AI Agents That Live Inside a Dreamed-Up World
Cisco AI engineer Shridhar Shah built a tiny multi-agent system where an agent learns to hallucinate future frames of a predator-prey game and then practices inside its own dream. Shah found that a dr…
Cisco AI engineer Shridhar Shah built a tiny multi-agent system where an agent learns to hallucinate future frames of a predator-prey game and then practices inside its own dream. Shah found that a dr…
Cisco senior software engineer Shridhar Shah demonstrated that three minimal AI agents sharing a decaying notepad spontaneously built a persistent culture—a shared story that outlived any individual n…
A developer built a minimal implementation of the Lewis signaling game, where two AI agents invent their own language from scratch without any shared vocabulary. The agents achieved ~97% accuracy in c…
A developer built a cryptographically verifiable agent behavior system that produces tamper-proof receipts proving an AI agent followed approved rules. The demo uses standard hashing and signatures to…
A developer built an AI agent using active inference that becomes curious on its own by minimizing surprise rather than chasing rewards. On a foraging task, the agent achieved 100% success by checking…
Shridhar Shah, a senior software engineer at Outshift by Cisco, built two AI agents to test theory of mind using the Sally-Anne false-belief test. One agent, which only tracks reality, fails the test …
A developer built a 90-line AI agent that mimics sleep to consolidate memories, achieving 100% recall compared to 75% for an identical agent without sleep. The agent replays daily experiences during a…