skysight-inc/HackerNews huggingface dataset:
Except for number 3, the rest are more often disastrous or insulting to users and those depending on the end products/services of these things. Your reasoning is so bad that i'm almost tempted to think you're spooning out PR-babble astro-turf for some part of the industry. Here's a quick breakdown:

1. content: Nope, except for barrel-bottom content sludge of the kind formerly done by third world spam spinning companies, most decent content creation stays well away from AI except for generating basic content layout templates. I work as a writer and even now, most companies stay well away from using GPT et al for anything they want to be respected as content. Please..

2. Customer service: You've just written a string of PR corporate-speak AI seller bullshit that barely corresponds to reality. People WANT to speak to humans, and except for very basic inquiries, they feel insulted if they're forced into interaction with some idiotic stochastic parrot of an AI for any serious customer support problems. Just imagine some guy trying to handle a major problem with his family's insurance claim or urgently access money that's been frozen in his bank account, and then forced to do these things via the half-baked bullshit funnel that is an AI. If you run a company that forces that upon me for anything serious in customer service, I would get you the fuck out of my life and recommend any friend willing to listen does the same.

3. This is the one area where I'd grant LLMs some major forward space, but even then with a very keen eye to reviewing anything they output for "hallucinations" and outright errors unless you flat out don't care about data or concept accuracy.

4. For reasons related to the above (especially #2) what a categorically terrible, rigid way to screen human beings with possible human qualities that aren't easily visible when examined by some piece of machine learning and its checkbox criteria.

5. Just, Fuck No... I'd run as fast and far as possible from anyone using LLMs to deal with complex legal issues that could involve my eventual imprisonment or lawsuit-induced bankruptcy.
Products are the reflections of their makers. Obsidian is a great example. Happy from the beginning.
wat? ChatGPT renders links, images and much more.
I wasn't speaking to exceptions. There will always be those who require ridiculous amounts of money to live comfortably—this is not the norm.
I could see an argument that businesses and maybe even an economy are "disadvantaged" by banning noncompetes, even if I don't agree with it. But workers?

How could an agreement that prevents a worker from switching to other companies that would be the most interested in hiring them possibly benefit the worker?
I partially agree with you: not knowing what particular functions etc. do is one use case, another for me would be to detangle complicated control flow.

Even if I can reason about each line individually, sometimes code is just complicated and maintains invariants that are never specified anywhere. Some of that can come down to "what were the constraints at the time and what did we agree on", but sometimes it's just complicated even if it doesn't have to be. The latter is something I would love for a LLM to simplify, but I just don't trust it to do that consistently correct.
You can't "slap" someone with a non-compete. They have to agree to it.

What's making these people agree to the non-compete? What's stopping them from just walking away and not signing?
He had it summarized by chatgpt
>who in turn should be making laws based on the demands of the people

You see, that's where the fantasy ends...

If congress is bought off I'd rather trust the administrations. They aren't perfect but are usually more on point.
> A naval carrier group is pretty much invulnerable to any single weapon that exists today.

I’m unconvinced. When I worked in the field, they were persistent rumours that modern submarines did sink aircraft carriers in actual exercises which I’m ready to believe. A diesel submarine with its motor shut-off resting on the bottom is near impossible to detect.

Not entirely comparable but see how Ukraine seemingly easily neutralised the Russian Black Sea fleet. Modern Navy are not really built for symmetrical conflicts. My personal belief is that progress in space tracking, missiles, subsea warfare and autonomous weapons have made surface ships mostly obsolete.

They have their use but open war is a modern enemy is not one of them anymore.
The author gives two reasons why AI won't replace the need for metadata:

1: LLMs "routinely get stuff wrong"

2: "pricy GPU time"

1: I make a lot of tests on how well LLMs get categorization and data extraction right or wrong for my Product Chart (https://www.productchart.com) project. And they get pretty hard stuff right 99% of the time already. This will only improve.

2: Loading the frontpage of Reddit takes hundreds of http requests, parses megabytes of text, image and JavaScript code. In the past, this would have been seen as an impossible task to just show some links to articles. In the near future, nobody will see passing a text through an LLM as a noteworthy amount of compute anymore.
I feel like you and I would be friends.
All of those are features I love in Vivaldi. If it matures it will be a very welcome open source replacement.
"Conspicuously absent from their recommendations was any discussion about user interface design. Of their seven safety recommendations, six involve training."

Yes. That's because if your ship is going left and you can't figure out why when there's an interface clearly showing why (ie one engine input is higher then the other), it is a training and/or procedure issue.

The author then goes on to state that during steering control transfer, the checkbox is automatically unchecked. So the engine input UI is 100% not at fault here.
Robert Caro's book The Power Broker details how Robert Moses hacked govt post WWII, so that urban areas unwittingly financed sprawl. So much so that when NYC nearly went bankrupt, the victim was blamed.

So thoroughly was the con job that just now some groups have started to question it. Orgs like Sightline, Stronger Towns, micromobility, renewed interest in mass transit, and so forth.
>as long as it is not explicitly banned.

which this was going to do...

Non-competes for anyone below director level is beyond useless and simply an abuse of employees.
> The link is titled "Download Zen for macOS" which seems superfluous when the DMG starts downloading immediately, perhaps it needs a better title.

yes I found that awkward as well
I found zed to be pretty unusable. I don't use AI features but I'd love to replace vscode anyway. I just need an editor that actually works first
> You can even start a subscription newsletter titled "rtpg's best of Arxiv", containing curated links to a shortlist of the highest quality research you can find.

That's something worth signing up for.
yeah, more surrender to aggressive dictatorships by 'change through trade'. right now someone is bleeding out in ukraine because you peaceniks had your way for thirty years. bloody handed well spoken monsters in a world they want to leave ...
The solution to traffic is to build better, more efficient transit infrastructure that doesn't involve everyone driving their own giant metal boxes everywhere when for most trips they just don't need to.
I personally like busybox httpd, because sometimes it already is there.
That's why you charge extra for the White Glove Service turnkey support tier. Nobody's claiming every SaaS vendor has to spend days of support time handholding every single customer through setting up semi-custom SSO solutions - we're all just asking for the vendors to stop gatekeeping the basic off-the-shelf SSO implementation!
Not sure what’s your point bur the original claim was about a constant (or constant-enough) number of players.

> I'm also assuming your individual ticket contribution doesn't materially affect either the prize pool or the number of people playing. For a large N, small p, this holds true.
Wait, where can we read more about that? When you say "the keys to prod" do you mean the prod .ENV variables, or something else?
Why do you want to fire missiles if you have the technology to basically manufacture hundred of autonomous torpedos?

Would be much more efficient to just detect the ship from the bottom and then go explode under it. Torpedos do much more damage than missiles.
Nobody understands SAML because it doesn’t really exist. It’s not so much a standard as a bag of standard parts from which a protocol can be assembled. It’s possible for two implementations to be fully compliant and yet incompatible.

PS: the single most common developer error is assuming the SAML configuration is static and has a single certificate somewhere. The modern approach is to get all configuration from a metadata XML file including the multiple overlapping certificates that are used to implement seamless rotation on a schedule. If you haven’t accounted for this, you’ve “made it work” just like a child making a flying machine by throwing a rock.

(Guess what I was troubleshooting just this morning in a vendor product juuuust this morning. I’m not bitter this is the fifteenth time I’ve seen this exact issue. I’m not!)
> Before JSON-LD there was a nest of other, more XMLy, standards emitted by the various web steering groups. These actually have very, very deep support in many places (for example in library and archival systems) but on the open web they are not a goer.

If archival systems and library's are using XML, wouldn't it be preferable to follow their lead and whatever standards they are using? Since they are the ones who are going to use this stuff most, most likely.

If nothing else, you can add a processing instruction to the document they use to convert it to HTML.
Why not? Do people who make digital goods not have to eat?
LLMs have no soul, so I like content and curation from real people
all functionalities are absolutely no warranty
Timekeeping is always epoch based. When the definition changes you update the display code. There’s no way to write code today that accounts for future changes in local time.
I have been reading a number of books about Eisenhower recently, in preparation for writing a long form post about his decision making process. One of the recurring themes throughout his presidency was the conflict between the former Supreme Commander, who quite literally ordered thousands of men into battle and their deaths, that wanted to work toward some kind of peace and de-escalation with the Soviets with regards to nuclear weapons – and the military-industrial-political complex that pushed and pushed him to fund more weapons without any restrictions on the budget or geopolitical implications. Eisenhower of course was no fool and didn’t disregard the need for weapons, but he generally tried to navigate the narrow path between defending oneself and escalating an arms race.

One of the takeaways I had from this was essentially how powerless even the president was in pushing back against the arms race, even against his own people. This of course culminated in his famous farewell speech where he coined the term MIC.

In any case, if the dynamics of these kinds of companies interest you, I cannot recommend reading about Eisenhower’s presidency enough. There was actually a situation with Taiwan that is still quite relevant to today.

And I truly hope, but unfortunately doubt, that equivalent amounts of money are being put into startups or organizations that help solve, diffuse, and de-escalate conflicts.
Do you mean that the support burden is not a valid reason to charge for SSO?
In my experience support us the most tedious, annoying, and time-costly part of building a SaaS so I would definitely always charge extra for anything that requires more support
I think we need to be very careful making blanket statements about the usefulness of certain LLMs.

In my experience for every task another LLM is excelling and where one was good it might fail for the other task. They can do great things, but it’s not guaranteed and a lot of manual intervention and back and forth is still needed.

We are not at the point where using AI in the company ist just a blanket win for everyone involved. Companies are investing a lot but the return is hard to measure and not always guaranteed.

This is the problem with early technologies, they work sometimes but not guaranteed and we build our expectations on extrapolating their usefulness. We should not judge this technology by the current success rate, but rather by how much impact it will have once we get the success rate to higher and higher levels.

Still, what we can say is that for certain occupations it already helps them reduce their work by 15% (software engineers) and probably even more for some (writers, product owners, office warriors and alike). This is a great achievement in of itself, think how much this will make up in a company as large as MS or Google.
This is 100% Built on some GTAV source code right?? I don't care if the answer is yes. I think thats kind of sick. But you're seeing it too right?
See what's possible with Copilot in Excel
Some discussion then: https://news.ycombinator.com/item?id=22998423
Not my Circus, as I get European 'free' coverage: is this reflected in excess death data?
Yes me too! I don't have any stake for finsing LLMs unhelpful, and would love to have a tool to make me more productive.

Would be really interesting if anyone had blog posts on their actual workflow with LLMs, in case there's something I'm doing different.
I realise there is an ongoing humanitarian crisis going on in Gaza, but not everything is about it.
> You said barebones, but for any real server you would want to use the generic host

True, I intentionally said barebones as I wanted a minimal example. I asked it to modify the code to use the generic host, and updated the chat link (so refresh). Keep in mind this is the free ChatGPT, but I still think it did reasonably good. The example compiles as-is, and is very close to functional. I've not used the generic host stuff before either, so again this would save me time searching and piecing together code.

> Finally, parsing can be simplified since ASCII is a proper subset of UTF-8, you can just parse the entire string as UTF-8.

I don't think that would work, because the free-form text message part at the end must contain a BOM if it's UTF-8 encoded, according to the specification. AFAIK you can't have the BOM in the middle of a string.
"Most significant" in this context is in analogy to most significant bit/digit, which is objective. In this case, the year.
Well stated.

An awful lot of gunning for war. The words inclusion are very much talked about in context of human beings but it disappears out of the window when talking about foreign policy. Perhaps inclusive foreign policy could have resulted in the avoidance of the Ukraine war? Instead everything is focused on escalation and exclusion.
"For his next decision, ..."

The judge is female.
There's a good chance they have a positive gross profit, otherwise they wouldn't be scaling so quickly (almost 10x in s year).

Waymo isn't going anywhere, people love their service, they plan to launch in a fourth city (Austin) later this year and the cost per mile will only go down in the future. For example, their 6th gen car is substantially cheaper per their claim.
The argument about LLMs is wrong, not because of reasons stated but because semantic meaning shouldn't solely be defined by the publisher.

The real question is whether the average publisher is better than an LLM at accurately classifying their content. My guess is, when it comes to categorization and summarization, an LLM is going to handily win. An easy test is: are publishers experts on topics they talk about? The truth of the internet is no, they're not usually.

The entire world of SEO hacks, blogspam, etc exists because publishers were the only source of truth that the search engine used to determine meaning and quality, which has created all the sorts of misaligned incentives that we've lived with for the past 25 years. At best there are some things publishers can provide as guidance for an LLM, social card, etc, but it can't be the only truth of the content.

Perhaps we will only really reach the promise of 'the semantic web' when we've adequately overcome the principal-agent problem of who gets to define the meaning of things on the web. My sense is that requires classifiers that are controlled by users.
Then you are living above your means. Having $2M in assets puts you in the top 5% in the USA, let alone with world. If you can't figure out a way to pay for food with this much money tied up in assets, you should spend some of your savings on a financial advisor.

There are literal minimum wage workers getting by in the bay. I really can't understand this obsession with not wanting to admit that you are well-off.
In Java, would you catch that these two snippets of code do different things?

List<Integer> l = new ArrayList<>();
l.add(1);
l.add(2);
l.add(3);
l.remove(1); // invokes List.remove(int)
System.out.println(l); // [1, 3]

Collection<Integer> l = new ArrayList<>();
l.add(1);
l.add(2);
l.add(3);
l.remove(1); // autoboxes 1 and invokes Collection.remove(Object)
System.out.println(l); // [2, 3]

Bugs very often lurk in language specifics. Python has its infamously static default arguments as an analogous quirk.
Are you replying to the right person? I'm saying that "pattern" need not be restricted to the narrow sense used in the famous "Gang of Four" book[0], not that patterns are inherently bad!

[0] https://www.oreilly.com/library/view/design-patterns-element...
maybe they just goto know the alternatives behind the hippy veil and they are ugly old landempires using idiots.
GPU compute price is dropping fast and will continue to do so.
"A psychological test is considered strong if it has a test-retest reliability of at least 0.7, and preferably over 0.8.

Current studies have found the race IAT to have a test-retest reliability score of 0.44, while the IAT overall is around 0.5 (pdf); even the high end of that range is considered “unacceptable” in psychology. "

Took 1/4 the article to show the goods
>I can put your brain in a vat and stimulate your sensory neurons with a statistical distribution with no actual meaning, and nothing about how your brain works would change either.
The LLM and your brain would attempt to interpret meaning with referent from training, and both would be confused at the information-free stimuli. Because during "training" in both cases, the stimuli received from the environment is structured and meaningful.

What an absurd response. Yes, you'd probably cause the human brain to start malfunctioning terribly at the form of consciousness it's well -accustomed to managing within the context of its normal physical substrate and environment. You'd be doing that (and thus degenerating it badly) because you removed it from that ancient context whose workings we still don't well understand.

Your LLM on the other hand, has no context in which it shows such a level of cognitive capacity, higher-order reasoning, self direction and self awareness that we daily see humans to be capable of.

>By the way, pretty sure a neuroscientist with 20 years of ML experience has a deeper understanding of what "meaning" is than you do.

really? An appeal to authority? Many smart, educated people can still fall for utter nonsense and emotional attachment to bad ideas.
Universities usually get 40-60% of any grant money by researchers as overhead fees. This is usually negotiable but it is not like you have much to barging against administration as individual researcher/group unless you are one of the top in your field or a nobel prize candidate.
What kind of media? An Obsidian vault is just a folder with files in it - and with the `![[file-name]]` syntax or the `![title](path/to/file)` syntax if you prefer plain markdown (for portability?!) it just embeds?
The PHP Foundation: State of Generics and Collections
There is a local business owner I really like, and he honestly has no idea who I am or what I do, which is crazy he has never googled me, but that's because he's authentic. And I am his IT support, even though this is totally insane. Think like a guy who owns a UPS store equivalent. Super nice guy, goes to my church, I really like him.

So he calls me up every few months to help him with IT, and I go to his business and sit in his office and do his printers and whatnot, no questions asked and nothing in return except maybe a free red bull.

The #1 issue, of all, is Sonos. This thing is a total piece of fucking shit, holy moly. I've never seen a worse piece of garbage than Sonos. This thing is beyond insane.

What I've done is written out is a 61 step series of actions he can take to try and get it to work. He has 7 speakers in his retail store, and they randomly go out, and it ruins the vibe he wants. The moment they go out and the 61 steps don't work (which we have built over years of trial and error) he calls me, and I change my entire schedule to get over there for 4 hours to help him. What a terrible, malevolent, awful, maniacal, disgusting piece of garbage Sonos is. Hate, hate, hate this piece of shit.
The main problem is that the incentive for well-intentioned people to add detailed and accurate metadata is much lower than the incentive for SEO dudes to abuse the system if the metadata is used for anything of consequence. There's a reason why search engines that trusted website metadata went extinct.

That's the whole benefit of using LLMs for categorization: they work for you, not for the SEO guy... well, prompt injection tricks aside.
Yes, the idea is that extending life is important but not every year of life is equivalent. If you spend a year bedridden that’s not as good as a year housebound, which is not as good as a year when you are in perfect health.

So when people measure the value of interventions it’s measured in QALY.

The downside is that it’s subjective.
It is actually not much of a joke to say that if you're white you are racist according to some people.

See definition 2A added after the George Floyd murder:

https://www.merriam-webster.com/dictionary/racism
So like trial & error? Modify, compile, run?
Hmm, -O3 at least used to have a bad reputation for producing potentially buggy and/or slow code.

That was years ago though, and I have no idea if that's changed for the better.
Metadata in PDFs is also typically based on semantic web standards.

https://www.meridiandiscovery.com/articles/pdf-forensic-anal...

Instead of using JSON-LD it uses RDF written as XML. Still uses the same concept of common vocabularies, but instead of schema.org it uses a collection of various vocabularies including Dublin Core.
Perhaps: "Defender" is what I've noticed.