skysight-inc/HackerNews huggingface dataset:
Search engines seem to really fail here, they are just giving me more guides like the one here, I can not get them to give me anything about narrative voice beyond conflations of narrative voice and tone. You can see this use in a great deal of literature which uses the em-dash to introduce dialog in place of quotes, I believe Becket would apply but it has been years since I have read him so can not say for certain. Most of the authors known for their long complex sentences follow the conventions I outlined in my edit even if they do not use the em-dash for dialog.

>sounds rather restrictive and specific, to be honest.

Write a single sentence which clearly and concisely includes exposition, thought, aside, rhetorical question, self rebuttal and conclusion without following the "standard" I included in my edit. This is what allows writers like James, Joyce, Gass, Gaddis, Wallace, Pynchon, etc to write their wonderfully long and complex sentences and by complex I am referring too meaning as much as structure, we can have great meaning with simple structures but we have to accept a certain amount of ambiguity with that. Sure that challenge can be executed as a paragraph but then it ceases being a single thought, it is a collection of thoughts and that is a very different thing.
HelloFresh have outlived many others but they aren’t long for this world either. They’re still spending huge amounts of money on marketing which isn’t converting to long term customers.

There’s definitely a market for these type of food boxes but it’s a much smaller market than HelloFresh etc. require to sustain the size of company they’ve built.

https://ir.hellofreshgroup.com/websites/hellofresh/English/3...
I used Azlo before Mercury, which was very similar... a wrapper around a bank. Mercury is way better. When Azlo closed they gave a month's notice and required every customer transfer their money out.
There are countless ML algorithms good for classification, no need for LLMs.

But the problem is on how you feed data into them. Some websites are vast depots of pretty different type of texts spanning a huge number of domains. If you use data from /r/programming you will classify Reddit as a programming website. If you use data from /r/food you will classify it as a culinary website.

Some websites like Pinterest or dailymotion are media heavy, so using just text might not be helpful.

What I want to say is that actual classification is the last problem to solve, the problem is feeding relevant data into it.
Even if Google AdSense forbids adult content in its terms and conditions, what can Google's algorithm do when that content comes through an ad network? Nothing at all. I've seen it many times: famous companies like BMW advertising next to porn. It's a strange world we live in.
Oh so there's no memory, just recallable history.

Oh so it's not learning by example, it's just primed by a sample.

Oh so there's no iteration of thought, just a loop of prediction.

OK.

Also, the papers you asked about:
https://news.ycombinator.com/item?id=35115563

BTW, people are already implementing recursive/iterative queries on the ChatGPT API, and getting promising results.
Private offices are of course better, and anywhere I've worked the norm has been to be open door unless there's some specific reason to close it. But, yeah, cubicles > open office though I've been pretty much remote for years now even if I theoretically had a desk in an office.
PeopleDAO “exploited” by Google Docs edit
IMO Chomsky (and Marcus) are mostly wrong on LLMs. Quoting the summary of a post[1] I wrote recently:

- LLMs are sometimes said to be “just” shallow pattern matchers, “just” massive look-up tables or “just” autocomplete engines. These comparisons amount to a form of (methodological) reductionism. While there’s some truth to them, I think they smuggle in corollaries that are either false or at least not obviously true.

- For example, they seem to imply that what LLMs are doing amounts merely to rote memorisation and/or clever parlour tricks, and that they cannot generalise to out-of-distribution data. In fact, there’s empirical evidence that suggests that LLMs can learn general algorithms and can contain and use representations of the world similar to those we use.

- They also seem to suggest that LLMs merely optimise for success on next-token prediction. It’s true that LLMs are (mostly) trained on next-token prediction, and it’s true that this profoundly shapes their output, but we don’t know whether this is how they actually function. We also don’t know what sorts of advanced capabilities can or cannot arise when you train on next-token prediction.

- So there’s reason to be cautious when thinking about LLMs. In particular, I think, caution should be exercised (1) when making predictions about what LLMs will or will not in future be capable of and (2) when assuming that such-and-such a thing must or cannot possibly happen inside an LLM.

https://www.erichgrunewald.com/posts/against-llm-reductionis...
Or...How to turn everybody into a Socialist in minutes...

"Investors implore the government to step in after Silicon Valley Bank failure" - https://www.cnbc.com/2023/03/11/silicon-valley-bank-failure-...
I mean it works to a point with some Kickstarter projects, or later in development, early access releases. But I don't trust it at all with things like this.
One might argue that this comment is simply predicting the next word based on a past model.
The oldest privesc: injecting careless administrators' using TTY pushback
12/700 over 10 years is absolutely shit profit.

If I go unemployed for a few months and can't pay my house [1], unfortunately there's nobody to bail me out. I'll lose the house and go homeless, notwithstanding the fact that I'd be willing to pay that 1.5% interest over 10 years for a liquidity bailout for myself during those times. Unfortunately I'm not too-big-to-fail.

[1] Ironically, in the downturn caused by those very same companies we're talking about.
London High Street Banks Given 24 Hours to Rescue Silicon Valley Bank UK
Investors privatizing profits and socializing losses is a feature of capitalism, not socialism.
Ridiculous
Shameful
No need for AWS IAM users
> none of the regulatory frameworks even take interest rate risk into account

This is false. The Fed’s stress tests and Basel III specifically measure duration.
W. C. Handy
Garry, are you going to allocate some shares of each of the companies to some public purpose in exchange for the gift you are requesting?
Is it designed like that for style or aerodynamics though?

I mean used bars of soap are really slippery.
Vladimir Putin is a trained lawyer and former member of the IC that lost Cold War 1.0
Don’t sell yourself short! (And you have my apologies in advance if my excited comment above has created any extra work for you)
I worked for an "old-fashioned" engineering corporation.

Their Shinagawa headquarters was in a huge building, with many floors. It was considered one of the better work environments.

Each floor was basically a very large room, on either side of the central elevator column, which would bisect the building.

The room usually extended from the elevators, to the windows, and there was a lot of light. You didn't have offices against the glass, like you do, in the US.

The ceilings were high, and used acoustic tiles, with fluorescent lighting panels.

There would be dozens of desks, in each room, arranged in parallel rows, with a "row," consisting of fairly small, uniform, sitting desks, back to back (so each engineer was facing towards another one, on the other side).

These rows would extend from the windows, towards the central column. There would be an aisle, at each end, perpendicular to the rows. Each row would have a fairly wide aisle, separating it from the next row.

At the window end of each row, would be a slightly larger desk, set against the last two desks of the row, so the occupant faced the row. That would be the manager's desk.

The higher-ups, would have desks behind the managers. They would be closest to the windows.

Separators were generally file cabinets. Partitions were used for informal meeting areas. The central column would have enclosed meeting rooms, and they had two floors, completely dedicated to meeting rooms (the Japanese love meetings).

What's wild, is how quiet these offices are. Hundreds of people, packed together, and very little noise. I think the interior design has a lot of acoustic absorbency, as well.

[UPDATED] That article is pretty much spot-on.

> my shoes were too noisy

The Japanese generally have "office shoes," which can be a pair of slipper-like shoes, usually slip-on. They exchange their regular shoes, for these.

My company's offices were carpeted, so you didn't get clacking of shoes.
Don't get me wrong, I think the situation with public transport is vastly better in (western) Europe compared to North America, for a variety of reasons, a major one being that especially in NL almost every street has a double-laned bike path next to it. It really does make a difference to have that infrastructure in place, because people use it and this has major lifestyle and health benefits.

But a claim that some majority of people can just bike 10 or 20 minutes to the office was just a bit wild considering my experience living here in NL and taking the train so often. Having said that, it is true that I can bike anywhere in the city I live in within half an hour, and I don't own a car because I can get anywhere by bike or train. The fact that I can do these things allows me to work in another city, instead of being bound to live in a certain restricted location, without even owning a car.

But many people do drive, don't be confused. There are times when it would be really convenient to use a car, and I would be using a car sharing service if it weren't for the fact that my license is not valid here and I need to pass tests which is a long process.
This is way too much pedantry and hyper-hyphen-focus. Honestly, I don't care about endashes or emdashes. I've never seen them in business or personal writing, and I probably never will. They add nothing to anyone's communications.

Perhaps, typesetting still uses these, but that's okay. They can keep doing so, since these probably add aesthetic appeal to how flyers are designed.

I also noticed a pundit-battle brewing in the depths of the hyphen-m&ndash-soup.

The article:

Let’s make that even more clear.
THE EN DASH IS ABOUT AS WIDE AS AN UPPERCASE N; THE EM DASH IS
AS WIDE AS AN M.

Yet, from another dash-hyphen pundit... [1]

En and em dashes aren’t called that because they’re as wide as
a lowercase “n” and a lowercase “m.” They’re called that
because those are the specific typography jargon words that
refer to the height of a physical piece of type (the “em,”
also called the “mutton” to reduce confusion) and half that
height (the “en,” also called the “nut”). An em dash was
originally as wide as the font is tall.

[1] https://leffcommunications.com/2021/03/10/a-brief-history-of...
> I noticed that my Google interview process was way more involved in reverse engineering

I had such a question at Google. I guessed what was the problem they were trying to solve as it was a classic leetcode question (linking nodes in a tree while traversing it). So while the format is a bit different than typical leetcode solving, I'd say it's still the same type of skills and preparation involved (at least in my case).
A vaguely interesting discussion on cathedrals, certainly no 'Window into the Medieval Mind'
No, warning readers that Chomsky may be under usual smear campaign.
Vim Best Practices For IDE Users (48 min read)
That's how every bank works?
I think this shows is really the balance between potential salary increases from switching jobs / cost reduction or improved quality of life vs. tolerable commuting distance. Improving transit will not make a huge dent in this; instead it offers people more flexibility in where to live and work. First if/when you have relative parity in job opportunities and cost of living across a large region can you really hope to make much of a dent in average commuting times.
> We use cookies to improve your experience on our website. By visiting this website, you agree to the use of cookies. You can disable cookies at any time by changing your browser settings. To learn more about how we use cookies, please see our Cookie Policy.

Why do US companies seem to think this sort of shit is okay? This approach to cookies that are not technically required for the site's basic functionality is absolutely not okay.
Ask HN: Kernel Level Garbage Collector
I see that more and more programming languages can be AOT compiled into native code and are garbage collected. Examples: Go, C#/.NET, Nim, Java.

I wonder if implementing a garbage collector at system level in the kernel an letting those languages using that instead of each providing its own garbage collector might result in better performance.
This is what I don't understand about the conversation online. What you described (what I've heard is likely to happen) isn't a bailout. Yet many people are talking about this being a bailout.

In this scenario, SVB shareholders would eat the loss, no?
I don't want to dunk on a single out-of-context quote, and I'm sure that Mr. Tetzchner fully understands what I'm about to type as he seems like a brilliant guy. But blaming the current miasma on "advertisers" is so short-sighted.

The reason why everything is ruined by advertising is because nearly everybody expects content to be free to the end user on the internet. The money has to come from somewhere, so advertising it is.

Why does everybody want everything to be free? That's a more interesting question.

Is it because years of free broadcast television and radio conditioned us to expect everything to be ad-supported and "free?"

Is it because everything was sort of "free by default" in the early days of the internet because we hadn't worked out payment systems and such?
I think they mean "categorize" instead of "classify". That is, they are looking for some form of unsupervised clustering.

In that case, I agree that LLMs are not the solution in and of themselves, but the word/sentence/documents embeddings obtained from the inner layers thereof might actually be useful. Back when BERT came out, the team I was on at the time had pretty good results using BERT-derived sentence vectors for a machine learning project.
I believe Mazda is one of the few brands still sticking to physical buttons. I do think / hope that the touch screen thing is a temporary thing though. Probably not because it's cheaper to manufacture and install, lowers the amount of parts in a car and opens up future updates, e.g. to show ads.
Now the post is flagged?
> SVB would have passed stress tests because they did what all banks were supposed to do

No, they wouldn’t. SVB’s duration would have triggered noncompliance with Fed stress tests and Basel III.

If SVB were solvent, they could have borrowed at the Fed’s discount window.
Maybe instead of avoiding questions in replies and adding an “Edit” merely to trade insults, you can educate us on why JPM Chase won’t accept cash deposits from startups, and we can learn something. However I’m not holding my breath for insights when startup cash deposits and subprime mortgages are “similar” “bad risks” to you. They have no similarity at all.

Just for the record JPM Chase absolutely does bank startups. https://www.jpmorgan.com/commercial-banking/startups
DeepNotes: Open-source, end-to-end encrypted visual note-taking tool
With YC’s deep and broad connections in the VC, tech company, and ultra high net worth communities why doesn’t it organize a private bailout instead of asking for a handout?
However, is NL (e.g.) healthcare that much worse compared to SE?
Yeah they can all burn
Great Scott. Or considering that it's the Alpha 5, Ay-yi-yi-yi!
Hacker News is kind of ad based. Via the "Company X (YC YYYY) is hiring" posts.

How does the community feel about this?

Could this type of "native advertising" be a model for other websites too?

On the one hand, it so much less annoying than a colorful, animated javascript banner loaded from a 3rd party server. On the other hand, I have the feeling these little lines of text get noticed more due to not being filtered by "banner blindness".
It wasn’t theirs to give, though.
> No more Apple for me.

It would be great if there were a competitor with equal hardware and software, but there isn’t that I’ve seen.
We're a Canadian company making hiring software using Go, Svelte and Typescript. We offer fully remote positions. I'm not the founder or hiring-person, but I will reply to your emails if you ask other questions. Coincidentally, we actually make a product that aims to get rid of the whole hiring, ghosting, no-reply, 7 rounds of interviews shenanigans; which is a problem a lot of people seem to be mentioning here.
I never heard about the "Deppen Leerzeichen" in the context of punctuation, but always when German texts split up compound words with a space for no reason.
amusing to see this on a page completely plastered with advertisements
Although not exactly that, here's a telegram bot I made with a bunch of features related to notifications from HN: https://github.com/lawxls/HackerNews-Alerts-Bot

Maybe I'll add such notifications in the future
Well, this is a YC website after all, and this post doesn't seem to go according to plan.
Or whoever is Commodore these days.
Wrong. They bought long term treasuries. Why? Who knows.

Any entry-level CFO/CRO knows they should've done either of:

- <=2y treasuries
- some kind of money market account at a larger institution
- or at the very least get a rate swap to cover for rate hikes

None of that was done. CEO was at SF Fed board. CRO was ex NY Fed. They know this. Why did this happen?
That's the basis for a search engine.

There are plenty of ways : For example you can render the home page of a website to an image. Then run CLIP to get a feature vector. Then use some approximate near neighbor search library like FAISS or HNSWlib to index it.

Or you can ask ChatGPT, or a neural network to summarize the webpages into a short description and then into feature vector. Old school approach are things like bags of words for document classification. Then you run a hierarchical clustering algorithm (something like hierarchical k-means). This will allow to present things that are similar but not-so-similar that they are duplicates.

Interesting distances between websites are often described by considering which other websites they links to and what other websites link to them. Graph Neural Network allow to build a feature vector based on these links between websites. This is also related to the well known Page Rank algorithm.

Finally gathering metadata about websites can also be an interesting axis of similarity : Who owns the site ? How often do they update ? How much money they generate ? How do they generate money ? How big is it ? How fast do they render ? What do people think about the site ? Basically answering the 5Ws about the website and building a database about it, and LLM can help answer those questions automatically (You do a web-search about the site summarize the results, put them in the context of the LLM, and ask the question in a prompt and index the answer.
Of course, when you're forced to pick a bank, and you're forced to stay in that bank because it's a nightmare to move banks, and you're forced to pick the largest banks because only they are too big to fail, there is no point doing any due diligence.

If you banked directly at the Fed, or with crypto, then moving some of your money to a bank would actually be a choice. And the entire incentive structure would shift accordingly.

They have no incentive to change. They are given a government backed mandate to be your only choice. Given those privileges, it's their incentives to abuse them. They have been continuously abusing them for years. It's not only risk, it's the interest rates they give customers. They get to arbitrarily pick and choose their friends to get good interest rate while you get trash.

They get to do all of this because they are protected with innocent people as meat shields. Meat shields that have no other choice but to protect these people from consequences.
This was indeed the specific regulation that would have stopped SVB's books from being allowed to get into its present state, yes. It was a Basel III requirement after the 2008 financial crisis.
As far as I know, Scott Aaronson has been on leave from UT Austin to work on theoretical foundations of AI safety at OpenAI since June 2022: https://scottaaronson.blog/?p=6484
> hooks form part of the input to the hook/render function.

They are input, but they are not input parameters.

A function is pure if it returns same result for same input parameters. Hooks make it possible to return different result for same input parameters, therefore making the function impure.
I work in a bank and you're laughably wrong. Computers are at best assisting in the lending process but more realistically they're completely ignored. There is NO AI (at least recognizably, you could argue that there's some sort of very simple expert model embedded in the 10 credit limits) involved in the process at all.

Out lending process is based on the judgment of a few specific individuals, with more involved clients requiring approval from more senior people. All steps of that process can be overturned by the overseeing person, and that person is accountable for their decision.
Antimatter Dimensions – a surprising addictive game
Not sure if i'm allowed to pst this. If not, please delete. But this game got me addicted. It's a not-so-simple game to get into the high numbers.
Setup Git Hosting
I’ve done this by using word vectorisation, and using nearest neighbour. At least assuming the content is key, not the design and/or other visuals.
This is interesting. Ngrok also released a go library recently allowing you to use it directly inside of API. Loving the direction for all these tunnel technologies. I wish there was a simple open source and self hosted version of this.
> spinning LPs give off carcinogenic gas

Only in California
Indeed... One could merrily say that thoust's pox-ridden appendige was verily emitting the most foul and sulphorous odor such that it would make lucifer him very self spew and splutter in disgust... (edit in case not clear - I don't mean you obviously !)

My mind goes to even worse insults but....