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Shifting from solution-centric to information-centric decision-making, Iris achieves unprecedented performance in autonomous ML engineering tasks.
LLMs struggle to match human decision-making in e-commerce, achieving only 27.3% of the final net assets in a year-long simulation.
MLLMs excel at precision but falter dramatically in extracting complete product specifications from multiple images, with a mere 49.9% recovery rate.
LLMs signal their internal certainty during answer decoding through predictable attention patterns on their own reasoning traces.
