MurphyA/hacker-news huggingface dataset:
by bhouston | 2025-12-11 11:40:52+00:00
This seems to miss diagnose the issue as suicide but really the startup wasn’t having success. If the company isn’t making money, then yes you run out of runway, you get founder conflicts etc. Saying this is suicide is missing the point.

If you are failing giving up is sometimes the right option. Many startups are based on assumptions/predictions that turn out to be wrong. And it is hard to pivot if you’ve spent the money and committed or not worth it if your cap table is wrecked.

BTW this mostly read like it was mostly written by AI. The various bolded text, missing the point, and emdashes.
by genuser | 2025-12-11 11:41:49+00:00
The Dell 14 Premium positions itself as a premium workstation for creative professionals, but its defining characteristic might be its surprising heft. At nearly four pounds, this 14-inch laptop feels substantially heavier than competitors in its class. Trading ultimate portability for exceptional build quality that borders on over-engineering. While its aluminum chassis delivers undeniable durability and premium construction. The weight penalty raises questions about whether this device truly meets the mobility needs of most creative professionals who typically prefer 14-inch form factors.
by roenxi | 2025-12-11 11:41:52+00:00
Compared to the average human? Yes. Most people are distressingly bad at empathy to the point where just repeating what they just heard back to an interlocutor in a stressful situation could be considered an advanced technique. The average standard of empathy isn't that far away from someone who sees beatings as a legitimate form of communication. Humans suck at empathy, especially outside a tight in-group. But even in-group they lack ability.
by drhagen | 2025-12-11 11:42:29+00:00
If this gets wide enough use, they could add an optimization for code like this:

n = 1000 a = {} for i in range(n): a[i] = str(i) a = frozendict(a) # O(n) operation can be turned to O(1)

It is relatively easy for the JIT to detect the `frozendict` constructor, the `dict` input, and the single reference immediately overwritten. Not sure if this would ever be worth it.
by IshKebab | 2025-12-11 11:43:14+00:00
> In html you can just view comments as another node in a uniform tree.

When you parse an AST with comments (or a CST), they do become "just another node in a uniform tree". Think about it - in HTML you have a tree of nodes but comments can be anywhere, which is exactly as obnoxious to deal with as a CST where comment nodes can be anywhere.

This is a terrible reason to not support comments. If it was really important, then probably you should support comments in only a couple of places, e.g. on attributes or on selectors.

But I don't think it is very important. I can't think of a single tool that loads CSS, rearranges it, and then spits it back out in a form that would benefit from comments.
by barnabee | 2025-12-11 11:43:17+00:00
> it's also that the regenerative braking means that the tires are dissapating energy that otherwise would have gone to the brake pads or to air resistance

This does not seem correct...

- Air resistance slows the car without putting anything extra through the tyres (the friction is between car and air rather than between tyre and road)

- Regenerative braking channels energy into the battery, and also heat, that would otherwise be dissipated by heating and ablating the brake pads and discs, but regardless or whether it's brakes or the the motor acting as a dynamo that puts resistance on the rolling of the wheels, for a given amount of braking you will have the same forces between the tyres and the road and the same tyre wear.

So I'd expect it's only any additional weight that contributes to increase tyre particulates from electric care. Perhaps a tiny contribution from lower air resistance (on average at least) for electric cars, as there's often quite an effort to reduce the drag coefficient for range reasons, but I wouldn't expect this to be substantial as air resistance is not huge part of braking.
by deificx | 2025-12-11 11:43:22+00:00
Not GP, but I guess I'm using the same app. You guess (and then it gives you the price up front). 10 minutes before it expires it asks you if you want to extend it. There might also have been a detect if you drive away and stop feature (don't recall).

Mostly these days all paid parking has registration camera's, and it just starts and stops parking for you automatically. However, there are like 3 or so apps that compete here so you need a profile with all of them for this to work and you also need to enable this on all the apps.
by Ekaros | 2025-12-11 11:43:41+00:00
I would expect sufficient "General Intelligence" to be able to correct itself in process. I hear way too often that you need to restart something to get it work. This to me doesn't sound sufficient yet for general intelligence. For that you should be able to leave it running all the time and learn and progress during run-time.

We have bunch of tools for specific tasks. This doesn't again sound like general.
by randomtoast | 2025-12-11 11:43:44+00:00
One of my biggest points of criticism of Python is its slow cold start time. I especially notice this when I use it as a scripting language for CLIs. The startup time of a simple .py script can easily be in the 100 to 300 ms range, whereas a C, Rust, or Go program with the same functionality can start in under 10 ms. This becomes even more frustrating when piping several scripts together, because the accumulated startup latency adds up quickly.
by potato3732842 | 2025-12-11 11:44:12+00:00
Sure, some people will get hit with the reds. Some people will learn the timing and learn that you can run just one red and then hit all greens, or that it will save you 5+min if you hammer down and pull a "clearly not ok" pass to get around some idiot who's going too slow to make the green timing.

So yeah, you're reducing speeding, number go up, pat yourself on the back. But you're also increasing the incidence of something rarer than speeding, but way worse.

This is the same problem that 4-way stops at roads that don't deserve them create, you're basically teaching people that the signage is bullshit.
by bellamoon544 | 2025-12-11 11:44:17+00:00
Autoreach is not a basic scheduler or a bulk DM tool. It is the first end-to-end AI Sales Agent designed to fully automate B2B lead generation on X, replacing the need for manual SDR work. For too long, scaling outreach meant sacrificing quality for volume, resulting in spam. Autoreach solves this by bringing conversational intelligence to scale, giving founders and sales teams a predictable flow of qualified meetings. Key Features That Deliver Predictable Pipeline: AI Conversation Engine: Our system replaces static templates with dynamic, context-aware dialogue. It handles common objections, answers questions, and qualifies intent naturally, just like a top SDR. 24/7 Zero-Friction Booking: The AI qualifies interested prospects and automatically integrates with your calendar to book the meeting instantly, eliminating all manual follow-up and lead drop-off. Relationship Warm-up: The AI engages (likes, replies) with your prospects' content before sending a DM, ensuring your outreach is always warm and achieving 30%+ response rates. Autoreach allows your human team to focus 100% on closing deals, while the AI guarantees a non-stop, predictable source of qualified calls. Best Suited For:- SaaS Founders needing to scale demos without hiring SDRs.- Agencies & Consultants needing a predictable, high-quality lead flow for clients.- B2B Sales Teams looking to triple pipeline without burnout.
by ACCount37 | 2025-12-11 11:44:34+00:00
Those are LLMs with an extra modality bolted to them.

Which is good - that it works this well speaks of the generality of autoregressive transformers, and the "reasoning over image data" progress with things like Qwen3-VL is very impressive. It's a good capability to have. But it's not a separate thing from the LLM breakthrough at all.

Even the more specialized real time robotics AIs often have a bag of transformers backed by an actual LLM.
by superultra | 2025-12-11 11:46:14+00:00
I’d say that an increasingly more common strand is that the way LLMs work is so wildly different than how we humans operate that it is effectively an alien intelligence pretending to be human. We have never and still don’t fully understand why LLMs work the way they do.

I’m of the opinion that AGI is an anthropomorphizing of digital intelligence.

The irony is that as LLMs improve, they will both become better at “pretending” to be human, and even more alien in the way they work. This will become even more true once we allow LLMs to train themselves.

If that’s the case than I don’t think that human criteria is really applicable here except in an evaluation of how it relates to us. Perhaps your list is applicable in LLM’s relativity to humans but many think we need some new metrics for intelligence.
by potato3732842 | 2025-12-11 11:47:29+00:00
Speeds are fundamentally a tradeoff between risk and reward. In nominally democratic societies we place these thresholds based on some approximation of social consensus. The general public literally cannot be wrong because their rough consensus, the fat part of the bell curve if you will, is what determines what the right speed is.

Your comment is literally the principal Skinner "no it's everyone else who's wrong" meme.
by simianwords | 2025-12-11 11:47:37+00:00
Fair point. Let’s take McKinsey and her woke charities. She sold Amazon shares and drove it into the charities. The charities are now consuming more. So there has to be equal decrease somewhere else right? People are consuming equally less somewhere else to allow for extra activity in charities.

You might think this is a nitpick but this is my main argument. If you redistribute Bezos wealth to poor people, there has to be equivalent reduction somewhere else.
by thewanit1 | 2025-12-11 11:47:39+00:00
In a world of rapidly improving AI where the "Best" model changes monthly, and Foundation Labs fighting to lock you in with your data, we are here to ensure that you can easily move across models, taking your data, context and privacy with your. Layered on top of the best AI tools by ChatGPT, Gemini, Claude, Perplexity and Grok, at Metir we also provide agents for Meeting Note Taking and other tasks to 10x your productivity
by ChrisMarshallNY | 2025-12-11 11:48:37+00:00
Yes and no. I read a lot, but in "bursts." My iPad is full of books; many that I have read, many that I have yet to read.

But I use most of my free time writing software. I also tend to do that in "bursts."

Haven't looked at Facebook in many months. Never did Twitter/X. In fact, the only place I spend much time online, is ... here. Most of my karma is from comments, not submissions.

So I guess I don't get out much.
by polycaster | 2025-12-11 11:48:47+00:00
> However, we notice – based on the social comments and international media coverage - that for many guests this period is 'the most wonderful time of the year'.

Cringe. I suspect the same people who needed social comments and international media coverage to figure out that Christmas might actually be a nice time for some people are the ones who decided that video was appropriate in content and aesthetics. Also, that quote reads a bit like a machine desperately trying to understand humans.
by Rochus | 2025-12-11 11:49:24+00:00
This is exactly right, and the "Man-or-Boy" benchmark hits the worst-case scenario for libstdc++ specifically. The optimization fails here. My "copy-by-value" comment refers to the ownership semantics. Since std::function owns its storage, and the Man-or-Boy recursion passes the closure into the next layer (often by value or by capturing it into a new closure), we trigger the copy constructor. If the SBO limit is exceeded, that copy constructor performs a new heap allocation and a deep copy of the state.
by housecarpenter | 2025-12-11 11:49:31+00:00
From Wikipedia:

"The exact location of Hyperion is nominally secret but is available via internet search.[12] However, in July 2022, the Redwood Park superintendent closed the entire area around the tree, citing "devastation of the habitat surrounding Hyperion" caused by visitors. Its base was trampled by the overuse and as a result ferns no longer grow around the tree.[13]

Measures to protect the Hyperion tree were officially implemented in 2022 when the National Park Service (NPS) closed public access to its location in Redwood National Park.[14][15] Anyone who gets too close could face up to six months in jail and a $5,000 maximum fine.[13][16][17]"
by Arainach | 2025-12-11 11:49:58+00:00
OP wanted "instant self signup". That doesn't work when malicious actors are trying to register accounts with stolen credentials. The verification flow is required because of the amount of pressure from malicious actors against both free and newly-created accounts.

"Give access now, cancel if validation fails" doesn't work either - so long as attackers can extract more than 0 value in that duration they'll flood you with bad accounts.
by Timwi | 2025-12-11 11:50:00+00:00
I'm not the person you responded to, but I found the article unreadable because it kept going on about Ev’s life instead of her research. I'm sure her research is valuable and insightful, but with this style of reporting it is both inaccessible to me, and it gives me the (probably flawed) impression that her research isn't the part of her life that's supposed to be important or impressive.
by jstanley | 2025-12-11 11:50:11+00:00
It's not confusing that this works in Go. (In my opinion).

A straightforward reading of the code suggests that it should do what it does.

The confusion here is a property of C, not of Go. It's a property of C that you need to care about the difference between the stack and the heap, it's not a general fact about programming. I don't think Go is doing anything confusing.
by rlawson | 2025-12-11 11:50:19+00:00
ah my home state. Many people here just have lost faith in science and the elites and just believe whatever political junk they are watching. Somehow letting your kid get measles is owning the libs. I don't understand it but am content to just watch it play out after many fruitless conversations. Eventually when enough bad things happen they'll hopefully come back to their senses.
Show HN: Graft – A minimal, type-safe Go DI library with no reflection/codegen
by grindlemire | 2025-12-11 11:50:20+00:00
Check out a minimal dependency injection library for Go I wrote called Graft:

https://github.com/grindlemire/graft

I typically dislike DI frameworks due to all the magic and heavy boilerplate. In Go specifically, I’ve found that tools like Wire or Fx feel too heavy for anything smaller than a huge enterprise repo. However, I still routinely run into wiring spaghetti in larger code bases that make them a pain to work in.

Graft tries to find a middle ground while staying very much a library and not a framework. It is type safe, has no reflection or codegen, and the compiler can provide compile-time cycle and missing dependency detection. I also include a one line test helper to verify your entire dependency graph is complete and cycle free in CI.

I’ve been using this in a few projects and it has held up really well, providing just enough structure without the typical magic of DI or complex argument routing of manual wiring.

I’d love to get your feedback on it!
by matriisitulo | 2025-12-11 11:50:38+00:00
I recently saw a [meme](https://www.reddit.com/r/AICompanions/comments/1ph8w96/devel...) about modern programmers implementing code in the spirit of

def is_odd(num): return OpenAI.chat(f"Is {num} odd?")

To me this felt like it wouldn't scale very well, with custom prompts needed for every function. So I implemented a decorator that you can use to ask `gpt-5-mini` to implement your functions during runtime based on function name, docstring[Optional] and type annotations [Optional]. In practice it looks like this:

from cursed_vibing_on_the_fly import ai_implement @ai_implement def check_if_number_is_prime(n): pass

To me this makes the code feel so much more dynamic and, dare I say, vibrant!

/s
by toast0 | 2025-12-11 11:51:29+00:00
Solid state drives tend to respond well to parallel reads, so it's not so clear. If you're reading one at a time, sequential access is going to be better though.

But for a mechanical drive, you'll get much better throughput on sequential reads than random reads, even with command queuing. I think earlier discussion showed it wasn't very effective in this case and taking 6x the space for a marginal benefit for the small % of users with mechanical drives isn't worth while...
by potato3732842 | 2025-12-11 11:52:17+00:00
>The love for diesel engines in many European countries was always confusing to me.

It's expressly incentivized by their tax system.

Imagine the year is 1988 and you're some snooty jerk in Europe about to buy a Mercedes. Why on earth would you go with the noisy, smelly diesel option if not to save A TON of money over the life of the vehicle?
by viraptor | 2025-12-11 11:52:47+00:00
> by putting every asset a level (for example) needs in the same file, you can pretty much guarantee you can read it all sequentially

I'd love to see it analysed. Specifically, the average number of nonseq jumps vs overall size of the level. I'm sure you could avoid jumps within megabytes. But if someone ever got closer to filling up the disk in the past, the chances of contiguous gigabytes are much lower. This paper effectively says that if you have long files, there's almost guaranteed gaps https://dfrws.org/wp-content/uploads/2021/01/2021_APAC_paper... so at that point, you may be better off preallocating the individual does where eating the cost of switching between them.
by immibis | 2025-12-11 11:56:09+00:00
This appears to be a slippery slope argument: if they ban specific algorithmic social media platforms that have a verified extremely negative effect on children, soon they'll ban all communications.

It could happen that they ban all communications, but if you think so, it needs its own argument; it can't hang off the social media ban. Otherwise it is like saying that if they ban children from drinking beer, soon they'll ban them from drinking liquids.
by adrian_b | 2025-12-11 11:56:52+00:00
You are right, but if legibility had been the reason for change, Times New Roman is a rather poor choice, even if better than Calibri.

Among Microsoft typefaces, Georgia would have been much better than Times New Roman, especially when read on displays, but even when printed.

There are of course even better choices, but Georgia is a familiar typeface for most people, it is similar enough to Times New Roman and the older versions of Georgia are free to use by anybody.

Georgia is not as condensed as Times New Roman, but here Times New Roman is the anomaly, as it is more condensed than a normal font, for the purpose of fitting within narrow newspaper columns.

From Windows 3.0 to Windows 98, I have used Times New Roman as my main text font in documents, because Windows did not include anything better, but immediately after the introduction of the superior Georgia I replaced Times New Roman with it for some years, until eventually I stopped relying on the bundled typefaces and I have bought some typefaces that I liked more, for use in all my documents. (Windows 3.0 did not have yet TTF fonts, with which the licensed Times New Roman was introduced later, but it already had a metrically equivalent Times font).
by throw0101a | 2025-12-11 11:56:52+00:00
Those potential users are self-imposing on themselves the need to be open source. There are no external, out-of-their-control factors making them 'be' open source (like there are with being poor, a certain gender, etc).

And for the record I do think it would there should be an (open source) HDMI 2.1 implementation in the Linux kernel, but I recognize the same IP law that protects HDMI licensing also allows enforcement of GPL/BSD licenses:

> Yes, I'd give the Devil benefit of law, for my own safety's sake!

* https://www.imdb.com/title/tt0060665/quotes/
by dontlaugh | 2025-12-11 11:57:18+00:00
Sure. I’ve seen people that do packaging for games measure various techniques for hard disks typical of the time, maybe a decade ago. It was definitely worth it then to duplicate some assets to avoid seeks.

Nowadays? No. Even those with hard disks will have lots more RAM and thus disk cache. And you are even guaranteed SSDs on consoles. I think in general no one tries this technique anymore.
by lapcat | 2025-12-11 11:57:31+00:00
I wouldn't read too much into the LLM analogy. The interview is disappointingly short, filled with a bunch of unnecessarily tall photgraphs, and the interviewer, the one who brought up LLMs and ChatGPT and has a history of writing AI articles (https://www.quantamagazine.org/authors/john-pavlus/), almost seemed to have an agenda to contextualize the research in this way. In general, except in a hostile context such as politics, interviewees tend to be agreeable and cooperative with interviewers, which means that interviews can be steered in a predetermined way, probably for clickbait here.

In any case, there's a key disanalogy:

> Unlike a large language model, the human language network doesn’t string words into plausible-sounding patterns with nobody home; instead, it acts as a translator between external perceptions (such as speech, writing and sign language) and representations of meaning encoded in other parts of the brain (including episodic memory and social cognition, which LLMs don’t possess).
by FranzFerdiNaN | 2025-12-11 11:58:03+00:00
Eventually that king will demand more and more. Humans are just fundamentally incapable of wielding that much wealth and thus power. And the pattern repeats again and again and again: billionaires actively lobby to destroy the livelihoods of huge swaths of people, destroy the environment, kill jobs or complete companies, do whatever they feel is necessary just so they can get even more money.
by patates | 2025-12-11 11:58:24+00:00
I quit social media many years ago and to answer the question: No, I just watch Youtube. If I could stop watching Youtube, I'm totally sure I'd finally be able to read books again /s

The problem is the award delay. In Youtube, I get my "award" in 10 minutes max. Starting to enjoy a book requires 1-2 hours investment, and the award can be anything between 1 and 10 in a scale of 10 (while median being more like 7), and Youtube is 3-6 with a rare 9.

I read a lot of self-improvement books lately, or heard to be honest. They didn't help me start reading. Atomic Habits came close.

I have (diagnosed, yet untreated, because of side effects) ADHD though. So maybe not the typical experience. I also couldn't read much (or do any homework) as a child.

Currently trying to stop myself from starting with short videos.
by philipwhiuk | 2025-12-11 11:59:01+00:00
Your script broke.

echo url=https://www.nytimes.com/2025/12/09/world/asia/australia-social-media-ban-under-16.html \ |curl -K/dev/stdin -Agooglebot > 1.htm firefox ./1.htm links -dump 1.htm|sed -n '/Effect/,/region./p'
by yunwal | 2025-12-11 11:59:26+00:00
For many things you can though. If I ask an LLM to create an alert in terraform that triggers when 10% of requests fail over a 5 minute period and sends an email to some address, with the html on the email looking a certain way, it will do exactly the same as if I looked at the documentation, and figured out all of the fields 1 by 1. It’s just how it works when there’s one obvious way to do things. I know software devs love to romanticize about our jobs but I don’t know a single dev who writes 90% meaningful code. There’s always boilerplate. There’s always fussing with syntax you’re not quite familiar with. And I’m happy to have an AI do it