MurphyA/hacker-news huggingface dataset:
by jandrewrogers | 2025-12-18 01:07:26+00:00
It tends to break composability.

The behavior of the library logging can be incompatible with the architectural requirements of the application in dimensions that are independent of the library functionality. It requires the user to understand the details of the library's logging implementation. Even if documented, design choices for the logging will automatically disqualify the library for some applications and use cases.

Is writing the log a blocking call? Does it allocate? Synchronous or async? What is the impact on tail latencies? How does it interact with concurrency? Etc.
by clanky | 2025-12-18 01:07:35+00:00
I have to say I appreciate Maduro calling the U.S. empire's bluff at every turn. Whether it's the corrupt Nobel Peace Prize, trying to bribe his pilot to betray him, or now this, it's all just making it clear to anyone with eyes remotely open to see that U.S. foreign policy operates on shameless pretense and dishonesty.
by twosdai | 2025-12-18 01:07:43+00:00
This is a wrong take. People learn plenty while using AI. it's how you use it that matters. Same issue happened years ago if you just copied stack overflow without understanding what you were doing.

Its no different now, just the level of effort required to get the code copy is lower.

Whenever I use AI I sit and read and understand every line before pushing. Its not hard. I learn more.
by al_borland | 2025-12-18 01:07:59+00:00
I work at a place with lots of rules around what can and can’t be used. When someone new start we end up spending a lot of time policing to make sure they aren’t using stuff they should be.

A very basic example were the interns who constantly tried to use Google Docs for everything, their personal accounts no less. I had to stop them and point them back to MS Office at least a dozen times.

In other situations, people will try and use free tools that don’t scale well, because that’s what they used in college or as a hobby. It can take a lot of work to point them to the enterprise solution that is already approved and integrated with everything. A basic example of this would be someone using Ansible from their laptop when we have Ansible Automation Platform, which is better optimized for running jobs around the globe and automatically logs to Splunk to create an audit trail.
by CuriousRose | 2025-12-18 01:08:11+00:00
- Very irritating to setup on mobile clients (iOS profiles are not a good solution)

- Usually hosted on shared VPSs where IP reputation is decimated (wonder how this will be affected by pure IPv6 hosts)

- Patching is often manual and forgotten about (n = 1)

- Backups are often an afterthought
by coldtea | 2025-12-18 01:08:26+00:00
Or more likely Google couldn't give a rat's arse whether those AI summaries are good or not (except to the degree that people don't flee it), and what it cares is that they keep users with Google itself, instead of clicking of to other sources.

After all it's the same search engine team that didn't care about its search results - it's main draw - activey going shit for over a decade.
by zamadatix | 2025-12-18 01:09:42+00:00
Some things need to be opt in but most things don't. What makes sense to have which way is not as simple as saying "if people wanted it, they'd configure it that way". Imagine how many problems having to opt in to keeping recent files or whatever on each program you use on all of your devices would be. Apart from the annoyance of setting it up, the annoyance of forgetting to set that (among a dozen other opt-ins) on one of your dozens of programs and finding out only when you can't remember the name of the document you had open yesterday. Most people would "opt in" to use a provider which has what most consider "sane" defaults instead.

But there are obviously MANY things we prefer to keep opt-in. E.g. sharing my recents data with 3rd party advertises. No need to throw the baby out with the bath water and make every service awful by default just to have a universal rule to quote though.
by golly_ned | 2025-12-18 01:09:49+00:00
I haven't seen things work like this in practice, where heavy AI users end up being able to generating a solution, then later grasp it and learn from it, with any kind of effectiveness or deep understanding.

It's like reading the solution to a math proof instead of proving it yourself. Or writing a summary of a book compared to reading one. The effort towards seeing the design space and choosing a particular solution doesn't exist; you only see the result, not the other ways it could've been. You don't get a feedback loop to learn from either, since that'll be AI generated too.

It's true there's nothing stopping someone from going back and trying to solve it themselves to get the same kind of learning, but learning the bugfix (or whatever change) by studying it once in place just isn't the same.

And things don't work like that in practice any more than things like "we'll add tests later" end up being followed through with with any regularity. If you fix a bug, the next thing for you to do is to fix another bug, or build another feature, write another doc, etc., not dwell on work that was already 'done'.
by ArkhamMirror | 2025-12-18 01:10:58+00:00
Good question. TL;DR is you won't find those here.

ACH is a different sort of hypotheses testing tool. This tool does not do formal "Statistical Hypothesis Testing" using the formal statistical methods that would be used for the rigorous testing required in the scientific world. There is a null hypothesis found in ACH, but that's about the only real crossover. So, you won't be able to find any p-values, t-tests, chi squares or any statistical significance at all in this.

My Analysis of Competing Hypotheses tool uses the methodology created by Richard Heur - it's an intelligence analysis methodology designed to be used by analysts who need a way to avoid their own biases as much as possible when investigating a question. There's no p-value calcs, no actual statistical significance, or any real math at all (the only math involves adding up rows of values from -2 to 2 basically, and then putting them in order).
by heavyset_go | 2025-12-18 01:11:16+00:00
GLP-1 drugs are such money makers that it's worth advertising them so that you 1) know they exist 2) might recommend them 3) might take them yourself at some point.

A month's supply of Wegovy/etc costs nearly $2k.

Same thing with the monoclonal antibody drugs, you can be looking at tens of thousands of dollars per month for a single patient.

You also see this with luxury brands, that advertise to segments that cannot afford their products, in order to build image of luxury and prestige.

That said, I asked my friends/family if they had <not embarrassing or too intrusive> condition, and more often than not, someone in the household had it.
by jp0d | 2025-12-18 01:11:25+00:00
The site/visualisations look great. But having used AI tools in my programming, I still haven't been able to justify the cost (to the planet too) vs benefit. I've noticed that it's great for pattern recognition and if I've missed something small or missed a variable name here and there, then it's quite good at finding those problems. However, if I ask it to produce a complete piece of work, I've never been able to get something without any bugs. Forget about getting it to design data pipelines with customer privacy and data security in mind!

For reference I work in finance/econometrics and the code is often about numerical analysis written in SQL and python. More often than not I end up wasting a lot of time fixing issues with AI generated code. None of these nuances ever gets captured by metrics like these and it makes me question people (mostly sales and top execs) that push for "AI" at work.
by autoexec | 2025-12-18 01:12:37+00:00
> You can only tell it to do what you know how to express.

Unfortunately that doesn't prevent much of anything since our language is extremely expressive and AI will just make up anything it needs to in order to fill in the blanks. When it comes to things like oppressing a group of people, or maximizing profits by dynamically setting your prices using a guess of each individual's income you can accomplish what you set out to do even with huge margins or error. We already know that people will use this technology who simply will not care if they price out or imprison a few people who shouldn't have been so long as massive numbers of their enemies are locked up or their profits continue to climb.
by jimt1234 | 2025-12-18 01:13:33+00:00
I get these spam emails all the time. Some "hacker" has my Pornhub history. They even have video (they "hacked" my laptop camera) of me, uh, enjoying myself. They're gonna leak all of it if I don't send them Bitcoin. I think it's hilarious because I'll provide that data to anyone who asks - no need for "hacking". But I'm 100% confident no one wants that data. LOL
by halayli | 2025-12-18 01:13:34+00:00
I think parent comment was pointing to lack of establishing a causation link. The finding in their abstract is extrapolated by statistical inference. For example smokers tend to drink more etc. The paper does take such factors into account. Personally I wouldn't jump to such a strong conclusion from statistical inference because it closes the door on other factors that might be even stronger when combined together. The paper reflects motivated reasoning more than a discovery outcome. That said, smoking is of course a major health risk, I am just pointing at the research approach.
by oska | 2025-12-18 01:13:50+00:00
In my opinion, one of the things that most reveals a person's biases and worldview is which tech oligarchs they revere and which they loathe

To reveal my own bias / worldview, I loathe and detest Bill Gates in nearly every way and have done so for over three decades. I think he has had a massively negative impact on humanity, mainly by making the computer industry so shitty for 4+ decades but in other more controversial areas as well.

With Elon Musk, while perceiving a number of big faults in the man, I also acknowledge that he has helped advance some very beneficial technologies (like electric vehicles and battery storage). So I have a mixed opinion on him, while with Gates, he is almost all evil and has had a massive negative impact on the planet.
by neilv | 2025-12-18 01:14:07+00:00
Like previously happened with video store rental records?

https://en.wikipedia.org/wiki/Bork_tapes

> The subsequent leakage and coverage of the tapes resulted in Congress passing the Video Privacy Protection Act (VPPA), which forbids the sharing of video tape rental information, amidst a bipartisan consensus on intellectual privacy.[8][9][10] Proponents of the VPPA, including Senator Patrick Leahy, contended that the leakage of Bork's tapes was an outrage.[11][12] The bill was passed in just over a year after the incident.[13][14]
by xbaicai | 2025-12-18 01:14:08+00:00
Look, we've all been there. You type a detailed prompt into an AI image generator, hit generate, and get back something that's... technically correct but completely misses the point. After burning through 20 credits and rephrasing your prompt for the tenth time, you give up and just pick whatever's closest.

That's the exact frustration that led us to build GPT Image 1.5.

The Real Problem Nobody's Talking About Most image generators treat your prompts like a bag of keywords. They see "modern office space with plants" and spit out generic stock photo vibes. But that's not how humans communicate. When a designer says they want something "modern," they're bringing context—maybe they mean Scandinavian minimalism, or maybe they're thinking sleek tech startup aesthetic.

We tackled this by building on GPT-5's language architecture. Not because it's trendy, but because it actually gets nuance. It understands the difference between "cozy coffee shop" and "hipster coffee shop" without you having to spell out every single detail.

Two Modes That Actually Make Sense Text-to-Image: Pretty straightforward. Describe what you want, get an image. Great for when you're starting from scratch or need to visualize an idea quickly.

Image Editing: This is where it gets interesting. Upload an image and tell the system what to change using plain English. "Make the background a beach" or "replace the laptop with a tablet." The fidelity controls let you decide how much of the original to keep—super useful when you need surgical edits versus complete overhauls.

Quality Tiers That Don't Feel Like a Scam We have three quality levels, and here's the honest truth about each:

Low: Fast and dirty. Use this when you're brainstorming or need to test five different concepts in two minutes.

Medium: The sweet spot for most work. Good enough for client presentations and internal reviews.

High: When it absolutely has to look polished. Final deliverables, print materials, stuff that matters.

No hidden "premium ultra max" tier. No artificial limitations to push you toward expensive plans. Just pick what fits your workflow.

Aspect Ratios Without the Headache Three options: square (1:1), portrait (2:3), and landscape (3:2). That's it. We're not trying to offer 47 different sizes because honestly, these three cover like 95% of real-world use cases. Instagram posts, blog headers, presentation slides—done.

Built for Teams Who Ship We're not positioning this as a toy for hobbyists. GPT Image 1.5 is for:

Design teams who need to mock up interfaces fast Marketing people cranking out campaign assets on deadline Product managers who need to show stakeholders what they're thinking Anyone who's tired of spending half their day wrestling with AI tools Commercial Rights Included Yeah, you can actually use these images in your products. Seems obvious, but you'd be surprised how many tools have weird licensing restrictions buried in the fine print.
by ArkhamMirror | 2025-12-18 01:15:54+00:00
I'm very glad to hear that!

Let me tell you this - This version of the toolkit is pretty monolithic and reflex is kind of a pain to work with for me. This version of the tool will be polished from here, but I hesitate to add more features to it since it already has like 35 pages of features.

I'm about to release another version of the tool that's focused on modularity, so you anyone can mix and match the features they want instead of having to take the whole thing or nothing. ACH is going to be the first addon thing added, followed by the rest of the features.
by kgeist | 2025-12-18 01:16:05+00:00
I think I understand what went wrong. I was confused by the instructions and ChatGPT's UI.

I asked the GitHub app to review my repository, and the app told me to click the GitHub icon and select the repository from the menu to grant it access. I did just that and then resent the existing message (which is to be expected from a user). After testing a bit more, from what I understand, the updated setting is applied only to new messages, not to existing ones. The instructions didn't mention that I needed to repeat my question as a separate message again.
by pooper | 2025-12-18 01:16:15+00:00
I appreciate the writer actually taking the time to explain why `george`. I have worked in some projects where some thing-a-majing or another is called `valhalla` or `thor` or something or another but there is no documentation as to why it is called that and the people who were responsible for naming them so have already ridden into the sunset. If I ever meet him, I "just want to talk" to this CTO who named US East region 2 as "eu2".
by rgoulter | 2025-12-18 01:18:25+00:00
> If everyone else is racing ahead, will the slowpokes be rewarded for their comprehension or punished for their poor metrics?

It's always possible to go slower (with diminishing benefits).

Or I think putting it in terms of benefits and risks/costs: I think it's fair to have "fast with shallow understanding" and "slower but deeper understanding" as different ends of some continuum.

I think what's preferable somewhat depends on context & attitude of "what's the cost of making a mistake?". If making a mistake is expensive, surely it's better to take an approach which has more comprehensive understanding. If mistakes are cheap, surely faster iteration time is better.

The impact of LLM tools? LLM tools increase the impact of both cases. It's quicker to build a comprehensive understanding by making use of LLM tools, similar to how stuff like autocompletion or high-level programming languages can speed up development.
by alsetmusic | 2025-12-18 01:18:36+00:00
I read the article. It isn't clear to me, but I'm guessing that the concern from faculty is the willingness of bad actors to harass people who teach anything they find objectionable (like the first grade teacher who was targeted for the "Everyone is welcome here" poster in her classroom). Is this the reason for pushback?

It's a damn shame that the internet has given terrible people the reach to make life even harder for educators, regardless of whether that's the specific concern here.
by stocksinsmocks | 2025-12-18 01:19:08+00:00
That the US cannot win a war is silly. The US could erase every population center within a few minutes. The core issue with US military policy is nobody can agree on what the goals are or what the appropriate level of force should be, and this is further confounded by an extremely large industry that benefits from no compete contracts and production practices that are optimized for low intensity conflict that lasts for decades. It’s sort of an elaborate jobs program, a lot like the TSA.
by neomantra | 2025-12-18 01:19:29+00:00
I enjoyed this read. Here’s some related thoughtwork I had last week, which looks at it via Calculus.

My son asked me:

“what’s the derivative of e^x”?

I replied “it is e^x?”, inquisitively as it had been a while. Once he confirmed, I started envisioning circles and vectors moving and said “oh, that is another reason why Euler’s formula is true”.

I’m just a nerd, not a mathematician, so I didn’t completely grok my flash of insight. But simple enough to ask an LLM, and Claude built the system of differential equations showing it:

https://claude.ai/share/33033109-a0fa-4c7b-822d-ca897c442cf2
by dotancohen | 2025-12-18 01:19:53+00:00
Reread your post with your evil PM hat on. You just said "I'm willing to pay for housing". That's all they hear.

Seriously, once you've crossed the threshold to pay for something, they think that they can somehow manipulate you (advertising) or convince you (features) to pay them for it too. And honestly, if they do it with features, I'm willing to be convinced.
by embedding-shape | 2025-12-18 01:20:00+00:00
You however, are. Hashimoto didn't leave until December 2023, Hashicorp announced the license change August 10, 2023. Also way back in September 2021 they started having staffing issues and stopped accepting community contributions, and also made the questionable choice of going public that same year.

You might be on to something with point B, hard to find good examples of developer tool companies that don't eventually turn sour. However, there are countless examples of successful and still very useful developer tools out there, maybe slapping a company on it and sell a "pro" version isn't the way to go?
by NobodyNada | 2025-12-18 01:21:02+00:00
Similar idea: https://monster6502.com/

But note:

> Does it run at the full speed of an original 6502 chip?

> No; it's relatively slow. The MOnSter 6502 runs at about 1/20th the speed of the original, thanks to the much larger capacitance of the design. The maximum reliable clock rate is around 50 kHz. The primary limit to the clock speed is the gate capacitance of the MOSFETs that we are using, which is much larger than the capacitance of the MOSFETs on an original 6502 die.

So if you built a SID using the same techniques and components, you couldn't run it in real-time without the pitch being way too low or without modifying the design. I'm not sure how hard this would be to avoid with better-spec'd components, but intuitively it makes sense for a much larger circuit to run much slower.
Show HN: Solance – Discover Music Through Friends
by Solance | 2025-12-18 01:21:25+00:00
We built Solance to mainly tackle one major problem that bothered us with music discovery of today - it's almost all done through algorithms. Sure they can be good at times but often they either completely miss the mark, or they avoid leaving your comfort zone and only show you songs super similar to the music you already listen to.

We wanted to bring a human feel back to music discovery, where you can once again enjoy the feeling of helping someone discover a new song or artist and for them to fall in love with the music!

Solance is an app designed to serve as a social platform where you can follow friends, family and colleagues, and even discover other similar music profiles, which can help broaden the range of music you're exposed to, while also being able to interact with others!

Although we are fairly new, we have a great base product for seeing the music other people are listening to, and allowing you to get a feel for them through preview, likes, comments and also saving them directly to your Spotify Liked Songs.

Music discovery through algorithms is on the decline as we can see that people want to return to that feeling of music being a shared and social experience, rather than the individual experience that all music streaming platforms are trying to create.

We would also LOVE to hear any thoughts and ideas for features we could implement to make the experience even better and create a platform that people will love! Any feedback or feature requests will be hugely appreciated!

With lots of love from the Solance team! <3
by autoexec | 2025-12-18 01:23:12+00:00
> one of the biggest reasons people become bearish on AI is that their measure of whether it's good/useful is that it needs to be absolutely perfect, rather than simply superior to human effort.

Meanwhile people bullish on AI don't care if it's perfect or even vastly inferior to human effort, they just want it to be less expensive/troublesome and easier to control than a human would be. Plenty of people would be fine knowing that AI fucks up regularly and ruins other people's lives in the process as long as in the end their profits go up or they can still get what they want out of it.
by panny | 2025-12-18 01:24:45+00:00
Isn't it weird how nobody here cared about Silicon Valley ageism until it hurt junior developers. No, I don't have schadenfreude. I just see a bunch of people, even in this very thread, now claiming juniors somehow understand AI tools better than seniors. Even though we've all had the same amount of time to use them.

At some point, admit you have a problem maybe? Maybe that will only happen after you spent 20 years staying on top of the latest tools and tech only to be told you're out of style because your hair started to grey.
by doug713705 | 2025-12-18 01:25:17+00:00
> (1) Won't an SSH key with a passphrase solve this? Whoever picks up the lost USB stick won't be able to guess a good passphrase.

Yes but in that case your passphrase is your only security. Keeping your private key private, gives you 2 security levels: you must have the key and know the passphrase.
by jmye | 2025-12-18 01:25:38+00:00
The reality? Based on what? What specific healthcare background do you have? What, specifically, do you know that you didn’t literally learn in the six seconds you spent on their website that you seem to think has made you an expert?

I’m so, so tired of people who think that building some shitty React apps, or whatever, means they’re experts in everything they’ve spent 12 seconds thinking about.