According to The Rundown AI, today’s top tech updates span AI-adjacent storage, platform policy, and semiconductor security. As reported by Microsoft Research, Project Silica has advanced glass-based archival storage capable of preserving data for thousands of years, a development that could reshape AI data lakes and model artifact retention by enabling ultra-durable, low-energy cold storage at hyperscale. According to the U.S. Department of Justice via multiple outlets, three engineers were charged in a Google chip intellectual property theft case, underscoring escalating risks to AI accelerators and custom TPU design secrets that power large-scale training. As reported by court coverage referenced by The Rundown AI, Mark Zuckerberg defended Instagram in a landmark trial focused on platform impacts—policy outcomes here could influence AI-driven recommendation systems and safety guardrails across social media. According to Stanford University communications reported by The Rundown AI, a new broad-spectrum respiratory vaccine research milestone highlights biocompute opportunities where AI-driven protein design and model-based trial optimization could compress timelines. For AI businesses, the storage breakthrough implies new cost curves for model checkpoints and dataset compliance archives; the Google case signals tighter trade secret controls across chip design workflows; and platform regulation may drive demand for explainable recommender models and content moderation AI.