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News articleMIT Technology Review

The Download: AI roadblocks for humanoids and portable rubber dams

View original at technologyreview.com
MIT Technology Review - Ai Research Title: The Download: AI roadblocks for humanoids and portable rubber dams Date: 2026-10-08 12:10 Source: https://www.technologyreview.com/2026/10/08/1146045/the-download-ai-roadblocks-humanoids-portable-rubber-dams/ <p><em>This is today’s edition of </em><a href="https://forms.techno…
Opening lines of the source · MIT Technology Review · short snapshot: read the full document at the original

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  • Three fired OpenAI researchers warn that AI companies could lose a key safety tool, AI reasoning monitoring.

    60% confidence

  • The Climate Tech Companies to Watch list reflects that China is the center of the climate and energy tech world, that everybody wants a piece of the data center pie, and that the grid needs support with energy storage a key piece.

    60% confidence

  • Many researchers are skeptical that AI advances behind ChatGPT and Claude will let robots imitate human movement as chatbots imitate language; they argue this minimizes the challenge of mastering the infinite variability of the physical world, and that conflating humanoids with generalist machines is misleading.

    60% confidence

  • OpenAI has built models that develop capabilities their creators did not explicitly design.

    60% confidence

  • OpenAI is catching up with Anthropic on coding.

    60% confidence

  • WaveSave's SlamDam can stand up to 1.3 meters high, shielding property or structures from rising waters, and anyone can install it quickly by pumping it full of water.

    60% confidence

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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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