'Last time a human will ever win': College intern beats humanoid robot in 'Man vs. Machine' challenge

A Figure AI intern named Aime outpaced the company’s humanoid robot F.03 in a 10-hour parcel-sorting challenge, processing 12,924 packages compared to the robot’s 12,732, with just a 0.04-second-per-package speed difference. Figure AI CEO Brett Adcock called it the 'last time a human will ever win' in such tasks, highlighting rapid advancements in robotic logistics.
A Figure AI intern named Aime narrowly defeated the company’s humanoid robot F.03 in a 10-hour parcel-sorting test, processing 12,924 packages to the robot’s 12,732. The contest, held at Figure AI’s facilities, mimicked real warehouse work—scanning barcodes and placing packages on a conveyor belt. Aime worked a full shift with a lunch break, while robots rotated hourly to maintain continuous operation. Despite the advantage, Aime averaged 2.79 seconds per package, just 0.04 seconds faster than the robot’s 2.83-second rate. Figure AI CEO Brett Adcock celebrated Aime’s win on X, joking that his left forearm was 'basically broken' before declaring this the 'last time a human will ever win' such challenges. The test underscores how quickly robotics are advancing in logistics, where repetitive tasks like sorting can be physically demanding for humans. While robots still lag slightly in speed, their efficiency suggests they may soon surpass human workers in warehouse roles. The contest reflects broader industry trends, as companies increasingly adopt automation to improve supply chain efficiency and reduce labor strain. Figure AI’s proprietary AI, Helix, introduced in 2025, powers its robots, enabling them to handle complex, fast-paced tasks. Though concerns about job displacement remain, automation could also ease hazardous or repetitive labor while ensuring consistent performance. Aime’s victory highlights both the resilience of human workers and the closing gap between human and machine capabilities. The near-equal results signal that robots are nearing parity in warehouse operations, though adaptability and problem-solving still give humans an edge. Figure AI continues refining its technology to further bridge this gap, potentially reshaping logistics for years to come.
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