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The Download: metric weaknesses and AI elephant warnings

View original at technologyreview.com
MIT Technology Review - Ai Research Title: The Download: metric weaknesses and AI elephant warnings Date: 2026-06-29 12:10 Source: https://www.technologyreview.com/2026/06/29/1139834/the-download-metric-weaknesses-ai-elephant-warnings/ <p><em>This is today’s edition of </em><a href="https://forms.technologyreview.com/n…
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  • India is home to about 60% of the world's wild Asian elephants, with around 80% of their habitat outside protected areas, leading to deadly human-wildlife conflicts.

    60% confidence
  • Google capping Meta's access to Gemini AI compute has disrupted and delayed some Meta AI projects.

    60% confidence
  • Chipmakers are profiting off AI at the expense of everyone else.

    60% confidence
  • External metrics and data can never capture what is truly important; worse, they inevitably redefine one's core sense of what is important, whether or not one is aware of the trap.

    60% confidence
  • A new study suggests 6.4 to 7.8 hours of sleep is the optimal range; too much sleep may be as harmful as too little.

    60% confidence
  • Powerful AI capable of altering the landscape of cyberwarfare cannot remain solely in American hands; Chinese AI firms must match US capabilities.

    60% confidence
  • There have been some 3,000 human casualties from human-elephant conflicts in India in the last five years, and over 1,000 elephant deaths since 2014.

    60% confidence
  • Android phones gave Venezuelan earthquake victims between seconds and up to two minutes of advance notice before the seismic events struck.

    60% confidence
  • Research shows Gen Z are more likely to believe and pass on misinformation when they feel a sense of common identity with the person who shared it, with social media shifting credibility from community to identity-based authority.

    60% confidence
  • Severe weather is now the leading cause of loss for data centers, as extreme heat puts AI-heavy data centers under significant operational pressure.

    60% confidence
  • Security researchers say Zhipu AI is poised to reset the AI race after its model matched Anthropic's Mythos in finding security bugs.

    60% confidence
  • US restrictions on AI models have sparked alarm that they are boosting China's AI progress.

    60% confidence
  • Zhipu AI's model still cannot match Anthropic or OpenAI on general tasks despite matching Mythos in security bug detection.

    60% confidence
  • Appropriate safeguards are now in place for the release of Anthropic's Mythos 5 model to trusted organizations.

    60% confidence
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Q4 2026 Biotech Catalyst Window: ESMO Data, the Ivonescimab PDUFA and Small-Cap Delistings
Mid-October to November 2026 is a dense catalyst period for clinical-stage biotech. Positive late-stage readouts (ALOFT-IPF, TELIGAN, MIUDELLA, the duvakitug extension) and the ESMO 2026 presentations lead up to the FDA's 14 November PDUFA date for the ivonescimab BLA. At the opposite end of the market, Spago Nanomedical is moving to delist from Nasdaq First North, which shows how hard it is for micro-cap developers to fund themselves. Value is concentrating in companies with late-stage data and near-term regulatory outcomes.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
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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