Hacker News
Claude Code Found a Linux Vulnerability Hidden for 23 Years
Claude Code uncovered a Linux kernel vulnerability that had gone undetected for over two decades, raising serious questions about what else might be lurking in long-established codebases. The find demonstrates AI-assisted security research moving beyond novelty into genuine utility, capable of surfacing flaws that years of human review missed. For security teams, it's a signal that AI code analysis tools deserve a serious place in vulnerability audits.
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Anthropic is having a moment in the private markets; SpaceX could spoil the party
Anthropic has emerged as the most sought-after name in private secondary markets, overtaking OpenAI as investor appetite shifts toward the Claude maker. But SpaceX's long-anticipated IPO could soon redirect significant capital, cooling demand for private tech shares across the board.
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Ars Technica
Elon Musk insists banks working on SpaceX IPO must buy Grok subscriptions
Elon Musk is reportedly requiring banks that want a role in SpaceX's highly anticipated IPO to purchase tens of millions of dollars in Grok AI subscriptions as a condition of their involvement. The New York Times report highlights how Musk is leveraging SpaceX's financial allure to drive revenue to his separate AI venture, xAI. It's a stark example of how concentrated power across multiple high-value companies can be used to extract commercial concessions from even the most established financial institutions.
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After fighting malware for decades, this cybersecurity veteran is now hacking drones
Mikko Hyppönen, the veteran threat researcher known for tracking some of the world's most dangerous malware, has turned his attention to a new frontier: counter-drone technology. With autonomous weapons becoming an increasingly urgent battlefield reality, Hyppönen argues that cybersecurity expertise is directly transferable to defeating drone threats. It is a sharp pivot that underscores how the line between digital and physical security continues to blur.
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Apple: Embarrassingly Simple Self-Distillation Improves Code Generation
Apple researchers have found that a straightforward self-distillation technique — where a model learns from its own outputs — meaningfully boosts performance on code generation tasks. The approach requires no external data or complex training pipelines, making it unusually accessible for a capability improvement of this magnitude. For teams building or fine-tuning coding models, this suggests significant gains may be hiding in overlooked, low-overhead training strategies.
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