MurphyA/hacker-news huggingface dataset:
by dxxvi | 2026-03-14 00:55:32+00:00
Not sure if there's anybody like me. I use AI for only 2 purposes: to replace Google Search to learn something and to generate images.
I wonder where there are not many models that do only 1 thing and do it well. For example, there's this one https://huggingface.co/Fortytwo-Network/Strand-Rust-Coder-14... for Rust coding. I haven't used it yet, so don't know how it's compared to the free models that Kilo Code provides.
by Cognitive_2026 | 2026-03-14 00:55:53+00:00
The collapse is real, but it isn't inevitable it’s mostly a design choice.
Most AI tools optimize for speed and answer quality, which removes the friction that builds understanding.
But tools could be designed differently: ask users for their attempt first,explain reasoning after answers or gradually remove guidance as skill grows.
The tricky part is that “makes you think harder” usually hurts engagement metrics.
Curious are there any tools already trying to do this well?
by jrey36 | 2026-03-14 00:56:37+00:00
this is not going to just be a little file stored locally. The law says the operating system PROVIDER sends that signal to app devs.
Think like they do and linux doesn't exist. You create an account for your phone already, whether Google or Apple. Just add the bday is a required field. Now it's across all your devices tied to that account. It cannot be changed once set. The idea is that parents buy the devices for their kids and will be asked to set the age for the child.
Linux distros have no way to comply with this
by troad | 2026-03-14 00:56:59+00:00
And when it's normalised for firmware updates to happen via WebHID and WebUSB? Saying no will seem as fringe as browsing the web with NoScript. It's already the main way to upgrade keyboard firmware for a lot of mechanical keyboards, and it only works on Chrome. Thrilling developments for Google.

>> But of course, don't let the facts get in the way of your fanboyism for Apple.

Mate, I didn't even mention Apple. You're the one with the fixation here. Mozilla/Firefox is also deeply opposed to these anti-features.
by 9rx | 2026-03-14 00:57:03+00:00
> Sure but your definition doesn't cover it.

How does it not cover it?

> Problem with making encapsulation and polymorphism essential to OOP definition, is that it then starts garbling up functional languages like Haskell and imperative like C.

Polymorphism? That was never mentioned. Let me reiterate the definitions:

- Imperative: Plain functions (C, Fortran, Pascal).

- Functional: Functions with encapsulation (C++, Java, Haskell, Erlang).

- Object-oriented: Message passing (Smalltalk, Objective-C, Ruby, Erlang).

Let me also reiterate that there are other axis of concerns. Imperative, functional, and object-oriented are not trying to categorize every last feature a programming language might have. Mutable/immutable, or polymorphic/monomorphic, etc. are others concerns and are independently labeled as such.

> Perhaps, but broadly speaking people agree that C++ and Java are OOP

Many have come to, but I wouldn't say broadly. Kay was pretty explicit that C++ wasn't OOP when he came up with the term. I expect Java only got called OOP by someone because many of its early team members came directly over from working on Smalltalk, and Gosling was a huge fan of Smalltalk. With that pedigree, it was assumed it would be OOP, not labelled as such because of its actual design.
by Manuel_D | 2026-03-14 00:57:32+00:00
I don't think that's how it works. An anti radiation missile from the 90s had a pretty high degree of autonomy. I know the British ones could deploy a parachute when the radar stopped emitting and reacquire the target when it reactivated. The missile quite literally made targeting and engagement decisions on its own.

The human that launched the missile is still responsible for it. Weapons that have autonomy are still given engagement parameters (e.g. limit target to certain geo bounds, engage between two certain timestamps). The humans that set those parameters and choose to deploy the weapon are responsible for what the autonomous weapon does.
by scarecrowbob | 2026-03-14 00:58:02+00:00
I mean -also- weird to claim that the CCP invented scoring folks, but even if they did, it'd be hella weird to think that somehow they helped a US local power company implement it...

Look, I get that "CCP Bad". It's just always wild to see folks try and make that case when something has literally nothing to do with it, especially while there are plenty of pretty horrific and material mechanisms in play without pretending that the big-O Other is to blame.
by MikeNotThePope | 2026-03-14 00:58:49+00:00
Is it ever useful to have a context window that full? I try to keep usage under 40%, or about 80k tokens, to avoid what Dex Horthy calls the dumb zone in his research-plan-implement approach. Works well for me so far.

No vibes allowed: https://youtu.be/rmvDxxNubIg?is=adMmmKdVxraYO2yQ
by nwallin | 2026-03-14 00:59:20+00:00
I was on a jury a few years ago. The defendent was a homeless person with mental health issues. The cop was obviously lying about the one thing that was the core element of the crime. It was like a child telling the truth about every element of the indoor soccer game expect the part where they were the one who kicked the ball.

The jury was me, (white) nine other white people, and two brown people. Me and the brown people thought the cop was obviously lying, and was therefore not guilty. The nine other people thought he was guilty.

Like the cop was obviously fucking lying.

After three days of deliberation we declared a hung jury.

I was speaking with the prosecutor afterwards and he mentioned they were going for the felony version of the crime instead of the misdemeanor (he was obviously guilty of the misdemeanor, the felony depended on the element the cop was lying about) because the dude was a bad dude and they needed to get him.

I looked him up when I got home. (I didn't look him up during the trial, they expressly forbid you from doing that) He had done something bad and went to prison for four years. He did his time and got out. They were still trying to throw the book at him for bullshit.

I looked him up recently. He was never convicted of anything ever again, but died in jail two years after we declared a hung jury. Prosecutor got what he wanted in the end, I suppose.
by Lama9901 | 2026-03-14 00:59:38+00:00
What would change your mind? Genuine question.

The adversarial test is public and runnable in 5 minutes:

git clone https://github.com/Lama999901/metagenesis-core-public
python demos/open_data_demo_01/run_demo.py

If output isn't PASS/PASS on your machine, I want to know.
If the protocol design is flawed, I want to know where specifically.

Known limitations are machine-readable: reports/known_faults.yaml
by mdx97 | 2026-03-14 01:00:11+00:00
I'd say I generally agree with this sentiment, but it's important to first build the proper rapport with the recipient. If you show them kindness and respect outside the bounds of technical conversations, they'll be much more likely to assume the best of you when you communicate straight-forwardly over technical matters.

You also should take care to avoid crossing the line into just being a jerk. This type of thinking is also often used by people who are simply arrogant and rude and are patting themselves on the back for being that way in the name of "directness" or "efficiency".
by billti | 2026-03-14 01:00:13+00:00
> the product is mediocre at best

I'm not a Tesla fanboy, last year was the first time I bought one (new Model Y), but it is by far the best car I've ever owned, and the FSD blew my mind with how much better it was than I expected.

My wife hates Elon, and has a new hybrid Mitsubishi, but she still drives my Model Y all the time because it's just so much better to drive.

What are you basing the 'mediocre' opinion on?
by NikolaNovak | 2026-03-14 01:00:28+00:00
No idea why you're down voted... I blissfully played cyberpunk 2077 for two years on GeforceNow. I still keep my membership even though I have a dedicated gaming pc now, for occasional laptop or living room pc use. It was beyond brilliant to play a hyper demanding game on a bare spec pc :-)

Mind you,I have gigabit internet. I don't know what the experience would be like on other types of internet / worldwide.
by krapp | 2026-03-14 01:00:31+00:00
It is absolutely, unequivocably and undeniably "USA". Trump was elected by the American people, twice, and the US hasn't actually declared a war since World War 2. So the precedent for the President to just go bomb whomever they want and ask permission later (and get it after the fact) is already well established and accepted.

And the US has been talking around war with Iran ever since they were added to the Axis of Evil by GWB.
by 2001-wville | 2026-03-14 01:00:55+00:00
Rome is of interest to Republican power brokers because church-going White Catholics increased their voting for Trump by 5% (57-62%) from 2020-2024.
Taxes for private schools is a right wing religious plan aimed at making the country conservative, “On a mission from God: inside the movement to redirect billions in taxpayer dollars to religious schools,” ProPublica, 1-13-2025.
Reportedly, 80% of private school parents choose religious schools.
by throwup238 | 2026-03-14 01:01:47+00:00
Aluminum smelters use the Hall-Heroult process, where alumina is dissolved in molten cryolite and electrolytically reduced in massive “pots” which are basically large electrolytic cells. Each pot contains a carbon cathode lining that must be kept at around 950C during operation. If the pot cools down, the frozen electrolyte and solidified aluminum contract at different rates than the carbon and steel shell, cracking the lining.

Once it’s cracked, the pot has to be completely cleaned out and relined which takes weeks. A smelter usually has hundreds of pots so this alone takes a while as the liner and anything in it are basically frozen solid and need to be broken apart and torn out. Once relined the pots must be brought back up slowly and the chemistry balanced. The pots also draw a ton of power and are wired in series so they have to all be brought up slowly together (or in batches).

That assumes it was a clean shutdown with nothing else clogged up in the system. “Cleaning” in smelting means that the hardware involved needs to be replaced because it fused to molten metal while cooling down.
by scarmig | 2026-03-14 01:02:51+00:00
Wiki's Gamergate opening paragraph:

> Gamergate or GamerGate (GG) was a loosely organized misogynistic online harassment campaign motivated by a right-wing backlash against feminism, diversity, and progressivism in video game culture. It was conducted using the hashtag "#Gamergate" primarily in 2014 and 2015. Gamergate targeted women in the video game industry, most notably feminist media critic Anita Sarkeesian and video game developers Zoë Quinn and Brianna Wu.

Grokipedia's:

> Gamergate was a grassroots online movement that emerged in August 2014, primarily focused on exposing conflicts of interest and lack of transparency in video game journalism, initiated by a blog post detailing the romantic involvement of indie developer Zoë Quinn with journalists who covered her work without disclosure. The controversy began when Eron Gjoni, Quinn's ex-boyfriend, published "The Zoe Post," accusing her of infidelity with multiple individuals, including Kotaku journalist Nathan Grayson, whose article on Quinn's game Depression Quest omitted any mention of their prior personal contact. This revelation highlighted broader patterns of undisclosed relationships and coordinated industry practices, such as private mailing lists among journalists, fueling demands for ethical reforms like mandatory disclosure policies.

I don't care about "Gamergate" and never use Grokipedia, but Wiki definitely has a stronger slant: it's as if an article about Black Lives Matter started with a statement that it was a campaign meant to scam people to pay for mansions for leadership.
by AnimalMuppet | 2026-03-14 01:03:03+00:00
Even ethically, this is only true if you think the ethics of the place are so bad that sabotage is warranted. That's not every place that you have ethical problems with.

To do that (and hide it), you have to become a dishonest person yourself. That is ethically destructive to you. So the threshold for doing this should be pretty high.
by numpad0 | 2026-03-14 01:03:19+00:00
They must have outcompeted Musk at intelligence and/or insanity with their dedication into maximizing production volume of liquid fueled rocket engines.

Tom Mueller was a VP of propulsion at TRW Inc., which, among numerous other things you know from textbooks, made the Apollo LM descent engine, as well as early Space Shuttle TDRS data relay system sats. Calling Mueller a guy interested with engines having issues with his bosses is like referring to Craig Federighi as a guy interested in designing his own laptop.

I guess now that everyone knows about Elon, and Elon himself probably becoming more paranoid from both age and after SpaceX years and exposure to Twitter infoflood without adequate mental immunity, on top of most people who'd be in position to meet him not being as smart and quietly lunatic as literal Old Space trained rocket scientists, the scheme of temporarily impinging ideas upon Musk so to securely attaching the funding for your own thing do not work so well anymore.
by rubyrfranklin2 | 2026-03-14 01:03:50+00:00
Real-time speech translation is something I think about constantly running heyvid.ai — we're always chasing that latency vs. quality tradeoff for multilingual video. JEPA's approach is interesting because it sidesteps the typical encode-decode bottleneck that kills most real-time pipelines. I'd be curious how it holds up on accented or fast speech. Back at Adobe I saw how even 200ms of lag completely destroyed the perceived quality of live demos. The latency budget for translation is so much tighter than transcription-only, so any architectural win like this is worth watching closely.
by MidnightRider39 | 2026-03-14 01:04:08+00:00
The Palantir themselves aren’t evil, they were made by the elves long before the events of LOTR. Essentially they are just a tool.

However I heard that Thiels favourite book is the rewrite of LOTR from the perspective of Sauron, where Gandalf and the elves seek to destroy humanity and technology (at least that’s how I understood the gist, haven’t read it)
by steve_adams_86 | 2026-03-14 01:04:43+00:00
That's about it. The harness is still pretty rudimentary so I'm sure the system could be more capable, and that might reveal more interesting opportunities. I don't really know.

So far I've got it orchestrating a few instances to dig through logs, local emails, git repositories, and github to figure out what I've been doing and what I need to do. Opus is waayyy better at it, but Qwen does a good enough job to actually be useful.

I tried having it parse orders in emails and create a CSV of expenses, and that went pretty badly. I'm not sure why. The CSV was invalid and full of bunk entries by the end, almost every time. It missed a lot of expenses. It would parse out only 5 or 6 items of 7, for example. Opus and Sonnet do spectacular jobs on tasks like this, and do cool things like create lists of emails with orders then systematically ensure each line item within each email is accounted for, even without prompting to do so. It's an entirely different category of performance.

Automation is something I'd like to dabble in next, but all I can think of it being useful for is mapping commands (probably from voice) to tool calls, and the reality is I'd rather tap a button on my phone. My family might like being able to use voice commands, though. Otherwise, having it parse logs to determine how to act based on thresholds or something would also be far better implemented with simple algorithms. It's hard to find truly useful and clear fits for LLMs
by calqacon | 2026-03-14 01:04:52+00:00
How about Gabrowski et al.: "Wikipedia’s Intentional Distortion of the History of the Holocaust", about the outsize influence of certain coordinated Polish editors on the Wikipedia articles about Poland and the Holocaust?

https://www.tandfonline.com/doi/epdf/10.1080/25785648.2023.2...

Quote from the conclusion:

> This essay has shown that in the last decade, a handful of editors have been steering Wikipedia’s narrative on Holocaust history away from sound, evidence-driven research, toward a skewed version of events touted by right-wing Polish groups. Wikipedia’s articles on Jewish topics, especially on Polish–Jewish history before, during, and after World War II, contain and bolster harmful stereotypes and fallacies. Our study provides numerous examples, but many more exist. We have shown how the distortionist editors add false content and use unreliable sources or misrepresent legitimate ones.

For a more recent paper, "Disinformation as a tool for digital political activism: Croatian Wikipedia and the case for critical information literacy" by Car et al. says that:

> The Hr.WP [Croatian Wikipedia] case exemplifies disinformation not only as content manipulation, but also as process manipulation weaponising neutrality and verifiability policies to suppress dissent and enforce a single ideological position.

https://doi.org/10.1108/JD-01-2025-0020
by fnordpiglet | 2026-03-14 01:05:07+00:00
I’ve been using 1M for a while and it defers it and makes it worse almost when it happens. Compacting a context that big loses a ton of fidelity. But I’ve taken to just editing the context instead (double esc). I also am planning to build an agent to slice the session logs up into contextually useful and useless discarding the useless and keeping things high fidelity that way. (I.e., carve up with a script the jsonl and have subagent haiku return the relevant parts and reconstructing the jsonl)
by Kim_Bruning | 2026-03-14 01:06:16+00:00
Oh, my impression is that there's many iterative approaches to writing code (and doing other things besides). All of them work for a while, and then either someone "simplifies" out the iteration part, or in some way they render the iterative part toothless.

Basically you end up with something resembling a cargo cult, with all the rituals still there, but the tightly coupled feedback loop is missing.

Quick question: There's some sort of minor UAT ~once a week (or per whatever your cycle is), RIGHT? And then you find out umpteen things wrong (with the software and with the specs) , and you fix them; RIGHT?

If you have an actual commissioning or final UAT at the end of your project, it's just a formality with cake RIGHT?

Else how is that even agile? :-P
by TheRoque | 2026-03-14 01:06:17+00:00
I also bought a flagship iphone with the idea that maybe someday it could be used for work (S25+), first of all I was disappointed that the Snapdragon chips don't actually support the new Android Terminal feature.

Anyways there is Tmux, but if I wanted to do actual work, like with my stack: nodejs, docker container (with a postgres, a redis)... I am not sure it would work. Haven't done it so far but I'd be curious of other's experiences.

Also an Xreal and a foldable keyboard and you can just work anywhere with a chair and a desk

I also wanna try running some windows game on it, apparently it's working-ish at and Valve might improve that part of the ecosystem too

I hope that in the future, buying 2 devices will not be required and instead just buying one powerful one + optional peripherals will be ok.
by ivzak | 2026-03-14 01:06:21+00:00
It seems to be the hit rate of a very straightforward (literal matching) retrieval. Just checked the benchmark description (https://huggingface.co/datasets/openai/mrcr), here it is:

"The task is as follows: The model is given a long, multi-turn, synthetically generated conversation between user and model where the user asks for a piece of writing about a topic, e.g. "write a poem about tapirs" or "write a blog post about rocks". Hidden in this conversation are 2, 4, or 8 identical asks, and the model is ultimately prompted to return the i-th instance of one of those asks. For example, "Return the 2nd poem about tapirs".

As a side note, steering away from the literal matching crushes performance already at 8k+ tokens: https://arxiv.org/pdf/2502.05167, although the models in this paper are quite old (gpt-4o ish). Would be interesting to run the same benchmark on the newer models

Also, there is strong evidence that aggregating over long context is much more challenging than the "needle extraction task": https://arxiv.org/pdf/2505.08140

All in all, in my opinion, "context rot" is far from being solved
by satring | 2026-03-14 01:06:27+00:00
The real loss here isn't Google Fiber itself, it's the competitive pressure it created. Every city where Google Fiber launched or even announced plans saw incumbent ISPs suddenly "discover" they could offer faster speeds at lower prices. That threat alone was worth more to consumers than the actual service.

PE firms optimize for cash extraction, not market disruption. Expect the new entity to quietly stop expanding, raise prices to match competitors, and eventually become indistinguishable from the cable company it merged with.
by satring | 2026-03-14 01:06:57+00:00
The big win is multi-file refactors where the model needs to hold the full dependency graph in context simultaneously. With 200k, compaction kicks in mid-task and the model loses track of which files it already changed, leading to inconsistencies or repeated work. With 1M you can load an entire module (tests, types, implementation) and get a coherent refactor in one pass.

Also useful for long debugging sessions where the conversation history itself is the context. Compaction preserves a summary, but summaries lose the exact error messages, stack traces, and failed approaches that help the model avoid going in circles.
by levinb | 2026-03-14 01:07:00+00:00
Much more frequent conflicts, yes.

Much less total death and dying as well, though. Battles were short and small scale until the Civil War (maybe the Napoleonic Wars prior? Debatable). The largest battles of history prior to the industrial revolution were in the thousands, 10s of thousands of people. Forces were usually broken and defeated or fled after brief engagements. Brutal in experience, but smaller in scale.

It was that perception of war as personal, intimate, chivalric, by old men that let to the peak atrocity period (PAP? Did I coin a term?) of ~1850-1950. WWI was really the first modern reckoning of industrialized, globalized war, that led to the staggering scale of suffering. Incomprehensible to the men that commanded it, as they were born and acculturated in pre-modern war era culture.

But then the epoch-defining tool of the atom came along, and war has gone back to smaller scale, focused, targeted, "precision".

So here we sit, straddling two eras again. Pre-drone and post drone. We have not fully reckoned with what the new era means. But it will come quickly, like most modern tool-culture cycles.
by malklera | 2026-03-14 01:07:36+00:00
From the outside I see (do not write manually managed memory).

C/C++, you SHOULD do X to prevent certain bugs.

Rust, you MUST do X to prevent certain bugs.

Humans are lazy, error-prone, unskilled, etc. When I decide to get to a more low-level language, I will choose the language that forces me to good behavior.
by hagen8 | 2026-03-14 01:07:55+00:00
Well, the question is what is contributing to the usage. Because as the context grows, the amount of input tokens are increasing. A model call with 800K token as input is 8 times more expensive than a model call with 100K tokens as input. Especially if we resume a conversation and caching does not hit, it would be very expensive with API pricing.