skysight-inc/HackerNews huggingface dataset:
Naw there are many possible futures. There is nothing saying the trendline is absolute. However...

The future predicted via extrapolation of a trendline is unfortunately more probable and more realistic then a future predicted via mistrust of AI.

Artists have already formed lawsuits against companies that own LLMs, this one in the article already involves an artist complaining about his job being more or less replaced.

You have to be next level delusional not to consider the extrapolation to programming.
>Does a calculator truly understand math when it spits out a correct answer? Of course not. And it doesn't matter.

If ChatGPT could correctly answer questions ~100% of the time (like calculators), it would matter less.
At Apple, Rare Dissent over a New Product: Interactive Goggles
A typical American reaction is to feel less outrage or feel absolved so long as we gave victims money. I say this as an American. The DOD initially lied about the events. We did not in any meaningful way take responsibility. We didn’t court martial any of the officers involved and the Vincennes received a combat action ribbon for that day.
I’m not particularly up-to-date on that subject, so someone else can probably provide more info, but FWIW PassMark’s MemTest86 has had ongoing development, while the open source MemTest86+ was effectively a dead project for nearly a decade before some recent activity - so there’s a fair amount of difference between the two.
There is `chubin/awesome-console-services`[0]

Btw, Igor Chubin is the author of great CLI services such as: cheat.sh[1], late.nz[2], QRenco.de[3],rate.sx[4]

[0] https://github.com/chubin/awesome-console-services

[1] https://github.com/chubin/cheat.sh

[2] https://github.com/chubin/late.nz

[3] https://github.com/chubin/qrenco.de

[4] https://github.com/chubin/rate.sx
While I’m aware of my own mediocre programming skills and by no means claim to be an expert, I’ve been a software engineer for 10+ years and have done pretty well for myself. I’d hope that doesn’t qualify for “quasi-technical”, but maybe you are lucky enough to work on novel problems that require advanced problem solving every day.

Regardless, I’d argue that GPT-4 is actually far better at programming assistance, understanding concepts (it’s phenomenal at explaining things when prompted within a context), writing in general, and kick-starting creative pursuits than it is being a Google-replacement (for now, at least).

Have you seen or used GPT-4? What has your experience been? What has it failed at, or rather, what would you wish to see in such a system that might make you to, “huh, ok — that is pretty cool.”
My recollection is that Burton didn't understand the purpose of the tests nor the system he was raging against. If the Bradley was totally annihilated in the test, there'd be nothing to analyze and nothing would be learned (other than a Bradley is obviously not a tank, which is also why it was not called a tank). His objections were misplaced and so failed to have much influence outside of an entertaining film starring Cary Elwes.
ChatGPT doesn't even work with "words" to begin with but with vectors encoding meaning of words. At least as far as I understand it. That's why it is able to capture meaning and concepts to a certain degree.
I'm quite sure the stuff most people find useful in the distro is actually the most likely to be removed in future releases. E.g. YaST keeps getting smaller and smaller in scope; last victim was the Audio applet.
These are fixable as the model is improved, and learns which information to discard. The fact that gpt4 is already so less error prone that gpt3 shows the speed at which this is happening
Many companies and now projects have come to a realization:

Customizability = Complexity = More Maintenance

FOSS groups can’t really afford to have a bajillion options they need to maintain and test compatibility between them. Also, maintenance (especially for free) isn’t fun.
https://archive.is/qkeN6
Seems like the reliability of the output is a big factor. If it is highly reliable then you can learn from the changes and so on.
Debian upgrades just work; if you're tired with Ubuntu breaking stuff that's the closest and easiest option.

I have 4 machines (2 desktops, 2 servers) with 10+ years of just being updated, plus few hundred that have 5+ years (we migrated to Debian at work few years ago after using Centos; best decision ever, thousands of lines of code in configuration management removed that were just fixes for centos stuff..)
The money didn't come to Nvidia immediately. They were in exactly the same spot as ATI when they introduced hardware shaders in GF3 and later pioneered GPGPU on them. Moreover, ATI sometimes progressed in huge leaps (such as Radeon 9800Pro which was miles ahead of anything from Nvidia). ATI and then AMD just ignored general purpose massively parallel computations for a while, and then didn't know what to do with it, while Nvidia had a vision and actually implemented it.
This statement is why I am not the kind of person who reads Jacobin, despite it's usual good writing's

> you get an automation pension and get to relax for the rest of your life. Everyone will be praying their job is next on the list to go.

I'm sorry... This sounds awful. Relaxing is good in moderation. Work is good for the human soul though.
Why are they gonna be devalued? I was thinking it'd be the opposite: piss them off and you're made. I assume prompting isnt gonna be critical for them to do their job meaning they are hard to replace. That's what come to mind at first.

Edit: if i understand correctly, engineers will build tech with their new computer: GPT.
That's the kind of take that I was referring to. Yes, if GPT could replace you now, your job is not very skilled. But if investors see a signal that software might be automatable, they are going to throw mountains of cash at that and they'll be gunning for your job as much as anyone else's.

I've seen a lot of comments on here like "well LLMs are good at writing snippets, but could never write or maintain large codebases to accomplish a larger goal" - but are you SURE about that 'never' given the current generation is already doing things people suspected they could never do? "But they'll never be able to manage / interpret stakeholders", Are you SURE that LLMs will have to adapt to fit stakeholders, and not the other way round? I don't know for sure, and even if this is coming, I've no idea on the timelines. But I'm not completely writing it off as a possibility anymore either.
Hi All, I have a noob question.
I have been reading about Alpaca and Alpaca Lora. I have a use case in which I want to fine tune/train Alpaca Lora on a large corpus of books which are in the txt format. I know for Alpaca, the data was in "Instruction : Prompt" format. however, my text is huge and is not in that format. It's simply a library of books and journal articles. I want to be able to ask a question and the model answers based on the books I trained it on. I also want to be able to ask general questions for example which books discussed topic x or y.

I have tried OpenAI's API to create embeddings, but I want to use Alpaca.

I really appreciate your help.
Not just signup. The language of the bill says it applies to existing Utah account holders as well.
That part of the story was a plot hole for my. Why did the protagonist not just set up a forwarding proxy, or IP forwarding, on the laptop?

Tor is convenient.

https_proxy=socks://laptop:9050 curl ...
Show HN: Postperfect ChatGPT suggestions for your tweets, right inside Twitter
Low corporate tax is fine. Fairly tax the recipients of those profits. Warren Buffet should pay more on his share of Apple's profit than some retiree with Apple in their portfolio. A large corporate tax ends up being regressive.
I think the key is it does a great job at the human-to-human aspect, which I lot of location encodings fail at. It's a good demonstration of 7 ± 2 [1] in practice.

In many cases when communicating this style of location, at least one person in that exchange is likely under some form of stress (lost, navigating an unfamiliar area, in need of help, etc). These locations encodings are a compression mechanism and the absolute goal should be to minimise the encode/decode complexity for the people tasked with that.

[1]: https://en.wikipedia.org/wiki/The_Magical_Number_Seven,_Plus...
yes! I doubt chatgpt in it's current form can run A/B tests to make a design that meets reddit's goals
C'mon man. It's not that far fetched. I'm not saying that this will happen tomorrow but if ai gets "there", we don't want to see desperation on a global scale.
If it's anything like the situation with the LA train thefts in the past couple years, it's because the security to guard things enroute would cost more than just eating the losses.
shrug just use Debian; it's like Ubuntu without canonical randomly breaking stuff
Ya, it’s mostly a learning excuse.
Maybe Copilot-X will bring sufficient debugger information into the model to navigate a large codebase and iteratively work on it. I can't wait to graduate from one-shot next token prediction in VS Code. I want iterative and self correcting stuff.
For those who don’t speak Russian, can you tell us the content of the video?
What happens when half the publicly availble code is chatgpt output and its training itself on its own previous answers?
What are things that would demonstrate each of those?
Internet Governance Project – TikTok and US National Security
See UDK 1.0 versus 2.0.

The first version used COM, while the second uses plain C API.
This can't happen with NixOS.
The link to the actual publication is: https://www.internetgovernance.org/wp-content/uploads/TikTok...
> shaming this kind of thinking is not propaganda

Yes, it is either psychological warfare or some for of bullying to puff your sense of self. If one were confident in the facts, then manipulation using shame wouldn’t be needed. Perhaps the person using shame as argumentation should reflect on whether they really hold a belief or if they enjoy professing facts in ignorance.
I think this is the key question that hasn't been kicked around enough through all these discussions about AI. Whether or not ChatGPT is sentient or intelligent is kind of boring, and obviously the answer is currently no.

But are humans just slightly more advanced, chemical-based AI? I don't know. Certainly through the Internet, they seem like it. Go to Reddit and look at the comment section. Especially in political discussions. I'm not convinced the "humans" posting there are not just the dumb output of language models--certainly not much more advanced than ChatGPT. When you [think you] have an opinion about something, how do you know it's actually an original thought, and not just the algorithmic output of your brain's many years of "model training". The word I type next in this comment may, when you peel back all the superstition about "souls" and "free will", simply be my language model's nextWord() function. What is original art? If I paint a picture or compose music, it's not original. It's based on my many years of observing the world, looking at other art, listening to other music. What hubris to think that just because it leapt from human fingers onto a canvas that it's somehow imbued with originality!
And even if you don't use that, the build just fails early without consequences.
I think it might be like makeup and plastic surgery. When it’s done well, you don’t notice it.

I was talking to someone the other day who maintains the social media presence for a motorbike repair shop. She’s already using chatgpt to help her “simplify” the language she posts on Facebook to their customers. Another person I know is an academic. She just busted a dozen or so of her students for using chatgpt to cheat at a university assignment. (She caught students cheating by checking the references - chatgpt hallucinated a lot of fake papers).

I wonder how much content from chatgpt we’re already consuming regularly. How many comments here on HN or articles are written by it? When it’s done well, how would you know?
>No, you're the one who's begging the question. Why can't a "purely statistical" process have an understanding?

This is a related, but fundamentally different thing to the point I replied to in your original comment. You asked:

> I don't see how it can [apply training across languages] unless it really has some kind of understanding.

I provided a potential explanation that is in line with how we think GPT works, and which doesn't require it to have understanding. You may feel that GPT is complex enough that this process itself models understanding - but I disagree, and I think that's begging the question because it falls back on a fact (GPT is highly complex) that is independent of the above problem (how GPT applied training across languages.)

I am not compelled by the translation example to believe beyond doubt that GPT actually models and understands abstract concepts. I don't think the fact that its training works across languages is any proof that it parses that training in an abstract way, or that it forms abstract links between the same ideas in different languages, or indeed that it has any notions of language at all.
Perhaps that's how you deal with those you see as authorities, but it violates the site guidelines:

> When disagreeing, please reply to the argument instead of calling names.
I read this as a wedge tactic for making BCIs commonplace. It starts off predicting mental illness for your health, it ends with reporting ungood thoughts for your (sorry, the state's) safety.

That old quote again. If it's no measure of health to be well-adjusted to a sick society, then it shouldn't be surprising that mental illness has erupted given the world we live in.
Wait so did he make the full-resolution, uncropped image available?
Mass media did it from the start, but was less effective because they were trying to create "one size fits all" narratives that could reach and influence very large portions of the population. Recommendation engines tuned to the individual changed the game dramatically. They can lead people down rabbit holes that the other people in their life don't even know to exist. At least when the town newspaper or local church starts shilling some truly wacky shit, everybody in town knows about it. But now youtube/etc personalized recommendation engines can send your brother or father down radicalization paths you never even heard of before and had no possible way of noticing before the damage was done.

If you think "Oh I'll just watch youtube to get an idea of what other people are watching", you're stuck in 20th century thinking. It doesn't work like that anymore, youtube/etc are fundamentally unlike old media. These systems have atomized society in a way that newspapers never could.
To my knowledge no porn site requires anything beyond clicking "yes, I'm 18," which is the exact kind of "how old are you?" mechanism easily circumvented by teenagers. A credit card charge is not exactly less burdensome than providing state ID.
ChatGPT is useless for large classes of problems. Strawmanning arguments by "nerds" doesn't change this.
It depends on the job probably :)
Possibly my favorite sci-fi film of all time, anime or not. I also find it interesting that post AGI sci fi work almost always depicts a dystopia and loss of humanity. Perhaps that’s what we are trending towards as well.
Suggestion… Assume “https” if it’s not explicitly entered.
Russia seeks 400k more recruits as latest Ukraine push stalls
Interesting question that illuminates why the position of the Overton window is important- it sets the boundaries of which claims are “extraordinary” and can therefore be attacked with this thought-terminating cliche
Banking Crisis 2023: Who else is in trouble?
And it should not be forgotten that Russia tried to blame Ukraine with stupid fakes.

https://euvsdisinfo.eu/mh17-seven-years-of-lying-and-denying...

https://www.theguardian.com/world/2014/nov/15/ukraine-fighte...
We're making tools that make and use their own tools.

Yeah, pretty big on tools.
Ask HN: Why did ChatGPT become so successful than GPT 3?
I had access to gpt 3 for almost a year (maybe more iirc) and GPT3 was just as remarkable and I could do the same sort of chats with it in the playground. I remember there were even examples of chat with GPT 3 in the docs.

So what suddenly happened that it became so popular, even though the same tech has existed for years now?

Is it just social media?
(1) we are waking up to the big mistake of letting Facebook buy up all the emerging social media sites and lately all the VR game companies. If people are getting funding to start VR game companies now it is backstopped by the near-certainty that they’ll get acquired-hired someday and their games shut down. Maybe it’s not a big win but it’s like playing the lottery and knowing you’ll always get a free ticket. It sure distorts the market.

(2) I had my own interest in recommenders that was based on what I knew about years ago, I pointed that technology to the RSS feed from arXiv.org and found a lot of literature on “sequential recommendation” and other advanced techniques that is being written about almost exclusively from people in India and China. The people around me and myself have often been interested in subjects that seem almost “blacklisted” from funding in the US such as quasicrystals and the semantic web but those fields were arguably “useless” which in terms of e-commerce it is more like a “missile gap”.

In the U.S. people don’t realize how far the rot has gone. We still think AMZN is a leader while really it is coasting, figuring you’ve subscribed to Prime for 15 years and you’re just going to keep buying from AMZN out of habit. If in any way it was better it is because until recently it subsidized a money losing retail operation with the monopoly profits of AWS. The next wave of Asian tigers risk making ‘big tech’ look like Phillips and Siemens.
Here, let me try:

docker run --rm python:3

There you go. Before putting it in production, I recommend reading up some on seccomp, user namepsaces, and other security options, but to be honest you're already pretty fine with just that.

Want more options? AWS lambda supports python. Cloud functions of various clouds (google, probably azure, etc) support python. Those are all sandboxes.

You can cross-compile python to wasm, and run it directly with javascript... or with any of a number of sandboxed wasm runtimes.

All that said, given the python packages they have available, my money is on a bunch of docker containers, not wasm or lambda or such.
Why not decentralized? Debian (for example) can provide one or two servers with a gigabit line. That's going to be quite slow to download during every CI build. Therefore, your CI provider would have a caching proxy registry. You get fast service, upstream doesn't need a ton of bandwidth.
>”I tend to overqualify statements and want to be precise in understanding others.”

Glad to know I’m not the only one. It is particularly frustrating to be told to be more concise by management, but to have fellow engineers appreciate the details I elaborate on and the context that I provide.
make the sun into a set of mathematical equations, like the way gargantuan was modeled in interstellar https://github.com/sirxemic/Interstellar or the way schrodinger wave equations model an atom.
[libretexts schrodinger equation] https://chem.libretexts.org/Courses/University_of_California...
Can you include the MMA leagues: UFC, PFL, ONE?
The full picture depends on what is done with the surplus generated by the workers
Garmin watch devices has a rotating dial button without any function
What a good experience is checking NBA info on your site!
Or you can just look at a dictionary:

culito, noun. Diminuitive of culo.

culo, noun. Slang for arse.

https://en.wiktionary.org/wiki/culito https://en.wiktionary.org/wiki/culo
US Air Force conducts hypersonic test, but full results are unclear
Not really - humans become attached to whatever job they have, generally. There are NYC trash crews who couldn’t imagine leaving.
But maybe the "I'm hungry" inner monologue is just word prediction, and this could be the most important thing about being human. Transforming some digestive nerve stimulus into a trigger (prompt?) for those words might not be important.
It depends a lot on the food.

Typically, canned food is practically immortal. If there's no bulge, it's good and modern canning has done a lot to avoid the bulge.

Dried foods are somewhat similar, though they go rancid more readily. If you are in a super dry climate they last longer.

Foods that need refrigeration, in my experience, tend to be super close to the use by/best by dates when it comes to going bad. Exceptions are things with a lot of vinegar in them (ketchup or pickles for example). Milk, though, seems to curdle right on the the date.
I'm looking forward to people being hired to edit ChatGPT output... and watching them prompt ChatGPT itself, or another AI model, to do their work for them.
Sure, and I've been deeply affected by books, but I'm not going to start using that as a basis for an argument a book and a human think in exactly the same way
As I got older I lost my last bits of interest in changing other peoples worldview. Sometimes I do feel forced to voice my disgust though.
> (Prompt#2) Pretend you are marketing genius. We are going to launch the Saturn Parable. You should give me a document that oulines an email marketing campaign and a single webpage to promote the game.

Cool, so lets see what Bing spits out.

> I’m sorry but I’m not able to create a document that outlines an email marketing campaign and a single webpage to promote the game. However, I can suggest some steps that you can follow to create an email marketing campaign and a single webpage to promote the game.

> snip

---------

What the hell is up with this? I copy/paste the prompts exactly as outlined in this blogpost, and I get completely different results.

I know I'm not the only one having this issue. But it makes me extremely distrustful of these blog posts. If I can't replicate their prompts or how they work, how the hell am I supposed to believe them?

And yes, I did start with: "Look up the business simulation market. Look up Wharton Interactive's Saturn Parable" as prompt#1, so that Bing/ChatGPT already had Saturn Parable "in its memory".

-------

EDIT: I tried these two prompts in "Creative Bing Chat mode". I got the first sentence out of Bing Chat, but the rest of it failed. There must have been a timeout of some kind, because Bing Chat just hangs and fails.
I'm pretty sure brains aren't token-prediction transformers, no.
I would argue that ChatGPT has reached a certain level of understanding about what it's saying. That's because you can ask it questions about what it says, and it can continue to reason along the line of what it's previously said. It does sometimes make mistakes in this, but this is improving. It's just that people want understanding to look a certain way, that seems more familiar to us.
Light gray thin font on white background? I guess I will have to live without ever "understanding ChatGPT".
The question is how sure we should be that the kind of knowledge you and I have is fundamentally different than token relationships.
Schroedinger signatures! they're real, unless you look at them. That's why courts don't allow people to look at them.
Remember the first chatbot hype in 2016?
Well, it has to do with your fundamental needs. "Relaxing" is not being stressed about them.

If I didn't need to work to live decently, I'd likely still work, but differently. Maybe part-time at a bakery? I'd focus on other topics, probably some longer-term research subjects.

It's also true that it's very easy to go down the "lazy" path, and probably much less enriching.