
Meta AI is developing a new system called Hierarchical Interest Representation to optimize ad performance on its platforms. This system uses transformer-based graph learning to create unified embeddings that link user interests with advertiser offerings. By combining real-world knowledge with engagement signals, it aims to improve ad relevance and personalization. This approach could transform how ads are delivered, making them more aligned with user interests and enhancing the overall ad experience.
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© WIRED AICisco Talos has uncovered a new infostealer strain that actively uses commercial LLMs to profile victims and prioritize high-value targets. Dubbed Volta-Autodoxer, the malware collects credentials and browsing data, then feeds this into models like Claude Opus 4.6 via OpenRouter to generate structured intelligence dossiers. This marks a shift from passive data theft to active, AI-driven triage, allowing attackers to bypass guardrails with fallback models like Kimi K2 or Gemini. The capability foreshadows a future where lower-sophistication criminals can execute sophisticated, targeted attacks at scale.
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