Human brains do not look very different from chimp brains yet produce wildly different capabilities.
Mostly true True in substance, wrong in a detail.
Factual: Statements about the present or the past, checked against the record: did they hold up?
The second judge would not resolve this claim; the verdict shown is the first judge's.
What would count as true or false
Judged against neuroscientific and comparative-anatomy consensus as of February 2015. True if mainstream evidence shows human and chimpanzee brains share broadly similar structure and organisation (the same major regions, similar cell types and largely shared genes), with differences mainly in size (about 3x larger in humans), proportions and connectivity, while human cognitive capabilities (language, cumulative culture, technology) differ greatly. Mostly true if the broad similarity holds but the claim understates notable differences such as the threefold size difference or expanded prefrontal and association cortex, which experts would call significant, while still agreeing the overall plan is similar. Mixed if expert sources are roughly split on whether the brains are 'not all that different'. Mostly false if the evidence shows the brains differ substantially in ways experts regard as major (not just size), so the claim seriously distorts things. False if the evidence shows the brains are fundamentally different in structure or that the capabilities are not very different.
Set before the research began.
Evidence (4)
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E1 Brain Evolution: Mammals, Primates, Chimpanzees, and Humans - International Journal of Primatology Springer (International Journal of Primatology), author C.E. Oxnard · 4 October 2004
“Our most recent results demonstrate that chimpanzees and humans are especially different from one another, and the difference is not due to size alone.”
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E2 Brain Evolution: Mammals, Primates, Chimpanzees, and Humans - International Journal of Primatology Springer (International Journal of Primatology), author C.E. Oxnard · 4 October 2004
“Part of this difference is merely a continuation, from chimpanzees towards humans, of a trend already present across all other primates that relates mainly to neocortical increase.”
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E3 The Remarkable, Yet Not Extraordinary, Human Brain as a Scaled-Up Primate Brain and Its Associated Cost National Academies Press (NCBI Bookshelf), In the Light of Evolution Vol. VI, National Academy of Sciences · 25 January 2013
“the human brain is a scaled-up primate brain in its cellular composition and metabolic cost, with a relatively enlarged cerebral cortex”
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E4 The Remarkable, Yet Not Extraordinary, Human Brain as a Scaled-Up Primate Brain and Its Associated Cost National Academies Press (NCBI Bookshelf), In the Light of Evolution Vol. VI, National Academy of Sciences · 25 January 2013
“which is fewer than the 28 billion and 33 billion neurons that we have predicted for the chimpanzee and gorilla brains, respectively”
Reasoning
E3, a 2013 National Academy of Sciences chapter, describes the human brain as "a scaled-up primate brain in its cellular composition and metabolic cost, with a relatively enlarged cerebral cortex." That supports the claim that the overall plan is broadly shared. E4 gives a predicted neuron count for the chimpanzee brain, but the quote does not give the human figure needed for a comparison. E1 and E2, from a 2004 comparative-anatomy study, report that human and chimpanzee brains are "especially different" in ways not explained by size alone, though part of the difference continues a primate-wide trend of neocortical increase. Taken together, the evidence supports broad similarity, while the claim understates notable differences such as the enlarged cortex. That fits the "mostly true" criterion, although none of the sources directly addresses the difference in capabilities.
Cite this claim
Sam Altman, “Human brains do not look very different from chimp brains yet produce wildly different capabilities.” (said February 2015). Verdict: mostly true. Reliability API, claim c_7151d9e38986, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_7151d9e38986
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Sam Altman
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“The very end of 2015, we announced it, and then the first day of work was like January of 2016.”
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“not until 2020 did we train GPT-3, which was the first model that I think actually was over some threshold of usability.”
OpenAI trained GPT-3 in 2020, which Altman considers the first model above a threshold of usability.
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“Absolutely. To go back to the analogy of electricity, there’s this amazing chart of what it cost to have an hour of light at night.”
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