A now corrected issue let researchers circumvent Apple’s restrictions and force the on-device LLM to execute attacker-controlled actions.

At MLH, the mission has always been to help developers learn by doing. As AI applications shift from simple chat interfaces to complex, long-running agents, the need for persistent state has become ...

Running Dynamics 365 and Salesforce side by side is more common than most teams admit. Sales teams that grew up on Salesforce ...

Peter Bailis, Workday's CTO since May 2025, has joined Anthropic as a member of technical staff to work on reinforcement ...

CESMII’s Jonathan Wise explains that i3X doesn't replace existing industrial standards, it snaps on top of them to deliver ...

Google's new API key architecture has come under scrutiny due to significant security flaws that potentially expose user data ...

Researchers from Google DeepMind, Microsoft, Columbia University, and T54 Labs want to build a financial safety net around ...

Payers are investing in automation, but many are still losing revenue after claims are processed Our approach is to ...

Amid rapid enterprise growth, Anthropic is trying to lower the barrier to entry for businesses to build AI agents with Claude ...

Muse Spark powers a smarter and faster Meta AI assistant, and will be rolling out to WhatsApp, Instagram, Facebook, Messenger ...

In an AI-native workflow, the audience for your error messages is an LLM, not a human. Compare "invalid query parameter name ...

Antigravity Mission Control paired with Arcade.dev MCP runtime forms an autonomous AI engineering team that can execute tasks ...