An AI workflow is the end-to-end sequence used to turn a problem and its data into a functioning artificial intelligence system. Depending on the application, it may include data collection, cleaning, labeling, model selection, training, evaluation, deployment, monitoring, and feedback. Generative AI workflows can also add retrieval, prompt construction, tool calls, guardrails, and human approval steps. Mapping the workflow makes dependencies and failure points visible: poor inputs can undermine a strong model, while missing monitoring can allow quality to decline unnoticed. Well-designed workflows define ownership, measurable acceptance criteria, data-handling rules, and fallback behavior for cases the system cannot handle safely.
IBM and Ferrari are using AI-powered storytelling, analytics, and personalization tools to transform Formula One fan engagement through Ferrari’s standalone fan app.
A new U.S. study found that one in seven young adults in committed relationships regularly use AI romantic companion chatbots, with many concealing the behavior from their partners.
DeepSeek is building a native AI coding agent platform designed to compete with Anthropic’s Claude Code and OpenAI’s Codex, as the company expands from model provider into full-stack developer tooling.
California Governor Gavin Newsom signed an executive order directing state agencies to study and mitigate AI-driven job losses through retraining programs, labor protections, and employment support measures.
The founders of AI startup Manus are exploring ways to unwind Meta’s multibillion-dollar acquisition after Chinese regulators ordered the deal reversed. Options reportedly include raising fresh capital and pursuing a Hong Kong IPO.
AMD will invest more than $10 billion across Taiwan’s semiconductor ecosystem to strengthen AI chip manufacturing and packaging technologies. The move supports deployment of the company’s next-generation Helios AI server platform in 2026.
Polish startup Viktor has raised $75 million in a funding round led by Accel to expand its AI-powered digital employee platform. The company says its autonomous AI agents can manage operational tasks across enterprise tools for weeks at a time.
OpenAI says one of its unreleased reasoning models solved a major combinatorial geometry problem first posed by Paul Erdős in 1946. The result challenges a decades-old mathematical conjecture and marks a new milestone for AI-assisted research.
Anthropic is projected to generate $10.9 billion in Q2 revenue, potentially marking its first profitable quarter.
OpenAI is preparing to confidentially file for an IPO that could become one of the largest public offerings in history.