Dang. I guess I’m more disconnected from the average consumer than I thought. My 48" has felt like plenty for even a good size living room for a while, and I’m used to 32" monitors and 7" phones, so it’s not like I prefer smaller screens. I had to go and fact check that 65" being the most popular. If you had asked me beforehand, I would have thought 55" was pushing it.
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I’d add that “requirement” is relative. My city’s bus system has stops near enough to cover my home and work, so you could say a car is not required for the route. However, using the bus system would turn my 20 minute (10 minutes one way) daily commute into 3 hours. That’s just too impractical to consider.
Yeah, it’s actually been kind of a relief to have fewer new games to look forward to every year. I have a backlog of something like 700 unplayed games already in my library. I know I’m not going to play them all as much as they deserve before I die, but being able to make a much bigger dent in them is nice.
Mostly agreed. For me the actual biggest problem here is Nvidia presenting this as the assumed default experience everyone obviously wants and using a heavily genericized face as a win. The tech needs to be much more energy efficient and configurable on both the developer and end-user side before I’ll give it any serious attention.
Regarding future versions of this tech, I think “death of the author” still applies to video games, so changing artistic intent isn’t always bad, especially for games that get frequently replayed. I certainly don’t play stock Skyrim or Minecraft anymore. To use your example, yes, a photorealistic (attempt of) Ocarina of Time would probably be too off-putting, but give me style options like BotW, Spiderverse, Pixar, anime, etc.? I’d be down to try those.
So, I actually like generative AI (disclaimer I feel I have to include every time: local open models only), and my main problem with that image is how genericized the new face is. If you’ve seen a lot of AI images, it’s immediately recognizable as the default mixed Asian/Caucasian face you get when not prompting something more specific than “woman” due to the datasets dominating the training data. It heavily implies all faces will be similarly genericized.
I don’t think this tech will be viable unless creators can give the AI a reference image of what a character should look like when photorealistic, and that’s just going to increase the workload of running this in realtime.
Not really my thing actually. I usually just want a song to be faster with no pitch change. If that’s your thing though, I’ve not listened to a ton, and I’m open to recommendations to convert me.
Everyone loves Technology Connections. Also, watching Alec rant about Christmas tree lights every year is tradition now.
It grades you by how much you reduce the pool of possible answers with each guess. The total pool of Wordle words is somewhere around 2300, so to finish in 4 guesses, each guess needs to average removing 85% of the pool, something like 2300 > 345 > 52 > 8 > 1.
Side note: This is related to why I refuse to play hard mode. Sure it’s technically more difficult, but it removes a huge strategic element of the game.
Let’s say you have _OUND where _ could be any of BFHMPRSW. In hard mode, you just have to guess one at a time and hope you get lucky. In normal mode, you can guess something like BRUSH or WHOMP and knock 4 words out of the pool at once.
Here’s my game today using this strategy for guess 2:
Wordle 1,727 3/6
🟩🟨⬛⬛🟨 ⬛⬛🟨⬛⬛ 🟩🟩🟩🟩🟩