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.
Tether has invested in AIsa, which combines AI-agent access to data, models and APIs with usage-based payments in fiat or stablecoins.
Google Deep Review offers two free document checks a week, using AI agents to flag errors and weak arguments. Its benchmark results come with important limits.
Jensen Huang urges cooperation with Chinese AI researchers as the industry debates how to manage advanced systems and maintain effective human control.
Harmonic Security raises $50 million for contextual AI data protection, usage insights and Claude compliance integrations, bringing total funding to $76 million.
US attorneys general want users to be able to delete private chats before a Character.AI sale, with consent limits on AI training and other commercial uses.
Anthropic reportedly grew quarterly revenue 45% to $16.8 billion and reached adjusted profitability, strengthening its AI-race pitch ahead of a possible November IPO.
TV4 has delayed The Challenge Sverige to 2027 after losing its edited season. The broadcaster blames human error and a failed backup, not an AI agent.
The X Subscription combines Grok, Cursor and X Premium from $8 a month. Ultra includes 50x Plus usage, while third-party AI models cost extra.
H2O.ai’s 2026 AI 100 recognizes model builders, researchers and business leaders, with honorees spanning nearly 90 organizations worldwide.
XBOW used GPT-5.6 Sol to help build a Chrome exploit in six days, earning a $250,000 bounty. Expert researchers guided the work, and the bugs are fixed.