Farcaster

Had an interesting conversation with colleague who built the earliest visual operator for Google Pixel phone testing. We always thought MCP is overrated for AI, but cannot think of a better way to improve user experience, but a recent paper gives us an idea that could be better than MCP, here is the idea 🧵

3/ The big innovation? Instead of hard-coding how AI should use tools (which is what most systems do), Tool-R1 lets AI figure it out through experience - just like humans do! No extra steps, no complex rules - just pure learning from outcomes.

2/ Here's the cool part: Search-R1 showed us that AI can learn to search the web naturally through trial and error (reinforcement learning). We thought - why stop at search? Tool-R1 extends this idea to ANY tool - calculators, APIs, you name it!

1/ Search-R1 is an awesome paper about teaching AI to use search engines through reinforcement learning, we've been thinking: what if we applied this to all tools? Meet Tool-R1, our take on making AI tool use more natural!