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.
OpenAI launched ChatGPT for Teens, a version with default safety protections, learning tools and parental controls, automatically applied to users it identifies as under 18.
Trump-backed World Liberty Financial is working with WorldClaw, an AI platform offering restricted Chinese models, letting the family profit as its stablecoin is used for payment.
Anthropic’s annualized revenue run rate reached $65 billion at the end of July, a sevenfold jump in seven months, as the Claude maker prepares for a potential fall IPO.
AI video startup Higgsfield raised a $400 million Series B at a $5.4 billion valuation, more than quadrupling its worth in eight months as it pushes into enterprise marketing.
Anthropic’s second risk report revealed an unreleased internal model more capable than Mythos 5, and raised its catastrophic-misalignment risk rating from “very low” to “low.”
The US is preparing to warn dozens of countries they must choose between its Pax Silica AI coalition and China’s competing framework, or risk exclusion, according to a leaked draft.
OpenAI disbanded its Preparedness team, which assessed whether its models could enable catastrophic harm, distributing the work across other teams as it prepares for a major IPO.
Investors expect Anthropic to target a valuation of $2 trillion or more in an October IPO, which would be the largest listing in history, driven by surging revenue.
Alibaba released the open weights for Qwen3.8-Max, a 2.4-trillion-parameter model it says trails only Anthropic’s Fable 5, its first openly released flagship-class system.
Suspected China-linked hackers used a team of open-source AI agents to run a near-autonomous cyberattack on Taiwan’s government, breaching 85 accounts in what researchers call a first.