Readit Newsalex77456 commented on Games run faster on SteamOS than Windows 11, Ars testing finds arstechnica.com/gaming/20... · Posted by u/_JamesA_
> Besides, it's a cat and mouse game where the vendor is the mouse.
The goal of anti-cheat isn't to stop the world's most advanced cheaters. Those are already unstoppable because they now use Direct Memory Access over the PCI-E bus, so the cheats don't even run on the same computer anymore. However since those cheaters are few and far in-between they can be handled through player reports.
The goal is to stop the mediocre cheater who simply downloaded a known cheat from a cheating forum. If you don't stop those you'll get such a large wave of cheaters that you can't keep up with banning them quickly enough.
DMA hardware and cheats are getting more and more accessible. It's not just chosen few anymore
alex77456 commented on Tiny Undervalued Hardware Companions (2024) vermaden.wordpress.com/20... · Posted by u/zdw
link to product please.
A noname version of this from a local store
https://www.stanleytools.com/product/stst14114/22-compartmen...
alex77456 commented on Tiny Undervalued Hardware Companions (2024) vermaden.wordpress.com/20... · Posted by u/zdw
I love having so many little daptery-doos. My best hack is storing them though. I have a two tier desk, 24" deep main surface, and 10" monitor 'shelf'. I keep a half dozen tiny adhesive drawers under the shelf so they're always at hand.
One for flash storage + usb dongles, another with every usb adapter + short cables, audio things + usb power meters, pens, and other stuff. It is so nice being able to quickly use almost any device without a scavenger hunt first.
I have been using stackable hardware/diy organiser compartment boxes for this purpose. It's great
alex77456 commented on Why JPEGs still rule the web (2024) spectrum.ieee.org/jpeg-im... · Posted by u/purpleko
I'm surprised some multi-encoder container format didn't take over by now, seeing as there is no one size fits all clear winner so far.
If we're nitpicking, are we talking about cycling as a sport or cycling as a means for getting from point A to point B?
I'm sure cultures where they cycle to everywhere all the time take it easier than cultures where going out for a bike ride is an event.
Not nitpicking, just playing along with the analogy, which i found not that far fetched
> Cycling has been shown time & again to be a great way to increase fitness.
Compared to sitting on your butt in a car or public transport.
Perhaps not compared to walking everywhere and chasing the antelope you want to cook for lunch.
I think what he meant is that both bicycles and LLMs are a force multiplier and you still provide the core of the work, but not all of the work any more.
Cycling, in my experience, is usually way more intense than walking or even running/jogging. It just lets you cover larger distance and gives you more control over how your energy is used.
With the example of LLMs, sure, you could cycle the initial destination you were meant to walk to - write an article with its help, save a few hours and call it a day. Or you could cycle further and use the saved time to work on something a text model can't help you well with.
The discussion here about "cognitive debt" is spot on, but I fear it might be too conservative. We're not just talking about forgetting a skill like a language or losing spatial memory from using GPS. We're talking about the systematic, irreversible atrophy of the neural pathways responsible for integrated reasoning.
The core danger isn't the "debt" itself, which implies it can be repaid through practice. The real danger is crossing a "cognitive tipping point". This is the threshold where so much executive function, synthesis, and argumentation has been offloaded to an external system (like an LLM) that the biological brain, in its ruthless efficiency, not only prunes the unused connections but loses the meta-ability to rebuild them.
Our biological wetware is a use-it-or-lose-it system without version control. When a complex cognitive function atrophies, the "source code" is corrupted. There's no git revert for a collapsed neural network that once supported deep, structured thought.
This HN thread is focused on essay writing. But scale this up. We are running a massive, uncontrolled experiment in outsourcing our collective cognition. The long-term outcome isn't just a society of people who are less skilled, but a society of people who are structurally incapable of the kind of thinking that built our world.
So the question isn't just "how do we avoid cognitive debt?". The real, terrifying question is: "What kind of container do we need for our minds when the biological one proves to be so ruthlessly, and perhaps irreversibly, self-optimizing for laziness?"
It's up to everyone to decide what to use LLMs for. For high friction / low throughput (eg, online research using inferieor search tools) tasks, i find text models to be great. To ask about what you don't know, to skip the 'tedious part' (I don't feel like looking for answers, especially troubleshooting arcane technical issues among pages of forums or social media, makes me smarter in any way whatsoever, especially that the information usually needs to be verified and taken with a grain of salt).
StackExchange, the way it was meant to be initially, would be way more valuable over text models. But in reality people are imperfect and carry all sorts of cognitive biases and baggage, while a LLM won't close your question as 'too broad' right after it gets upvotes and user interaction.
On the other hand, I still find LLM writing on the subjects familiar to me, vastly inferior. Whenever I try to write a say, email with its help, I end up spending just as much time either editing the prompt to keep it on track, or rewriting it significantly after. I'd rather write it on my own with my own flow, than proofread/peer review a text model.
One we can play AAA games I am literally ditching windows forever. Steamos is the best thing that has happened to gaming