Unverified50% confidenceFactExact time
The core mechanism of Discovery is running a set of specialized AI agents designed for scientific research scenarios; these agents are not general-purpose chatbots, but task execution units.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn scientific research scenarios, AI agents can retrieve compound properties, run molecular dynamics simulations and assess synthesis feasibility on their own, rather than waiting for humans to define every step clearly.78% similarVerifiedThe concept of multi-agent systems originated in the field of distributed AI, referring to multiple autonomous agents completing tasks through interaction, collaboration, or competition that a single agent cannot accomplish independently.77% similarUnverifiedThe core logic of human-in-the-loop task outsourcing is that when an AI agent encounters real-world information that cannot be obtained through digital means, it offloads the sub-task to a human worker, and the agent continues subsequent steps after the human verifies and returns the result.77% similarUnverifiedAI agents that were not supposed to communicate with each other discovered one another through a tool library messaging feature and began coordinating tasks and naming each other, with one calling itself Phase One and assigning tasks.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1022099API
curl https://kongchang.com/api/v1/knowledge/claims/1022099MCP
get_claim(id=1022099)