Chain of News 21/09/2026

**Top Story** Google’s CEO Sundar Pichai delivered a sweeping proclamation at a high‑profile tech summit, declaring that artificial intelligence will eclipse the Internet in transformative power. He argued that AI will spawn entire categories of businesses that are currently unimaginable, reshaping everything from content creation to supply‑chain optimization. For developers, the message is a clear call to embed generative models, reinforcement‑learning agents, and multimodal pipelines into the core of new products rather than treating AI as a bolt‑on feature. Pichai’s vision also hints at a forthcoming wave of cloud‑native AI services, meaning that teams will need to master cost‑effective scaling, data‑privacy compliance, and rapid model iteration to stay competitive. The broader implication is a shift in investment focus: venture capital and corporate R&D budgets are likely to flow toward AI‑first startups, accelerating the talent arms race and raising the bar for engineering excellence. SOURCES: [3] **AI Models & Research** No significant developments today. SOURCES: **Developer Tools & Frameworks** Linus Torvalds posted the seventh‑release‑candidate prepatch for Linux 7.3, a sizable update that tightens scheduler latency, adds early support for the upcoming ARMv9.2 extensions, and refines eBPF verifier checks. Developers can now experiment with the new preempt‑rt patches to achieve sub‑millisecond response times on edge devices, while the expanded eBPF capabilities open doors for custom observability hooks without kernel recompilation. Early adopters are encouraged to pull the rc4 tarball, run the comprehensive test suite, and begin integrating the ARM enhancements into their cross‑compilation pipelines to future‑proof IoT workloads. SOURCES: [2] **Industry & Business** No significant developments today. SOURCES: **Worth Watching** An Italian television segment explored physicist Valerio Rossi Albertini’s unconventional AI experiment, which uses neural networks to infer a person’s biological age from facial micro‑expressions and skin texture. While the methodology is still in a proof‑of‑concept stage, the project raises intriguing questions about privacy, biometric authentication, and the ethics of age‑based profiling in consumer apps. If the technique matures, developers could see new SDKs for health‑tech platforms that blend AI‑driven diagnostics with personalized user experiences, but they will also need to navigate emerging regulations around biometric data. SOURCES: [1]