skysight-inc/HackerNews huggingface dataset:
> make the car appear performant and powerful

Which part is different? The fake camera gives the appearance of a working camera.
I had a serious, one-off injury in 2018 that would have wiped out about half of that if not for my employer sponsored care. US healthcare is extraordinarily expensive.
Meanwhile, mainstream american right-wingers are literally calling for the eradication of transgender people. What is the political motivation behind posting this article?
I'm not convinced by this explanation. Small language models (similar in size to the Stable Diffusion network) don't just produce incorrect statements like "cats are an animal with four tails", they produce incoherent sentences with no relation to the text they are supposed to extrapolate. It's not that they are wrong, they don't even make sense much of the time. That's not true for SD. Yes, many of its output images have flaws, but the overall image usually shows the desired subject, and roughly resembles something a human artist might paint.
> I question if we truly know how these drugs affect the MAJORITY of people seeking them.

My suspicion is that they'll help in the short term, but I do worry about the long term. As long as we're careful about keeping research active and objective at least it won't take very long to start getting answers.

Since it seems we've already committed to the experiment, our focus should be on collecting data on the outcomes and making sure that no matter what those outcomes are these children are given our support and are treated with compassion as they grow.
Lots of speculation right now, but we'll eventually find out. Like Buffet is fond of saying: you find out who is swimming naked when the tide goes out.
I'm not saying this out of scepticism but curiosity - what specifically are you talking about when you say that?
Spoiler: it's false
Fisker.
Yeah I've watched a prominent psychologist talking about how the extent of it granting trust to vulnerable people and even regular people because of sounding smart makes it risky. I don't think it is a large risk with adequate training to the users. It's debatable not obviously one way or the other.

I've also used it myself and found myself trying to make decisions based on its explanations only to find out that ChatGPT was mistaken.

I personally do not think I am vulnerable to grave errors due to it and I've noticed large benefits using it for other purposes like coding or diagnostics.

If you're trying to make the argument that "use computer algorithm make people dumb" then you're decades late on that one.

Censorship should not be for everyone. Because if it is, it certainly isn't for its creators and powerful groups of people that bribe or coerce OpenAI which assuredly will happen regardless. This would be a strong argument for non-censorship.

I don't think the decision to censor it was even done as a move to protect the public. I think it actually was a power play by the company with an easy alibi of seeming virtuous. This allows them the ability to charge much more for clandestine use. It could also be out of fear that it will spill secrets that they themselves are using or plan to use for their own gain. I think you could conjure several other valid reasons here.
The Netscape link!
To A and B: human babies exit the womb with pre-baked intelligent reflexes. These are so distinct and ubiquitous, they are used to test the health of newborns (eg rooting for a nipple, closing into a fist, etc.) Models are static. You read in the training set, you write out the weights. No functional default to build upon.

To C: to create truly original output would be to ponder something into existence that wasn't presented to you prior. To reach nonsensical conclusions through valid logic [much how children create made-up words (eg "goed" instead of "went") based on the underpinning concepts of language, not regurgitating what was fed to them.] ChatGPT pretends to do this with an RNG. Humans do this through denotation. When ChatGPT accidentally makes up a word, I'll hop on this hype train.

And to D: I never presumed to know what AGI will finally look like; only that this isn't going to be what gets us there. If one is going to posit that ChatGPT is a significant step in that direction, the burden of proof is on them, not me. You told me that Russell's teapot is orbiting the sun, and I told you that I don't think it is. Simple as that.

Edit: by the way, your idea of intelligence isn't much more than the Turing Test, which we know missed the mark due to a chatbot beating it over a decade ago now. We've realized for a while now that it's much easier to feign intelligence than recreate it.
I find "creditworthiness" to be an exceptionally inelegant turn of phrase.
I've seen a figure of then being able to manufacturer up to 60 guided missiles per year. Could be wrong, we're all just citing what we've read.

Musical chairs indeed but pretty direct ones:

https://edition.cnn.com/2022/11/11/politics/us-artillery-sou...

I mean that's pretty much just throwing the chair at someone.
Best way to create a bank run is to do a bank run. It's a real life prisoner's dilemma.
I'm afraid of the same outcome too. However I think many admins in the Fediverse are aware and I expected most servers to block any instance from Meta.
I think that's because the mind can make more sense of a mismash of visual data and see patterns and pictures. Comparatively if drop words here or you can still make sense of what I wrote, but it's much more difficult for the reader to parse what I'm saying if I accidentally a few words. If my drawing has a clearly recognizable human figure but it has 7 fingers, it's still recognizable that it was trying to draw a human.

LLMs have been able to generate words for years now. Hell, Tay was back in 2016. Making sure ChatGPT is able to answer the way it does (ie filter out bad things) is part of what makes it hard, and thus bigger, to implement. But having a cohesive readable output is what's hard and takes up more space. Plus, unless I missed it, we don't actually know how many gigabytes the model file for ChatGPT is.
Can’t find any info on the IR deicers getting decommissioned. Newark’s could handle a 757 and JFK’s could handle a 787 and 747.
It's really amazing that both Thatcher and Reagan came to power at around the same time, delivered such fabulous witticisms, and caused very similar societal harm.
I think there is only one 100% accurate method to ensure you never start reading a non-awesome book, and that's by never read any book at all.

Instead, admit quickly that you made a mistake and stop reading a book if it turns out to be not-awesome after a couple of pages.
Man, the E1000 was a fantastic phone. Extremely tough little phone too, at one point we jacked up a Toyota Landcruiser on top of it, and the case/screen didn't even scratch.
Been writing and publishing a bunch of tiny libraries lately, most of them only a few hundred lines of code but it’s been a really good exercise.
This is a good tale, and one that folks really should take to heart. I have observed when good engineers get an over developed sense of ownership they will move "heaven and earth" to get things done. If you're managing one of these heroes it is your job to spread the load of what they do across the team so that no individual is so overloaded everything suffers.

New managers who had been engineers before management and care about the work always tell me "I feel like I'm not doing anything, I should be helping or something." And I tell them, your job is to look. Look at your team, who is working late nights, who isn't. Who is meeting their commitments, who isn't. Let their actions guide you getting them what they need to be the best they can be, things that you, and only you, as the manager can get for them. That often means blocking incoming requests for more "stuff" (features what not), carving out time for your "doers" to help bring the new people up to speed. As part of an IBM manager training video there was a discussion about how the US Navy trains every person on a submarine to do every job because you never know when the person whose job it is won't be available to do it. That really resonated with me and I tried in future groups to try to overlap skills and cross train folks so that everyone could both appreciate what their peers were doing, but could also help out in a crunch if one part of the work needed more effort briefly.
But why did they pile into bonds all at once? Wouldn't you normally do the equivalent to Dollar Cost Averaging? Did they have no other choice but to park a huge chunk of money into various government bonds at exactly the wrong time?
most of programmers use ChatGPT as the "librarian" to replace finding docs/stackoverflow manually.
This doesn't answer the OP's question: "What does Sweden do differently in their scientific community..."

Obviously, they're doing something very differently, though with the pandemic it seems, the results weren't very good.
You probably won't read this after 4 days, but the way I was phrasing it was solely meant to show that the rhetorical question asking what states are between Russia and Donbas (none) is irrelevant to the point the original commenter was making.
I’m not saying the T bond is useless. I’m saying that the fact that it’s nominally worth a specific amount in the future if I hold it is useless.

This has nothing to do with liquidity. If I had a 0 interest, $100 T bond maturing in 30 years, I cannot sell it today for $100. But anyone who lent me $90, nonrecourse, using it as collateral and asking for only a moderate profit is nuts because this bond is not worth $90 — not even close. Maybe I can get a loan that is based on my own credit-worthiness, but that’s a different story entirely.

If I have this $100 T bond, and I’m a bank, and that T bond is collateral for a $100 savings account paying 4.5% APY, I am in the hole. If my depositor sticks around, I can gamble and hope I can make up my losses (e.g. by interest rates going way down), or I can try to be such an awesome bank going forward that my profits can make up for my losses, and maybe I’ll get away with it, but I don’t really deserve to get away with it.
Related:

Secretive: An app for storing and managing SSH keys in the Secure Enclave - https://news.ycombinator.com/item?id=28853329 - Oct 2021 (11 comments)

Secretive – macOS native app to store SSH keys in the Secure Enclave - https://news.ycombinator.com/item?id=23664129 - June 2020 (106 comments)
If the business for LLM turns out to be "generate spam, marginally speed up certain kinds of information work, be an interface to something else", that's not actually much of a market for a differentiated service.

It's automation towards accuracy and quality that is the reason to be excited/terrified about the stuff, but everyone that probes existing models deeply enough finds a case where they output dangerously wrong answers, and you can get those very cheap.
You can ask New Bing to summarize it for ya.
You can view your actual telemetry data shared with Mozilla in your Firefox's about:telemetry page. No website browsing history is sent to Mozilla.

https://support.mozilla.org/en-US/kb/telemetry-clientid
A stable beachy coastline is in dynamic equilibrium. Erosion is the result of more sediment being washed away from the system than is deposited. The root cause of the disturbance in the system is probably some damn in a river which is mentioned in the article.

A local measure that reduces wave energy creates a sediment trap, reducing or reversing local erosion.. However some where downstream from this site there is now less sediment coming in than is going out. So there it is going to erode now.

These type of measures usually end up pushing the problem downstream (a coastal system has a dominant sediment transport flow direction).

Actual solutions must look at an entire coastal system and usually involve continuous dredging, damn removal or lots of breakwaters, walls etc. This is all well known amd cam be modeled to a pretty good accuracy with software. However time amd time again a town solves their problem by pushing the erosion to their neighbours

.
>images need much more storage space than text to convey similar information

That is because an image is a collection of bit that attempt to represent reality as it is. It probably is easier to relates blue as a "color archetype" when you literally have a collection of bits that mean literal "blue" all the time. In languages "blue" doesn't always mean the color.

Texts are abstractions/coded form of reality. Your mind itself contains the decryption codes to translate text into what it actually means. That decryption code for text apparently is much bigger and harder for a machine to crack than interpreting images.

Also, images are bigger than a text file because of the way data is stored. It probaby has nothing to do with the amount of information stored inside. A book about quantum physics can be smaller than an image of a cat for example.
If you're already using a Yubikey, you can use FIDO2-based SSH keys which work natively with ssh-agent.
Today it told me how to write a powershell command to make a git commit that includes the current timestamp in the commit message.

For example. I could have figured it out elseways, but would have taken >20x the time.
Probably a reference to Knowles.

> During his speech on Saturday, Knowles told the crowd, “For the good of society … transgenderism must be eradicated from public life entirely — the whole preposterous ideology, at every level.”

Knowles subsequently claimed that “eradicating” “transgenderism” is not a call for eradicating transgender people and demanded retractions from numerous publications, including Rolling Stone.

https://www.rollingstone.com/politics/politics-news/cpac-spe...
Look at the table of contents of this book titled "Eugenics" https://archive.org/details/naturessecretsre00shan/page/6/mo...

There were multiple points of interest for the Eugenicists. One of them was for the general public and how to get them to have a proscribed conduct and behavior.

Maybe you've seen those diagrams where they have 2 life paths depicted from the Victorian era. That's from Eugenics. Example: https://ia800301.us.archive.org/BookReader/BookReaderImages....

Here's "The Road to Success" for "The Young Man" https://archive.org/details/naturessecretsre00shan/page/244/...

Again, this is part of Eugenics. We focus on the part that was removed (race science) and leave mostly unexamined the parts that were reinvented or repurposed as say, "The Power of Positive Thinking".

Eugenics books, for the general public, were a different beast. Probably the best succinct description for how they thought of themselves can be summarized in this 1921 diagram: https://images.prismic.io/wellcomecollection/efc97918-8073-4...

It is a dangerous psuedoscientific epistemology - a practice with a bunch of faulty logic and ways of knowing that can lead to disasters and it's alive and well - for instance, assuming a social structure in lobsters applies to humans. That these adherents tend to be revealed as secretly racist and thus subscribe to the part which was removed, should be of no shock.

We've mischaracterized Eugenics[1] and allowed it to fester by other names or as Maurice Bardèche, the french neo-fascist observed about fascism in the 60s, "With another name, another face, and with nothing which betrays the projection from the past, with the form of a child we do not recognize and the head of a young Medusa, the Order of Sparta will be reborn"

The point is that if you don't draw the perimeter right around an idea, you can't reign it in. It'll just escape from your hands and re-emerge as something else. So, for instance, the slave plantation becomes the prison farm (https://en.wikipedia.org/wiki/Prison_farm).

We tend to, for good reason, ignore societal trainwrecks and blights on our past. But trainwrecks are the most important thing to study if we strive to build safer trains and seek to avoid similar disasters in the future.

Things have to be accurately tackled with in order to defeat them.

---

[1] it's worth noting it's a big topic and some "real" science has also come out of it, such as biosocial theory and biostatistics studies. Peer reviewed journals such as https://en.wikipedia.org/wiki/Journal_of_Heredity used to be eugenics journals. This is, however, a very small minority.
Having worked with both major banks (BoA, Chase) and startup focused banks (SVB, First Republic, Square1) - you’re incorrect. BoA and Chase are great for personal capital, but for startups they are horrendous. Huge pains to convince them you’re not a drug dealer and aren’t going to die tomorrow. SVB, FRB, etc., understand startups and make it possible to… bank with them.
I've always been afraid to invest in something like a yubikey or even to use the TPM on any devices I own. I don't ever want to depend on "something I have" that can't be backed up or recovered in any way.

As an example, when I started using a password manager last year, I also made sure to start hosting the (encrypted) passwords database publicly (on a web server) so that if I ever lose it for any reason (SSD fails, etc) I'll be able to download it back onto a computer and unlock it with my master password.

If I ever lose my passwords database I'll also lose access to every internet account I've ever made. It would be far too risky to make it rely on any physical possession of mine.

Some people (most people??) would feel safe knowing that it's impossible for anyone to get into their accounts without their yubikey, but I'd just always be afraid of losing the yubikey.
Why should they be blocked?
Wow. Trying to match wits with a guy who does it for a living is never a good plan.
Liquidity crunch, probably as startups are drawing down cash to pay bills/payroll/interest payments… Trying to convert eg. long term treasuries held by the bank to cash for satisfying customer withdrawals takes time, and has costs. If too many customers attempt to do this in a short period of time, you start having to delay withdrawals, panic spreads and the process escalates and feeds back on itself.
Thanks! Macroexpanded:

There’s no such thing as a tree (phylogenetically) - https://news.ycombinator.com/item?id=29621646 - Dec 2021 (132 comments)

There’s no such thing as a tree, phylogenetically - https://news.ycombinator.com/item?id=27094382 - May 2021 (207 comments)

There’s no such thing as a tree (phylogenetically) - https://news.ycombinator.com/item?id=27026812 - May 2021 (1 comment)
So when you read this:

quote:
"Lol. This is ENTIRELY conjecture. Given that we solved protein folding via machine learning sounds to me like this is just straight up cope. We'll have a model that given our experimental data that we cannot fully interpret will come up with a better approach.

"“The apple would not have fallen but for the force of gravity.” That is thinking."

Yeah this guy is speaking completely out of his depth here.

"The crux of machine learning is description and prediction; it does not posit any causal mechanisms or physical laws. Of course, any human-style explanation is not necessarily correct; we are fallible."

Have you ever thought that given that machine learning algorithms have far surpassed humans at any computable games in terms of strategic depth that they may not also be able to do this for explaining variance in experimental data? It's really not much of a logical leap at all to make that conclusion."
end quote:

What do you see? Do you see the word LOL at like 72px font and the rest at 1px font? Because that's the way what you're saying comes across to me.

What you said seems extremely unfairly dismissive.
I too have zero qualifications, but I think “text” is slightly more complicated - from an information theoretical perspective - than we give it credit for.

A letter carries significantly more information than a pixel. One word can change the meaning of the rest of the text. (“joke:”)

I don’t think images have the same property.
I dread that. You heard about Loab? That stuff is haunting. I am scared of what a 100B param model can create in the deep recesses of its system.
Very right!

This is also the reason i always recommend to others to just focus on solving the main path in a program. Do what comes naturally and in as direct a manner as possible with no unnecessary distractions. This is the creative aspect of problem-solving. Don't bother about edge cases, exception handling, performance, design patterns etc. during this first implementation but just focus on meeting the specifications. This gives you a huge boost in Confidence and builds up Motivation for the next steps to make it industrial strength (only if needed).

The second step involves going over the first implementation with edge cases and exception handling in mind to make the Program Correct w.r.t. Specifications. The problem is now solved.

The third step is when you go over the second implementation and look to restructure/refactor the code with an eye to Modularity, Design Patterns, Best Practices etc.

The beauty with the above process is that, with time and experience the techniques in the second and third stages become assimilated and innate and now find expression during the first step itself! This is RPDM (https://en.wikipedia.org/wiki/Recognition_primed_decision) and you have now become a certified Expert :-)
"its almost like making bets with money you don't actually have yet is a bad idea"

Banking is supposed to be a very boring business (at least under Glass-Steagal-like regulation). Making "bets" with money they don't have isn't something retail banks are supposed to be doing. Yes, we know that some banks were doing this prior to the '08 GFC, but wasn't that supposed to have been reigned in by the reinstatement of Glass-Steagal-like regulation since then? (of course, there is some distinction between retail banks and investment banks, is SVB the former or the latter?)
Wouldn't say I got a lot better by writing small and medium sized personal hobby project, but it most definitely did get me confidence.

A cellular automata runner where you can define the rules and watch what happens: https://aperocky.com/cellular-automata/

Browse THIS website in terminal: https://github.com/Aperocky/hnterminal

A random simulation of prehistoric civilization and market: https://prehistoric.tech/

Every few months I get a bubbly idea and start some fun project, and they are usually small enough I get to finish them in a week or so, package them either on the web or pip/npm. It feels like a boost to software engineering as a job, which can occasionally get boring.
>We're seeing a tripling in the amount of people identifying as transgender.

This really makes me wonder if there isn't something else going on, such as young people simply being unhappy with their lives or the gender roles expected of them, and jumping on the "transgender" bandwagon as a way to escape that. The idea that 20% of the population is transgender really makes no sense. Maybe a large part of the population simply doesn't want to conform to what conservative society expects of "masculinity" or "femininity", so instead of simply ignoring that crap like they did in the past, now they believe they're "transgender" and try acting like the opposite sex.
Yes, it means "at least two things that interact".
>For example, a recent analysis of insurance claims found that nearly 18,000 US minors began taking puberty blockers or hormones from 2017 to 2021, the number rising each year.

I'm having trouble parsing this, is this saying the overall total in that time period was nearly 18,000 and the yearly amount was increasing, or that the yearly total was 18,000?

This article seems very vague about what treatments are being given to whom. My understanding is that in the US, minors with gender dysphoria who haven't started puberty don't get medical treatment, which is in line with the NHS guidelines. The article seems to be implying otherwise, but doesn't outright say so.
WaMu failing was so strange.