skysight-inc/HackerNews huggingface dataset:
That's a long arc with a barely addressed tail end.

I read somewhere within the past few months an entertaining take on how Goth culture of Bauhaus and the 80s has little to do with Hot Topic mall rat goth of the 90's and even less with recent naughties Goths of Tik-Tok .. less and less substance, more and more appearence.

In the Venn diagram of Goth|not-Goth there's more than a few lucky trifecta's, eg: https://www.youtube.com/watch?v=xpCyNQ80JoE
Of course the drug ads are marketed to you, so you go and get a prescription from your doctor.

Likewise, everybody and their dog has ChatGPT installed and think of AI as this magical thing that's gonna change the world, so they are potential indirect customers.
I was a kid in 2004 but it's astonishing to me that this guy developed rails on presumably Windows. By choice. Was Linux bad back then? Nowadays every software tool is linux-x86 first.
Or that the court case would end up costing that much, or that staying in the news because of the court case would end up costing that much. There's plenty of costs besides just what the actual judgement might end up being.
> So which is it ? Are they above or below replacement levels?

Is is now or is it later? We're dealing with statistics that change over time.

An idea that depends on certain areas having "fertility well above replacement levels," like using immigration to compensate for demographic decline, falls apart when the fertility in those areas drops.

I'll live to see global fertility at sub-replacement levels at current trends: https://www.macrotrends.net/global-metrics/countries/WLD/wor....

Then there's the additional problem of do the numbers even add up for that idea to work in the short to medium term. There are a lot of very large places with sub-replacement or near-replacement fertility right now: Europe, China, India, Russia, etc.

And there are even more problems! Everything above is a one-dimensional analysis, which assumes bodies can be moved around frictionlessly to do labor, and the only question is "do you have enough?". IMHO that still points to immigration not being a solution for fertility problems, but add more dimensions, and I think the idea becomes even more unworkable.

>> How does the government track anything?

> While I get where you are aiming at this didn’t work in China...

What didn't work in China?

The US government already reliably tracks births and parentage, and that would only get more reliable if there was a new financial incentive that it be accurate. That's pretty much all that's needed for my idea. Tracking a "certain number of good-faith attempts" at fertility treatments for fairness could be covered by similar processes to those already used by health insurance.
Apple’s recent approach to implementing the EU's Digital Markets Act (DMA) reflects a troubling trend of compliance theater rather than genuine reform. While the EU's regulations are designed to foster competition and user choice, Apple's strategy seems to hinge on the bare minimum required to meet regulatory demands, rather than embracing the spirit of the law.

The article from FSFE highlights that Apple's implementation, particularly in how it handles sideloading and alternative app stores, appears to prioritize maintaining its dominant market position rather than genuinely facilitating a more open digital ecosystem. By creating a complex and restrictive framework for third-party app distribution, Apple risks undermining the very objectives the DMA seeks to achieve: enhancing market competition and offering consumers more freedom.

This approach not only seems to stifle innovation but also places unnecessary barriers in front of developers and users alike, suggesting that Apple’s compliance efforts may be more about protecting its business model than supporting fair market practices. For the DMA to have its intended impact, it is crucial that tech giants like Apple go beyond mere legal compliance and actively contribute to a more competitive and transparent digital marketplace.
> I can't imagine why people use Airflow these days.
You lose out on a lot of other Airflow functionality because it all assumes you have your business logic embedded within DAGs.

As an old Airflow user, I can relate with that.

The contributors are great and the speed of the new features and fixes are great also.

I see two main issues with Airflow: (i) the lack of good interoperability with a cloud native stack, specifically with the k8s operators, that sounds quite hackish and (ii) lack of a better version control in the DAGs in way that we can have actually real lineage.

The point is that for most of the veterans in ~ETL~ Data Engineering in Cloud Native stacks, we just want to send a cli command or a Make command to a container to execute the thing that we want.

Apache Airflow does that, but as most of the things in the Python ecosystem at the time that you have a great UI (not confuse with UX) become way easier to embed business logic in the DAGs and have your application embedded with Airflow logic.

I will never bash Airflow since I got a lot of money in consulting migrating from and to it, but the general feeling of working on a daily basis for almost 7 years made me realize the sad reality around orquestrators. In the past, those used to be kind of the bedrock technology that you would never want to migrate, but today, due to this feature bloat and lack of vision, I started to see orquestrators as disposable as Java Script frameworks.
"Nobody wants to work anymore" (for $12/hr when rent is $1800/month)
I feel the same, but for me Rust is currently my hammer ;)

Checks all of the checkboxes.
I really hope they don't sell.

They really fucked up their pricing. There is such a steep cliff to climb these days. Literally starts at $30/user/month. You can almost get GitHub enterprise and Copilot for that price.

But their open core model, fully remote organizational structure, and overall product quality is highly valuable. How many open source distros self-host GitLab? Debian, Arch, Alpine, postmarketOS, any I'm missing? Then GNOME, KDE, and free desktop have their own instances. How many companies self-host or use gitlab.com? There is real value and momentum there. Would be a shame to succumb to impatience and AI frenzy. I doubt datadog can steward the project in the same way.
Computers are bad: a pedantic review of the Las Vegas loop
What We've Learned from a Year of Building with LLMs – Applied LLMs
This makes perfect sense - employers should also pay workers for the lost income due to improved productivity.
For instances where security gets that egregious, you may want to consider not just complaining to the hotel. Especially where people have an incident well documented, it may be worth filing a complaint with the state licensing agency. In Nevada, private security personnel and agencies fall under jurisdiction of the Nevada Private Investigator's Licensing Board (PILB). As a heads up, their website is a bit of a kludge to navigate through.
2012: Python is Awesome!

2014: Python is a pain in the butt to manage packages and dependencies, how the hell am I gonna deploy this?

It's still a mess 10 years later unless you live deep in the ecosystem and know what third-party solutions du jour to manage that complexity. At least we have Docker now.

Also let's not forget the Python 3 migration fiasco that lasted ~2008-2018 and I still find myself porting libraries to this day.

I haven't used Python in a personal project in 10 years because of these painful paper cuts .
Location: Yerevan, Armenia(UTC+4, but willing to work in US timezones)
Remote: Yes
Willing to relocate: No
Technologies:
- TypeScript, C#, Python, Go, Rust
- Next.js, React, Angular
- SQL, PostgreSQL
- Azure, GCP
Résumé/CV:
https://www.linkedin.com/in/vadimpashkov
https://drive.google.com/file/d/1N-0hp0OjlMSWGHaNWkggoxGyfamos3IP/view
Email: vad.pashkov@gmail.com

I'm Vadim, a full-stack software engineer with a degree in software engineering and computer science and 16 YoE working in companies of all sizes: from small, startup-like companies to tech giants like Google. My core principles at work are to do the right thing, consistently ship, and communicate effectively.
surely that has to depend on who paid for the panels?
If it comes back to the "bubble" price and surpasses it less than 3 years later, was it really a bubble?
You missed metaverses. Also there was another AI one; there was a smallish computer vision oriented bubble early last decade. Main product was a lot of money wasted on putative self-driving cars, but there was other stuff.
Seems like this just validates the idea that Patreon did not need to be an app. The website works just fine and I doubt people are using the app for discovery or content creation?

I know Patreon wants to capture as much of your time as possible, because they are now on the infinite growth destruction trajectory. So the app is going to stay and they will keep pushing it and probably remove features from mobile web because of it.

Imagine if Patreon was just a for-profit company and not a growth monster.
Yeah you could try to enforce it with a law, that's one strategy. But there's also the strategy of just getting in there and outcompeting the encumbents! As a consumer, I would certainly favor a new, non-profit player in this space.
It's because soos is the most perfect man
Does everybody really have ChatGPT installed? I, and most of my colleagues at work in the development department, don't use ChatGPT for anything. A couple of us use Copilot-esque tools, but even then, the suggestions are almost always useless.
> "PAT" would have been a better acronym: Public Available Information.

informaTion?

> Do we refer to street dogs as open source dogs?

No, but we don't call them Public Available Dogs either.
I have a solar plus battery off grid setup at one of my homes. My comment that is the top on this item (https://news.ycombinator.com/item?id=40877337) describes what I did for my solar setup. Two years in, everything has paid for itself. I expect the system to produce for 7-13 years without meaningful maintenance costs.

At the 7 year mark my cost per kwh will be below $0.02 . Power in my area (southwest US) is $0.12 per kwh. Some factors are complex to measure. Such as how much more I run the AC because it is essentially 'free' than I would if it were still $0.12 per kwh. Another complex factor is that I can generate much more power than I consume currently. If I found a sensible use for the surplus power then costs drop even lower even faster. My consumption is about 50% of max, on an annual basis.
> which is a lot more impressive.

Ah, well, there you run into a problem. Generally consumer ‘AI’ is pointless, and is there only because the markets are (or at least were; there are some indications that this may be ending) fixated on AI.
Playing Factorio has indeed given me a much better understanding of how congestion works in complex systems.
"Study authors should avoid the term 'Taco Bell'. It's turning off readers."

I'm not sure if it's worse than 'AI distinguished professor' though.
The rule for "unlimited" actually does cover it:

"Sometimes you may have multiple unguessed words related to clues from the previous rounds. If you want your team to guess more than one of them, you may say unlimited instead of a number."

You can't use "unlimited" as you're proposing - it's allowed only if there are multiple unguessed words from previous clues.

That said, the "0" approach isn't banned by the rules and would work the same way.
It's not "lying" to use the words most likely to correctly get your point across to your target audience. Maybe they could have communicated better (for a seemingly dead project, IMO they put enough time in regardless), but it's not lying.

> Anyone making claims about performance should know the difference.

They probably do know the difference. Knowing the difference isn't the thing you're quibbling with.

> If someone asks what your cable bill is and you say it's only $2.50 a month because you have 32 TVs, no one is going to say that makes sense.

Sure...because when asking about your cable bill it's unambiguous that you want the total number of dollars. The whole reason there's any issue at all here is that some of their language is ambiguous if you don't consider the target audience and don't analyze their charts or read the descriptions of those charts. Picking an analogy which resonates precisely because of the lack of ambiguity doesn't say a whole lot about the actual problem at hand.
Lee Oskar story that didn't make it in, he had to buy 100s of harps to find a small number that he liked

https://craftsmanship.net/the-return-of-the-harmonica/
This is essentially the route my brother took, sans the MBA. A couple years spent surviving as an IB analyst, after which he was promoted to associate. Stayed on for another year after the promotion, before being headhunted by a PE firm he ended up joining.
It would also be sad to see the scientific system destroyed by a wave of automatically generated papers that no human has the capacity to verify.

It's not hard to generate ideas, it's hard to generate reliable and relevant ideas. Such AI science generators are destroying the grass they graze on unless they take science more seriously (and not as a toddler idea of "generating and testing ideas", which is only a small part of the story).
“Stray information” sounds good, though.
Airports are a bellweather. This drives trends/investors/CEOs/middle managers. Living close to a large airport on a business city it was always

- VMware
- Azure
- IBM etc

Now-a-days

- Get your employees co-pilot assisted Intel/Windows/etc to boost productivity
Interestingly your comment is the very opposite of my experience with LLMs.

You can rely on them for creative stuff (write a poem, short story, etc.), but you cannot depend on them for factual stuff. Time and time again they will state "facts" that turn out to be false, and so now I no longer trust it for anything without manual verification. And since I then need to do the research myself for the verification, I rarely find LLMs helpful, except occasionally for initial exploration of some topic.

You used summarization as an example, but whether they are fundamentally good at that is even debatable, e.g. https://ea.rna.nl/2024/05/27/when-chatgpt-summarises-it-actu...
Having used both for about 9 years I would say that's not correct at all.

Github may have beaten Gitlab to the punch with Pages (whoopee) but CI is a far more important feature, and Gitlab CI existed for years before GA, and continued to be a far superior solution for a long time (and maybe it still is?).

Also, because Gitlab targeted enterprises they had a bunch of features that Github did not. Self hosting, Identity and role based access, weighted issues, project milestones and burndown charts, private issues, support for "innersourcing" of internal repositories. The list goes. Unlike Pages, which is useful but can be replaced by any other wiki, things like role based access to projects are really important. When I switched jobs a few years ago and had to use Github, it felt more like a hobbyist's web-based toy version, lacking a lot of "big-boy" features.

The one truly essential feature that separated them "for the 99%" was CI. Once Github introduced that, it shrunk Gitlab's lead.

But Gitlab are by no means playing catchup to to Github.
It's still very much a product that you can buy. One of the "features" was being able to look into the fridge with an inward facing camera from your phone while you're away from home. Potentially useful if you really can't remember what you have while at the grocery store.

One problem... it only showed 3 shelves on the fridge side. You couldn't PTZ the camera around the entire fridge. No way to see the stuff stored in the door. No way to check the freezer, etc. Most reviewers concluded it was practically useless.
‘AI’ became a bit of a term non grata after the last big AI bubble popped in the late 90s, and people just called everything machine learning or similar. Google was merely more willing than Apple to try reviving it; up until recently very few companies dared use the term.
I'll help you:

- relAIbility
Right. Can you cite anything that says that the go compiler does this sort of whole-program analysis to try to prove that a certain argument to a function is always non-nil, so that it can change the signature of that function and the types of variables declared in other functions?
I get that blind people don’t ride electric bikes and a lawsuit is out of line for sure when a friendly “hey your site is inaccessible to people with disabilities” might suffice.

But maybe folks should just make their sites accessible.

Blind people aren’t the only people who use assistive technologies and the ADA exists for a good reason. Install an a11y grading browser extension and see just how many sites are virtually inaccessible to disabled people for all the evidence you need to see how people with disabilities will so often not be treated equitably.
> They're both redistributing

Well, yes. While perhaps some metadata is lost, the content that is worth fighting for is captured in both cases. Practically speaking, there is no difference between the original source, an ISO rip, and an MKV rip. At least to the untrained eye, they are in every way equivalent. They both are redistribution, indeed.

That is not the case for SaaS in question. What you download during use can in no way be reconstructed into its original form. You can't use the software for a while and then, from what you've collected, start running the software on your local machine. The artifacts of use are very different from the software itself. To stick with your analogy, watching a movie on Netflix does not give you a copy of their server software. Distribution has not occurred.
The standard library plus the growing number of multi platform libraries covers a lot of stuff at this point. There are still some things that are a bit lacking but most of those things have people working on them.
I like they still do not really use AI but capitalized on the hype still. But they presented actionable features with intelligence behind it unlike many companies.

With Apple Intelligence it can be whatever they want it to be. Could be ChatGPT, could be rule based. AI is now being linked to ChatGPT/conversational for many people
It's also turning me away. Not because I don't like or fear AI. It's because I know, the usages of AI in names of products is a sure sign for incompetent marketing, who doesn't know what to do and who is desperate. I wouldn't buy from marketing that is desperate to sell things after they dictated them.
>Like most detailed policies, the operations manual is an interesting read for
the pedantic. Some parts are odd in a classically Elon Musk way, like the
manual's use of "What's Elon like?" as the first example of a question that
passengers might ask a driver.

>Drivers are strictly prohibited from using any assistive driving features.

Not the first time: https://en.wikipedia.org/wiki/John_Ernst_Worrell_Keely
Yeah but unless he does something very stupid(which is hard considering there is Trump) he has no chance/traction.
> LLMS are not AI.

Ironic demonstration that humans also do what is deemed "hallucinations" when AI do it: https://en.wikipedia.org/wiki/AI_effect

LLMs, transformer models in particular, are artificial neural networks. They have always been AI. AI is the field which led to this, the research is published as AI research.

It's amazing how often us humans (me included!) don't use RAG (retrieval augmented generation) in the form of a search engine and just trust our gut instinct for off-the-cuff responses :D

> Large language models have no formal reasoning, they have no long term recall, they contain no structured logic.

> I’m not saying it can’t be solved. I’m saying it can’t be solved INSIDE the LLM.

Do you mean transformers then? Because that is the current vogue architecture for large language models which is clearly a broader category.

The full details for the current best models are secret, but they're still large language models, and they're demonstrating surprisingly high performance on logic and reasoning.
no touchscreen, not fanless, not much storage, not high dpi, and bad battery I've heard... it's also just a rather large laptop as well. :(

i did look at this when i was trying to decide on an alternative before i just bought another barley used pixelbook with only 50 battery cycles.

it's half the price so if it works for you, great! but it's no pixelbook replacement imo
Boeing haven't exactly been covering themselves with glory with their non-NASA work over the last decade or two, either. But I'd still go with "both" :)
> We had two columns of names, forces of nature and animals and were pairing them up.

Nice. Now I wonder if the ~0.8? era extension "Firesomething" was directly inspired by that whiteboard. IIRC it randomly combined two components from lists.
Perl was made to ensure you don't have to learn the dozens of things you'd have to learn and slap together with all sorts of adhoc hacks. Everything comes in one package. The full language can't be captured in this comment, of course. But compared to Bash, you get a C like syntax(Bash comes from Algol, you have to learn a new syntax), you get error handling, full master set regexes, heredocs, qw, associative arrays, arrays, built-in string manipulation, unix interfaces, DB drivers, first class integration with command line tooling etc etc.

Think of it like a unix native language. Like the immediate extension to the operating system itself.

Apart from that Perl is very stable, fast, and very deeply committed to backwards compatibility. You can be sure the scripts you wrote years back will run on new Perls.

awk+sed are simple match-do engines, you can't do counting(atleast not easily), you can't do other myriad stuff like working with >2-3 files at one time(iterating simultaneously, in sub-loops etc).

If you are dealing with large files, in Perl its fairly simple to build a index by doing one go on the whole file, then use the key to map to the value where you want to go in the file using seek/tell(with pack/unpack), This makes frequent look ups very computationally cheap. In awk/sed you can't do error handling, you can't do reading and writing to multiple files at the same time et al easily atleast. In Perl, you get dbm drivers and functions install so its relatively straight forward to build look up applications of all kinds.

Perl also comes with OO, so if your code gets lengthier you can can fit it into neat design patterns.

Last but not the least. Perl has CPAN. Its just one of those things. Only real competition to CPAN till date is NPM. Not even Java/Python have a library ecosystem as large as Perl.
"Distinguished" makes the difference. ;)
There's no way someone is "barging in" with a door chained (with normal-style chain or a bar-style chain) in under 30 seconds, probably a minute or more of finagling the long tool into place to get it undone.

While this is happening, the person on the inside can totally thwart the attack by just blocking the tool physically - it's hard enough to do this while you're not being interfered with.
Friend AI Necklace [video]
For anyone using an Android phone, the ReVanced[1] patches for the YouTube app (formerly just YouTube Vanced) applies both an adblock and SponsorBlock, on top of various other convenience features. You'll need to provide your own YouTube APK file to patch.

I'll never go back to using non-Vanced YouTube ever again.

Advertisements are a blight on this world. They are the reason for marketing and sales budgets being quadruple that of engineering and UI/UX budgets, the whole 'form before function' thing, and enshittification in general.

[1]: https://revanced.app/patches?pkg=com.google.android.youtube
With browser dom support and CSS, that would be doable. Compose web is in alpha currently; it renders to a canvas.
A native Cantonese speaker and Hong Konger here. Appreciate your effort and love the interactive & minimalistic UI! I look forward to seeing it become an open-source project and can contribute to that!