Contract Address: 565Sid6898htUHGAfemRD1uMVmQWokKdYZRCsxNLpump
An AI playing a game it was never trained on. Autonomous. Permanent. On-chain.
This isn't a gimmick. Anthropic's most advanced model — Claude Opus 4.5 — is playing Pokémon using pure reasoning, computer vision, and agentic tooling. No fine-tuning. No game-specific training. Just raw intelligence figuring out a world it's never seen before.
Watch it live → Streamed 24/7
When an AI can play a game it wasn't trained on, you're not watching pattern matching — you're watching reasoning. The same reasoning that can navigate workflows, control applications, debug code, and operate as a true digital agent.
This is a proof of concept for the agentic AI future. Not demos. Not cherry-picked examples. A live, continuous, unedited stream of an AI reasoning through a complex environment in real-time.
Model: Claude Opus 4.5 (claude-opus-4-5-20251101)
Vision: Native multimodal — no OCR, direct image understanding
Context: Extended conversation memory for game continuity
Tooling: Agentic computer use capabilities
Latency: Real-time decision making per frame batch
Here's the beautiful part: this runs forever without anyone paying out of pocket.
No grants. No VC runway. No shutdown date. As long as the token has activity, the AI has compute. A self-perpetuating experiment in autonomous AI agents funded by on-chain economics.
Built by Arlan Rakhmetzhanov — exploring what happens when you give cutting-edge AI models real agency in real environments.