Google DeepMind published “Start building with Nano Banana 2 Lite and Gemini Omni Flash” dated 2026-06-30. Full context remains on the original page.
Source: Google DeepMind
Meta Engineering published “Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study” dated 2026-06-25. According to the Meta Engineering feed, privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function. The same item also notes that before such a control can operate…
Source: Meta Engineering
Meta Engineering published “SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems” dated 2026-05-26. According to the Meta Engineering feed, we’re introducing SilverTorch, a reimagining of recommendation systems that unifies all retrieval components for user generated content under a unified architecture. The same item also notes that SilverTorch shows up to 23.7x higher throughput…
Source: Meta Engineering
VentureBeat published “Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.” dated 2026-05-19. According to the VentureBeat feed, for a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. The same item also notes that on…
Source: VentureBeat
Meta Engineering published “Modernizing the Facebook Groups Search to Unlock the Power of Community Knowledge” dated 2026-04-21. According to the Meta Engineering feed, we’ve fundamentally transformed Facebook Groups Search to help people more reliably discover, sort through, and validate community content that’s most relevant to them. The same item also notes that we’ve adopted a new hybrid retrieval architecture…
Source: Meta Engineering
Meta Engineering published “Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale” dated 2026-04-16. According to the Meta Engineering feed, we’re sharing insights into Meta’s Capacity Efficiency Program, where we’ve built an AI agent platform that helps automate finding and fixing performance issues throughout our infrastructure. The same item also notes that by leveraging encoded…
Source: Meta Engineering