skysight-inc/HackerNews huggingface dataset:
Ironically, this perspective itself is a result of survivorship bias.

There are seemingly so few podcasts and publications about failure stories that it must be a rare and unique idea to start one, right? But the reality is that it's a very common idea. I feature success stories on my podcast (Indie Hackers), and I've been getting requests for "more failure stories" since day #1. I've tried them, and I've also seen a lot of competing websites and podcasts try them. And guess what?

They aren't popular.

It turns out, there's a lot of failure-based content out there. It just never survives or thrives enough to get popular. Hence the survivorship bias illusion that nobody is making failure content.

My theory as to why is simple to understand if you understand basic story structure: Every success story is actually made up of a bunch of small failure stories followed by a small success story: fail-fail-fail-win. People greatly prefer to hear the failure stories of those who eventually succeeded, than to hear the failure stories of those who never did. Not only does it make for a better overall story, but it's more effective to learn from. So I think people are right to prefer this.
This belongs on a plaque on my desk!8-)) Thanks!
You should read further down in the article where it expands on some more advanced concepts -- but in general you're right -- it is really similar to existing languages.

I wonder as its power changes, what paradigms it might suggest we break out of.

I'd also recommend reading its responses that are non-code in detail -- for instance, in the comment where it introduces TenetLang, GPT-4 actually calls out that it's re-using ideas. I would assume intentionally, because it knows what people are most familiar with.

> GPT-4

> In this new language, called "TenetLang," we'll combine a simple syntax inspired by Python with some features from functional and object-oriented languages. Here is an overview of some design choices:

- Indentation-based scoping, similar to Python.

- Strong typing with type inference, inspired by TypeScript and Kotlin.

- First-class functions and closures, similar to JavaScript.

- Immutable data structures by default, with optional mutable counterparts.

- A concise lambda syntax for anonymous functions.

- Pattern matching and destructuring, inspired by Haskell and Rust.

- Built-in support for concurrency using async/await and lightweight threads.

- Interoperability with other languages using a Foreign Function Interface (FFI).
I’ve done it casually and I’m sure many many others have, but a very quick and lazy Google (it’s not dead yet) brought up this writeup from December:

https://judehunter.dev/blog/chatgpt-helped-me-design-a-brand...
I find things in my life that require color printing are few & far between and would be better printed at a high res print shop.

The investment in color laser and cartridges would not be worth it in my case.
Recently I've been wondering about a somewhat related idea - a programming language designed specifically for a LLM to write in. I wonder how different (if at all) it would be from our current crop of language designed for humans to use.

I am a little less impressed by the example given in the post. It seems GPT4 still falls in the trap of being overly dependent on previous responses.
Or is the equivalent a BMW M3 over a Fordson
tractor? :)
Future data that's posted on the internet will be curated by humans. Humans don't post things that are incorrect or outright wrong.

That curation IS human data and will allow data from LLMs to further improve LLMs.

Additionally, there's a randomness element that are part of LLMs that allow LLMs to generate non-deterministic responses that when further curated by humans potentially allows LLMs to become Even better.
You can screen out hip dysplasia genetically, but the fundamental breed standards for bracycephalic dogs mean they always have compromised respiration. There is no way to breed them that avoids it.
That's Model Extraction basically
Better them than pitbulls I suppose.
Ah yeah that’s the perfect kind of show for it. It was for K3-SO for certain shots iirc.
They took 50% valuation cut raising this.
Man who invented labradoodle says it's his 'life's regret'

> Wally Conron says he created a ‘Frankenstein’s monster’ as unethical breeders now make hybrids with serious health problems

https://www.theguardian.com/lifeandstyle/2019/sep/26/labrado...
>Unless the suggestion is to build all images, from the bottom up, from scratch.

this doesn't really seem like an unreasonable suggestion.

just change your build process to pull from the source repository (almost always linked from the docker hub page) instead and eliminate one level of dependency from the chain. in an ideal world, docker hub would have been a more stable buffer inbetween the original source of the image and you, but as long as they are proving to be more of a liability than a source of stability, just cut them out.
> Humans don't post things that are incorrect or outright wrong.

Are you using ChatGPT to write this comment?

If not, I mean... are you okay?
The E-Myth covers stuff maybe consider basic on HN but it is really good for a first book
1) In a lot of western countries (EU, UK too I think) the hammer has already come down in favor of using public but copyrighted data.

2) Wouldn’t that cause open source models to be favored? A big company has lawyers that ensure that the internal practices comply with the law while on the other hand, good luck suing some random guy from 4chan who made a model that may or may not incorporate copyrighted data.
It's not all that funny, considering that the reason they were paying those reparations was the 'damages' inflicted upon French slaveowners by slaves freeing themselves.
You should try using a 10 year old device. None of the apps support the older OS given Apple's dictatorial app approval process. And you can't get away with upgrading to iOS 14 given how slow it will run, and you really have no choice for other OS on the architecture

Functionally they're useless
If Stripe went public via IPO between Sep 2020 and March 2021 (like so many other pre-IPO tech companies of a similar maturity as Stripe such as Snowflake, DoorDash, Airbnb, Unity, Roblox, Palantir, etc), their employees would still presumably be able to sell their RSUs at a $100B+ market cap after the 180-day lockup period as tech companies in the payments space like Adyen and Square only started to see their shares plummet from their peak in November 2021.

And if Stripe went public via direct listing like Slack and Coinbase, their employees wouldn't have a lockup period.
Probably nothing you would find particularly shocking or bizarre.
Images from first-known Native American female photographer — Jennie Ross Cobb
Theory as to why this is: caffeine boosts serotonin and serotonin increases guy motility. The faster the food transits, the less you can absorb and you lose weight. Higher levels of serotonin also reduce sugar craving.
The valuation cut happened regardless of raising this. They raised at a time when the valuation was down 50%. Raising it just made the valuation be an agreed upon, public number.
Comparing "Seoul" to "Yongin" is not very good in the grand scheme of things. Seoul has a metro area which doesn't include Yongin, but it would be unwise to consider Yongin outside of Seoul since it's basically a satellite city connected to Seoul. The name for this is Gyeongi but that's another thing. Most of Gyeongi is still basically Seoul in natural form. The same way Greater London is part of London but separate from the City of London.

Because Seoul is so big, it's more akin to calling Yongin a "suburb" of Seoul, and Yongin has its own suburbs.

Seoul and Yongin compared area wise would be the worst since you have to first set the definition of Seoul. Seoul covers Yongin in most natural definitions of a city, but in reality the Seoul inner region is its own and is obviously tiny. It's better to call it Seoul metro area (Seoul Capital Area).

Yongin is an old city, it doesn't have better infrastructure planning at all, but it doesn't have a lot of super old infrastructure which is great for future planning. Be it due to budget or just slow crawl of improvement, who knows. It's desirable because it has everything you need, now including Costco, IKEA, etc. and it's got land. That's all.

Your last answer is weird. There's nothing better about Yongin than living in Seoul, except for possibly commutes. It's all a matter of perspective and negatives. I don't think either are objectively better but living in Seoul is definitely more sought after and "higher" status.
I used to do the photo-finish at the local (regional area) races. Sit in a box for an afternoon, read a book or hack some code for half an hour to 45 minutes. Then watch the race, hold down a button as the horses cross the line, drag line-markers onto the horses noses on the image, mark up the number, print a copy, save to disk, go back to reading until the next race.

Collect $AU200 for an afternoon's reading, basically.

Lost the gig during COVID; easy-come easy-go.

(The camera was actually super-interesting: it's like a slit-scan camera, it records a pixel width image continuously and adds it to the last image taken. So if a horse passes the camera, it takes a photo of a sliver of the nose, then then next sliver of nose a split-second later, and so on. It's sort of like taking a picture of time, rather than space. Very cool).
It seems a little odd to use GitHub as the CDN for your JavaScript library. Like what if this got really popular, what’s to stop GutHub for shutting it down for abusing their hosting? If I were a customer for a CDN, I would feel more comfortable if they owned their own domain and could control how (and if!) their JavaScript is available to customers.

Anyways, other than that it’s a fun concept. I like the P2P nature of it.
If there is a being that understands there, then are you okay with what is essentially an ongoing horrible abuse of that being?

The whole reason AI tech is big is that there is supposed to no sentient being who understands, and therefore deserves any right to be treated well and get rewarded. If you take that away and grant AI human rights then there is no point in this tech. If you leave it in, then there can be no thinking in the sense we give the word. Mutually exclusive options.

Don’t fall for Microsoft et al. wanting to keep it vague. When it concerns ethics and human rights, there’s no way this machine is anything like a human, no-sir. When it concerns shameless use of others’ intellectual property for profit, aw but machine is learning like a human, so it is not theft because would you prevent a human from learning? Basic logic informs it must be one or the other.
yeah, but colloquially when people start using the term "stochastic parrot" they're referring to something far stupider. From a Technical and pedantic standpoint it could be said ALL intelligence is isomorphic to a stochastic parrot so it's not reasonable to assume in common communication that people are referring to the technical definition when they talk.

Your point in the article is basically saying that chatGPT is not as stupid as people think and also suggesting the fact that humans can be stupid in a similar way to chatGPT as well.
Sad to see that harder drugs like alcohol are legal even today. Does anyone in your family consume alcohol, rayiner? Pretty sad to see alcohol being sold so openly and consumed, in front of children.
I am not sure what is more absurd. The idea that China got away with TikTok for as long as it did? The idea that banz0rzing a single app will alleviate national security concerns vis-a-vis a top technological superpower? That people don't seem to realise that every silly game and utility app they've installed has a high probability of serving a nation-state-level APT? That Google/Apple/Microsoft are all engaged in exactly the same activities as TikTok, but I guess it's OK because they're domestic?

It's just a comedy of errors. Turtles all the way down.
I have rarely seen a balanced pair of opposing cabals. One side usually wins out, at least on individual articles.

> watching like a hawk for their opponents to make errors they can correct

This is a very idealistic view of how these battles are actually fought. Just settling for correcting the opposing side's errors would be very magnanimous. In reality, cabals usually try to get the opposing cabal's editors banned. The types of errors they look out for are violations of editing rules. Usually, both cabals are in violation of the rules, so it's really a question of which side is more effective at gaming the system. It's very common for both sides to try to bait their opponents into violating the 3-revert rule, for example.

Once one side wins, they can do pretty much anything with the article. Most articles about controversial subjects end up under the control of one side or another.
> the author’s perception has shifted, and as such their perception of humanity has shifted with it

I think your comment is largely anecdotal and is actually guilty of the very thing you are accusing the author of.

For instance...

> I think it is possible that “tech entrepreneur” as a monolithic “cool” category only ever existed inside the minds of that same group.

So, in my very personal opinion, the Best Time Ever to be in tech was in the 2010-2015 era, peaking at around 2012-2013. And in my recollection, that time, being in tech (which I'm loosely interchanging with the author's "be[ing] a tech entrepreneur") was seen as in-vogue even by people outside the industry. My less-anecdotal proof to back this claim is that it was around this time when public figures---politicians, no less---would advocate learning how to code/integrating a bit more CS in basic education.

We were disruptors. We were supposed to change the world. Until we weren't. We are, apparently, the old guard in fancy new clothes. We aren't here to make the world more open and more connected but to capture consumer groups in walled gardens, so that the best buyer can set a price on their data.

> recent events has unveiled some sort of new or previously hidden disdain for self-described tech entrepreneurs.

I really don't think recent events are unveiling any kind of disdain so much as adding another black spot to a long laundry list. The bucket already has water and everyone is just watching for the drop that makes it overflow.

> (It's B)

Again, I don't think you can just make the claim without showing some kind of proof (and having used the term "intended audience" I think comes with word-of-Judge level burden of proof) or explaining how you came to that conclusion.

For starters, I find it disingenuous to divide people like this. Even in my 2010-2015 era (which was also the show's heyday), A and B had a considerable intersection. There's nothing ever stopping you from participating in an industry you are critical about.

In my experience, even people squarely in the A category enjoyed the show just as much as people in the B category, some maybe for the wrong reasons. Arguably, not all in the A category found it amusing but I think that has more to do with whether you can joke about yourself than any sentiment you harbor about the tech industry and SV culture.
You could probably ask it for a more specific programming language to get around that, like say you want a programming language with static typing and garbage collection.

But yeah, if it just prints javascript and python styles then it isn't very helpful, but it is pretty good at source ideas in most cases.
No, you can’t screen it out. Genetics only account for about 30% of the causes of hip dysplasia
Interesting. I used to think that having an article summarization tool, like GPT-4 (provided the above is done correctly), would be a really cool thing.

But now I have some doubts. I am reading through Wolfram's article on LLMs, and I am enjoying it. However, if GPT-4 wrote a summary, it would probably just also said (or imply) that the main points of the article are pretty boring standard stuff. I would conclude it's not worth reading from the summary.

So the summary doesn't really tell me whether it's worth a read or not. Even if those main points have been presented before, maybe Wolfram is making some new arguments, or interesting analogies, or just some good joke or observation.

Taken to the extreme, AI could probably summarize many stories as "hero's journey". But that doesn't distinguish between a really well-written story and a really bad one.
or more specifically, https://gallery.ecr.aws/docker

for any "official" image you're pulling from docker hub, just prefix it with "public.ecr.aws/docker/library/" to pull from ecr instead
When people can’t afford homes or kids. Frenchy it is.
Everything is also math, or physics, or chemistry, or biology, or computation, or philosophy, or economics, or psychology.

It's not profound to put on blue-tinted glasses and marvel at how blue everything is. The only thing it tells me is the POV you chose for yourself.

"Everything is politics" is usually used as a wedge against uninterested people. Either you join my cause, or you're responsible for all current evil. It's certainly not an enlightened neutral observation. It's a call for culture war.
>The advent of chatGPT had millions of people on the internet trying to downplay the intelligence of chatGPT by continuously trying to re-emphasize the things it gets wrong.

Again the parroting. AI has been getting things wrong for decades. It's old news.

The paradigm shift here is in the things it gets right. Because some of the things it gets right can not be attributed to anything else other than the concept of "understanding".
Ehh, I feel like people use that as a justification for tiny dogs but it's not a great one.

I have an 80lb greyhound in a not-very-large apartment and life is easy. Energy levels are more important than size (greyhounds sleep a lot) when it comes to apartment living for dogs.
I can attest to the utility of Dungeon Alchemist... very fast. In an hour or so I had made a small inn/tavern my players will start at and a wilderness encounter map they will do after that, before getting into the manor I built the day before (my first map, so it took a bit longer) in a couple of hours. And they are very nice to look at too.
Speaking from experience, Venmo claims to reverse transactions, but will do everything in their power to NOT reverse your transaction, even if you mark it as business payment.

I paid an architect for work over Venmo. Work was never done and the architect ghosted me. So I sent all the info to Venmo in a dispute and they told me to pound sand.
Rule of law? What gave you the idea that was relevant when “national security” is at stake?
Midjourney v5 Released
Did you just compare Sam Altman to Zackerberg, Jobs and Elon?
What's to stop forums from being flooded with GPT bot accounts or people from using ChatGPT to write blog posts?
I bought a HL-5250DN for my father 14 years ago, best value for money printer ever. We never had an issue with it, the drum head been replaced once already (25000 pages).

I cannot say the same from my HP M476 which has print issues..
What I meant was... humans don't deliberately post WRONG output from chatGPT on the internet. IF they use it to write some blog post or something they will curate the output from chatGPT such that the output fits the topic and is correct to the context. Then when that data gets scraped for training it will be "curated" so bad data generated by the LLM isn't visible.

This is the scenario that occurs when the majority of text on the internet becomes generated by an LLM. Training data from humans is STILL fed back into the LLM via curation of the LLMs own data.

Also please don't ask if I'm "ok" just respond to the comment.
Weed doesn't cause cancer, perhaps you are thinking of cigarettes
> none of the words I'm saying are new, and many of the word combinations I'm using have been used time and time again. The ideas I'm expressing have merit -- but are they wholly original?

Then why are you saying it? But besides that query, your "word combination" bit elicited a 'so what?'

> We're all just remixing ideas we've heard before.

Something wrong with the grammar in that sentence. (Or do you go by we/us?)
> yeah, but colloquially when people start using the term "stochastic parrot" they're referring to something far stupider. From a Technical and pedantic standpoint it could be said ALL intelligence is isomorphic to a stochastic parrot

I mean that's somewhat his point (if I understand him correctly). All intelligence could effectively be described as a "stochastic parrot" as a result, calling something a "stochastic parrot" is a roughly meaningless insult that is really a thinly-veiled way of saying "no it's dumber than me" without actually using those words.

And his point is, it's essentially a defense mechanism in people when challenged by something that is much smarter than expected to overly emphasis it's mistakes and fall back to "no it'd dumber than me" than evaluate it for what it actually is.

I think that's the issue. It's a defense mechanism.

If you replace "stochastic parrot" in most of those comments with "it's dumber than me" you see what the comment essentially is. "It's dumber than me. I'm smarter than it, I don't need to be worried about it".
TenetLang with all the features from different languages, I wonder how would it actually function in a more realistic environment. Will it also inherit the underlying problems of all the said language. I wonder.
I think the better question is to ask the GP: "Are you a bot?"
image hosting is not that expensive at scale. i can put an image on ECR and pay for bandwidth and storage at what is really not very good rates, and it still comes out way cheaper than paying for what docker hub wants me to pay.
Adding to the list: they can't even give birth naturally, so most are born via c-section.
> Because some of the things it gets right can not be attributed to anything else other than the concept of "understanding".

Or just large dataset. The new thing we got was parsing natural languages, then we did a markov chain based on that so that it outputs semantic correct follow-ups based on what people on the internet would likely do/say in similar situations, and you get this result.

It is very easy to see that it works this way if you play around a bit with what it can and can't do, just identify what sort of conversation it used as a template and you can make it print nonsense by inputting values that wont work in that template.

Edit: Also generating next state based on previous state is literally what the model does and is the definition of a Markov chain, Markov chains is a statistical concept and not just a word chain.
So high you can see straight through the bs.
nobody is saying anything about eating poop, just exploring and testing a technology without investing large sums of money in it. (Yes, that's possible)
It also increases anxiety/stress which makes any benefit a moot point.
High cocaine levels might also reduce body weight and type 2 diabetes, just saying.
Economics is literally a meme. Major corporations will go out of their way to harm society even if it reduces their profits.
Discussed 7 months ago:

https://news.ycombinator.com/item?id=32456151 (10 comments)

And 3 years ago:

https://news.ycombinator.com/item?id=22368330 (77 comments)
I'd buy you a green dress. But not a real green dress, that's cruel!
Can someone who actually read the article summarize?
I see lots of criticism about how GPT4 simply invented a language that is a mix of Python and TS, and therefore it’s not intelligent.

However, given that (anecdotally, at least) 50% of candidates would regurgitate what they learnt from interview prep material given a general design question such as “Design Google drive” and the like, I’m not sure if most people are simply projecting their insecurities.