i built a simple tool that makes Claude Code work with any local LLM full demo: > vLLM serving GLM-4.5 Air on 4x RTX 3090s > Claude Code generating code + docs via my proxy > 1 Python file + .env handles all requests > nvtop showing live GPU load > how it all works Buy a GPU
@LiorOnAI
▶@dr_cintas
▶@samhoganI took the @karpathy autoresearch loop and pointed it at markets.
25 AI agents debate macro, rates, commodities, sectors, and single stocks daily. Every recommendation scored against real outcomes. Worst agent by rolling Sharpe gets its prompt rewritten by the system. Keep or revert. Same loop, prompts are the weights, Sharpe is the loss function.
Trained the agents on 18 months of market data. 378 iterations. 54 prompt modifications, 16 survived.
The system learned which agents to trust using Darwinian weights — geopolitical, commodities, and the @BillAckman quality compounder rose to the top.
The agents even figured out their own portfolio manager was the weakest link before we did!
Deployed the trained agents. +22% in 173 days. Best pick: AVGO at $152, held for +128%.
The final prompts are evolutionary products — shaped by market feedback, not human intuition. Now running live with my own capital.
https://github.com/chrisworsey55/atlas-gic
Part hedge fund, part research experiment :)@Chris_Worsey
@om_patel5
▶@0xLauge
▶@DataChaz
@tom_doerrIntroducing Vibe SDK@rauchg
@backpinelabs
▶@ctatedev
@Zai_org
▶@abouelatta_ali
@Fried_rice
▶@prathamgrv
@xmayeth+1@codetaur make it public on https://github.com/devallibus/shaderbase ?@de_vallibusI've tried all ( 74 😵💫 ) AI Coding Agents & IDEs
[Rork, CodeRabbit, Anima, Zed, Factory, Cursor, Windsurf, Copilot, Lovable, Bolt, v0, Replit, MarsX, Canva, Devin, Github Spark, Vercel, Lindy, Warp, Figma, Cline, Vibe Coder & more]
The most complete list ever made (with demos & notes):@johnrushx
@dhruvtwt_
▶@whosjunaiddtool is live, show me what you cook: https://ascii.0xbalance.xyz/@0xLauge
@affaan
@bbssppllvv
@GithubProjects
▶@coreyhainescoAfter a couple hours of work, I finally finished developing my first ever skill. :D
Claude’s frontend skill tells the AI to "pick an extreme aesthetic" and "be creative."
The problem tho is LLMs are just based on probability. Without strict rules, they statistically default to the most likely patterns, that's where AI slop comes from.
To get clean and production-grade UI, you need to override these biases with some engineering constraints.
I open-sourced Taste-Skill to fix this. :)
Check it out! https://github.com/Leonxlnx/taste-skill
(still early lots of improvements are on the way)@LexnLin
@DhravyaShah
▶@bestdesignsonx
▶@iannuttall