human

also referred to as: humans

5 statements across 5 episodes · 2 bullish · 1 bearish · 5 people on the record · first statement Dec 18, 2014 by Yann LeCun · across every show →

Everything said about human, oldest first

Dec 18, 2014
Prediction Not checkable as stated
LeCun: Building superintelligent AI will take a long time
“Building machines that are super intelligent, you know, more intelligent than humans is going to take a long time.”
Yann LeCun Dec 18, 2014 ▶ 37:58 Yann Lecun, Facebook // Artificial Intelligence // Data Driven #32 (Hosted by FirstMark Capital)
Dec 11, 2018 neutral
Assertion Open · timeframe Dec 2023
Deep learning systems outperform humans at classifying QR codes
“If I show you QR codes and ask you to classify QR codes, humans will completely fail, whereas deep learning systems will succeed.”
Dileep George Dec 11, 2018 ▶ 25:43 The State of AI & What's Next // Dileep George, Vicarious AI (FirstMark's Data Driven NYC)
Oct 22, 2019 positive
Prediction Not checkable as stated
Domingos: Future human work will shift to setting goals and verifying AI output
“So we humans, right, I can see a future where our full-time occupation is to tell the, you know, algorithms what we want to do, set the objective function, set the boundaries, and then verify the solutions all the time, continuously.”
Pedro Domingos Oct 22, 2019 ▶ 34:16 Fireside Chat: Pedro Domingos, Head of Machine Learning, DE Shaw (FirstMark's Data Driven NYC)
Oct 4, 2023 positive
Insight
Kanjun Qiu: Self-supervised learning mirrors how humans naturally learn
“Self-supervised learning is interesting because it's how humans learn, you know, most of the time we go around We like Google stuff. We learn on our own. We're not giving supervised labels all the time.”
Kanjun Qiu Oct 4, 2023 ▶ 3:51 Building Human-Level AI Agents: Imbue CEO Kanjun Qiu on the Road to General Intelligence
Aug 27, 2026 bearish
Prediction Open · timeframe Dec 2029
Misaligned AI will competently scheme and take over in 2029
“And then it turned out that somewhere along this transition, so at some point in 20, 29, you went from AIs that were kind of misaligned and reward hacky and sloppy and weren't really trying to do the right thing to AIs that are like competently scheming agains…”
Ryan Greenblatt Aug 27, 2026 ▶ 1:17:25 AI Could Take Over in 2029. Is It Already Too Late?
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