the internet have been surprisingly small or negligible so far. There was initial surge in productivity growth from 1996-2000, then productivity growth fell back to pre-internet levels.
A programming language should not be parsed and neither lexed on the filesystem layer. This is what REPL or interpreters are for.

Counter question: would you have all C++ macros from libboost as symlinks on the filesystem, too? How would that work? /usr/bin/C++/[ and /usr/bin/bash/[ maybe? What's the difference of the operator behaviors, given that macros exist?

If you're not understanding where I am getting at: these types of hacks were the reason for a lot of fuckups and a lot of CVEs in the past. Directly or indirectly. I'd even encourage every distro to use busybox at this point, just for having a centralized entrypoint for your shell scripts.
Multi-Tenant Authorization with Zenstack
Look, I get just being blindly outraged at a hack and the hate that Ticketmaster seems to generate, but the company wrote this for the regulators and shareholders as much as anything.

They have a legal duty to report hacks and report if it will have any affect on their business. And this is what they are doing here. Being outraged because a company does what they are legally obliged to do just makes you angry for no reason.

They'll address the hack to customers no doubt, in a separate email/communication.

At no point did they say the 600M people "can kindly go and fuck themselves" and contorting things to try and get there will just make you angry. If you want to blindly feel anger, you're welcome to, but the company did what they should here.
World of Tanks fans build wild IRL tank team setup with CO2 cannon
You are a primate ape. Literally. I'm not sure what is so hard about this, the parent poster referred to a set (primate ape) that includes both humans and many other apes. If they are not part of that set then it would surprise me.
Walking app let me whack my co-workers with a baseball bat
Doesn't this depend heavily on the plant? Lots of vegetarians seem to be able to put together a perfectly balanced diet with no meat whatsoever. (Seems like rice and beans are the key here. Mushrooms are also quite tasty, depending on whether your definition of "plant" extends to fungi.)
One of my favorite books is

https://www.amazon.com/Crime-America-Cambridge-Studies-Crimi...

as it points out the limitations of the social sciences and generally why people don’t find science satisfying, particularly looking at it scientifically as opposed to “here is a paper I can use as a weapon to justify my dogma”.

In that book, researchers analyze just about every theory of the crime drop and got inconclusive results. The one exception was a chapter which was not quantitative at all but rather spun the story the black people in NYC switched from cocaine and heroin to passing around a blunt, sipping from 40s, and having a chill time.
This genre of research is disturbing to me. Researchers found accounts spreading ideas they didn’t like, tracked down their real world identities, and then recommended ways of silencing them. Please consider the implications of this activity, especially (inevitably) when it’s used to target communities we’re a part of.
The key sentence most are probably looking for is:

> The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.

However, the article (and the study) are absolutely worth a read. Another main take-away is:

> I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices?
You know we have the government emails vis a vis the lab leak?
But VVV is aimed at developers; the OP describes a different use case, in which he also eloquently explains my dilemma, and that I'm sure of many others: we want to write for our blog, not develop our blog. I am very interested in his project going forward...
It's not nonsense and you're not addressing the main point: overuse.

A glass of wine is harmless. A bottle of hard spirit will poison and potentially kill you.

Your body can nullify small amounts of alcohol. But if you drink more toxin than what your body can neutralize it poisons you.

Sugar and carbs rise glucose level in your blood. When it's small amount your blood will re-distribute it to cells as fuel.

But if you eat enough sugar and carbs that your body cannot absorb all the glucose, you become fat and develop diabetes.

So yeah, sugar is fuel and tastes good but in modern food products it's used everywhere which makes moderate use very hard to achieve.

That's why 99 million of Americans are overweight, 70 million are obese.

29 million have diagnosed diabetes, 10 million estimated undiagnosed diabetes and 115 million pre-diabetes.
Meh, you can get all you need from a vegetarian diet, it's been prove over and over and over again

The real question if you want to stay healthy is what meat and in what quantities.

300gr of fresh ground beef every other day from the local bio farmer isn't the same as ultra processed bear shaped ham* at every meal.

* https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRkM8VO...
There’s obviously a use case referencing something like this article. It would be nice to see some kind of officiating this particular use case of protecting your property, perhaps you could register your tag, pay a fee and deposit / signing a waiver to prevent the stalking use case. It would also be nice to see police go after missing items which have been officially tagged.
But I’m also not a huge fan of big brother in general. So maybe forget about it
Napping reduces sleep pressure, making it more difficult to fall asleep at bedtime.
Docker on a DigitalOcean VPS. I've never been a fan of managed stuff, but then again I'm mostly coding for fun, not because it's the best use of my time.
That should be put to the attention of the author of the article above, then (on Ars Technica).
Getting what nutritional value it can and pooping out the rest is just literally what eating is.
We know social media is used to manipulate people. If you want unbiased news, look at AP, not Meta or Twitter.
Defining substantial as written by a team over a long period of time seems to be putting the value in the wrong place. Is the important thing what the software does, or that it took a lot of people a long time to write it?
Alzheimer's is related to insulin resistance? The article presents this as consensus opinion but is it really?
Or you manager changes.