MLOps is the set of practices used to move machine learning from experiments into reliable production services. It connects data preparation, training pipelines, experiment tracking, model registries, automated testing, deployment, monitoring, and retraining with software engineering and operational controls. Unlike ordinary application code, a model can degrade when incoming data or real-world behavior changes even if no code was modified. MLOps therefore tracks data quality, performance, drift, lineage, versions, and infrastructure alongside uptime and errors. Effective implementation also defines approval gates, rollback procedures, security, cost controls, and clear ownership among data scientists, engineers, platform teams, and domain experts.
Anthropic has introduced “Routines” in Claude Code, enabling autonomous AI workflows triggered by schedules, APIs, or GitHub events.
A new national poll shows 50% of Americans used AI in the past week, with ChatGPT leading adoption across work, learning, and creative tasks.
AWS has launched Amazon Bio Discovery, an AI-powered platform that helps scientists design, test, and refine drugs faster using integrated models and lab workflows.
OpenAI has acquired personal finance startup Hiro Finance in an apparent acquihire, bringing its team and expertise into its growing AI ecosystem.
Novo Nordisk is teaming up with OpenAI to use AI in drug discovery and development, aiming to speed up treatments for obesity and diabetes.
X will launch its XChat messaging app on iOS, marking a key step in Elon Musk’s plan to build a WeChat-style super app.
HappyHorse-1.0, an open-source AI video model, has topped global benchmarks, outperforming leading proprietary systems and signaling a shift in the video generation market.
Meta is reportedly building an AI-powered version of Mark Zuckerberg to interact with employees, as part of its broader push into advanced AI systems.
Anthropic has introduced Ultraplan for Claude Code, a new feature that shifts software planning tasks from the terminal to the cloud so developers can review, revise, and execute agent-generated plans more flexibly.
A new documentary featuring top AI leaders explores the tension between optimism and fear surrounding artificial intelligence, highlighting public uncertainty about its future.