Hi everyone! I'm looking to expand my RL toolkit and would love to hear about what libraries and frameworks the community is using these days. The RL ecosystem has evolved so much, and I want to make sure I'm learning the most relevant and future-proof tools.
What are your current go-to RL libraries and frameworks in 2025? I'm particularly interested in -
What you use for different types of RL problems?
Any newer libraries that have impressed you recently
What you'd recommend for someone looking to learn their next RL framework?
The Bias is YOU - LLMs Mirror Your Own Assumptions
AI doesn't just have bias - it reflects yours.
When you ask a question with positive framing, you get positive answers. Ask with negative framing, you get negative answers. The AI becomes a mirror of your own assumptions.
Your framing determines the answer - The same topic yields opposite responses based on how you ask
AIs amplify your sentiment - Negative questions often get even MORE negative responses
This affects everyone - From students doing research to professionals making decisions
Why This Matters
This isn't a technical glitch - it's fundamental to how these systems work. They're trained on human language, and humans frame things with bias. The AI learned to match that framing.
Think about the implications: - Medical professionals seeking second opinions - Students researching controversial topics - Business leaders evaluating strategies - Anyone using AI for important decisions
The Stochastic Mirror Effect
Let's call this the "Stochastic Mirror" - the AI doesn't give you objective truth, it gives you a probabilistic reflection of your own framing.
You're not querying a neutral database. You're looking into a mirror that reflects and amplifies your assumptions.
