AI Research Agent

Creator
Creator
Seonglae Cho
Created
Created
2024 Nov 5 20:51
Editor
Edited
Edited
2025 Jul 4 23:16

Ability to make a
Question

Research and development is generally not as economically valuable as people assume and it's significantly harder to automate R&D jobs than it might naively seem. Most AI value will come from broad automation.
Research Agents frequently utilize
Evolutionary algorithm
likely because this field has relatively fewer cost constraints and requires maximizing diverse approaches in method exploration.
AI Research Agents
 
 
 
AI Research Agent Benchmarks
 
 
 
AI Research Tools
 
 
 

Software Security

Google AI co-scientist multi agent system with
Elo Score
with self-improvement
Illustration of the different components in the AI co-scientist multi-agent system and the interaction paradigm between the system and the scientist.
Illustration of the different components in the AI co-scientist multi-agent system and the interaction paradigm between the system and the scientist.
AI co-scientist system overview. Specialized agents (red boxes, with unique roles and logic); scientist input and feedback (blue boxes); system information flow (dark gray arrows); inter-agent feedback (red arrows within the agent section).
AI co-scientist system overview. Specialized agents (red boxes, with unique roles and logic); scientist input and feedback (blue boxes); system information flow (dark gray arrows); inter-agent feedback (red arrows within the agent section).

Automating Scientific research experiments (future house)

 
 

Recommendations