MurphyA/hacker-news huggingface dataset:
by intellectronica | 2025-04-08 19:21:29+00:00
Only if I know exactly what I'm looking for but don't want to type the URL or don't remember it. I never actually search for information with a search engine anymore.

The only advantage Google and other traditional search engines have over AIs is that they're very fast. If I know for certain I can get what I want in under 1s I might as well use Google. For everything else, Perplexity or ChatGPT is going to be faster.
by findingMeaning | 2025-04-08 19:21:40+00:00
Mah bro, such is life. In fact the entirety of humanity is like that. Unfairness is everywhere.

There is nothing wrong being under accomplished. Let me tell you a secret that helps with mental sanity. All humans are sinful creatures. We indulge in lot of these sins. If you go through this chain of thought you arrive at conclusion, everyone is inferior to one another. The material superiority you yearn for is a momentary fleet in the river of time.

Sometimes just reflect on yourself. One perspective of life is your world governs you. If you are happy in your own world, try to let go of it. Just enjoy the moments and don't hold on it.

You are the actor and creator of your reality. Your objective reality is making you feel inferior. Define your role, change your actions, and act accordingly.

The inability to act according to your role is the probably reason behind your feeling. You probably see yourself through some different lens where your actions and objective reward do not align. All you can do is control your thoughts and actions. So act.
by hello_computer | 2025-04-08 19:21:41+00:00
Stating it in patronizing fact-checker tone does not make it true. The tech nerds started it (they love cheap labor pools). Then the politicians joined their masters’ bandwagon. It was a PR blitz. Who has the money for those? Dorseys, Grahams, & Zuckerbergs, or petty-millionaire mayors & congressmen? Politicians are just the house slaves—servants of money.

https://en.wikipedia.org/wiki/Learn_to_Code#Codecademy_and_C...
by TiredOfLife | 2025-04-08 19:21:41+00:00
Currently on Android i use Moon+ reader that has hyphenation + hanging punctuation. Before that (2008-2013) I used eInk reader that came with CoolReader (its layout engine "crengine" is the base for KOReader) that also had good hyphenation and hanging punctuation and nice footnotes.

So in my experience ereaders have had great layout engines.
Show HN: VibeTankArena – 1 on 1 tank battles
by coziestSoup | 2025-04-08 19:22:12+00:00
Hey there! I love making games! But I haven't had much time to do it lately. So when Vibe Coded games started becoming a thing, I thought it'd be the perfect opportunity to make a new game fast. This is what I made - a 1v1 Battle Tank game. Apart from an interesting gameplay flow (quick turn-based actions), I was also very excited to add AI into the game. You can enable AI mode by clicking on the AI button on the top left and that will let you speak commands to your tank. But it's tied to my OpenAI key right now, so not scalable.
by pcthrowaway | 2025-04-08 19:22:30+00:00
I mainly use Google or Duckduckgo (depending on what I'm searching for), but I think search quality has been declining because of AI slop.

Which is kind of a problem, especially for Google, because their incentive to limit AI slop in search results is reduced when AI is one of their products, and they stand to benefit from search quality declining across the board in relation to AI answers.
by innagadadavida | 2025-04-08 19:23:15+00:00
Meta Got Caught Gaming AI Benchmarks Meta released two new Llama 4 models over the weekend -- Scout and Maverick -- with claims that Maverick outperforms GPT-4o and Gemini 2.0 Flash on benchmarks. Maverick quickly secured the number-two spot on LMArena, behind only Gemini 2.5 Pro.

Researchers have since discovered that Meta used an "experimental chat version" of Maverick for LMArena testing that was "optimized for conversationality" rather than the publicly available version.

In response, LMArena said "Meta's interpretation of our policy did not match what we expect from model providers" and announced policy updates to prevent similar issues.
by rat87 | 2025-04-08 19:23:19+00:00
It already aired

https://en.m.wikipedia.org/wiki/From_Bureaucrat_to_Villaines...

> A bureaucrat named Kenzaburo Tondabayashi is killed by a passing truck after saving a boy and is reborn in the Otome game Magical Academy: Love & Beast as its villainess, Grace Auvergne. Due to his politeness, he makes Grace's personality change into a more kind person and even becomes friends with the game's heroine, Anna Doll, whom the original Grace is antagonistic towards. Meanwhile, Kenzaburo's original body is revealed to have survived, but he is stuck in a coma. His wife and daughter discover that he is trapped in the game and attempt to help him complete it in hopes of getting him out
by mdp2021 | 2025-04-08 19:24:35+00:00
Oh yes. I just received this through the RSS minutes ago:

# Introducing Bracket City: The Atlantic’s New Word Game

https://www.theatlantic.com/press-releases/archive/2025/04/i...

> Meet your next word-game obsession: Bracket City. Today we’re announcing that this fast-growing word puzzle - created earlier this year by an independent game designer - has a new home at The Atlantic. // In Bracket City, players solve nested layers of clues to uncover a fact about the given day in history. Each solved bracket reveals a part of the next, creating a chain reaction that eventually resolves the whole puzzle into a single sentence. Players earn city-themed ranks for success, such as “Commuter,” “Mayor,” or the coveted “Kingmaker” for a perfect puzzle. // Bracket City was created by Ben Gross and has rapidly amassed an audience of loyal players. Ben will continue to create daily puzzles with Caleb Madison, the director of games at The Atlantic.
by analog31 | 2025-04-08 19:25:04+00:00
I'm only quibbling here, and I agree with you, but an amusing factoid is that the ancient Romans used lead acetate as an artificial sweetener. It was made by boiling wine in a lead pot.

When I lived in Texas, it was practically universal to open up a cup of iced tea, grab several packs of Sweet'n'Low, rip the tops off all at once, and pour them in.
by tasty_freeze | 2025-04-08 19:25:06+00:00
When I was a kid in the 70s, our pantry had a bottle of saccharine tablets that my folks would use to sweeten their coffee. They were tiny, not big tablets, more like round little pills. They had an uncanny resemblance to a popular breath mint product.

A common prank was to put some saccharine pills in one of those mint dispensers, walk up to a sibling and asked if they wanted one while putting a real mint in your mouth. They'd take one of the fake mints, put it in their mouth, and half a second later curse you as they ran to the sink to spit it out.
by wongarsu | 2025-04-08 19:25:08+00:00
Both are also decent long-terms bets. Being VR market leader now means they will be VR market-leader with plenty of inhouse talent and IP when the technology matures and the market grows. Being in the AI race, even if they are not leading, means they have in-house talent and technology to be able to react to wherever the market is going with AI. They have one of the biggest messengers and one of the biggest image-posting sites, there is a decent chance AI will become important to them in some not-yet-obvious way.

One of Meta's biggest strengths is Zuckerberg being able to play these kinds of bets. Those bets being great for PR and talent acquisition is the cherry on top
by hintymad | 2025-04-08 19:25:34+00:00
> Employees are encouraged to ship half-baked features and move to another project

Maybe there is more to that. It's been more than a year since Llama 3 was released. That should be enough time for Meta to release something with significantly improvement. Or you mean quarter by quarter the engineers had to show that they were making impact in their perf review, which could be detrimental to the Llama 4 project?

Another thing that puzzles me is that again and again we see that the quality of a model can improve if we have more high-quality data, yet can't Meta manage to secure massive amount of new high-quality data to boost their model performance?
by jwilber | 2025-04-08 19:27:32+00:00
This is a very bizarre take. If you want to just blindly copy and paste d3 code, you may have issues with the docs being hosted on observable. But absolutely zero part of the d3 api (or core design patterns of use) have anything to do with observable.

It’s like saying, “I refuse to use PyTorch because their docs are built with mkdocs.”

Moreover, even if the coupling were limiting (which, again, it is not), it’s odd to attack observable since everything they put out is fully open-source. It’s not like they’re hiding docs behind a paywall, they’re actively contributing to the viz ecosystem through basically everything they release (eg Observable Plot, Observable framework).

As far as echarts goes, it’s a great tool. The declarative syntax for charting always feels a bit odd, but it’s easy enough to wrap into component libraries. AFAIK it still powers many of the big BI viz tools used today (eg AWS Quicksight).
by froh | 2025-04-08 19:27:35+00:00
in a nutshell a mainframe is a cloud in a box for high throughput workloads which need crypto and tpu accelerators.

mainframe pricing usually is not by pound of iron but per cpu cycle. unless you say nah I'm buying the thing, not just cycles. soyou have a choice of cloud pricing or hardware pricing.

for significant pure Linux workloads that need an own on premise cloud the TCO pricing is surprisingly competitive with any home grown solution.

even if you don't _need_ an own on premise cloud, AWS and similar donate come for free and there may be a break even there, too.

that said, legacy host software, Delphi, cics, Oracle, DB/2, cobol etc, you named it, yes that's a different story, with all the extra software licensing.

but a pure Linux mainframe is surprisingly competitive not just in compute and throughput but also in pricing.

plus you get quite some high availability in silicon. think ECC on the ALU, hot stand by spare CPU, multipath everything, if your business depends on uptime your system architecture becomes much simpler on highly dependable hardware.

so that spreadsheet compares own people and software construction vs IBM tax in some columns.

lol I start sounding like an IBM sales person https://www.ibm.com/products/integrated-facility-for-linux

I just did Linux on Z for a while and I loved it, so please bear my enthusiasm :-D
by throwup238 | 2025-04-08 19:27:44+00:00
> Which is kind of odd. 100% of the House is up for re-election; only 1/3 of the Senate is. I would expect the House to be fracturing more than the Senate.

The senators all have to battle state wide campaigns that are much more competitive than most safe house seats, which tends to have a moderating influence. Their campaigns are also a lot more expensive so they have to answer to a greater number and diversity of donors, while being less afraid of a more extreme primary challenger.
by milesvp | 2025-04-08 19:27:47+00:00
There is a class of problems I no longer use search for. I find LLM’s give really good results for things like command line usage. Or even things like configuring an application. Basically anything that can summarize lots of disperate sources.

Conversely it’s a huge mistake to rely on LLMs for anything that requires authoritative content. It’s not good at appropriately discounting low quality sources in my experience. Google can have a similar problem, but I find it easier to find good sources there first for many topics.

Where LLMs really replace modern google is for topics you only kind of think should exist. Google used to show some pretty tenuously related links by the time you got to page 5 results and there you might find terms that bring you closer to what you’re looking for. Google simply doesn’t do that anymore. So for me, one of the joys is being able to explore topics in a way I haven’t been able to for over a decade
by jsnell | 2025-04-08 19:28:54+00:00
> Each step (though a little confusing to parse) does make sense in context.

The proposed intermediate answers don't make sense, and they're the actual puzzle. You must answer all the intermediates correctly, you can't skip levels.

The following ones clearly aren't correct (I think, I hadn't actually done that puzzle):

["the of nowhere"] -> middle; the model gets that right, but garbles the answer due to not correctly extracting the clue and having trailing garbage

[your [middle] one can get you grounded] -> finger; "room" as suggested by model makes no sense

[two-dimensional [finger] puppet projected on a wall] -> shadow; the model gets this right, but only by ignoring the clue completely, which means the justification is nonsense

[dial ([shadow]-based clock)] -> sun; the model says sundial, which then forces it to make an inane "a sundial represents the sun" argument at the next level.

[[red] spandex halloween costume, maybe] -> devil; the model doesn't give an answer word at all for this, but just says that "a red spandex costume is not a pitchfork"
by kstrauser | 2025-04-08 19:29:35+00:00
My home NAS in the other room could hold about 350 million C64 floppies. I've sometimes wondered how that compares to the world's floppy disk manufacturing capacity in 1982.

I also appreciate that my Internet connection is about 33 million times faster than my first modem. It'd take me over a year to download what I can slurp in about 1 second now, even if I could afford the 7 thousand floppies it'd take to store it.

Progress, yo.
by perrygeo | 2025-04-08 19:29:39+00:00
Which is objectively a different statement than the headline - it heavily caveats the narrative stated in the headline yet still doesn't backpedal fast enough. It completely ignores the fact that electricity is only 20% of carbon emissions. We need massive amounts of energy for industrial processes that are nowhere near being electrified, even in concept let alone in practice at scale. It's looks distinctly like the data was cherry-picked and manipulated to highlight the easy wins we've accomplished already and to serve the "renewables are winning" narrative.

This is beyond burying the lede. This is an intentionally misleading headline. Holding ourselves accountable to the real goal (reducing CO2) is the only way to succeed - as soon as we start fudging the goalpost and claiming victory, we're no longer doing credible science communication.
by godshatter | 2025-04-08 19:29:47+00:00
I generally use search.brave.com which has an integrative AI Assistant summary. Sometimes the summary does a nice job and other times I just skip it and go find a link that is from somewhere I recognize. If I want to know how to do something, I skip the summary. If I just want to know if something exists or is possible then the summary is sometimes enough. I have no real desire to replace my search engine usage with an LLM.
by jillesvangurp | 2025-04-08 19:29:59+00:00
Of course you have to take that into account. But it doesn't really change the math a lot.

BTW. I was talking about semis, not pickup trucks which is not really a common vehicle class in Europe where I live. People that use vehicles for work tend to use vans and trailers instead.

In any case, diesel engines get a lot of servicing (and unplanned down time) before they reach their 1 million miles. And the engine has many parts that need regular attention & replacing. An electrical motor is basically going to be fine with little to no attention until its end of life. Batteries do degrade depending on the chemistry. But decent LFP batteries are available now with many thousands of cycles before they start degrading. Other than that, the whole drive train just features a lot less moving parts that can break or wear out. Things like brakes, suspension, hydraulics, etc. of course work the same way and still need servicing.

And again, if you are burning > 100K$ fuel per year, replacing the battery once every few years is not that big of a deal in the grand scheme of things. And this wouldn't come as a surprise either if you run a fleet of these things. You'd plan and budget for that to happen.

And it's not like the old batteries are a complete write off. They have a lot of residual value. Even if they are completely dead, which they typically aren't, they would still contain a lot of valuable minerals (like a couple of hundred kilos of lithium), lots of copper, etc.

With battery cost now dipping below 100$/kwh and actually trending towards 50$/kwh, we're talking about component cost of 25-50K$ for a half mwh battery for the manufacturer. The real price would be higher of course (labor, various suppliers taking a cut, electronics and other stuff) but over time that should get closer to the cost price than is the case today. And that cost price will come down further.
by marcusverus | 2025-04-08 19:31:06+00:00
LLMs are like humans. They don't know what you mean, only what you say. They can't tell you what you want to know, they can only answer the question you actually ask! The question you asked is broad and phrased in a way that begs a simplistic answer about the entire brand. Obviously an answer to that question will do a worse job of laying out the relative reliability of current jeep models than would a report which was created to address that specific question.

If you want to know how modern Jeep models stack up against their peers in terms of reliability, try asking GPT that question!
by koakuma-chan | 2025-04-08 19:31:33+00:00
User prompt 1 of 1 - 4/8/2025, 3:30:53 PM: in pid systems, what is proportional on error vs on measurement

GPT-4o mini: In PID (Proportional-Integral-Derivative) control systems, the terms "proportional on error" and "proportional on measurement" refer to how the proportional control action is applied based on the system's error or the measurement of the process variable.

1. *Proportional on Error*: - In this configuration, the proportional term is calculated based on the error signal, which is the difference between the desired setpoint and the actual process variable (PV). - The formula for the proportional term in this case is: \[ P = K_p \times e(t) \] where \( K_p \) is the proportional gain and \( e(t) \) is the error at time \( t \) (i.e., \( e(t) = \text{Setpoint} - \text{PV} \)). - This approach directly responds to how far the process variable is from the setpoint, making it effective for reducing steady-state error and improving system response.

2. *Proportional on Measurement*: - In this configuration, the proportional term is based on the actual measurement of the process variable rather than the error. - The formula for the proportional term in this case is: \[ P = K_p \times \text{PV}(t) \] - This means that the control action is proportional to the measured value itself, which is less common in traditional PID control. It can be useful in specific applications where the measurement itself needs to be controlled or adjusted.

### Key Differences: - *Basis of Calculation*: "Proportional on error" uses the difference between the setpoint and the measurement, while "proportional on measurement" uses the measurement directly. - *Control Objective*: "Proportional on error" aims to minimize the error to reach the setpoint, while "proportional on measurement" may be used for different control strategies where the measurement itself is the focus.

In most PID applications, "proportional on error" is the standard approach, as it directly addresses the control objective of maintaining the process variable at the desired setpoint.
by II2II | 2025-04-08 19:31:47+00:00
Most of my searches still use traditional search engines for two reasons:

- If I am seeking technical information, I would rather get it from the original source. It is often possible to do that with a search. The output from an LLM is not going to be the original source. Even with dealing with secondary sources, it is typically easier to spot red flags in a secondary source than it is with the output of an LLM.

- I often perform image searches. I have no desire for generated images, though I'm not going to object to one if someone else "curated" the outputs of an AI model.

That said, I will use an LLM for things that aren't strictly factual. i.e. I can judge if it is good enough for my needs by simply reading it over.
by t1234s | 2025-04-08 19:31:55+00:00
There was an interview with Eric Schmidt of Google on PBS around 2006 where he describes having multiple results for a search query is a "Bug" and there should be only one answer. It was interesting how OpenAI was first to market with ChatGPT beating out Google in this space. Its also interesting how the current Google CEO was not asked to step down after the flawed initial launch of Gemini.
by cmurf | 2025-04-08 19:32:40+00:00
And by then Republicans and Democrats will be pointing fingers at the incompetency of the government, which then leads to the incompetency of the electorate which half will deny and blame the system being against them, which leads to more finger pointing and inaction.

And voila, democracy sucks, move to monarchy, just like the Vance Thiel Sacks Musk Yarvin fan club want.

We had to get rid of the Congress because it wouldn't take action! We had no choice but to empower a single strong leader who would do what needed to be done!

This is a trap. We're in hybrid warfare. Putin must be chortling Sovietly.
by tudorgirba | 2025-04-08 19:33:22+00:00
Interesting. Let me offer you a different perspective.

Moldable Development is different from Literate Programming in at least two ways: - Literate Programming is focused on a single narrative. In contrast, a system can be seen in many ways. - Literate Programming has a fixed environment, and mixes text and code. In contrast, Moldable Development emphasizes the importance of the tool as an essential artifact through which to explain the system.

While Literate Programming does talk about explaining systems, I find it too limiting. Instead, we start from the observation that figuring systems out to know what to do next is the single most expensive activity in software engineering; thus it's more interesting to regard software engineering as a decision making activity about an ever changing system. This stands in contrast to the pervasive idea of software engineering as a construction activity. Optimizing for decision making leads to a new set of practices that are not an increment compared to what those typical used today.

Glamorous Toolkit looks odd exactly because we optimized for something else that others disregard.
by FirmwareBurner | 2025-04-08 19:33:34+00:00
You're not harming anyone with grooming and pump up your resume to give yourself the best possible chance. Jobs aren't assigned and reserved to people from birth based on fate in order to be something you can steal from them with this. You don't deserve a job just because, you have to compete and interview for it like everyone else, and if you can get it and do the job, then good for you.

If you're better prepared or better at selling yourself at the interview, then you're the one who's gonna get the job. If someone with less/no experience takes your job then maybe you suck at interviewing and need to get better, or maybe the interview process is bad at judging top candidates, but either way it's your responsibility to adapt to the variable interview process and prove yourself versus the other candidates using whichever way you can: work, practice, connections, insider knowledge, cheating, etc. Nothing in life is fair, everyone tries to play their best hand all the time and honesty is not always rewarded, which you'll find out the hard way.

Everyone deserves exactly what they manage get for themselves. That's exactly how meritocracy works. You're not entitled to deserve a job from the start, out of of some holy moral principle. There's no such thing as "I deserve", there's only "I competed, and I won/lost".