@lyse 24km, you’ve got to be kidding me. 🤣
@lyse 24km, you’ve got to be kidding me. 🤣
@lyse 24km, you’ve got to be kidding me. 🤣
This is the album I'm most proud of have having made.
Accepting pre-orders now!
kokori's rootkit CD
Vota a cualquiera menos a los que matan animales. ⌘ Read more****
Lupinshttps://lyse.isobeef.org/waldspaziergang-2023-05-28/
There's a lot of promising research-grade work being done right now to produce models that can be run on a human-scale (not data-center-scale) computing setup. I suspect those will become more commonly deployed in the next few years.
There's a lot of promising research-grade work being done right now to produce models that can be run on a human-scale (not data-center-scale) computing setup. I suspect those will become more commonly deployed in the next few years.
> Right, especially not if it’s “cloud storage”.
Errrr, what I meant here: It’s not useful if “the cloud” manages the key. You know, those little check boxes at Google or Azure, “encrypt this storage and generate a key for me” …
> Right, especially not if it’s “cloud storage”.
Errrr, what I meant here: It’s not useful if “the cloud” manages the key. You know, those little check boxes at Google or Azure, “encrypt this storage and generate a key for me” …
> Right, especially not if it’s “cloud storage”.
Errrr, what I meant here: It’s not useful if “the cloud” manages the key. You know, those little check boxes at Google or Azure, “encrypt this storage and generate a key for me” …
#running
didn't pay attention to the watch and just ran a comfortable pace whatever that may be. weather was hazy with fog and a constant light rain which kept the 100% humidity at bay. went down to the beach and then took that up to the turn around point i did a year or two ago. quite a few jellyfish washed up on the shore and not a lot of people out. but listening to the waves while running was soothing as usual. didn't push mileage since i wanted to still feel good enough for my daughter's birthday.
#running
#running
#running
https://github.com/seibert-media/automatix
You put the “commands” in a YAML file. It’s Python and deals a lot with our corner cases. 🥴 Not sure if you want to use it as it is.
(Personally, I’d remove the YAML stuff altogether.)
https://github.com/seibert-media/automatix
You put the “commands” in a YAML file. It’s Python and deals a lot with our corner cases. 🥴 Not sure if you want to use it as it is.
(Personally, I’d remove the YAML stuff altogether.)
https://github.com/seibert-media/automatix
You put the “commands” in a YAML file. It’s Python and deals a lot with our corner cases. 🥴 Not sure if you want to use it as it is.
(Personally, I’d remove the YAML stuff altogether.)
> Systems that are on all the time don't benefit as much from at-rest encryption, anyway.
Right, especially not if it’s “cloud storage”. 😅 (We’re only doing it on our backup servers, which are “real” hardware.)
> Systems that are on all the time don't benefit as much from at-rest encryption, anyway.
Right, especially not if it’s “cloud storage”. 😅 (We’re only doing it on our backup servers, which are “real” hardware.)
> Systems that are on all the time don't benefit as much from at-rest encryption, anyway.
Right, especially not if it’s “cloud storage”. 😅 (We’re only doing it on our backup servers, which are “real” hardware.)
verbaflow understands which came out to roughly ~5GB. Then I tried some of the samples in the README. My god, this this is so goddamn awfully slow its like watching paint dry 😱 All just to predict the next few tokens?! 😳 I had a look at the resource utilisation as well as it was _trying_ to do this "work", using 100% of 1.5 Cores and ~10GB of Memory 😳 Who da fuq actually thinks any of this large language model (LLM) and neural network crap is actually any good or useful? 🤔 Its just garbage 🤣~
verbaflow understands which came out to roughly ~5GB. Then I tried some of the samples in the README. My god, this this is so goddamn awfully slow its like watching paint dry 😱 All just to predict the next few tokens?! 😳 I had a look at the resource utilisation as well as it was _trying_ to do this "work", using 100% of 1.5 Cores and ~10GB of Memory 😳 Who da fuq actually thinks any of this large language model (LLM) and neural network crap is actually any good or useful? 🤔 Its just garbage 🤣~
verbaflow understands which came out to roughly ~5GB. Then I tried some of the samples in the README. My god, this this is so goddamn awfully slow its like watching paint dry 😱 All just to predict the next few tokens?! 😳 I had a look at the resource utilisation as well as it was _trying_ to do this "work", using 100% of 1.5 Cores and ~10GB of Memory 😳 Who da fuq actually thinks any of this large language model (LLM) and neural network crap is actually any good or useful? 🤔 Its just garbage 🤣~
[10:40:20] <prologic> Thinking about writing a do nothing framework in Go
[10:41:10] <prologic> One in which consumers can define their procedure in their own repo
[10:42:07] <prologic> And users can of the tool can execute any procedure that the binary has imported
[10:42:58] <prologic> And eventually implement Run() to turn steps from manual ones to automated ones gradually
[14:51:34] <xuu> Like for mocking against?
[14:51:43] <xuu> Not sure I follow
[16:03:04] <prologic> xuu basically for reducing the activation energy to complete otherwise manual procsses
[16:03:14] <prologic> where you can gradually turn them into automated processes
[16:03:29] <prologic> https://blog.danslimmon.com/2019/07/15/do-nothing-scripting-the-key-to-gradual-automation/
[10:40:20] <prologic> Thinking about writing a do nothing framework in Go
[10:41:10] <prologic> One in which consumers can define their procedure in their own repo
[10:42:07] <prologic> And users can of the tool can execute any procedure that the binary has imported
[10:42:58] <prologic> And eventually implement Run() to turn steps from manual ones to automated ones gradually
[14:51:34] <xuu> Like for mocking against?
[14:51:43] <xuu> Not sure I follow
[16:03:04] <prologic> xuu basically for reducing the activation energy to complete otherwise manual procsses
[16:03:14] <prologic> where you can gradually turn them into automated processes
[16:03:29] <prologic> https://blog.danslimmon.com/2019/07/15/do-nothing-scripting-the-key-to-gradual-automation/
[10:40:20] <prologic> Thinking about writing a do nothing framework in Go
[10:41:10] <prologic> One in which consumers can define their procedure in their own repo
[10:42:07] <prologic> And users can of the tool can execute any procedure that the binary has imported
[10:42:58] <prologic> And eventually implement Run() to turn steps from manual ones to automated ones gradually
[14:51:34] <xuu> Like for mocking against?
[14:51:43] <xuu> Not sure I follow
[16:03:04] <prologic> xuu basically for reducing the activation energy to complete otherwise manual procsses
[16:03:14] <prologic> where you can gradually turn them into automated processes
[16:03:29] <prologic> https://blog.danslimmon.com/2019/07/15/do-nothing-scripting-the-key-to-gradual-automation/