skysight-inc/HackerNews huggingface dataset:
But what if someone moves or simply uses hardware in a different region that's sold? What if the laws change?

The correct 'work around' is to build a kernel with a DEFAULT regulatory domain, abstract from any vendor's specific implementation, allow that domain to be updated at runtime (particularly for mobile devices), and follow the laws there in. I also advocate (in this post) for wifi_regulations=BREAKTHELAWANDDISABLE (allcaps required) to completely bypass filtering channels. This would be useful in some situations such as isolated testing environments, use in International Waters, and any other environment that's isolated enough.
It’s from a place of love my friend, a Tweet is but a Tweet. Your inner peace is more important. Take a nice walk. :-)
Criminal Court Issues Arrest Warrant for Putin
You get off HN and see a mental health professional immediately.
Idk, I think I still want them to be private. One example from just a few days ago was an ecto schema module that had a number of changesets. admin_changeset, director_changeset, manager_changeset, normal_changeset. Each one only differed from the others a bit, so the common code was factored into three or four helper functions that they each used as needed. Any of the *_changeset functions in the public API would always produce a working changeset, but the helpers could produce an broken changeset if not used correctly. (i.e., a changeset that would never successfully validate.) The helper functions are private to prevent misuse of the schema's api, but they also need to be clearly documented in basically the same way I would document the public functions. It just bothered me a bit that I couldn't use @doc for, quite literally, documentation.
Not anymore - https://www.moneyland.ch/en/numbered-bank-account-switzerlan...
It is unlikely that a given open source project would organize their tags along the lines of "Tiger 10.4.11"
UK backs Rolls-Royce project to build a nuclear reactor on the moon
Ouch, I just bought a gigabyte b650 because reddit told me the intel wifi would play nicer with ubuntu than a realtek card. I don't know who to believe anymore.
> So I wonder if Putitn attends the G20, which he has done in the past, can he be arrested there ?

Maybe, but even with heads-of-state where there were less in the way of, shall we say, practical deterrents, that has been problematic to make happen (e.g., Al-Bashir of Sudan, while he was in office.)
Give a non-technical (cant even shell) project manager access to ChatGPT-9001 and they still cant make anything useful

This plainly isn't true ("can't make anything useful"), given the examples we've seen. It might be buggy, or not integrate so well (or at all) with other stuff you have. But it obviously can generate code that does useful stuff.

Lack of shell skills is a non-issue (anything that can be done in the shell can be done over a webform).
Tweets by a professional journalist with employer name in bio are a grey zone, but tweets from a super Mario fan account are firmly not journalism.
This was already the case 10 years ago.

Except, there was no AI, but an alternative called an offshored development center. You would send your spec and design document and get, via email or FTP if they were really cutting-edge a number of files that would sometime compile and even, according to the legends, actually work. The way this tech worked is that you generally had to wait overnight for your spec to "mature" into code.

Some places figured out they could hire local engineers for about 5-10x what they paid for this "offshored development center" tech and get better results.
"disneyland without children"
IMO the metric should also consider how long it took them to patch it. Everyone has zero days, that's life. But there is no excuse for not patching a critical vulnerability.
Thats whole point - he can’t leave Russia anymore. And he’s been hiding in his bunker anyway.
Are there estimates for how much it cost to run?
This is so wrong:

>With 1 core it is always serialgc

Even with 1 CPU ParallelGC has lower latencies than SerialGC on 1 CPU. SerialGC will be better on environment with limitations on number of threads, not number of CPUs.

> 2 cores and less than 4 gb - concurrent mark and sweep IIRC

CMS has been deprecated in 11 and removed later in a non-LTS release. JVM ergonomic will automatically turn on >G1GC< when it detects JVM has at least 2 CPUs and 1792Mb of RAM (not heap, memory in total). When either or both numbers are lower then ParallelGC is enabled automatically.
EU climate agenda at risk after German pushback
it had 4 movement as its base, the numbers over its head were a bonus movement status effect (used for testing this stuff)
Spectacles drive the news. It's easier to frame a negative issue as a spectacle than a positive. Say you have a local festival. That's supposed to happen. There's no news there except for the time and date the festival is open, and any new or interesting things can be found by going there. Car drives into a festival and runs over some people? Wow, unexpected. Might wanna read about that and get the details.

But if your local high school football team wins a state title? You'll sell that paper out. Local refinery explodes? Likewise.
Theres another one similar to A but perpetrated by the Marketing Industrial Complex.

What chance do you have when Facebook or Google decide to dedicate a GPT-4 level LLM to creating AI-generated posts, articles, endorsements, social media activity, and reviews targeted 100% AT YOU? They're going to feed it 15 years of your emails, chats, and browser activity and then tell it to brainwash the fuck out of you into buying the next Nissan.

Humans are no match for this kind of hyper individualized marketing and it's coming RIGHT AT YOU.
> Americans are fat, through they aren't twice as fat as other people

They are, almost:

"US obesity prevalence was 41.9% in 2017 – March 2020"[0]

"25.9% of adults in England are obese"[1]

[0] https://www.cdc.gov/obesity/data/adult.html
[1] https://commonslibrary.parliament.uk/research-briefings/sn03...
Your blog always blows me away with how different and fun it is. I only dream of being that authentic online. I love the call-outs from the specific personalities. So great!
If someone says that and shows a working prompt, that’s what the debate should come down to. It’s over. The person with the working prompt wins.
Mom, dad, siblings. Anyone snacking on it will have it on their faces, finger tips. It'll get on the counters and floor. And find its way on a bottle nipple, blankets, sheets, fingers, etc.
GraalAOT, do you mean native image or C2 compiler? Neither of these tuning is applicable in a discussion about GCs
Man, I had an Israeli boss that turned me onto Bamba. Loved that stuff.
Sure, but are the languages that Graal supports diverse from the perspective of the assumptions they make? E.g., it's not surprising to me that any JVM GC would work for Java, Ruby, Python, etc since all of these languages idiomatically allocate lots of garbage like allocations are cheap (they all "look like Java" from a memory management perspective). On the other hand, Go assumes allocations are expensive and it tends to make fewer, larger allocations (the tradeoff is that it can have a relatively simple, low latency GC). It's not clear to me that a single general purpose GC (i.e., it's performant for all cases, not just the things-that-look-like-Java case) can exist, but I'm also not a GC expert.
You're "disproving" the article by doing things differently to how the article did. If you're going to disprove that the method given in the article does as well as the article claims at least use the same method.
From the article.

> Occasionally it does make an illegal move, but I decided to interpret that as ChatGPT flipping the table and saying “this game is impossible, I literally cannot conceive of how to win without breaking the rules of chess.” So whenever it wanted to make an illegal move, it resigned.

But you can do even better than the OP with a few tweaks.

1. One is by taking the most common legal move from a sample of responses.

2. Telling GPT what all the current legal moves are telling it to only respond with an element from the list.

3. Ending the prompt with the current sequence of moves and having it complete from there.
If you zoom-out a ship is just a small island, a rock or something floating around in the water that can be used as a pit-stop. If birds evolved to judge something as useful to rest - these birds just see a higher quantity of pit stops. Would be interesting if they lower the required calories to make the trip beforehand as time passes.
https://archive.ph/ivJYj
I've wondered how feasible this would be. In general, I think the other commenters are correct that GCs tend to be intimately tied to the runtimes. But the JVM now has an interface for garbage collection (https://openjdk.org/jeps/304), which might make the GCs easier to extract and use in other projects. I'm not aware of anyone trying though.
I've wondered why got doesn't ask questions - that's a basic expert skill.
Radicalisation against a system you've bought into looks like terrorism. Radicalisation against a system you haven't is freedom fighting. Congratulations in getting old and selling out.
> So whenever it wanted to make an illegal move, it resigned.

Making an illegal move counts as losing by the laws of chess, so this is essentially correct
That itself is an order of magnitude speed up. Even if AI never improves beyond this point (and it almost certainly will improve), it's already a game changer.
You need to replace the civil engineer there (in today's world this is an inspector, I don't know for sure if they are professional engineers or not) for it to be useful, but you still need to have someone not working for the contractor who's incentivized to fake it.

The trouble with many of those construction examples is that they're point in time. Installer fucks up how the windows are installed re: flashing and water-proofing, but then puts the siding over it... the error is now completely hidden.

You could automated the inspection by AI photo analysis of every single window install on the project, say - but we could already do that for the inspection vs sending someone out, and send the photos to the expert instead, and we don't. Whether that's for lack of incentive to improve, or for ability to go deeper out of distrust for builders? I don't know.
> Fine, just wrap the LLM in a simple function that detects illegal moves and replaces them with "I resign" or "I cannot conceive of a winning move from here". Then you aren't "reinterpreting" anymore.

Then it's still isn't anywhere near ELO 1400.
It’s a cliche by this point. But it was proven in research that because peanut puffs (most common brand name is “Bamba”) snacks are so common in Israel the rate of peanut allergy is so low
It's inevitable that LLMs will plateau. They'll increase their abilities in certain areas but ultimately core flaws of their architecture and training approach will likely require another rethink. Unclear what that is yet (though Yann Lecun seems to think world models are the path forward).

We've gone through the "hype" phase. Now I suspect the next few years will be a lot of growth finding how to apply LLMs, creating good interfaces for them, and running them cheaply. Paying OpenAI for API access without true fine tuning, etc. is a hard sell.
All week I've seen basically two dominant takes about how AI is going to impact creative work in the future (three if you count "generative AI is a fad with no value," which I do not): (1) It's going to take people's jobs (rip); or (2) It's going to help people do their jobs better.

I'm a writer and have been thinking a lot about use case (2)—since I'm not emotionally ready for my job to be taken by AI, I'm trying to figure out how to use AI to do it better. So far, I've been exclusively considering the use of AI in the sense of the "photographers using photoshop" analogy. That is, using GPT-4 to quickly draft or edit things based on prompts, while I, the human, am still "doing the work" creatively speaking. Obviously this is feasible today and going to become normalized soon, to some extent.

However, this article makes an interesting case for (2) in a way I hadn't considered before: GPT-4 opens up entirely new ways for humans to work, period. ChatGPT already improves on Google for high-level research—ask it for a summary of some well-established topic or field and chances are you'll get a coherent and set of pretty-accurate facts cobbled together from its training data (much of the Web, Wikipedia, scientific papers). But when tools become available that let ChatGPT provide this kind of summary from my own works, notes, and prior research? That is going to totally change the game.

In the last couple years I've already seen easily a 2-3x boost in my writing productivity thanks to Obsidian, a research tool that—at least the way I use it—is entirely "manual" (i.e. not automated or "smart"). If I could get the benefits of Obsidian for making connections between information and ideas, powered by an intelligent assistant that "knows" how I think and what I think about... it's cliché to say the possibilities are endless, but that's really what I'm looking at here.

Anyway, I want to inject some optimism into this hot topic. It may end up that in 10 years we're all unemployed. But I still need to do my job today. I see a lot of reasons to be excited, rather than defeatist, for the applications and value of GPT-4 in this regard.
big 4 consultants in SHAMBLES right now
thats also not a correct formulation of the problem, as it needs to minimize the number of fire tiles it passes through. which is where a lot of the complication comes from.
On their GitHub repo (https://github.com/tatsu-lab/stanford_alpaca) they've added a notice:

"Note: Due to safety concerns raised by the community, we have decided to shut down the Alpaca live demo. Thank you to everyone who provided valuable feedback."

So probably this was the usual type of people complaining about the usual type of thing.
https://archive.is/BraBZ
We need more privacy conscious talented tech folks like yourself to do the work without shortcuts. I think you should start a company doing this work with like minded folks and sell the service!
> ...and public school kids are gonna get AI teachers with one real teacher per hundred or so, and bunch of even-lower-paid monitors (or whatever they end up calling them) to maintain order.

The term is "paraprofessionals." When I was a kid, these were the people who supervised the kids playing at recess.
The full story for those curious, from Plato's dialogue Phaedrus 14, 274c-275b:

Socrates: I heard, then, that at Naucratis, in Egypt, was one of the ancient gods of that country, the one whose sacred bird is called the ibis, and the name of the god himself was Theuth. He it was who invented numbers and arithmetic and geometry and astronomy, also draughts and dice, and, most important of all, letters.

Now the king of all Egypt at that time was the god Thamus, who lived in the great city of the upper region, which the Greeks call the Egyptian Thebes, and they call the god himself Ammon. To him came Theuth to show his inventions, saying that they ought to be imparted to the other Egyptians. But Thamus asked what use there was in each, and as Theuth enumerated their uses, expressed praise or blame, according as he approved or disapproved.

"The story goes that Thamus said many things to Theuth in praise or blame of the various arts, which it would take too long to repeat; but when they came to the letters, "This invention, O king," said Theuth, "will make the Egyptians wiser and will improve their memories; for it is an elixir of memory and wisdom that I have discovered." But Thamus replied, "Most ingenious Theuth, one man has the ability to beget arts, but the ability to judge of their usefulness or harmfulness to their users belongs to another; and now you, who are the father of letters, have been led by your affection to ascribe to them a power the opposite of that which they really possess.

"For this invention will produce forgetfulness in the minds of those who learn to use it, because they will not practice their memory. Their trust in writing, produced by external characters which are no part of themselves, will discourage the use of their own memory within them. You have invented an elixir not of memory, but of reminding; and you offer your pupils the appearance of wisdom, not true wisdom, for they will read many things without instruction and will therefore seem to know many things, when they are for the most part ignorant and hard to get along with, since they are not wise, but only appear wise."
I want to know what the author's ELO is (forgive me if it was disclosed and I am unobservant).

Maybe ChatGPT trainers will eventually have ELO's.
> Highly smart people sometimes say or do little things when foraying into other fields that causes domain experts think they're not one of them

This is the opposite of that, a highly trained but dumb entity that has seen many lifetimes worth of games but is still tripping up on basics. But since it is so highly trained you can mistake it for a master if you squint and don't look into what it is doing.
For adding water to Scotch.... I certainly do it. Here's a handy little video guide to the practice from one of my favorite reviewers:

https://www.youtube.com/watch?v=Mf_QU9EmvzY

And for a more academic take on the question:

https://www.nature.com/articles/s41598-017-06423-5#Sec11
^^^ This right here.

Most daily-or-faster reporting is so shallow that consuming the information may, at times, be a net-negative to your understanding of whatever issue they're reporting about.
It’s entirely possible the propeller would be not damaged by rain but would still be damaged by a much larger “glob” of fuel.
Yep. Actually it can be hard to find an appointment w/ a specialist so you should see your primary care provider for help ASAP and get a referral to a specialist.

Try (1) SNRI or SSRI antidepressant (your doc will probably need to tweak your dose and try more than one drug), (2) exercise, even a little helps but if you were training for a marathon that would be ideal, (3) talk therapy, (4) spirituality, pets and other sources of meaning.

You should go at all of those with full force as depression can kill you just like cancer can.
Vid2Seq: A pretrained visual language model for describing multi-event videos
an augmented LM with time tokens to predict event boundaries and textual descriptions in the same output sequence
> However, the virtual machine is then unable to compensate if you make a poor choice.

> Test your systems under full load with Xms off and adjust, measure, experiment, repeat.

precisely what I'm saying.
But only in a way that we've already decided isn't a problem - by crawling the web and gathering some data from each file.

Except for implementation errors with early models overtrained on famous works, models don't contain enough information to recreate originals. It's not a compression algorithm.
When business A's lightly technical aware AI operator asks their AI for a solution to push payment information to a bank B and describes it, and A's AI talks to the bank's AI and they coordinate the creation of the API then A's and B's AI talks to their respective production counterpart AI's and they create the implementation and put it into production; I feel we programmers will mostly be obsolete.
The sun appears slightly yellow because the atmosphere scatters blue light more than the rest. The result is the sky looks blue, the sun is slightly yellowish, and the cumulative light (both directly from the sun and diffuse light from the sky) is white. Outside the atmosphere, our sun appears proper white.
Sure, but all of those languages "look like Java" from a memory management perspective. Namely, programs written in those languages idiomatically assume that allocations are dirt cheap (bump allocator) and thus they allocate a lot of garbage. A language like Go tends to assume allocations are more expensive (tradeoff for a simple/non-moving, low latency GC) and consequently makes fewer, larger allocations. It's not obvious to me that a single GC can support both extremes performantly.
Agreed. It's hard not to get overly excited after playing around with some of these models and seeing what they can do, though.
Yes, that's basically the rational that Jose Valim (or was it someone else?) gives when asked. I still document almost every defp function in exactly the same way I document regular public functions though. (Why is it here, how should it be used, any gotchas to be aware of, etc.) It's just weird that I can't mark the exact same type of information using the same @doc syntax everywhere.
It's enough for me to not use it, honestly.

I can tolerate no longer remembering everyone's phone numbers since I started using a cell phone, but I'm not eager to give up thinking. I don't want to get into the habit of reaching for ChatGPT when I want to write someone an email or post a comment on HN.
No one should be shocked that a gimmicky reality TV show that had 600lb contestants with lifelong eating disorders shed weight incredibly rapidly while living in a house for a month with fellow contestants didn't provide long term solutions to their underlying mental health and food addiction issues.

The biggest loser was the equivalent of turning drug rehab into a gameshow and putting it on TV.

It's maybe interesting in the context of addictions and disordered eating habits, but not really relevant for general weight loss, weight management or physical health for most people.
That's actually my favorite part of the movie! For anyone who doesn't remember the scene, Bond has just realized the true magnitude of Goldfinger's scheme, and Goldfinger calmly asks if his drink is tart enough. I've never had a mint julep so I haven't been distracted by th accuracy there, but I can see how it could be distracting fo a julep aficionado.

The book and movie are not too much alike. I re-read (most) of it recently and found it to be in the "Flemming at his worst" pile. Whereas the movie is almost certainly the best Bond movie.

One thing I did like about the book, at the beginning Bond goes for dinner in the US with an acquaintance, where they have iirc crab legs and buttered toast. It's delicious, and Bond is disgusted at the opulence of it. They begin the meal each drinking a tankard of champagne. The whole scene makes me very hungry and thirsty.
No, that was never factual. Radiocarbon dating gives us evidence, factual without the lense of perception or opinion. Saying the earth is 6000 years old is just repeating propaganda.
You seem to be contradicting yourself. I want to pursue a philosophy degree, but you say no, I should pursue wealth maximization instead. Then you say wealth can free my time to do what I wish, but what I wish is to pursue a philosophy degree.
This would be an acquisition intention that's not been announced or registered already? Anything's possible, but it seems silly to worry about things like that.
Even that isn't correct - the stress in "president" is on the first syllable, not the second.

It's interesting to me that both errors lie in the domain of spoken rather than written language. I wonder whether they'll persist in multimodal models trained on speech, as well as text and images.
The Transactional Interpretation of Quantum Mechanics also says this[1]. Retrocausality and non-locality are why a lot of physicists don't like it. It's just an interpretation too, but is otherwise consistent with all other QM theories.

[1]https://en.m.wikipedia.org/wiki/Transactional_interpretation
Displacement mapping actually changes the mesh though, so its no longer a simple mapping that can be implemented in the pixel-shader step alone.

------

IMO, its important to understand the limitations of pixel shading, because its an important step in the modern graphics pipeline.
I’m doing rideshare while I figure out what I want to do next and it is soul-crushingly manipulative.

Lyft, Uber, DoorDash, etc are all horrible, terrible, awful companies and I cannot wait for them all to fail.