Article URL: https://med.stanford.edu/news/all-news/2026/09/two-separate-brains.html Comments URL: https://news.ycombinator.com/item?id=49763697 Points: 3 # Comments: 1
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Agentic Design System sandeep kumar patel Sep 19 Add Comment 1 min read
AWS publicly acknowledged on September 15, 2026, that customer data has been permanently lost across its Bahrain (me-south-1) and UAE (me-central-1) regions following a series of military attacks between March and July 2026. The Bahrain region suffered complete, unrecoverable data loss across all three Availability Zones, while one of three AZs in the UAE region also lost data irretrievably. AWS stated that the destruction spread across multiple Availability Zones, exceeding what its regional and multi-AZ architecture was designed to withstand — effectively acknowledging that multi-AZ redundancy does not protect against large-scale physical warfare. Structural damage, power disruption, and water damage from firefighting operations were cited as key causes of the infrastructure failure. Data lost belonged primarily to customers who had not migrated workloads or maintained backups in other regions before the outages occurred.
A recent computer science graduate from Graphic Era Hill University developed a Secure School Management Portal after learning about a 2023 cyber fraud incident in Dehradun, Uttarakhand. In that incident, school manager Shambhu Prasad Pancholi lost ₹95,000 after a fraudster posing as a student's parent sent malicious WhatsApp links that enabled four unauthorized bank transactions. The incident, reported by the Times of India, required no OTP and exploited the manager's trust in a routine fee-payment scenario. Motivated by the case, the developer built a web portal with separate access portals for admins, teachers, and students, incorporating multiple layers of security including authentication and access control. The project, completed as a final-year initiative in 2025, was a personal learning exercise and is not affiliated with the school involved in the original fraud.
A technical concept dubbed DLSS5-Autopilot proposes a method to bring NVIDIA's Deep Learning Super Sampling (DLSS) to older games that never received native support. Rather than requiring game engine modifications, the hypothetical framework operates at the OS driver boundary, intercepting DirectX 12 and Vulkan graphics calls after the game engine has already issued its commands. The system is described as having three layers: an interception layer that hooks GPU API calls, a background inference engine running on Tensor Cores, and a shader hot-swap module that reroutes frames through the DLSS pipeline. This approach targets thousands of AAA titles released between 2015 and 2021 whose closed-source engines make traditional DLSS integration impossible. The article, originally published on tamiz.pro, notes that DLSS5-Autopilot is a hypothetical framework extrapolated from existing NVIDIA driver capabilities and user-space injection techniques, not a released product.
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