Cybersecurity experts argue that Anthropic's Mythos model is a wake-up call about systemic software vulnerabilities accumulated over decades, not a novel AI weapon, per Wired. The appropriate policy target is software infrastructure security rather than AI model regulation alone. The vulnerabilities Mythos finds at scale were built by developers who treated security as an afterthought for years.
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Google developed TurboQuant, a quantization algorithm that reduces the amount of memory required to run AI models, per the Financial Times. Semiconductor experts cited by FT cautioned that more efficient AI could drive even greater chip demand by enabling new applications at lower cost. Samsung and SK Hynix, which supply the majority of high-bandwidth memory for AI workloads, both posted record quarterly revenue driven by AI demand.
Read at FT ↗