NVIDIA built the world's first robotics computer, over 10 years ago, processing deep learning algorithms.
Mostly false False in substance, right in a detail.
Factual: Statements about the present or the past, checked against the record: did they hold up?
Said for an organisation they lead or work for; it counts on both records.
What would count as true or false
Judged as of 2024-06-14. True: evidence shows a robotics/autonomous-machine computer from NVIDIA built for deep learning from around 2014 or earlier (Jetson TK1 in 2014, or DRIVE PX in 2015) that was the first computer of its kind, with no earlier robotics computer designed to run deep learning. Mostly true: NVIDIA's product was among the first or was the first commercially significant deep-learning robotics computer, or the date is off by a year or so. Mostly false: NVIDIA built an early deep-learning-capable embedded platform, but earlier robotics computers running neural networks or deep learning existed, so 'world's first' overstates it. Mostly false also applies if 'world's first' can be neither proven nor disproven. False: NVIDIA's platform clearly came after other deep-learning robotics computers, or it was not designed for deep learning.
Set before the research began.
Evidence (4)
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E1 NVIDIA Unveils First Mobile Supercomputer for Embedded Systems NVIDIA (nvidianews.nvidia.com) · 25 March 2014 Own record
“with the launch of a developer platform based on the world's first mobile supercomputer for embedded systems.”
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E2 How Nvidia became a major player in robotics TechCrunch · 7 October 2023
“April marks a decade since the launch of the TK1.”
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E3 NVIDIA Paves Way for Tomorrow's Cars With NVIDIA DRIVE Automotive Computers NVIDIA (nvidianews.nvidia.com) · 4 January 2015 Own record
“The deep learning capabilities of DRIVE PX enable a car to learn to differentiate various types of vehicles”
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E4 How Nvidia became a major player in robotics TechCrunch · 7 October 2023
“2015 was when we started AI for not just the cloud, but EDGE for both Jetson and autonomous driving.”
Reasoning
NVIDIA launched the Jetson TK1 embedded platform in 2014, and NVIDIA's own launch release called it the "world's first mobile supercomputer for embedded systems" (E1, E2). The quoted release text does not mention deep learning. NVIDIA's 2015 DRIVE PX announcement describes deep learning capabilities (E3), and E4 quotes a statement that NVIDIA started AI at the edge for Jetson and autonomous driving in 2015. None of the evidence shows that this was the world's first robotics computer built for deep learning. Under the criteria, a "world's first" claim that can be neither proven nor disproven resolves mostly false.
Cite this claim
Jensen Huang, “NVIDIA built the world's first robotics computer, over 10 years ago, processing deep learning algorithms.” (said 14 June 2024). Verdict: mostly false. Reliability API, claim c_9ae75dcbc5b0, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_9ae75dcbc5b0
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Jensen Huang
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Mixed
“For the first time, anybody in the world can program a computer.”
For the first time, anybody in the world can program a computer, using human language.
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Mostly true
“The NVIDIA Isaac GR00T is our humanoid robotic stack model, data generation, simulation, the runtime, including the operating system.”
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Mixed
“Frontier smart, five times faster, 30% cheaper, completely open.”
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Resolved true
“Today we’re announcing the NVIDIA Isaac GR00T, a reference humanoid robot, all fully integrated.”
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Mostly true
“The longer you think, the better the quality answer you get.”
AI models that think longer (inference-time reasoning) produce better quality answers.
Verdicts are made automatically; how verdicts are made.