Agentic AI describes software that works toward an objective by deciding what to do next rather than waiting for a new instruction at every step. A typical agent interprets the goal, creates a plan, calls permitted tools, reviews the result, and adjusts when an action fails. This makes the approach useful for research, coding, customer operations, and other tasks that span several systems or decisions. Autonomy does not mean unlimited control: production agents should operate within explicit permissions, spending limits, data boundaries, and stopping rules. Logs and human approval checkpoints help teams trace decisions and intervene before an incorrect plan causes wider effects.
Kristalina Georgieva warns AI could reshape 40% of jobs worldwide, with young graduates facing pressure as routine entry-level work is automated.
Microsoft CEO Satya Nadella wants humans to be able to stop advanced AI mid-task, with independent controls, audit trails and limits on agent access.
Odyssey-3 generates worlds that respond to actions, leads a published physics benchmark and powers robot demonstrations. Flash is available to try in a browser.
Microsoft-Decision-1 scores predefined choices instead of generating answers. It is available on Foundry and OpenRouter at $0.042 per million input tokens.
Anthropic details unintended Claude agent actions on government websites. Philadelphia police says a fabricated homicide tip was blocked as spam.
AI companies are rehearsing potential crisis responses, Axios reports. OpenAI says the scenarios are not inevitable, while recent incidents test safeguards.
Google Cloud’s Gemini agent can create subagents and use Claude alongside Gemini. Background delegation and third-party models remain in early access.
Manus raises more than $500 million in its first funding round since separating from Meta, with Boyu Capital and IDG Capital leading the financing.
Claude Haiku 5.5 cuts costs for everyday AI tasks, with API rates up to 20x below Sonnet and Anthropic-reported benchmark gains over GPT-6 Luna.
BlackRock sees stablecoins as a potential payment method for AI agents buying data and compute, while the Bitcoin savings thesis rests on simulations.