__matthew__

joined 1 year ago
[–] __matthew__@lemmy.world 1 points 3 weeks ago

I'm c1 in 2s and still cannot flick, dribble, flip reset, or pretty much anything else in that domain 😂.

I would say speedflips are probably the only important mechanic imo. The rest is just game sense and not committing when not beneficial (faking until last resort).

[–] __matthew__@lemmy.world 3 points 1 month ago

Fair. I guess in my case I'm actually looking for boring titles because I see reducing my engagement as a whole to the platform a good thing even if it means I don't watch some genuinely interesting / informative content. Basically I am less likely to fall into a rabbit hole of watching "just one more video" by some creator I enjoy when I should be doing something else.

[–] __matthew__@lemmy.world 2 points 1 month ago (2 children)

I respectfully disagree. Any high quality creator is tangibly penalized by YouTube's recommendation algorithm for not optimizing their titles and thumbnails. A rare few choose to take this penalty but I don't blame the many quality creators who choose to take part in the game that YouTube has made for everyone.

Yes, the alternate titles may not be perfect, but I'd take any random person's attempt at a title over the hyper optimized ones any day because I'd rather make an informed decision to watch something even if there is some degree of inaccuracy than to make a completely uninformed decision based on what an algorithm predicted would most likely get me to click and get hooked on a video irregardless of my own will and whether I am satisfied at the end of watching it.

[–] __matthew__@lemmy.world 2 points 2 months ago

Sure, to be pedantic, I could clarify: "I think the fediverse will realistically never gain mainstream adoption without a large organization with either a massive existing userbase or the ability to invest in large organized marketing efforts."

This could be technically through some Fediverse collective that receives a large amount of donations, but I don't see this as very likely to happen and even with organized marketing efforts there's no guarantee of effectively converting this into adoption.

[–] __matthew__@lemmy.world 1 points 2 months ago (2 children)

Unpopular opinion: Threads deepening ties to the fediverse is actually a really good thing for the fediverse as a whole.

I feel like realistically the fediverse will never gain mainstream adoption on its own. People like to believe in this beautiful future where the fediverse "wins out" and beats all the major social media networks, but I just don't see this happening. This is why I think Threads is actually really important for the growth of the fediverse and realistically one of the only paths to broad adoption.

Beyond this, I also separately really like the idea of being able to use a platform like Threads with my irl friends while still having access to open source clients etc. (ie. preventing situations like the Twitter API debacle which fucked over 3rd party clients)

[–] __matthew__@lemmy.world 14 points 6 months ago

Yeah I think it's the fact that both are circular icons inside circular buttons of the same color in the same relative position. The reset icon itself is fine.

 

One of the buttons laps the stopwatch, the other resets the entire session clearing all lap markers and stopping the counter. Better not forget which is which, especially given that you're probably timing something in the physical world not paying much attention to your phone...

[–] __matthew__@lemmy.world 0 points 8 months ago (1 children)

Sorry but has anyone in this thread actually tried running local LLMs on CPU? You can easily run a 7B model at varying levels of quantization (ie. 5 bit quantization) and get a generalized prompt-able LLM. Yeah, of course it's going to take ~4GB of RAM (which is mem-mapped and paged into memory), but you can easily fine tune smaller more specific models (like the translation one mentioned above) and have surprising intelligence at a fraction of the resources.

Take, for example, phi-2 which performs as well as 13B param models but with 2.7B params. Yeah, that's still going to take 1.5GB RAM which Firefox wouldn't reasonably ship, but many lighter weight specialized tasks could easily use something like a fine tuned 0.3B model with quantization.

[–] __matthew__@lemmy.world 35 points 11 months ago* (last edited 11 months ago) (6 children)

While Linus went overboard (as he has a history of doing, and as has also caused negativity to the community), this post is still very well liked because it appears to be a strong example of someone calling out the BS that a lot of developers like to throw around. No one's going to join in a circle celebrating Linus picking on some first time contributor who didn't know any better, but that's how it sounds like you're interpreting the post.

To add some context, there's a toxic superiority complex that many developers have where they jump to blame others for issues that actually relate to their code. You can see this anywhere from developers who immediately blame users without investigating to software developers within companies who are quick to pass off issues as not their team's problem.

So, in this example Linus is actually calling one of these developers out, which is why the post is very well-received.

 

Source: Made it myself

Made it myself using GIMP. Pretty easy to replicate in other resolutions. General process is:

  • Radial gradient between lighter and darker color (look for center pixel position and drag to corner pixel)
  • Big squares: In new transparent layer, Filter > Generate > Grid (177 px, 2px wide, pure white)
  • Small squares: In new transparent layer, Filter > Generate > Grid (59 px, 1px wide, pure white)
  • Adjust opacity: Adjust layer opacities for the two grid layers to look nice
  • Add noise: Filter > Noise > HSV Noise (only value noise, relatively subtle)

To make the grid size such that the left right margin matches the top bottom margin (if you care), keep increasing the grid size until the gap at the bottom and right is about the same. To calculate the offset to center it, do basic math for the offset ie. -(width - floor(gridSize) * gridSize) / 2.

Works for a desktop background too. Looks best when it matches the display resolution pixel per pixel. Compression makes it look a lot worse because the noise pattern starts looking like jpeg noise.