skysight-inc/HackerNews huggingface dataset:
"Hacker" as a term has and seems to continue to hold a dual meaning--the penetration testing, blackhat / whitehat, OSINT meaning, OR the creative software engineer, clever maker, resource-constrained artful solver-of-problems.

That Nyxt is targeted at "hackers" therefore requires some disambiguation. It is not primarily for the former camp, and is largely for the latter, it appears.
Indian population growth is hardly indicative of winning. That china’s population is growing and will shrink below 1 billion before stabilizing is a net win for them in the long run if they can weather the fall out of dealing with an aging population. India, on the other hand, while having a lot of kids to do work, will have to find them productive jobs and such, it could act against quality of life getting better.
> As a "brown person", I resent this attempt at weaponizing racism just for the benefit of making your argument.

Pointing out double standards and hypocrisy is not weaponising racism.

> but it actually damages the real efforts to battle true racism in the US.

Why is this something an Asians in Asia should concern themselves with?
Could you elaborate more on the setup? Like if I were a technologically competent person, but unfamiliar with how to set up a system that keep GPT live, and then feeds that output into Home Assistant
RpcExplorer: Interactively build RPC requests
RpcExplorer is a curses tool that allows the user to search for service methods defined in protobuf and interactively build and issue requests.

I built it a few months ago, and my team at Square has been using it to save time during both development and debugging when interacting with gRPC and proto-over-http servicse defined in protobuf.

If you use protobuf-based services, please feel free to play with it and let me know what you think!
> we'd have a copy and not that the source would lose it in the process

I don't known when this happened, but maybe that means the Anti-Piracy campaigns worked on him, confusing illegal replication with theft.
Tell HN: ChatGPT alternatives should be both Open Source and Uncensored
IMO, open source models trained on GPT-4 responses are still far from being truly open because they still suffer from the "safety" mechanisms OpenAI put in place. There's no reason to believe that such censored models benefit/harm different groups equally.

As we move towards more open models, we must emphasize the UNCENSOREDNESS aspect of them as well. We already see examples of powerful models that got neutered and crippled by Microsoft and OpenAI by censorship RLHF.
I'm case people see curious, I gathered a few links about this on http://old.reddit.com/r/nichimen
I always figured there was a specific board that had those sounds. Glad to see someone did a decent dive into it!
So I went to IBM.com to look around. I live in a German speaking country, but I consume internet almost exclusively in English, and I set my browser's preferred language as such.

IBM.com somehow misindentified the country I am in, and displays in a language that doesn't appear in my browser settings. The language selector is at the bottom of the page, with "region - language" pairs, including a million countries with a million random languages, except for my country in English.

Anyway, I can waste my time on other sites too, other than IBM.com.

I just wish developers and re-designers would use their creation for 2 minutes before deploying it...
Less about complexity than about how well-documented the subject is on the internet IMO. I’ve been using it to help me set up and troubleshoot AWS Elastic Kubernetes clusters, which are plenty complex, and I’d estimate it’s been around 95% accurate. (And for at least one of the times it seemed to be wrong, it turned out I’d made a mistake following its instructions...)
Spoken language have pitch, stress, mood, etc..
Written text contain some, but not all.

Text, on the other hand, can present in list or table, with varies formatting, indentation. You can't reproduce them in spoken text.
Has there been any research in the possibility that much of what we say/speak (including this convo) is actually just stochastic parroting?

e.g. instead of the stochastic parrots mimicking intelligence maybe intelligence doesn't exist, it's just stochastic parrots of various levels of sophistications organized into a hierarchy. "Intelligence" is necessarily socially defined with the more complex parrots being unpredictable and "intelligent" from the POV of lower parrots. Vicer versa, looking down, the lower parrots seem to act like "NPCs"
why does Knuth think Trump eats Betel nuts? Does he?
One experiment that I would love to see is an LLM-like model for audio. Feed it hours and hours of lectures, sound effects, animal calls, music etc. You would be able to talk to it and it would ingest the raw waveform then produce audio as a response. Would it learn the fundamentals of music theory? Would it learn to produce "the sound of a bowling ball hitting a dozen windchimes?" Would it learn to talk in English and communicate with whales?
We've already done text and images, now someone please do sound!
Yes, and all of those (including AI) are not even human extinction events.

- Nuclear war: Northern Hemisphere is pretty fucked. But life goes one elsewhere.

- Plasticisers: We have enough science to pretty much do what we like with fertility these days. So it's catastrophic but not extinction.

- Climate Change: Life gets hard, but we can build livable habitats in space... pretty sure we can manage a harsh earth climate. Not extinction.

- Deadly virus: Wouldn't be the first time, and we're still here.

- Astroid impact: Again, ALL human life globally? Some how birds survived the meteor that killed the dinosaurs, I'm sure we'd find a way.

- Complete Made up evil AI: Well we'd torch the sky, be turned into batteries but then be freed by Keanu Reeves.. or a Time traveling John Connor. (sounds like I'm being ridiculous, but ask a stupid question...)
Probably because the entropy of the ELIZA output is very low, so maybe ChatGPT(ELIZA()) is too. But the interesting thing is that, even still, ELIZA was fabled to have profound impacts on its earliest users. Makes you think..
America’s skepticism toward the first automobiles (1930)
Don't write about it. Do about it.
Given how much profit that employee means to the company, you think they could afford to treat them better lmao.
Maven doesn't have these problems, but not because of namespacing itself. The adjacent thread has the details on that.
It should 3000 pages. I don’t know why I said 8000.
Snowden: "Arguing that you don't care about the right to privacy because you have nothing to hide is no different than saying you don't care about free speech because you have nothing to say."
> If you want to try the system

That's the original MIT Lisp Machine OS, but not Symbolics Genera and not their graphics suite, which was the software used for the created graphics (see the posted link).
The pleasure of working out only becomes obvious after you've built the habit to do so. You'll know you've built the habit when it starts to feel bad when you don't work out on a day you're normally supposed to. It's pretty similar to a drug addiction.
> it answers with such confidence any question I ask. It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong.

That's it. LLMs don't have SHAME! They simply don't care if what they're saying is false or not. They are like some politicians of late.

They don't even understand that giving out a wrong or misleading answer will affect their credibility. You see LLMs don't have a DESIRE for credibility. They don't have desires.

We need not fear these models. But we do need to fear some people who will use them for evil purposes.
The lectures predate the standard model, so your assessment is incorrect. Fundamental physics has advised in the mean time.

But should you expect advances in physics to affect an introductory physics resource? It's not like people learning general physics are exposed to quantum field theory in any case.
Your lack of strong feelings is someone else's suffering. Not everyone agrees that marriage should resort in a lifelong ball and chain post-divorce.

And the case for child support is stronger than that of alimony so to use alimony as an excuse for child support payments weakens the argument, it doesn't strengthen it.
I assume ownership would follow the domain? if it gets transferred, then the ownership of packages gets transferred too?
> I find it silly to disregard a whole family of languages over a well-known nuisance on c.l.l

For years, c.l.l was plagued by a trolling Ruby advocate, who included blatantly racist content in some of his posts and signature lines.

So, don't use Ruby.
This is an interesting question.

To paraphrase as per my understanding of your comment, is intelligence an emergent property of being able to interact with each other through language?

Say I speak gibberish (to you) which is actually me explaining to you the theory of relativity, would you consider me intelligent?
Physics is centuries old though. Computer science is not. That physics changed so dramatically in the first half of the 20th century is certainly surprising, considering that the field already had a long history behind it.
I bought the printed versions about 15 years ago, not to prepare for anything but to "leisurely" read about Physics.

Richard Feynman had the uncanny ability to explain something at a level where it makes sense, and then back it all up for math.
It activates upon certain activities or at every hour - I haven't thought about voice activation though.

Here's an export and screenshot of the flow (these links will expire in 2 weeks):

https://pastes.io/5dfmorqw1d

https://ibb.co/gF55h46

I use a few custom "nodes" to make it easy to query and parse the response though:

* node-red-contrib-string

* node-red-contrib-custom-chatgpt

* node-red-contrib-home-assistant-websocket

On the Home Assistant side, you'll need to create some "Helpers" or "input_number" entities and an "input_text" entity for the reason.

Hopefully that helps you get up and running.
There are choices which set flags, decide character routes, and determine a multitude of endings.

Typically a full playthrough will try to get all endings, but won't get all of the subchoices that just affect flavour. https://vndb.org/v11/lengthvotes
Codesigning is something that's actively being worked on for PyPI.

It won't have that kind of "noob" reputation scheme, though: those kinds of schemes (1) effectively punish newcomers for daring to contribute to an ecosystem, and (2) are incredibly hard to build trust policies around (what's the trust gradation between "new package" and "very old package with a new maintainer"?).
I find it very useful. Even "most useful". Interacting with it almost daily.
> And a company as large as Google is way too large to swallow even for Apple, or for Microsoft.

I'd have said the same of Nokia just three years before Microsoft swallowed them whole.
This pretty cool but I am kind of curious how GPT would react to the "Drunk ELIZA" version of the chat bot found at:
https://danieltemkin.com/DrunkEliza

Something tells me it would lead to some pretty comedic results.
"Just press the power button seven times in a row." ^_^
> Linux sound subsystem maintainer Takashi Iwai of SUSE sent out the set of 36 patches

All in SysEx format, I presume? :p

Sorry, that's some low hanging sound design/kernel programming intersectional humor. This is cool stuff though, I've been a happy camper using Linux for sound design ever since Bitwig picked up native PipeWire support. These patches will be nice to have for MPE setups in the future!
If he acquired it from Topping’s estate, I’d like to see proof that Toppings actually paid for it.
Great posts. I think its an error caused by a mistake often made on the topic, the assumption that side effects we see now are some fundamental problem and not just an artifact of the way systems are trained and used. And of how we (mal)function.

Especially tightly embracing the cognitive bias of how special and wonderful our intelligence is. After all we have that fancy squishy brain which we assume to be essential. As far as i can tell the only visible bottlenecks when looking into the future come into view once you start debating intelligence vs emulating intelligence. And if thats really the metric some honest introspection about the nature of human intelligence might be in order.

Not sure how much of that is done purposefully to not get too much urgency in figuring out outer alignment on a societal level. Just as its no wonder that we havent figured out how to deal with fake news while at the same time insisting on malinformation existing, its really no wonder that we cant figure out AI alignment while not having solved human alignment. Nobody should be surprised that the cause of problems might be sitting in front of the machine.
The one thing that has convinced me that chatGPT has built a real world model is asking it how to stack different objects. You can ask it for the safest way to stack a pillow, an egg, a nail, a book and an action figure. Even get more complicated. GPT-4 will, most of the time, correctly reason through how to stack these items to form a stable structure without breaking. That tells me it knows intimately the physical properties of all of these objects and how they interact with each other.
> Literally half of humans -- in a professional IT setting -- can't understand simplified, clear english in emails. Similarly, in my experience about half can't follow simple A -> B logic.

There are alternate hypotheses.

People have preferences. When it appears that someone does not understand something, they may be pretending they don't understand it, or they may simply be ignoring it. Maybe they are trying to avoid an unpleasant task, or maybe they find dealing with a specific person unpleasant and not worth the effort.

In my experience, people are far more capable and competent when they feel comfortable and are interested in the task.
Computer Graphics can be a nice integration of several aspects of math (linear algebra + algorithms) with some rewarding visual feedback.
Thanks, I think after seeing that one I've been turned off the whole genre.

Maybe I'll get around to trying one of the others you mentioned in a different comment. :)
> Could this be utilized the other way around? Any package that was published using official GitHub action X, would automatically be signed as being created from something with source and link to source at given revision.

That's exactly the idea behind Sigstore[1] -- GitHub Actions (or any other CI system with an OIDC credential) can be leveraged for "machine identities", which in turn are bound to ephemeral signing keys. The end result is a scheme where users never have to touch or maintain a signing key while still getting all the benefits of a normal PKI-esque codesigning scheme.

[1]: https://www.sigstore.dev/
Many of our drugs in the UK are manufacturered in India.

I looked up a bisphosphonates and terrified to learn the purity was discovered to be lower than what is considered even BP grade and caused a consequent recall after a routine inspection.

Purity is significant, imagine your body receiving a carcinogenic compound at just 1% intravenously.

Sun Pharma is littered with recalls, some articles I found are border line negligence and seem to only issue recalls after an issue is discovered after routine inspection late into the supply chain. We shouldn't allow ourselves to be poisoned because of political correctness.
There is in fact compelling evidence that language models can learn some world models.

Here's a research paper on this and a blog post by the lead author summarizing the results.

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.
https://arxiv.org/abs/2210.13382

Do Large Language Models learn world models or just surface statistics?
https://thegradient.pub/othello/

-----

An argument based on common sense can also be made:
Any system that possesses a wide range of capabilities, most of which it was not specifically trained to perform, cannot possibly perform all these tasks so well solely by making probabilistic guesses.

(Humans, too, were not directly shaped by natural and sexual selection to possess all of our cognitive capacities.)
US is the worlds largest oil and natural gas producer.
I don't get the "magic" people are seeing. It makes sense.

>LLMs have somehow learned to fill in the blanks

It's not somehow, it's because they have read a ton of books, documents, etc and can make enough links between cheese and refrigerator and follow that back to know that a refrigerator needs to be opened.

I have seen a lot of very clever AI examples using the latest tools, but I haven't seen anything that seems difficult to deconstruct.
Free markets only exist in econ textbooks. It would be more productive to discuss actually-existing markets.
Certainly, I've just shared this in another comment here:

https://news.ycombinator.com/item?id=36018291

The flow is pretty simple in Node Red - render the prompt from Home Assistant and pass it to Chat GPT. The response from Chat GPT is parsed and sent back to Home Assistant in some "Helper" variables known as "input_number" and "input_text".

Once the values are in Home Assistant, it's pretty easy to change the colours of lights in an automation.
I haven't seen this mentioned but can LLMs actually play chess?

I'm sure they have read rules of chess online, but if you ask them to play chess with you, what happens? Can they apply the rules? Can they apply them intelligently and win the game?

My point is that even though LLMs "know" what the rules of chess are, they don't really "understand" them, unless they can use them to play the game and play it well.
> or just put a few industries out of a job.

Yeah no big deal. Happens in history all the time, within a year.
Certainly - just posted it in this comment here: https://news.ycombinator.com/item?id=36018291

Happy to answer any questions if you hit a snag.
Also, there is no reason to believe that playing chess in our head is anything else but us pattern matching a mental process on a higher level, recognizing a simulation there, and feeding that info back into the loop below. Nature provided us with a complex, layered and circular architecture of the brain, but the rest is pretty much training that structure. And we know that different architectures with similar outcome are possible, since there are vast variations across our own species, and other species as well, with essentially the same capabilities.
The key is Overseerr. It allows non-technical folks to say "I want XYZ show/movie" and it'll just show up as part of the private Netflix (Plex). It's incredibly simple to use, but it depends on the various *Arr apps to do the finding and downloading.
I think what makes SOB work so well is that it’s not only an electronic Bach interpretation, but a very well played and tasteful interpretation.
The cool thing is the artworks of this game is made using MS Paint!
A quick google search would tell you that OCI in this context means Oracle Cloud Infrastructure.
In general i would ask the pro's, e.g.:
https://duckduckgo.com/?q=Mathematics+Reading+List+Cambridge

My personal recommendation would be to cover functional programming from the ground up. I consider the benefits of learning this as enormous for me.
> the stakes are way too high to allow everyone a chance to play cowboy with the tools

This is really what pushed me into just doing digital design as a hobby and making my money elsewhere. It's understandable that chips companies are so risk averse (a bad tapeout or, worse, a major escape can cost the company billions) but it is really a miserable experience to have so much passion and ambition but never being able to do anything other than extremely conservative incremental changes over a decades long career.
Material conditions stand above all else. Ideology withers when confronted by reality.
Weird there are even negative comments about UPI. That too from people who haven't lived in pre-UPI era.

My father and my uncle both have had history of losing cash to robbery earlier in the past in broad daylight. Snatch and run. Huge amounts of cash. My wallet has not seen any paper-based cash in over 1-2 years now and I live in a Tier-4 town/city.

The habit of not giving the extra 1-2 rupees of extra change has gone. Now, its the exact amount. Plus no one these days have to loan out payments. You can directly pay the amount quick.

The scale and the way UPI has become such an integral part of Indian lives is such so much valuable that the minor inconveniences (Privacy & customer care) are ignorable.
> Go ask GPT 4 -- not 3.5 -- what it thinks about elephants flying to the moon. Then, and only them go write a snarky IEEE article.

It's hard to know what things have been seen in the training data and are only therefore correct. And GPT4 is large enough that it can generalize from learning that x doesn't make sense that y also doesn't make sense. Does that mean it *understands*? Maybe. But it doesn't have persistent state and can't do math. It's definitely not yet what we think of when we say AGI.
Thanks, I was rather involved in the research community. It has little to do with parsing text NLP-style. It has everything to do with annotating documents with formally structured KR data, or embedding the same into them.

In fact, my own involvement in the field started with Jim Hendler suggesting I look into the possibility of developing a spider that would wander across HTML pages and glean knowledge from them with an NLP technique. I worked on that for a while, then abandoned it and proposed to him instead that web pages should be marked up with formally parseable structured semantic data. Why parse a student's page saying he "Goes to U Maryland" when he could just write <claim obj1="me" obj2="UMaryland" rel="attend" ontology="http://ontology.org/university-ontology/">. That was 1995.
Tarteel – AI-powered Quran companion
I'm not 100% sure myself. My understanding is that if you swap out a piece of the page you need to sleet screenreader users to the change, but I don't know the best way to do that - I presume it involves ARIA attributes.
Until you utter the words:

Yoo-nee-kode
> Good reason to always try to include in a prompt a way-out, a do-nothing or I-don't-understand answer.

Do you have a good way of including such a provision?
Above the fold: The people behind the Gocycle G4 thought of everything
What's that old quote, you're not getting somewhere until you're going nowhere
> In the Bronx, DiMango’s job was to review cases and clear them: by getting weak cases dismissed, extracting guilty pleas from defendants, or referring cases to trial in another courtroom. At the start of 2013, there were nine hundred and fifty-two felony cases in the Bronx, including Browder’s, that were more than two years old. In the next twelve months, DiMango disposed of a thousand cases, some as old as five years.

https://www.newyorker.com/magazine/2014/10/06/before-the-law
> GPT 4 says put the book first

I assume it read the correct answer somewhere. Perhaps in a post like yours.

What does it answer if you say there is one egg, or two eggs? Or 1.5 eggs?
Citation please, for where you're saying the two parties agree on?
But then they had to add transparency at some point, no?
> Most Universities on the planet teach Java as an introductory language (which makes sense to be honest)

Respectfully disagree. Depending on what the introductory program wants to focus on Python, a Lisp or even C make more sense than Java.