NVIDIA invested billions of dollars, with thousands of engineers working for a decade, on deep learning without knowing how far it would scale.
Own records only Only the person's or their organisation's own records speak to it, so it is not scored.
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.
Reasoning
NVIDIA's internal R&D spending and engineer counts on deep learning specifically are not publicly broken out.
Cite this claim
Jensen Huang, “NVIDIA invested billions of dollars, with thousands of engineers working for a decade, on deep learning without knowing how far it would scale.” (said 14 June 2024). Verdict: own records only. Reliability API, claim c_9ba19c76615d, method 0.1.0+03d23c0e, dataset release v1.1.2. https://epistacklabs.com/claims/c_9ba19c76615d
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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Resolved true
“Now we built this for higher education and university researchers because for them to build this is insanely hard to do.”
NVIDIA built the Isaac GR00T reference humanoid for higher education and university researchers.
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Mostly false
“Once it learns how to calculate weather, it can calculate and predict weather 3,000 times faster than a supercomputer, and 1,000 times less energy.”
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Mixed
“the reason why NVIDIA’s growth is accelerating is because people are starting to realize that we’re the safest architecture to invest in.”
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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
“AI is now generating jobs across every single sector, from chip fabs to computer plants to AI factories.”
Verdicts are made automatically; how verdicts are made.