skysight-inc/HackerNews huggingface dataset:
Yes, and I have done this.

I love llvm/clang.
The published study (open access!) that the post writes about:

https://www.nature.com/articles/s41598-022-15245-z
https://qntm.org/mmacevedo

> However, even for these tasks, its performance has dropped measurably since the early 2060s and is now considered subpar compared to more recent uploads. This is primarily attributed to MMAcevedo's lack of understanding of the technological, social and political changes which have occurred in modern society since its creation in 2031. This phenomenon has also been observed in other uploads created after MMAcevedo, and is now referred to as context drift.
Good. Cobalt mining is still a rich avenue for cheap child labor in underdeveloped areas that most major tech manufacturers still exploit.
The fediverse is not decentralized, it is “federated.” Large portions of the fediverse are censored by a few powerful admins that control the majority of users and speech that flows through the network.

Better examples of decentralized social platforms might be Bluesky or Farcaster. The former relies on DNS (which has some central points of failure) and the latter relies on Ethereum (which does not have the same central points of failure).
Every such discovery reaffirms that the moon is a time machine.

Next to (or inside) the ice from the Permanently Shadowed Regions, there may be clues to how life got started on Earth. https://link.springer.com/chapter/10.1007/978-94-007-6546-7_... It's estimated that this trapped ice may be from the Earth and the Moon from 3.6B to 4.2B+ years ago. Along with other volatiles, this may give humanity an unprecedented look at what the Earth and the Moon were like before life arose. And if we're truly lucky, depending on how old life is, it may even help us understand how our planet changed while life arose and after life arose.

If it's not there, then the glass beads that they found the water in could also contain trapped gases and compounds that we've become better at detecting. Gases were found in one of the beads brought back by Apollo 15, https://articles.adsabs.harvard.edu//full/1991LPI....22..409...

It will likely take decades to figure out most of the information those samples will contain. Helium 3 wasn't discovered in the Apollo 11 and Apollo 17 samples until the 1980s. The Apollo samples are still yielding new science all these decades later.

I'm so excited about what the future has in store for us.

If you'd like to learn more, this is a fairly approachable article written by NASA's former Chief Scientist, Dr. Jim Green, https://room.eu.com/article/evolution-of-volatiles-on-the-mo...

The Moon as a Recorder of Organic Evolution in the Early Solar System: A Lunar Regolith Analog Study —
https://www.liebertpub.com/doi/full/10.1089/ast.2014.1217

Potential for prebiotic chemistry at the poles of the Moon
— https://spie.org/Publications/Proceedings/Paper/10.1117/12.4...
Direct link to paper: https://www.nature.com/articles/s41598-022-15245-z

> Using datasets from four different industries (healthcare operations, transportation, finance, and weather) and four standard machine learning models, we identify and describe the main temporal degradation patterns.

So they focus on shifting distributions and discover that models degrade in time, it should be an obvious thing, if you don't retrain on new data.

It's not about LLMs or diffusion models degrading. Time series prediction is a classical branch of ML with techniques like Moving Average (MA), Autoregressive Integrated Moving Average (ARIMA) or LSTM.
Welcome to the world of tomorrow!
If I understood that article correctly, the flight was mistakenly booked to begin at BHM instead of BHX (not to end at BHM instead of BHX). This is also a consequential mistake, but one that initially meant that the purchased flight couldn't be used, rather than that it took the travelers to an unexpected destination.

(But according to the story, people then bought an additional BHX-BHM flight for these travelers as a gift so that they could visit the other Birmingham and apparently then make use of the mistaken flight.)
I built a special PCIe card to test GPUs on the Pi
Can you add a little about why you want glass bottles in East Africa?
Yes, one’s first thought is that the US should stop sharing its military documents with Russia.
It keeps a log locally on your computer of how many of a certain type of pop-up it has handled (and how many clicks it has made for you).

You can access it through the 'about' tab in the extension.
Between STIR/SHAKEN and NSA, this guy hasn't been found yet?
I really like Rust, but it feels a bit rigid for game programming. I'd probably still use it, because Bevy, but I'd definitely push a lot of logic into a scripting language.
Apartments, hotels, bars, and roads are not personal; they're public spaces and as such are rightfully subject to a public regulation.

If I want to pierce my ears, alter my genitals, collect pokemon cards, or drink 8 cups of coffee in the morning, that's none of your business.
There is an open GitHub issue for this and it’s already been implemented in the Tailscale client, it’s really nice too as the DNS records are pushed out to the local DNS resolver on each Tailscale client, rather than being lookups to a separate server, so it’s super fast.

Unfortunately there aren’t any options for it on the Tailscale control panel, but if you use Headscale you can configure it and take advantage of it now.
More money doesn't mean self improvement or being better at handling the opposite sex, outside of "pay for play". It can simply mean more money to spend on one's hobbies, addictions, and vices.
That's a good point. However, it could also happen that a good chunk of frontend work gets folded directly into the product owner/manager role. Hard to say which way things could go but it's interesting to speculate.
Latest AI jobs in 100+ AI Startups
Hi folks

I developed Best AI Jobs during my brothers job search (he got fired due to latest Tech firing/ job freezing) we figured almost all of the tech sector is in a reccesion/job hiring slowdown besides AI, which is evolving really quickly and still gets a lot of funding. So i figured to create a job board that aggregates jobs from 100+ different AI startups that recently got funded.

To make a website like this i needed to scrape websites like Greenhouse and Lever. I parsed the useful information such as salaries and hiring location. I manually added companies and gave a description about them with the help of chagGPT

My brother acctually got an job interview from searching through my job board and applying, so that made me happy.

You can also check out the Developer salaries from 1000+jobs.

I'd love to hear your thoughts and feedback on how I can make this even more helpful for people looking for AI jobs and make the transition to AI space.

Thanks in advanced!
For the people working in Generative AI/LLMs, it is the best market ever. Even the end of 2021 wasn't anywhere near as crazy as this is. No surprise at all at these comp packages.
What do you propose be done instead about things like Tornado Cash that would be more effective at stopping it?
Here is my current keyd configuration (on US QWERTY hardware): https://dpaste.org/aGp3o/slim
(I'm not entirely happy with it, though.)

The one thing I wanted the most was to avoid any long presses.
Everything that requires holding a modifier, even if I do it touch-typing style, with the opposite hand, is unpleasant (to me).
So, besides moving most of the punctuation characters to lowercase positions, I also switched to sticky modifiers.
(keyd might have some flaws wrt sticky modifiers, and they... get stuck. Not when I want them to be. I might try to go back to XKB.)

Regarding the home-row modifiers, I've only tried moving Control there. I always ended up triggering it by mistake when typing,
because when you are typing fast, there is an almost unavoidable overlap in certain sequences, you press the next key before fully releasing the previous key. Some people advice practicing, other software provides various options with timeouts, it's a rabbit hole of work-arounds. So I settled with sticky modifiers.
Wait, spending $300 million to get a plaque with your name on it a vanity play?

Who knew?
It's inaccurate to attribute all of these use cases to "LLMs" in general when currently only 3 or 4 of the best models can do all of them well. Especially the ones that involve writing code or highly technical instructions. It's OpenAI plus maybe one other model from another group, but just barely.
You do still need a grounding in calculus and the fundamentals, even where dated, to know what's going on behind the APIs and models.

If you're OK using an ORM with no relational database or SQL knowledge (as a parallel) then sure it makes no sense.
I will provide an answer assuming that the question is about the criteria for model training.

We train the model based on the difference between the predicted price and the actual price as the criterion. Additionally, we also consider the accuracy of the predicted direction, not just the price.

Directional accuracy is a metric that measures how closely the predicted price and the actual price of an asset move in the same direction. For example, if the predicted price for the next day is higher and the actual price also increases, the DA result would be True (1). However, if the actual price moves in the opposite direction, the result would be False (0).

And, BTCGPT currently uses two models, one for daily predictions and the other for weekly predictions. Ideally, we would like both models to provide the same predictions, but in reality, due to differences in the training data and model architecture, they may produce different results. If you look at the direction accuracy at the bottom of the chart, you can see that there is also a difference in the prediction accuracy between the two models. Currently, the daily model is showing higher accuracy than the weekly model.
What I guess I am wondering about is what sets the upper bounds/limits to advertising growth and ad funded free content/free service growth? Since attention is finite, and the competition for that finite resource seems to be at all time highs.
I strongly disagree.

I'll give you a good example. We recently migrated away from Plesk with Apache to a server running NGINX. I wanted to get Active Collab running on the new server, so I fed the documentation for installing Active Collab into it, which included the URL rewrite lines for the NGINX configuration.

What it presented to me on every attempt, and I tried this for days, was complete gibberish that hallucinated all kinds of things that didn't exist, and it didn't even run as an NGINX configuration.

All that time wasted versus just writing an NGINX configuration. Who is seriously going to trust this to do anything high-level if it can't even write a basic NGINX config? If you don't know the framework then your Dunning-Kruger is in full-effect, you don't even know what you don't know, and blindly trust the output because it resembles something similar to what you might expect.

I'm thoroughly unimpressed. The boilerplate tooling of twenty years ago didn't even use AI and was vastly superior.

Another example: asking it what a product is, e.g., the tfpro P38EXMK2. It calls it a microphone preamplifier instead of a compressor, despite there being no preamps in it, it also hallucinates controls that don't exist, and misses the entire point of the product.

I also asked for step-by-step instructions on exporting data from one program to another, and it invoked all kinds of menu options that don't exist, and didn't take into consideration file incompatibilities in terms of imports.

Due to the immense hype, I have spent a lot of time trying to get something rational and sensible out of it that's actually a good use of time, but alas I have found nothing. IMO, it's the next crypto. All hype and very little actual utility for serious users. It's a cool toy for people who don't know what they're doing, but I'm sure that with a little experience, they would understand the sentiment.
Crem: Compositional Representable Executable Machines
One of the important things about them burning a million quid was that they weren't super rich. That money was pretty much all of the money they had left in their earnings from royalties. They then deleted their back catalogue, so they'd no longer earn royalties. I remember at the time that the only way to buy a KLF album was a Japanese import.
Imagine a politician went around wearing a shirt that said "by listening to me you agree not to criticize me."
Learned English from age 6. I use English more than my mother tongue these days, but mostly in written form. I use both languages in my internal monologue. Sometimes, when deliberating something for example, I may also have a wordless and languageless inner monologue. It's difficult to describe.
GP may be referring to this:

> Raise them as people who will deserve to live a new communist society.

> I wish to dedicate this flight to the people of the new communist society...

Would it seem political if someone wrote:

> Raise them as people who will deserve to live a new capitalist society.

> I wish to dedicate this flight to the people of the new capitalist society...
Maybe look at what AI Dungeon has done.
For that reason I prefer the acronym SPOT = single point of truth.
“Because our population exceeds the carrying capacity of the planet, and if it does not do so already, will likely do so in the future, and if it does not do so in the future, it is still a good idea to have a backup plan for our descendants in case we manage to wreck this planet some how. Having a plan B just makes sense doesn’t it? Bet you the dinosaurs wished they had one”
I have previously used RTKLIB, but it seems not to be updated any more: https://github.com/tomojitakasu/RTKLIB
Here's hoping that my message about the discourse about the praise of GPT leading to a self-praising GPT itself leads to a more introspective GPT, is used as training data and results in a more introspective GPT, which I suppose is me praising GPT, which will result in a more self-praising GPT...
Cats (and perhaps other mammals/animals with complex nervous systems) have the tendency to „disappear“ a few days before they die.

I lived in the countryside as a kid and saw several generations of our farm cats come & go. We never found out where and when they died, but all of them lived a long (cat) life and I‘m pretty sure most of them died of old age.

My assumption is that humans can feel that their time is coming as well, and apparently the experience seems to be similar for all of us.
Slavery and bloodsport, but neither will be found on the moon so your point stands.
Well, how do you count?

One glaring obvious problem with the EA people, is that they double count.

Say I give money for bed nets, and the bed nets save 100 lives.

But say I only gave that money because Eliezer Yudkowsky convinced me to. Was it really him that saved 100 lives? Or do we divide them between us somehow? How many should go to the people who actually distributed the bed nets I paid for?

You'd think the EA people would have good answers to these questions. Or at least, any answers. But they don't. Not any consistent ones. They cheerfully double-count in all their most famous arguments.
Indeed, my first used car that was otherwise in good repair and wasn't cheap had a recurring carpet beetle infestation that popped up each spring. Hundreds of the things crawling out of every crevice, and there was no way to know about it until months after I had purchased the vehicle. Could never find the source, but got it managed with yearly treatment. It makes me quite reluctant to buy used cars again.
1 in 200 apartments in the city, holy hell.
Anyone who has lived with a Tortoiseshell Cat knows another word for this: Tortitude.
Unless you're using ChatGPT with plugins, it doesn't offload anything (and is also bad at math).
According to this random website, the letter was opened in 1968 on the actual event of Gagarin's death and declassified in 2011 to celebrate the 50th anniversary of his flight.

https://www.space-collectibles.com/blog/youri-gagarin-s-lett...
Generative AI Comes to Amazon Web Services
PostgreSQL 16: Explain (Generic_plan)
A few years ago, someone wrote to me here on HN something like this:

> F*** cats. They are all the same. If you lose a cat, just get another one.

Obviously this person did not know cats.
Not sure if Postgres has it, but last time I was using TimescaleDB I've written my own functions in Rust and it wasn't hard at all. I've heard it became even easier recently with PL/Rust https://news.ycombinator.com/item?id=35501065
> that ticket has an expiration date tied to the 19th century. Eventually those free spaces will run out. They're already starting to in the western world

I'm sorry but I genuinely don't understand what you're saying here. What will expire? Which "free spaces" are running out where?
As an experiment try putting all the code in a single file (I am not recommending this). It then becomes impossible to hide complexity without decreasing it, and you naturaly come up with all sorts of utility functions. The code becomes denser.

It is an interesting exercise, and with a good typesystem it can go a long way.
This is great fun. Thank you for giving away this work and so accessibly. I got it working in minutes.
> Where would that even apply?

That sounds like it could be useful in legal and policing contexts. One complaint I’ve often heard about body cameras in policing is the possibility of footage that was created and did indeed exist being “lost”, with the implication being that legal entities intentionally destroyed evidence of either the footage existing, or its contents.

To the extent that this centralized authority issue applies to textual data or metadata, decentralized records of messaging times and contents would potentially be an invaluable tool of transparency and promoting systemic confidence in a visible shared audit trail.
> US police can and are frequently shot and killed.

Feels a bit disingenuous when more cops died of C19 in 2022 than from gunfire - 60 deaths in 2022 compared with 74 for C19. Also US cops killed almost 1100 people in 2022 - I think they have the better side of the 18-1 ratio here.

(Also taking the first 10 as a sample - 2 were off-duty and 1 was shot by his own colleagues which isn't really "policing is risky", more "free roaming guns are generically risky".)
Microsoft seems to be actively developing Swiftkey (not dropping support):

> Today, we are announcing... updates to SwiftKey that put the Bing AI experience one touch away across any iOS or Android mobile experience that supports a third-party keyboard.

https://blogs.bing.com/search/april-2023/Easily-access-the-n...
> It would have been nice if they had tried a quantitative comparison with the Risc-V RV32I

It would. If they had a Time Machine. ZPU is over a decade and a half old… Back from from when we called RISC-V just "MIPS"

But since you asked. It IS small. The smallest sane RV32 core I can find is PicoRV, which uses 750-2000 LUS[1]. SERV [2] does claim to only need 440 LUTs, but its performance (most instrs take over 32 cycles) makes even ZPU seem speedy... The ZPU uses 442 LUTs[3].

[1] https://github.com/YosysHQ/picorv32

[2] https://github.com/olofk/serv

[3] https://opencores.org/projects/zpu
Ah ok just criticisms come free ;)
There is no cure for blindness? What kind of blindness? Even a popular entertainer made news when curing 1,000 cataracts with a today's standard procedure. How would cataracts be cured 500 years ago? Bloodletting? Very soon (10 years, 20, maybe more) we will be able to restore full eyesight, even regrow eyes [1], and beyond.

But sure, cling to dusty metaphysics while sending messages at light speed across the entire planet with a detour in Low Earth Orbit using materials which were invented 116 years ago [2], it's your privilege.

[1] "Researchers restore lost sight in mice, offering clues to reversing aging. But many hurdles remain before approach can be tried in people", https://www.science.org/content/article/researchers-restore-...

[2] "In 1907 Leo Baekeland invented Bakelite, the first fully synthetic plastic, meaning it contained no molecules found in nature.", https://www.sciencehistory.org/the-history-and-future-of-pla....
The novelty is wearing off and the reality of parsing hundreds of TBs into hundreds of GB memory blobs you can query by the Kb is setting in.
So how do you protect the privacy of willing actors without violating the privacy of those whose bodies were uploaded without any consent at all?
Microsoft is using illegal bribes in the Middle East and Africa
If a ML model trains on data that is produced on the internet, and we keep getting more and more internet content produced by ML, wouldn’t that mean that this will introduce a natural degradation of quality of all models?
I believe that ML will produce more content faster than the rate of humans correcting it?
Would you like to make bonds with people that will soon die over and over again? I think many people misunderstand the kind of stress and mental strain that many doctors are subjected to regularly. Ironically, people who call for doctors to be more empathetic, often lack empathy themselves.

Also medicine is very broad field, it's probably hard to stay up to date in every new study. Especially that academic research is filled with less than ideal studies, so not only you need to read and understand them properly, you also need to make sure that source is trustworthy.
Well 4chan sure as hell isn't full of Marxist college students quoting theory at each other nor is it milquetoast CNN-style liberals. It is predominantly right wing (in an edgy 7th grader sort of way) to the point of needing kill files to be legible like the old days of Usenet.

At the very least it's not more anarchist leaning like it was 15 years ago.
That's my experience as well. Recently I rewrote a Golang-based QUIC server in Rust and I had a hard time getting it to perform equally well. Certainly possible but requires a lot of hand-tuning and knowing exactly what you do. In Golang you just spawn a Go routine for each request and avoid lock-based shared state as much as possible and you're mostly good, the runtime will manage all aspects like number of threads, allocations etc. for you.

One area where Rust is still better are memory-constrained environments e.g. on mobile and on microcontroller, though there's tinygo and the Go runtime gets slimmer as well, so now you can have binaries and memory footprints smaller than 5 MB on most mobile platforms, which is absolutely acceptable even for budget phones. I think Tailscale e.g. runs their modified version of wireguard-go on all mobile clients without issues.
It's only a matter of time now before we get the first craft brewery and tap room on the Moon.
In some ways, this is a kind of "no shit, sherlock" moment that all machine learning faces. It becomes a dead end, feedback loop like holding a microphone too close to a speaker.

Funnily enough, genomic powered genetics in livestock production has the same characteristics. Without the flow of new phenotypic data the genomic models rot rapidly and become useless for prediction.

Predictive language models powered by older predictive language models will quickly become nonsense.

You have to remember just how deceptive something simple as Eliza was for people who didn't know how it worked.
With cameras (or Android tablets) in every public toilet, i would not say they are not "recognizable". /s
> SQL/JSON simplified accessor (T860–T864)

Where is the doc for this one? I can find Postgres’ own JSON(B) operators, as well as jsonpath (sql/json path language) support, but not SQL-level json paths, specifically the dot syntax.