MurphyA/hacker-news huggingface dataset:
by eddd-ddde | 2025-04-08 19:47:04+00:00
It's just a different kind of data. Even without LLMs, sometimes I want a tutorial, sometimes I want the raw API specification.

For some cases I absolutely prefer an LLM, like discoverability of certain language features or toolkits. But for the details, I'll just google the documentation site (for the new terms that the LLM just taught me about) and then read the actual docs.
by DigitallyFidget | 2025-04-08 19:47:05+00:00
I use a variety of mostly search engines that get me an answer much faster. Google/Bing frequently point to sites/articles written by AI anyway. Using a LLM directly often gives too much garbage and doesn't often stick to just answering my question, so it becomes as useless as a modern google search. I prefer old style searching of just using key words and refining my query opposed to having it (miss)interpreted.
by dartharva | 2025-04-08 19:48:04+00:00
> Lenat personally did not release the source code of his PhD project or EURISKO, remained unimpressed with open source, and disliked academia as much as academia disliked him. Most open information concerning Cyc had been deliberately removed circa 2015, at the moment when Cycorp pivoted to commercial applications.

Makes one wonder how much a research being open makes a difference in its real-world success in the current age. Cyc's competitors (LLMs etc.) arguably have a lot to attribute to open public participation for its successes. Perhaps things would have been difference had Lenat been more open with the project?
by dttze | 2025-04-08 19:49:12+00:00
>Ah, there it is, “Western chauvinism,” the all-purpose dismissal when you’ve got no real counterargument. You’re not engaging with what I said, you’re just performing indignation.

Gotta call a spade a spade sometimes, sorry bud.

>Yes, I’ve seen videos, read books, listened to defectors, and followed reports from Amnesty, the UN, and others. You? You’re just here to sneer at the idea that anyone outside North Korea could possibly know anything. That’s not humility, it’s nihilism in a moral disguise.

This isn't even an argument. You read things? Wow, me too. I read NK is awesome. They are trying to sustain their nation. Your repeating of biased western propaganda uncritically is the nihilism.

> You say I “know nothing” about North Korea. Maybe not everything. But I know enough to not reflexively defend a regime that starves its people while building monuments to a cult of personality. If that makes you uncomfortable, good.

I never even defended them. Just pointed out your ignorance and racism. Cheers. Nice edit btw.
by petpictureai | 2025-04-08 19:49:15+00:00
Out of curiosity (and boredom), I trained an AI on photos of my dog to see what would happen. I ended up creating a site—PetPicture AI—that turns your pet into stylized characters like astronauts, knights, pirates, etc.

It started as a side project, but people have actually started using it for gifts, memorial portraits, and just for fun. The AI model gets fine-tuned on your specific pet, so the results are surprisingly personal.

It raised a few interesting questions for me:

What other applications are out there for quick, personalized AI models like this?

Where’s the line between novelty and meaningful customization?

Would love to hear your thoughts—especially around the tech, ethics, or product potential.
by bruce511 | 2025-04-08 19:49:26+00:00
Frankly pausing seems like a prudent move. Tarrifs work best when they are long-term, which promotes local industry to provide alternatives.

There's certainly a perception, real or not, that T could change his mind at any moment. So US makers won't be ramping up production anytime soon.

Of course local prices will also rise to match foreign imports. Plus lots of imported parts are necessary. So yeah, prices will go up.

Lots of silver linings here though. Fewer car sales in the US is a good thing for climate issues. And a focus on fewer cars may lead to city planning improvements as well.

Plus, cheaper cars for the rest of us as supply outstrips demand for a while.
by nikolay_sivko | 2025-04-08 19:49:54+00:00
In addition to raw logs, Coroot can extract recurring patterns to generate log-based metrics [1].

We also plan to convert structured logs into OpenTelemetry attributes [2].

[1] https://demo.coroot.com/p/tbuzvelk/applications/default:Depl... [2] https://github.com/coroot/coroot/issues/490
by ASalazarMX | 2025-04-08 19:50:07+00:00
Despite their awful UX, I'm always impressed with how reliable their service is, technically speaking. Video is always good and responsive even on less-than-stellar connections, you can leave a show paused for hours, and resume it almost instantly. Their fast.com speed test is always much faster than your regular internet access, I guess thanks to their Open Connect Appliances.

It must be great to work for them in infrastructure and backends.
by NooneAtAll3 | 2025-04-08 19:50:15+00:00
if anyone wants a "human" solution

1) there are 4 questions that everyone answered the same way (let's say this earned everyone A points)

2) in the rest of the questions, 7-point and 5-point students gave opposite answers

that means that 7-A (rest of 7-point student's correct answers) equals to 5-(4-A) (rest of 5-point student's incorrect answers)

7-A = 1+A => A=3

That means 3-point student scored 3 points together with everyone else, and answered rest of the questions wrong

From this it's trivial to find the hidden score and why there are 4 possible answer keys
by star-glider | 2025-04-08 19:50:39+00:00
This isn't effective at a large org, but if you're running a small company/startup, just have an engineer "help out" with support every so often. We'd ask devs to run the support desk when the person was on vacation and also had a general rotation through.

It's good for building customer empathy but also for helping the people who build the product understand how it's used. The intuition you build up from those experiences is very powerful.

Also, about two hours into handling support tickets for the same issue, 99% of devs will just fix the problem. So you create a very elegant incentive structure for bugfixing that circumvents a lot of the traditional structural issues.

Of course you can't do this in a big company, which is one of the structural disadvantages that come with size.
by coldpie | 2025-04-08 19:52:20+00:00
How do I know the LLM isn't lying to me? AIs lie all the time, it's impossible for me to trust them. I'd rather just go to the actual source and decide whether to trust it. Odds are pretty good that a programming language's homepage is not lying to me about the language; and I have my trust level for various news sites already calibrated. AIs are garbage-in garbage-out, and a whole boatload of garbage goes into them.
by renegat0x0 | 2025-04-08 19:54:20+00:00
I use mixture of solutions for Web browsing

- I use RSS to see 'what's new', and to search it. My RSS client support search

- I maintain list of domains, so when I want to find particular place I check my list of domains (I can search domain title, description, etc.). I have 1 million of domains [0]

- If I want more precise information I try to google it

- I also may ask chatgpt

So in fact I am not using one tool to find information. I use many tools, and often narrowing it down to tools that most likely will have the answer.

[0] https://github.com/rumca-js/Internet-Places-Database
by Adachi91 | 2025-04-08 19:54:29+00:00
Pretty trivial, I built a browser scanner for my phone using a QR scanner library[1], while browsers are contemplating adding an API natively.[2] You would just need to use a lookup service for the UPN of the game title.

[1]: https://github.com/mebjas/html5-qrcode [2]: https://developer.mozilla.org/en-US/docs/Web/API/Barcode_Det...
by jfengel | 2025-04-08 19:54:43+00:00
Just for curiosity:

I remember when the book Dow 36,000 came out in 1999. The DJIA was around 10,000.

https://en.wikipedia.org/wiki/Dow_36,000

It finally reached that number in November 2021. It peaked at 45,000 in December 2024.

And now we're headed back to 36,000 -- probably tomorrow.
by tudorgirba | 2025-04-08 19:55:07+00:00
Thanks for taking the time to provide this detailed feedback!

I agree that the message is not yet clear for most. We can see it in these threads quite well. Now, this is not the first one we are trying, and we will continue to try further :).

The sentence you provide is certainly interesting because it is relatable. The problem is that it talks about a fraction of what we want to convey.

At this point in time, as we do not know how to convey the idea succinctly, we are looking for people that will take the time to look at the more elaborate explanations. It turns out that there exist such people. It seems to me that you might be inclined to look at it, too.

Please do let me know if you do. I would offer to show you around. And who knows, perhaps you can contribute a better presentation for what this is. What do you think?
by ethbr1 | 2025-04-08 19:55:17+00:00
This is the biggest argument in favor of subscription-based funding models for search I've heard. (Kagi et al.)

Ad-sponsored models are going to be dead as soon as people realize they can't trust output.

And because the entire benefit to LLM search is the convenience of removing a human-in-the-loop step (scanning the search results), there won't be a clear insertion/distinction point for ads without poisoning the entire output.
by ChrisMarshallNY | 2025-04-08 19:55:22+00:00
Also, there's what is termed "The Silurian Hypothesis[0]," which is a thought experiment about whether or not there was an advanced civilization of dinosaurs (in particular, theropods). Since birds came from theropods, it's not so far off.

I read that bird brains have a high neural density (lots of neurons, packed tight). That's why they can be so smart, with such small brains.

[0] https://en.wikipedia.org/wiki/Silurian_hypothesis
by aljarry | 2025-04-08 19:55:45+00:00
Github Actions Runner code is pretty easy to read, here's a specific place that define default arguments for popular shells / binaries: https://github.com/actions/runner/blob/main/src/Runner.Worke..., it is exported through a method ScriptHandlerHelpers.GetScriptArgumentsFormat.

In ScriptHandler.cs there's all the code for preparing process environment, arguments, etc. but specifically here's actual code to start the process:

https://github.com/actions/runner/blob/main/src/Runner.Worke...

Overall I was positively surprised at simplicity of this code. It's very procedural, it handles a ton of edge cases, but it seems to be easy to understand and debug.
by DrillShopper | 2025-04-08 19:56:34+00:00
They will be less accessible initially to poor people, but if the laptop actually does last 20 years then there will be a lot more on the used market therefore driving down the cost when someone buys a used one. That is the avenue most people who can't afford a new one will likely go.

It makes it more expensive to be on the cutting edge and turning over your laptop once every couple of years, but it makes the used purchases cheaper.
by 00N8 | 2025-04-08 19:56:46+00:00
You'd get better energy density that way, but I think it's offset by worse efficiency & more damage to the engine. The inert gas fraction (N2, CO2, H2O) provides a useful working fluid to convert combustion heat to force pushing on the piston. Burning pure O2 would mean a lot more heat is needed for the same amount of force. Higher peak temperatures & more available oxygen will tend to create hotspots & knock/pre-detonation, & possibly erosion of the cylinder wall & piston from directly burning the metal.

Using nitrous or cool compressed air keeps most of the benefits while mitigating the problems of using pure O2.
by ender341341 | 2025-04-08 19:56:54+00:00
> Some say certain alcoholic drinks are good for you (in moderation), some say no amount of alcohol is good.

From what I've read it seems likely that any amount of alcohol is bad for you, most of the studies that show moderate as good for you make the mistake of only have 'sober', 'moderate' & 'heavy' drinking, but if you look at the 'sober' folks there's a heavy mix of "I don't drink because I'm in recovery" or other health issues, so if you instead of 'sober by choice', 'sober by recovery/health issues', 'moderate' & 'heavy drinker' the benefit of moderation reverses to being worse than 'sober by choice'.

Almost any "this bad for you thing is actually good for you in moderation" basically seem to come down to:

People who can do common addictive things in moderation tend to also be good at moderating other bad factors too.
by ChuckMcM | 2025-04-08 19:57:10+00:00
I had the funny thought that this is exactly what a sentient AI would write "stop looking here, there is nothing to see, move along." :-)

I (like vannevar apparently) didn't feel Cyc was going anywhere useful, there were ideas there, but not coherent enough to form a credible basis for even a hypothesis of how a system could be constructed that would embody them.

I was pretty impressed by McCarthy's blocks world demo, later he and a student formalized some of the rules for creating 'context'[1] for AI to operate within, I continue to think that will be crucial to solving some of the mess that LLMs create.

For example, the early failures of LLMs suggesting that you could make salad crunchy by adding rocks was a classic context failure, data from the context of 'humor' and data from the context of 'recipes' intertwined. Because existing models have no context during training, there is nothing in the model that 'tunes' the output based on context. And you get rocks in your salad.

[1] https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&d...
by keybored | 2025-04-08 19:57:24+00:00
I would not with the snap of a finger revert back to a time centuries ago when I have spent all my life up until now learning to live in the current one. No. Just like a tribal Papua New Guinean would not want to, with the snap of the finger, become one of the vice presidents in the American Psycho movie. He wouldn’t know what to do with himself.

Beyond that I don’t know what there is to say about our so-called democratizing technologies when the discussion gets reduced to—and never goes beyond—those very slogans about them being democratizing. Yes. We are now free to repeat the same slogans that everyone else repeats.
by infecto | 2025-04-08 19:57:31+00:00
Thank you for finally bringing your silly antics to a conclusion. Sorry I don’t appreciate NK like you do but since you have no counterpoints and simply should trust you instead of reports from various NGOs and the UN you have run out of steam.

The racist card is boring and over used. Build a backbone and a real opinion.

We have decades of reports regarding NK please go elsewhere with your conspiracies.
by worik | 2025-04-08 19:58:19+00:00
My use of Stackoverflow is the main casualty of LLMs

I used to use DDG for syntax problems (so many programming languages....) and it usually sent me to SO.

Now I use DeepSeek. Much friendlier, I can ask it stupid questions without getting shut down by the wankers on SO. Very good

I still use DDG to interface with current events and/or history. For history DDG is primarily, not only, an interface to Wikipedia
by profstasiak | 2025-04-08 19:59:02+00:00
Take a look at the map of Free Trade Agreements of EU and USA.

https://en.wikipedia.org/wiki/Free_trade_agreements_of_the_U... https://en.wikipedia.org/wiki/Free_trade_agreements_of_the_E...

I might be wrong and biased, but maybe EU gains the most from this US vs world trade war?
by devilbunny | 2025-04-08 19:59:03+00:00
It's a pretty common way for companies to go through bankruptcy. If the courts can identify a viable business inside the company, where the main problem is debt that it can't feasibly pay, they will allow it to proceed with business while cancelling the debt. Since the alternative is having the whole thing go under, without much chance of creditors being made whole, there is a benefit to society: some of the people keep their jobs.
by TheOtherHobbes | 2025-04-08 19:59:24+00:00
This assumes no upstart will create a game changing innovation which upends everything.

Companies become complacent and confused when they get too big. Employees become trapped in a maze of performative careerism, and customer focus and a realistic understanding of threats from potential competitors both disappear.

It's been a consistent pattern since the earliest days of computing.

Nothing coming out of Big Tech at the moment is encouraging me to revise that assumption.
by lamarcke | 2025-04-08 20:00:30+00:00
To be honest, we don't even have a desktop app currently, though we do plan to make one. IMO Playnite is a behemot and it's very hard to overtake it, so maybe the best course of action would be to create a plugin to help sync their library data with ours (?). We both use IGDB data so it shouldn't be too hard. They also have a more robust store sync system going for them.

But feature wise, the main difference is that we're targetting all platforms instead of just PC. You could have GameNode in your phone when you only have a Xbox/PS console for example.

If you have any suggestions on what we may do to set us apart aside from this, please let me know
by watwut | 2025-04-08 20:00:59+00:00
I mean, quite a few companies consider your ability to be cause harm or break law without worry to be an asset. Clear past example is enron, large consultancies, fox news and such. Same with managers like Musk, Thiel and such.

In that world, it will be an advantage.

But in just world, there would be actual investigation. DOGE is in fact breaking laws.
by LegionMammal978 | 2025-04-08 20:01:01+00:00
Average-case complexity can be a fickle beast. As you say, the simplex algorithm for LP is great in practice, so it's rarely problematic to use. But meanwhile, people also say, "Modern SAT/SMT solvers are great, they can solve huge problems!" Yet when I try using one, I usually run into exponential runtimes very quickly, especially for unsatisfiable instances.

Overall, it's annoying to tell whether an NP-hard problem is always really hard, or if ~all practical instances can be solved with a clever heuristic. It doesn't help that most problems receive little attention (e.g., to find solvable special cases) after being labeled NP-hard.
by AngryData | 2025-04-08 20:01:06+00:00
I would also hypothesize that they need less brain because they need far less sensory input from their skin and body because of their feathers. They can't feel their feathers directly and their feathers protect their skin from abrasion and cuts so their is no point to really good sensory input from most of their skin other than to differentiate feathers for grooming and tell if their feathers are being touched or not. A bird for example is not going to force its way into brambles or thorns that poke their skin or push through brush in search of food like a mammal, they either avoid the thorns completely or have enough feather protecting them to ignore certain types of thorns. If they get into a fight they are relying almost entirely on feathers to protect them and any cuts or abrasions are often fatal.
by profstasiak | 2025-04-08 20:01:09+00:00
Take a look at the map of Free Trade Agreements of EU and USA. https://en.wikipedia.org/wiki/Free_trade_agreements_of_the_U... https://en.wikipedia.org/wiki/Free_trade_agreements_of_the_E...

I might be wrong and biased, but maybe EU gains the most from this US vs world trade war?
by duped | 2025-04-08 20:01:19+00:00
It's super useful to potential hires about the kind of team you're building. Especially if there's some kind of niche you're in (product, tech, region, whatever). There are people who I would climb mountains to work with, and others within a niche whose very presence in a company is enough to steer me away. Another signal for me is the fraction of xooglers in the engineering team.
by jerejacobson | 2025-04-08 20:01:21+00:00
I recently had someone reach out and tell me they liked a Chrome extension that I built. They found it by asking ChatGPT if there was a way to do X on Y, and it recommended my extension to them.

I was very surprised to hear this, and it made me wonder how much of traditional SEO will be bypassed through LLM search results. How do you leverage trying to get ranked by an LLM? Do you just provide real value? Or do you get featured on a platform like Chrome Extensions Store to improve your chances? I don't know, but it is fun to think about.
by ethbr1 | 2025-04-08 20:01:27+00:00
Search is best viewed as a black box to transform {user intention} into {desired information}.

I'm hard pressed to construction an argument where, with widely-accessible LLM/LAM technology, that still looks like:

1. User types in query 2. Search returns hits 3. User selects a hit 4. User looks for information in hit 5. User has information

Summarization and deep-indexing are too powerful and remove the necessity of steps 2-4.

F.ex. with the API example, why doesn't your future IDE directly surface the API (from its documentation)? Or your future search directly summarize exactly the part of the API spec you need?
by tristor | 2025-04-08 20:03:46+00:00
The reason it requires reduction to 11MP and to use the video pipeline instead of the Expeed pipeline is due to sensor readout time. I don't /fully/ understand it, but the sensor readout data on the Rolling Shutter Project shows a Nikon Z8 would max out at ~22fps in full-frame RAW, so no doubt they reduced this to 20fps to give them a margin of error. Reducing to the DX frame size reduces the amount of data required to be read from the sensor, which changes the time it takes to do a readout. The Z8/Z9 are 45MP cameras, so just doing a naive bit of maths, you could expect ~80fps if you applied the same pipeline at the DX frame size, but given that there is already a video pipeline and they needed it to be capable of 120FPS, they already had their answer.
by nottorp | 2025-04-08 20:03:53+00:00
Tbh my problem is not with launchers, I can live with separate launchers, but with having a full list of games I already bought on my phone when i'm digging through the console bargain bins.

At the least I have two copies of Mass Effect Andromeda and two of Valkyria Chronicles because they were very cheap and I forgot I already got them :)
by jimnotgym | 2025-04-08 20:04:07+00:00
The life expectancy in this area is impressive. Middle-aged men:

Mr. Honda (74) apparently expecting to live to 148

Mr. Takeshita (81) about to buy a high-powered motorcycle, perhaps

Mr. Fujii (68) has a new sports coupe and is on very good terms with his secretary, his wife has noticed
by haswell | 2025-04-08 20:05:02+00:00
I don't think my response changes for a colony.

I'm not saying ants/ant colonies don't exhibit intelligent/sophisticated behavior, but we don't have evidence to suggest they understand the higher order consequences associated with where they build their colonies.

For similar reasons, we don't consider it murder when an apex predator kills a human, but we do when it's another human.

> Your hands work on instinct too

The operation of many (if not most) of the systems in our bodies is instinctual and a mystery to us from a 1st person perspective, e.g. we don't actively beat our hearts, digest our food, etc. But continuing the last point, if you used your hands to cause harm to another human, "my hands work on instinct" isn't a reasonable defense. We still have agency and the ability to choose how we use our hands, and we're (generally) aware of the consequences of the actions we facilitate with our hands, even if we aren't directly aware of how our hands function.