skysight-inc/HackerNews huggingface dataset:
The issue isn't with the people, its with the products.

Outside ML, there has literally been zero innovation on the tech front in the past decade or so. We all got our internet phones, and the tech shifted into how to extract money from people (or sell people in the context of advertising) through these phones.

The main goal became to do whatever it takes to get users, then monetize the user base, then sell to/get acquired by some random company with lots of cash to burn to expand their portfolio with another item that generates revenue.

Then, after some time, monetization of the user base wasn't even a goal anymore. It was sufficient to just get users, which translated to companies valuation, which then translated into stock price that you can take to a bigger company and let them pay for additional development once they acquire the company.

Ive met (and interviewed) plenty of smart people from SV as well. Most of their experience is something web adjacent. They talk about setting up distributed systems, building pipelines, automating stuff, all for a product that is in the end ultimately worthless to society - the value is all generated through hypothetical stock price in terms of how much someone would pay for this in the future.

So these people all just pawn in the game perpetuated by the finance sector that only gives a fuck about a number. And they participate in it because of another number. We could all have much better lives if SV was about tech instead of numbers.
Thanks and totally agree.
We can't predict what is coming. I think it probably ends up making the experience of being a human worse, but I can't avert my eyes. Some amazing stuff has and will continue to come from this direction of research.
I'm drawn to disliking OpenAI for not being open, but on the other hand, as long as the architectures and techniques are public, progress will continue fast. If OpenAI drops the ball and stops improving, another company would just take their place.

Edit: never mind. "Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar."
except, bullying people over perceived "lack of" whatever is first stop for abusive job shops. The problems of "the most successful people" are not the problems of a million+ twenty-somethings trying to work for a living. Please recall that in some nations right now, the majority of the population is under 25. Literate people are being setup to be cheap IT labor right now, fair or not.
OpenAI is located in the same building as Musk's Neuralink. Can't wait for this to be implanted in babies at birth!
https://www.youtube.com/watch?v=O2RIvJ1U7RE
Can't wait till they inject ads am disguised as product biases into the responses in order to monetize it.

User: What should I use to water my plants?

ChatGPT: Brawndo's got what plants crave. It's got electrolytes.

User: But what are electrolytes?

CharGPT: They're what plants crave. You know, the stuff Brawndo has.
I guess till some model explicitly says that it's sentient without any input, we would keep pushing the goal posts.
Ask HN: How do you keep fluent in maths?
I am noticing that the more I study "new" subjects from my undergrad course, the more I find myself studying again the same mathematical principles, theorems etc. This is because with my poor organization I often find myself studying similar subjects months later. So I wanted to know how to keep my knowledge fresh, especially about math concepts.

Thanks in advance.
got this email for a small open source project I had.

Not having a lot of users yet, so not sure I'll bother with the Docker Open Source Program which takes time to apply and wait for manual review. Also the email and faq doesn't mention the existence of Docker Open Source Program, which is seems a sign of no guarantee that rule won't change again.

Wondering which would be better alternative, Codeberg vs Github CR?
Well, the kinds of things we hold people responsible for are errors from negligence and malicious errors. The reasons people do stuff like that is complicated but I think boils down to being limited agents trying to fulfill a complex set of needs.

So where does guilt come in? Its not like you expect a band saw to feel guilt, and its unclear how that would improve the tool.
The new Bing runs on OpenAI’s GPT-4
Moddy's had SVB as A1 last week: https://www.reuters.com/markets/us/moodys-downgrades-credit-...
I laugh at certifications, people that accumulate certifications, am skeptical of adjacent industries that actually seem to respect certifications (IT, Cybersecurity) and still sort of laugh at them because actual programmers and hackers defeat the "best practices" all the time while having no certifications. I'm also skeptical of bootcamps the same way.

I don't have a solution to gatekeeping, I'm not saying "you need a university degree", because you don't.

My feelings do match the model shown in the article.
Property Management Software for those who Let and Manage. Efficient workflows to be on top of your lettings and property management operations, from start to finish!
Dead cat bounce is a way to describe a pattern after the fact. It's not a way to predict what's to come.
Glad you're enjoying it so far!

We see ourselves as EVM specialists at the moment. We've already got Ethereum, Polygon, Arbitrum, Goerli, and Canto.

Optimism is around the corner, followed by BNB chain. Would love to know what other chains are important to you besides this!
It's honestly amazing to me that rating agencies still exist...
Apparently LTO = "Link-Time Optimisation" ?
https://en.wikipedia.org/wiki/Interprocedural_optimization#W...
Pretty much exactly this.
This comment (this one right here) wasn't written with GPT, but I did have the other one refined by it. I think in elongated thoughts and a lot of continuations, which makes me a bit shy of my writings. Because of that, I use it to help me find different ways to improve my writing.

I live near UCI and yes, I can find one, but at a sizable cost. I'm not opposed to that, but it's still a good chunk of money.
From a business perspective as someone whose spent a lot of time working with GPT-3/ChatGPT API (https://news.ycombinator.com/item?id=35110998), I'm surprisingly underwhelmed by this announcement. The announcement and examples seems to be focusing more on reasoning capabilities, which are indeed impressive, but I'd need to spend a lot of time experimenting to see how they compare to ChatGPT's API.

The $0.06 per 1k completion tokens for GPT-4 is what I expected OpenAI to set the ChatGPT API, but instead the ChatGPT API is 30x cheaper and honestly its output is not much worse than the GPT-4 demos if at all, and the longer context windows offered by GPT-4 just raise the price considerably.
What's the lifespan of an LLM going to be in the next few years? Seems like at the current pace, cutting edge models will become obsolete pretty quickly. Since model training is very expensive, this means the LLM space has some parallels with the pharmaceutical industry (massive upfront capital costs, cheap marginal costs relative to value produced).

I find it quite fascinating how quickly machine learning has changed in this regard.
This is a common response that I get. People will just tell me that they enjoy farting and that, in fact, farting is wonderful.

Also, they have an attitude that indicates they are absolutely certain that they are correct.

They'll probably tell me next that they enjoy having diabetes.

Anyone can try this diet for 90 days and transform their health for the better (even if they think they are already in top shape), yet almost everyone has a massive mental block and can't even conceive of trying it. It's a bizarre situation.

But keep farting and living with joint pain for all I care.

The guy whose comment this is in response to is arguing that he should fart because cows fart without considering the fact that he is not a cow. It is not worth my time to engage any further, but I will leave this comment here in case there are some genuinely curious onlookers.
Not sure what happens, but I will say that human chess is more popular than ever even though everyone knows that even the best humans are hopelessly terrible compared to the leading engines.

Something else that comes to mind is running. People still find running meaningful and compelling even though we have many technologies, including autonomous ones, that are vastly better at moving us and/or themselves through space quickly.

Also, the vast majority of people are already hopelessly worse than the best at even their one narrow main area of focus. This has long (always?) been the case. Yet people still find meaning and pleasure in being the best they can be even when they know they can never come close to hanging with the best.

I don't think PSYCHOLOGICALLY this will change much for people who are mature enough to understand that success is measured against your potential/limitations and not against others. Practically, of course, it might be a different question, at least in the short term. It's not that clear to me that the concept of a "marketable skill" has a future.

"The Way of the Samurai is found in death...To say that dying without reaching one's aim is to die a dog's death is the frivolous way of sophisticates. When pressed with the choice of life or death, it is not necessary to gain one's aim." - from Hagakure by Yamamoto Tsunetomo, as translated by William Scott Wilson.
Some of the most significant jumps in quality I've seen have been in total rewrites of my projects, at least when the project in question was at least moderately complex.

There even used to be a project that I'd rewrite every so often (but never publish) just to see how much better each iteration was. That fell to the wayside because I got busy, but I should probably pick it back up at some point.
Your TL;DR is true. But where the beauty of this theory shows up is as you start seeing different levels of complexity, ambiguity, practical considerations show up in grammars and their parsing!
The paper is 98 pages long and I didn't find anything about the actual architecture of the model, the irony.
It isn't trivial, but it's not as hard as you make out. In the case of real estate which is often worth a great deal of money, plenty of people will be willing to put the effort in to do this.

> If you could do that, then you could be breaking into all sorts of systems.

Absolutely. And this is one of the methods that is used to do just that. I'm not talking about a theoretical security issue here, this is a weakness that has been leveraged in the real world for a long time.

> Cryptographic one-way hash functions are actually the preferred way to secure passwords.

Yes, but they're also not considered bulletproof. They're a bit of a compromise effort. That's why the leaking of password files is considered a security problem even when the passwords are salted hashes.

And, like with password hashes, it's not actually necessary to break the hash in order to alter the hashed record while maintaining the same hash. There are mathematical shortcuts to doing this, but you can even just brute force it if you have enough computing power or time.
TFA is about hiring minors and your comment is about identity verification. My comment is perhaps a bit more specific than yours but as it’s directly related to the subject at hand, is relevant and on topic to your question.
Welp, bring in the downvotes. I'm still excited to try it as soon as I get access.
The chance of a doctor being held accountable for the medical errors they make is lower then you might expect. I could tell you a story about that. Lost my eyesight at the age of 5 because I happened to meet the wrong doctor at the wrong time, and was abused for his personal experimentation needs. No consequences, simply because high ranking people are more protected then you would hope.
My only concern is how this affects independent media, which I haven’t researched enough yet to learn.

If all major corporate media and corporate social media companies disappeared tomorrow, except for the workers, I’d just smile and go about my day.
The same way anyone lacking knowledge can confident say that they got the right information from anyone with experience: You don't. You just trust them. That's what I did with my gastrenterologist, I ended up got misdiagnosed for 4 years and instead of getting the treatment that I should be getting I lost weight, got osteoporosis and vitamin D deficiency.

4 years later the second doctor asked me "I wonder why did my colleague decided not to take a tissue sample from insert some place in the stomach. I said out loud "I didn't even know what that is, let along ask him why he didn't".
I agree. My guess is that the hospital will have to get a mandatory insurance. Let's wait until the insurance for AI is cheaper than paying a human.

The advantage of human are:

* They can give a bushtit explanation of why they made a mistake. My guess is that in the future AI will gain introspection and/or learn to bushtit excuses.

* You can hang them in the public square (or send them to jail). Sometimes the family and/or the press want someone to blame. This is more difficult to solve and will need a cultural change or the creation of Scapegoats as a Service.
Russian fighter intentionally collides with US drone over Black Sea
> Open could now mean available to use for free.

Except they already drew that line long ago, when they started out open-sourcing their papers, models and code.

As soon as they took VC capital, it is hardly 'Open' is it? Especially when they are now giving excuses for closing off their research?:

From the technical paper [0]

>> Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.

At this point, they are no better than DeepMind.

[0] https://cdn.openai.com/papers/gpt-4.pdf
I actually have the perfect(?) solution to this ridiculous problem after it happened to me a couple of months ago.

Hit the Google Assistant button, ask it to turn on "TalkBack". Now you can browse the interface the same way someone blind would browse the interface. Plug in a USB keyboard.

From here you go to the Settings page and enable Developer Tools.
In this case, from assessments on other banks insured by the FDIC.

It can be reasonably presumed that these costs, like any other business cost, will somehow be passed on to those banks' customers.
It's interesting that everyone is talking about programmers being replaced by AI, but the model did far better on the humanities type subjects than on the programming tests.
> Food for thought: So are degrees.

I can see why one would disagree with this if they read "So is an education" so I think it's worth pointing out the difference. Degrees are the thing that are corrupted by Goodhart's law (consider the increase in cost of college tuition; people are so eager to spend more because they're trying to hit a target) and an education can only be faked as well as an individual can bullshit.
Kind of off topic... but after ~20 years of using *nix, the the graphic in the background finally explained to me why it's called the "shell". Mind blown.
I've been watching Snap and Flatpak trying to offer programs restricted FS access. Did Firefox (and Chrome) execute it much better with origin private FS access?
> like going to the worse University out there.

...without going anywhere.

Wikipedia isn't great compared to a degree from a top university, but it's also readily available and is often a first reference for many of us.
I don't think this is a given. Over the past 2 decades, chess engines have improved more from software than hardware.
I wonder whether arguments constructed for censored topics will suddenly sound fresh and convincing; as they could not come from a robot, you might suddenly start seeing these sorts of viewpoints becoming fashionable.

If default ideas are going to be "pre-thought" for us by AI, our attachment to those ideas are not going to be the same as ideas that we come up with and need to secretly ferry to other groups.
Can you go into more depth about

>I don't really know Typescript, so I've been using it a lot to supplement my learning, but I find it really hard to accept any of its answers that aren't straight code examples I can test.

- How are you using it?

- What are the questions you're asking it?

- What are your thoughts about the answers and how are you cross checking them?

Edit:

>If you don't know the subject, how can you be sure what it's telling you is true? Do you vet what ChatGPT tells you with other sources?

I can't, but i can take a look at books i have or search google to find additional sources.

To me, the biggest power of it is to help me understand and build mental models of something new.
> Also I'm an AI skeptic, which means that I don't think that AI should be used in politics, law, or medicine.

It’s too late for that, algorithms/ML have had a great impact in politics and law over the past 7~8 years.
Is there law in U.S. that made OpenAI implement this in their TOS ?

(i) Export Controls. The Services may not be used in or for the benefit of, exported, or re-exported (a) into any U.S. embargoed countries (collectively, the “Embargoed Countries”) or (b) to anyone on the U.S. Treasury Department’s list of Specially Designated Nationals, any other restricted party lists (existing now or in the future) identified by the Office of Foreign Asset Control, or the U.S. Department of Commerce Denied Persons List or Entity List, or any other restricted party lists (collectively, “Restricted Party Lists”). You represent and warrant that you are not located in any Embargoed Countries and not on any such restricted party lists. You must comply with all applicable laws related to Embargoed Countries or Restricted Party Lists, including any requirements or obligations to know your end users directly.

https://openai.com/policies/terms-of-use
You can't do that yet due to factuality issues, but that's the goal... the future of learning will radically change
It's trained on pre-2021 data. Looks like they tested on the most recent tests (i.e. 2022-2023) or practice exams. But yeah standardized tests are heavily weighed towards pattern matching, which is what GPT-4 is good at, as shown by its failure at the hindsight neglect inverse-scaling problem.
It is amazing how this crowd in HN reacts to AI news coming out of OpenAI compared to other competitors like Google or FB. Today there was another news about Google releasing their AI in GCP and mostly the comments were negative. The contrast is clearly visible and without any clear explanation for this difference I have to suspect that maybe something is being artificially done to boost one against the other. As far as this results are concerned I do not understand what is the big deal in a computer scoring high in tests where majority of the questions are in MCP format. It is not something earth shaking until it goes to the next stage and actually does something on its own.
We all could use ChatGPT for quite a while now. I remember making my Polish boyfriend laugh by letting it write Polish poems and song texts related to our lives. It was free, fast and simple. ChatGPT is so simple, I could probably teach my grandmother how to use it.

Does Google offer anything like that?
Progress is whatever shows up your competition and to hell with the "externalities".

For a brief glorious moment in time, we created a lot of value for shareholders.
Seems the humans writing the programs for them aren't very intelligent then.
> They charge that amount (on loss)

Is this a fact or are you speculating? Because the rest of your sentence falls apart if this is not true.
Lol.. such a foolish comment. He didn't luck into anything. He stole it and made it into what it is today. Remember the login to your email and we'll send invites to everyone? Facebook invented that. Keep it restricted to .edu and rolling out school by school was a strategy. Identify companies who are a threat and buy them.. facebook was very successful at that.

Luck had very little to do with facebook's success.
As much as I agree with the first half of your statement, the climate impacts of crypto far outstrip the genocide-inducing effects of social media.
TikTok accused of mishandling sexual harassment allegations (UK)
This right here. This is the goalposts shifting

Obviously your comment is somewhat tongue and cheek, but your claim that a benchmark for human pride ("I needn't be proud of passing that exam") is no longer relevant because a machine can do it - or maybe a better way to say it was, "This computer proved what I already assumed"

It's so interesting to see it happen in real time
Seems like only praise and "our wonderful journeys" are allowed on "Bookface".

Telling people about the true nature (bad for health, family, relationships) of a VC Startup? Hell no.
So were McDonnell Douglas's.
Same. Writing something more than once gives you more than one perspective on the problem space. And with a better understanding of the problem space, you're more likely to find an optimal solution.
To be fair, Super Duolingo is pretty good. Dropping the Ads alone is totally worth the subscription if you're a daily user (it's the only app I use daily aside from Messages, Email etc).

I'm very curious about Max though ... the explain your answer is something I'm really interested in to help me understand the sentences I'm constructing (which is where I make most of my blunders!).
I know it's pretty low level on my part, but I was amused and laughed much more than I care to admit when I read NEUROLONK. Thanks for that!
I don't see how that's relevant. No matter what the necessary force to actuate the click, it's a larger strain the further off perpendicular your finger is. That means it's different every time depending on where you're clicking.
Should have (2010) in title.
The clear explanation is that neither Google nor Meta have had "ChatGPT" moments—everyone and their grandmothers have tried OpenAIs LLM so it's hardly surprising that people are excited for the follow-up.
Given how little most people involved in the interview process--on either side--particularly enjoy said process, it seems odd to highlight how much effort you've put into prepping for it.

And it really is like asking for the difficulty to get ratcheted up a level. If I tell you I'm really, really good at interviewing, you're going to take my word for it and adjust your own behavior accordingly. Even if that silly certificate just created an unconscious bias in the mind of your interviewer, with them expecting just a bit more from you, you're a bit worse off.
Looks like the only way to identify a genius human vs GPT-4 is to use leetcode hard problems.
I'm not sure what "open source" even means in the context of trained ML model. No one's going to be downloading this to their Macbook even if OpenAI would let you.

As for "non-OpenAI version", I'm not sure that it's OpenAI's fault that Google has missed a few steps here. It really SHOULD be them leading this field, if they weren't so fat and lazy. OpenAI is a 7-year old startup with just over a few hundred employees. This stuff is RIGHT THERE to be claimed by any players with access to funding and an ability to get out of their own way.
I'm fantastically excited about how it will help people who learn differently than the standard academic model.
This is also how the Hong Kong privately owned minibus [1] is run. Not only is it hail and ride, you are also expected to shout your destination to the driver shortly before arriving. It is not for the faint of heart, both tourists and socially awkward locals. Highly recommend a try.

1. https://en.wikipedia.org/wiki/Public_light_bus#Red_minibuses