skysight-inc/HackerNews huggingface dataset:
This is terrible idea that will be aggressively rejected by humanity.

This is exactly the type of "tech bros are completely out if touch with how people work" vision of the future I guess we should expect from the guy that wrote this article.

Humanity has never lived in a world where leisure and idle time are not constantly being invaded by the oppressive survival demands or a hierarchal authoritarian mandate from a ruling class. If AI does provide a mechanism to allow humans to spend their free time in true leisure, like most of humanity living in the Star Trek future, then we should embrace it. Not straddle humans with artificial subordination.

Reject this as all costs.
I don't trust any project with a Discord listed so prominently

Give me a forum (even Discourse will do) , I'm tired of needing 3rd party spyware to interact with developers. That it is all closed off from search engines makes it even worse
Also Peter Thiel I believe.
From the discussion in the rest of the thread, this test isn't required for hiring someone in a H1B in the first place, but it is required to upgrade it to a green card.
I think it was meant to be satirical. Like, it’s supposed to be about how the old folks want the young folks to be. Pleasant times.
Twitter stopped doing the "follower feed" thing for years before Elon bought the website. The propaganda has gotten much worse, but let's not pretend Twitter wasn't widely considered the worst website on the face of the planet (except Facebook) even before Elon took over
And let's be doubly fair, 'Screwing You on a Beach at Night' is a perfectly serviceable techno/dance beat. And a lot of their music is that, perfectly competent. But then they pair it with the stupidest fucking lyrics as possible. Often describing the very themes of most songs in the most crass way possible.

I mean, one of the lyrics is literally "Echo" as it echos. He's just describing the song.
Expecting AGI from Reddit training data is peak "pray Mr Babbage".
Android 15
I came here to write exactly this .. if I was drinking something I would have spit it everywhere laughing when I read it.

I guess 'many developers' here probably refers to web developers who don't use the debugger, cause it's mostly useless/perpetually broken in JS land ..? I rely heavily on the debugger; can't imagine how people work without one.
This is very cool. Congrats on the launch.

Everybody has their own DSL to do the same thing.
Yeah the person I watched the newest episodes said as much as well, she's quite sensitive to these things. That said, that show does have the warning ahead of the show.
UK shrinkflation hits an absurd milestone
Shrinkflation e.g. your favourite chocolate bar price is unchanged but weight sneakily reduced by 10%.

Now... underpants. H&M Cotton-rich short trunks Large were 33in at waist and are now (on the sample I bought today) 30in.

And unlike the chocolate bar which is marked e.g. "25g", the shorts' packaging lacks any figure to reveal the reduction in the number of inches you are getting.

What next? 11-inch rulers? :)
> LLM saves me time by being excellent at yak shaving, letting me focus on the things that truly need my attention.

But these tools often don't generate working, let alone bug-free, code. Even for simple things, you still need to review and fix it, or waste time re-prompting them. All this takes time and effort, so I wonder how much time you're actually saving in the long run.
> Or being aware of how its utterances may come across to its interlocutor.

I think this behavior is being somewhat demonstrated in newer models. I've seen GPT-3.5 175B correct itself mid response with, almost literally:

> <answer with flaw here>

> Wait, that's not right, that <reason for flaw>.

> <correct answer here>.

Later models seem to have much more awareness of, or "weight" towards, their own responses, while generating the response.
Computer programming is easily verifiable, the code works or it doesnt. so you dont need good english, and your education doesnt really matter since either you write working code or you dont. its also a massive cost on businesses. theres like a thousand reasons
Jones owes them $1.5 billion. They're never going to see most of that judgement. They're likely giving up money they were never going to receive anyway.

My hunch is that the judge and everyone involved knows that they aren't going to get anything substantial from Jones, which is why they allowed them to use money they are owed from the judgement as part of the bid. It allows them to get something of value out of the ruling (or at least take something of value from Jones).
I disagree. The media makes it seem like a coin flip, but the prediction markets where people are focused on making money was accurate.
This is compared to the media who are more interested in pushing lies and ideology.
Yes Peter Thiel, but he’s the only other one I’m aware of.

That’s not exactly a groundswell of support from Silicon Valley.
Dude sang about smoking weed, hanging out, and loving each other. None of that goes out of style.
My bike does that too, it's annoying and it's disappointing they wouldn't put in a capacitor that ensures it doesn't blink at lower speeds or whatever. The back light has a battery in it so it stays on for a while when the bike is stopped.
Maybe that one which plays chess well is calling out to a real chess engine.
Voice for LLMs is surprisingly good. I'd love to see LLMs used in more systems like cars and in-home automation. Whatever cars use today and Alexa in the home simply are much worse than what we get with ChatGPT voice today.
1. Trump got the US out of the TPP, which to this economic populist, was amazing. If you think that NAFTA led to the blue collar backlash against the Democratic party that got us to this electoral result, TPP sez, "hold my beer!"

2. Trump bungled the fuck out of his first go round. I expect lots more of the same.

3. There are two other branches of government; we will see how they act. Maybe the Senate Democrats will RtFM section about the "Filibuster" button, especially with Manchin and Sinema gone?

4. Lots of left/center left/progressive media hyperventilation about the potential bad stuff, but only today, after the election did I hear that RFK Jr. thinks that DTC advertising of prescription drugs should be banned, and that SNAP (fka "food stamps") should not be allowed to be spent on (for example) soda. We already regulate what WIC can be used for; why not SNAP? Are there other policies we are not hearing because they don't play as well for clicks? Idk? Yes, I think the guy is misguided on vaccines, horribly so, but post-COVID, we are already in an environment where it is easy to opt out of vaxxing your kid or yourself if you so choose. I dont think RFKJr represents a big change here.

5. Lots of terrible things we were promised during T45 just didn’t happen. The worst, Roe v. Wade, was horrible, yet here in my very red state, we passed an amendment such that, we now have more abortion rights than when RvW was a settled precedent.

So, yes, at this point, Maybe.

But then again, I am not a bed wetter. ¯\_(ツ)_/¯
> have reiterated your position

I clarified my position. The visualisation isn't the totem per se. The representation is.

> term carries a negative connotation, and therefore proves the other person (myself) correct

Nobody said you were wrong. Correct, necessary and even germane are distinct.
> you can have LLMs create reasonable code changes

Could you define "code changes" because I feel that is a very vague accomplishment.
I will get excited when an LLM (or whatever technology is next) can solve tasks that 80%+ of adult humans can solve. Heck let's even say 80% of college graduates to make it harder.

Things like drive a car, fold laundry, run an errand, do some basic math.

You'll notice that two of those require some form of robot or mobility. I think that is key -- you can't have AGI without the ability to interact with the world in a way similar to most humans.
This sounds like something more up the alley of linear genetic programming. There are some very interesting experiments out there that utilize UTMs (BrainFuck, Forth, et. al.) [0,1,2].

I've personally had some mild success getting these UTM variants to output their own children in a meta programming arrangement. The base program only has access to the valid instruction set of ~12 instructions per byte, while the task program has access to the full range of instructions and data per byte (256). By only training the base program, we reduce the search space by a very substantial factor. I think this would be similar to the idea of a self-hosted compiler, etc. I don't think there would be too much of a stretch to give it access to x86 instructions and a full VM once a certain amount of bootstrapping has been achieved.

[0]: https://arxiv.org/abs/2406.19108

[1]: https://github.com/kurtjd/brainfuck-evolved

[2]: https://news.ycombinator.com/item?id=36120286
when you write async JS code the debugger essentially adds no value over printing
Usually, when big orgs like that dump their projects to such a foundation (like Apache), it is that they are about to drop investing in support it soon.
OpenAI's Sutskever predicts new AI "age of discovery" as LLM scaling hits a wall
Ive noticed the same and wonder if this is the natural result of public codebases on average being simpler since small projects will always outnumber bigger ones (at least if you ignore forks with zero new commits)

If high quality closed off codebases were used in training, would we see an improvement in LLM quality for more complex use cases?
What difference does it even make if it’s an open source project or not? Compile times are a big deal.
There's no silent p in prompt. https://en.wiktionary.org/wiki/prompt
I'm more on the camp that these techs don't need to be perfect, but they need to be practical enough.

And I think the latter is good enough for us to do exciting things.
I agree there may not be a better system than a Jury based one. The problem is that humans are fallible, and there are people who want other people in jail for being "bad people".

My position is that being bad isn't a crime. Telling lies isn't a crime. Insulting people isn't a crime. etc. Trump and Jones were treated badly because people like you are willing to wage lawfare against the powerful and the wealthy simply because they hate people for being powerful and wealthy.

Since you bring up my own wealth, I indeed am in the top 1% of population, so speak for yourself.
Thanks! We process the videos in parallel so the processing takes as long as the longest uncached transcript. But then we cache those transcripts so if the videos come up later they don't take as long to process.

We're planning on keeping it free - enjoy and let us know if there's anything else that comes up!
That story was a bit blown out of proportion. He gave a research grant to the bot's creator: https://x.com/pmarca/status/1846374466101944629
Cookie banners aren't warnings though, nor legal requirements; the legal requirement is that the user has to make an informed choice before the website is allowed to place tracking cookies. It was the websites themselves that implemented it in a hostile fashion to intentionally annoy the user into just accepting it or to complain to the EU. But the EU never mandated the big cookie banners / popups. Be very careful with who you think has caused that.
I'm not really convinced of the value of such attestations until a second party can reproduce the build themselves on their own hardware.

Putting aside the fact that the mechanisms underpinning Github Actions are a mystery black box, the vast vast vast majority of github workflows are not built in a reproducible way - it's not even something that's encouraged by Github Actions' architecture, which emphasises Actions' container images that are little more than packaged installer scripts that go and download dependencies from random parts of the internet at runtime. An "attestation" makes no guarantee that one of these randomly fetched dependencies hasn't been usurped.

This is not to go into the poor security record of Github Actions' permissions model, which has brought us all a number of "oh shit" moments.
Pikachu is real to me :'(
Current AI coding assistants are best at writing functions or adding minor features to an existing code base. They are not agentic systems that can develop an entire solution from scratch given a specification, which in my experience is more typcical of the work that is being outsourced. AI is a tool, whose full-cycle productivity benefit seems questionable. It is not a replacement for a human.
In my experience Java debuggers are exceptionally powerful, much more so than what I've seen from C/C++/Rust debuggers.

If I'm debugging some complicated TomEE application that might take 2 minutes to start up, then I'm absolutely reaching to an IntelliJ debugger as one of my first tools.

If I'm debugging some small command line application in Rust that will take 100ms to exhibit the failure mode, there's a very good chance that adding a println debug statement is what I'll try first
True if you’re using AI the wrong way. AI means dramatically less code, most of which is generated.

Creating react pages is the new COBOL
It seems foolish of landlords not to care, though. Whenever there is some surcharge (commission, tax or whatever) you have to see it as the transaction paying it out. Not party A or party B. Both are robbed by the value extraction. A buyer who is made poorer cannot pay as much for what is being sold. A seller who is made poorer needs to ask more to make up for the loss.

If I'm renting out a place, and it turns out that the renter is being charged some exorbitant $2000 fee, that would severely bother me. I would advise the tenant not to pay, and give them the place anyway. The crooked broker could then try to get it from me; at most I'd give them $200, take it or leave it.

Actually, another thing, the current system described creates an opportunity for fraud. What if the landlord and broker are not at arm's length? A landlord could set up a fake brokerage operation and just pocket the fee.

If we frame the new law as not "landlord pays the fee", but "tenant does not see a fee (unless they retain a broker themselves)" then in that light it makes even more sense. If the tenant does not see a fee, then there is no space for such collusion.
> The only concrete things we know about gwern are that he's a world-renowned breeder of Maine Coons and that he is the sole known survivor of a transverse cerebral bifurcation.

How do you know those things are true?
Run macOS in a Docker Container
I think just reading the code wouldn't make you a good programmer, you'd need to "read" the anti-code, ie what doesn't work, by trial and error. Models overconfidence that their code will work often leads them to fail in practice.
Actually that is a real question and it has been studied in philosophy of the mind:
https://en.wikipedia.org/wiki/Intentional_object
I have 3 remote employees whose job is consistently as bad as LLM.

That means employees who use LLM are, on average, recognizably bad. Those who are good enough, are also good enough to write the code manually.

To the point I wonder whether this HN thread is generated by OpenAI, trying to create buzz around AI.
That's a nice idea. Thanks for sharing.

I have a single sheet per account (current accounts, share accounts etc). I download csvs and append to the relevant sheet - usually once per month.

In each sheet I've added a column called 'tag'. And I just tag anything that I want to keep track of - which is a small percentage of transactions. Then I can filter transactions by that tag.

Whilst it was a nice idea in theory to book every transaction to an account in a chart of accounts, I found that I very rarely looked at the PnL. And so it didn't justify the time involved in booking each transaction.
I'm down with Blind Guardian, they're fun!
When we test kids to see if they are gifted, one of the criteria is that they have the ability to say "I don't know".

That is definitely an ability that current LLMs lack.
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In the same way as how the Kubernetes ecosystem is the new Enterprise Java ecosystem? Often even from the same companies as back in the late 90s/00s.

Look: I'm probably ignorant, but from the outside the similarities seem striking.

Please explain why I'm wrong. I'm humble on this one.
I've been a bit out of the loop, may I ask what Knowledge Fight did on this front?
> because we understand the rough biological processes that cause this

We don't have a rough understanding of the biological processes that cause this, unless you literally mean just the biological process and not how it actual impacts learning/intelligence.

There's no evidence that we (brains) have achieved AGI, unless you tautologically define AGI as our brains.
Interesting that the article brings up the original 1990s GopherCons (which were conferences for discussing the Gopher protocol). I'm mildly annoyed that the Go programming community (which uses a gopher as a mascot) has reused the name for their conventions, but I guess it's been unused for a while.
Direct quote from the article: "The companies are facing several challenges. It’s become increasingly difficult to find new, untapped sources of high-quality, human-made training data that can be used to build more advanced AI systems."

The irony here is astounding.
I wonder which will benefit more: the reversal of aging or the scar-free healing of wounds?
I'm not against printf at all, my lifetime commit history is evidence of that. Do you also think that in the case of a coredump not existing, that printf is faster? Sincere question. I'm having an internal argument with myself about it at the moment and some outside perspective would be most welcome.
In my experience, the reality of long context windows doesn’t live up to the hype. When you’re iterating on something, whether it's code, text, or any document, you end up with multiple versions layered in the context. Every time you revise, those earlier versions stick around, even though only the latest one is the "most correct".

What gets pushed out isn’t the last version of the document itself (since it’s FIFO), but the important parts of the conversation—things like the rationale, requirements, or any context the model needs to understand why it’s making changes. So, instead of being helpful, that extra capacity just gets filled with old, repetitive chunks that have to be processed every time, muddying up the output. This isn’t just an issue with code; it happens with any kind of document editing where you’re going back and forth, trying to refine the result.

Sometimes I feel the way to "resolve" this is to instead go back and edit some earlier portion of the chat to update it with the "new requirements" that I didn't even know I had until I walked down some rabbit hole. What I end up with is almost like a threaded conversation with the LLM. Like, I sometimes wish these LLM chatbots explicitly treated the conversion as if it were threaded. They do support basically my use case by letting you toggle between different edits to your prompts, but it is pretty limited and you cannot go back and edit things if you do some operations (eg: attach a file).

Speaking of context, it's also hard to know what things like ChatGPT add to it's context in the first place. Many of times I'll attach a file or something and discover it didn't "read" the file into it's context. Or I'll watch it fire up a python program it writes that does nothing but echo the file into it's context.

I think there is still a lot of untapped potential in strategically manipulating what gets placed into the context window at all. For example only present the LLM with the latest and greatest of a document and not all the previous revisions in the thread.
> My entire point is that nobody is beyond the reach of elected representatives

That’s just stating the obvious.

> that is by design

No, it’s not. It’s just a fact of life that governments can control every aspect of a person’s life if it chooses. It’s always been this way and always will be.

This is why your statements are absurd.

When people refer to a civil service as being “apolitical” or “not politically appointed,” it’s obvious that they’re not referring to absurd cases like “a government can outlaw them from having a job.”

That’s why I said you’re reducing the argument to absurdity.
Thanks - appreciate the feedback on the contrast. And interesting, I feel like I haven't seen that happen with longer videos much but will look into it, thank you!
Zelda definitely took inspiration from Skyrim/Minecraft sandbox with the recent titles. There's also lots of Western RPGs that brand themselves as JRPG because they follow the linear format. It's less the exception that proves the rule, and more evidence that Eastern and Western developers are learning from each other.
It would've been many more if the episode wasn't pulled though. "cmon" is minimizing the harm caused and dismissing the victims - literally children having seizures and being admitted to hospitals.

Sure, some laws are absurd, and people with lactose intolerance or allergies probably do have enough common sense to avoid butter, but at the same time people need to be protected from harm.
An Engineering Diagram of the Brain (2008)
It isn't absurd, it's the entire basis of the argument whenever it's brought up. If only one civilization has ever developed Von Neumann probes, then they should have consumed the galaxy by now. That they haven't is presented as a paradox, or evidence against the existence of life beyond Earth altogether. Some degree of grey goo scenario (enough for evidence of it to be obvious and observable) is always implied.

>So, the existence of spurious reports magically invalidates actual probes?

Given that the entire premise of bringing them up was to validate the probable reality of those reports, yes. If one is going to argue that the UFO/UAP phenomena which are the subject of TFA are likely true because self-replicating probes should exist, a valid counterargument is pointing out that the craft described by said phenomena do not resemble self-replicating probes either in their construction or behavior. For instance by having pilots, or by appearing to travel across dimensions or faster than light, which would render obsolete the entire rationale behind self-replicating probes to begin with.
It’s worth noting that there’s likely a reason behind the significant number of employees leaving the Safety & Responsibility team. While social media often frames it as voluntary resignations, I spoke with a close friend last night who shared his experience. After 11 months on the team, he was abruptly fired without explanation, simply told that the company was "heading in a different direction."
CLion adds the power of IntelliJ debuggers to Rust. It works exceptionally well.
But the RAM requirements were crazy, 8MB RAM in the late 80s which is understandable for what the machine the was offering.

Interface Builder is nice, I remember trying to develop GUIs on Amiga with intuition.library and wished that there was a drag and drop program to build the source code. Running NeXTSTEP 3.3 on Virtual Box and trying to get it running on my early 2000s laptop :)