sábado, 14 de noviembre de 2026
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Raquel Urtasun on Level-4 Autonomous Trucks

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: Raquel Urtasun on Level-4 Autonomous Trucks Date: 2026-03-13 13:01 Source: https://spectrum.ieee.org/level-4-autonomous-trucks <img src="https://spectrum.ieee.org/media-library/an-adult-white-woman-with-short-dark-hair-and-crossed-arms-leaning-her-back-against-the-door-of-a-semi-truck.j…
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The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Global autonomous trucking business could be worth more than $600 billion per year by 2035

    60% confidence
  • Everybody who's a truck driver today and wants to retire as a truck driver will be able to do so

    60% confidence
  • Snowstorms still create a no-go zone for Waabi Driver

    60% confidence
  • Level 2+ passenger car systems are not verifiable black box architectures unsuitable for Level 4 autonomy

    60% confidence
  • There are 2 million deaths on the road globally per year

    60% confidence
  • Waabi Driver is a shared brain that can scale across full range of vehicles, geographies and environments

    60% confidence
  • Waabi's verifiable end-to-end AI enables driving on local streets with unprotected lefts, traffic lights, and tight turns all the way to end customer

    60% confidence
  • Human error causes between 90 percent and 96 percent of accidents

    60% confidence
  • Waabi World is the only simulator where you can mathematically prove that testing in simulation is the same as driving in the real world

    60% confidence
  • Autonomous trucking adoption will create more jobs than removed

    60% confidence
  • Autonomous haulers could be responsible for 15 percent of total U.S. trucking miles as early as 2030

    60% confidence

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Uber Technologies · market reach70 countries

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Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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