Less than a week after Anthropic released 11 open-source plugins that enable Claude Cowork to execute a series of automated processes in areas ranging from customer support to IT operations, OpenAI responded Thursday with a similar platform it calls Frontier.   It said that its offering “gives agents the same skills people need to succeed

The tech world was taken aback this week by the unexpected departure of HP CEO Enrique Lores, who left the device giant to head PayPal. But, according to industry experts, the company will fare well against this kind of shakeup as long as it is able to execute on AI PCs, show definitive ROI, differentiate

Well, that escalated quickly.  I’m talking, of course, about OpenClaw (a.k.a. Moltbot a.k.a. Clawdbot), which not only represents a headlong rush into unchecked agentic AI, but also an emerging ecosystem that reads like every dystopian cautionary cyberpunk novel ever written.  As my colleague and friend Steven Vaughan-Nichols detailed earlier this week, it’s a “security nightmare.” 

As OpenAI races toward its ambitious US$100 billion revenue target by 2027, the ChatGPT maker is reportedly building an army of AI consultants to bridge the gap between cutting-edge technology and enterprise boardrooms—a move that signals a fundamental shift in how AI companies are approaching the notoriously difficult challenge of enterprise adoption. According to industry

Researchers from Microsoft have unveiled a scanning method to identify poisoned models without knowing the trigger or intended outcome. Organisations integrating open-weight large language models (LLMs) face a specific supply chain vulnerability where distinct memory leaks and internal attention patterns expose hidden threats known as “sleeper agents”. These poisoned models contain backdoors that lie dormant

The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market in a clear transition. Early excitement over generative models is fading. Enterprise leaders now face the friction of fitting these tools into current stacks. Day two sessions focused less on large language models and more

At a glance Microsoft Research releases PazaBench and Paza automatic speech recognition models, advancing speech technology for low resource languages. Human-centered pipeline for low-resource languages: Built for and tested by communities, Paza is an end-to-end, continuous pipeline that elevates historically under-represented languages and makes speech models usable in real-world, low-resource contexts. First-of-its-kind ASR leaderboard, starting

At a glance Imitation learning becomes easier when an AI agent understands why an action is taken. Predictive Inverse Dynamics Models (PIDMs) predict plausible future states, clarifying the direction of behavior during imitation learning. Even imperfect predictions reduce ambiguity, making it clearer which action makes sense in the moment. This makes PIDMs far more data‑efficient than traditional approaches. Imitation learning teaches AI agents by example: show the

Apollo.io, a leading AI-native go-to-market platform, today announced that Matt Curl has been appointed Chief Executive Officer, effective immediately. Founder Tim Zheng will continue as Chairman of the Board. Curl and Zheng have partnered closely for nearly six years, and Curl has worked with Apollo across multiple stages of the company’s journey, including advising the

EdgeLake’s advancement to LF Edge Stage 2 (Growth) signals growing adoption and maturity, reinforcing LF Edge’s momentum in production-ready edge infrastructure. With MCP enabling real-time AI access to live edge data without centralization, EdgeLake strengthens LF Edge’s momentum in AI-native, production-ready edge architectures. LF Edge projects are seeing increased cross-community collaboration and real-world implementations, demonstrating