skysight-inc/HackerNews huggingface dataset:
I agree times 1000. I don't care about any of the fluff, intros and outros, interludes, additional production values, constant music in the background. In fact, the more overproduced it is, the less I like them. I much preferred Dan Carlin's Common Sense style, it's just him and mic being honest and thoughtful.
Oh wow that sounds absurd. I have a friend with extremely strong BO, and I need to be right next to him to notice even if he's not showered in a week.

The notion of smelling people across rooms... it's as freaky to me as if you'd told me some people have x-ray vision.

I wonder if your particular case of nasal cavity just happens to have topology that delivers air to the olfactory portion of it very effectively.
I had a similar experience. I wanted it to write code to draw arcs on a world map, with different bends rather than going on a straight bearing. I did all the tricks, told it to explain its chain of thought, gave it a list of APIs to use (with d3-geo), simplified and simplified and spent a couple hours trying to reframe it.

It just spit out garbage. Because (afaict) there aren't really examples of that specific thing on the Internet. And it's just been weirdly bad at all the cartography-related programming problems I've thrown at it, in general.

And yeah, I'm much less worried about it replacing me now. It's just not.. lucid, yet.
Allow me to offer you this twitter thread:

https://twitter.com/chaosprime/status/1607895175799373830
It's also helpful with explaining acronyms. Something like `What does SEO mean in "Search engines with SEO are so reliant on keywords"`.
It's helping with fast explanations for pretty much anything.

But the drawback is... it enables lazyness for the sake of "productivity", developer quality might significantly drop by spending less time doin propper research on their subject, and on top of that it's output is not necessarily correct but many will find it reliable again out of lazyness or ignorance.
Angola's 1977 massacre: Tragic twist for orphans of mass killings
300k users is insane. Is it BYO key? Otherwise how do you handle that much load for free?
If IP stops being a thing, we can always invent new laws to replace it such as "impersonation".
That’s “hacking” in the same way as changing the page number parameter in a URL is hacking ;)
> Unless they actually create AGI. It which case, everyone is fucked, regardless of the industry. At that point, we all have to become massage therapists or waiters.

GPT-4 has already shown sparks of AGI. It can solve complex problems with high accuracy. AGI is inevitable and will arrive soon, most likely within the next 3 years.

And those jobs you've listed can be replaced by AI, the only limiting factor at this point is the lack of a physical body. Though, massages will still be performed by humans as some people would prefer that, but others don't care and would likely prefer AI over a human. So AI will still be deployed to act as a massage therapist.
It has been proven it creates internal abstract representation models many times. Most trivial one is playing chess or go via text.
You reminded me: I discovered that ChatGPT had invented an API for me. Has that happened to you yet?

Since it went to the trouble of writing code for the API as well, I contacted the API developers to follow up about the topic. The code given was kind of a hand-wave anyway so I'd need to polish it up.

The developers were surprised to hear they had an API. In truth, there was no such thing.

I then found myself in one of those awkward "welp, guess I can keep my job" conversations...good for them, but for me: Go home, no API here. A disappointment with some meta-commentary sprinkled on top.
Maybe it'd be better to have it working on finding bugs in existing code. (I kid)
the paper: https://arxiv.org/pdf/2303.11366.pdf

it reminds me of the thinking-fast vs. thinking-slow dichotomy. Current llms are the thinking fast type. Funnily people’s complains about its errors are reminiscent of this. It answers just to quick and only with its instant response neural net. A thinking slow answer would be more akin to a chain of thought answer. Allowing the llm a more flexible platform than CoT promptin might well be the next step. Of course it would als multiply compute cost. So it might not be in your 20$ subscription
Have you tried OpenAssistant?
Access to water is a right, cleaning it and making it ready to drink is a responsibility you have to yourself. Nature makes it available, men don't have the right to preclude others, but what men make available men have the right to. To prevent others from doing so is a different story.
Money is also an unnatural construct, most of civilization has succeeded and advanced due to abstract constructs, and this is one of mankind’s strengths. Learn more about this in the book Sapiens.
I learned to write properly while doing my Ph. D. Basically, if your main job is publishing articles, that is not optional of course. And since English is the dominant language to publish in, I had to learn English as well (my native language is Dutch).

An eye opening insight I had while I was learning to write properly was that I was doing a lot of things systematically wrong. So, the job became learning to do it right in a systematic way. This didn't happen overnight but I learned from my mistakes one by one and started criticizing my own writings based on that and slowly improved what I was doing. One by one, I was eliminating whole categories of mistakes and learning why they were mistakes.

Another thing that I learned was that putting a lot of effort in writing creates a sunk cost fallacy. You start becoming defensive of all the text you have write. Learning to rewrite your text and stepping over your reluctance to delete stuff you have written is a key skill. Iterating makes things better. It's literally faster to rewrite than to correct text. If it looks or feels wrong, just delete it and write it again.

Another insight is that writing things down forces you to make your fuzzy ideas concrete. You get progressive insight from rewriting things that you've already written. This works better if you wait a bit for your short term memory to purge itself of any notions you might have. You can use time to your advantage here. Simply take a break and rewrite or revise what you have written later. Weekends and sleeping are great for this. You come back fresh and you instantly spot all the mistakes you made earlier.

People think of writing as an art form. Which of course it is. But in many ways, writing is like programming. It is governed by simple rules (grammar and stylistic ones). All you need to do is learn those rules and apply them. There's a certain logic to how a good text flows. How sentences and paragraphs connect, etc. The whole job of learning to write is figuring out how that works.

Tools actually exist that can check your writing automatically these days. Use those and don't argue with them and instead fix the issues that these tools will point out to you and learn about why those are issues that need fixing. Once you stop producing text that has loads of such issues, you'll have become a better writer. It's not that hard. But you do need to make an effort. And of course know to use and install such tools.

And since programmers indeed depend on written communication, this is a good skill to have.
Last night, I used GPT-4 to help me design a stereo matrix mixer circuit.

First, I used it to help me make sense of the datasheet for a crosspoint matrix IC, and when "we" determined that the IC I was planning to use didn't support some of the functions that were critical to my design goals, it suggested a number of alternative ICs which might work, along with listing potential tradeoffs that might impact my design.

In the process of doing this, I had it make suggestions on how I could use various combinations of resistors and capacitors to buffer (clean up noise) that might impact my signal. At one point, it generated a schematic so that I could see what it was talking about, and it was correct.

At one point, it imagined some functionality on an IC that does not exist, and when I asked it "on a scale of 1 to 11, how confident are you that the AD75019 supports EVR?" (essentially, variable resistance across all 256 crosspoints) and it went back to the datasheet to correct itself, saying "on a scale of 1 to 11, I am 100% confident that it does not support EVR", which is about as sassy as you can get while still being obsequiously polite.

During the entire conversation, it not only suggested that I verify our conclusions with a qualified EE, but kept recommending that I check out existing commercial products. Not because it didn't understand I was building a device, but because it kept telling me that purchasing an existing product would be less painful than the time, expense and difficulty of building my own.

I believe that it was (strongly) implying that my time is valuable and that I should stop while I'm ahead. I ended up ordering an Erica Synths Matrix Mixer today, though I still might build my dream device. I call that productive.
Do you really trust fancy stickers?

https://www.youtube.com/watch?v=cQzyWXPyn3A
Air isn't free as such, either, because of pollution. The moment you pollute air you are degrading its quality, up to the point that certain equipment has to actively filter the air before using it. Also keep in mind that "pollute" for example in denser settlements can also mean smells, e.g. someone is constantly cooking stuff that strongly smells and you live "downwind" of that, would you consider air as "free" or should there maybe some limit to what can be done with it?
I think paid it's the wrong word, but I agree that at least they should offer drivers for the hardware you own. Like if I get an AMD card, they provide drivers for Linux, and windows. At least they should for devices they don't plan on supporting anymore themselves.

A little bit idealistic, but we should make Apple accountable of their "eco friendly" image, we already have enough e-waste, to keep dumping good hardware to the trash because it not longer has support from Apple, despite working perfectly fine and safe with other OS like Linux.
I understand and agree that framing open source as the issue is ridiculous.
They may be redeemed though through the likely scenario that they didn't write this - GPT probably did. Perhaps their GPT doesn't like open source. :D
I feel vindicated reading this. Yesterday in a separate thread I claimed that it was wrong on 80% of the coding problems I gave it, and received the response from multiple readers that I was probably phrasing my questions poorly.

I started to believe them, too. Unfortunately, my brain is structured in such a way that a unanimous verdict from a few strangers is enough to make me think I’m probably the one who’s wrong. I need to make note of these events as a way to remind myself that this isn’t always the case.
How so? I just lazily typed "I'll be late in French" into Google search and got a Google Translate onebox with "je serai en retard". Or are you saying that the translation capability, while available, is not very good?
Strange that this isn't easily dealt with by:

1. IA actually buying a physical copy (or as many copies as they plan on simultaneously making available to borrowers) of the book.
2. After scanning the physical copy, destroying it, and documenting same.

Then as long as they guarantee that they only loan out as many copies as they physically had (before destroying them) there's no question of simultaneous usage.
Yes a no. A Sandy bridge computer (something like a 2500k i5) it's still perfectly capable to run as a home computer (and even light game, or pro tasks). And if you add a light distro to the mix and a GPU, it's even better than a new Celeron cpu you can get from current gen Intel.
The TuringPi RK1 modules should be available soonish too, they're prototyping boards right now. I'm hoping by the end of summer I can pick up a few for my cluster board.
A work of online serial fiction by blogger Scott Alexander, formerly of Slate Star Codex, now of Astral Codex Ten.

Goodreads has a decent intro blurb: https://www.goodreads.com/fr/book/show/28589297-unsong

If you're unsure whether his writing style is your thing, feel free to sample his shorter fiction from his blog:

https://slatestarcodex.com/2015/06/02/and-i-show-you-how-dee...

https://slatestarcodex.com/2015/04/21/universal-love-said-th...

https://astralcodexten.substack.com/p/idol-words
Other made-up constructs include human rights and democracy. Your argument does not make sense.
Your experience is insightful. It reminds me of a section from The Principia Discordia (not that I wouldn't recommend the rest of the book):

With our concept making apparatus called "mind" we look at reality through the ideas-about-reality which our cultures give us. The ideas-about-reality are mistakenly labeled "reality" and unenlightened people are forever perplexed by the fact that other people, especially other cultures, see "reality" differently. It is only the ideas-about-reality which differ. Real (capital-T True) reality is a level deeper that is the level of concept.

We look at the world through windows on which have been drawn grids (concepts). Different philosophies use different grids. A culture is a group of people with rather similar grids. Through a window we view chaos, and relate it to the points on our grid, and thereby understand it. The ORDER is in the GRID. That is the Aneristic Principle.

Western philosophy is traditionally concerned with contrasting one grid with another grid, and amending grids in hopes of finding a perfect one that will account for all reality and will, hence, (say unenlightened westerners) be True. This is illusory; it is what we Erisians call the ANERISTIC ILLUSION. Some grids can be more useful than others, some more beautiful than others, some more pleasant than others, etc., but none can be more True than any other.
As I grow older I witness that the people that built the computing industry are slowly but surely fading out.
The next generation now stands on their shoulders and keeps on building the next generations of computing.
Thank you Gordon Moore. RIP.
Operations. You still need humans to run everything physical.
Airpod max are over the ear headphones though, and the model I'm looking at looks pretty spot on
iCloud has screamed ineptitude for decades. I don't see how Apple can possibly develop successful products that can't be held in the hand and fetishized by myopic designers. Much like a stereotypical grandparent raised during the Great Depression, Tim Cook still leads like a supply chain miser trying to save a company that has long prospered -- they tragically squander the unprecedented capital at their disposal. Change my mind, Apple please.
> We can say that inflation is good for those with assets

If the assets are liquid ones not really; that's one of the reasons asset-holders start to clamor for the Fed to do something when inflation is high. I read the introduction of Secrets of the Temple, which is kind of a counter-conventional wisdom explanation of how higher rates of inflation were salutary for regular people at the expense of the ruling class, and it was pretty compelling.
Show HN: Dogma Metalanguage – Beta5
Hi HN!

I've just released the 5th beta of the Dogma metalanguage, which is designed to describe text and binary data for use in documentation.

https://github.com/kstenerud/dogma/blob/master/v1/dogma_v1.md

Most of the kinks are now worked out, and I'm hoping for a final release soon.

Notable changes:

* Cleaner byte ordering support with new byte_order, ordered, and bom_ordered functions

* New peek and offset functions

* Renamed swapped function to reversed

* More examples in the examples dir https://github.com/kstenerud/dogma/tree/master/v1/examples

Thanks to all for reviewing and helpful criticism :)
I think the OP means Apple should pay because they will provide support after Apple declares EOL. And the OP argues support beyond EOL should be mandated by law.

At very least, manufacturers should be asked to unlock things and provide documentation to let the community support devices. It's incredible the amount of devices that have perfectly fine hardware but are crippled due to the lack of software updates.
> If I have a physical object, you can't also have that physical object.

The parent was asking which laws are not constructs, and your example I don't think works as an answer to that question. In what sense do you "have" that physical object? For example, what does it mean to say "I have a phone"? "Having" in that sense is a construct, not a natural thing. You might be holding the phone, you might put it down, I might hold it while you are holding it, I might pick it up when you put it down, I might look at it while you aren't, etc. But there's nothing in any of those real natural world descriptions that correspond to having, until you start to include our social constructs around possession.
Note that pavucontrol is a GUI app. It does need Pulseaudio though (Pipewire may also work as it implements the Pulseaudio API).

Notifications aren't handled by the window manager, but AFAIK most applications will use a "system tray"-like service if they find one running.

Check wmsystemtray which implements a system tray as a dockapp, i have it at my dock and all icons and notifications tend to go through it: https://www.dockapps.net/wmsystemtray
Yeah, in that sense I think one of the next logical steps will be providing on-demand lightweight learning/finetuning of LLM versions/forks (maybe as LoRAs?) as an API and integrated UX based on user chat feedback, while abstracting away all the technical hyperparameter and deployment details involved in a DIY setup. With a lucrative price tag of course.
Do Kwon arrested in Montenegro while attempting to board private jet
LLaMA-Adapter: Fine-tuning LLaMA within 1 Hour and 1.2M Parameters
It’s a convenient symbiosis: Doomsday economists get cited by newspapers, which serves him/her in publicly and the newspaper in clicks.

Simple heuristic: if it’s easily digestible, it probably doesn’t serve true understanding. I think that especially true for newspaper articles related to economics.
I thought about asking what country you were from, but I realized it doesn't matter.

I'm from the United States and I want this app banned. While the things you cite are or could be bad, it's entirely irrelevant to dealing with an app that is demonstrably a psychological control system. You're upset that CIA or US Army spec ops kidnapped people from your country? Imagine the United States injecting a social media system into your country that brainwashes people into thinking that they deserved it. TikTok can do this.
Just add metrics for the number of times "ChatGPT" and "OpenAI" appeared in tweets, reddit posts, and HN comments in the last (rolling) five minutes, put them on a dashboard alongside all your other monitoring, and have a threshold where they page the oncall to review what's being said. It doesn't even have to be an SRE in this case; it could be just about anyone.
To me it is most useful when I have a singular issue with a bounded piece of code. Like a method, a single algorithm. A nasty SQL query too sometimes.

I don’t use if often (once a day maybe) but when I do use on problems I know it is good at I get really good answers. Oneliners to things my code is taking 20 loc to do, or some simplification I overlooked. But I have to be careful about what I give it.

I know I am better with architectural issues, but I suck at puzzle-like algorithmic problems. Don’t like them either, feels like a machine should do that and now it does.
I think this is interesting, because it points out the ways in which a future GPT might be subtly trained to embed advertising. "It looks like you're doing X; have you considered a commercial solution, such as Y or Z?".

While you did wind up with a device that probably will suit your need, you also wound up out of a potentially fun hobby project. Not everyone will call that a win :)
Fucking porn again.

Would you get kicked off Stripe if your users use your platform to post porn? Or, if you're a generative AI product, to generate it?

Do you have to ban porn outright, or can you be porn-inclusive but not predominantly porn? What if that area of your product / site is cordoned off?

Twitter uses Stripe and is filled with porn. Reddit and Patreon are filled with it too and they take credit card payments.

If only 10% of your users use your service for making/sharing/viewing/whatever porn, does that mean you're okay? What about 49% or 51%?
What consequences did you have in mind? Most CEOs get a golden parachute when they're sacked.
> and got to work

Can you elaborate?
For general troubleshooting, it's helpful to ask things like "How do I troubleshoot a slow OS X finder?" How do I migrate mail messages and calendar items from one Office 365 mailbox to a new Office 365 mailbox with different email address in the same tenant? Can I use group policy to configure certificate based authentication for Microsoft Outlook? Where do I start when trying to renew and replace an api certificate on aws?

Also, for leisure I've been using it for gaming. For example, "Do you know about the survival game Rust (yes)?" Then follow up questions, how many beancan grenades to break a metal door? How long will it take to craft 500 sulfur worth of 9mm ammo? I've learned quite a lot from it but when it said I can use a grappling hook to scale a high external stone wall, I noticed this flaw. There is no grappling hook in prod/vanilla Rust, so I told it so, and it corrected itself to say it may only be available on modded servers.

Also I ask it a lot of medical questions, treatments, symptoms, long term outlooks, over the counter treatments etc.
>Then by that reasoning everything in the physical world is a Markov chain, right?

Well I guess maybe it's true that you can turn any stochastic process into a Markov Chain by changing the state space somehow (for example the states could be sample trajectories up to some finite time T). And while this is true it may be not very insightful.

But I personally think that to understand LLMs it is much better to think of the whole context window as a state rather than the individual states. If you modelled a simple register-instruction computer as a stochatic process, would you take the states to be (address last symbol written, last symbol written)? It makes much more sense to take the whole memory as a state. Similarly a transformer operates on its memory, the context window, so that should be seen as the state. This makes it clear that seeing it as just a stochastic parrot is misleading, as its all about conditioning the distribution of the next token via prompt engineering the previous tokens. And it is nevertheless a Markov chain with this state space.
the point is if humaneval was in gpt training data, then this component improved memorization from mediocre to Ok-ish, and actual coding skills still not tested.
You were completely at liberty to not join this conversation that you are clearly not interested in having.

Yet here you are.
This is one of the causes there's a push to run your own engines for large language models: if you run your own service you can control the environment, data and reproducibility.
Better ChatGPT website: https://bettergpt.chat/
Wow. Saving this playlist to share with coworkers!
I don't think I'm so smart, what I am saying is the GP is being extremely dismissive of other engineers here on Hackernews. Every post about LLMs is full of engineers stating how these have been useful to them. GP simply asserts that these are all "terrible engineers." Do we think that's REALLY the case or in fact LLMs can be very useful, especially when for example learning a new language or framework they haven't used before.

Example: recently I was curious about cross-platform UI development so I used ChatGPT for research into different frameworks and made several apps in Java and .Net. Not being an engineer who's built many GUIs before, ChatGPT was amazingly useful for this and help speed my progress. Does this make me a terrible engineer?