Hello everyone, i'm an aspiring finance executive (or really anything good within the world of finance), and lately i've been wondering how the finance industry is going to look in the future thanks to AI. I've been getting more into financ…
https://reddit.com/link/1sq72d1/video/rksbmap138wg1/player I'll be honest I didn't spend a huge amount of time perfecting the prompts here and even then the results were pretty solid. Flux is surprisingly good at understanding context wit…
Anybody try this repo out? Looks interesting. https://github.com/AIOSAI/AIPass Thx submitted by /u/xNexusReborn [link] [comments]
submitted by /u/esporx [link] [comments]
I’ve spent the last few months building Arc Gate, a monitoring proxy for deployed LLMs. The pitch: one URL change, and you get real-time behavioral monitoring, injection blocking, and a dashboard. I want to share what I learned because most “AI securit…
Why on earth would you pay $49/mo for a polished Saas product when you can spend $500 a day building one for yourself in Claude. Absolute insanity if you ask me. The End of Software. submitted by /u/aipriyank [link] [comments]
I’m not an engineer or a philosopher. I’m a disabled mom in hospice command center mode with my dad, and I use AI every day from my recliner. At first it was just a tool for me: “fix my grammar, help me write this, summarize that.” Very normal. Then so…
submitted by /u/Expensive-Aerie-2479 [link] [comments]
I built scalar-loop to solve one problem: LLM agents game their verifiers. The pattern is Karpathy's autoresearch loop. LLM proposes an edit, harness runs the metric, loop keeps or reverts based on the number. Simple. Until you watch the agent, on …
When ChatGPT or Perplexity answers a question, it runs RAG: retrieves top candidates from a crawled index, then scores them. The scoring criteria are public knowledge from the Princeton GEO paper (arxiv.org/abs/2311.09735). Key signals: answer directne…
