MurphyA/hacker-news huggingface dataset:
by db48x | 2026-01-29 21:51:59+00:00
> As I'm not an American can you refresh my memory as to what the US founders had to say and felt about Federal over reach into state territories?

Since you’re not an American, I’ll forgive you for forgetting that all matters of immigration are given to Congress, (that is, the Federal government) to regulate. This is not a matter of Federal overreach.

As for Hitler and Stalin, your comparisons are inapt. They were motivated by antisemitism, ie racism. While racism and antisemitism are, sadly, on the rise in the United States, that blight is concentrated in the universities and colleges where the faculty and students feel free to hold rallies where they chant about the destruction of all Jews in the world.

Say whatever else you want about Trump, but he is clearly motivated in opposition to this rise in racism. To imply otherwise is to admit your ignorance or political bias.
by linkage | 2026-01-29 21:52:12+00:00
That overstates it a bit. Yeah, it's mostly vibe-coded and the main dev has publicly said he has yet to review the reported vulnerabilities. I am aware that it can be easily pwned with prompt injection from its data sources.

I'm running it on my old Mac mini right now and I have not given it access to untrusted inputs like my email inbox. It only has access to my filesystem (synced to my laptop with Syncthing), local applications like Apple Reminders, and OpenRouter. I already find it useful for augmenting web searches with stuff that's in my Obsidian vault.
by schmichael | 2026-01-29 21:52:25+00:00
I recently upgraded from an iPhone 12 to an iPhone 16 because I couldn't figure out how to free enough storage on the 12. The battery was still more than good enough to go a full day.

I don't notice any difference other than now I have a pile of useless lightning cables (good riddance). Honestly kind of a relief as I liked the 12 just fine. Phones kind of seem like a Solved tech these days. About as exciting to upgrade them as upgrading my Brother Laser Printer.
by ChadNauseam | 2026-01-29 21:52:29+00:00
Not against AI, but I think you would find this post to be better if you didn't use AI to write it. They are not quite at the point yet where they generate something interesting enough for most people to want to read. Additionally, it goes somewhat counter to your stated goals. You (or chatgpt) said:

> People return when they feel recognised and when the night has a consistent identity.

But there's no identity to your post, because it doesn't feel like it was written by a person. Try writing it yourself! It’s boring, but it builds trust because it’s human, not algorithmic.

Anyway, congrats! I used to be a little bit into the DIY music scene in Chicago. Super cool to see other manifestations of it around the world
by tag2103 | 2026-01-29 21:52:48+00:00
This seems to be on par for this Iowa county which their ignorance sadly has painted a major target on their innocent citizens- related article:

"Dallas County Attorney Matt Schultz told KCCI: "I want to be clear that the decision to dismiss the criminal charges that resulted in this civil case against Dallas County was made by a previous County Attorney. I am putting the public on notice that if this situation arises again in the future, I will prosecute to the fullest extent of the law."

https://www.kcci.com/article/coalfire-contractors-settle-dal...
by ryanobjc | 2026-01-29 21:53:08+00:00
I've used chatgpt-shell, but I have since turned my LLM usage to gptel inside org-mode buffers. Every day I use org-roam-dailies-goto-today to make a new file and turn on gptel (the use of org-roam-dailies is 100% optional). Then I do my interactions with gptel in here, using top level bullets and setting topics to limit context.

I have 10 months of chats, and now I can analyze them. I even had claude code write me up a program do that: https://github.com/ryanobjc/dailies-analyzer - the use of gptel-mode allows me to know which parts of the file are LLM output and which I typed in, via a header in the file.

Keeping your own data as plain text has huge benefits. Having all my chats persistent is good. It's all private. I could even store these chats into a file.gpg and emacs will auto encrypt-decrypt it. Gptel and the LLM only gets the text straight out of emacs, and knows nothing about the encryption.

I found this better than the 'shell' type packages, since they don't always keep context, and are ultimately less flexible than a file as an interaction buffer. I described how I have this set up here: https://gist.github.com/ryanobjc/39a082563a39ba0ef9ceda40409...

All of this setup is 100% portable across every LLM backend gptel supports, which is basically all of them, including local models. With local models I could have a fully private and offline AI experience, which quality based on how much model I can run.
by warmedcookie | 2026-01-29 21:53:21+00:00
Let's presume / speculate for a moment that companies will only need 1 developer to do the job of 10 developers because of AI. That would also mean 10 developers can do the job of 100 developers.

A company that cuts developers to save money whose moat is not big enough may quickly find themselves out-competed by a company that sees this as an opportunity to overtake their competitor. They will have to hire more developers to keep their product / service competitive.

So whether you believe the hype or not, I don't think engineering jobs are in jeopardy long-run, just cyclically as they always have been. They "might" be in jeopardy for those who don't use AI, but even as it stands, there are a lot of niche things out there that AI completely bombs on.
by netsharc | 2026-01-29 21:53:43+00:00
From the same site: https://counterpointresearch.com/en/insights/global-smartpho...

20% of all phones sold are iPhones, and 80% are Android (or not 80%? Some small percentage is probably neither). Yeah, considering the iPhone has maybe 3-5 models, and across all the Android brands, maybe 500 models?

32% are other brands... interestingly Google belongs in said "other".
by dzink | 2026-01-29 21:53:52+00:00
The author attributes meaning for the giver and hopefully receiver to time spent by the giver. They argue less time spent for same utility lowers the meaning.

I see something very different:

1. The government post shared as an example of efficiency to utility increase has glaring errors: “journey-level developers”. You will never achieve any improvement on government code bases if the people leading the effort can’t pay attention to the most basic and broadcasted elements of the job. AI used by junior developers will only compound the massive complexity of government systems to the point where they are not fixable by seniors and they are not usable by humans.

2. The time spent doing something, meaningful or not, with care is a training for that person into attention to detail, which is absolutely critical to getting things right. People who lazily lean on generating more without attention to detail, don’t see the real point of the work - it’s not to add more stuff to less space (physical or mental) faster. It’s to make the existing space better and bigger by needing less in it. The rest is just mental and physical complexity overload. We are about to drawn in that overload like hoarders next to a dumpster.

3. If you ever live in a small home you may noticed that the joy of getting things (usually derived from dopamine-seeking behaviors like shopping or making, or shopping for ingredients so you can make things, or from getting toys for your kids or other people getting toys for your kids) will quickly overload any space in your living quarters. Your house becomes unbearably small and it becomes impossible to find things in piles or drawers filled with other things if nobody ever organizes them. We all have become dopamine adduces or the world has turned us into such and there are few if any humans willing and capable of organizing that world. So most people today will be paralyzed with a million choices that were never organized or pruned down by the owner or their predecessors. The overwhelming feeling would be to escape the dread of organization into more dopamine- generating behaviors. We need more of the “moms” who clean up our rooms after we’ve had fun with all the legos we can now generate. Or we will all be living in a dumpster before too long.
by dijit | 2026-01-29 21:53:58+00:00
I haven't enjoyed the iPhone since it could sit flat on a table. (5S)

I can't tell you that I use the phone differently than I did then, because I don't. The camera on a phone, for me, is a nice to have in the moment, I'm not a photographer and I have never felt the need to have such an incredible camera at my disposal (except that my eyes are failing so using the zoom to see the distance has been nice... twice).

I've been thinking of dumping the phone entirely, except I have my cards on there (yes, cards are smaller) and, crucially, my online banking.

I thought about going to a 5SE, which isn't supported but would still kinda work, but my own one is bricked somehow and Apple doesn't allow it to be restored via Finder anymore. :(

Bear in mind, I still have an iPhone 17 for work, and a 15 Pro for home...

I hate this duopoly.
by jjav | 2026-01-29 21:54:14+00:00
Not OP but I interpret that as they are focusing exclusively on what happened after the car saw the kid.

And I completely agree that from that instant forward, the car did everything correctly.

But if I was the accident investigator for this, I would be far more interested in what happened in the 30 seconds before the car saw the kid.

Was the kid visible earlier and then disappear behind an obstruction? Or did the kid arrive from the side and was never earlier visible? These are the more important questions.
by themafia | 2026-01-29 21:54:31+00:00
> heavily impaired

The level of impairment doesn't matter. They are impaired. There is no standard or testing which reveals the minimum level of impairment that one can safely do the job. So, you don't do it impaired, at any level, period.

> and has no bearing on their false arrest.

Two people that have obviously been drinking, hiding from police, and then making up fantastic sounding stories as to why they're in a tax payer owned facility outside of working hours. The police had good reason to effect an arrest so it can't be "false arrest."
by fpgaminer | 2026-01-29 21:55:12+00:00
I wish they would keep 4.1 around for a bit longer. One of the downsides of the current reasoning based training regimens is a significant decrease in creativity. And chat trained AIs were already quite "meh" at creative writing to begin with. 4.1 was the last of its breed.

So we'll have to wait until "creativity" is solved.

Side note: I've been wondering lately about a way to bring creativity back to these thinking models. For creative writing tasks you could add the original, pretrained model as a tool call. So the thinking model could ask for its completions and/or query it and get back N variations. The pretrained model's completions will be much more creative and wild, though often incoherent (think back to the GPT-3 days). The thinking model can then review these and use them to synthesize a coherent, useful result. Essentially giving us the best of both worlds. All the benefits of a thinking model, while still giving it access to "contained" creativity.
by seba_dos1 | 2026-01-29 21:56:19+00:00
It may not be that crazy in fact, unless it's prolonged. Don't take 30k/day for several months without supervision, but doing that for a single month is unlikely to harm you if you start from deficiency. Some people may need even more than that.

In any case, keep your blood levels in check. It's cheap and easy. There are even services you can order to have your blood sample taken at your home.
by dang | 2026-01-29 21:56:20+00:00
Could you please stop posting unsubstantive comments and flamebait? You've unfortunately been doing it repeatedly. It's not what this site is for, and destroys what it is for.

If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.
by sebasv_ | 2026-01-29 21:56:29+00:00
I am stumped. Am I misreading, or are the folks at Google deliberately confounding two interpretations of "world model"? Dont get me wrong, this is really cool, and it will undoubtedly have its use. But what I am seeing is an LLM that can generate textures to be fed into a human-coded 3d engine (the "world model" that is demonstrated), and I fail to see how that brings us closer to AGI. For AGI we need "world models" as in "belief systems". The AI model must be able to reason about (learned) dynamics, which I dont see reflected in the text or video.
by jiggawatts | 2026-01-29 21:57:03+00:00
An interview with a Silicon Valley big shot finally explained this.

The concept is that you can convince smart people to work extra hard for you by selling them the story that no-no-no, they’re not merely tweaking some dystopian algorithm to sell Chinese plastic crap to people, they’re saving the world.

Once you recognise this pattern, you’ll see it everywhere: Zuckerberg, Sam Altman, and Elon all do it.

Hence the “AI safety” rhetoric. Those CEOs will gladly take the safeties off and make an army of Terminators to sell to the highest bidder! The safety talk is for their employees, to convince them to work like slaves to “save the world”.
by amluto | 2026-01-29 21:57:05+00:00
I think that SFINAE and, to a lesser extent, concepts is fundamentally a bit odd when multiple translation units are involved, but otherwise I don’t see the problem.

It’s regrettable that the question of whether a type meets the requirements to call some overload or to branch in a particular if constexpr expression, etc, can depend on what else is in scope.
by JackSlateur | 2026-01-29 21:57:08+00:00
Which is exactly the same as "my wealth was constant and my neighbor's grew"

Which is exactly the same as "my neighbor's the same and my wealth decreased"

Which is exactly the same as "getting siphoned to the rich"

Money have no intrinsic value: its only value is relative the others (and also depends on what can be bought ..)
by moomoo11 | 2026-01-29 21:57:13+00:00
are you being dense on purpose, or you just don't understand how context works? hint, check out the "context" link

look at what I was replying to. if you still don't get it, then yeah I'm just proving my point and you can keep crying about it.

> So the TechCrunch headline should be "Waymo hits child better than a human driver would"? Not sure if the details reflect how the general public actually interprets this story (see the actual TC headline for exhibit A).

That is the general public sentiment I was referring to.

The fact that you go around asking dumb questions in bad faith to people is enough for me, last time I engage with you.

Have a good life!
by aanet | 2026-01-29 21:57:29+00:00
> In a technical sense, maybe, but it's all going to be about optics.

Indeed, it is, and that is exactly why Waymo will have to accept some responsibility. I can bet that internally Waymo's PR and Legal teams are working overtime to coordinate the details with NHTSA. We, the general public, may or may not know the details at all, if ever.
However, Waymo's technical teams (Safety, etc) will also be working overtime to figure out what they could have done better.

As I mentioned, this is a standard test, and Waymo likely has 1000s of variations of this test in their simulation platforms; they will sweep across all possible parameters to make this test tighter, including the MER (minimum expected response from the AV) and perhaps raise the bar on MER (e.g. brake at max deceleration in some cases, trading off comfort metrics in those cases; etc.) and calculate the effects on local traffic (e.g. "did we endanger the rear vehicles by braking too hard? If so, by how much??" etc). All these are expected actions which the general public will never know (except, perhaps via some technical papers).

Regardless, the PR effects of this collision do not look good, especially as Waymo is expanding their service to other cities (Miami just announced; London by EOY2026). This PR coverage has potential to do more damage to the company than the actual physical damage to the poor traumatized kid and his family. THAT is the responsibility only the company will pay for.

To be sure, my intuition tells me this is not the last such collision. Expect to see some more, by other companies, as they commercialize their own services. It's a matter of statistics.
by mlyle | 2026-01-29 21:57:31+00:00
All depends on what you read as "significant improvement".

A 20% lower fatal crash rate compared to the average might be a significant improvement-- from a public health standpoint, this is huge if you could reduce traffic deaths by 20%.

But if you don't get the worst drivers to replace their driving with autonomous, that "20% less than average" might actually make things worse. That's my point. The bar has to be pretty dang high to be sure that you will actually make things better.
by turtletontine | 2026-01-29 21:57:41+00:00
I feel like I’ve seen more and more people recently fall for this trick. No, LLMs are not “empathetic” or “patient”, and no, they do not have emotions. They’re incredibly huge piles of numbers following their incentives. Their behavior convincingly reproduces human behavior, and they express what looks like human emotions… because their training data is full of humans expressing emotions? Sure, sometimes it’s helpful for their outputs to exhibit a certain affect or “personality”. But falling for the act, and really attributing human emotions to them seems, is alarming to me.
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by cbeach | 2026-01-29 21:57:43+00:00
Here’s an emblematic example of the problems in the community - Scala Center’s executive director Darja Jovanovich berating a conference audience with sexualised slurs and swearing:

https://x.com/jdegoes/status/1633888998434193411

And instead of facing any consequences, it’s actually the whistleblower (John De Goes) who is criticised for calling her out.

This issue is rooted in politics (Darja is a political sciences graduate with no commercial or academic Scala experience - AKA a leftwing DEI hire, whereas John De Goes is a powerhouse contributor to the ecosystem who failed to bow down to the leftwing establishment that had installed itself in the ecosystem).
by kingstnap | 2026-01-29 21:58:03+00:00
Related: https://arxiv.org/abs/2601.03220

This is a paper that recently got popular ish and discusses the counter to your viewpoint.

> Paradox 1: Information cannot be increased by deterministic processes. For both Shannon entropy and Kolmogorov complexity, deterministic transformations cannot meaningfully increase the information content of an object. And yet, we use pseudorandom number generators to produce randomness, synthetic data improves model capabilities, mathematicians can derive new knowledge by reasoning from axioms without external information, dynamical systems produce emergent phenomena, and self-play loops like AlphaZero learn sophisticated strategies from games

In theory yes, something like the rules of chess should be enough for these mythical perfect reasoners that show up in math riddles to deduce everything that *can* be known about the game. And similarly a math textbook is no more interesting than a book with the words true and false and a bunch of true => true statements in it.

But I don't think this is the case in practice. There is something about rolling things out and leveraging the results you see that seems to have useful information in it even if the roll out is fully characterizable.
by chaps | 2026-01-29 21:58:12+00:00
I'm not sure that finding and killing the correct process is something I'd consider to be a "sysadmin task". That's something you learn in the first day of just about any linux course/primer and there are many examples of its use online.

It's more that the default is to overuse tools that cast too-wide nets like pgrep and pkill. And it doesn't know how to use the output well enough. Like, when these systems do ps, it identifies random processes in the list instead of identifying the most recent process that it, itself, started.

It's as if some SRE-type person decided to hard code pgrep and pkill because it's their personal preference.
by OneDeuxTriSeiGo | 2026-01-29 21:58:20+00:00
On this topic of ports/recomps there's also OpenGOAL [1] which is a FOSS desktop native implementation of the GOAL (Game Oriented Assembly Lisp) interpreter [2] used by Naughty Dog to develop a number of their famous PS2 titles.

Since they were able to port the interpreter over they have been able to start rapidly start porting over these titles even with a small volunteer team.

1. https://opengoal.dev/

2. https://en.wikipedia.org/wiki/Game_Oriented_Assembly_Lisp
by bell-cot | 2026-01-29 21:58:31+00:00
Humans generally find "food safety expert sickens guests with tuna salad he left out overnight on warm countertop" to be a far more damning charge than "fire safety expert sickens ... warm countertop".

Dig up a live mic catching Hillary calling the IOC a bunch of self-serving scum just as Obama was begging them to award the 2016 Olympics to Chicago, and we might call it comparable.
by 9rx | 2026-01-29 21:58:38+00:00
> You're experiencing throttling. Use the API instead and pay per token.

That was using pay per token.

> Write every prompt like a government work contract in which you're required to select the lowest bidder, so put guardrails everywhere.

That is what I was doing yesterday. Worked fantastically. Today, I do the very same thing and... Nope. Can't even stick to the simplest instructions that have been perfectly fine in the past.

> If you're using Opus-4.5 for code generation, then consider using GPT-5.2-Codex for review.

As mentioned, I tried using Opus, but it didn't even get the point of producing anything worth reviewing. I've had great luck with it before, but not today.

> Instruct the model to keep a detailed log in a file and, after a context compaction

No chance of getting anywhere close to needing compaction today. I had to abort long before that.

> Build a mental model for which models are good at which tasks.

See, like I mentioned before, I thought I had this figured out, but now today it has all gone out the window.
by keybrd-intrrpt | 2026-01-29 22:00:06+00:00
Hello, there is another study that might be relevant to you

https://pubmed.ncbi.nlm.nih.gov/28768407/

> A statistical error in the estimation of the recommended dietary allowance (RDA) for vitamin D was recently discovered

> ... This could lead to a recommendation of 1000 IU for children <1 year on enriched formula and 1500 IU for breastfed children older than 6 months, 3000 IU for children >1 year of age, and around 8000 IU for young adults and thereafter.