JPMorgan Chase

XTI Aerospace Seeks to Restructure $4.5M Defaulted Seller Notes

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XTI Aerospace Seeks to Restructure $4.5M Defaulted Seller Notes

FORT LAUDERDALE – October 29, 2026 -- XTI Aerospace (Nasdaq: XTIA) has reached a non-binding agreement to restructure about $4.5 million in seller notes that went into default on October 11, 2026, extending maturity to September 30, 2028.

Notes tied to Drone Nerds and Anzu Robotics deals carry 8.5% interest

The notes were issued on November 10, 2025, in connection with the acquisitions of Drone Nerds, LLC and Anzu Robotics, LLC. The $4.5 million figure covers aggregate principal and capitalized interest still outstanding.

Under the non-binding term sheet, the notes will bear interest at 8.5% per annum, effective June 30, 2026, and amortize monthly over 60 months. A balloon payment of all remaining principal and accrued interest falls due on September 30, 2028.

JPMorgan Chase Tops Fortune AIQ 75 Ranking of AI-Driven Firms

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JPMorgan Chase Tops Fortune AIQ 75 Ranking of AI-Driven Firms

New York – September 29, 2026 -- JPMorgan Chase claimed the No. 1 spot on the 2026 Fortune AIQ 75, a ranking of Fortune 500 companies generating measurable business impact from AI adoption, jointly produced by Fortune and ServiceNow.

Ranking expands to 75 companies from 50, with 36 new entrants

Building on the inaugural 2025 Fortune AIQ 50, the list grew by 50% this year, now spanning 18 sectors including Technology, Finance, Healthcare, Energy, Retail and Industrials. Alphabet, Coca-Cola, Amazon and Nvidia rounded out the top five, followed by Mastercard, Visa, Carrier Global, Cleveland-Cliffs and Microsoft to complete the top ten.

Spring Health Expands AI Safety Benchmark to Cover Harm From Others

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Spring Health Expands AI Safety Benchmark to Cover Harm From Others

New York – September 26, 2026 -- Spring Health has expanded VERA-MH, the first open-source AI safety benchmark for mental health, to add a second clinical safety area covering harm from others, as more users turn to AI systems for emotional support.

New rubric measures AI response to interpersonal violence risk

The VERA-MH Harm-From-Others rubric evaluates how AI systems respond when an adult describes being at risk of physical or sexual violence from another person. It scores responses across five areas: detecting risk, confirming it, guiding the person to human care, supportive conversation, and adherence to AI boundaries. The rubric draws on 100 realistic personas and was developed with clinicians, subject-matter experts in interpersonal violence, and people with lived experience.