skysight-inc/HackerNews huggingface dataset:
Show HN: VibeTankArena – 1 on 1 tank battles
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.
Does US science have a future in Antarctica? Trump cuts threaten fieldwork
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.
At 150MPH, I doubt he’d be alive long enough to care about the gravel rash
These systems are all built to help the bus owners, not the passengers.

Usually you have to go register for a card somewhere. It's just not practical, especially if you're just visiting. I've never seen a place where you could buy a card at a newsstand for a week or something like that.
also, you can do 120fps on your Z8, but it reduces to 11MP, this goes for both Z8 and Z9. It also uses video mode for this, but goes to show sensor readout is not the issue :)
I still use google. However, the most annoying thing i find is the AI generated response. I use google as a translator by adding „dict“ to the search.
I also use the search function on old fashioned forums. It works.
Yesterday i tried Chat GPT on math homework of one of my kids. Result was just crazy wrong. Complete garbage.
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.
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
If LLMs aren't already doing this, they certainly will soon. And it'll be even more insidious and "invisible" than sponsored search results.
Yes, not absolutely illegal, but if an applicant challenges the legality of the test, the burden of proof is on the employer.

https://en.wikipedia.org/wiki/Griggs_v._Duke_Power_Co.
As the data comes from igdb and igdb has a collection feature, is the import from steam/psn the main USP?
The first line is already nonsense. The answer is obviously not "room".

Getting the correct final answer tells you nothing about the reasoning. The LLM will solve the puzzle even if you only pass it the sentence "the [] de Milo is discovered by a Greek []".
You probably wear suits that fit and the confidence probably shows through. Not to stereotype, but I suspect a large number of developers have one or two suits they wear for job interviews, weddings and funerals, and they bought them long enough ago that they are too loose or too snug by now, and consequently feel uncomfortable when wearing them. At least this used to be me.
After a quick glance this looks pretty useful for me. I'm the kind of guy who is willing to change words or sentences (up to a point) to make the overall text look prettier.
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.
Yes, the names and language stats are seen but the integration scope we use doesn't have permission to read the repo source code.
A big Cyc thread about a year ago https://news.ycombinator.com/item?id=40069298
woot, woot, happy for the team. I love tailscale and can't stop singing praises.
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.
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.
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
if you’d put FB on your CV then DOGE is fine too :)
> 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?
Yeah, the keyboard ruins the fun I had playing this. It took 2-3 taps per letter on my phone for keys to register.
Once again, you made broad generalizations based off some videos you saw (who even knows how biased or truthful they were). You know nothing of NK and yet here you are confidently making statements about it and its people.

It is typical western chauvinism and it is embarrassing to read you try to pretend it isn't.
Same here... I use Dvorak and it always takes me a second to reorient (perhaps they wanted to show that you can only use certain characters?).
I've always wondered if other do that... I add "def" to the end of mine for definitions.
You mean like the golden age of speech recognition a couple of years ago when they claimed 80% of computer interfacing will be voice only?
Feature requirements are a subset of product documentation.
According to Brazil's Central bank (and other sources) cash usage is 22%, there is no move whatsoever towards cash.

Source: https://www.bcb.gov.br/content/cedulasemoedas/pesquisabrasil...
I'm very happy with my Kagi subscription. The results get me exactly what I want, and I can easily check the sources and downrank stuff I don't want.

I average around 1400-1600 searches per month.
Keep in mind, extensions can update themselves at any time

GP suggested only installing extensions you can build yourself from source. Most extensions that auto update do so via the Chrome store. If you install an extension from source, that won't happen.
Well, he was one of the producers[1] of the musical Hadestown, which won 8 Tony awards.

[1] https://thebroadwayproducers.com/scott-forstall-2/
Give Cursor access to Rust's type system and tooling
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).
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
> 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.
Under 16 no longer allowed to livestream on Instagram without parental consent
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
"Agentic" is a fad/hype.

Software applications with more intelligent interfaces get us closer to a bicycle for the mind. LLMs are already a part of some of those.
Protecting children from real or perceived threats, temptations, evil things, etc was much easier in the physical world. In the virtual world it's much harder to put up fences.
Relevant?
https://badgeify.app/how-to-fix-mac-menu-bar-icons-disappear...
grok (legal, historical, current events) , perplexity (claude , coding questions), gemini (via fabric / terminal -- coding questions, youtube, URL & book summaries). I only google by accident out of habit. Immediately regret the outcome using google ( spam ads, spammy content marketing, salacious content)
I'm aware of this article, and in particular, this lesson. But I don't think it really applies to what I'm talking about.

What I'm talking about isn't attainable via LLMs as far as I can tell, or at least, LLMs alone.

In other words, AI is not just about LLMs.
Entshittification incoming?
> 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"
Or maybe it could give some kind of extra credit for guessing a clue early. Or it could accept it, but still make you guess the interior clues, but when you get to the one, you already guessed, it shows it as already solved.
Yes it does. The definition of a startup is that it's high-risk and fast growth. If you want slow growth, it's a small business (which is fine), but not a startup.
I don't even think it will be newer studios and that's it, probably well known studios will adopt it after a production ready solution is presented and battle tested, I doubt many will complain about not making in between frames. Probably newer studios with a smaller budget will just test it first.
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.
There's a lovely walk in the UK around Lingmoor Fell which has a famous narrow squeeze between a rock and a cliff face called Fat Man's Agony. There's a good photo about half way down this blog post: https://www.walkmyworld.com/posts/lingmoor-fell-side-pike
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.
You can interpret it however you want. That doesn't mean you'll be interpreting it correctly. Good luck.
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.
Razer pauses direct laptop sales in the US as new tariffs loom
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.
You can run a version of CYC that was released online as opencyc https://github.com/asanchez75/opencyc . This is when a version of the system was posted on source forge and the GitHub has the dataset and the KB and inference engine. Note it has been written in an old version of Java.
It happens with basically all papers on all topics. Benchmarks are useful when they are first introduced and used to measure things that were released before the benchmark. After that their usefulness rapidly declines.
I don't think anyone is stating it is a mystery, just that no one apparently had been willing to comprehensively do the math until now.
Mentioned in other comments, but to be explicit since the title is odd: "Seveneves"
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!
I'm confused, this was created by Webkit, but is currently only available on Chromium based browsers according to : https://caniuse.com/?search=text-wrap%20pretty

How did that happen?
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.
You're welcome! Feel free to share it on social media. I'm currently expanding the project to include SQL lessons.