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Current AI systems struggle to conduct independent scientific research, with performance plummeting by nearly 50% when human guidance is removed.
Embodied agents get a 30%+ performance boost by using external tools for perception and reasoning, but still struggle to pick the right tool for the job.
AI-driven scientific discovery is closer than you think, but current systems still struggle with reproducibility, cross-domain robustness, and accountable scientific closure.
Imagine automating the tedious engineering tasks in embodied AI development with a conversational agent, freeing researchers to focus on core algorithmic innovation.
