skysight-inc/HackerNews huggingface dataset:
There's another illusory effect here: Humans are being encouraged to confuse a fictional character with the real-world "author" system.

I can create a mad-libs program which dynamically reassembles stories involving a kind and compassionate Santa Claus, but that does not mean the program shares those qualities. I have not digitally reified the spirit of Christmas, not even if excited human kids contribute some of the words that shape its direction and clap with glee.

P.S.: This "LLM just makes document bigger" framing is also very useful understanding how prompt injection and hallucinations are constant core behaviors, which we just ignore except when they inconvenience us The assistant-bot in the story can be twisted or vanish so abruptly because it's just something in a digital daydream.
I don’t really understand what you’re testing for?

Language, as a problem, doesn’t have a discrete solution like the question of whether a list is sorted or not.

Seems weird to compare one to the other, unless I’m misunderstanding something.

What’s more, the entire notion of a sorted list was provided to the LLM by how you organized your training data.

I don’t know the details of your experiment, but did you note whether the lists were sorted ascended or descended?

Did you compare which kind of sorting was most common in the output and in the training set?

Your bias might have snuck in without you knowing.
This is part of the Israeli Air Force safety culture: https://www.talentgrow.com/podcast/episode92

"By implementing a unique culture and methodology, the Israeli Air Force became one of the best in the world in terms of quality, safety, and training, effectively cutting accidents by 95%."

Near misses and mistakes are investigated and there's a culture supporting the reporting of these and that has resulted in a huge change to the overall incident rate.

Software is a little like this as well. The observable quality issues are sort of the tip of the iceberg. Many bugs and architectural issues can lurk underneath the surface and only some random subset of those will have impact. Focus only on the impactful ones without dealing with what's under the surface may not have a material impact on quality.
w/o Sony commenting nobody knows why PSN has been down for 19 hours and counting
This is a great response. I'm about 10 years sooner in my career than you. With young kids at home...I'm still holding hope that I can effectively balance my own health, family, spirituality, etc. with a product/technology I'm passionate about.

Maybe I'm just not seeking out the right groups/networks...but I increasingly struggle to trade-off a project that I'm passionate about with time spent focusing on health/family.
The Only Unbreakable Law <https://www.youtube.com/watch?v=5IUj1EZwpJY>
any chance of expanding on doc/Language.md?
It seems to me like you are assuming ChatGPT is always going to be right, which is coloring your use of the tool.
Not getting the job surely sucks.

The reddit post smells like a burning bridge.

Maybe this is a one off.

Maybe a pre-onboarding background check indicated it wasn't.

That might have been no more than senior management asking their professional network.

Of course in fairness Canonical might do this all the time.
This is absolutely a no-brainer for municipalities. The private companies are charging a premium that they return to shareholders and give to executives. Municipalities have excellent access to credit at rates significantly lower than the premium charged by utility companies. The residents get cheaper access and more influence in how the utility is ran.

The number of people that pay for-profit companies for natural gas (heat), electricity, and water in North America is absolutely bonkers. There is a specific concern about foreign corporations purchasing water rights in the American west.
When tested the overwhelming majority of things that “survived generations” didn’t work.

It’s amazing just how bad that stuff turned out to be. You personally can try whatever you feel like but the odds are just terrible that your going to find anything beyond mild pain relief and the risks can be go significantly beyond wasting time.
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Maybe A Whisker Away is actually a documentary...
I'm reminded of one of the earlier anecdotes from OpenAI about fine-tuning — to paraphrase:

> This writer fine tuned on all their slack messages, then asked it to write a blog post. It replied "Sure, I'll do it tomorrow"

> Then he said "No, do it now", and it replied "OK, sure thing" and did nothing else.
This looks cool, well done.

Incidentally it's also one of the few times I've seen a dart/flutter project on the front page of HN, and even had some non-critical comments, so again well done.
It’s interesting that all three of the people you mention are very concerned with performance, something most programmers don’t even think about anymore or think they aren’t supposed to.
For better or worse a near-miss has zero cost to the org as a whole and thus justifies org level zero investment.

That is okay as long as someone is noticing! As stated in the article, these types of near misses are noticed within the team and mitigated at that level so the org doesn’t need to respond.

That’s a cost effective way to deal with them, so I would argue everything works the way it should.
You are just name calling, there is nothing substantive in your argument. It is rude and offputting.
If you give it stronger hints could it figure it out? "imagine the data plot is a raster image. what is pictured?"
Well they have a book to sell, at the bottom of the article.
The article makes it sound like there is nothing to correct. The structure is crooked, but sound.

You can build a house around it.
> Of course if having a brain would be on the table there would be no contest.

Is that really what you think? In reality, the possession of a brain can't have any correlation with SAT scores at all, because there is zero variance in the trait.
My point is that most American leftists don't think he was a great president either.

_Especially_ after he put his foot on the scale in the 2020 primaries, orchestrating a behind-closed-doors pressure campaign to sharply unify the party's politicians and favorable media around Biden, in order to defeat Sanders.

Along with the drone war and a few other things, it's part of the package of insults that drove a number of people to stop identifying as Democrats or progressives and start identifying as leftists and socialists, which had been largely taboo terminology in the US (and online, "communists", which still is). The only people in the US still widely using "leftist" as an exonym for Democrats are far-right media and their zombie hordes of septuagenarians.

The leftists describe centrist democratic politicians as "liberals" as distasteful pejorative, and the right uses "liberal" as a distasteful pejorative interchangeable with "socialist" and "communist" and "leftist", for anyone and everyone who isn't on the authoritarian ethnonationalist train.

This semantic shift and new leftist discourse has accompanied a slow realization that the things Obama considered politically unachievable given the constraints of the donor class & media environment, were often things with 70% popular support, and 85% popular support among Democrats. That the perception of popularity & professional political support was being wildly warped by corporate/aristocratic power and the GOP political machine. That ranges from socialized medicine to closing Guantanamo to ending wars in the Mideast.
> Nowadays models can solve original math puzzles much of the time

Isn't that usually by not even trying, and delegating the work regular programs?
Why would it have to be one or the other? Yes, it's been proven LLMs do create world models, how good they are is a separate matter. There still could be goal misalignment, especially when it comes to RLHF.

If the model has in its internal world model knowledge it likely does not know how to solve a coding question, but the RLHF stage has reviewers rate refusals lower, it would in turn force its hand when it comes to tricks it knows it can pull based on its model of human reviewers. It can only implement the surface level boilerplate and pass that off as a solution, write its code in APL to obfuscate its lack of understanding, or keep misinterpreting the problem into a simpler one.

A psychic that read on ten thousand biographies might start to recall them, or he might interpolate the blanks with a generous dose of BS, or more likely do both in equal measure.
Great article, thanks!

Could the device work permanently connected to the power source?
That particular series was presented with very heavy emphasis on how "accurate" it was to real events, though, and many, many people thought it a documentary.
Given I knew what the test was before seeing one of these videos (yes, there is more than one), I find it extra weird that I still didn't see the gorilla the first time.

Now, I see it every time.
They don't really need OpenAI. There's literally a dozen LLM providers that would be sufficient for what an LLM-powered Alexa would do. Amazon has their own LLMs too. The underlying LLM technology is hardly the issue, at least now. (I'm sure it seemed like it was a year ago.)

IMHO the basic modalities have to change to make use of LLMs in a voice assistant. Alexa and other assistants are built around short utterances that map to a command or simple question answering. There's not much room to make that smarter; things like chained commands aren't just hard to parse (except with LLMs), they are hard to compose.

There's a lot of household use cases they could tackle, but it's almost like building a whole new product. I doubt they have the organization capacity to do that.

There's probably another category of development in making it more socially aware, also building on its position in a household. But it would have to change some of its privacy expectations to be "aware" beyond its wakeword. They have pretty good speaker identification, and I don't know what all they could do with their mic arrays and a sort of audio/spacial awareness, but I bet some interesting stuff is possible. By socially aware I mean adapting length of response, follow-ups, giving more continuity over time, and so on. That's something LLMs do well, but involves hidden state and theories of interaction that these big companies are very reluctant to implement. They are only comfortable implementing it at the training stage where it ends up in opaque model weights and no one takes any responsibility for the result.

From the article: "Research scientists who worked on the LLM said Amazon does not have enough data or access to the specialized computer chips needed to run LLMs to compete with rival efforts at companies like OpenAI."

To me this sounds like folks who don't know what they are trying to achieve, and coming up with excuses. (I thought there must be a term for this, and asked ChatGPT, and am quite delighted with all the options it gives: Strategic self-handicapping, Pretext paralysis, Deferral delusion, Obstruction illusion, Motivated impossibility – all of these seem to be hallucinated terms but focus on a different aspect.)

But it's true could also go deep with something like GPT's Advanced Voice Mode. This does actually does seem like a big technical lift. It's a change in the product, but besides the technical difficulties of better turn-taking, speech generation, memory, etc., it would otherwise be possible to drop it in to the product. It would change the relationship of Alexa with the household, but it's pretty clearly compelling.
Thank you for the tip! I just bought the (german) original which is fortunately still in print and very affordable as a hard cover.
Does it? Even in this article you see that Japan is dominated by a bunch of big chains. Even in a small sleepy town you find a 7-11 open all night, few other well known convenience stores, a big chain gym, a popular hotel chain as well as a nation wide karaoke parlour chain.
Can Characters Come Alive Without People?
txtar is used in the testsuite package to make writing CLI (blackbox) tests really easy. It adds a header section for the steps to run and comparisons to make. Often you compare actual output with golden data.

(https://github.com/golang/go/tree/master/src/cmd/go/testdata...)

The tools have been extracted and made installable from here: https://github.com/rogpeppe/go-internal/tree/master/cmd
This is really handy for any project to have people submit reproducers as a single file anyone can run. These tools make it so you can transform between txtar and files on disk, and then run the txtar (testscript) as a test or directory of tests.

I have built them into my hof tool, "hof run [--mode test] file.txtar" so you run them as either test files or multifile scripts. The second option is handy if you want to eject a file onto the filesystem without having to do echo or EOF business in bash scripts

https://github.com/hofstadter-io/hof/tree/_dev/script/runtim...
Well, take the macro position.

If you didnt have degree requirements and certification bodies for:

* accountants

* engineers

* doctors

* lawyers

What do you think hiring might look like?

Do you think they would build a hiring process to validate to the best of their ability your aptitude of the core fundamentals- except worse than certification and education bodies?

I would presume so at least.
Americans Are Trapped in an Algorithmic Cage
I have a 20 dollar per month subscription to Perplexity Pro. I can ask it about various topics and it provides me accurate and well sourced information with citations. I have access to hundreds of these searches per day.

To me Perplexity Pro is clearly winning in terms of quality when I use it for this purpose. I have tried the 20 dollars Chatgpt and the 20 dollars google gemini as well. Chatgpt is pretty good and Google Gemini is pretty bad even with the 20 dollars a month but Perplexity Pro is by far the best AI for me. It's gotten even better with the recent Deepseek integration that they have done.

Anyway when I compare Perplexity and Chatgpt with the things coming out of the Big Tech companies I can't help but shake my head. Hasn't Amazon spent billions and billions on Alexa? Even then Amazon is clearly behind...
this is getting a lot of hate here, surprisingly: people saying this is antisocial or you should just go to the store and buy a deck of cards, etc...

about 10 years ago my wife and I wanted to make a card game something like a twist on cards against humanity or madlibs, that could be played in person or remotely. I built a back-end and protocol for organizing and conveying cards and such, and she got all the content put into the backend, and my buddy started on a mobile front end. my vision was to build it very abstractly, like a card game framework, so it could be any card game (and users could even make their own games). one mode was to use a tablet as the deck on the table and then everyone can hold their hand on their phones.

unfortunately, life got in the way, priorities changed, and we never finished it.

I had this idea that we could sell/license packs of card content by actual physical card game publishers... phase 10, uno, CAH, etc...

don't let the jerks here get you down, I for one appreciate this project (in spirit, haven't looked at the code) and might try to use it to finish our game one day.

thank you for sharing!
> was very dismissive on Reddit and Lobsters

I'm not surprised. Reddit is a cesspool
This was in response to the size of rand & dependencies, trying to be the safe default for every use. I don't have a strong opinion on whether it belongs in the stdlib.
> I'm all with Antirez here. Software came here, because we developed the software just for the sake of it, and evolved it to production ready where needed. Not the other way around (Case in point: Linux).

Growing up in the 80s and 90s I understand viscerally how you feel, but this take strikes me as willfully ignorant of the history of computers, and the capitalist incentives that were necessary for their creation. The first computer and the internet itself were funded by the military. The PC wouldn't have existed if mainframes hadn't proved the business value in order to drive costs down to the point the PC was viable. Even the foundational ideas that led to computers couldn't exist with funding—Charles Babbage's father was a London banker.

I think a lot of what you are reacting to is the failed promise of free software and the rise of the internet, when the culture was still heavily rooted in 60s counter-culture, but it hadn't crossed the chasm to being mainstream, so it was still possible to envision a utopian future based on the best hopes of a young, humanitarian core of early software pioneers operating largely from the sheltered space of academia.

Of course no such utopian visions ever survive contact with reality. Once the internet was a thing everyone had in their pocket, it was inevitable that software would bend to capitalist forces in ways that directly oppose the vision of the early creators. As evil as we thought Microsoft was in the early 90s, in retrospect this was the calm before the storm for the worst effects of tech. I hear Oppenheimer also had some regrets about his work. On the plus side though, I am happy that I can earn enough of a living working with computers that I have time to ponder these larger questions, and perhaps use a bit of my spare time to contribute something of worth back to the world. Complaining about the big picture of software is a fruitless and frustrating endeavour, instead I am interested in how we can use our expertise and experience to support those ideals that we still believe in.
> We are destroying software trying to produce code as fast as possible, not as well designed as possible.

Legacy systems are born from rushing into implementation to feel productive rather than understanding the problem. Slow is smooth. Smooth is fast.
Yes, I plan to get to that; I'm currently working on documenting the compiler. I might put a pointer to existing documentation on Miranda there, as a placeholder in the meantime.
> A corollary if this that is my personal pet peeve is attributing everything you can’t explain to “seasonality” , that is such a crutch. If you can’t explain it then just say that. There is a better than not chance it is noise anyway.

Very early in my career, I discovered python's FFT libraries, and thought I was being clever when plugging in satellite data and getting a strong signal.

Until I realised I'd found "years".
Isn’t the story that Echo mostly exists because of Bezos? As in, it was his baby and wasn’t immediately discontinued because he wanted voice assistants to be a thing.

Whether that’s still true in 2025 I’m not sure, but the chances of him using it seems fairly high given its origins.
I appreciate you responding, although I actually was trying to save you the trouble by saying that I wasn't asking for tech support - it was more that I was using your comment as a contextual mini-blog/rant place to warn off others

That's because I'm cheating you: I knew about the marketplace, although Eclipse's "p2" concept drives me stark-raving when trying to setup a new instance on a machine. What I'm saying is that my life experience with Eclipse has been it is the "well, here are some components, build yourself an excellent IDE from them!" in the most user hostile way possible. It feels like the same committee that generated the Rational Unified Process got into making software. Architectural astronauts, using OSGi, to ensure than everything works on a presentation slide and nothing works when trying to run it

https://marketplace.eclipse.org/comment/8289#comment-8289 is a representative example of the same experience I've had with the "Eclipse ecosystem," showing it's not just me but a systemic problem with their release management discipline
Self-insuring is probably not going to fly with your mortgage lender. If nobody can get a mortgage, and everyone has to self-insure, it's going to 1) drive down housing prices (fewer cash buyers) and 2) guarantee that only people of pretty substantial means can afford to live there (even with lower prices, most people can't come up with a cash payment for a house).
Serving the Country
Oh no, what he said sounds racist! He shouldn’t contribute to the conversation then.
Well, except that Play Integrity will effectively prevent you from using any banking, payment or government ID app using a non-OEM operating system. I am writing this from LineageOS, so I am enduring the major inconvenience myself, but I do not expect the average person to do so.
How is FOSS guilty of the same? The code is there free for you to take, modify and fix, even if the project is otherwise abandoned.
That is for just the private pilot license of the most basic type for clear conditions. This isn't the greatest comparison.

For one, the FAA allows you to take as much or as little classroom instruction as you need. There is no classroom requirement (kinda, there are other ways to get a pilots license). I had 0 hours of ground school, and did self study. I know people with 50+ hours of one on one tutoring. The FAA evaluates you on your knowledge, they don't care about your experience, except for meeting the minimum number of flight hours.

To get to the point where you can charge money for your skills you are looking at 8x the flight time to get to 250 hours as pilot in command, plus a litany of other courses to earn a commercial certificate, but even here, you are lucky to get a job, and it will likely be pretty un-glamorous flying.

To get to fly an airliner (in the US, Europe has much lower requirements), you need 1,500 hours minimum for the piece of paper, and its not like you are going to be flying an airliner alone.
Software may be important in defense and medical but I don't think this is reflected in how software engineering is done or how software engineers work in those industries.
30C is pretty hot for room temperature.
Do you mean Chip the Wolf is actually a human who wears a wolf costume? Because he looks like a cartoon character to me, so he doesn't qualify as a "furry" in my mind.
Holy shit.

You can still delete this.
> by pointing out a problem, you are still implicitly asserting that some solution exists

Weird take.
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I don’t think profit margin is the correct way to calculate their expenses. For one, it includes expenses outside of the municipality. For another, corporations are often okay overspending on executive compensation and other lavish business expenses for tax purposes.
I did it this morning. Not sure if I'll repeat it soon, but result is really good.
Yeah I agree with this. It really depends on the culture of the business. If the employee feels valued, giving raises increases feeling valued.

The problem is our current form of corporate culture. Employees don't feel like they matter, there efforts are a cog in a wheel. If you get a raise in this type culture, it only matters to the bottom line and there is no incentive produce because the employee is already unhappy in the first place.

Change your business culture and these problems will disappear, IMHO.
You're really better off following the Show HN format https://news.ycombinator.com/showhn.html when you're ready to just let people try what you're working on without having to send emails. You don't have to be anywhere close to done but you should be at a stage where there is something people can play with, however incomplete or unpolished. You're much more likely to get feedback that way.