skysight-inc/HackerNews huggingface dataset:
> You haven't given any alternative answer to how it does this either.

I have. You refuse to accept it, but I definitely have given an answer that involves tokenization and association, the things we already know LLMs use to construct their responses.
In my country a Nazi or a Communist site would simply be shut down with a court order, because that sort of thing is illegal here.

See - it actually works. There's no Nazi party here. Nobody is marching with Nazi flags. And nobody is hosting Nazi sites.

So pass a law that criminalises Nazism like most European countries have done.

I prefer clear rules of what speech is forbidden and not having extra-judicial punishments for speech that is legal.
Show HN: We are building an open-source IDE powered by AI
Regret is a natural part of any long term choice.
Parquet is cool. What isn't so cool is that, e g., partitioning isn't supported on all platforms out of the box. Hence, reading a set of files created in one language may require extra work in another language. Partitioning should be supported in all languages.
> Combat Methamphetamine Epidemic Act of 2005 (passed as part of the patriot act)

This change was passed under special anti-terrorist powers? (Not US so possible misunderstood)
Interesting. Will the term "self fulfilling prophecy" apply here? I mean, that's how the stock market work, right? Something or someone introduce fear (impending war, possible crash of the dollar, etc.), get people talking about it causing more uncertainty, and the cycle continues, thus fulfilling the original premise.

I'm not a geopolitical expert by any means, but if there was a time to make a move against the US, this would be it for sure.

I mean, by the looks of it, the Western doesn't "feel" that hopeful. Just look at the US alone:

- Patriotism is on an all time low (per NYT);

- Social divide is on an all time high;

- Highest inflation in +30 years;

- Afghanistan's debacle;

- Proxy war with Russia got the American people basically divided between spending that money at home and striking a deal between RU & UA. vs helping Ukraine defeating Russia;

- US culture is getting a pushback from other countries (mainly in the African continent) that think the US is trying to impose their morals upon them (it's not that far fetched if you think about it). This is affecting US relations with those countries to the extent that they prefer to align with US "frenemies" instead of the US per se;

- US foreign policies pushing together countries that were/are still enemies, bringing forward the old saying `the enemy of my enemy is my "friend"`.

This decade will be really interesting, to say the least.
No one thinks 10% of users at Google scale is a small number, or 3% of people at America scale.

Also it's poor taste to compare power users who want 5M+ files to blind users, as if both groups deserve equal effort to protect their interests.
> Putting the whole team in a room every week is just going to churn the plan constantly

Yes, that's the point, that after each week (or two) of work, we've learned more and the plan already is outdated and needs to change.

> inputs likely aren't changing with that frequency

In my experience, they absolutely are unless you're building the simplest CRUD app that's identical to one you've built before. The inputs are less often changes from external stakeholders, and more often tasks that are turning out to be more difficult than hoped.

> and you aren't going to be able to pull in all the other stakeholders that often anyway

Of course you are. It's the PM's job to gather the new inputs, go check in with relevant stakeholders (takes a day or two at most), update or re-confirm their priorities, and then make the updated decisions for the next sprint.

In my experience, 15% of time spent each week on planning is about right. It doesn't maximize the productivity of each person coding, but it hugely maximizes the productivity of the whole team in delivering a valuable end result.
>complexities of hardware provisioning

This is hardly an uncommon problem outside of machine learning.
They would end up in court, but more likely they will flee while the bridge to Russia still stands.
That's what you say now, how do we know you won't flip flop?
The biggest reason for me was to reduce compile times, which got cut into approximately half when I replaced STL containers with simpler custom ones. This starts adding up in large projects, where lots of files end up including the ECS.
Even better, government workers in the US get pretty generous PTO too. It works on a bit of a "banking system" but 25 days + holidays isn't even particularly impressive for a Government position of that seniority.

https://www.opm.gov/policy-data-oversight/pay-leave/leave-ad...

You could pretty easily match that amount of PTO for a comparable position.
I worked with one person who weaponized pedantry. He thought he was educating everyone by being a complete stickler for his specialized vocabulary and would never just answer a bloody question, wasting everyone's time. He thought he was Socrates but he was the hemlock. Similar to a good project manager he was like a chain-saw: very effective, but you always want the tool pointed away from you. It also meant you really thought about whether you could get what you needed done with any other tool rather than pull out the chainsaw. Ultimately this kind of behavior is a productivity sink; forcing everyone into your rules because it'll be so much better when everyone just complies with how you need the world to be means getting worked around and giving the pedant's work to someone more pleasant to work with.

Please note: I'm not dinging people who sincerely need structure to help them function. This was a conscious choice just to be a jerk because in that person's opinion everything would be great as soon as we all thought exactly like he did.
> Which countries has Russia invaded prior to the conflict that began early 2007?

Uh, if you have to go back 15 years to find a point where a country isn't invading it's neighbors its going to be super understandable that in the past 15 years countries have wanted to join a defense alliance.

Keep in mind, the USSR only collapsed in 1991 so the question you're asking is what aggressive actions has Russia done in the first 26 years of it's existence to make other countries scared of it.

Of which you have Chechnya (~1999), Georgia (~2008), Ukraine (~2014).
It is really hard to get a "feel" for a city as a tourist, because almost by definition you're going to be in the "central/old" area or traveling to the central area from a cheap hotel on the outskirts somewhere, and those are optimized for tourist activity.

I also found walking in Rome and Paris to be as fast as transit, but I'm not going to even begin to pretend the vast majority of "average" Romans or Parisians live within the 'old city'.

It also helps that almost by definition the 'old cities' in Europe are very old and quite compact. Once you start trying to get to the "central business district" instead of the "city center" it gets more American-esque, but still doable.
In general used car prices/trade-ins were sky high last summer because of lack of new car availability. Not sure what it's like currently. My sense was that supply chain woes had eased somewhat.
Why was this flagged?

Are people trying to block ChatGPT news or something?
Are you saying that chatgpt wouldn't be able to achieve the digestible bites you're talking of? In which case, at what point do they become digestible? Is that not dependent on the skill of the person doing the digesting? and up to the engineering lead to determine?

I have never once stated that the work the juniors are doing isn't real or interesting, that's an assumption you've made, and I'm trying to state the contrary?
The more difficult situation is the legacy software with all of those problems that actually makes money.
> Such things as air quality management are good use cases. You can't use your phone to do that.

Why not? I am strictly against IoT in my household so I may be way off base, but why can't your phone control your air purifier?
> That depends what you mean by "checkups"

Exactly. There's no set definition for "annual physical exam." This article notes you shouldn't be regularly checking for uncommon health events, but instead check for common events, especially if the patient's family history warrants. That's why blood pressure, weight, A1C, triglycerides, and cholesterol are good things to regularly check for in Americans as the typical American diet tends to cause problems in these areas.
Repeating radio signal leads astronomers to an Earth-size exoplanet
It's also kinda related to how NTSC works - the color signal is at a frequency and phase such that it falls inbetween consecutive horizontal lines (e.g. pixels), so that when played on a black and white TV that isn't aware of color, the chrominance (as opposed to luminance) isn't visible since it occurs when the beam is advancing.
https://archive.is/Xz8wT
Yes, we all know that this move was played out by those sneaky Americans. 4D chess that invasion of Ukraine /s
Because of all the ways in which it's obviously not a reasoning actor, starting from the design of the system, and all the ways in which it is literally engineered, by design, to output text that sounds like a human wrote it, based on consuming the Internet.
If you have time, you can go backwards out to the regular airport and mail yourself anything you don't want to throw away.
You speak of civilized nations, but very generally. I'll ask my friend from Donetsk for the list.
The Google headquarters at King’s Cross, designed by the renowned architects Thomas Heatherwick and Bjarke Ingels, is a dazzling edifice of glass and steel, a symbol of the company’s prosperity and ambition. But behind its shiny facade, there is a storm of layoffs and discontent, a stark contrast to the image of success and innovation that Google wants to project.
Ah issue is that some (most?) architectures can't do math without messing with registers such as an accumulator, carry flag, negative flag, etc. While it looks convenient, I'm not sure I'd feel very confident about what happens with the CPU state using higher level syntax like that (especially if you want something more than a trivial addition)
Definitely possible. I know of a project that used an event-based architecture to decide when to run ECS systems.
But it still gets it wrong even there! Nein is a homophone, not a rhyme with 9. Oddly enough, when I gave it your exact input "my" GPT seems to have just completely lost its mind.

Input:

I found this sequence: "0, done, 2, free, 4, hive"
Reason step-by-step about the pattern.
Consecutively continue the sequence with four more entries.
Consecutively reflect on your answer and fix mistakes in case you broke the pattern.

Output:

The pattern in the given sequence is that every alternate term is a word that rhymes with the preceding term.

The first term is "0."
The second term "done" rhymes with "0."
The third term "2" does not rhyme with "done."
The fourth term "free" rhymes with "2."
The fifth term "4" does not rhyme with "free."
The sixth term "hive" rhymes with "4."
Therefore, the pattern is:

a number
a word that rhymes with the previous number
repeat
Continuing the sequence:

6, dive
8, late
10, pen
12, delve
Reviewing my answer, I didn't break the pattern, and the sequence follows the pattern correctly.

EDIT: Ugh! Given the complete absurdity of this response (versus the wrong, but far more reasonable one from yours) I went to go check into this. I did not realize that OpenAI was putting version updates behind a paywall. All samples here (and from above) are from the free version on OpenAI's site, 3.5. And it's too late to my edit my earlier post.
For $3, you can buy a rather inefficient thermoelectric heat pump[1]. It is still more efficient than a space heater though.

Any old refrigerator is also a fairly good DIY heat pump - and if you design it right, you can easily get a COP of 4+. Obviously a typical refrigerator will only do about 600 BTU/h. But thats still plenty for super insulated rooms.

[1]: https://www.aliexpress.com/item/1005001621702934.html?
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Creativity is making unexpected connections, applying a twist that doesn’t logically follow from what came before. This is the opposite of what these models are designed to do, which is to give the most likely next word.

On the other hand, raising the temperature should allow unlikely sequences to be output, provided the model is trained on enough unlikely sequences as input. Also, most creative work does not require much creativity, so just a little human guidance may go a long way.
Achilles Heels for AGI/ASI via Decision Theoretic Adversaries
US bureaucracy is the cafeteria for our unending food fights, pitting Profit Motive against Moral Panic.
No shit sherlock.

"Video streaming won't hurt DVD sales, people preferring video streaming over DVDs will."

"Online news won't hurt paper print, publishers publishing online instead of in print will."

"Guns won't hurt you, people shooting you with guns will."
I think you’d have to go further back to have better context, April 2021 was pretty frothy.

But yes, the job market has cooled dramatically.
It’s because legal risk matters more to them than end user satisfaction (of a specific end user group maybe):

Option a: admit they screwed up and open themselves up to additional legal risk by doing so
Option b: minimize the damage done and annoy the hell of this end users.

Large corporations will always pick option b.
While this is nice, you still lost access to the hardware you own for two weeks because the manufacturer refuses to admit the design flaw.
Why are gluons needed to hold quarks together. If the 3 are in a line, equally spaced, with the oddball charge in the middle, they will attract quite strongly.

+2. -1. +2

If these charges are equally spaced, the attraction of the middle one in stronger than the repulsion of the outer two.
PCIe lanes: it's not that important since the data exchange between host and device during inference is pretty minimal. For model parallel / tensor parallel you want fast interconnect between GPUs, the ages old tech for this is PCIe switch, the fashion ones are NVLink, neither are consumer hardware so don't bother.

PCIe 5 NVMe: That's completely irrelevant for inference, as you really want to keep all weights on the GPU VRAM. It only speed up the initial weight load from host to device.

max GPUs with max memory: Yeah. For personal use (batch size = 1) VRAM size AND VRAM bandwidth is more important than FLOPs. See https://orenleung.com/is-chatgpt-175-billion-parameters-tech.... For production it's a tradeoff.

> How long before a consumer component machine for less than $10K can do inference for a gpt 3.5 turbo quality model?

$10k is a lot. You can run LLaMA-65B on 2x4090, won't be fast enough for production though. But given that people happily run LLaMA-13B on their MacBooks I guess we are okay with generation being slow. And personally I don't think gpt-3.5-turbo is that big, it should be around or even smaller than LLaMA-65B.
I don't see the relevance of your comment, would you mind explaining?
That was pre-NATO in 1939-44. This counts as history, but not the reason to expand NATO post 2004.
> what is the end game for ukraine if putin decides to nuke it?

Yes, this is what Putin's propagandists are repeating all the time, threatening to use nukes not just on Ukraine but also on Great Britain and other countries. Apart from the obvious absurdity of contaminating their own land, the big question is, should we agree to all Putins says just because he can use nukes? Is there any limit on what we will do to please him?
I'm all with you about the principle i.e. that having the biggest number in a set (whether or not that number is even still minoritary by itself, though that does make the claim even more ridiculous) doesn't imply being the best let alone a necessity. Otherwise it would boil down to the classic "eat shit, billions of flies can't be wrong".

That being said, there are actual factors for which the US might indeed plausibly be the best location choice specifically for most AI companies in the current hype context. For example funding:

* while there is also some proportion of actually promising sustainable business models based on AI, the fact is that a very large proportion of AI companies are surfing on a hype/bubble and have somewhat of an exit strategy (e.g. being bought by some bigger player) but not a business model that would otherwise sustainably stand on its own feet.

* the US is arguably indeed the best location for most high-risk ventures in need of big funding… including and especially so for hype/bubble surfers. Nowhere else can you find that much early investment money with such a willingness to take risks and to ride a hype/bubble. For most AI companies, the US as a location means they are able to raise more at a better (for the founders) valuation.
That's because the UMC204HD has a monitor built into the device, GP doesn't need any software to do that.
For people looking for development tools with GPT. One of the best is CodeGPT, with already 350k+ downloads on the visual studio marketplace: https://marketplace.visualstudio.com/items?itemName=DanielSa...
Maybe fun isn't the right word, but the best startup engineers that I've met found great satisfaction in their work. They enjoyed the engineering, the subject matter, and the process of learning.

It is closer to the type of "hard fun" one has training and running a marathon, than the "easy fun" of watching a movie or playing a game.
Okay, so Ukraine didn't join NATO and then they were invaded.

That doesn't sound like it's a message worth listening to.
This guy took inspiration from him and is 3D printing more variations on these illusions.

https://www.youtube.com/watch?v=22x4aALI0VE
If US backs from NATO expect nukes in every country.

It's already bad for us in Poland to not have nukes and capability to nuke Moscov at will. We were developing nukes in 80s but guy got assasinated (either RU or US).
Tiny, cheap smart speakers unlocked the rise of digital payments in India
Constructs like Lisp's CLOS and dd hoc polymorphism can provide the same benefit.

You don't need a class/trait/etc enforcing a contract on data. Instead you can keep data and functionality separate, and then prove you have an implementation of function X for data Y.

This also allows for easy extension of the data downstream.
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Privacy doesn’t matter unless the IoT devices are secure. Often times, they’re not.
I really wish articles about physics or mathematics, especially ones aimed at non-experts like this one, would include the English name or pronunciation of symbols and terms. Not all of us know Greek or advanced mathematics and I need something to say in my head as I read along. How do you say J/ψ meson?
>How long before a consumer component machine for less than $10K can do inference for a gpt 3.5 turbo quality model?

Uh two months ago? LLaMA-13B is GPT 3.5 Turbo quality and runs locally on my Android phone's CPU at acceptable speeds.

You can even run LLaMA-65B (which far surpasses GPT 3.5) faster than GPT 3.5 Turbo with two $200 24GB Nvidia Tesla P40 cards, since in 4bit the model is only 39GB with no output quality loss. Total cost $400 plus some junker used PC with two spare PCIe 4 x16 lanes.
I might be skipping the competence part but personally my performance has been directly correlated to how much I care about my team/org. My attention is focused and goal oriented in a proactive way when I do care but passive and reactive when I just want a paycheck. I don't have good advice to spot how people care so its not super helpful but people that don't attempt to help in hairy situations or seem withdrawn from conversations are probably not on the good end of things.
I'd say Heathrow (at least T3) is pretty good at this. Lots of space before security, and then afterwards there's tables to put stuff back in your bag.
Wise decision as far as I'm concerned. Unfettered AI experiments on production systems are an IP and (depending on your field) regulatory nightmare waiting to happen. Unless you have lawyer-vetted guidelines and oversight, use OpenAI products exclusively for experiments and personal projects.
They could push more soldiers and machines to war, make a zerg-rush on Ukraine with everything they have, going in an all-out war. Going by the known numbers, Russia's army should have/had(?) 4-5 times the size of Ukraine's army, or something like that.

Of course, this would be very expensive to bring back their army from all around the world. They would lose all strategic positions they have, and would probably still suffer great loses... But they could (maybe) conquer that single country, or relevant parts of it.

Just, would it be worth?
I'll get excited when FOSS community catch up, and I'll be able to run GTP-4 like models locally instead of calling some API.
This site skews fairly liberal/progressive and the progressives are "The System" today so of course they jealously defend it from criticism on any front. It's a bit disorienting because traditionally the left has been the critic/counter culture, but they've won the meaningful and influential cultural and economic institutions (universities, media, tech, etc) over the last 50 years.

Sure, they aren't the flag waving (well, not American flags anyways) patriots we see on the other side. Those guys live in a make believe place that will never come back. The left however has won bigger prizes - not just American institutions but globally across Europe, parts of Asia, and South America. So yes, criticizing this machine is an afront on what's right according to hegemonic power.
As someone who works with chatGPT many hours a day and applies it to his startup, it can be an incredible resource when used correctly.

However this seems to be the most superficial application of the technology. He does little reasoning with it, little optionality. He hasn’t primed a ceo agent or constrained it in any meaningful way. It’s not hooked to anything. It seems to be more along the lines of “make a magic 8 ball my ceo” then use its advice to just coach me being ceo.

To be clear I think you can do something like this and it will work, but gpt vanilla isn’t the place to succeed with it.

What I’m building and using is a lot more like “cast 5 of the top CEOs based on their historical thinking and writing — then give me advice on x problem”. It seems to work a lot better as you get to participate in a human nodal walk to the decision by processing it through several “ceo nodes”. In the you make the call, not some weighted zero shot machine.