skysight-inc/HackerNews huggingface dataset:
> Sure, most folks would frown and claim that Kanji or Arabic script looks like noise and must be difficult. Yet some people read it just as easy as we read roman scripts

This is folding several claims into each other, and they're not all true.

I would tend to associate "looks like noise" with writing where the units are not separated from each other. Arabic has this feature and this makes it appear more forbidding to the untrained.

Devanagari has it too: भारत गणराज्य

Ge'ez script doesn't: የኢትዮጵያ ፌዴራላዊ ዴሞክራሲያዊ ሪፐብሊክ

English does, if you choose to write in cursive.

By this standard that I just made up, kanji are clearly pretty far toward the "organized" end of the spectrum. An untrained person looking at them is going to be able to tell you what the main principles of the script are. And while I suspect that people complaining that a script "looks like noise" are mostly just saying that they can't read it, I also think that if people were forced to rank scripts based on how confusing they look, Arabic would be rated a lot more confusing than kanji.

(For a parallel to the above examples: 大日本帝國; الْخِلَافَة الْعَبَّاسِيَّة.)

This belies reality; in fact, reading kanji is so much more difficult that your claim that some people can do it as easily as we read Roman scripts is not defensible. (Whereas it's fine for Arabic.) The problem isn't in the appearance of the elements, it is that there are too many of them. This means that (a) learning to read kanji is a multi-year process; and (b) even those who are considered "fully educated" nevertheless need help in doing things like reading museum plaques or technical documents that use words which modern people are not expected to encounter in day-to-day life. If all you have is "full" training in the writing system, these words cannot be read at all, so there is a system of phonetic annotation for just this purpose. (For Japanese kanji, ruby; for Taiwan, zhuyin; for mainland China, pinyin.)

Kanji in specific has an additional problem that Chinese characters do not have, which is that the Japanese interpreted it as being primarily a logographic script rather than a phonetic script. To predict how a kanji is supposed to be pronounced, you need to see a particular use in a particular sentence and know the Japanese language. This is not true of Chinese characters - but it's not so much of a problem for your claim that "some people find this just as easy as we find reading Roman characters"; native speakers of Japanese don't have a problem with knowing Japanese. It does mean that it's hard to predict how personal names are supposed to be pronounced.
So my experience creating products on GPT3.5-Turbo is that there is an upper limit to how much instructional complexity the model can handle at a time. It isn't really about "adding computation", though you are doing this. The key is to construct the process so that the model only has to focus on a limited scope to make the decision on.

In effect you are kind of creating a tree structure of decisions that build off of each other. By generating intermediate tokens the model can now only pay attention to the smaller set of already collapsed decisions. It is a little more complicated than that as the model will create anticipatory behavior where intermediate steps get biased by an incorrect result that the model anticipates.
Is this the first YC company to offer a VST?

Congrats on the launch! Great to see a genAI product that generates ingredients for creative use rather than just a finished product.
I have another explanation. LLMs are essentially trained on "A B", i.e. is it plausible that B follows A.

There's simply a much larger space of possibilities for shorter completions, A B1, A B2, etc. that are plausible. Like if I ask you to give a short reply to a nuanced question, you could reply with a thoughtful answer, a plausible superficially correct sounding answer, convincing BS, etc.

Whereas if you force someone to explain their reasoning, the space of plausible completions reduces. If you start with convincing BS and work through it honestly, you will conclude that you should reverse. (This is similar to how one of the best ways to debunk toxic beliefs with honest people is simply through openly asking them to play out the consequences and walking through the impact of stuff that sounds good without much thought.)

This is similar to the reason that loading your prompt with things that reduce the space of plausible completions is effective prompt engineering.
There's more usage of vertically written Japanese than you listed. Some signboards, some formal letters, many paperbooks (and ebook version), vast majority of non-technical magazines are still vertically written.

Fortunately, for forms, I haven't seen any vertically written forms except school work.
How many characters tall is a Japanese book? English paperbacks seem to be similarly sized on the number of characters/words wide. Interface guidelines put an optional number of characters on a screen somewhere between 60-80. Books being taller than they are wide seem like it would stretch the limit to something harder to track for vertical writing.
Club Med: Dispatches from the Adderall Epidemic
> Should Apple have a "grant once for app, always allow location service?" (note: this would allow an innocuous app to turn into a tracker with a later update)

Users should be allowed to grant grant “always” permission, for that app version. The next time it gets updated, they get hit with the prompt again.

In fact I’d like that to happen for all permissions, so I regularly review them, and I know when an app update has occurred.
I wouldn't read too much into that, every tech company wanting to IPO in 2024 has to satisfy clueless investors with talk about their AI strategy. If this was 15 years ago they would be talking about investing to 'harness the efficiencies of the cloud' or something...
In the finance industry this is required by regulation for many types of phone/video calls.
We only have to assume that our legal system will do it's job.
Personally, I think the government has a weak case. No customers are being harmed by Apple's restrictions and there is certainly no monopoly.
What rule?
Except for the weird dogs. "A deepness in the sky" is the epitome for me.
There are plenty of alternatives you could find on [1] in the context of fantasy console, almost all of them, oss or proprietary, active or dormant. And honestly many of them were inspired by PICO-8.

Disclaimer: I'm one of the contributors of the list of [2].

[1]: https://github.com/paladin-t/fantasy

[2]: https://github.com/pico-8/awesome-PICO-8
You can reverse engineer probabilities (or P-words if you don't want to call them that) from the bets you would make. Obviously there's a problem there if everyone's dead, but they don't have to be literal bets. Someone could estimate your P-word of doom by what you say and how you think about things/act. The article argues that it's fine for you to just come out and say it.
Square one is Apple preventing users to communicate with android, to leverage phone sales.

Square two would be having an iMessage for Android, or at least not preventing someone else to do it. (Hello, Beeper?)

Square three would be to interact with other chat applications across platforms. iMessage to and from Signal, wechat, telegram, etc.
Web Clipper
> “You’ll be shocked by the stark differences in behavior of women in places where women are plentiful versus their behavior within artillery distance of San Jose and San Francisco,” Shewchuk said in the post.

So, he basically all he said the Bay Area is a sausage fest?
Also I should say it isn't just instructional complexity, it is ambiguity which creates the upper limit on capability.
Are these models high risk because of their lack of interpratability? Specialized models like temporal fusion transformers attempt to solve this but in practice I'm seeing folks torn apart when defending transformers against model risk committees within organizations that are mature enough to have them.
The tokens are also necessary to store information, or at least off-load it from neuron activations.

E.g. if you asked an LLM "think about X and then do Y", if the "think X" part is silent, the LLM has a high chance of:

a) just not doing that, or

b) thinking about it but then forgetting, because the capacity of 'RAM' or neuron activations is unknown but probably less than a few tokens.

Actually, has anyone tried to measure how much non-context data (i.e. new data generated from context data) a LLM can keep "in memory" without writing it down?
> They get paid for it. Don't try to spin this as if it's someone people working on it in their spare time out of the goodness of their heart. It's just their job.

I know devs doing exactly this today. Devs who when the actions of their employer would have forced them to diverge from being able to do so, stuck to their convictions so much that they chose to terminate that employet contract so they could continue to do exactly that "in their spare time out of the goodness of their heart."

I will fully admit that I am not that kind of individual, I lack the capacity to contribute meaningfully in that way, but there are certainly many out there in our industry who are.
Also, macOS has like 13% market share vs 60% for iOS - in USA.
The creator's devlog about the gameplay loop in this game[0] was previously on HN[1]

[0]: https://dukope.itch.io/mars-after-midnight/devlog/495856/gam...

[1]: https://news.ycombinator.com/item?id=35057346
That is still more or less voluntary manual recording, sprinkled with micro management vibes.

What's at stake here is systematic and transparent recording of all video and audio conversation.

Does it exist? Does ms teams for example has an enterprise feature available to record and archive everything without the meeting organizer activating the recording explicitly?
Rails Guides has a new redesign
In addition to sharpening focus, this really helps leadership know how to place more wood behind fewer arrows ;)
> Where I'm from already 10+ years ago every single person you know would have a WhatsApp account.

It's the same with payment system. I hear that bank to bank transfer is still a big pain in the US and that check payment is prevalent there.
Douglas Adams: Parrots, the Universe and Everything (2001) [video]
Yes !

I was eyeing at one, Dell also have some, but both only had FHD screens. Asus has the Z13 line with higher end specs (in particular discrete GPU options), but sadly less accessory compatibility than the Surface Po line.

Lenovo has been doing a lot work on their laptop lines recently, a new X12 with a refreshed screen would be a super nice machine.
Interesting

what if I am not familiar with SQL but would like to leverage this tool more smoothly?
The 70's are my favorite as well (born in the 80's).
I second that. Re-read it multiple times and enjoyed every minute and every page. The creative concepts making up this book such as localizers/smart dust or the Focus captivated by their plausibility, and the unsolved mystery of the onOff bothered me as much as it did Pham Nuwen.

R.I.P. dear friend, you will be missed and remembered.
Just checked this channel and it seems an awesome one to learn in depth about this topic! Thank you for the recommendation.
Death to the Invincible Engineer
Companies understand only one language: lawyers. Though expensive, it is very effective.
Nushell is really good but the learning curve is massive.

I've been on nushell for almost a year now and still struggle to put more complex commands together. The docs are huge but not very good and the community resources are very limited (it's on Dicord smh) unfortunately. So, if anyone wants to get into it you really need to put down few days to understand the whole syntax suite but it's worth it!
I was going to write pretty much this exact same comment. I am an amateur in how LLMs work, definitely, but I always thought this was the plausible explanation.

If I want the "assistant "LLM to tell me "How much 5 times 2 is", if I feed it the line "5 * 2 = " as if it's already started giving that answer, it will very likely write 5*2 = 10.

Since LLMs operate on semantic relationships between tokens, the more a bunch of tokens are "close" to a given "semantic topic", the more the LLM will keep outputting tokens in that topic. It's the reason why if you ask an LLM to "review and grade poetry", eventually it starts saying the same thing even about rather different poems -- the output is so filled with the same words, that it just keeps repeating them.

Another example:

If I ask the LLM to solve me a riddle, just by itself, the LLM may get it wrong. If, however, I start the answer, unravelling a tiny bit of the problem it will very likely give the right answer, as if it's been "guided" onto the right "problem space".

By getting LLMs to "say" how they are going to solve things and checking for errors, each words basically tugs onto the next one, honing in on the correct solution.

In other words:

If an LLM has to answer a question -- any question --, but right after we ask the question we "populate" its answer with some text, what text is more likely to make the LLM answer incorrectly?

- Gibberish nonsense

- Something logical and related to the problem?

Evidently, the more gibberish we give to it, the more likely it is to get it wrong, since we're moving away from the "island of relevant semantic meaning", so to speak. So if we just get the LLM to feed itself more relevant tokens, it automatically guides itself to a better answer. It's kind of like there's an "objective, ideal" sequence of tokens, and it can work as an attractor. The more the LLM outputs words, the more it gets attracted to that sequence...that...."island of relevant semantic meaning".

But, again, I know nothing of this. This is just how I view it, conceptually. It's probably very wrong.
Did you check the `zotero-better-notes`? [1]

> LaTex math in Zotero note is no longer a dream. The `zotero-better-notes` addon now supports this feature!

[1]: https://github.com/windingwind/zotero-better-notes
I think you're right. I would go a step further and say that all learning is roughly synonymous with reducing the output space, and that humans do the exact same thing. There are more ways to get the wrong answer to a math problem than there are to get the right answer. When you learn someone's name, you're narrowing your output to be a single name rather than all plausible names.

The output of a generative model is practically infinite. I suspect it's possible to continually narrow the space of completions and never converge on a single output. If this turns out to be true, it would bode well for the scalability of few-shot learning.
Did you miss the list of Apple products that were not winning earlier in the thread?
Thats right, I forgot about Nau’s enforcer (whose name escapes me atm).

Anyway I think the point remains - after that point, the reader is meant to understand that the emergents self-serving justifications are just that.
I search for “$topic forum” or “$topic community” and there will typically be something in the first 10 results. There is a little trial and error involved, I check which one of the forums has been around for a while (10+ years works best for me) and still has regular activity (message volume + last posted messages)

Sometimes it ends up being a discord chat as this is very popular. Not ideal as I don’t love the discord walled garden but still better than Reddit. And if/when they pull a Reddit in the future, well, I’ll cross that bridge when I get to it.

I should add that in getting much better results for these queries since switching to kagi. Ddg and startpage had more spam/SEO/generated junk in the top results. It was more effort to find these communities on those but not impossible either.
The US govt would never ever bar the worlds largest, most profitable public company from operating in the US. That's ridiculous and nowhere in the Request For Relief that I just read: https://s3.documentcloud.org/documents/24492020/doj-apple-an...

It basically boils down to: stop doing the bad things and pay a fine. The fine being an amount equal to it's costs for bringing the suit, pennies on the dollar next to the dollars Apple made.

There is no incentive to change future behavior here. When the govt broke up AT&T's monopoly, there was an incentive to change behavior. Since then it's weakly enforced "fines" that do nothing to curtail future monopolistic behavior.

I imagine this will happen: Some of this will stick, but it will be stuff Apple has already promised (like adopting RCS) and they will pay a small(to them) fine and will continue on business as usual with no actual changes being made, just like all the other lawsuits of this type the US govt has done in the last few decades. Some people will feel better I suppose, even though absolutely nothing of substance will have changed.
Here's what I do using Chrome (b/c youtube nerfs Firefox by throttling it)

Add these extensions:

Unhook - Hide youtube recommendations and other garbage

Clear Skies - Ad skipper

Ah.. youtube is usable again
> I was only saying that the license change affects quite some people.

Affects them how?

The number of businesses providing managed redis is very small, isn't it?
Careful, it will leak your real name. It's no good for anonymous sharing.
I had a colleague at Google who used to say: "The best thing about R is that is was created by statisticians. The worst thing about R was that it was created by statisticians."
When you ask what data should be paying attention to, that should be depends on your objective. Do you want to predict something? Identify anomalies? In the end, what matters is understanding the meaning and relations of these data, rather than throwing them in to some ML framework and hoping to get something out.
Oh, for sure. "Hard drugs" classification makes sense for cocaine, heroin, fentanyl, but not for psychedelics.
Eating Plants
The Pico-8 is great, but https://tic80.com/ is really cool too.
Some of the time. On Android and with Kotlin Native you don't. (IIRC there may also be a browser target?)
The statement "AGI in X years/months" has been around since I started programming 55 years ago. Though back then it was just "AI".

Search on "AI winter" to get a feel for how far back this overhype followed by disillusion cycle goes.
I meant "subsidy" in a more general sense. All goods will be more expensive. More people will be in poverty

Imagine how much more expensive everything would be, and now imagine the cumulative amount of money that represents. Money that could be used to fund education or improve people's lives, or even build armaments if you really are worried about the commies. You're in effect paying an huge "tax"/premium indefinitely for a threat that's very theoretical. In so doing youre seriously slowing down the rate of progress and prosperity

But that goes a bit away from the original point. That even if you want to have a self reliant north Korean model for the economy, chips are not a sensible place to start. You'd probably want your local hospital to be able to run without anything made in China. Going back to 22nm (circa 2014 tech) would be a minor annoyance.
Blind was running a promoted/ad about this on LinkedIn today.

What would be good for the industry would be to see Glassdoor totally wiped out over this. It can't be via reputation alone, since Yelp is still around. But it could be via lawsuits.
Anyone else have the page randomly scroll to the bottom and offer a capacha challenge while you were trying to read this?
Yup and looks like SSD upgrade from 256 to 512 is just $100.
Why being respectful to your coworkers is good for business [video]
I want to point out a tweet [1] that is very relevant to the miracle of CoT, and probably a simpler explanation.

> Let's think "step by step"!

> Another tidbit I like about data and prompts that miraculously work.
> Searching for this phrase resulted in this website (among others),
> http://geteasysolution.com, containing many math step-by-step solutions.
> How common are they? Quite.

> Makes you think.

[1]: https://twitter.com/yanaiela/status/1765077404043952516
>This is not a situation that warrants governmental intervention.

I agree that the government has a weak case - but they can make their case in the court of law. And to another degree in the court of public opinion.

There is a case to be made for constraining the dominant consumer tech company. Consider this hypothetical scenario. A tech company has a one year lead over their competitors because their hardware and software is objectively one year ahead. And let's project that every year that lead grows by a couple months. I assume that all would agree that this is a huge threat.

What government oversight and intervention is warranted to address this threat?

In my opinion, all the reasons that the government gave to call Apple a monopoly are just weak rationalizations they've come up with that still hold enough legal validity, and allow them (them being the powers that be who perceive the real long-term threat) to start slowing Apple down.
Reddit still makes me incredibly sad. I loved it. I was there for the first secret santa exchange and all of the historic events and it was amazing. It trully was a unique community and platform. Now it has been completely destroyed. Sadness.
Mega massive class action in 3 … 2 …
Coworker didn't go to the dentist for 30 years. Then needed a bunch of dental work to clear out a chronic infection before he could have surgery to replace a damaged heart valve. I'd heard that infections can spread from gums to your heart. This is the first case I've seen in the wild where that happened.
> Have you tried running Linux natively on a secureboot Surface?

You can turn off secureboot quite easily: https://parinzee.github.io/linux-surface-overlay/docs/Instal...
Well Braid came out in like 2008, and it was not obvious to me as a noob game dev when I first read it.

... It does seem real obvious _now_
America's Magical Thinking about Housing
Thanks!

We're different in a couple of ways:

- You don't need SQL to transform and manipulate data in Pretzel - we have visual blocks where you can construct a transform chain (though we do support manual SQL blocks now!)

- We have better CSV parsing (I spent a fair bit of time on this!). See one of our test case CSVs here that breaks (https://imgur.com/a/O8XMfET)

- We allow plotting!

- We support PRQL - which IMO is a better way to build data pipelines (but we also support SQL)

- We have AI Blocks! You can use your API keys (or our server) to get SQL from text which you can edit

- We're currently adding support for Python via Pyodide (pyodide.org) so you can do complex data transforms, even train simple ML models right inside the browser!

- Lastly, we'll be adding a ton more features to Pretzel over the coming months (many of them have been asked for in this thread actually!)

Support for multiple files is crucial - we'll be adding that soon. Right now, we're rethinking our whole task execution architecture so any major features will have to wait until then.
I've got your list saved in my notes :) The main thing is many of these are, well, ngrok alternatives: put my localhost on the internet. I am looking for something that puts remote ports into my local machine, and in particular which don't require configuring network interfaces (insecure to do in Docker containers) and don't require a centralized control plane.
Completely agree with you.

My circle & I have stopped reddit on phone almost completely.

So many active posters have left reddit, that it is a shell of what it previously was. Some of my favorite subreddits have become inactive and shallower, to the point that admins are actively boosting up alternate subreddits

From what I can gather, the large majority of the remaining active users in the site are people who use reddit as alternative to 9Gag & Porn sites - prolly hyperbole, but that is what the new r/all felt like
Not possible. require() is broken by design by being synchronous.