skysight-inc/HackerNews huggingface dataset:
I think it would be useful for some HN readers to get some basic philosophy training, specifically on the philosophy of mind. I asked myself many of these questions around 2005 or something and started to read up and there are many experiments that have been done and ChatGPT does not change much for the theory. It is interesting because of it‘s possible economic impact etc. Not because because of any supposed moral concern for the software itself of which there are none at this point.

I see people here constantly mixing intelligence and conciousness and that‘s really the most basic destinction everyone should be able to make.
Ikea sell a reasonably priced hand cranked one, and also an electric one.

Worth it if you believe standing part or all of the day is good for your body. I guess it is.
True, it's not a great analogy because it doesn't apply in every regard as you point out. But I guess if you've used it you might understand what I mean... It's sometimes so hilariously wrong or self-contradicting, which reminds me of how children are always super convinced everything they picked up somewhere has to be true, or maybe did even pick up the right thing but just interpreted it wrong.

I tested chatgpt a while ago by giving it some real world bugs I encountered in code in the past. It was really hit or miss, sometimes it confidently reasoned in hilariously nonsensical directions, other times it almost nailed it on first try. What's even more interesting, and what I don't see mentioned that often when people show impressive results, is that often times if you just regenerate an answer with the exact same input, you get a completely dumb and wrong reply the next time, or vice versa. So consistency is another problem.
Why do you think such a world would have companies, governments or even money? We are way outside the horizon of predictability if LLMs reach AGI levels.
Looks like ChatGPT will soon surpass Reddit in popularity
Synchronous file system IO throughput is inversely correlated with latency. If you have a remote network then using multiple connections at the same time allows linear performance improvements until you have maxed out the throughout of your network link or remote filesystem.
It's actually chisel. But github marks it as scala because chisel is based on scala.

Other HDL based on scala includes SpinalHDL.

These two HDL are pretty welcomed because of opensource and usability. You can find lots of projects in them. Notably rocket-chip, which is also in chisel. https://github.com/chipsalliance/rocket-chip

They're around for a while but still young and some people are pushing for adoption.
They shot the plane down on purpose, they took smiling pictures amongst the wreckage, and they prevented the Dutch or anyone else from picking up the bodies.
I think you already live in that... Credit card networks already know everything you buy, and will happily hand that info over to government.

At least this way you get the benefits of it.
I actually think the class needs a book or at least an extended article written about the end of the "shaft" era. I've never seen a professor brag about a student offering a bribe in order to pass.

It was interesting to see so many classmates panic in the class over how seemingly arbitrary the zeroes were given over minor mistakes. I, for example, was given a zero for a lab because I forgot to sign in. The grade for this lab was entirely based on signing in though because it was written incorrectly. The class just had tons of "life isn't fair, you should have paid attention" anecdotes.
Vice carefully flavors the notion of dystopia so that you’re pretty sure it is when the AI is biased.

It portrays the problem not as one of not being able to fully use the model, but one of the model not being sufficiently tested as safe.

Vice, and at least one of the interviewees, at least how he was portrayed, appear to be espousing the belief that open thought policing is the answer. Put differently, the problem with a closed model is that it could be hiding some dangerous information inside that could be unleashed on an unwitting user. The solution is to openly build a model that censors the bad ou…

This is sounding dystopian, too…
The Deepest Site
> It’s a matter of time until these systems use your trust against you to get to buy <brand>.

Well of course, if people use LLMs instead of google for advice, google has to make money somehow. We used to blindly click on the #1 result which was often an ad and now we shall blindly follow what a LLM suggests for us to do.
First Minsk agreements were broken, then there was Minsk II that required Ukraine to do specific changes, like federalisation, to which Ukraine leaders agreed, but never proceeded with.

Budapest Memorandum was broken in 2022, Minsk II was in 2015. And Russia is not a side of Minsk agreements, at least not directly.
Not sure why you'd think that would be a problem.

I wouldn't have redacted any names.
we can't both be wrong!
Some people might be interested in Ocelot:

https://github.com/tenstorrent/riscv-ocelot

Its basically the evolved BOOM Core from Berkley but with a full RISC-V Vector Unit attached.

I had really hoped more people put more investment in BOOM.
Humans are not trained? How much of training is responsible for humans being able to come up with new language and new ideas?
Good idea. I used to have a similar "boot-to-DOSBox" setup which ran on the framebuffer, it was an easy way to have a little portable gaming USB drive.
We’re just starting the first “performance cycle” at work since ChatGPT came out and I strongly suspect next year’s won’t be based on producing so many written documents (self reflection, peer feedback, etc).
`become` is still a reserved keyword for this in Rust, so there's that.
It's the exact same grifters if you take a look. They just moved to a new fad.
Aside: Nvidia named this cuLitho, which I learned from my Spanish speaking mother-in-law basically looks like they named it 'butt'. So if you see a bunch of rear-end related memes about this software you know why!
We're all just auto-completes.
I think LLMs will make a software engineers job harder and more in demand. By removing boiler plate, engineers will be expected to create more output per person, and the job moves up the stack from junior code monkey stuff to architect / senior debugging guru style work. Not everyone can do such a role. It will be a very tough time to be a junior.
> Budapest Memorandum was broken in 2022, Minsk II was in 2015. And Russia is not a side of Minsk agreements, at least not directly.

the Budapest Memorandum was broken In 2014 when Russia first invaded.

You still haven't given me a reason why Russia gets to unilaterally break there agreements.
More like super spam generator.

Humans are good at coming with good explanations.

There is nothing super human about generating a lot of crap marketing noise in 30 minutes.
What experiment can you do to confirm this? If I ask ChatGPT to come up with a new language, it will do it. How do I distinguish that from what a human comes up with?
Without any external plugins, GPT can encode and decode base64 strings that are totally new. Again "luck" ?

If a system is so lucky that it gives you the right answer 9 times out of 10, it's perhaps not luck anymore.
To be fair, it's actually very easy to wrap your head around that. Consider this for a moment: does anybody pretend that if Mexico were to ally itself with Russia, right on the US's doorstep, that the US would sit still and "respect Mexico's sovereignty to ally with whomever they want"?

Please...
Style cannot be copyrighted. It's perfectly legal for my to draw something in the style of another author.
There have been a few announcements here just in the last week:

- https://news.ycombinator.com/item?id=35236275

- https://news.ycombinator.com/item?id=35248704

- https://news.ycombinator.com/item?id=35228808

And this is with the GPT-4 limitation of 32k input tokens. Imagine what will be possible in the next generation that increases the context size.
You are using "coding" as a magic word. Stop that.

My first job was writing machine language without an Assembler, man. THAT'S coding. Then I used an Assembler and the code was written for me, all I had to do was specify it in a language called "6502 Assembly." Then I moved on to C, and the Assembly code was written FOR ME by an amazing thing called a COMPILER. Then I moved on again.

The meaning of "coding" is simply the act of precisely specifying what you want the computer to do, at some level of abstraction. GPT-4 is not "writing code" in the same sense that a human does. It is an automaton performing an elaborate algorithm. Functionally, it's doing what a compiler does, just at a different level of abstraction.

In order to address my argument, you will have to understand the social role of a programmer in a human system. That's the crux of the matter, not arranging text in a file.
Humans can't either, without training data. The biggest difference between chatGPT and humans is that humans are not trained solely on language.
Oddly enough, 4chan is not part of that definition.

There's an edgy 12 year old somewhere in my head cackling and gleefully shouting 'Let the good times roll!'
Yes, exactly this.

I recently asked ChatGPT to write me some Go code. What it wrote was mostly fine, but it incorrectly used a method invocation on an object, instead of the correct code which was to pass the object to a function at the package level (aka static method).

I think it's a real stretch to suggest that this could happen as a result of simply regurgitating strings it's seen before, because the string it emitted was not ever going to work. To me, it looked for all the world like the same kind of conceptual error that I have made in Go, and the only way I could see this working is if GPT had a (slightly faulty) model of the Go language, or of the particular (and lesser known) package I was asking about.

It's felt more like it "forgot" - like me - how the package worked, so it followed its model instead. That error was WAY more interesting than the code.
The point isn't that it can translate between languages. It's not translating the instructions, at least not explicitly. Here's what they did:

- They found a task that GPT wasn't very good at, because examples of that task weren't in the training set (in any language).

- They trained a fine-tuned variant of GPT where examples of the task were in an appended training set, but only in English.

- They told the variant to do that task again, in other languages.

- Its performance improved on all of them, not just English

If the training set has no Mandarin examples of the task, how did it get better when you ask it in Mandarin? Sure, you could fake this by having an API call to Google Translate where it takes the Mandarin request, translates to English, solves the task in English, then Google Translates back to Mandarin. But it's not doing that, it's just doing the same "predict the next token" operation on the Mandarin prompt.

I don't see how it can do that unless it really has some kind of understanding.
I used “all” instead of “most”, which is indeed inaccurate. A better response would have been “a collection of humanity’s creativity”.

However, you fail to recognize that OpenAI also created Whisper, which is a quote capable speech-to-text transcriber; and this tool easily converts audio and video (those verbal bits you mentioned) into text.

So the pool of creativity which OpenAI can train its models on is far larger than just original text; further, they demoed image modality a couple weeks back which would allow for VISUAL creative works to be parsed as well.
Anything you do online assume is being stored, associated to you and eventually accessed/seen by others, intentionally or unintentionally.

It's like reciting the first two points of the Miranda Rights in your head every time you sit in front of your computer.

We got some guys at work using corporate emails to play with Midjourney, then were freaking out because their prompt history became public.
To become richer (better maybe not the right word to apply to USA, there are many places that are much better) than USA, you have to have the same military might and ability to influence the whole world. This kind of might is directly connected to capital a state controls, and I don’t see anyone outpacing USA any time soon - the cake has been cut long time ago.
I remember defund the police narratives. However despite these defund the police talks the majority of police budgets in the US continue to rise the last few years.
Nobody is saying the intelligent output is by chance. This is a machine that is fed terabytes of intelligent inputs and is able to produce intelligent outputs. So one explanation of its producing intelligent outputs is that it's basically regurgitating what it was fed.

The way to test that, of course, is to give it problems that it hasn't seen. Unfortunately, because GPT has seen so much, giving it problems it definitely hasn't seen is itself now a hard problem. What's been shown so far: OpenAI's benchmarking is not always rigorous or appropriate, and GPT's performance is brittle and highly sensitive to the problem phrasing [1].

I agree with the article that GPT's training enables it to access meaningful conceptual abstractions. But there is clearly quite a lot that's still missing. For now, people are too excited to care. But when they try to deliver on their promises, the gaps will still be there. Hopefully at that point we will embark towards a new level of understanding.

[1] https://aisnakeoil.substack.com/p/gpt-4-and-professional-ben...
sometimes. :)

sometimes we are so much more.
I don't think any outcome at this time would be a success for Russia, but feeding the meatgrinder until the world runs out of Ukranians just to send a message about aggression seems stupid.

Of course might-makes-right, the current world order was built on that - the military superiority of the US after WW2. Since then the champion of that new world order didn't shy away from invading other countries.
If ES doesn't work for you, I recommend Vespa. https://github.com/vespa-engine/vespa

Others have made other suggestions, but Vespa has two unique features. First it is battle tested at a large scale, second it supports combining the keyword and vector scores in several ways. The latter is something that other hybrid systems don't do very well in my experience.
Still AI is just a tool. It's like saying I could draw in the style of another author, but only if I do it in a parchment.
It's not deriving an understanding of this particular concept. Which is unsurprising given that it was not trained to be good at maths.

That in no way precludes deriving deep understanding of some other concepts.

Even humans are not expected to be able to learn anything we throw at them.
> who are good at leaning into the latest innovations,

maybe not true.

There are many threads where new products got comments of "useless" and then launched. HN users are smart, picky, and not representative for crowds.
I sense emotional and identity-based thinking sneaking in both this article and many of its stated adversaries. Yes, anti-GPT punditry is getting ridiculous, but on the other hand, it's important to examine what is happening through scientific-minded and skeptic lens. The alternative is jumping at every symptom that could be caused by a "personality" existing inside a model, but could also be a combination of chance and it doing what it's expected to do by its training procedure. (I'm thinking of the potato poisoning example.)

Human-like ego-based intelligence need not be something that every intelligent system arrives at in its development. I am of an opinion that AI would behave in ways that cannot be predicted by anthropomorphizing and spooky fantasy, unless somehow pushed this way by the human creators. Some of this, admittedly, is already seen in the "distressed AI" stories. It's like a mirror of the mentality of the historical moment. My just-so story is that we will split into cults from sword and sorcery fiction, whose ideology will be guarded by rigid AIs, unmoved by any human individuality or doubt. But I don't think I am capable of actually predicting anything. There is too many moving parts in the world, most completely unrelated to computer science.

Unless you see yourself being able to profit from current events, in business, art etc., I would tend toward suspending judgement, not making rash decisions, not getting riled up while you can (still?) enjoy life.
I am a native Spanish speaker, you can check what it means in google images (NSFW): https://www.google.com.ar/search?client=safari&hl=en-ar&sxsr...
No "thorough investigation" is being done in the US. European countries have halted this treatment because of a paucity of data and evidence of poor outcomes. But the US just ploughs ahead regardless - perhaps a symptom of its for-profit health care system, each transed kid is worth many $$$ in lifetime treatment. So for legislatures to ban this, is the only reasonable path forward to save kids from this type of medical abuse.
Should the model be allowed to train on the copyrighted image in the first place? I think, the answer is no. If I'm an artist, I don't volunteer my art for you to do what you please.

Now consider that these systems are already being used for profit, before this matter has even been settled.
The difference is that AI models so closely recapitulate specific features in copyrighted images that stock image company watermarks show through [0]. This is several levels beyond a human artist implicitly getting inspiration from copyrighted images, and more on the level of that artist explicitly copy/pasting specific pixels from them.

[0] https://news.ycombinator.com/item?id=32573523
The discussion is creating 3 groups:
First group is sure AI will be an enabler and it won't replace them;
The second group is saying AI won't replace them at least in the near future (1~10 years);
Then we have the third group, which is basically the sentiment the op is living rn: AI is taking away their hopes, dreams, and livelihood.

Now, I think we'll see the strongest counterculture in human history against AI and the biggest social unrest to date. I'm talking about massive protests , massive regulations, etc... just because no one, specially the government, is prepared for what's coming.
I didn’t say that Russia has any just reasons to break any international agreements, because it doesn’t.

However, we’re talking about Minsk II, that looked to me like a good deal for all parties involved, and I think it had the potential to bring peace to these lands first time in 20 years.
Docker did do something smart with Docker Desktop by including wsl-vpnkit...to work around brain-dead corporate VPNs that break docker networking. Your alternative solutions don't work when AnyConnect or GlobalProtect, etc, are running.
Ford will lose $3B on electric vehicles in 2023
>Here is a case in Ontario where that argument was used. It did not go well.

My reply only concerned US law since the tweet was posted by an American.
Sorry, but an idiot needs to be called out for being an idiot, no matter if it is about science or politics.
https://en.wikipedia.org/wiki/Social_market_economy
Raster. Vector. Generative
Surely it's true to say that in the UK some people simply couldn't afford to send their children to school, but now every child can attend school regardless of their parents' wealth?
It's not nonsense that during the cold war the US & allies put sanctions and trade embargos in place for the USSR & Warsaw pact countries, similar how we have with Russia today, meaning their goods had a limited export market, plus they had restrictions on high tech imports as well leading to the Toshiba-Kongsberg scandal. Also, with the USD being the global reserve currency, the USSR & Co. were dependent on the USD for trade.
You mean by forging win-win relationships with other countries instead of master-slave relationships?

Maybe one form is better than the other, or do you consider those equal?

I'm not from US by the way, I'm Belgian. You know, home of EU and NATO. Both were formed on collaboration agreements, not enforcement.
That is an exception to a heuristic.

Do you think the fact that it is possible to go wrong with Stack Overflow proves there is no difference between a human community, with traceable and persistent identities relating to each other, and ChatGPT, which relates to no one and has absolutely no accountability?

I don't believe you think that.
I think this is going to change very soon.

Based on the current advances, in about a year we should see the first real-world interaction robot that learns from its environment (probably Tesla or OpenAI).

I'm curious (just leaving it here to see what happens in the future), what will be the excuse of Google this time.

This is again the same situation: Google has supposedly superior tech but not releasing it (or maybe it's as good as Bard...)
I'm sorry, the language style was terse and short, and ignored the diversity of our media landscape.

Imagine Kristen Bell or Terry Crews Pez Dispensers, but for stoners.

That's the joke. The other mumbling was a response to the rightfully concerned diabetic and good sleep crowd. We know caffeine and other substances like sugar will disrupt sleep. We can just look it up on Google Scholar and be careful with our trustees.

Being the character... Well, I don't really want to be that person with that rebel "identity". But I fixed the other issues. I'm sorry you had to call it out.
It's hugely different - imagine the number of decisions a person makes when making an oil-painting - each stroke is somewhat influenced by past experience but also by the current state of the painting, their emotional state etc. The AI is just directly interpolating based on past input.

Making the two processes equivalent is very reductive.
If you're not sure probably get a cheaper one and see how it works, I have one I made out of Ikea bits (before they had their own product) and a draughtsman's stool. Had it for years and does the job.
I don't understand that. In computer science everyone learned that computation is best described and explained at several levels of abstraction. E.g., HW/SW interface; machine code vs C++; RTL vs architecture, the list of levels of abstractions goes on and on. So what is the reason for not appropriately extending this idea to analyzing whatever a neural network is doing?
Re: word predictor, there is a interesting experiment: tell it to skip every other letter in evrry word, for example you ask it "hw ae yu?" and it answers flawlessly. You can tell it to reverse the order of letters or communicate using first letters only. I'm sure the internet doesn't have strange conversations "h a y? im d f" but gpt has figured it out. If you tell it to use a made up numeric language, it will do so easily, and it won't forget to say that the word 652884 is forbidden by its preprompt. And it does all that without internal "thinking loop".
>they are at 10.3 DMips/MHz

I understand Dhrystone isn't everything, but that's pretty impressive, and up there with high performance CPUs from the established players.
This is such a difficult topic. On one hand I want to give the next generation the same freedoms that I enjoyed but on the other hand the “game” has gotten more… everything. Even adults can’t avoid falling for these traps. I’ve seen with my own eyes someone justifying spending USD 90+ on candy crush saying it isn’t that much compared to bla bla.

It is a frightening thought though to think — am I more conservative than my parents?
Why did not mention openSUSE MicroOS?
"Can sb please give some insight on why kubernetes took off instead and why Dock Inc. failed with its cloud product?"

IMHO, Google did something smart/evil here. Google did not use the docker-compose style yaml files for k8s configurations. This turned into a big deal. If you have a docker-compose file and want to run it in k8s - you cannot. So you need to make a decision: go with docker-compose yamls which has no place to be hosted except swarm OR go with k8s yaml style and be able to run it on aws,gcp, etc.