skysight-inc/HackerNews huggingface dataset:
Are you giving it multiple paragraphs to translate at once so that it has enough context for a good translation? If so, would you mind sharing a sample input and output that you found unsatisfactory?

In "Can GPT-4 translate literature?" (Mar 18, 2023) [https://youtu.be/5KKDCp3OaMo?t=377], Tom Gally, a former professional translator and current professor at the University of Tokyo, said:

> …the point is, to my eye at least, the the basic quality of the translation [from Japanese to English] is as good as a human might do, and with some relatively mild editing by a sensitive human editor, it could be turned into a novel that would be readable and enjoyable.
Remember the explosion of front-end tools no one uses anymore?

They usually follow the pattern of 3 seconds of hype followed by 10 years of digging out a mountain of technical debt from some asshole who has since moved on.
Someone linked this on the top

https://rmondello.com/passwords-shortcut/

You should be add this to home-screen like an app. Should make it a bit easier open passwords.
Just because there's some bad stuff out there doesn't mean that opening the flood gates to higher amounts of more advanced bad stuff is acceptable. It's absolutely reasonable to look at a new technology and try to figure out if it is likely to bring about more harm than good and take action based on that assessment.
I often find it faster to write something from scratch rather than to work with someone else’s code to fix it. In the latter case I need to understand the intent, the whys behind the choices.

Well guess what, LLM-generated code is someone else’s code: an amalgamation derived from many peoples’ code. Except those people are ‘helpfully’ “abstracted away” from you by the middleman, so you can’t know their original intents and choices. What’s worse, it’s someone else’s code that will be treated as your code—unlike working with a legacy system that everyone knows was written by some guy, in this case any bugs will be squarely on you.
They should be similar. They are the two largest surviving Semitic languages left.
Good read. I know that because it's confusing...

I'm curious how banks like Amex and such provide interest comparable to the Fed rate. Less profit, or higher risk?
Tardigrades.
given widespread stories of how Copilot development was done on a skeleton team (like 6 pple at launch) yes absolutely
My main take away here is that Turkers are terrible at some of these tasks. The "stance" task is, "Classify the tweet as having a positive stance towards Section 230, a negative stance, or a neutral stance.", and the Turkers accuracy was like 20%.

Even in its best task, ChatGPT only got 75% accuracy.
If you know what a dotfile is, it’s there for the same reason.

(Dotfiles are per-user system configuration options written as a file in the user’s home directory. This means that for any system on which that home directory exists, that user’s configuration options will be applied. If the home directory is shared across multiple computers over a network, or if it is backed up from one computer and restored
to another, then that user’s settings will persist.)

If these settings were stored in some other central database then if you copied the macOS folder from one computer to another, your copy tool would have to know how copy the settings as well. Keeping those settings inside the folder itself means that your copy tool only needs to know about copying folders, instead of copying folders and also copying settings.

It’s one of those Unix principles where everything is treated as a file: an elegant technique for a more civilized age.
You can get a normal basket for your Bambino. As long as your grinder is decent, should be fine.
> We have artificial intelligence that is general and above average human intelligence for the vast majority of tasks it can perform.

Even when I give it the benefit of the doubt, this sentence makes no sense to me. Do we have a list of tasks a language model can perform? To the best of my knowledge, they can arguably perform any language task.

> Large enough LLMs crush anything else for any NLP task. and evidently they beat top humans too.

Yes, they are certainly (rightfully) the go-to model for most tasks at this point if your concern is outright performance. Have I indicated otherwise? As for beating “top” humans, I am sure that can be investigated, but it is a fairly nuanced research question. It is inarguable that they are amazingly good though, especially relative to what we had just a few years ago.

> Honestly, this whole "they are not intelligent" argument is becoming ridiculously obtuse.
>
> might as well argue that a plane isn’t a real bird or a car isn’t a real horse.

Which is a claim and argument that I never made – hallucinating? How about you calm down a little and get back on the ground? You are talking to someone that has argued in favour of these kinds of models for about a decade. But that does not mean that I am willing to spout nonsense or lose track of what we know and what we do not yet know.
I see that font a lot at arabic restaurants here in LA.
> If you attempted to bring the government to court to defend your rights, they would simply refuse to admit they collected your information and the court would dismiss the case since there was no way to show harm.

Bought to you by the Supreme Court's 1980s pivot towards "standing" weaselry. A right without a remedy is somehow still a right. That and $5.50 will get you an express bus into Seattle.
but its a super-spell checker in a way.. it does not understand the meaning of the patterns.
Thanks for your feedback! Updated ver 1.1 coming soon with more descriptions and better performance :)
what on earth do you need to convince them apart from gestures at all this
China already earned these loans back, because most of it was used for ... Chinese workers and not local ones. ( Exporting excess Chinese building capacity, because the internal market struggled).

Most of these infrastructure projects weren't needed in the first place and just didn't generate any revenue for those countries.
Yes, land prices in the west are higher, so they have more room to go lower. But they are still far more than other regions. See the percentile graph of house prices by region in this article from a few days ago:

https://www.wsj.com/articles/home-prices-fell-in-february-fo...

The west gets into the $750k+ range before the other regions even enter the $500k to $750k range.
The text of the bill is here

https://www.congress.gov/bill/118th-congress/senate-bill/686...

I started to read it; 1/3 of the way through and I’m not losing any sleep (yet?). I’d like an actual knowledgeable attorney’s point of view; I’ve completely lost trust in what “important tech people” have to say.
> the FED doesn't just "print" money. It creates money ...

Accuse me of cherry picking or paraphrasing to miss the subtlety of the distinction, but the subtlety makes little overall difference, as far as my, admittedly limited, understanding goes. And that snippet just ... works so well.
Mind sharing output ?

I mean i can if you want (chinese though) but enough people lie on the internet.
Isn't the easiest self hostable git server just another copy of the repo in a different location?
Where is the pricing for the API ?

How is that under custom when Eleven Labs and everything else clearly describe the price. Not showing that is an instant reject for me
I guess my surprise is that the machine is only 20x cheaper than the cheapest human available.
Putin is pleased.
Is this an electron app?
As a layperson, "For the First Time, the Fed is Losing Money" as a headline from the Wall Street Journal is concerning. A lot of people are going to see that headline, and read just the first couple of paragraphs - not gonna pay for a subscription - and their takeaway in what they perceive of this economic climate is going to be that the Federal Reserve is on its way to insolvency. It doesn't really matter if that's even possible. Is it possible? I don't know if it is or not.

I agree with the GP that it's a scary headline. I wouldn't call myself hysterical; I'm not hyperventilating or anything.

The issue with the headline is not with people who understand finance, it's with people who don't but know enough to see the WSJ as an authority. They won't notice that it's an opinion piece, and they don't really know enough to understand if this is actually a problem or not.
If no one can find you, then all of your effort is meaningless and you will make $0. That's why SEO exists.

It's impossible for shoestring apps to give Google money. They would fail at being businesses if they funneled money they didn't have to Google.
TikTok can influence the US population in ways the US government can't control and can't do in-kind to China.
yeah but TikTok uses your WiFi, we better ban that instead.
> the counter-party doesn't return the money, the FED losses money

Fed loans are collateralized. So the counterparty has to not return the money and the collateral has to lose more money than the bank has reserves. This would be a credit loss, and the law requires the Fed to avoid it. (It has.) This article is about something else.
2023 Fisker Ocean offers longest range of any electric SUV
You said in another thread it's in "the Microsoft paper" -- could you point me at which one you were referring to? I didn't see it in https://cdn.openai.com/papers/gpt-4.pdf , but it's possible that I missed it.
This is the attitude I recoil from. Some of the technologies you listed --- CI is an example --- earn their keep so well that they're essentially universal best practices (at least for serverside software). But others don't, and you can't use a list that includes, like, "source control" as a way to launder in the idea that Kubernetes is a universal best practice. It is not. It earns its keep in some places and not in others.
Which is to say that there are edge cases like legal texts or other fields where a high level of domain expertise is needed to interpret and translate text. Which most human translators would also not have.

For almost everything else, it seems to produce pretty decent and usable translations, even when used against relatively obscure languages.

I used it a some green landic article that was posted on hn yesterday (about Greenland having gotten rid of daylight saving time). I don't speak a word of that language but the resulting English translation looked like it matched the topic and generally read like correct and sensible English. I can't vouch for the correctness obviously. But I could not spot any weird errors or strange formulations that e.g. Google translate suffers from. That matches my earlier experience trying to get chat gpt to answer in some Dutch dialects, Frysian, Latin, and a few other more obscure outputs. It does all of that. Getting it to use pirate speak is actually quite funny.

The reason that I used Chat GPT for this is that Google translate does not understand greenlandic. Understandable because there are only a few tens of thousands of native speakers of that language and presumably there's not a very large amount of training material in that language.
To be fair, LangChain may be the reprogrammed ChatGPT that we use to fight off Skynet
Realpolitik reciprocity; China bans American social media so turnabout is fair play.
China doesn't allow the US equivalent of TikTok in China, itself.

I think that's a pretty solid argument ...
Yep. I hardly fine a situation where Zig is the best tool to solve the problem. Guess it will fall out of favour with HN readers soon.
I still think we're a long ways off. LLMs can't to my knowledge process a request into a lookup on say an actual database of facts at the moment or parse a request into API actions. So far it's shown it's really really good at continuing a conversation with more text but as far as I understand them there's not a usable comprehension of what's actually being asked and answered.

The point that would say to me the LLM actually has any "understanding" of what it's saying would be when it's able to reliably say "I don't know the answer to that" instead of making up things from scratch. You see that a lot if you ask Bing/Bard "Who is _____?" Most of them are kind of right but a lot of large details are just completely fabricated. A lot of the facts it gets wrong are things Google is already able to produce when queried like where was Person X born or where did they go to school so the fact these LLMs can't slot in actual available facts says to me they're not really going to be that useful with the kind of tasks we've been working on NLP for.
Rocky and Alma are vulnerable to these CVEs too, as is RHEL. As a matter of fact, CentOS Stream 9 already has the fix to one of the CVEs. The rebuilds have to wait for it to show up in RHEL before they can rebuild it.
My passwords are split between iCloud on my Apple stuff and 1Password doing cross-platform duty.

I've been paying for 1Password for a while, but boy that electron app they rolled out with v8 is a clunker… will probably keep paying so long as 1Password 7 works but after that I'm gonna have to figure something else out.
20% means you can beat ChatGPT if you invert the answers!
This is a bad argument.

You are basically admitting that companies need google-level resources to hire dozens (hundreds?) of infra engineers to maintain a K8s-type infra.
Yes. Each time you mention @AI in a thread, all prior mentions of @AI in the same thread, as well as its prior responses (up to the token limit for GPT-3.5) are resubmitted to the OpenAI API, so that it can continue the conversation including prior context.
Are you talking about that utility that looks straight out of Windows 98? Surely it could use some love in 2023. I don’t think I’ve ever seen it updated, it’s not an acceptable UI for consumers.
Good question. I don't remember, though it was probably cheap stuff rather than good quality.
I'm curious what people think about tiktok' plans. They vowed to move data into us soil and have external audits. It came across as actual good faith compromises from my perspective.
I've noticed that with a lot of local (nowhere near Silicon Valley) layoffs too. Very few engineers but lots of product and design roles - even from a purely engineering perspective it's a real shame because in my experience having enough good product and design people around makes engineers feel better about both team collaboration and what they're shipping.

From my experience with multiple companies that have suffered big declines, designers leaving or getting laid off has been a reliable canary in the coal mine signal.

I don't know what is driving this current trend though. Apart from the bug tech giants giving up on their actual products and just focusing on stock prices?
You think the Amish or the early Mormons treated their women better?
My Gaggia would be too slow for a commercial operation, but, if I flip the switch to steam right after the shot, by the time I go to the fridge and pour out 200 ml milk and walk back to the machine, it’s ready to steam.

And, you need to flip the switch back to coffee right after steaming and then run the brew switch to refill the boiler, which pulls the temp down.

I’d still like a PID control with a readout, though.
Cool.

My query was:
How many red numbers are shown in this document?

It said:
"I don't know."

...I'm going to keep playing with it =]
Get out of your echo chamber and look around once in a while.
Don't be so sure it's intentional
Sounds like the fundamental bet here is that design and privacy are meaningful differentiators in this market.

With regard to design, Wavelength's particular, native aesthetic might have a certain kind of emotional appeal to old-school Mac and iOS users (including me), but fundamentally its conversation view works a lot like Discord's, which also supports threads and basic replies. I don't think they're going to win on "quiet" design alone.

In fact, I think their focus on "nativeness" could inhibit feature competitiveness down the line. They'll need to make compromises one way or the other, either tolerating a greater sense of "cacophony" or forgoing features that other platforms support.

Their positioning and followthrough on privacy are strong.

Although Wavelength seems to be well-crafted, I think its success, like the success of many other network-oriented products, is going to largely come down to go-to-market. As an adviser and cheerleader, John gives them meaningful reach, but whether they can capitalize on that reach will depend on whether they can build a compelling enough hook to get people to move from wherever they're having conversations today.
Is it working? Give "Amish abuse" a search in google, limiting people's access to communication can also make it hard for them to get help or to realize that they have access to other options a few miles up the road.
Not on it's own, because the constitution doesn't say "Congress shall make no law that binds US citizens". It says a handful of specific things that Congress cannot do, and without knowing exactly what is being blocked, banned, or spied upon I can't say if it's unconstitutional or not.
What accessibility problems do you think React has? It doesn't make you put onClicks on divs.
I'm all for this, a better cross-platform Keychain app would be awesome.

To get my Credit Card details, I need to go Settings > Safari > AutoFill > Saved Credit Cards.

To get 2FA / Password details, I need to go Settings > Passwords.

In a lot of cases, they auto-fill without issue. But to manage these is a bit of a flimsy process.
oh dear, i am foreseeing prompt writing mechanical turks in the future where their instance of ai got plugins tailored for their industry, task, and datasets.
It’s worse because a US-based MTurker is far from the cheapest human available.
Wanted to make an app using ChatGPT API, where users can play a game of argument/debate and win on AI. But, going into the financials, it seems like it will cost heavily(6.7k) just for 1k active users making 3 arguments per day(capped at 10 per conversation on deciding who won). So, I was ranting out that using ChatGPT for a game is unsustainable, the same idea however can be used to train sales personnel and others in improving their conversational skills.
Step Two[1] also does this, which is one of the reasons I've been using it for TOTP for the past few years. Nice to see that the built-in TOTP support can do that now too.

[1]: https://steptwo.app
Ah yes, my old friend, the "nobody checked the international delivery boxes on Twilio" problem. Just a guess. Congratulations on going international!
Related: If you change the folder icon, Finder will store an "Icon?" file in that folder.

More info here: https://superuser.com/a/298798

My question is: Linux and Mac both have the ability to store key-value pairs on files/folders with xattr. Why did or does Apple continue to use .DS_Store?
It’s not anti-TikTok, its anti privacy. If they explicitly banned TikTok, at least it would have been honest. This is about banning your rights to secure communication.
I can only guess at the motivation behind this question.

"Happy" doesn't describe an innate attribute or constant emotional state. It describes how you or I react to experiences. We can't predict or control everything that affects us, but we can choose how we interpret and react. We call a person "happy" if they seem to take things in stride, find something positive, not get anxious or angry. I think feeling happy, or content, most of the time comes from not expecting the world and the other people in it to behave the way I might like them to or think they should. I can choose not to worry and make myself anxious over things I can't control. I can decide not to let someone manipulate or control my emotional reactions. Everyone can make those decisions.

Buddhism teaches that we all suffer as part of living, and desire causes that suffering. It follows that reducing desire may reduce suffering and lead to contentment and happiness. Someone may desire material things, a romantic partner, friends. Many people desire that other people behave in a certain way, or that the world should treat them fairly. When their desires don't get fulfilled they feel disappointed, anxious, sad, angry.

Absurdism offers the idea that life has no deep meaning, the universe doesn't care about us, and no deity or higher power watches over us and intervenes in our affairs. Some people find that prospect frightening and depressing (thus spiritual beliefs and religion). Others find it freeing and comical -- if we have no purpose we can choose to enjoy our brief lives as much as possible.

A happy person accepts and adapts to what comes their way. They don't indulge in useless emotions like worry, guilt, regret. They change their situation as much as they can to enjoy life more.

Since "happy" describes how a person interprets and reacts to the world, and people who seem happy come from all cultures and traditions and walks of life, I don't think asking what a day, week, or year in such a person's life looks like will give any useful information. You can't make yourself feel happier by brooding over how people you perceive as happy live their lives.
There are 3 stances. But 33% is achievable by chance.
This ex-Amish TikToker is incredible: https://www.tiktok.com/@yodertoter40?_t=8abRVLmk1ra&_r=1
Some of his content is benign, but he also discusses the epidemic of child abuse (including sexual), rampant sexism, and the general cruelty of Amish culture. They have been regularly desecrating his father's grave, who committed suicide due to Amish abuse.
You said NLP is unsolved because we don't have human level artificial intelligence. We absolutely do. at least by any evaluations we can carry out.

no-one wants to call a spade a spade yet but the sentiment is obvious in recent research. directly being called General purpose technologies from the jobs paper, general artificial intelligence from the creativity paper. That last one is particularly funny, they just switched the two words.
We (Americans) used to call it cafe latte in the early days when it was getting popular in the early 90s but we like to optimize and since latte wasn't taken yet, we just chopped off the cafe part. You can see Kramer order a cafe latte in seinfeld and most stores still have it written as cafe latte, especially hipster ones, but we just don't need to specify cafe to get the point across.
Not at all. Bring on the shared family iCloud Note. lol
What language pairs are you talking about? I don't think people realize just how much the difficulty level and the state of technology differ depending on that choice.
https://www.npr.org/2020/01/19/797804404/investigation-into-...

https://www.dailymail.co.uk/femail/article-10861949/amp/Amis...

https://www.typeinvestigations.org/investigation/2020/01/14/...

https://lancasteronline.com/news/hidden-in-plain-sight-domes...
Correct. If you create a new directory in the Terminal and populate it, it won't have a .DS_Store file. The Finder creates .DS_Store when you view the directory in the Finder.
I understand moving to GPT-4 might be cost-prohibitive. Is there a plan to do so?

> Me: @AI What weighs more: a pound of flesh or a Great British Pound?

> AI: They both weigh the same amount, one pound.

> Powered by OpenAI GPT-3.5. Be careful, the bot may be completely wrong. Only messages that mention @AI are visible to the bot in this group.

This kind of reasoning is easy for GPT-4.

It's great to see messengers incorporate AI.

What's your moat here against a GPT Telegram bot?
Capability Based Security is a much richer choice than the simple App Permissions you see on phones, it includes "powerboxes" which replace the Dialog Box your application calls with the same result... only the User picks the file, and the OS enforces the resulting selection (instead of trusting the app to do it)

As far as the user is concerned, it works the same way... but as far as we programmers are concerned, it now makes it impossible to get at files the user doesn't want the program to reach, in a very simple and transparent way.