skysight-inc/HackerNews huggingface dataset:
> The intervention brought results

The kind of results other countries want to promote?

Think on that. If Israel hadn't codified extreme violence against civilians, these operations would likely have a lot more support internationally. Why would other countries support rescue operations that result in hundreds of innocent casualties? How would that kind of cooperation be distinct from terrorism, under the Dahiya doctrine?
1st link: claim dismissed. 2nd link doesn't work for me (access denied).
Recently I got free 30 minute trial access to GPT4 (and was prompted to upgrade if I liked it).

I used the opportunity to send some queries which GPT-3.5 was bad at, and while GPT4 was better and closer to the correct answers, it still failed to produce them. When I pointed out the problems, it got even closer, but still ended up insisting that its (wrong) answer was correct in the end.

So, yeah, GPT4 is much better than GPT3.5, but it's got a long way to go before it becomes real AI.

Currently, I still use it for 3 cases:

1. When exploring something completely new. It saves time reading and learning because you can ask questions with "layman words" and get to learn the specific terms used in the domain quickly.

2. When google search is swamped by SEO spam or google insists on ignoring some of the keywords

3. When I need some boilerplate code that has been written a thousand times. It saves time which would otherwise get spent on concatenating different code segments from 5 different Stackoverflow threads and reading the docs afterwards to ensure it's correct. Now I just copy/paste from ChatGPT and read the docs afterwards to fix any places where it messed up.
> It seems to me we've been building "robots" since the industrial revolution. An assembly line is a series of "robots"

There is no single, clear definition of what a 'robot' is, as normal people use the term.

The moment you write a definition broad enough to encompass a roomba, an industrial robot arm, and a child's toy robot you'll find you've also included cruise missiles, 3D printers, remote control cars and Ming dynasty naval mines.
Unskilled labor is doing the best it's done in years (if not decades), while senior tech salaries are still falling back to earth in the aftermath of the remote work talent acquisition arms race.

People are shuffling around, basically.
I survived all 23 words, "Top 1% of players today".

Don't chase the letters with the mouse, you can type on your keyboard and hit backspace to shave off some seconds.
I want one of these but don't have that kind of money to spend on a toy. There's always this:

https://skn.noip.me/pdp10/pdp10.html
Yes, I am well aware. But even in studies that do get replicated they often find lower correlations. Let alone the questions one could pose with the validity of the experiments and underlying models to begin with.

During my studies psychology we replicated some alleged results as well. We were students, so I’m sure we didn’t do all of it properly, but we actually usually found the opposite results.

And you (probably) have no idea how bad the statistics in quite some psychology studies are, especially in this field they very often assume basic normal distributions without any testing, and stare blindly at a p-value of .05 regardless of the study.

Of course there are also a lot of very ingenious and good studies, but from my personal experience (for whatever that’s worth), psychology as a field has some serious catching up to do to more STEM based fields.

All of this being merry my own experience of course, I readily admit I have not done the science in this regard.
Long covid is no longer a thing the same way ME/CFS is no longer a thing. The world moves on without you (me). I did have an adverse reaction and I knew before taking it that I was in a high risk category for adverse effects, i.e. I already knew I had ME/CFS. My main consideration was that I'm also in the high risk category for adverse effect from covid. I'm open to the idea that the pericarditis that I got from the vaccine I would not have gotten from covid but I really don't know. I wish this was something that society would talk about openly and honestly.

Not something I particularly wanted to get into but the genetic predispositions for long covid do seem to appear most frequently in the more intelligent. And since our society is so stratified by intelligence a large portion of the population does not directly interact with intelligent people and are truly sincere when they report that they don't personally know anyone with long covid. My experience is quite different as 1/3rd of my friends that I knew prior to my own issues have developed such long covid/ME/CFS issues of their own. I went through the whole gifted / magnet schooling system so my peer group is substantially biased.
Bit late to the party, but companies report that webpage speed correlates with conversion. See e.g. https://www.cloudflare.com/en-gb/learning/performance/why-si... & https://www.cloudflare.com/en-gb/learning/performance/more/w...

This one is also interesting; written in 2012, it claims that Amazon could lose 1b+ from a 1 sec slowdown: https://www.fastcompany.com/1825005/how-one-second-could-cos.... I imagine people are even less tolerant of slow pages today.

Fixing website performance can be one of the cheapest ways to increase conversion because it's hard to figure out what else moves the needle.
That's two lines in Caddy : ) (I do get your point of course )
Until you can observe that light doesn't travel instantaneously, it would be consistent to believe that a beam leaves your eyes, bounces off a surface, and informs you (as though it were a limb, perhaps) when it hits a light source.
Go is particularly good for:

- Web servers/backend and API

- Cloud and network services

- CLI tools

- Distributed systems & concurrency

- Being a productive programmer

- Easy to learn

Go is not best for:

- GUI apps

- stuff where metaprogramming is important

- Stuff where verbose error handling is important

- Hooking to C libs has been very problematic and error-prone for me at times. It can be done, but...

Real-world examples:

- SyncThing

- Caddy

- Large parts of Bit.ly

- Mattermost

- Kubernetes

- Docker

- Terraform

- InfluxDB

- Grafana

- Traefik

- Etcd
I've just checked yc.hn on a random registrar and it says 60 €/year. I think it's not as costly as it seems!

https://tldes.com/hn

https://tld-list.com/tld/hn
That depends on your lifestyle. I'd go for Dresden as it is less crowded.
Ironically, and I'm sure this will draw ire if Google takes it out of beta, but I "watched" this video by asking the AI overview to summarize the video then asked it specific questions about viewpoints and opinions expressed in the video (I pay for premium and opted into the test beta of this last week).

So rather than watching the video for 22 minutes, I felt I was able to get the gist of it in 1 minute...and denied the creator a full view. Was it accurate? I skimmed the video too in order to see, and it seemed correct, but I am aware of the inaccuracy these models tend to have.

I don't think the hype is necessarily accurate in it's specific predictions, but I do think it is accurate in the "things are going to change dramatically" way.
US employers are not technically required to offer subsidized health insurance. Although, it is usually cheaper for employers with more than 50 full time (30 hours per week) or full time equivalent employees to offer the subsidy rather than paying the “shared responsibility payment”. See #1.

https://www.irs.gov/affordable-care-act/employers/questions-...

> Under these provisions, certain employers (called applicable large employers or ALEs) must either offer health coverage that is “affordable” and that provides “minimum value” to their full-time employees (and offer coverage to the full-time employees’ dependents), or potentially make an employer shared responsibility payment to the IRS, if at least one of their full-time employees receives a premium tax credit for purchasing individual coverage on a Health Insurance Marketplace (Marketplace), also called the Exchange.
More than 60% of programmers are already using it and finding it useful. Boston Consulting Group conducted a trial and concluded that it increases quality of their consultants work while decreasing the time it took to finish it. So no, you are not correct that hallucination makes it impossible to use.
That's a great one too haha
That's been the party line all along including when the Prime minister himself was asked why he ignored intelligence briefings during last election.

> The prime minister said Wednesday he hasn't always trusted the intelligence CSIS shares with him — including a report suggesting China may have interfered in a Liberal nomination contest.

https://www.cbc.ca/news/politics/vigneault-foreign-interfere...
One of the benefits of gcc's powerful inline asm support is that it allows you to write new intrinsics. This is almost impossible in most other compilers, as they will do crazy things such as flushing out all registers before each asm block. Very useful for low level work.
> that's what your "AI-powered" marketing signals to me now: "We added AI to cash-in on the wave and stopped giving a shit to what users actually wanted".

Hit the nail on the head here. That's the message I get from such marketing as well.
No chance this will be abused.
Getting books from the big library requires parental cooperation, which is some degree of effort to obtain. Effort I had no reason to go through, for books that I did not know existed: I thought university books could only be found at university libraries.

I'm glad your teacher supported you towards actual learning. My teachers supported me, too, as well as they knew how: I got to work from a Year 7 textbook for a few weeks in Year 5, and I got handed a curriculum-restricted calculus textbook when I kept asking why we had to memorise the constant-acceleration equations of motion. Whenever I asked for more, I consistently got told to wait until the next stage of education.

We had one lesson where we were given an open-ended problem from outside the curriculum – about balls bouncing around snooker tables – and asked to solve it. This was something I'd worked on before, and while I didn't quite have enough time to write down everything I could, I did get far enough that I got in trouble for being incomprehensible. (They could follow the beginning bit, but then the reading order instructions got too hard to parse. Don't know why: I made sure none of the arrow-lines were parallel for more than half the page, so you could follow them fairly easily with your eyes.)

Now let's make our anecdotes fight to the death.
And if you do want a faster caramelized onion:

1. Slice very thinly (you also don't need a good knife in a kitchen, but a sharp knife is easily attainable for most people and saves a lot of frustration -- can comment more if you're interested)

2. Start in water

3. Start with a bit (maybe 1/2 tsp per several onions? it's better to underdo it and cook a little longer than to risk off flavors) of baking soda

3a. Don't forget to neutralize that soda. That's easier in naturally acidic dishes, but even in something like french onion soup just use a more acidic wine than you otherwise would.

The steps roughly all contribute to the idea of caramelization not happening till the cell walls break down. Step (1) breaks most of them down manually. Step (2) allows you to apply your highest heat setting to break them down more quickly without fear of burning. Step (3) chemically breaks them down.
Capitalism requires consumers. Ergo, to keep the wheels turning, either everyone is going to have to become an artisan, or UBI is going to have to be a thing.
What flags do you use when you just want to see the files that are being opened? I'm always grepping, but there must be an easier way.
Studio Six tools are the cheapest and easiest way to dip your toes into SMAART - which if you are into audio can be one heck of a rabbit hole :)
> - You never have to feel like doing something to start doing it.

> - The act of doing something is usually what creates motivation to continue.

> - Procrastination isn't poor time management; it's poor emotional management.

Thank you for sharing these. I've heard point #2 many times, but point #1 and #3 are huge insights to me!
If I remember correctly, during it's hayday DMV.org was making upwards of a million dollars a month. Crazy how times have changed and titans fall.
I don't know. I struggle to recall anything as transformational as the recent advancements in AI. Talking to a computer and getting mostly correct answers is literally Star Trek level. I suspect we are getting at least single digit increases in global GDP now due to LLMs.
Generative AI is progressing at an extremely rapid rate. What many are experiencing though, is that every company wants to be perceived as being on the cutting edge. Being on the cutting edge gets you mindshare, free publicity, investment, stock price bumps, etc. This incentivizes all this bluster and false promises. If you just take a shallow look at everything, it would seem like an unending wave of this, and it's easy to get jaded. However right behind that is a not so slow march of people doing actual work, building non-trivial products, or using the technology to create tons of small, sometimes invisible, but cumulatively transformational, improvements to their products.
TX here. I don’t know the last time I went to the DMV. Everything and I mean everything can be done online
How to catch cryptominers using syscall signatures
https://permacomputing.net/smallnet/
They're at the cutting edge. They're going to have to finance the development of most of this stuff anyway.
Right. Curiosity only exists if you have a proper model of the world, which LLMs do not
> Can computers auto adjust screen brightness via your pupil constriction?

Only if they had some form of pupil constriction sensor. Without a constriction sensor the computer has no way to know how constricted your pupils are.
It can be the case that the job of the opposition is to call for it to be released and the job of the government is to prevent it from happening.

Each side states their case and each side pays the price in popularity, such is the way of politics.
> So, yeah, GPT4 is much better than GPT3.5, but it's got a long way to go before it becomes real AI.

I don't disagree. Just wanted to highlight the poor intuition of the guy doing the video.
How did you see this story then?
I say, "bring it on." The current web is an open sewer and something would evolve that would probably be better. It could hardly be any worse.

If that turns out not to be the case, we could always reinstate 230.
I use an Ambient Weather WS-2902 WiFi Smart Weather Station, easy to setup and integrate with wunderground/accuweather etc, plus simple to use with HomeAssistant in a purely local configuration.
The main reason LLMs may appear disruptive at this point is because the real cost has yet to be fully factored in.

Not too many applications can justify spending huge amounts of energy generating answers that may just be nice sounding BS.
It’s a shame you feel the need to disparage your uncle before sharing his wisdom. Totally unnecessary.
> The moment somebody at OpenAI reads the QuietSTaR paper (GPT-2 scale network with GPT-3 quality!) and understands what it means, the timer to AGI begins.

I think parametric memory and accelerated grokking are equally promising. The convergence of all of these will dramatically improve reasoning. The next few years will be interesting indeed.
Memory Impairing Effect of Propranolol on Consolidation and Reconsolidation
Not to mention the pain of making change
That's great if you're not locked down to a particular compiler version
Not sure what world you’re living in. Even rape and murder, for example, is defined and prosecuted different today than it has been in the past. Surely that suggests that even things you might think to define as “timeless” aren’t quite so timeless. That’s ignoring the fact that there’s all sorts of regulations that are regulated by law. There’s also all sorts of laws that govern how government itself operates and it would be naive to imagine that what works for a country of a few million at the founding would work for a country of tens and then hundreds of millions. And then there’s things like EPA and healthcare which are governed by laws and very much should be updated as we learn new things and find new ways of doing things or technology makes a different way of doing things make more sense.
A little context about Parliament for Americans:

- The Canadian House of Commons is similar to the U.S. House of Representatives.
- Members of the ruling party are expected to vote with their party 100% of the time, no exceptions.
- “Cabinet” members are the political heads of executive functions… Those are akin to U.S. “secretary” positions in the executive branch.

The U.S. House has its share of “characters” as well. (I’m not trying to downplay the seriousness of these allegations, just trying to provide some nuance.)
Ok, so you're a library developer and create a greenfield API.

What do you do, in order for chatgpt to be able to pick up your library and it's patterns? What obstacles I see in this scenario:

* Base models takes months and millions to train

* RLHF supposedly can add knowledge, but it's disputed to mostly "change style"

* What incentive will OpenAI have to include your particular library's documentation?

I imagine, if that library starts being really popular, a lot of other code will include examples how to you use it. What about before that?

Including new knowledge always lags (are there two gpt updates per year? maybe a up to 4, but not really significantly more) few months, so what about a fast moving agile greenfield project? It could cause frustration in LLM users (I know I have been bitten a lot by some python library changes already).

It seems that it's just another tool in the box for humans to use. In far far future maybe, when we somehow get around those millions of dollars for fine tuning (doubtful) and/or libraries simply stop changing.

But still, put any really not small code base into 120k token context and see how easy both gpt and cluade opus trip up on themselves. It's amazing, when it works, but currently it's a roll of a dice still
Google Sharon Zukin. She wrote a book on loft living and describes the decline-rejuvination cycles in cities. According to her poor artists are the reason for those million dollar valuations.

Cycle goes something like this. Factories in parts of the city shut down after it get cheaper to run them outside. Those spaces lay empty, rents drop, decay begins. Poor Artists move in. Area starts getting interesting. Yuppies move in cuz of the 'cool' factor. Property developers notice. They start buying everything up. Rents jump. Artists get kicked out. And you end up with boring rich people living in a formally cool area.
I never understood why not all investments and income of politicians needs to be publicly available, and why all contact with lobbyists ought to be logged and recorded, at the very least for internal review purposes.

Or how it is possible that in countries which do have this to some degree (EU for example), every time we try to look at something the archives have mysteriously been lost..
> Which means that when a home is not underwater, the owner has savings (or breaking even, of course, but that is as equally unlikely and is for all intents and purposes considered to be the same as underwater).

What? It doesn't mean this at all. You can have savings and still be underwater. If you have a 3.5% for your mortgage, but the market crashes after you bought at the peak, you can be underwater because your house lost value. And it would be foolish to pay down the loan rather than get a better rate for your savings.

Underwater mortgages are totally orthogonal concepts to savings.

> if you are paying a mortgage, a portion of that is a portion you are saving

I think I see your confusion. Yes, money saved into a home is an asset that you are building over time. However it's a non liquid asset, it's difficult to turn back into cash for, e.g., a surprise medical bill.

Repayment of a loan meets the strict mathematical definition of "savings" however it is typically excluded (as are, e.g., investments). For instance, the U.S. calculation of GDP does not consider repayment to be saving.

Savings are typically held in checking accounts, savings accounts, CDs, and money market accounts. Some people take a portion of their savings and invest them in higher risk items like stocks and bonds, but those are investments.

It's important to decouple the concepts of net worth (or even just worth) from the concept of "savings" because you can be taking actions that increase net worth (e.g. paying a mortgage) that don't increase one's savings. (Though, eventually, if you sell the home you could put any proceeds into savings.)
I think we solved this with ambient light sensors like, a decade ago.
Nailed it. I thought, “huh, interesting, won’t use it, next item…” and moved on. I was surprised at the firestorm.
Yeah, my stylus override for HN is:

.comment {
font-size: 14pt;
}
.comhead {
font-size: 12pt;
}

I set this up many years ago and have not had to touch it since.
It's only zero sum when the total value of the space is fixed. That's obviously not the case here, since the total value of the space continues to expand.
Mostly by virtue of dying before that became a thing, though.
Around here I think you’d have better luck selling tiny cute looking computers with tiny screens and open source hardware.
Elsevier is not to blame, this is fair business. It is like you were blaming homeopathy companies for selling overpriced sugar and chalk.

The blame is on Academia who decided that they will be based on paying a company to send them knowledge, paying a company to get knowledge from them, providing them competent people for free and making their decisions dependent on all of this.

This is whining about their pain when whipping themselves at the same time.

This system was put in place in ancient times and changed in the meantime, the first interested somehow did not notice that.

Note: I used to be in Academia and left after my PhD, among others because of these practices and medieval organizations. I loved the time I spent with brilliant people and the hours of teaching.
Nvidia is a very un-Buffett-y stock. He likes Coca-Cola and Wrigley chewing gum, and only in his later years did he get enamored with Apple.
It’s possible to hold billions of rows in a single table inside a single table via power query
"We can cause any problem by introducing an extra level of indirection."

- The Fundamental Theorem of Bloatware Engineering
You're still sending packets to the same IP address. QUIC can't obfuscate that itself, all packets have to get routed over IP in the end. The paper relies on very little but that fact.

If one wanted to block VPN connections, they easily could do so by running such detection and then blocking all UDP (QUIC is built on UDP) traffic from the host to the suspected VPN server, too.

What QUIC helps with, in the context of dealing with DPI firewalls, is really just the obfuscation/encryption of as much connection info as possible, such as the SNI/Host in the context of an HTTP server, which normally is sent in plain text even with SSL/TLS (though ESNI efforts are starting to fix this)
Of course one can dumb down the requirements so that it will handle, but what about "once basic auth is added, check which endpoints should require it and by what clients" - any real work is out of the scope currently
Articles like this are usually a good proxy for the top of a bubble.
Podcast "The Rest is History" episode 355, I think.
Black holes curve spacetime to the point a straight line is a circle in a small area. That doesn't have anything to do with the article.
There’s a lot of jobs that follow this if your income is guaranteed. Most of the stress & pressure of a job comes from the fear of not loosing it.