skysight-inc/HackerNews huggingface dataset:
Interesting. So in my use, I rarely see gpt get it right on the first pass but thats mostly due to interpretation of the question. I'm ruling out the times when it hallucinates calls to functions that dont exist.

Lets say I ask for some function that calculates some matrix math in python. It will spit out something but I dont like what it did. So I will say, now dont us any calls to that library you pulled in, and also allow for these types of inputs. Add exception handling...

So response time is important since its a conversation, no matter how correct the response is.

When you say deep seek "nailed it on the first attempt" do you mean it was without bugs? Or do you mean it worked how you imagined? Or what exactly?
> Those lists exclude royalty and other individuals who do not want the extra publicity

What individual(s)? You just mentioned a family and not an individual. Forbes lists Elon's net worth at $419 billion.
If you google, there is a $6k setup for the non-quantized version running like 3-4 tps.
I agree that it felt hard to read. It also doesn't make sense that they're fishing in a storm. But from a prose perspective I don't think it's cringe, which is an improvement from my expectation. I'd share some of the writings I think are terrible but I don't like to pick on people.
Show HN: Open-Source Full Stack AI Agents (NextJS and LangGraph)
I'm not certain how much influence Mao had in 1015 AD. Well, that's not true, I'm fairly certain the quantity is zero.
As a society with limited resources we can't pay an infinite number of academics. If we pay more of them to do comparative literature then that necessarily means we pay fewer to do other stuff like history or philosophy. So, given that we need to make hard choices, which criteria should we use? It doesn't have to be ROI but there has to be some kind of rational basis for making decisions.

This is how things work in the real world. Enjoy your existential despair.
Governments offer incentives for green tech. The oil industry likes green tech which still uses oil and gas. Hydrogen fills both niches.

Hydrogen is perfect, because it can theoretically be made fully green, but practically it never will be due to the terrible economics of electrolysis. But the fact it theoretically could be means it can qualify for all those tax breaks and grants.

Some tax breaks are contingent on investing in 'green' stuff - so for the oil industry it makes perfect sense to invest in the only green tech which will never not use oil and gas.
If you consider VSC a fat IDE (at half a gigabyte) then just install OmniSharp on its own.
"We have no visibility into what they are doing with the computer and data systems," one of the officials said. "That is creating great concern. There is no oversight. It creates real cybersecurity and hacking implications."

"...The new team at OPM includes software engineers and Brian Bjelde, who joined Musk’s SpaceX venture in 2003 as an avionics engineer before rising to become the company’s vice president of human resources. Bjelde’s role at OPM is that of a senior adviser......Among the group that now runs OPM is Amanda Scales, a former Musk employee, who is now OPM’s chief of staff...

...Another senior adviser is Riccardo Biasini, a former engineer at Tesla and most recently a director at The Boring Company, Musk’s tunnel-building operation in Las Vegas..."
Inner product – an old/new problem (2010)
Sorry. I was just making an exasperated statement that roughly boils down to “what is wrong with mainstream notation and who is going to learn or care about this completely different thing?”
How about the OMB under Biden, which estimated "information collection" alone takes the government 10.3 billion hours in FY2022? At $50/hour, that's already $500B. If you factor in everything other than "information collection", as well as the cost of compliance from private companies, $1.8T doesn't seem implausible.

https://www.forbes.com/sites/waynecrews/2023/09/25/federal-p...
Smart fabric heats up under the sun
I feel like this is missing the point. Trolley problems are absurd hypotheticals with no direct bearing on reality. Their usefulness is as thought experiments.

If you don't pull the lever the trolley kills one person. If you pull it N people lose a single limb. At what value of N does your ethical framework place the crossover point and why?
A paper about LLMs for Mathematicians written by four authors, none of whom seem to be actual mathematicians? (At least based on a quick scroll through their past arXiv papers, they seem like ML researchers.)

Just call it LLMs for ML Researchers, but then it doesn't sound anywhere as exciting?
There are only 100k professional athletes in the world. That’s 1 in 100k rounding to 10 billion people. So a professional athlete is already 4.2 standard deviations above average. Top 1% is only 2.5 standard deviations above average.

There are closer to a million professional actors… so actors in general are around 4 sd above average.
C# 2.0 was twenty years ago - in 20 years any language that is actively maintained is going change, especially as people adopt new syntactic sugar to write more concise code. However the .net team rarely ever breaks backwards compat with new features, and the only thing in recent memory was them adding a new keyword for implicit backing property fields (and I also felt their solve was elegant).

C has this same “problem” but I expect it’s less prevalent because most people still write in C99 and ignore newer C features (similar to C++).
https://floooh.github.io/2019/09/27/modern-c-for-cpp-peeps.h...

I think because the toolchain is unified, people tend to adopt newer C# features faster than other languages. You aren’t waiting on your permutation of msvc/clang/gcc to update, so when a new version releases, people update and start using new stuff. That said you can also write C# still like it’s 2005, but you’d be wasting time.

C# (to steal Jon Skeet’s language) has developed in the direction of removing “ceremony” in writing code. What in C# 2 would have taken like 20 lines to create a class in a CLI program and print a value can now be done in like 2 lines without sacrificing readability, and if anything is easier to read because you’re only looking at load-bearing statements instead of lots of flaff to scaffold simple behavior.
> In practice, you're going to test the next version of the compiler anyway

> In my experience, if you don't try to be excessively clever and just write straightforward C code, these issues almost never arise.

I think these two sentiments are what gets missed by many programmers who didn't actually spend the last 25+ years writing software in plain C.

I lose count of the number of times I see in comments (both here and elsewhere) how it should be almost criminal to write anything life-critical in C because it is guaranteed to fail.

The reality is that, for decades now, life-critical software has been written in C - millions and millions of lines of code controlling millions and millions of devices that are sitting in millions and millions of machines that kill people in many failure modes.

The software defect rate resulting in deaths is so low that when it happens it makes the news (See Toyota's unintended acceleration lawsuit).

That's because, regardless of what the programmers think their code does, or what a compiler upgrade does to it, such code undergoes rigorous testing and, IME, is often written to be as straightforward as possible in the large majority of cases (mostly because the direct access to the hardware makes reasoning about the software a little easier).
claude.ai is free (there are limits per day per account). It's not a "free [tier] model", it's their best model and (on most tasks) imo the best all around llm. The worst aspect I'd say is how outdated its information is becoming. Anything post 2023 you likely need to provide source material.
I don't think this article is very good

https://xenaproject.wordpress.com/2024/12/22/can-ai-do-maths...

https://xenaproject.wordpress.com/2025/01/20/think-of-a-numb...

These from the mathlib founder are much more informative!
Funny enough I found some old pants that still fit, ~20y old, and those pockets does not fit a modern phone. But I remember my Nokia 6210 being just the right size for them.
Yes, but AI safety in this context is the worry of the saw going full Christine on you, not bad boring safety design. LLM aided spam, spear-phising and automated bot farms are the actual risk. Beyond that are the consequences to the educational system and the effect of model bias on people.
"doing ok" or "barely keeping head above water". Is not a good look, when you have people doing demanding engineering jobs that require skill and years of education, that they have to keep themselves up to date learning past 9-5. I know married senior developer with two kids, 20 years of experience, still saving for deposit for a flat (as house is now out of reach). Rents are going up and so the property prices so they can't catch up. His wife can't work full time, because of children and nursery etc is unaffordable. They have not been on holidays since Covid and employer is talking about downsizing. Man is 40 and looks like 50 due to stress.
I know a couple of developers who are single, yes they do "okay", but they are nowhere near in a position to start a family. It's grim.
Then you have wage compression where really doing warehouse job doesn't get you much worse living standard than typical developer. You will have shittier flat, maybe extra housemate and you will shop in Aldi instead of Waitrose. That's very much the difference right now.
Indeed, even design and prepress required quite expensive hardware. There was a time when very expensive Silicone Graphics workstations were a thing.
I'm gonna disagree and say that rocket debris from exploded launches is not "hilariously common" without some citation.

The case could be made that it's similar to other debris that washes up on most beaches every day though.
AI - red in tooth and claw.
Or you modernize the system (not just tech but potentially the procedures). Kind of stupid to increase air traffic and traffic density over decades and just expect the old systems to scale.
Right, and I think your language was careful to imply that, but others reading this should understand solder mask does that but it's not what it's for, if that makes sense. The bit of mechanical and environmental protection it can provide after assembly is similarly incidental.
When your product goes viral, yes, you do a big spike in users. But what you’re really getting is an Invasion of Looky-Loos, low quality users who come in, check things out, but don’t stick.

Charging money is the simplest thing that might solve this problem...assuming the goal of your sales funnel is closing...i.e. assuming the goal of your sales funnel is sales.

If you aren't focused on closing, then you never get meaningful experience at closing. It is more comfortable to defer closing and imagine that someday you will close if only.

There are business models where user numbers matter...Google and Facebook come to mind. But they still close their customers -- they close advertisers. Imagine Apple optimizing for users and not sales...giving away iPhones and deferring sales and revenue to some nebulous future. Sales focus is probably the only aspect of your business that it makes sense to model on Apple.
Any machine learning model is pretty much just a regression function - its a best guess at what the outputs should be given the inputs.
No wonder search did not work for one book I tried. First it did not have the prefix and then the information on either the book or the database had different numbers...
The web is unreadable without Safari Reader. I have tried readability extensions on Firefox, but just printing to PDF cleans things up nicely, and there’s simplified mode, which is either a lot better or a lot worse. I choose the more readable of the two.

Why save PDF’s? Because while desktop searching is often slower than an internet search, I always get a relevant result. A search on Air Force One for an illustration turned up pages and pages of sneakers.
I implore everyone to watch the movie ‘Money Monster’, not only because it’s a great movie but also because I think it has a minor plot point that basically predicts how AI will be used.

(small spoiler)

In Money Monster it turns out the hedge fund manager who is blaming their state of the art AI bot for malfunctioning and rapidly selling off certain stock, tanking it because of that, did so out of a machine code error. He can’t explain what the error was or how or why it happened cause ‘he didn’t program their trading bot, some guy in Asia did.’
But as it turns out he did do it in some way.

I feel like using AI as a way to abstract blame even more when something goes wrong will be a big thing, even when secretly it was not the AI (ML) or who trained the thing’s fault.
Apple is open sourcing Swift Build
i love dotnet / c# and i would love to work with it again. i have been in the typescript/node world for the past 10 or so years, and while productive, it leaves much to be desired.
> it's on a country that has been extremely stable before

The US is a known bad design, nation builders working for the United States stopped trying to use this design for new countries in the 20th century, it doesn't work. It's inherently unstable and you previously got very lucky, although you have had a civil war and numerous close calls.

It's like oh, why don't we make coal-powered cars. Well because it's a known bad idea. We actually did try that, it's a bad idea, don't do it again.
Not disagreeing, but it shouldn't be flagged.
What witchcraft is this, with all those evil hexes??! She's a witch! Burn her!!!
“Defy the law” is nuanced. The government routinely operates by coming up with some aggressive interpretation of the law, doing something based on that, and seeing what happens in litigation. That was the basis of Biden’s student loan policies, opening up the border, etc. Heck, it’s the basis of our entire skilled immigration system, where we pretend like people who fully intend to seek permanent residence are genuine “nonimmigrant” temporary workers (which is what the statute says).

And these actions aren’t intruding on private citizens or the co-equal branches of government. Supervising executive branch employees is the core of the President’s role. I think Trump voters may have many disagreements on say “no taxes on tips.” I think approximately 0% want him to be anything less aggressive about the law when it comes to supervising the employees who work for him. The “Resistance” last time—which recall happened as soon as he was inaugurated—was a huge “fuck you” to them and democracy itself. It solidified the belief that democrats run the government no matter who wins the election.
Microsoft has never taken it seriously, often releasing Visual Studio with broken F# support. It's fine for something you want to tinker with (like say Elm), but not something that's easy to sell to engineering managers when starting a new project.
Bzip3: A spiritual successor to BZip2
The alternative isn't to use a weaker model, the alternative is to solve the problem myself. These are all very academically interesting, but they don't usually save any time. On the other hand, the other day I had a math problem I asked o1 for help with, and it was barely worth it. I realized my problem at the exact moment it gave me the correct answer. I say that because these high-end reasoning models are getting better. "Barely useful" is a huge deal and it seems like we are hitting the inflection point where expensive models are starting to be consistently useful.
Excavators are perhaps a good use for electric tech, because so much that an excavator does theoretically uses zero energy.

Eg. moving a pile of soil from one place to another. Picking up the soil uses energy, but when you put the bucketload down again you recoup all the energy.

Gasoline engines don't recoup the energy, and it just becomes heat in the hydraulic fluid - so much heat that excavators need cooling systems to keep the fluid cool.
Visual language models are quite good at converting images to LaTeX or any other kind of representation these days. Here is a demo where you can upload a screenshot of a page with an equation and ask the neural network to e.g. "Transcribe this equation as LaTeX.":

https://huggingface.co/spaces/Qwen/Qwen2-VL

You can also run a smaller model locally if you have enough VRAM, for example Qwen2.5-VL-7B-Instruct:

https://github.com/QwenLM/Qwen2.5-VL?tab=readme-ov-file#usin...

Also works reasonably well with hand-written equations.

For searching through similar equations, you can probably embed each as a high-dimensional vector and then search for the closed vector. Here is a ranking of text embedding networks:

https://huggingface.co/spaces/mteb/leaderboard

Or if you want something more deterministic, parse the LaTeX equation to create an abstract syntax tree for which there are plenty of similarity measures.
I hope you still feel like you're winning when more wars start.
Ok? So we have tons of US citizens who want to be in high-skilled high-paying professions, bring more people into training programs and staff them? I assume people working high skilled high wage professions spend more on things like housing and food and other things -> economy boost. Where is the hangup?
I am using iCloud Shared Photo Library. It automatically shares everything with up to five people. It is a bit confusing because now you have Personal and Shared Libraries. I have not grok it all yet.

https://support.apple.com/en-us/118229

I also found downloading from Google Photos super confusing. I ended up buying this tool which downloads and fixes the metadata.

https://metadatafixer.com/how-it-works
Even a badly operated on-prem system has the advantage that if someone breaks in, they are taking a risk of getting caught. Whereas with Azure the TLAs could just hoover up everything there without high risk of customers finding out (assuming they can gag MS). Given the reporting about NSA's "collect everything" modus operandi this doesn't seem very far fetched.
For this kind of project, you really need a "View live demo" link that shows us an example of the results. Take the tool output and paste it into /demo.

OR at least take a screenshot of it and place it above the fold on the homepage.

People are seldom likely to do work unless they think it will be worth their time.
Check out the sea change hydrogen ferry in San Francisco. Green all the way up...
I tested some cases in Misguided Attention[0]: while many cases now pass, others fail all the same. Given the amount of contamination and the difficulty of finding sufficiently original problems of this nature, I defer to a 20:80 ratio of genuine improvement to recall.

[0] https://github.com/cpldcpu/MisguidedAttention
They won't cut traffic for the same reason they are understaffed: money. Raise pay until you have enough staff.

It's not always that simple, but sometimes it is. Not everyone could do it, but a lot of people could. You just have to pay them to attract them from more lucrative jobs (which includes training them to do it).

Instead they'll pay as little as they can, and occasionally pay to replace an aircraft.
Dunno this might even be realistic, astronauts have to be "in shape" not as in strong or muscular but baseline healthy:

https://www.justjared.com/photo-gallery/4473115/matt-damon-s...
Seems like a job for computers, or at least heavily aided by computers.

Though this crash was probably just the helicopter flying the wrong altitude.
> This is hilariously common

Falling debris from space is common, it seems (NASA says "1 piece per day" on average), but they tend to burn up upon re-entry. Falling debris causing any sort of damage seems to be relatively uncommon, unless I've gotten a lot worse at searching for information.

What numbers are you looking at that makes it seem like it's "hilariously common"?
Focusing on the state misses the point. The state is a relatively modern abstraction for society. Society, state-based or not, has always been dominated by class of elites and governed primarily in their interests.

However, for all of human history those elites have needed workers, and in complex societies, they need LOADS of them. The elites have always needed to ensure that the working people are sufficiently fit, healthy, motivated and skilled to do the work required.

For the last 500 years or so the elites have also found it convenient to maintain a mass of relatively affluent people with a reasonable amount of leisure time, who will purchase the products that make them rich.

Thus the typical person in the world today finds themself able to exchange their labour for basic necessities and increasingly, consumer goods. Most people receive some form of protection from bodily violence and for their property - whether from the state or from some other arrangement with the elite class. Most people also have access to some form of education and healthcare (although of course the level of provision varies massively). Most people have some amount of leisure time, some level of autonomy over what they do with that time, and an increasing range of options for leisure activities.

All of this happens because it is convenient for elites - it gets them what they want.

AI presents us with a possible future where a small group of elites could generate infinite wealth, and would have absolutely no need of the working and middle classes. The benefits we currently enjoy (however meagre) would dry up.

At best, we'd be ignored and left to scratch a subsistence living out of whatever is left of our natural environment by that point.

At worst, one could imagine a scenario where AI-wielding elites compete against each other, and need access to as many natural resources as possible to stay competitive. Then you'd suspect we wouldn't just be ignored, our very existence would be an opportunity cost for the elite class.

e.g. It's 2056 and Musk needs every square meter of solar panels he can get to ensure his AI army triumphs over Zuckerberg's. The plot of land where you've been quietly growing your potatoes and trying to stop your children dying of cholera doesn't get much sun, but it gets a bit - and that's more than enough for him to have you murdered (or, if he's feeling merciful, evicted to die of starvation).
Switching tabs doesn't seem to overwrite the vertical lines, I have pink and green pipes drawn on the 2nd and 3rd tab that were supposed to only be on the first one.
Revisiting Random Number Generation
This is as applicable as ever in the current times, thanks for sharing.
Or, the future might be everyone reads summaries, because there are only AI Managers and no human managers, where humans hold occasional meetings and have conversations which are listed to by AI, and we take our lead from the AI summaries. The AI maintains business focus through it monitoring the business performance, updating each summary as needed to maintain performance.

It's a worthwhile experiment for a business school, IMO, automating a layer of bureaucracy.
You’d think that with all the articles online repeatedly teaching people to disable this crap, the companies would have taken a hint. Save face (and money) by not shoving this down everyone’s throats.

Just make a prompt, your OS is full of them already and you do it for other features. When installing the new version, show a notification or whatever with:

Apple Intelligence is here!

[Try It Now] [Maybe Later]

Yes, yes, I know many of us would rather have a [Fuck You, Get This Shit out of My Face and Never Ask Me Again] button, but I’m trying to be realistic here about something they could plausibly implement.
Wild that it can do that, but also clearly a worse output. The original has a URL, section, page, and table listed. The AI version instead cites the author. Needing to notice and fix unhelpful tweaks is one of the burdens of LLMs.