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AI

137 articles

Latest AI news and reviews, aggregated from dozens of tech publications and updated every 15 minutes.

The Register

NanoClaw now armed with JFrog for safer packages

AI agents can't be trusted, so don't give them dangerous powers

AI summary NanoClaw, an open-source variant of OpenClaw, has partnered with software supply chain management company JFrog to launch a security integration designed to protect NanoClaw autonomous agents from malicious code injection. The collaboration aims to address risks associated with AI agents performing uncontrolled actions.

Also covering:VentureBeat

VentureBeat

Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Moonshot AI released Kimi K2.7-Code this week, an open-source update to its K2 coding model family, claiming leaner reasoning and double-digit performance gains. K2.7-Code is built on the same trillion-parameter mixture-of-experts architecture as its p redecessor K2.6 , and drops in via an OpenAI-compatible API — which matters for teams already running K2.6 in production gateways. When K2.6…

TechRadar

OpenAI's latest acquisition could see big changes on the way for its Codex coding assistant

OpenAI to snap up Ona, subject to approval, giving Codex access to the right environment for long-running agentic tasks.

AI summary OpenAI announced its acquisition of Ona, a cloud development environment provider formerly known as Gitpod, subject to regulatory approval. The move aims to integrate Ona's secure cloud execution infrastructure into the Codex coding assistant, enabling long-running agentic tasks. Additionally, OpenAI has updated Codex's quota rules, allowing users to defer quota resets for more flexible use, a change seen in the context of competition with Anthropic.

VentureBeat

PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x

Most enterprise RAG pipelines start the same way: a text parser converts web pages and documents into plain text so they can be chunked and indexed for retrieval. That conversion step destroys retrieval signals — and according to new research, it's responsible for the majority of wrong answers. A research team from UC Berkeley, Princeton University, EPFL and Databricks published a paper this week…