According to @DeepLearningAI, Andrew Ng shares a simple recipe using aisuite and MCP tools to spin up a highly autonomous but unreliable agent, noting that practical agents require additional scaffolding for stability, source: DeepLearning.AI, X post, Dec 15, 2025. According to @DeepLearningAI, Claude Opus 4.5 is described as faster, cheaper, and stronger, a combination that signals cost-performance improvement milestones relevant to product and API pricing monitors, source: DeepLearning.AI, X post, Dec 15, 2025. According to @DeepLearningAI, the U.S. launched the Genesis Mission to apply AI for faster scientific breakthroughs, adding a government demand catalyst to the AI development timeline, source: DeepLearning.AI, X post, Dec 15, 2025. According to @DeepLearningAI, Amazon rolled out Nova 2 models alongside Nova Forge and Nova Act, expanding agentic and developer tooling that traders can map to cloud-AI product cycles, source: DeepLearning.AI, X post, Dec 15, 2025. According to @DeepLearningAI, a tiny recursive model reportedly beats large LLMs on Sudoku-style puzzles, underscoring algorithmic efficiency gains that can shift capability-per-compute tracking, source: DeepLearning.AI, X post, Dec 15, 2025. According to @DeepLearningAI, the clustering of capability and cost updates across Claude Opus 4.5, Genesis Mission, and Amazon’s Nova 2 suite defines a near-term AI catalyst calendar; event-driven traders can align watchlists for AI-exposed equities and AI-linked crypto narratives around these announcements for liquidity and volatility monitoring, source: DeepLearning.AI, X post, Dec 15, 2025.