I basically setup a corpus of German translations and tagged them with translator decisions. Then, I’m running my target book through the tagger and we automatically query the dataset for similar prose across the other books
So in the end, I get to read along with context on the German across other books and make decisions according to my own vibe AND with the context of how other people have dealt with similar writing. There are a ton of opinions on how to translate - so in the end, it’s vibe imo
@thsottiaux Ah oh.. and stability in the mobile apps. Both apps start freezing after like 5-6 running chats and loading times are abhorrent. With respect :)
@thsottiaux Adding live voice to the mobile apps would be nice - these days I’m always remoting in.. so much so that i haven’t even gotten to use that cool feature yet
Has anyone worked on book translating using models? I’ve been working on an en of “Das Reich Ohne Raum” 1925
It’s slow going.. one interesting thing has been using bertalign + kimik3 to compare multiple translations of existing works and understand the decisions made
@bentlegen See though I prefer this to under zealous opus who I have to poke every turn to even try. easy enough to handycap solo, I can't to shi to motivate a claude
opus 5 is so bad its genuinely a liability. but, i still have a week left of tokens😖 wish there was some sort of token resale market. hard to imagine a model this bad can be released by a major lab in the current year.
used a trick @jlongster came up with
agents can control browsers but you can also ask it to record network requests into a HAR file
then it can derive a client for any website which is more efficient than browser controlling it every time
made it build a quick uber eats cli
@SuCoffey123@VictorTaelin It's valuable, yes.
Proof is that programming was supposed to be dead 1-2 years ago and the biggest AI companies are still buying out open-source for the talent.
Knowing computer shi puts you in a better position with got tier models. Godspeed