ClaimsRodney Brooks

“@yejinchoinka is providing a “common sense” rebuttal on the @TED stage.”

Rodney Brooks, on X 18 April 2023 Post by @rodneyabrooks on X, 2023-04-18 (X)

Factual AI capabilities

Yejin Choi gave a "common sense" rebuttal on the TED stage in April 2023.

Resolved true The record shows it happened or was so.

Factual: Statements about the present or the past, checked against the record: did they hold up?

What would count as true or false

Judged as of 2023-04-18. True: Yejin Choi gave a talk at the main TED conference (TED2023, April 2023) that argues AI lacks common sense, or otherwise rebuts claims about AI's capabilities. Mostly true: she gave such a talk in April 2023, but a minor detail differs (for example, the exact framing, or it was a session on the TED stage but not a mainstage talk). Mostly false: she spoke at a TEDx event or another venue, or her talk was not about common sense in AI. False: she did not speak at TED in April 2023.

Set before the research began.

Evidence (4)

  1. E1 The astounding new era of AI: Notes on Session 2 of TED2023 TED Blog (TED Conferences) · 18 April 2023

    “When and where: Tuesday, April 18, 2023, at the Vancouver Convention Centre in Vancouver, BC, Canada”
  2. E2 The astounding new era of AI: Notes on Session 2 of TED2023 TED Blog (TED Conferences) · 18 April 2023

    ““Giving true common sense to AI is still a moonshot, and you don’t reach the moon by making the tallest building in the world one inch taller at a time,” says computer scientist Yejin Choi.”
  3. E3 Yejin Choi: Why AI is incredibly smart and shockingly stupid | TED Talk TED Conferences · 28 April 2023

    “Yejin Choi | TED2023 • April 2023”
  4. E4 Can A.I. learn common sense? | Fortune Fortune · 19 April 2023

    “Another female speaker at TED who spoke truth to a different kind of power is researcher Yejin Choi from the University of Washington. Choi has made it her mission to investigate if and how artificial intelligence systems can learn common sense”

Reasoning

TED's blog post on Session 2 of TED2023 shows the session took place on 18 April 2023 in Vancouver (E1). The same post quotes Yejin Choi saying that giving AI true common sense is still a moonshot (E2). TED's talk page lists her talk "Why AI is incredibly smart and shockingly stupid" under TED2023, April 2023 (E3). Fortune's report from the conference also describes her as a TED speaker who studies whether AI can learn common sense (E4).

Cite this claim

Rodney Brooks, “Yejin Choi gave a "common sense" rebuttal on the TED stage in April 2023.” (said 18 April 2023). Verdict: resolved true. Reliability API, claim c_f725f175c313, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_f725f175c313

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Rodney Brooks, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Rodney Brooks

  1. Mostly true Factual 1 January 2026
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    Since 1991 Brooks has distinguished between situatedness and embodiment as two separate properties a machine or creature can have.

  2. Mostly true Factual 1 January 2026
    “Once the pick orientation and vacuum gripper selection has been made it is really an open loop as all the work is done by the indiscriminate force of suction and the mutual compliance of the gripper…”

    Once pick orientation and vacuum gripper are selected, suction grasping is open loop, relying on suction force and compliance of gripper and object.

  3. Mostly true Factual 1 January 2025
    “Each column from bottom to top is a pure feed forward network, with no search, no iteration, no conventional algorithm at all.”

    In the 2017 'Attention Is All You Need' transformer architecture, each column from bottom to top is a pure feed-forward network with no search, iteration or conventional algorithm.

  4. Mostly true Factual 1 January 2024
    “By March of 2023, it was clear that the next big thing had arrived in AI, and that it was Large Language Models.”

    By March 2023 it was clear that large language models were the next big thing in AI.

  5. Mostly true Factual 1 January 2023
    “In essence ChatGPT is picking the most likely word to follow all those that precede it, whether it is the words in a human input prompt, or what it has already generated itself.”

    In essence, ChatGPT picks the most likely next word given the preceding words, whether from the user's prompt or its own generated output.

All of them

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