>Going back to the specific example: the question is so nonsensical on its face that the only logical conclusion is that the asker is taking the piss out of you.
I would dispute that that matters in 99.9% of scenarios.
>The person you're asking doesn't understand the link between your question and the help you're trying to offer.
Sure I, get that and I do always explain why I need to know something but it does add delays to the process (either before or after I ask). When I'm on the receiving end of a support call I answer the questions I'm asked (and provide supplementary information if I think they might need it).
Agreed. I'm over here working on Quake 2 mods and reverse engineering Off world trading company so I can finish an open source server for it using AI.
Thing is I worked manually on both of these a lot before I even touched Claude on them so I basically was able to hit my wishlist items that I don't have time to deal with these days but have the logic figured out already.
This is a great description of something I've been thinking about in terms of "regression to the mean" and "median filtering" - the space of LLM output is much smaller than that of the input, precisely because the LLM works so hard to extract minimal-information patterns from its input.
So no, their target is people who marginally care about privacy and security but don't want to use iOS. I don't think they target any particular demographic but I see security engineers and activists among users.
And it's not only security - simple stuff like USB data off unless the phone is unlocked, native call recording, much enhanced user profiles (to separate data mining apps like Uber or Instagram from your financial affairs), etc.
And yes, it's about reducing the attack vector. On most other handsets you'll get most of the fixes 6 months or a year later. At best.
I got better results with N=100, and the time and frames bars at the top in the middle. It reach the equilibrium in ~5 seconds, so it's easy to test and compare the different potentials. #ResearchInTheTikTokEra :)
With z^20, the problem is that when you change the number of particles, the ones are distributed randomly and the ones near the corners have a huge gradient and probably overflow and the inifinites/nans are viral and kill all the other particles. The trick is to switch to z^2, change N wait a moment and then change to z^20. Perhaps you can clip some values or try some trick like in stiff equations.
In 3D, I expected a z^2 potencial with a 1/z^2 force to generate an uniform distribution, for something something Gauss. (It's just bad hand-waving, I didn't have anything close to a proof.) It's interesting that it is so easy.
In Theory There Is No Difference Between Theory and Practice, While In Practice There Is.
In large projects, having a specific AGENTS.md makes the difference between the agent spending half of its context window searching for the right commands, navigating the repo, understanding what is what, etc., and being extremely useful. The larger the repository, the more things it needs to be aware of and the more important the AGENTS.md is. At least that's what I have observed in practice.
>for a phrase that dates back a 100 years before WW2
Yeah, and then you genocide people of unwanted nationalities and smear it forever.
Swastika dates back much further, but still wearing it today tells you quite a lot about the Ukrainian "heroes" with such tattoos:
"Des saluts nazis, des croix gammées, des emblèmes de la SS… La cellule d’enquête vidéo du Monde en a identifié plusieurs centaines, arborés par des centaines de soldats ukrainiens sur les réseaux sociaux. Parmi les 350 soldats repérés, 200 membres de la 3e brigade d’assaut, l’une des unités fer de lance de l’armée ukrainienne."[0]
>such an educated, so organised rural youth
Your point? Nazis were educated and organized too.
The bankruptcy courst are likely to see that as an unreasonable contract terms and call it void. See a lawyer for what they really can do of course but contract terms have to be reasonable.
That's the difference between trusted computing (Linux distribution) and untrusted computing (Android).
If you want something backed by objective data, my phone has an advertising ID and my laptop doesn't. My phone had 100s of privacy scandals and my laptop doesn't have one.
It's not just sports team, different philosophies create different results.
Very welcome and useful initiative. I deeply hate the fact that it's a next.js app (these apps simply should not be an option for the web unless HTML has somehow disappeared without a trace and humanity can't remember that it has ever existed) and not an HTML site with some JS where needed / useful. I suppose I understand the appeal and the convenience from a development point of view.
Open-sourcing the code is commendable and I'm happy to see this.
> Do you know of any additional countries public donation datasets that are actually machine-readable (CSV/JSON/API)?
I don't know if the Altair 8800 would count as my first home computer, as I was too young to really understand what it was and mostly just liked to play with the paper tape feed on the Teletype attached to it. By the time we got the PET 2001, I was old enough to actually use it as intended.
The plate is pretty trivial to fake though. For one thing you can just remove it, but it's trivial to alter with just spray paint. Or using an outdated plate, or someone else's plate, etc. it's identifying sort of how an phone number is supposed to be identifying: nominal, but not secure and trivially abused for fraud
Mods made asking questions a very hostile experience since they had a flawed ideal of SO becoming some form of encyclopedia. So no wonder people jumped on another train as quickly as possible, especially since it so often was a mistake to close a question whose next best answer was a long deprecated solution.
It still has some corners where people are better, but this is mostly the smaller niches.
I get why you feel this way. There's this weird thing happening online where AI hype accounts dog pile on any hint of the beginning of a trend and will beat on it until the next trend comes around. They will make up claims and create endless content in the format that they discovered is effective.
This makes it really difficult to understand what's real and what's hype. It feels like everything that's trending is BS because of the obvious boosting and exaggeration.
But there are real, noteworthy things that are happening and they get mixed in with a lot of BS.
Coding agents being massive amplifiers of skilled developers productivity is not hype. There are countless 10s or maybe 100s of thousands of developers who have built things that they simply wouldn't have been able to do a few years ago. It doesn't matter what that MITRE study says if you've built something with your own hands that wouldn't have existed without AI.
Bringing the same coding agents to regular people on WhatsApp and Telegram, and connecting it with enough apps and data sources so it can do valuable work is a massive unlock of value. There is massive hype around it, but underneath all the hype there is something big and real. I am getting immense value from this. I recommend that you put your skepticism on hold for a short time and give it a real try. Real is key. If you go in trying to prove your skepticism right, you will be able to do that. But if you approach with curiosity you'll undoubtedly discover ways you can start extracting value from it
As long as it is based on AOSP, it is at the mercy of Google to release source code and updates. Given recent trends, I wouldn't be surprised if Google stops shipping Android source completely.
So initially my thought was "why would this be better than existing infill patterns" but my second thought was that the reason Miura-ori patterns are interesting in the first place is because they fold. Not in this application so much, but in general, the way they flex is why they're interesting. The upshot here is that if you embedded that sort of pattern in a closed box, the degrees of freedom would try to transfer the force of a vertical load on the top to a horizontal stress in the outer shell of the base, in both x and y. A bit like a spherical dome.
I'm not sure that it's better than a dome; it might be for cases where you can't predict where on the top surface the load is going to be? I'm also not sure that a sheet of printed infill is sufficiently similar in its physical properties to a sheet of paper/card for this to transfer well, but it would be an interesting experiment to do.
It seems that it’s useful if it’s better than what you would have done yourself.
Although the poster had a bus company business plan that includes actuarial analysis in his head and some spreadsheets so that bar appears to be sufficiently high.
If you think AI as the whole discipline, there are very useful applications indeed, generally in pattern recognition and regulation space. I'm aware a lot of small projects which rely on AI to monitor ecosystems, systems or used as nice regulatory mechanisms. Also, same systems can be used for genuine security applications (civilian, non-lethal, legal and ethical).
If we are talking generative AI, again from my experience, things get a bit blurry. You can use smaller models to dig data you own.
I personally used LLMs, twice up to this day. In each case it was after very long research sessions without any answers. In one, it gave me exactly one reference, and I followed that reference and learnt what I was looking for. In the second case, it gave me a couple of pointers, which I'm going to follow myself again.
So, generative AI is not that useful for me, uses way too much resources, and industry leading models are well, unethical to begin with.
