@eapl.me@eapl.me@eapl.me@eapl.me Done! 👌

@sorenpeter@darch.dk Textual.

@movq@www.uninformativ.de LOL fuck no, so not interested 🤣

da fuq?! Haven’t seen this kind of shit™ on IRC since the good ‘ol days of AustNet (now dead right?) when IRC was way more popular than it is today 🤣

#IRC #Porn

@funbreaker@we.loveprivacy.club Nice to see new folks every now and again join other instances in the network of pods that exist in Yarn.social 🤣 – Which are ultimately part of the (still) growing Twtxt ecosystem.

@bender@twtxt.net Hahahaha 🤣

@doesnm@doesnm.p.psf.lt it has always supported WebMentions – Juat not quite the same implementing as Timeline.

@movq@www.uninformativ.de Haha 🤣

@funbreaker@we.loveprivacy.club Welxome to Yarn.social 👋

Secret To AI Profitability Is Hiring a Lot More Doctorates

Umm no! It’s figuring out how to build an auto-complete that doesn’t require a nuclear power plant! Oh wait 🤔 we did that like 50 years ago already 🤦‍♂️

@bender@twtxt.net interesting 🤔

@aelaraji@aelaraji.com Thanks! 🙇‍♂️

@bender@twtxt.net Fareek that’s nice!!! 😱

@aelaraji@aelaraji.com Can you walk me through your testing process here and share example links etc? 🙏

@sorenpeter@darch.dk@darch.dk Nice! 👍

@movq@www.uninformativ.de That’s really disappointing 😢 Even before so-called “AI” (Artificial Incompetence) became “more of a thing” I was always astounded at how quick some of the solutions were coming out! 🤣

Over the holiday break I was looking at one of my old projects, µLinux. Turns out I did a fine job realy and have decided to revive the project 🥳 – Just getting the build/tests woring on my Mac Studio (Apple Silicon). Check it out! 👌

#µLinux

Was just catching up on all the LinkedIN garbage that is well umm garbage 🗑️ One was from a candidate I interviewed, so I had to reply to that 😅 – Anyway…. Saw this random post in my “notifications”:

How do land that job with a Unicorn

First off, you’ll have to define what da fuq a “Unicorn” is! 🤣 My understanding a Unicorn is a mythical creature with a horn on its head and wings 🪽 🤦‍♂️

@bender@twtxt.net Already planning on going back to the same place again next year 🤣

Poo holiday is over 😢

@bender@twtxt.net I reviewed my solution and it’s pretty much spot on! 🤣 the order of magnitude performance is anywhere between 1-10ms

@bender@twtxt.net I currently use the mixstral and codeastral models. Both open source and run just fine on my personal machines.

Bye bye Angsana! See you again next year hopefully 🤞

@bender@twtxt.net are one of my assumptions off?

@sorenpeter@darch.dk@darch.dk It is actually allowed though 🤣

http://ko.wikipedia.org/wiki/%EC%9C%84%ED%82%A4%EB%B0%B1%EA%B3%BC:%EB%8C%80%EB%AC%B8

@johanbove@johanbove.info You are also welcome to use and/or borrow from twtxt2html 👌

• Page size 1MB
  
• Median 50 pages per query
  
• 80% pages cached
  
• 200us SSD reads
  
• 100us Memory reads
  
• Query time:
  
  • (50x0.80x100)+(50x0.20x200)‎ = 6,000
    
  • 6000us
    
  • 6ms

PhD level science questions? (+1)
niftydude an hour ago
A PhD level science question is a question that can only be answered by scientific research and experimentation.

And no, by “research”, I do not mean googling.

Literally the whole point of a scientific PhD is to perform experiments and study to answer a specific research question that no one has looked into yet.

Whilst ChatGPT can probably can answer “PhD-level science questions” with the same generation of plausible bullshit it answers all questions, I very much doubt ChatGPT can answer PhD-level science questions with any sort of accuracy.

It can’t do that without performing experiments (that in some cases might be complex enough to last years).

Just more of the marketing BS silicon valley seems to be full of these days. Remember when California was actually making products that benefited society as well as making money?

@johanbove@johanbove.info Congrats! 🥳 I think it’s only 4 years for me 😅

@lyse@lyse.isobeef.org Haha! No! Golf biggie 🤣

Nice view from up on the mountain side 😎

I like to think of it like this. It takes approximately five months of power, relatively speaking to power, the human brain vs. multiple megawatts hell even multiple gigawatts of power to power even some of the most modest and yet surprisingly complex AI models.

There is something about human intelligence that we don’t quite yet understand, and it isn’t in the complexity or increasing the number of parameters to the order of billions 🤣

In other words, I don’t think we can realistically even come close to emulating, emotion, depth, and creativity

@movq@www.uninformativ.de This random comment from another Slashdot article pretry much sums up my view on so-called “AI”:

Elevator music
Tony Isaac 20 minutes ago
If you derive your income from producing “elevator music” you might indeed be in danger of losing that income to AI. Also, bumper music–music used to fill otherwise silent gaps between segments of a podcast or radio show–might be a candidate for AI takeover.
But if you produce real music–music with depth and emotion–your job isn’t going anywhere.
How can I be so sure? I’ve seen the kind of code AI writes. I’ve seen the kind of prose AI writes. Both are amazing, for something computer-generated. But neither would be mistaken for the work of someone skilled or proficient in the art. Music won’t be any different.

@slashdot@feeds.twtxt.net da fuq?! Already?! 😱 Who’s pumping this shit?! 🤯

@slashdot@feeds.twtxt.net why are so many banging on against Bruce Perens in the comments of this Slashdot article? 🤔 what has he done?

@bender@twtxt.net Ahh yeah that’ll do it 🤣 I couldn’t find a reason for the martial law myself 🤦‍♂️

@bender@twtxt.net What do you mean?

@movq@www.uninformativ.de there is no appeal.

@bender@twtxt.net Facing impeachment over what?

Today we got to explore the Imperial City of Hue amongst other places.

What the hell is happening in South Korea?

Problem 2: Your SSD-backed database has a usage-pattern that rewards you with a 80% page-cache hit-rate (i.e. 80% of disk reads are served directly out of memory instead of going to the SSD). The median is 50 distinct disk pages for a query to gather its query results (e.g. InnoDB pages in MySQL). What is the expected average query time from your database?

Share your solution via Twtxt and how you arrived at it and I’ll share my solution tomorrow!

#napkin-math

@skinshafi@thunix.net That would be cool! Lemme know how that goes!

Or https://git.mills.io/prologic/static

https://pkg.go.dev/go.mills.io/static

@bender@twtxt.net zs integrates my static server yes 👌

Btw, zs supports CGI

@aelaraji@aelaraji.com Ok 👌