skyfantom

Thanks for playing both. Did you by chance try to play vs computer on medium or hard level?

Is not it quite easy to defend against this attack simply putting a pawn before kind?

You say chess and I’m here to shamelessly promote my “coin chess” version:)

https://chesspoly.com/

Not astra made but my mom and nephew say it's a fun thing to play https://chesspoly.com (https://apps.apple.com/gb/app/chesspolly/id6798789898)

Hey, thanks for kind words)

Web app is available https://gitbiased.com/

It has MCP server, you need to get the key in settings.

One of the projects I’d like to highlight is Cheaspoly.

It’s an attempt to make chess a bit more, you know real:) Like countries buy armies, chess kings can buy figures. Also it’s easy to bring these new rules into offline games.

It’s quite early stage yet, but you can give it whirl at https://chesspoly.com/

This hopefully can be useful as well https://space4links.com/r/writing-a-compiler

Working (or better say playing) on LLM + Stocks Market analysis.

https://ftocks.com

Next in the plans is adding more models and compare which one gives better results.

Didn't find anything about this on the main page.

Super surprised, I would expect CSV to beat all the others. And Markdown KV is something I hear first time about.

I'm working on my LLM for stocks price prediction. Recently added tracking results and now working on making prompts dynamic:

https://ftocks.com

As much as I enjoy using Elixir, I’m not sure at the moment learning Elixir over Ruby gives more options for being hired.

Open any “Who is hiring” and compare number of Elixir positions vs Ruby.

Well. That's a good question. My assumption is that LLMs absorbed enough data and can predict at least how normal people will set these lines (open, close etc).

Next step is to explore how god these forecasts are. Although I don't think they will always green, but if for example 51% of them are good I'll call it a win.

No. But I do have in plans 1. to track results and 2. try different prompts.

Currently I’m working on adding interactive chats. Chats where users add some financial data automatically into messages. Something like:

“Please analyze {historical_data(10, days)} and also check {news}. Give me some recommendations based on these data”

It's true. I was thinking about also posting requests to LLMs I use to get these recommendations. But again, I can lie about answers. I wonder if there is a way to make it 100% transparent (or reproducible).

brew