OpenAI has released an analysis questioning the reliability of SWE-Bench Pro, a popular coding benchmark used to evaluate AI models. The analysis points out potential inaccuracies in the benchmark's assessments, raising concerns about how AI coding capabilities are measured. This finding suggests that current benchmarks may not accurately reflect AI performance, prompting a need for more reliable evaluation tools. The implications could lead to significant changes in how AI models are tested and validated in the future.
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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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