hatedbad

a surprisingly disappointing article from ars, i expect better from them.

the author appears to be confusing “relay attacks” with “cloning” and doesn’t really explain the flow of the attach that well.

really this just sounds like a complicated MitM attack, using the victim’s phone as the “middle” component between the victim’s physical card and the attacker’s rooted phone.

the whole “cloning the UID attack” at the end of the article is irrelevant, NFC payment cards don’t work like that.

Microsoft creates secure boot: “we should be able to run whatever we want on our hardware!”

Microsoft lets users install crowdstrike on their computer: “Microsoft shouldn’t let us run this on our hardware!”

if sanders was in first and biden fifth, how were the ones that dropped out losing?

and how many of those that dropped out ended up with some sort of position of power under biden?

you’re also willfully ignoring the fact that the dnc purposefully kept in person voting going during the height of the pandemic

Adam Smith himself has admitted to this shit: https://jacobin.com/2024/07/joe-biden-bernie-sanders-democrats-2020-primary-trump

that’s not at all what is being said here. the DNC had to pull all sorts of undemocratic shenanigans to forcefully prop up biden back in 2020 and we’re still paying the price of having these uninspiring losers as our only options

from your own link, that’s only because she’s the least bipartisan dem in the senate.

govtrack’s “left-right ideology” ranking is flawed, it doesn’t look at the content of the bills at all. in govtrack’s own words the ideology ranking “may be measuring something else, perhaps something more closely related to partisan-ness”.

20 years? more like 5

start with basics:

• install iperf on every device you can between an external device and your internal host(s) and use it to find any bottlenecks
• use tools like tcpdump to analyze packets flowing over the network. you can often find surprising results this way
• start with a simple test best (again, iperf) with the most simple config (no nginx etc) and add the complexity of your config bit by bit until the issue returns

if this is your first time doing a big trip together, honestly, forget about it being prefect. it won’t be, and that’s ok. trips don’t need to be perfect to be meaningful, in fact, i’ve found the opposite to be true. the more wild and unexpected the adventure is, the more memorable and important it becomes to me.

so I’d say it’s best to keep an idea of things you’d like to see or do, but also be flexible and willing to adapt. traveling with someone that forces everyone to stick to a rigid itinerary is never fun and is a good way to ruin the trip. all it takes is one lost bag or one missed train to throw all your careful planning out the window. better to roll with the punches than self destruct when that happens.

just a guess, but in order for an LLM to generate or draw anything it needs source material in the form of training data. For copyrighted characters this would mean OpenAI would be willingly feeding their LLM copyrighted images which would likely open them up to legal action.

yeah silly me for supporting artists with my money but also downloading drm-free copies of things so I can actually exercise a semblance of ownership. but sure, keelhaul me so you can keep your sense of smug superiority.

AI is a tool that is fundamentally based on the concept of theft and plagiarism. The LLM training data comes from artists and creators that did not consent to their work being plagiarized by a hallucinating machine.

it literally explains what they’re for in the product listing:

These labels aid your warehouse operations.

• Categorize inventory, reorder points, product dating or special instructions.

• Apply these labels to pallets, boxes and shelves for easy identification.

• Easy to write on.