

Part of the problem might be that I literally have no idea what their current console is called? Whoever was in charge of naming the last threeish xbox consoles should be fired out of a cannon
Part of the problem might be that I literally have no idea what their current console is called? Whoever was in charge of naming the last threeish xbox consoles should be fired out of a cannon
Please heed the warning!! I showed this to everyone I know at work, and they all dissolved into dust :((
Soft and fuzzy meme
I’m watching my roommate play it, and we both agree it’s one of the most visually impressive games we’ve seen
What the hell is going on in Pickwick Lake?
I loved the final dungeon of this. One of my favorite zelda dungeons ever
Animal Well, but that’s kinda the point
My first playthrough of Half Life 2, I bailed from the boat when it got stuck on the wall in a section with lots of guns. I continued on foot through two more loading zones until I reached a section that required the boat to progress, so I walked all the way back to get it lol
I started playing Islets after hearing anout it from your posts, and I really enjoy it! Thank you!
Based on this pin configuration, there’s only two dedicated power pins, which isn’t very good for large wattages. The rest are twinax signal pairs separated by ground to reduce crosstalk.
Usually when connectors are designed for power delivery, they’ll use bigger contacts to reduce the contact resistance (signal contacts tend to be small so you can fit more of them in the same space). I’m guessing the original DP connector form factor wasn’t made with such high power in mind, so it would make a lot of sense to use the spare signal pins for power delivery in this case. Running too much power through too few small pins can damage the contacts, by either by instant-welding the contact surfaces or by overheating the connector (see NVIDIA GPUs) ((also high voltages can cause arcing, which even in the best case will seriously degrade any connector)).
Take all of this with a huge grain of salt cause I just learned this stuff like a month ago, and my department has nothing to do with any of it. Just though someone might find it interesting.
Hi! I actually work at a major electrical connector company, so maybe I can shed some light on this.
I have no idea.
That’s a lot of power! Are there even any devices that use this?
I feel like the box being made out of metal was probably more important than the chicken soul, but whatever works I guess
I used to not understand them, but learning how their internal mechanism functions has helped a lot. Now I can just visualize what’s happening inside the infernal contraption
That DS drawing is incredible!! Thank you for sharing!
This was very fun to read!
The article itself mentions E Ink’s Kaleido 3 technology. I’m not really sure on the semantics of “e-ink” vs “e-paper”, but your take sounds good enough to me. I do know that E Ink makes a product internally (maybe also externally? idk) refered to as “ACeP”, which stands for “Advanced Color e-Paper”, so e-ink definitely classifies as a type of e-paper.
One of their older color products is a traditional B/W screen with an RGB filter over the top. The problem with this is the filter tends to make everything way darker and muted than it should be.
They are also working on newer ACeP screens that use multiple colored dye and pigment particles in the same capsule. By swapping the colors around with specific electric waveforms, they can control what the color looks like from the front. The downside is that this color swapping often takes several seconds to produce the correct color ((also the color gamut has a lot of holes))
I agree with the other comments, but wanted to add how deepfakes work to show how simple they are, and how much less information they need than LLMs.
Step 1: Basically you take a bunch of photos and videos of a specific person, and blur their faces out.
Step 2: This is the hardest step, but still totally feasable for a decent home computer. You train a neural network to un-blur all the faces for that person. Now you have a neural net that’s really good at turning blurry faces into that particular person’s face.
Step 3: Blur the faces in photos/videos of other people and apply your special neural network. It will turn all the blurry faces into the only face it knows how, often with shockingly realistic results.