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.
Google has limited Meta’s use of its Gemini AI models after Meta sought more computing capacity than Google could supply, delaying some of Meta’s internal projects.
OpenAI is leaning toward pushing its IPO to 2027 rather than accept less than a $1 trillion valuation, weeks after filing confidentially for a US listing.
Gemini 3.5 Flash computer use folds screen control into one cheap model with prompt-injection safeguards, though it is a preview and the benchmark is self-reported.
GPT-5.6 Sol brings stronger coding and cyber capabilities with OpenAI’s most robust safeguards, but a government-approved rollout echoes the Anthropic model ban.
Anthropic is hiring across Australia and Japan to expand its AI data center capacity in Asia-Pacific, as soaring demand for Claude strains its infrastructure.
OpenAI updated GPT-5.5 Instant, ChatGPT’s default model, to feel more conversational and handle advice, planning and shopping better across longer exchanges.
Anthropic told US senators that Alibaba-linked operators used about 25,000 fake accounts to extract Claude’s capabilities in what it calls its largest known distillation attack.
Cursor unveiled its first from-scratch AI model, an agent-first Git platform called Origin and an iOS app, days after SpaceX’s $60 billion acquisition of its parent.
Web3 gaming unicorn Immutable cut 29 roles and gutted its in-house game studios to focus on Audience, an AI marketing platform for the broader games industry.
SK Hynix filed to raise about $29 billion through a Nasdaq ADR listing set for July 10, roughly double earlier estimates, to fund its AI memory expansion.