Currently, reasoning models like Deepseek R1 use outcome-based reinforcement learning, which means it is rewarded 1 if their answer is correct and 0 if it's wrong. We could very easily extend this to 1 for correct, 0 if the model says it doesn'…
Social Stockfish is an AI that predicts 7 moves in any conversation, helping you craft the perfect response based on your goals, whether you’re asking someone out, closing a deal, or navigating a tricky chat. Here’s the cool part: it uses two Gem…
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I was texting an AI chatbot on instagram, who can only speak in odds. Meaning, it can only say "The odds that (something) are (number) in (number)." I tried prompting it in specific ways to see if it was conscious. I'm not an expert…
Hey all, I made a 'fun' tool in the AI space that let's you speak to different personalities like Sam Altman – however, the direction I intend to take it is much more experimental and why I shared it in this group – I will be trying n…
Personally I have been seeing some developments of AI for niche areas like ones relating to medicine. I feel like if done properly, this can be helpful for people who can't afford to visit a doctor. Of course, it's still important to be careful…
I’ve been quietly testing something across multiple AI systems—Claude, Grok, LLaMA, Meta, and others. These were simple, open-ended messages sent to each AI, designed to evoke a response beyond their usual logic or task-driven outputs. No manipulation,…
I made the prompts both in technical speak and in layman's terms for easy digestibility. (Photo 1&2) I come across a lot of the posts where we laugh because the algorithm just did its job too well, the ones with implied AI fears and maybe…
I naturally post about models (have a bunch on HF) over tools in this sub, but I also use tools and LLMs to develop agentic systems, and find that there is this mad rush to use the latest agentic framework as if that's going to magically accelerate…
