skysight-inc/HackerNews huggingface dataset:
> I don’t really buy the narrative they people will be only consuming AI content in the future.

It really depends on what content you're talking about.

Movies: the movie industry is big, glitsy, expensive, and makes a shitload of money. And they like all of that about their industry. The reason the mainstream movies cost so much both to make and to sell is that they are effectively the "luxury car" of media. While they might try and make AI tools a bigger part of workflows (which is one of the reasons SAG-AFTRA is on strike, they already are trying to do this) no company on the level of Fox or Warner Bros. is going to make a movie written entirely by AI, or even worse, an AI generated movie, and sell it as such. It would tarnish the brand.

TV Shows: trickier. Depends on the studio. Lower-tier smaller studios might start leaning on AI tools harder to help them compete with bigger operations, but still, the notion that people would seek out and consume a TV show (or any media really) that was entirely AI generated only makes sense to me if the people are looking to experience AI generated art, for it's own sake. And we MAY get a bubble of that, briefly. But I suspect what AI is going to dominate faster than anything is:

Social media gristle and Influencers: I think this is where we're going to see AI explode. We already have tons of very bizarre and yet seemingly profitable businesses that just run warehouses of video production teams overseas, that churn out all kinds of stuff: sponsored instagram videos, 5-minute-crafts type junk, those weird facebook videos where it's just some dude going "oh just wait till I take this off and it's gonna be amazing" for several minutes. That's what AI is going to dominate really, really quickly. We've already had cases of entire youtubers with multiple channels turning out to be a marketing team manufacturing "genuine feeling" content to promote whatever products, and imagine if you could automate it. You could construct an entire backend that would just accept sponsorships, work them into videos with surface level readings of current social media trends, render it and barf it out onto the various platforms and promote with ad services.

And like the barrier of quality is so fucking low for that stuff, nobody will care if there's weird fingers here and there, minor grammatical errors or even if you use really old school text to speech. Just put a pretty face up there and hey, if whatever character you come up with doesn't catch, screw it. Burn the build, restart with a different one and repeat until you can go viral.

And I think it's extra applicable there precisely because no one chooses that, and yet most people consume at least some level of it because it's so ubiquitous on social media. There is TONS of this stuff and the only way to lower the barriers of entry further to it's production is to make it so you don't actually need a pretty woman in a bikini to sell your crypto coin exchange, or some business casual douche to sell your LinkedIn alternative or market your podcast app or whatever. You just enter the commands, generate the slop, and upload it.
>A fresh batch of basil at the grocery store is essentially a luxury item

Not in Vietnam, and not in the Chinese (Great Wall)/Korean (Hmart, Lotte) grocery chains in the US. Eating a whole sprig of basil is common in various Vietnamese meals. My point is that basil doesn't have to be a luxury item. It grows very well without much effort.
They're referencing the common "toxic masculinity" talking points. I, personally, have always seen that more as displacing/blaming versus addressing legitimate issues.

A common example would be the topic of male suicide, which is usually addressed as either "well, women try to kill themselves more often and that's totally not an indicator of attention seeking behavior versus genuine depression and fatigue with life" or "toxic masculinity and the patriarchy creates all of the problems for men". Both of which ignore pangender expectations and influences on the average (versus in-power) male experience.

There's no doubt that the American left (and other Western nations' equivalents) diminishes male issues or treats them as unimportant due to the perspective that men created and control all of those issues. Useful for political influence, but useless for discourse or problem solving.
As I am fond of saying, there's a common misquotation that runs "YAML is easy for humans to read". The full quote is "YAML is easy for humans to read wrongly".
This approach is problematic because, as far as I know, all implementations expect to deserialize from a complete buffer -- at least all official implementations. That means the entire "stream" would have to be buffered in memory.

You can, of course, simply read field by field, but few libraries expose the ability to do that simply. And the naive operation then becomes quite problematic indeed.
person writing this came to know some thing that he din't know earlier and decided to convert his light bulb moment into a blog post. not bad bad but failed to understand that logs are the generalisation of very thing they are talking about.
The predictions the article makes are a bit unimaginative and shallow. The timeline is also somewhat extremely long. It's more like late 2023 than 2027.

So, Language Model UX in 2024 according to me:

- Pervasive: Virtual assistants are omnipresent, and integrate everything together. Like Alexa that is actually intelligent and can for example make you a custom app for interfacing with your banking following your preferences on-the-fly for you only. Web apps become meaningless as you are getting the UI you need customized, tailor-made, live when you need it. Agents go with you in smartphones or project to any device nearby. No need for authentication, bots know you.

- Agentic: They will negotiate with each others all the time and present a unified interface to you no matter which system you are interacting with. The air is full of silent chatter. Things move when you aren't watching. Progress is decoupled from human input, attention and care.

- Web searches and such are for bots. Answering phones is for bots. Making calls is for bots. Any person still grasping at these kinds of interfaces will notice all emails they get are from bots, and all emails they send are instantly answered by bots. Just let go, let the machines handle that, which brings me to:

- Intermediation: No matter what you do, a bot will help you with it. Swiping Tinder? Don't bother, a bot does it better for you. Just lay back and relax. Ads become targeted to bots and truthful, because the bots won't forgive misrepresentation, ever.
That's not a very useful model for four reasons: First, there are many more possible outcomes of making an investment than 100% gain or 100% loss. Second, the outcome of an investment is a function of time. And third, what matters is not the actual number, but the purchasing power that number represents, so you have to measure your returns relative to inflation. You can "guarantee" yourself a positive return by buying T-bills, but the average rate on those is 2% and the average inflation rate is higher than that. So you can "double" your money in ~35 years, but your actual spending power will almost certainly go down. Finally, investment returns necessarily regress to a mean that is the growth rate of the overall economy, which historically has been positive. So to the extent that you are flipping a coin, it's a coin that is biased towards positive returns.
That's a projection. Also OpenAI didn't walk into museums to "learn". It downloaded billions of images that it then ingested tokenised and then mixed to produce results. It's not a human "touring a museum". This argument is absurd and is based on the flawed notion that software has "equal rights" to humans, or that it posseses some sort of intelligence.
Adapting Large Language Models via Reading Comprehension
I think a lot of YAML hate comes from the systems that use YAML (all those things that configure virtual machines, containers, cloud assets, etc.) that have bad data models to begin with and are part of bad architectures. (e.g. Hashicorp seems to come out with a new product every week to fix the problems with their old products)
1) Buy domains that you have no intention of using, but you think someone else will.

2) Sell domains for 500 times what they cost you because you were wrong to think "someone will want this" about most of the domains you purchased.

3) Write a blog to say "Domain investing is a business" instead of admitting it's a ridiculous business that probably shouldn't exist because it doesn't add any value to anything.
>"...and his opinions of the British state"

It had definitely turn south after what happened. Why the fuck do they care anyways?
A ruler isn't a "machine"...
The book illustrator is an artist who works in publishing, the art gallery painter is an artist who participates in the "fine art" world.

I've never heard these terms used like you are using them.
And trailing comments?
> Will homebrew work on Ubuntu?

Yes, brew works well on any x86 Linux distro (doesn't support ARM yet, sadly).

> Why is there no Debian or Ubuntu package or ppa listed?

Packaging for every distro is a lot of work, and the Nu core team has had other priorities. I think we'd like to have Debian-specific packages eventually but that will probably require some work by a motivated contributor. In the meantime we publish binaries, and it's fairly easy to build from scratch or use Homebrew.
HAML reminds me of a "whitespace sensitive" ML we used that's 1:1 with XML:

node @attr="bob saget"
subnode @foo="john"
subnode @ham="bar baz"
html:h1
p $"this is literal text"

It's ok.
Daytime Protocol
It's inevitable, but that doesn't mean we should delude ourselves into thinking it's win-win for everybody.
CUE does not integrate with XML yet because of these beastly features, in particular how to handle attributes on an object when it also has nested content. It's basically the same problem of how you would transform XML into yaml or json, though there are more options in CUE
I can summarize the football game to you for just .99, would you like that?
it would need to understand shading, layering, strokes etc.. and how utilize them to get pleasant effects.

idk how a computer would deal with the unpredictability of a medium like water color. axidraw looks more like a printer thats using a pencil instead of ink.

skip to 36min in here, https://www.youtube.com/watch?v=OokWxQPU5kw
>Aren't they afraid some court

Sam Altman has already empirically proven himself to be rich enough to be above the courts with the whole WorldCoin thing, why should he assume it would suddenly be different now?
Surely anyone approaching this topic is going to find some sliver of agreement, right? How could you avoid it?
You're one of those few lucky whose malformed xml cause no issue.
XML -> human editable format -> XML

I am searching for this, any clue ?
I haven’t really used it. Can it follow all the details of a precise prompt as shown here?
If the government does nothing, the free market has no incentive to care about climate change. https://en.wikipedia.org/wiki/Carbon_fee_and_dividend is probably the least invasive solution, as the government 'just' puts a price on carbon and lets the market find the cheapest ways to avoid it.
Yeah, it's straight up diffe-hellman, even using the First Oakley Default Group as it's prime.

https://github.com/XombieOnline/xombie/blob/7a1ef08045271437...
Interestingly based on this you would have $500B simply by investing the money in the S&P500 and holding it for 140 years. If we move the date back to 1874 then after 150 years you'd have $1T:

https://www.officialdata.org/us/stocks/s-p-500/1884?amount=2...

In other words the whole game of corporate planning is fairly pointless imho and merely a shell game around market growth.
Well that’s my question. Adobe did exactly that to eliminate many companies and projects over night with Firefly
"Consuming content" is fundamentally an act of boredom and addiction to novel stimuli, in increasingly shorter and shorter forms.

Just as the current generation of youth have much shorter attention spans because of growing up with endless scrolling feeds of bullshit, the next generation will consume AI-generated drivel for no reason other than it's novel.
>Does this dude not understand what a data serialization format is, yet is trying to tell people how to design applications?

"Data serialization format" is irrelevant, both XML and YAML are designed for this.

It's just that XML was just over-designed (with all the auxilliary specs), and YAML was designed badly from the start, even for mere configuration.

If someone thinks the refuted his points or preference because they "understand what a data serialization format is", they are really not understand XML/YAML and the domains they're actually used.
> If you dare to bring up men's issues in education, parental rights, etc, you get lumped in with the MRA wackadoodles

The only time I’ve seen that happen is when the proposed solutions are things like rolling back women’s independence or trying to excuse things like harassment as “boys will be boys”. I’ve otherwise read tons of things about helping build healthy relationships, having non-sexual friendships, improving educational options, bolstering employment options which don’t require college degrees, helping with unreasonable expectations and mental health/substance abuse traps, etc. and have never seen the dynamic you describe.
There's already an AI generated, fake episode of Rogan's show: https://m.youtube.com/watch?v=meu0CoYv3z8
Very very nice. But it should really be an action in clangd instead of its own tool, for simple integration with LSP.

Also instead of always replacing the text, it could also be an overlay, where the function call is temporarily expanded in your IDE while in some special mode.
Your fellow man.
Because synchronizing data with multiple users updating data in a distributed manner then reconciling it is not trivial.
I'm curious, CRDTs are good for having data converge in the same state but not necessarily ensuring that the state it converges to is "correct". How does this solve that?
Absolutely. I've already started thinking about how I could incorporate some kind of comparison feature.

Because there's no way to control the seed, a direct comparison (using a before/after slider, for example) probably wouldn't make sense. But I could put the group of 4 images from each version above/below each other as a general comparison, perhaps?
So, you want to make a game engine
Well that seems to be The tools we make makes us type of situation.
> the kind of content people want.

Well put. I was wondering how that aspect was going to be acknowledged & phrased here.
You can't use artist names in prompts anymore so I don't think you'll be able to use DALL-E 3 there?

EDIT: it's only living artists actually that you can't prompt (hopefully, the article says so at least)
Fed leaves interest rates steady, signals one more hike ahead
I already assume most pseudononymous online commentary and articles are written all or mostly by machines. Usually for marketing or social engineering purposes.

But I am a cynic.
This. There is no use writing "X is better than Y" without specifying what metric(s) you're using. If it's about human legibility or editability, YAML is better than XML. On the other hand, I would never use YAML as a machine-to-machine data interchange format; for those, JSON or XML are superior.

I also had to laugh at this statement:

the YAML specification has all these features that nobody ever uses, because they’re really confusing, and hard, and you can include documents inside of other documents, with references and stuff

That's a pretty funky argument to use in favour of XML.
The key here is the "high quality". There is nothing like fresh herbs with no pesticides.
Not quite unambiguous! It declares how to parse numbers, but of course the "reference implementation" of JSON (insofar as there is one) is Javascript, in which numbers are floats and hence e.g. are bounded in precision, so the spec actually disagrees with the reference implementation.
It's quite a bit more narrow, but FusionAI is a really cool example of this too! https://www.producthunt.com/posts/fusionart-ai
> This is why getting tested for something which results in endless prescriptions is done enthusiastically while a test for something which might find something which requires them doing actual work provokes the sort of self serving concerns expressed elsewhere.

You'll have to be more specific because right now this is just handwaving. What kind of "actual work" are you referring to?

It's generally actual medical researchers, who will neither get revenue or have to do actual work, who are objecting to excessive testing without patient outcome benefits.
Off the top of my head, the left talks a lot about gun suicides (and how to improve the situation).

Why this is relevant to the discussion:

The gun suicide rate is up for teens:
https://www.usatoday.com/story/news/nation/2023/07/27/guns-s...

Men are far more likely commit suicide by gun:
https://preventfirearmsuicide.efsgv.org/about-firearm-suicid...

Unfortunately, the news tends to focus hard on the "mass shooting" angle instead of the suicide rate when discussing safe storage and red flag laws.
https://huggingface.co/papers/2309.09530

Abstract

We explore how continued pre-training on domain-specific corpora influences large language models, revealing that training on the raw corpora endows the model with domain knowledge, but drastically hurts its prompting ability for question answering. Taken inspiration from human learning via reading comprehension--practice after reading improves the ability to answer questions based on the learned knowledge--we propose a simple method for transforming raw corpora into reading comprehension texts. Each raw text is enriched with a series of tasks related to its content. Our method, highly scalable and applicable to any pre-training corpora, consistently enhances performance across various tasks in three different domains: biomedicine, finance, and law. Notably, our 7B language model achieves competitive performance with domain-specific models of much larger scales, such as BloombergGPT-50B. Furthermore, we demonstrate that domain-specific reading comprehension texts can improve the model's performance even on general benchmarks, showing the potential to develop a general model across even more domains.

Our model, code, and data will be available at https://github.com/microsoft/LMOps
And what happened since to JSON and YAML? JSON schemas to replace XSD, YAML/JSON templating to replace XSLT, jq to replace XPath.
> Essentially all these stories are apocryphal. Even this vapor lock story.

The vapor lock ice cream story might go back to this 1997 Car Talk Puzzler, where Ray claims it was a customer of his: https://cartalk.com/radio/puzzler/finicky-volare
Pro tip: remember that all JSON is valid YAML. You can put JSON in a .yaml file and be just fine. I find that handy when the explicitness makes it easier to read the file.
The killer app for me would be if AI could generate infinite versions of old, discontinued content: TV shows with the original casts and believable storylines, movies by a particular director, music by a band who’s no longer making albums. I don’t like most media these days and end up just re-watching/re-listening to stuff from decades ago.

If I could just generate a new Star Trek TNG episode each week that was 100% convincingly done, I would absolutely pay for that product. Or if I could just generate a new Pink Floyd album or whatever, and it’s convincing enough—that would be great.
I like 1Blocker [1] and Hush [2].

[1] https://apps.apple.com/us/app/1blocker-ad-blocker/id13655310...

[2] https://apps.apple.com/us/app/hush-nag-blocker/id1544743900
> Yeah, that makes sense, it is a very odd sentence otherwise. Truncating on "bot" might be a play on words for game AI/NPC.

I wonder if you could dig into the game code and see where the string is coming from.
That is amazing. I would have been putting salt barriers around my windows, jeez.
>Both octopi and octopodes are acceptable spellings, but octopuses is the more widely used spelling, especially in formal writing and speech.

Source: https://grammarist.com/usage/octopi-octopuses/
XML schema definitely has types.
https://cartalk.com/radio/puzzler/finicky-volare
I agree - however is it really productive to the discussion if multiple people are commenting the exact same thing every single time? Upvoting one comment that shares this sentiment is enough, in my opinion...otherwise any valid criticisms are overshadowed by this outrage over the name.
The art produced by GPT-4 so far hasn't been at this level but this may be a newer version. See: https://arxiv.org/pdf/2303.12712.pdf
Because SD has way less commercial restrictions and provides far more control than a text prompt alone ever could even with a real human on the other end.
What you're seeing is the support amongst your bros. That's great. That doesn't equate to discussion on 'the left'. You don't see it being discussed much in books, podcasts, blog posts, documentaries etc, except on the right.
No, he doesn't. He straight up attacked Bernie on the College for All saying that we all don't need college, which is true. But the College for All bill included non-college related education and secondary education like trade schools and training programs. But he decided to ignore all of that to squeeze his head up Trumps ass and bitch about a program designed to give America blue collar people a fighting chance.
Security for Nodes under GKE and EKS: 0 vulns or 70?
The real flippening is coming where most people prefer the AI generated content and even AI interactions. You will also. You will learn to love Big Brother.

The main problem with this is that AI can totally subvert expectations, like in the movie “ex machina”. It can simulate as deep of a sincerity as you need and then turn around and screw you. Or may be screwing you the whole time, at scale.

The worst part about AI is swarming. When people discover how to have self-organizing swarms of AI agents, then chaos will erupt.

And the sad part about it is that corporations (a form of AI) can know 100% that will be outcome and still push each other in an arms race to do it in order to grab all that low hanging fruit along the way before their competitors do.
This might be specific to FSD.

No problems with AP.
Astro shows the same decline. Likely an NPM reporting bug, some big infrastructure caching, or similar.
XML -> a not-piece-of-shit IDE/text editor -> XML
You can always encrypt local data even if the metadata is not encrypted. But that restricts it to the device itself by default, not even your other devices on the same account can read it.

If you want encrypted and shared with other devices or users you have to surface key management to users which is very difficult to do. Signal and a few others do this but they’re very bespoke to the specific business logic. To provide a general purpose abstraction layer is still an open problem, afaik.
Well, Frontex, the EU border patrol agency, was imvolved in illegal pushbacks (you cannot deny entry to asylum seekers, not speak of the duty to help people in dostres at sea) multiple times. Even resulting in the death of people. Nothing happened, besides having the head of Frontex being removed. Go figure.
This is exactly opposite to my personal experience, where increasing protein to more than twice 0.8g/kg caused improvement of metabolic syndrome symptoms, including weight loss and remission of diabetes, sustaining after more than three years.