@mrzlucid · X

best trend on X - come play blackjack free

u/Rcoo232 · Reddit

I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi

@theedude___ · X

@askaguruapp

@OneTopicApp · X

If you are tired of endless doomscrolling. We have a solution.

u/zx9rams · Reddit

I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve

@Asym_Alwali · X

@RahulSharma_28 · X

Currently building:

@pfernan95dev · X

Want to grow faster on X? Try the tool I'm using and let me know if works for you🫶

@lostwiththewind · X

Try it here:

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

@markproxa · X

Side project launched today:

@MarwanMaherH · X