Gemini is a topic tracked in our intelligence system with 5 linked articles.
Stateless MCP update could simplify AI infra at scale, Google pursues a far more efficient Frozen v2 chip, regulatory and export-control questions loom over open-weight models, and public-interest AI funding (Current AI) plus Japan’s Noetra plan signal strategic shifts in AI infrastructure.
Google's Frozen v2 AI chip aims to dramatically improve Gemini efficiency (6-10x tokens-per-watt) with a 2028 release, while related infrastructure, regulatory, and funding developments shape the broader AI hardware and policy landscape.
Adobe’s experimental camera app Project Indigo adds AI-driven photo critique and editing guidance (plus object removal, depth of field, and style transfer) and uses Gemini-based Nano Banana with room to swap in Firefly; features are in testing with select users, signaling potential future AI-assisted photography tools but no monetization or regulatory changes yet.
Moonshot AI’s open-source Kimi K3 prompts heightened regulatory and geopolitical risk around open-weight AI, with market implications and wealth-concentration debates likely to influence policy and IPO dynamics.
Google’s AI Mode now supports linking and interacting with select apps (e.g., Instacart, Canva, YouTube) to complete tasks, with US rollout and more apps coming, signaling a shift from Q&A to cross-app task execution and stronger competitive positioning versus ChatGPT/Claude.
Google renames NotebookLM to Gemini Notebook and adds code-execution notebooks with secure containers, rolling out to paid tiers and tying future access into Gemini.
Subscribe for real-time topic updates and unlimited access to our intelligence platform.