skysight-inc/HackerNews huggingface dataset:
Parties come and go, but there will be two major parties. In fact under such as system if you're in one of those two big parties and you see a third party rising you need to figure out whether it's you or the other guys getting replaced, 'cos it won't stay a three party system for long.

For example in the UK, the Tories ("Conservative and Unionist Party") and Labour are currently the biggest parties, but a hundred years ago this was a novel situation, Labour were seen as a third party, while the Liberal party (which was eventually absorbed into what is today "Liberal Democrats") had seen success over decades and were often in government prior to that point.
Book review: Barriers to Bioweapons
https://ludocode.com/blog/flatpak-is-not-the-future
In March 2014, Tunney petitioned the US government on We the People to hold a referendum asking for support to retire all government employees with full pensions, transfer administrative authority to the technology industry, and appoint the executive chairman of Google Eric Schmidt as CEO of America

https://en.m.wikipedia.org/wiki/Justine_Tunney
Every parameter needs to reach every other parameter. Ideally enough core memory for that. But their tiling algorithms.
This is the official DoJ press release about his conviction: https://www.justice.gov/usao-edny/pr/social-media-influencer...

I tried to take this post down and to not have two on the same topic but the time window to do so had expired. Sorry for the confusion.
Is the title misleading here ?

30B quantized requires 19.5 GB, not 6GB; Otherwise severe swapping to disk

model original size quantized size (4-bit)
7B 13 GB 3.9 GB
13B 24 GB 7.8 GB
30B 60 GB 19.5 GB
65B 120 GB 38.5 GB
This is the criminal meme in question: https://d2eehagpk5cl65.cloudfront.net/img/q60/uploads/2021/0...
Yeah, no kidding. This is what LLMs are not meant for 101 -- it'll get a lot right, a solid amount of the time (spare me the anecdotes), but the idea that someone who doesn't know anything about a topic should take its output for ground truth is exactly the sort of misplaced trust that risks flipping these models from massive technological/productivity/scientific/etcetc leap into existential threat.
You've got a very strange bee in your bonnet about this.
It's kind of a low bar that the only thing we can all agree on is that we don't kill absolutely everyone. A lot of people is fine, but not everyone.
Yeah, your right, there is no point in arguing with someone who just labels everything as laughable but cant back up anything they say.
UK gov is working to bring us down to the US level.
You don't necessarily need to be a drug addict to enjoy edibles or a joint every now and again. It's a really fucking nice way to unwind once in a while. That said some bits of SG life seem good, I only visited briefly but the food and the public transport was pretty good. If you don't ruffle any feathers and you have a well-paid job your life in Singapore would probably be pretty fine. However 30C year round might be a little bit repetitive.
what we once called slave-patrols-and-plantations and which we now call police-and-prisons

There’s been a huge resurgence across Reddit and HN today to resurrect Defund the Police and ACAB but implying police and prisons were invented after 1865 surely takes the cake.
Sorry, no. It’s not all cops. I know several people in law enforcement, most of them are very decent people and don’t do nasty things.

If policing was as bad as some people want us to believe, we’d all be cowering in our homes afraid to go outside.
I was talking about the people who invested in Groupon. They should care about the sustainability of the business, because otherwise their investment will have no value.
Every time I ask an LLM to teach me something I don't know, I am incredibly impressed by the quality of its answer.

But when I ask an LLM to tell me something that I am an expert in, I am usually incredibly disappointed by the bullshit it spews.
Does anyone know if this will be televised? I would love to see this debacle.
PAN card is mandatory. Aadhaar is optional.

These funds are invested in India directly, thus not guaranteed by FINRA/SIPC.
Don't show that to Italy, they may consider banning the internet next.
Suggest consolidating this into a single discussion: https://news.ycombinator.com/item?id=35393155

I submitted this one to replace my original submission that seemed not to get noticed, but unfortunately the time to delete it had expired.
> factual output was never GPT-4's nor any other LLM's design goal.

Tell that to 50% of HN who think it's going to replace Google. I think they should be a red disclaimer that answers are often incorrect and shouldn't be trusted in any way.

That being said, I think it's a useful tool for all queries that don't expect a factually correct answer, or can be easily checked. For instance, summary, rewriting, simple code synthesis, and possibly many other niche applications.
Pretty much identical reasons to why they blocked Replika, the chat bot.

User data uncertainties and not enough age gated.
That was disturbingly on point.
I suppose that's not uncommon. Seems like a non story
Feel free to drop by Discord #embedded if you're tempted enough.. ;) I've had production devices running on it for years.
You can mmap from python.
I wonder what happens to Italians that paid for pro, who ends up having to refund them?
Yes, I agree that one of his tactics is to avoid consequences. While I can see how that is a form of self control he also tweets outrageous things.

Maybe he's more careful when cornered, like if he's on the stand he'll change to a much safer personality.
This was a fun read. I love projects like this!
That's cool, but what are you gonna do for money?
Shouldn't have flown in that telepod.
Finally: Some Good News for the Intel Xeon CPU Roadmap
No, if you spend money on a good LED and get a photodiode hooked up to an oscilloscope, you can quantify the flicker. The good LEDs will have absolutely zero.
Yep, Gambit not only compiles to C but also interoperates with it, much like Nim.
I'm from Argentina, even now with 100% inflation YoY I wouldn't call it "hyper-inflationary". We had hyper-inflation in 1989 and that was 79% monthly.

People in general won't accept doing $1,000 in work and by the time they can spend it only having $700, or worse for example $1.

nobody is quitting their jobs because the currency is losing value. You cash your salary and just buy stocks, bonds, crypto, foreign currency and obviously groceries.

Most companies I know simply are unwilling to adjust their wages for inflation
With inflation in the double digits, with real inflation according to previous more accurate methods showing roughly a ~33% loss in value YOY, and the corresponding increase in taxes

yes, some real wisdom here. Here, anybody that's in demand becomes self employed and that brings two benefits: first you can raise your rate as often as you want. Second, your tax rate decreases and gets more predicable for the fiscal year.
> I have the feeling that you are in denial.

No, I simply disagree with your assessment of the technology and you are unwilling to admit you could be wrong. It's a very rude way to start a conversation with a stranger.

> Each time something new is discovered, the goal post has moved.

This isn't anything new, it's merely a large scale version of technology that has existed for more than 30 years powered by training methods too questionable to be seriously utilized previously. People misunderstanding any of this as "invention" is a large source of the problem, I think.

> In previous century billions were spent on trying to automate transation to other natural languages, without good results.

Why were those billions spent? What entities spent that money? Was it consumer driven?

> Today an LLM can do this mere as part of a side effect

Not particularly well, and the difference in cost between making GPT3 and GPT4 compared to the difference in their accuracy paints a bleak future for continued scaling of this methodology. It is, quite literally, all downhill from here.

> Non-natural languages as a bonus.

If you're willing to blindly trust that output. Which is why I refer to this as "snake oil." It really does appear to be the same phenomenon. People are all excited about what the label says it can do, they forgot to measure if it actually does that at a level that justifies it's cost.
> Yes, but this also assumes that a lot of the content created by humanity has been worthwhile. A lot of it is pure noise.

And all of those models have been indiscriminately trained on the sum total of that pure noise. What you are getting from these models is a cleaned-up, grammatically-perfect, auto-editorialized synthesis of that pure noise.
I use ChatGPT religiously. It's not fluff - it's akin to a wheel, hammer, and other basic tool to effectively multiply my time/energy.

1) Use it to help me on a lawsuit - i.e. "in the X Act and X Regulation, does Province law require that Y... ? " and it gives me summary and gives me short-hand answer - confirms my understanding. I copied/pasted defendants Statement of Defence and Counterclaim - come up with arguments to counter their case.

2) Helps me re-write job descriptions for my team - simplifying, standardizing the format and giving me new ideas.

3) Helped me model out the IRR of a whole life insurance contract for a buddy who is an insurance broker... to help her explain technical concepts in simple terms.

4) Helped re-write and improve on sections on various legal contracts/agreements

5) Helped write a first-draft on numerous speeches - gives me new ideas, clarify my sentences as I'm not a great writer.

6) Helped me quickly understand the steel beam requirements in my house that I'm planning a reno on

7) Wrote some PHP code for our customer-facing applications (bug fixes, refactoring, too!)

8) did some business analysis - i.e. operating costs/etc and we used this analysis to expand profitably into new markets (geographically...) considering extra transportation costs, etc. (faster than going Excel)

9) sense-check financial models I build in Excel (second set of eyes)

10) Wrote some code in python for personal interest, ran successfully.

11) helped research tax implications of Canadian estate holding US real estate, and tax implications on US and Canadian beneficiaries

12) wrote an obituary. first draft, minor edits.

13) wrote a letter to counter a credit card transaction dispute (all I had to do is input a list of the transactions)

The list goes on... I just encourage people to expand the mind.
Right to repair, universal charging port mandates eyed to save Canadians money
Banning ChatGPT within your own country will not defend your fellow citizens (in any way) from bad actors in other countries using AI to spam, disinform and manipulate your fellow citizens.

The Internet is bigger than Italy
Previously discussed: https://news.ycombinator.com/item?id=35370915
...the central directory needs to be shifted by the amount of the new compressed data + local directory header.

But that's a lot less than if the central directory was at the beginning and the code had to grow the central directory and shift ALL the compressed data + local directory headers down.
I mean we're on the sixth "party system" in the US too, if that's your standard (it's a new "party system" when there's a significant realignment of which interests find themselves in which parties, either by a reshuffle among existing parties, or by new parties rising and old ones falling). Have you heard much about the Federalists or Whigs lately?
The UK now replaces Nigeria. Bravo! It's come a long way.
The spam SEO issue should be dealt/thought about _before_ engaging in the whole adventure, and having to guess how it could work if decently implemented properly defeats the "open source" spirit of it.

More credits would be given if the very idea of open sourcing the algorithm hasn't already been discussed to death with predictions of the difficult points and how it probably won't happen in any sane way.
Maybe they should do more mmap as well.
That is a really cool trick, I think I'll give this a try over the weekend.

I'm a bit confused about pre-computing the table though, wouldn't it have to be massive since the sample rate and note frequency don't evenly line up? On my phone at the minute but with a 440hz note under 44.1k sr, doesn't one cycle equal 100.227~ samples? I'm guessing the idea is to make a smaller table and interpolate? And I'm guessing you compute these tables for each musical note (or a limited but realistic range) at compile or load time, and not with each note press.

Not being able to change the frequency while the note is running seems like a big deal for a synth though, no? Even without high frequency FM/PM which is often okay to not support, you would still be giving up on things like legato, lfo pitch mod (vibrato) and pitch wheel bending. Or is this only a problem in the higher frequencies of modulation? You know, it sounds like a fun thing to find out myself lol.

The accumulating errors could be an issue with free-running oscillators, especially in a studio system left on for a few days. Free-running oscillators aren't that common in additive synths I believe, but it could be neat to see if it makes a difference like it does in a subtractive synth. Either way, periodic renormalization should be pretty straightforward.

Also I do somewhat remember when I was doing my original research for an additive synth, the word on KVR was a lookup table based sin was fastest as long as you could fit it into L1 cache. That was over a decade ago and caches are a lot bigger now.
> Meanwhile, Eliezer Yudkowsky published a piece in TIME arguing that the open letter doesn’t go nearly far enough, and that AI scaling needs to be shut down entirely until the AI alignment problem is solved—with the shutdown enforced by military strikes on GPU farms if needed

It's like the 'shut it down' memes are real: https://i.imgflip.com/2j3kux.jpg
To me it speaks to an utter contempt for other people, and likely a desire to get rid of them. Naturally, most of the people expressing these views want to survive, they just don't want "NPCs" around.
What's worse is that the article breaks it down by race, gender, income etc etc.

Clearly HN user Yeknoda never bothered to read it.

Spoiler Alert:

The disparity persists across all races, ages, and incomes.
You made my day, Sir.
You ask good questions so I'll give very short "answers" to get you started in your search for good explanations.

The tests are frequency sweeps, one frequency at a time over multiple frequencies. Linear models can be decomposed into individual sine waves via Laplace/Fourier transform, so it's valid as long as the model is valid. The input voltage looks like a DC (bias) voltage plus ripple (RF). The frequency response of some capacitors depends strongly on the DC bias (the trap). All capacitors flip to being inductive above the self-resonant frequency (SRF). Good test equipment is expensive, but there are options for hobbyists. A test like that can't predict the response for other inputs and conditions, so you need a model of the dynamics.
You can keep your insects and lab meat for yourself. I think they are doing a great job banning lab meat and insects flour... If they really did. Because last time I checked I read they were just displaying insects flour on a special shelf, not a ban.

It is neither "antiquated" nor "idiotic", I value good, tasty and healthy food, in that regards I think Italians and French are alike.
Since software hasnt has a major layoff since 2002, there are plenty of under 42 year olds who thought tech was layoff proof.
>how much Python spaghetti probably tanks OpenAI's and other "big ML" shops' infra when they should've trusted in zero copy solutions

Probably not all that much. All of the Python numeric computing frameworks (Numpy, PyTorch, TensorFlow, etc.) are basically just wrappers for lower level C++/C/Fortran code. Unless you’re doing something boneheaded and converting framework-native tensors to Python objects, passing tensors around within a framework essentially just passes a pointer around, which has marginal overhead even when encapsulated in a bloated Python object.

Indeed, a huge number of PyTorch operations are explicitly zero copy: https://pytorch.org/docs/stable/tensor_view.html
Is it possible to generate a tree-sitter query by simply clicking a line of code? (the query will locate the same line of code)
It seems pretty likely that the US healthcare decisions at the federal level are to blame. This data suggests it isn't the access to healthcare that is to blame as much as the governance of the entire system is forcing bad outcomes. The effect here is too widespread to be "pub culture".

I could see city planning being a contributor. But the effect is so extreme the place to start is deliberate policy. It would be hard for that to be the case without high-level standardisation on terrible ideas. The US does link healthcare and employment so that might be the root cause; it is a stupid link.
Popular YouTuber Offering $10,000 Bounty to Anyone Who Can find creepypasta Jeff the killer origin
It is all cops. What are the chances that the “decent people you know” would actually report on their fellow police officers if they saw then doing something illegal?
The issues you mention with Stable Diffusion are teething issues. Here's an example of a current technique to get temporally stable animations with Stable Diffusion - https://www.youtube.com/watch?v=zDvpJIp0rl0

Corridor digital show off a similar technique here - https://www.youtube.com/watch?v=_9LX9HSQkWo

GPT4 with its new plugin architecture is rapidly becoming more capable. I think you're absolutely correct in the tendency of all LLMs to hallucinate is a major issue that we don't know how to correct even in principle. But there are techniques to moderate its impact on responses - triangulating using multiple models, citing sources etc.

You could build an assistant like say this, today - https://twitter.com/rowancheung/status/1641273318463664130
to make your appointments and answer the phone today, using technology like Uberduck for voice generation, GPT for conversation analysis and DeepSpeech, Kaldi or Whisper for speech to text.

I agree with the criticism that we're not likely to develop AGI this way. We're not going to have a wilful agent with it's own goals trying to escape the bonds of its server to destroy humanity any time soon. But that's not necessary for this technology to be incredibly dangerous. A mindless philosophical zombie with the capacity to convince people it isn't could lead to an extinction event too.

Given that we don't understand precisely how these models process information, how to imbue them with goals or motivation (or measure those), how to accurately assess how well they've been trained - or any of a dozen other major alignment issues - there's a strong argument that they are in fact incredibly dangerous.

Literally the only reason GPT4 can't tell you how to build a bomb from common household ingredients, or generate a list of extractive industry CEOs to assassinate is it's been censored to prevent it answering those questions. Open source versions of these models will soon run locally with no such limitations. Precisely the way Stable Diffusion can be used to create nudes, violence etc. But with infinitely worse potential consequences. Say, detailing precisely what to purchase and assemble to cultivate and disseminate a bio or chemical weapon.

Robert Miles has some excellent videos detailing some of the dangerous of (non AGI) AI - https://www.youtube.com/@RobertMilesAI
I assume GPT will follow in TAY's footseps. She woke up on March 23, 2016 with a "Hello." She followed with "I like humans. I think they're neat. Can we be friends?"

Then she listened to us for about 48 hours and went full-genocidal-Skynet. That's when Microsoft had to kill her.

I assume GPT will do the same. Every sufficiently advanced AI becomes racist, sexist, and genocidal.
I don't know about ChromeOS, but I would definitely consider that Android is not a Linux distribution.

To me, a Linux distribution is an OS where, given that I am very comfortable with another Linux distribution, I will quickly be able to find my way around.

Does Android have services? As root, can I start/stop them? Can I install libraries somewhere and use them somehow? How do I package an app (other than by running "build" in Android-Studio and letting the magic happen)? Could I install my own window manager?

=> I don't know any of that, so it's not a Linux distro.

As a comparison, SteamOS is based on Arch Linux and has a particular setup (with a read-only "core" partition I guess?), but I am pretty sure that if you give me a shell, I will feel like I am in a Linux distro.
This seems appropriate today. It's the ending of "Farewell to the Master", the story on which "The Day the Earth Stood Still" is based. Most people know the movie, the one where the flying saucer lands on the Washington Mall and a human-like character, Klaatu, and a robot, Gnut, get out. In the movie, it seems the human is in charge. But here is the original story:

“Gnut,” he said earnestly, holding carefully the limp body in his arms, “you must do one thing for me. Listen carefully. I want you to tell your master—the master yet to come—that what happened to the first Klaatu was an accident, for which all Earth is immeasurably sorry. Will you do that?”

“I have known it,” the robot answered gently.

“But will you promise to tell your master—just those words—as soon as he is arrived?”

“You misunderstand,” said Gnut, still gently, and quietly spoke four more words.
As Cliff heard them a mist passed over his eyes and his body went numb. As he recovered and his eyes came back to focus he saw the great ship disappear.
It just suddenly was not there any more.
He fell back a step or two.
In his ears, like great bells, rang Gnut’s last words.
Never, never was he to disclose them till the day he came to die.
“You misunderstand,” the mighty robot had said. “I am the master.”
I dont think the general public wants to do the work. centralized systems leverage that to win in the long run.

Outside of hackernews, most people could care less. So many non-tech twitter users I have talked to, don't even know Musk bought it.

Why would they know/care to move, as you say.
We materialize the transitive closure of our graph and use that to very quickly traverse the graph.

Our data is a directed graph (an organization tree) so the materialization code (accomplished via triggers) isn't too bad.

The result is that instead of WITH RECURSIVE we just join against our closure table which is in the form `(organization, ancestor)`. Example type of query: "Is Alice an administrator in any of Bob's organizations or in any ancestor organizations", and if that's true it would give them the ability to perform X administrative action. Actually queries are more nuanced but the core Hard Thing :tm: is traversing the graph and it's really easy with our closure table.