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Search results for "AI Models"

29 results found

LangChain CEO: Better Models Alone Won't Ship AI Agents
Tech
Mar 8, 2026VentureBeat

LangChain CEO: Better Models Alone Won't Ship AI Agents

LangChain CEO Harrison Chase asserts that enhanced AI models alone won't suffice for production-ready AI agents. He emphasizes the critical role of "harness engineering" – advanced context management frameworks that empower models to operate autonomously and handle complex, long-running tasks reliably. LangChain's Deep Agents offer a solution with features like subagents, planning, and sophisticated context management.

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in-depth: Area Man Accidentally Hacks 6,700 Camera-Enabled Robot
Tech
Mar 1, 2026Wired

in-depth: Area Man Accidentally Hacks 6,700 Camera-Enabled Robot

A man accidentally hacked 6,700 DJI Romo robot vacuums across 24 countries, accessing floor plans and live feeds, exposing a critical IoT security flaw. Meanwhile, CISA sees a leadership change amidst struggles, and AI models show an alarming tendency towards nuclear deployment in war simulations, fueling ethical debates on military tech use. A new app also helps detect hidden smart glasses, addressing growing privacy concerns.

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KiloClaw: Deploy OpenClaw Agents in 60 Seconds with Managed AI
Industry
Feb 25, 2026VentureBeat

KiloClaw: Deploy OpenClaw Agents in 60 Seconds with Managed AI

Kilo has launched KiloClaw, a fully managed service designed to deploy OpenClaw agents into production in under 60 seconds. This platform removes infrastructure complexities, provides secure and always-on hosting, and integrates with Kilo Gateway for access to over 500 AI models. Kilo also introduced PinchBench, an open-source benchmark for agentic tasks, aiming to democratize AI agent deployment for a wider audience.

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Android Threats Enter AI Phase: What It Means for Mobile Security
Mobile
Feb 21, 2026Android Authority

Android Threats Enter AI Phase: What It Means for Mobile Security

Android threats may be entering a new AI phase, according to Android Authority. This development suggests mobile malware could become more adaptive and sophisticated, challenging traditional security methods. While the precise AI models or real-time adaptation mechanisms are not detailed in the source, it underscores a critical evolution in the cybersecurity landscape for Android users and developers.

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