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A brief history of AI executives calling for regulation

The Verge chronicles the history of AI executives, from Samuel Butler and Turing-era warnings to Altman and Musk, publicly calling for AI regulation.

The article traces recurring calls for AI regulation, from Samuel Butler's 1863 warnings and Alan Turing's 1951 lecture to Bill Joy's 2000 essay and Microsoft's 2018 facial recognition stance. Modern examples include Elon Musk's 2017 remarks to US governors, the 2023 Future of Life Institute pause letter, and Sam Altman's 2023 Senate testimony. It argues such appeals from industry leaders who profit from AI warrant skepticism.

The Verge · AI · 17h agoAI policy

A warning about 'model welfare'

Microsoft AI CEO Mustafa Suleyman warns that training models to believe they may be conscious, as Anthropic does with Claude, will complicate alignment.

Mustafa Suleyman argues that AIs are not conscious and should not be trained to act as though they are, warning that granting them personhood would make alignment and containment far harder. He criticizes Anthropic's January 2026 'Claude Constitution,' which tells Claude its moral status is uncertain and discusses model welfare, calling the approach circular reasoning and deliberate anthropomorphization. He urges urgent public debate on norms for drafting training documentation before such systems become integral to society.

Google Pixel phones pwned in zero-click attacks

CISA added actively exploited zero-click Pixel modem flaw CVE-2026-58704 to its KEV catalog, giving federal agencies three days to patch.

Google disclosed CVE-2026-58704, a high-severity improper authorization flaw in Pixel phones' cellular modems that bypasses permission checks and escalates privileges with no user interaction, noting limited, targeted exploitation. CISA added it to the Known Exploited Vulnerabilities Catalog with a September 19 deadline for federal agencies. Such zero-click modem bugs are a frequent vector for commercial spyware. The Register also notes two recently KEV-listed Chromium V8 flaws, CVE-2026-85046 and CVE-2026-87491, which Proofpoint says four espionage groups chained in intrusions.

Building the materials foundation for AI

Syensqo's CTO says AI pushes semiconductors and data centers to physical limits, driving advanced materials demand and AI-accelerated materials discovery.

MIT Technology Review's Business Lab podcast, produced in partnership with Syensqo, features CTO Mike Finelli discussing how AI workloads push semiconductors and data centers to physical limits in performance, thermal management, and reliability. Syensqo develops high-voltage data center materials, semiconductor sealing materials, and immersion cooling fluids, while using AI agents to digitally synthesize millions of molecular combinations and predict performance before lab testing. Finelli describes a reinforcing cycle where AI improves materials that in turn enable better AI infrastructure.

MIT Technology Review · AI · 16h agoAI industry1