skysight-inc/HackerNews huggingface dataset:
Norton's dome is not a valid paradox, it just exploits in an overly complicated way the fact that almost no handbook of physics bothers to present a complete set of axioms for the classical mechanics (and even less for relativistic or quantum mechanics). So the "paradox" is based on the sloppy teaching of physics from a mathematical point of view.

The form of the Norton's dome does not matter. The so-called paradox is just a random example of the fact that there exist multiple functions of a variable that have in the origin the same values for the function and for the first 2 derivatives, e.g. various pairs of polynomials of the 4th order.

Therefore if you accept any function of time as describing a possible motion, you can always find motions that at some moment in time have the same position, velocity and acceleration.

This is not an example of indeterminacy in classic mechanics, because one of the axioms of the classic mechanics is that all the forces that exist in nature are such that the state of a mechanical system is completely determined by the positions, velocities and accelerations of its components (in other words, a mechanical system must be described by a system of differential equations of the second degree that has a unique solution).

There is no difficulty of imagining other kinds of forces, for which this assumption is not true, but a theory where such forces exist is no longer the Newtonian mechanics, in the same way as any geometry where Euclid's axiom of parallels is not true is no longer an Euclidean geometry.

If Newtonian mechanics were a correct model for the World, a ball would remain forever on the top of the dome, without ever falling. In reality, even assuming the validity of Newtonian mechanics, the main reason why any attempt to test this experimentally would fail is the thermal motion, due to which a ball can never be at rest, so it would always start immediately to fall in a random direction.

The violation of the axioms is why the so-called different solutions are not solutions within Newtonian mechanics.

On the other hand the argument that the initial state could be obtained by launching the ball towards the top, and then time reversal would demonstrate a valid solution, it is also wrong, because the so-called solution cannot be obtained by time reversal.

If the ball is launched with only enough energy to reach the top, so it will come to rest, then it requires an infinite time to reach the top. Reversing the time means that the ball will remain on the top for an infinite time, without falling, as expected.
You're right, people do have the right to block whatever they want. But it's just shitty that someone else made the call, and now presumably many people are impacted. There's no recourse.
https://archive.ph/Km95w
Show HN: HackerBuzz an cross-platform HN client built using React Native
Hello There,
<p>I want to show you guys and get your feedback for my Hacker News client built using React Native.</p>
<p>This maybe a yet another Hacker News client, but there was an inspiration behind building HackerBuzz, and it was <a href="https://github.com/simonhalvdansson/Harmonic-HN">Harmonic-HN by Simon Halvdansson</a>, I saw this app and instantly fell in love with its workings and functionality, and wanted to build something like this by myself, hence started working on HackerBuzz</p>
<p>Both code and app might not be perfect and could have problems(that I would love feedback on), but I'm feeling good to show my work to you.</p>
<p>Here is the repo: <a href="https://github.com/ajshrmaofficial/HackerBuzz">https://githu..., and apk is also available at release section.</p>
<p>Start the repo if you like it, feel free to give suggestions.</p>
<p>Thank you all ;)</p>
We have something similar in Central Europe, covering Germany, Austria, Switzerland, Benelux and Italy for many years now. The tolino https://mytolino.com/ works similar that bookstores get a cut of the sales.
Unless the FPGA is smaller than the 1ChipMSX, it could load the uMSX and go up to MSX2+. Certainly enough for a SymbOS environment.

I'm curious, however, how it manages disks. MSX-DOS didn't have support for subdirectories, so I'm assuming a lot of different hard disk and floppy images would end up being visible.

My MP/M emulated Altair Docker image has 8 1MB floppies and 2 5MB hard disks. And, of course, no subdirectories (unless you count USER areas).
I agree that you should do this

but I also completely get why people don't

It's just SUCH AN ARTIFICIALLY STUPID process, basically actively engineering the technology to work worse than "by default." As in, it's literally more difficult to do this lending thing than to just dump the books on the device and have them all there forever with their essentially infinite storage space.
If the entire world's electric supply isn't decarbonised at that point then that money would be better spent on deploying renewables somewhere without a 100% clean grid as the article says or electrifying heat or industry.

That has issues with proving the deployment actually displaces carbon but carbon capture has similar issues proving that the carbon is actually permanently removed.
These are very basic and I'm not so sure how helpful unless you're interested in the history of Linux/Unix.

Author does get the registry wrong -- it can be modified via PoSh and even browsed like any other directory structure thanks to the built-in PSProvider. Most apps today use config files anyhow, just like any other Unix distribution.

Arguably operating on text via your shell of choice can be very complicated, very confusing especially if you're not familiar with sed, awk and the like, versus operating on an object with properties and methods easily discoverable via 'gm' (or Get-Help).

It's all down to philosophy, and NT is anti-Unix by design, for better or for worse. Use both, learn both.
If a company uses free software in building their product, how does the law apply here. Does the liability fall on the commercial use or the original provider?

Or what if the open source library itself is provided by a company. Let’s say Intel’s IPMI library has a vulnerability that affects Dell servers and causes a breach at a bank in Paris.
1. Some blogs are better than most books.

2. Some carefully-written ebooks now are self-published, and I don't care if their cover design and promotion campaign aren't as professional.
Ya we are sick and addicted.

Not only do I need the above 4, I need a separate browser because YouTube breaks with Firefox, private tabs to not taint my preferences when I watch one-ofs, and other addons such as a channel and video blocker.
> i’ve had this exact conversation with my 70+ still working father so many times now.

> but then i explain to him how i do remote work and suddenly gets it.

I don’t understand how he gets it if you have to have the same conversation numerous times.
Communication is a two way street, and the fact that people heard “inject bleach” means that’s what Trump communicated. That we are arguing about this years later proves the point. You can say that’s not what he meant, but that’s what he communicated. He had experts there that day who are eloquent and have precise command over the science and the English language, unlike him. He chose to sideline them because his ego wanted attention, so he confused the nation at a time we were in need of clarity. He played no role except to make everything worse. His absence would have been the best thing he could have done for everyone that day. Failure of leadership at a critical juncture.
I understood your joke, but we just found out a few hours ago what happened in Hamburg, and while neither of these features made it yet, they're seemingly going in opposite directions:

pattern matching had a poll in forwarding to the CWG, and it was mostly in favor, though enough were against it to not reach consensus

profiles had a poll in forwarding to the CWG, and it was split down the line in terms of for/against.

Given the previous votes on profiles being nearly unanimously for, I'm interested to see what people have to say about what went on.
> The Nintendo switch 2 is right around the corner and looks like it is going to sell extremely well, after the massive success of the switch 1

Just like the Wii U sold extremely well after the massive success of the Wii.
Cars are far less dangerous for occupants than 2 wheeled vehicles.
Agreed and there's also the problem that on Bluesky, one user blocking another means that the thread of conversation gets broken for everyone else who may read it.

See e.g. https://github.com/bluesky-social/social-app/issues/7021

> As it stands, if 20 people are involved in a discussion, and ONE single person decides to block someone, then all of a sudden, the 19 other people in the discussion (+ any other viewers) are now inconvenienced simply because one person had an issue with someone else.

> Bluesky does have a bit of a block culture, and as such, this issue is only going to get worse and worse, and threads are going to get harder and harder to read and follow as more and more people get blocked.

Trying to create a Reddit-like experience around this limitation would be very difficult, as the thread breakage is done server-side so the clients don't even get enough info to reconstruct the conversation.
I wonder if they're going to assert it against games like World of Final Fantasy which had people throwing capture... cubes.
It's also ignoring the apparent purpose of the study: It appears to have been designed to make the case for removing copper from brake pads. Only one type of copper-containing brake pads was actually worse than exhaust, and that is also the type with the worst braking performance. Even the other types of pads they tested also contained copper and the copper was the main source of the pollution. But there are already brake pads with low or no copper in them.
That's beside the point, we all know that one terrible engineer who is just incredibly productive and completely lacks any self-critical instincts. With LLMs this type of output becomes much more easy to produce, so what are you going to do if you're asked to review 10x the amount of code that you're reviewing right now?
Even if it is not for profit (or especially so), the point of any publication is not just to get people to know something—you at least want people to read what you wrote and appreciate you for this.

Using Web normally, with search and all, is well-behaved in this regard, but using attribution-stripping technology isn’t.

If your readers don’t know you exist and you don’t know who your readers are or if they even exist, you basically become a ghost writer, content producer for LLMs (and in many cases some commercial LLM operator also makes money off your work, too).
I honestly don't understand the meme with RPi clusters. For a little more money than 4 RPi 5's, you can find on eBay a 1U Dell server with a 32 core Epyc CPU and 64 GB memory. This gives you at least an order of magnitude more performance.

If people want to talk about Beowulf clusters in their homelab, they should at least be running compute nodes with a shoestring budget FDR Infiniband network, running Slurm+Lustre or k8s+OpenStack+Ceph or some other goodness. Spare me this doesnt-even-scale-linearly-to-four-slowass-nodes BS.
BTW You can extend cursor out with new knowledge and the svelte community has a config file you can throw at cursor that'll add svelte 5 support.
> I think this is missing out on the big issue

These are two distinct issues. Tyre pollution is threatening the wastewater but at least in urban areas where the most pollution occurs thanks to stop'n'go can be counteracted by expanding water treatment (we have to do so anyway to get rid of pharmaceuticals).

Brake dust however is a massive threat for anyone living near a highly congested road.
All MSX games I had came in cartridges. Only the erm... "alternative" ones came in tapes. Or floppies later.

Most MSX2 machines had built-in floppies and the software made for them tended to depend on them.
Cars on roads are like 10% of all vehicle emissions. Most comes from vehicles not on roads, like industrial, farming and mining vehicles.

Of those emissions, the emissions from tires and brakes have the most impact.

But it is imperative that you should buy an EV and charge it with electricity from the power grid, and then take a destination trip that involves burning a giant amount of jet fuel.

There is no logic.
Carbon has a few other molecules it likes to bind to, but narrowing it down to what is actually abundant limits you to basically oxygen, hydrogen and carbon. of those, two of them are what we burned, and one of them is our problem.

Someone else pointed out, though, that you can burn hydrocarbon (carbon and hydrogen chains, aka methane and oil) and turn it into coal (carbon-carbon).
Exact opposite - k8s allows developers to actually tailor containers/pods/deployments themselves, instead opening tickets to have it configured on VM by platform team.

Of course there are simpler container runtimes, but they have issues with scale, cost, features or transparency of operation. Of course they can be good fit if you're willing to give up one or more of these.
Some measures can be taken such as reducing urban speed limits to something like 20mph and increasing traffic enforcement so that riders/drivers have an incentive to take sufficient care.

There's also the possibility of creating separated infrastructure to allow the smaller/lighter vehicle riders (e.g. two/three wheelers) to not have to tangle with car and lorry drivers. However that requires political will and infrastructure investment.
> Once the dust settles and you have an initial user base, you can start looking into optimizations.

But people never do. Instead they just scale up, get more funding, rinse and repeat. It isn't until the bill gets silly that anyone bothers to consider it, and they usually then discover that no one knows how to optimize things other than code (maybe – I've worked with many devs who have no idea how to profile their code, which is horrifying).
It doesn't even scale linearly to 4 nodes. It's slower than a five year old gaming computer. There is definitely a hard limit on performance to be had from this approach.
Obviously not going to reply to everybody, but many people here got confused thinking that the LLM two million input tokens is analogous to their brain long-term memory. This is not true. The LLM two million input tokens is more like your brain "working memory," and your brain long-term memory is more like the LLM training data.

I do agree with you that LLMs get "confused," failing to follow constraints. This is also my experience. But, the reason for this phenomena is the lack of emphasis on your constraints.

For example, when working with stable diffusion, you can manipulate the weight of parts of your prompt. Say, you wanted to generate an image, and you really wanted there to be a dog, you could prompt: "a clear sky under the moonlight, (dog:1.5)," and this case the model would give the "dog" part would be 1.5x more important to the model then the rest of the prompt. Not sure why there is no such feature for LLMs (it could be, just that I'm not aware).

I looked at your prompt history with the German article, and I can see that the reason it fails is that you prompt incorrectly. When you want to give certain information or context to the LLM, say, your codebase, or some documentation, or some article, you gotta put it first in your prompt, and at the very bottom you should put your instructions. This apparently makes it easier for the LLM to parse your request.

Also, generally, LLMs will not give you a response longer than a few thousand tokens, so what you should do is: ask it to translate it section by section, and keep asking "Translate the next section," until it translates all of them. I was able to translate your article this way using Gemini, not sure how accurate it is though.
California homeowners to fund half of high-risk insurer's $1B 'bailout'
The strengths and weaknesses of the algorithmic niche that artificial NNs are in hasn't changed a bit since a decade ago. They are still bad at anything I'd want to actually use them for that you'd imagine actual AI would be good at. The only thing that has changed is people's perception. LLMs found a market fit, but if you notice, compared to last decade where we had Deepmind and OpenAI competing at actual AI in games like Go and Starcraft, they've pretty much given up on that in favor on hyping text predictors. For anybody in the field, it should be an obvious bubble.

Underneath it all, there is some hope that an innovation might come about to keep the wave going, and indeed, a new branch of ML being discovered could revolutionize AI and actually be worthy of the hype that LLMs have now, but that has nothing to do with the LLM craze.

It's cool that we have them, and I also appreciate what Stable Diffusion has brought to the world, but in terms of how much LLMs influenced me, they only shorted the time it takes for me to read the documentation.

I don't think that machines cannot be more intelligent than humans. I don't think that the fact that they use linear algebra and mathematical functions makes the computers inferior to humans. I just think that the current algorithms suck. I want better algos so we can have actual AI instead of this trash.
Unless it boots from a floppy image - then it goes into MSX-DOS.

I think. It's been a very long time.
Well, Deepseek trained them?
These articles are helpful, but ultimately worthless, without a list of names tied to each action.
Paywalls would be a lot more impactful to average users than anything that happened on Twitter or Reddit before.
(9) A whole lot of geopolitical nonsense is caused by oil related entanglements. I won’t list them all because it would become a partisan bickering match, but surely whatever anybody’s political alignment, they can find a socialist, or theocratic, or authoritarian country that’s propped up by oil funding. Or a war partially motivated by oil. What’s the cost of bad international relations? How much of our defense budget should we bill to oil companies?
Is Trading small caps stock more difficult?
The patented game mechanic I am most bummed won’t be appearing in other games is Death Stranding’s desire pathing. Having other players in an open word “wear” paths into the map was extremely cool.
My teams velocity increased when we started doing hybrid instead of full remote. Of course thats not proof of anything as our jira points arent objective but it definitely lines up with feeling more productive. We were pretty async while remote. I dont think remote without productivity loss is impossible, but you need very skilled managers and most companies dont have those.
The Tesla Model 3 Long Range weighs 1823 kg.

The BMW M340i xDrive weighs about 1818 kg.

Seeing as these two cars are similar in size, capacity, and performance (0-60 mph in 4.2 s), it is nice to see that the electric option weighs about the same as an ICE car of similar specs.
That's comparing apples to oranges though. Renewables are to stop emitting CO2, carbon capture to try and recover the one we've been emitting in the past decades. We need both, the latter possibly in the shape of organic capture since it's way more efficient and cheap.
It took some clicking but in its footer is "BookFinder.com is an independent subsidiary of AbeBooks" and then https://www.abebooks.com/about/#:~:text=we're%20a%20subsidia...
> Things like "obviousness" and "prior art" can be hard to judge unless you're a patent lawyer... or a judge.

Yea, examiners will grant patents that might have no chance in court. So what tends to matter more is not whether someone has a patent, but whether it was successfully used in court.
HN has more restrictions on downvotes. For instance, I don't even have that button.
My advice is never use conventions for personal/solo projects - they do not matter.

When it comes to working in teams I actually do recommend them because during a code review you can - at a glance - read what each commit has done so you can familiarise yourself with the steps the developer took to reach the state in the PR.

For small teams I'm a big proponent of slimmed down version of Conventional Commits' standard. At our startup we would only really use these types: fix/feat/chore/docs/refactor/revert/ci/test.

Something simple like:

fix(ControlPanel): popover animation no longer causes layout shifts

is perfect
Water treatment is a bit late for the river environments as the rain washes pollutants into them.
The Great Green Wall project is in fact reducing desertification.

https://en.m.wikipedia.org/wiki/Great_Green_Wall_(Africa)
The TDP of 4 PIs combined is still smaller than a larger server, which is probably the whole point of such an experiment?
I read all entries about Rebecca last night after reading this one. It is such a visceral and devastating chronicle expressed in a beautiful way, it left me deeply moved.

I wonder how he felt after writing those words. I wonder if that beautiful ability to write what he feels so that many can feel a tiny glimpse of what he felt, helps to keep moving forward, even if a little bit.
I despise planning. I put it off until the last minute and usually have no plans as a result. I’m mostly okay with that, but could see AI planning filling that gap for me and would make it easier for me to schedule more complex trips across multiple countries.
What makes math problems hard for reinforcement learning: a case study
Isn't cylinder deactivation for when you are at constant speed at low throttle?
The problem with climate change and wildfires is a moral risk.

If climate change can be blamed, it means bad management of forests is not the problem, so there is no need to spend money and effort on it.

In fact, anything that raises the risk should mean that you put more effort into better management.

The other problem is that the models are extremely complex and there are limits on the data available for back testing. Its similar to the problems with economic modelling, rather than those typical in say physics. We also do not have enough planets or time to test hypotheses!
Flickr Photo Album for Rebecca Alison Meyer

https://www.flickr.com/photos/meyerweb/albums/72157645061445...

warning - the comments for the last page of photos - so heartbreaking.
"Natural" isn't really the main thing. Whether you make something synthetically or extract it from a plant doesn't tell you if it's toxic or not. There are plenty of non-toxic synthetic substances and toxic plants. And synthetic things are usually cheaper to make.

What we need is less toxic synthetics.
I find 100tps unlikely, I see 13tps on an 80GB A100 for a 70B 4bit quantized model.

Can you link - I am answering an email on monday where this info would be very useful!
If you loved darcs, check out Pijul. They solved the exponential problem with first-class conflicts.

Disclaimer: I am making a competitor to Pijul, but Pijul really is the spiritual successor to darcs.
Forget the US – Europe has successfully put tariffs on itself
Show HN: Make fullstack web app bi AI Agent with structured requirements
Hi Hacker News, I know that you guys mostly technical person but I want to share my startup MVP to you if you can test it and give me your valuable feedback.

I try to build Software Development AI Agents for Non-technical startup founders who want their MVP fast with affordable solutions. So I build Genesoft to allow user put their web application requirements and Genesoft AI Agent will working on fullstack web application for them.

Genesoft different from similar product in the market, it focus on structured requiremnts to get input from customer because I think in the long running project structured requirments may help improvement better that conversation based AI Agent that can lead to AI Agent confusion and misunderstanding if context is too large.

By the way, I'm still looking for technical co-founder who able to help me develop software development AI Agent system to automate software development tasks as much as possible for non-technical startup founder.
https://archive.is/gzMPE