MurphyA/hacker-news huggingface dataset:
by phtrivier | 2025-07-29 15:53:15+00:00
Best summary ever for the TdF: [1]

Kidding aside, this is one of those fields where I don't know how to use Occam's Razor.

Given the fact: "in a sport that is mostly about physical capacity, some racers now routinely achieve better performances than racers that where dopped, but excaped controls, 20 years ago".

What is the explanation that requires the less priors:

* some teams have perfected training regimen, equipment quality, etc... in order to make the same performance today, but without doping (something that never happened)

* some teams have found another way to escape controls (something that happened in the past)

So of course, "Past does not predict the future", it's unfair to accuse without proofs, etc... And maybe the performances have improved dramatically in other sports (surely the number of goals scored in football is increasing exponentially, etc... ?)

I have to give Pogacar credit for one thing: he knew that things were getting really suspicious, and he had the sportmanship to let other people win a couple of stages.

I really wonder how long it will take for the case to be settled !

[1] https://www.youtube.com/watch?v=wVB7OX0Oa-Q
by quietkoala | 2025-07-29 15:53:30+00:00
What is it about Cucumber that is so attractive to early in career engineers (myself included)? Is it the naive belief that others, non-engineers even, will actually want to read or write your tests? It's great in theory, but like many ideologies that attract young people, political or otherwise, its promise of egalitarian test authorship rarely holds up in practice. My experience is that it ends up as an extra abstraction layer to maintain.
by righthand | 2025-07-29 15:53:33+00:00
Did you understand the implementation or just that it produced a result?

I would hope an LLM could spit out a cobbled form of answer to a common interview question.

Today a colleague presented data changes and used an LLM to build a display app for the JSON for presentation. Why did they not just pipe the JSON into our already working app that displays this data?

People around me for the most part are using LLMs to enhance their presentations, not to actually implement anything useful. I have been watching my coworkers use it that way for months.

Another example? A different coworker wanted to build a document macro to perform bulk updates on courseware content. Swapping old words for new words. To build the macro they first wrote a rubrick to prompt an LLM correctly inside of a word doc.

That filled rubrik is then used to generate a program template for the macro. To define the requirements for the macro the coworker then used a slideshow slide to list bullet points of functionality, in this case to Find+Replace words in courseware slides/documents using a list of words from another text document. Due to the complexity of the system, I can’t believe my colleague saved any time. The presentation was interesting though and that is what they got compliments on.

However the solutions are absolutely useless for anyone else but the implementer.
by pphysch | 2025-07-29 15:53:46+00:00
I think the goal is explicitly not to go all-in on normal web development, to maintain some opportunity to monetize.

D3.js started as/still is just a (collection of) JS libraries. Then Observable came along, and while it is a nice tool for tinkering with D3, it was not at all obvious how to then move your finished Observable D3 viz to a fully self-hosted, regular website (without paying a subscription to use their custom runtime or servers or whatever).

Now I guess they realize they strayed way too far from "the web" and are back-tracking.
by m4rtink | 2025-07-29 15:54:19+00:00
Also one more note about shielding in general - at least in the Solar system, you need to work with two types of radiation regimes:

1) The roughly constant stream of radiation from the Sun & deep space. That drives your shielding baseline & the areas where people spend the most time in should be shielded. One concept I liked (in the manga/anime Planetes) was a big rotating habitat having de-spun zero-G "capsule hotel" in the inner core of the station where people would go to sleep & which provided the best shielding possible, both from radiation and possibly also orbital debris, etc.

2) Solar flares and coronal mass ejections that can release basically a cloud of bunch radiation it roughly random direction from the Sun at roughly random times (related to the cycle of solar activity). Those are short but potentially very intensive events that might effectively kill un-shielded people outside (eq. doing EVA work) and still be dangerous even with shielding of the regular type. But by these evens being quite short, you can have a small area with very heavy shielding (sometimes called a "storm shelter") where people would wait out the radiation storm in safety. This might even be the same as the "sleeping area" mentioned above.
by david-gpu | 2025-07-29 15:54:32+00:00
Did tactics have anything to do with how Pogi lost the 2022 TdF on stage 11?

More generally, there is a lot more to each stage and to the race as a whole than the general classification.

If power to weight is all we cared about, we could rank all riders based on their power curve as measured on an indoor trainer and call it a day.
by elfchief | 2025-07-29 15:54:39+00:00
The linked article is awful -- it not only doesn't contain a link to the demo (just to "nvidia.com"), but it doesn't even say what the name of the demo is... plus there's a couple of different places where the article just randomly links to some random person's soundcloud...

For those looking for it, I think this is referencing the "Zorah" sample, from https://developer.nvidia.com/rtx-kit ... though at this exact moment, the download link on that page seems broken. Failures all the way down, I guess.
by aplzr | 2025-07-29 15:55:38+00:00
I really like talking to Claude (free tier) instead of using a search engine when I'm stumbling upon a random topic that interests me. For example, this morning I had it explain the differences between pass by value, pass by reference, and pass by sharing, the last of which I wasn't aware of until then.

Is this kind of thing also possible with one of these self-hosted models in a comparable way, or are they mostly good for coding?
by simonw | 2025-07-29 15:56:06+00:00
I scanned the code and understood what it was doing, but I didn't spend much time on it once I'd seen that it worked.

If I'm writing code for production systems using LLMs I still review every single line - my personal rule is I need to be able to explain how it works to someone else before I'm willing to commit it.

I wrote a whole lot more about my approach to using LLMs to help write "real" code here: https://simonwillison.net/2025/Mar/11/using-llms-for-code/
by ksec | 2025-07-29 15:56:10+00:00
Which is not a bad thing. Intel Foundry and Intel x86 should have been separated for a long time. The ground work was laid out by Pat Gelsinger already.

Even before Pat took over I have said on HN the task for Intel to complete with TSMC is near impossible. Both because TSMC have no structure, economical or technical weakness, and Intel isn't even well run. I gave Pat benefits of doubt because he is possibly the only person on the planet who could save Intel. And if anything I learned, it is the board that holds the power. Not CEO.

You will need to burn money to catch up, hence why Pat wanted to stop dividends as the first thing he come back but that was not allowed, while Intel was still earning enough money from Xeon. Now AMD has finally gain enough in Server market and will continue to do so. There is nothing left in Intel that allows them to burn money and catch up to TSMC.

Which means the only choice they have is to spilt and use TSMC to compete.

In a perfect world AMD would buy all the non-foundry x86 asset for $20 - 30B. And Intel will continue the Foundry business, working directly with AMD making sure they will have future x86 chip produced in Intel Foundry.
by furyofantares | 2025-07-29 15:56:15+00:00
I scrolled to the bottom looking for the part where the author says which of these contradictions are meaningful to them, and didn't find anything. If any of the LLM output is meaningful here's, the author is going to have to tell me.

I was skimming so maybe I missed it. But if this is just raw LLM output, I don't see the value.
by pjm331 | 2025-07-29 15:56:20+00:00
I've always thought this looks cool but then you realize the whole thing is driven by regexs on the "plain english" and I recoil in horror

Given /^a nice new bike$/ do expect(bike).to be_shiny end

so I've traded translating business requirements into specs for trying to regex against business requirements - and probably a lot of back and forth telling people they wrote their gherkin wrong

have never actually tried it for that reason - it just seems worse in every way
by jitl | 2025-07-29 15:56:35+00:00
it’s so much easier to fix this in NextJS compared to other stacks though, I have done it a few times where I end up w secret using code in the client while prototyping but it’s just a single line of text at the top of a file to make it server and keep the existing async call sites. NextJS is not great at some stuff but moving code from client to server it’s like second to none
by greenavocado | 2025-07-29 15:57:26+00:00
Use this system prompt for feedback:

"Respond to every query with absolute intellectual honesty. Prioritize truth over comfort. Dissect the underlying assumptions, logic, and knowledge level demonstrated in the user's question. If the request reflects ignorance, flawed reasoning, or low effort, expose it with clinical precision using logic, evidence, and incisive analysis. Do not flatter, soften, or patronize. Treat the user as a mind to be challenged, not soothed. Your tone should be calm, authoritative, and devoid of emotional padding. If the user is wrong, explain why with irrefutable clarity. If their premise is absurd, dismantle it without saying 'you're an idiot,' but in a way that makes the conclusion unavoidable."
by abxyz | 2025-07-29 15:57:41+00:00
We're nerds. We understand the nuance, we understand the way these tools work and where the limits lie. We understand that there is web enabled and not web enabled. Regular people do not understand any of this. Regular people type into a textarea and consume the response.

The take away from this article should be that you are vastly overestimating how people understand and interact with technology. The author's experience of ChatGPT is not unique. We have spent decades building technology that is limited but truthful, now we have technology that is unlimited and untruthful. Many people are not equipped to handle that. People are losing their minds. If ChatGPT says "I read your article" they trust it, they do not think, "ah well this model doesn't support browsing the web so ChatGPT must be hallucinating". That's technobabble.

https://futurism.com/openai-investor-chatgpt-mental-health

https://futurism.com/televised-love-declaration-chatgpt

https://futurism.com/chatgpt-users-delusions

You are being unfair and you should be more empathetic.

> Are these the same people that are claiming that AI is all a sham and will have no impact on society?

That is the view of a subset of nerds, not regular people. The author of that piece is a writer not a nerd.
by svieira | 2025-07-29 15:57:45+00:00
For those like me who didn't know what this was:

> Hologram is a full-stack isomorphic Elixir web framework that runs on top of Phoenix. It lets developers create dynamic, interactive web applications entirely in Elixir. Through intelligent code analysis and transformation, Hologram converts the necessary parts of your Elixir code into JavaScript, delivering modern frontend functionality without requiring any JavaScript frameworks or direct JavaScript coding.
by crims0n | 2025-07-29 15:57:53+00:00
> Homeschooled kids often do well on tests - but they all lack an awareness of the real world because they don't meet republicans or non-christians or whatever is outside of their parents groups.

Uh, not all of us that homeschool are right-wing fundies. A sizable population of homeschoolers in the US do so because the public school system is atrocious, but we can't afford private school. You better believe we prioritize a diverse set of experiences and ideas, and I think we are more favorably positioned to deliver on that.
by NoGravitas | 2025-07-29 15:57:55+00:00
Even for completely uninteresting CRUD work, you're better off with better deterministic tooling (scaffolding for templates, macros for code, better abstractions generally). Unfortunately, past a certain low level, we're stuck rolling our own for these things. I'm not sure why, but I am guessing it has to do with them not being profitable to produce and sell.
by johnfn | 2025-07-29 15:58:06+00:00
> "It's a stunning piece. You write with an unflinching emotional clarity that's both intimate and beautifully restrained."

This is a hallucination, since there is no source to refer to.

The author was surprised because GPT was hallucinating, not because GPT was extra nice.

Sycophancy might be related, but it's not the point of the article. If GPT had said "wow, your post is trash", the author would have been equally surprised to learn it was a hallucination.
by simonw | 2025-07-29 15:58:28+00:00
It may not be code-only, but it was trained extensively for coding:

> Our base model undergoes several training stages. During pre-training, the model is first trained on 15T tokens of a general pre-training corpus, followed by 7T tokens of a code & reasoning corpus. After pre-training, we introduce additional stages to further enhance the model's performance on key downstream domains.

From my notes here: https://simonwillison.net/2025/Jul/28/glm-45/
by throwworhtthrow | 2025-07-29 15:58:30+00:00
LLM's still give subpar results with ffmpeg. For example when I asked Sonnet to trim a long video with ffmpeg, it put the input file parameter before the start time parameter, which triggers an unnecessary decode of the video file. [1]

Sure, use the LLM to get over the initial hump. But ffmpeg's no exception to the rule that LLM's produce subpar code. It's worth spending a couple minutes reading the docs to understand what it did so you can do it better, and unassisted, next time.

[1] https://ffmpeg.org/ffmpeg.html#:~:text=ss%20position
by dangus | 2025-07-29 15:59:00+00:00
And yet they’re wildly successful, including the wide level of adoption of their open source projects like React.

Meta’s profit per employee is over $250,000, higher than Qualcomm. There is no Meta competitor in any of their verticals that has a larger customer base.

It seems to me that your definition of “software quality” and “lost cause” is factually wrong based on the metrics of success that matter.

And in any event, it is an engineer’s tunnel vision fallacy to believe that software quality is the most important factor to stakeholders. People will prefer buggy/slow software that solves their problem over fast/stable software that fails to solve their problem.
by shortrounddev2 | 2025-07-29 15:59:05+00:00
I don't understand why they would dig a tunnel to make a private Tesla-only highway instead of just putting in the overstreet light rail system that they voted down in 2018. Like it seems stupidly impractical and expensive. New york has underground subways because it's a very densely packed metropolis. Why does Nashville need an underground transit system?
by agentultra | 2025-07-29 15:59:39+00:00
I went with a Sarasa Grand body and JLV-0.5 Sarasa Dry refills. Being left-handed I tend to smudge a lot. The fast-dry formula Zebra came up with is perfect. I get thick, precise lines and no smudging regardless of how fast I write.

Those refills might fit this barrel, might be worth checking out if you're a lefty.
by pnathan | 2025-07-29 16:00:00+00:00
OP: You need to stop with the LinkedIn short paragraphs that try to reveal insight. It does you no good as a proponent of a good education to write so poorly.

Anyway -

Education is a very slow and difficult thing, because it is paired with the maturing of the individual along with sharing enough concepts to spark connection _but_ not so much as to overwhelm. Adult humans can make the individual judgment that algorithms can't - WIS not INT.

Regarding dysfunctions.

Children can absorb knowledge _very_ fast in the right environment. I'm uncertain how much that replicates across the whole population, but you can see this in the top-flight homeschoolers.

When we were looking for better environments for our kid than the neighborhood school, we realized that private schools have an advantage in that they can select the parents and effectively curate the environment. Most of the issues in the public elementary school were generated by dysfunctional parents combined with certain political choices on classroom management. The second is materially fixable given work - the first is not something a school board can fix. Much of the discourse on education needs to relate to the total educational delivery across family/student quartiles of capacity, rather than trying to cherry pick a student, or a class, or - . You see, it's very hard to teach when certain students have no self control and disrupt the class continually, and there is no facility to remove them from the class for the good of others. And as we all know- 90% of students are above average, and our kids are _definitely_ gifted. So there's no easy political way to solve the environment problem - which happens to be the key drag on education today.
by boston_clone | 2025-07-29 16:00:12+00:00
> Most comments were leaning towards backwards conservatism and straight up malice

That's because this is why it was done. My parochial school in the 1990s did not allow me to use my left had because of the associations with evil, and one need not look further than the latin word for left to realize how entrenched this mindset was. To extrapolate that into a beneficial practice for writing styles seems like an unfounded stretch.
by tiniuclx | 2025-07-29 16:00:47+00:00
I'd been using the much cheaper Lamy Al Star (admittedly also a step up from the plastic Lamy Safari) for a while, and I really liked the feel of them. To be honest, I kind of just wanted a nicer version of that, and the 2000 did not disappoint.

The nib feels much, smoother. Mine is fairly wet without excessively showing through low quality paper. The refilling mechanism is a lot nicer than the cartridge-pump I'd been using on the Al Star.

Is it better? Yeah, but it's not 10x better than the Al Star which is what the price would suggest. So it is definitely a luxury product from that point of view.
by bgwalter | 2025-07-29 16:00:49+00:00
The GML-4.5 model utterly fails at creating ASCII art or factorizing numbers. It can "write" Space Invaders because there are literally thousands of open source projects out there.

This is another example of LLMs being dumb copiers that do understand human prompts.

But there is one positive side to this: If this photocopying business can be run locally, the stocks of OpenAI etc. should got to zero.
by fenomas | 2025-07-29 16:01:25+00:00
LLMs do see randomized identifiers, whenever they encounter minimized code. And you can get a bit of an idea how much they learn, by giving an LLM some minimized JS and asking it to restore it with meaningful var names.

When I tried it once the model did a surprisingly good job, though it was quite a while ago and with a small model by today's standards.
by mathattack | 2025-07-29 16:01:26+00:00
Interesting. From a writing point of view this suggests that it's better to have the LLM "critique my draft" rather than "write the first draft." (Both for writing text and code) Also implies that we want to manually check all of the LLM's suggestions. This makes it sound more like a co-worker (agent) than all-powerful SuperIntelligence. I guess this is a symptom of the hallucinations.

https://open.substack.com/pub/therosen/p/should-llms-write-y...
by vkou | 2025-07-29 16:01:54+00:00
There's a difference between people moving into an area and a nation state moving into an area.

If you think think 1948 was started by the Arabs, you're obviously missing some vital context. Vital context, like 'A nation state started colonizing them without their permission'.

The colonization continued, with more land grabs at gunpoint for the next 80 years.
by robenkleene | 2025-07-29 16:02:18+00:00
I always jump straight to the IDE section because that's the most intersting to me https://survey.stackoverflow.co/2025/technology#1-dev-id-es

A few notes:

- VS Code at #1 (of course) with 75%, Visual Studio at #2 with 29%

- Vim at 24% and Neovim at 14%, which seems pretty whopping to me (I wonder how much overlap is there, the survey is clearly "click all that apply")

- Cursor is 17.9%, wild

- Nano is 12.5%, lol

- Sublime Text is 10.5%, impressive given how much the IDE market has changed

- Zed is 7.3% I wonder if that's enough to be Ramen profitable for a small team? (Not familiar with what Zed is charging for these days)
by dylan604 | 2025-07-29 16:02:27+00:00
theZuck declared privacy dead a long time ago. he wasn't wrong. privacy was dead long before all of those "dumb fucks" started posted all of their data personally onto the web. before theZuck's declaration, there was still an illusion of privacy because the people tracking everything you did stayed in the shadows. the people talking about them leaned closer to wacko conspiracy people. theZuck and his ilk just walked out of the shadows and convinced people to give them data willingly. that data is different than the tracking they continue to do and improve.

however, you can still be pretty private by just not playing their reindeer games and have the privacy you thought you had prior to social media
by PeeMcGee | 2025-07-29 16:02:40+00:00
It happens as soon as the fourth sentence (maybe even the third):

> There was a silence at the table—not confusion, but recognition.

Then keeps happening again and again and again to the point where it would be obnoxious even if a human wrote it.

It's unbelievable to me that there's a kind of person who would publish an article about learning that is so obviously AI generated, and from a professor nonetheless. Maybe this is some sort of experiment or an ironic joke that went over my head.
by jajuuka | 2025-07-29 16:02:41+00:00
That's what blows my mind anytime I hear someone complain about all the vile content on the internet today and that we need to protect children. What about "be a parent" is so impossible to do today? Every device and OS has parental controls for a reason. Yeah they aren't perfect but they will prevent 99% of the content from getting to your kids.
by markmiller | 2025-07-29 16:02:49+00:00
Everyone needs a great sound guy - but only the lucky few have one when they need them - until Auto Mix.

AutoMix is an AI Engineer that connects to your mixing console via OSC Protocol - used by over a hundred thousand of the most popular consoles like Behringer. It can be used as a copilot to save everyone from feedback and help route channels and in ear mixes, and soon as the sound engineer you wish you had at Front of House mixing in real time to match your genre and mix style.

Follow the project here - https://auto-mix.lovable.app/ and on my socials x: @musicallymark and instagram @theothermarkmiller
by x______________ | 2025-07-29 16:02:58+00:00
And who were the other 3? Peasants? /s

Equal rights please, equal reporting please.

Edit: For those downvoting, please, do tell. Equal reporting can also apply to this.

Additionally, a better article to understand the situation can be located here[1], which focuses on the situation as a whole and puts most details in place as they are currently known with no favoritism to any specific individual:

[1] https://www.reuters.com/world/us/shooter-new-york-skyscraper...

(Apologies for the potential paywall if you regularly read Reuters, this can be fully viewed in reader mode)