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

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

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

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

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

    60% confidence
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Late-2026 Biotech Catalyst Season: FDA Decisions and Pivotal Readouts Converge Across Oncology, Hepatology and Cardiometabolic
Mid-November 2026 is dense with scheduled biotech catalysts. The ivonescimab BLA PDUFA date is 2026-11-14, the lorundrostat PDUFA date is 2026-12-22, and Phase 3 ECLIPSE hepatitis delta data are due in Q1 2027. Alongside these, siRNA and antibody programs (plozasiran, elebsiran/tobevibart, ianalumab, nipocalimab) reported or presented data at AHA, AASLD, ACR and ASH, while Oryzon advanced iadademstat in AML with Spanish trial authorizations and a planned ALICE-3 Phase III. Late-stage data and regulatory milestones are driving the sentiment. A planned delisting (EGM 2026-11-19, application 2027-01-25) is a separate corporate-structure event with no clear link to the rest.
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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.
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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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