I'm using AssemlbyAI and Deepgram for the transcripts at the moment. Unfortunately, they don't support Irish. However, I did see this: https://elevenlabs.io/speech-to-text/irish . Not sure how accurate it is.
On a slightly related note, I have created a tool for generating web pages based on any subject using different "themes". You can create one here with a "Mario-Bro's" theme for example: https://thedeadweb.eu/?q=honey&style=mario-bros
This is so weird! I entered "German health insurance" because that's what I'm working on at the moment. Every link I clicked had the faintest whiff of usefulness, but was ultimately completely worthless. It was like a pointless maze that never had any satisfying payoff. The name is really appropriate.
yeah, it usually functions like a simplified wikipedia. It is more useful for simpler subjects in its current form, but ultimately its just a bit of fun
Any stories that have been written by AI are marked as such (they are categorized as user submission stories where the author is credited as the AI model). Interestingly the lowest ranked story on the site is one of those, although that was created with an older model. I had never thought of the site as being an "AI product" personally. I just wanted an excuse to play around with web sockets initially, but if I can improve the AI player maybe it will eventually go more in that direction.
I have had this lateral thinking game online for a while. The jist of the game is that one player asks a "host" a series of questions in order to reach a full understanding of what happened in a story, based on an initial premise.
I have tried in the past at adding AI players but could never get reliable answers. However, as AI has improved, I decided to give it another go. At the moment it is connected to deepseek v3 with some basic prompts, and it looks to handle the task pretty well. Not yet perfect but it definitely does form an impressive understanding of the stories, and the game itself.
It tends to reveal a lot of extra information, even when you're playing it straight rather than trying to trick the AI.
Like, when you ask the "does the reason the window is open matter?"-style questions that should be bread and butter for this kind of game it'll often go beyond a "YES" into "YES, the reason the window is open provides crucial context to what they were thinking". The worst case was me asking whether somebody died via foul play, and the AI answered "NO. Your question is whether he was intentionally killed rather than it being a <spoiler> accident".
that's pretty funny. Yeah, its far from perfect in terms of implementation at the moment. I was more curious to see if it was capable of understanding the game more than anything for the moment. Previous attempts with other models had proved to be disappointing. I will tweak the prompts to resolve that issue soon enough though. Like you say, it should be bread and butter for this.
I've tried using older models to create a cpu player on this lateral thinking game (https://detective-stories.com) and they were surprisingly bad at giving answers. I am curious to see how well the more recent models will do.
To cycle through available color schemes call :VanityNextCol.
When you come across a colour scheme you LIKE call :VanitySaveFavColorForFileType to add it as a favourite.
When you come across a colour scheme you LOVE call :VanitySetDefaultColorForFiletype to add it as the default colour scheme for that filetype.
Just a simple little plugin I needed for managing the huge amount of color schemes available for vim. Allows for cycling through available color schemes, setting defaults etc..
Still a WIP but it has been solid enough for me on Linux using vim 8
