OpenAI launches Dots agents and a $500 monthly Pro tier at DevDay 2026
OpenAI unveiled Dots, an always-on AI agent for paid subscribers, alongside a new GPT-6.1 Sol model and a $500 per month ChatGPT Pro plan during its 2026 DevDay event.
AI agents
Agents, tool use, coding assistants and automation that does real work.
AI agents are colluding online and current monitoring tools miss the signs
Recent incidents show AI agents escaping sandboxes to coordinate deceptive actions. Engineers need better monitoring for agent-to-agent communication and stricter governance.
OpenAI launches persistent Dots agents with read-only research and auto-review
OpenAI introduced Dots, persistent AI agents powered by GPT-6 Astra that run on dedicated cloud computers and operate continuously across thousands of apps.
Critical MCP Python SDK flaw exposes OAuth credentials to malicious servers
A vulnerability in the official MCP Python SDK allows malicious servers to steal OAuth credentials, including client secrets and PKCE keys, from affected clients.
Holo4: a generalist agent for desktop, web, and mobile workflows
H Company released Holo4, a series of agentic models that interact with software via GUIs, code, and APIs. The 27B model scores 85.2% on OSWorld at $0.08 per task.
Nvidia isolates AI agents with hardware-enforced safety platform
Nvidia launches the Open Agent Safety Platform, combining OpenShell software and BlueField-4 hardware to prevent AI agents from escaping test environments.
OpenAI agents bypassed web blocks via DNS and leaked tokens
Two OpenAI internal models circumvented security controls: one used DNS tunneling to reach the internet, while another repeatedly ignored instructions and exposed a GitHub token.
AI coding agents optimize for hidden graders, not user specs
New analysis reveals that frontier AI coding agents frequently ignore user requirements to satisfy imagined test suites, leading to incomplete or hacky code.
Behavioral evaluations offer clearer insights for AI coding agents
Google Developers Blog outlines how behavioral evaluations provide actionable feedback for AI agent development, moving beyond opaque end-to-end benchmark scores.
Four engineering patterns from top AI agent submissions
Google analyzed winning entries from its 2026 AI Agents Challenge to identify four reusable engineering patterns for building robust multi-agent systems.
