ac2u
Joined 16 years ago
Joined 16 years ago
I think if it was combined with a regular vLLM it could be really interesting, especially watching the reasoning logs.
Bonus points if it was one of the latest open models that somehow had all prior training knowledge of Pokemon abliterated so it was reasoning as an intelligent persona that had no knowledge of even the concept of Pokemon.
Amen. If they cared they wouldn't have kept us waiting 20 years for Shenmue 3.
The marketing outreach in general for too many companies still leans heavily on “we use AI”, whereas most customers just want results and whether you use AI to either provide those results (or to make it cheaper or faster) isn’t a primary concern of the customer.
I don’t know if that’s true of India or not, but I like to give comment authors the benefit of the doubt that being specific about the geography was helpful context here
The only reason I ask is that for the past couple of weeks I’ve been making a similar utility to test out the Sol model and it’s hilarious how similar the architecture and even the CLI switches are to what Codex came up with.
Moving a lot of files from old laptop to new, lots of duplicate videos in scattered directories with different file names.
Point the CLI tool at a directory and up pops a ncurses application that scans from the directory you specify (recursively), hashes all the files to get groups of dupes, and then ranks the dupes into a table (that looks like top) so you can work your way through the dupes and decide which to keep without your hands leaving the keyboard.
It automatically ignores typical developer directories like node_modules so you're not tortured with noise in the result set.
Hit 'p' and a preview pops up so you can double check they are indeed dupes, if it's a media file the preview window autoplays the dupe videos in tiles with zero volume.
Supports a dry run mode, and switches to cover behaviour like sending dupes to trash rather than hard deletion.
That they’re consciously aware of