Taiwan court hands ex-Tokyo Electron engineer a 10-year sentence for stealing TSMC proprietary data — part of a broader IP security crackdown on semiconductor leakage pathways.
Oxford professor Wooldridge warns a single AI failure in cars, airlines, or finance could kill the industry — like the Hindenburg destroyed airships — in his Royal Society Faraday lecture.
Trump fires all 24 NSF board members by email, ending 76 years of independent oversight of the $9B/year US science funding agency.
Maine's governor vetoes the first proposed US state data center moratorium, citing failure to exempt a distressed mill town project — but the legislative signal stands.
The Midas Project links 'The Wire,' an AI-generated site attacking AI critics, to Leading The Future — an OpenAI-backed super PAC. First confirmed AI-industry political-media overlap.
China's SAMR launches a first-of-its-kind 6-month crackdown on the online ad sector, explicitly targeting AI misuse in advertising.
Trump threatens UK with major tariffs unless the digital services tax targeting US tech companies is dropped, escalating transatlantic trade tensions.
SpaceX S-1 discloses multiple CSAM investigations into xAI's Grok as a material risk to global market access — a first for an IPO filing.
New preprint: LLMs are enabling pro se federal court filings at unprecedented rates—the first empirical evidence AI is breaking effort-gated institutional systems.
NCMEC logged 1.5M AI-linked CSAM reports in 2025 — a 22x single-year jump from 67K — revealing AI-enabled abuse is accelerating far beyond law enforcement capacity.
The European AI Board released comprehensive implementation guidelines four months ahead of the August 2 enforcement date.
The European AI Board released its first formal implementation guidelines, clarifying risk classification criteria and technical documentation requirements ahead of the August 2026 enforcement date.
With the EU AI Act enforcement date approaching in August 2026, this report maps the compliance landscape — from risk classification to technical documentation requirements — and identifies the most common gaps in enterprise readiness.
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