skysight-inc/HackerNews huggingface dataset:
I created an account, but it appears that the only offered 2FA options are SMS and email; any plans on supporting TOTP?

Also, regarding

> and the Ansible we used is available to them to either carry forward on our systems or for using it as the basis of anything they want to build.

I was expecting to find that behind the login wall, but did not. Is that something that eventually shows up on the "central" dashboard somewhere?

Speaking of that dashboard, I did eventually find the username for the nodes in the tutorial, but the inclusion of `root@` in front of the hostname can make that process a tiny bit smoother
Depends. If they take it out electrically, send it to another bank then it just shows up as debt in a database from bank A to bank B. Cash is dirty and boring nowadays.
These people must have bought these properties sight-unseen by mail or something. Why would you build a house were the beach retreats tens of meters per year?
blockchain means only rich people get to participate.
Census GPT: Query the US census database using natural language
An important cautionary tale to the “I’ll take on the world to save the project” types.

Do you want working the job of 3-4 people while being paid a salary of one to become your baseline, not meeting which would make you an under-performer in the eyes of the management? If not, stop and delegate. If yes, good luck burning out while blocking your own career progression.

I’ve seen this in so many tech companies and with so many well-intentioned engineers. And it always ends sadly. Either in a burn out resignation (worse if the break-up is messy because the company is desperate to keep the “high performer”), or a dead career (even if the engineer can sustain the pace, management won’t want to promote them out of the situation). Or worse, if the engineer becomes stuck in this situation, they will ruin their health through stress, and then the consequences of returning to 1x workload and being an “under-performer” will follow anyway. It can go poorly in so many ways, but only poorly.
That's funny, someone must have given these ai bots an iq test by now. I wonder how it did
Cara Santa Maria also had a cancer run in last year[0]. It seems is was caught about as early as possible and she'll be fine, but still a bit bizarre. I've also personally known 3 women who got kidney cancer in the last 2 years. One was in her late 30's and died within weeks of diagnosis. One had a kidney removed and so far is doing fine, and the last will die of it within months.

https://twitter.com/CaraSantaMaria/status/154449776549699584...
Loans are what drive the economy. I’ve used loans for cars and my home, as have most people in the country. Many people make decisions based on income, and not on cash they already have, as few people have massive accumulated cash wealth.

Loans are not always a bad thing.
You don't NEED an operator, but there are benefits.

If all of your pods have the same scrape settings, there's not much benefit to the operator. But if each pod or set of pods needs custom scrape settings - say different scrape intervals or custom tag re-writes, the operator will let you define each set of scrape configs separately as kubernetes resources. You can store the definitions alongside the resources they scrape instead of having a single large complex config in your prometheus deployement. This would be especially beneficial if you have multiple projects owned by multiple teams, all scraped by the same Prometheus.

Granted I also don't use the operator, but I've looked into it. With complex enough deployments it would simplify things.
I mean voucher codes. Two potential issues:

- somebody else tries many codes, and happens to guess those customer codes

- vendors know the list of codes and abuse them (e.g. redeem at their own booth)
When working on any system: people who built the abstraction layer you're working with - enlightened geniuses; anyone using the abstraction layer you create - literal monkeys. It's a recursive relation that applies across full stack.
That's eaten with icecream in Dr Karl's home country!
This is incorrect.

See the difference between a scene WEB release and a P2P WEB-Rip.

> The landscape of the WEB scene has changed in the last four years.
> Subsequently, the ability to defeat DRM has become ubiquitous.

https://scenerules.org/n.html?id=2020_WDX.nfo
The situation isn't that mysterious or unknowable.

It's English that knows English. Chinese knows Chinese. The essence of grammar is encoded in the grammar itself: recursively.

Imagine the slabs of concrete that make up a sidewalk: between each of the slabs is a crack. Some slabs are shorter than others, so the distance between cracks isn't consistent.

Now imagine you took a string of pictures, each 1ft apart, all the way down the sidewalk, then stitched them together.

You show your friend the pictures. What do they see? A sidewalk.

ChatGPT gets a string of tokens: each token a few characters from the training dataset's text. That text is given in order. The boundaries between tokens are not in the same place as the boundaries between words, but they line up just as neatly.

Now imagine you shuffled the pictures, then stitched them back together. Does it still look like a sidewalk? Close enough. Some cracks are too close together or far apart to make sense, though.

With a handful of pictures, our sidewalk can go forever. And we can look at the original order to see what looks right and what doesn't.

If we avoid placing cracks closer together or farther apart than we saw them in the original, our sidewalk will look pretty good. If we try to repeat the original order, that's even better.

That's what ChatGPT does: it repeats what it knows in the order it has seen. The objects it is repeating are tokens, not words; but you can't tell that from the result.

But repeating text in "semantically familiar order" is how language is structured. Even if we didn't find or recognize words and subjects, we still get their effect, because the language already put that significance into the semantic order.

ChatGPT would be a meaningless continuation of nonsense if it wasn't trained on text that already contains language. But it was! Every token is a handful of meaning, neatly scooped out of a presorted list of semantic data. That order is preserved.

Even if the boundaries are drawn in the wrong place, the result looks just right, and we can see what we want to see.
This… isn’t experimental. While the US Army Corps of Engineers might not have updated their shore protection manual to include “dynamic breakwaters [and beaches]”, we have design formulae to say what size rocks and what thickness of fill you need for your desired steady state* profile. Bonus points because the smaller rocks are significantly cheaper than the large, immobile armor units, and they can even withstand ice floes better if your coast freezes up.

* there will still be seasonal variation based on summer/winter wave patterns and weather.
After coding it with it daily for the past year I can think of very few times I've had to write "clever" TypeScript. And half of those are now solved with TypeScript's new `satisfies` operator :P

The only consistently annoying thing about it is how dumb it plays with JavaScript's built in array methods but it still is sufficiently smart 80% of the time (and the other 15% a simple `as const` does the trick)
Honestly GPT seems so much more amazing than the Chinese room in the sense we see it do language translation at an amazing level... for something that's not a language translator. It's not a Chinese room, it's an every language room.

At this point the entire thought experiment is nearly dead, and I'm expecting that after we see multimodal models evolve that we'll look back and go "yep, that was totally wrong".
Linked paper is available here: https://arxiv.org/abs/2303.04671
FDIC isn’t designed to prevent runs entirely. It designed to prevent runs from having a serious financial impact on retail banking customers, and as such is capped at 250k per depositor per bank.

SVB probably has a disproportionate number of its customers being mid to large businesses, for which FDIC protection isn’t as helpful. So they’re probably more vulnerable to runs than a bank that mostly holds retail customer funds.

I don’t think the FDIC intends to stop every possible bank run, but rather dramatically reduce the number of them and reduce the impact when they happen. I think on that front the FDIC has been enormously successful
This is fantastic. I want to try it just because of the website.

How's the pizza there?
You own a phone whose operating system is given away for free to OEMs made by an adTech company. Why do you think Google distributes Android?
They sold a bunch of treasuries at a loss to raise cash. They also tried to raise cash by selling a few billion in stock.

These aren't the actions of a healthy bank. Of course, their problems are now much much worse as people got wind that the bank was in trouble.
Secretive: Store SSH Keys in the Secure Enclave
Back when it was sold on physical media; CDs, Bluray, DVD or floppy disk. Because it was a physical disk, you were allowed to do whatever you want with that disk. You weren't given the right to copy it and distribute those copies thanks to copyright, but you were allowed to resell your one physical copy due to the first sale doctrine. Hence we can quibble about the definition of "buy software", but we used to be able to do that. It's that the first sale doctrine kinda doesn't apply if you're renting software like a SaaS over the Internet; eg Adobe Photoshop/Creative Cloud.
I don’t think it’s only personal deposits. Corporations, I believe, enjoy FDIC protection up to $250k also. It’s just a much… less impactful amount for the average corporation compared to the average personal depositor
“Your profession is valueless, and you kinky think otherwise because you have an irrational emotional connection to it” is not the incisive, conversation-provoking criticism you seem the think it is.
gpt3 is referred to as davinci-003

chatgpt is what they call got3.5-turbo-0301 (current month checkpoint)

bingGPT is a allegedly finetuned version of gpt3.5 turbo that is better with search results.... microsoft internally calls it prometheus. You may also hear it referred to as Sydney.

i suspect GPT4 is just a bad translation
And extending javascript's built-in objects has been considered bad practice since at least 2007.

Before that point, browser environments were so different that you needed to write code per-browser. Those theoretical concerns didn't really matter since in-practice you were essentially coding the same app in different scripting languages.
So you mean there is no other News app for iOS?

And unless you are running a deGoogled phone, you are still being tracked for ads.
There are many multimodal models that take an existing text only llm and do some visual training. Blip-2, Fromage, prismer and palm-e are examples. Multimodal isn't necessarily multimodality from scratch
Sorry about the bad experience, can you share what errors you ran into? Feel free to email: rauchg@vercel.com

We’ll try to debug by running the demo ourselves in the mean time!
Yes. Absolutely. One of my favorites is this video that shows a robot she built to argue with people on <strike>the Internet</strike> Hacker News. (7 seconds)

https://youtu.be/PJiRijiLwbQ
>ChatGPT would be a meaningless continuation of nonsense if it wasn't trained on text that already contains language

I mean, if you put a child in a room and severely neglect them, you don't get a child that can speak any form of human language, and you'll find they an extremely underdeveloped brain.
It might not be worth the delay to investigate, but it is certainly worth the time and money. If it is an easy win in one case, how do you identify the hard wins?

Perhaps more importantly, you learn the biggest hurdles so that you can address them. For instance, the UK doesn't want its power to be at risk from political instability (more than it is already). That risk can be addressed in part by working with the local population: perhaps you allow for co-located grazing so you're not displacing herders. Perhaps encourage joint projects that also provide local power so that Moroccans benefit from the project (beyond just the ones in power).

What about security? It seems a bit concerning if 8% of UK's power can be knocked out in a single attack. How would you address that?
> It is pointless to deter casual piracy when one "professional" pirate is enough to free the content.

For the piracy scene, sure. It’s irrelevant.

But for normal people the difference is huge. They may not know how to pirate content, where to go to find it, or be willing risk downloading it and getting in trouble (scary FBI warnings and ISP letters).

But once it’s trivial due to the lack of protection it will be all over TikTok and FB and WAY more people will pirate. Those are the people DRM, even light DRM, stop.
...and looked like this.
It's really too early to tell what the long term impact of LLMs will be. I know it's new, and exciting, and so on, but we saw the same hype with VR, with 3D TVs and so on.

It's perhaps unfortunate that the high-profile one is made by a company with AI in the name. This is confusing media, and by extension, non-techies into into using the word "intelligent".

Sure these models pass a Turing test, and they write incredibly well, but they're not intelligent. They're basically a search engine with good grammer.

As humans we consider well-spokeness as a proxy for intelligence. How we mock those who speak broken English - they are clearly not intelligent. By contrast the well spoken person is clearly smart (even if what he says is bullshit to those who actually know.)

So here is a computer that speaks with excellent grammer. Clearly it is intelligent. Clearly it is out to rule the world.

The truth alas is less exotic. By scraping a zillion Web pages, and reading a zillion twitter feeds, it merely parrots what has already been written. Computers used to be good at math (once a sign of intelligence) now they are good at language as well.

Is this useful? Sure. There are lots of places where good writing is important. Is it the next wave of computing? It's too early to tell. I have my doubts, but that I'd likely somewhat fueled by the many waves I've seen on the horizon that were ripples when they got to shore.
bing is definitely not just a finetuned turbo. and microsoft have said as much.
> I paid for Kagi the first moment I was allowed to, and this news soured me on Kagi overnight. Trust is hard to earn back.

Me too. I still have many months of my early-adopter $10 unlimited annual subscription left. I'm going to start drafting my migration plan several months later. I no longer trust them, nor do I want to do business with them anymore.

There's the Bing API price thing yeah. But it's also clear that they're trying to fund their AI experiments. I'm a paid user of OpenAI's GPT-3 API and ChatGPT plus. I routinely ask the GPT family to imagine things for me. But I don't want my search engine to imagine things, even if they're based on search results.

I speculate Kagi knew their target audience won't be happy about paying them for AI things, so they just came up with the whole average monthly search things as a cover...
Sorry, were you in Australia? We haven't had load shedding from a LOR (Lack Of Reserve) event almost ever, and we don't commonly get browouts. That's just lies and FUD. That article is actually just "sometimes the grid operator has to ask aluminium smelters to reduce their demand a bit".

The last major power outages to do with the grid were a couple of years ago here in Queensland when a large coal unit (Callide C unit 4) literally blew up, instantly taking a a bit over 800 MW of generation off the grid. Took like three hours to get large parts of the state back on. A year or so before that there was some minor load shedding in Victoria when two coal plants were down for unexpected maintenance over a heat wave (and I think another one or two tripped out in the heat) - and actually solar and wind from other states helped minimise that. Then there was the big one, where massive storms in South Australia took out transmission lines and a bunch of generators (including some wind farms) tripped off. Of course, despite being caused by the storm destroying transmission lines, the right wing did blame the wind farms for it...
It would be beneficial to have an open mind to the possibility of there being an effect. It serves no purpose to say "I know" when in fact, one does not.

No scientist knows how quantum entanglement works, we don't know how light photosynthesizes in plants, but by some magic we're super-familiar with the macroscopic properties of planets enough to say they're dead rocks/gas?
> They seem to make user experience worse for nothing.

The user experience worse for all of the Linux users who want to watch Netflix on a computer? What percentage of the market do you think that is?
Technically we've only released the first release candidate for 1.9. There's still a few bugs in it, and we'll probably have at least 1 more release candidate before 1.9.0 is released.
I wonder if you could utilize templates to snapshot the DB.
The next big step for coding LLMs will be context window increases, leaked docs have OpenAI pricing for up to 16K I believe, 4x the current maximum. Now you're talking "write a class" instead of this line and maybe sometimes a method
> Does your increase in productivity compared to JavaScript simply come from static typing, or is TypeScript itself the source?

As far as I can tell, TypeScript doesn't add any new features or behavior to JS other than static typing.

If you ask me, of course TS isn't as good as the real deal, but it's darn close and way better than vanilla JS or compilers for other languages that target JS.
They test a lot of websites before introducing new methods. Something somewhere may break but it's very unlikely and this pragmatic approach allows progress.

This is also why the language got Array.prorotype.flat instead of flatten (flatten was breaking an old version of a popular library called Mootools): https://developer.chrome.com/blog/smooshgate/
This one is different because it will pass the threshold of "normality".

Just as we woke up with DALL. E 2 one morning in April 2022 and with ChatGPT one morning in November 2022, one day in the future, perhaps in the next 3-5-10 years, we will wake up with some 5, 10, 100 terabytes of neural weights fully able to drive a car from a single camera under any circumstance, millions of times safer than a perfect human driver ever could.

On that day, which in my view definitely looms in the near future, ~200 million jobs will vanish instantly [1] and hundreds of millions of jobs will be gone forever a few months/years after that. For those 0.7-1.5+ billion people there will be no "alternative careers", not because they won't be able to learn or adapt, although most of them are already tired and sick, but because the system will simply no longer need them, they became not even useless, a burden.

Our current system, no matter how you call it, is socio-pathic, literally: the socius, the fellowship [2], is suffering [3]. The phase transition will come; the question is what we, whoever we are, will do: will we still hold dear the protestant work ethic [4] and believe the probably Los Angeled-invented Chinese fortune cookie message "there is no free lunch" [5] [6], or we will adhere to a metaphysics better suited for a galaxy with trillions of trillions of whatever natural resource we might ever need and enough energy even in our local star to build whatever kind of civilization we would ever want.

[1] Answered by ChatGPT: "According to the International Transport Forum (ITF), there were approximately 107 million commercial vehicles in use worldwide in 2015, which includes trucks, buses, and taxis. This suggests that there are likely many millions of people who earn a living as drivers.

Additionally, the World Bank estimates that the transportation sector, which includes driving, employs approximately 10% of the global workforce."

[2] https://en.wiktionary.org/wiki/socius

[3] https://en.wiktionary.org/wiki/pathos

[4] https://en.wikipedia.org/wiki/The_Protestant_Ethic_and_the_S...

[5] https://en.wikipedia.org/wiki/Fortune_cookie

[6] https://en.wikipedia.org/wiki/There_ain%27t_no_such_thing_as...
Meta is building a decentralized, text-based social network
Yeah, and if you ban blue cars, blue cars will crash less and you'll see more red cars crash.

I specifically said "intentional homicide rate" for a reason, to get ahead of this ridiculous argument that people bring up despite it not holding up or being relevant.

I don't care how the homicide happens, I care that a homicide happened. And despite lots of guns, it doesn't happen a lot in Switzerland compared to the world or even other EU countries. Clearly, guns aren't the problem, the other factors play into it more.
Been using gnucash and it's perfect no nonsense system for for me
Raising the Next Generation of DevRel
Tuition is too high. Might as well learn to code on the Internet.
The BlackBerry KEY2 was great. I was hoping a KEY3 would come out but haven't heard any updates. I recently tried Unihertz and F(x)tec phones but they were both terrible quality (WiFi dropping out and callers intermittently couldn't hear me on a phone call, respectively). For now, I've given up on keyboard phones. Coincidentally, I just bought a Motorola Edge 5G. There wasn't much logic to it: I wanted to be different/hipster, so I didn't just want a Samsung or Pixel. It has been good. The price was good for the quality.
In a previous time I would have sent you to some classics on bubbles and their popping like The Money Game and Supermoney written under the pseudonym Adam Smith and in that time (it seems like forever ago) when people were into crypto there was

https://en.wikipedia.org/wiki/Extraordinary_Popular_Delusion...

but once ChatGPT came out people forgot about NFTs, the "Metaverse" and such.

FAANG employees are hurting (because FAANG has FAANG problems) but it seems most normal employers are struggling to hire, it is not so clear we are in a recession yet.

Inflation is still here and the Fed is talking about raising interest rates and if they do it enough there will be a recession, or at least we think so. An obvious investment choice is

https://www.treasurydirect.gov/savings-bonds/i-bonds/

for money you might want in the next few years, you have a juicy interest rate but it will go up if inflation goes up. I bought a lot of I bonds at the 2000 bubble peak and they did really well even though inflation was under control. Investing in the similar TIPS product as part of a hedge fund made Ray Dialio of Bridgewater a household name.

It is strange how the stock market has done well. People mostly quit trading crypto so the prices have not dropped despite the loss of interest. I am loathe to make any predictions about either.

I think VC firms are pulling back, particularly from money losing boondoggles like Uber. I do see a lot of people are in stealth mode and self-funded, some will bootstrap, others will have great pitches for funding.

The AI goldrush is real but don't be one the lazy people who gets ChatGPT to write their pitch deck. The same technology behind ChatGPT can be reconfigured for other purposes, this page

https://huggingface.co/docs/transformers/quicktour

lists 13 different uses of transformer models, really understanding what you can do with the tools from that site can change your life. Most importantly, Facebook and Google won't be able to fully take advantage of this technology for reasons mentioned in this post and elaborated in my comment

https://news.ycombinator.com/item?id=35069965

basically they need to train a model that pleases everybody which is organizationally and politically intractable, but transformers put the power to train a model that pleases you in the palm of your hand.
I have spent so much time prodding the edges and trying to break it that I kind of forgot that I could be using it to be productive.