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Airtable’s Superagent maintains full execution visibility to solve multi-agent context problem

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It’s a standalone research agent that deploys teams of specialized AI agents working in parallel to complete research tasks. The technical innovation lies in how Superagent’s orchestrator maintains context. Earlier agent systems used simple model routing where an…

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How SAP Cloud ERP enabled Western Sugar’s move to AI-driven automation

Presented by SAP Ten years ago, Western Sugar made a decision that would prove prescient: move from on-premise SAP ECC to SAP S/4HANA Cloud Public Edition. At the time, artificial intelligence wasn’t a priority on most roadmaps. The company was simply trying to escape what Director of Corporate Controlling, Richard Caluori, calls “a trainwreck:” a…

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SOC teams are automating triage — but 40% will fail without governance boundaries

The average enterprise SOC receives 10,000 alerts per day. Each requires 20 to 40 minutes to investigate properly, but even fully staffed teams can only handle 22% of them. More than 60% of security teams have admitted to ignoring alerts that later proved critical. Running an efficient SOC has never been harder, and now the…

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Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents

In the race to bring artificial intelligence into the enterprise, a small but well-funded startup is making a bold claim: The problem holding back AI adoption in complex industries has never been the models themselves. Contextual AI, a two-and-a-half-year-old company backed by investors including Bezos Expeditions and Bain Capital Ventures, on Monday unveiled Agent Composer,…

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How Moonshot’s Kimi K2.5 helps AI builders spin up agent swarms easier than ever

Chinese company Moonshot AI upgraded its open-sourced Kimi K2 model, transforming it into a coding and vision model with an architecture that supports an agent swarm orchestration.  The new model, Moonshot Kimi K2.5, is a good option for enterprises that want agents that can automatically pass off actions instead of having a framework be a…

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A European AI challenger goes after GitHub Copilot: Mistral launches Vibe 2.0

Mistral AI, the French artificial intelligence company that has positioned itself as Europe’s leading challenger to American AI giants, announced on Tuesday the general availability of Mistral Vibe 2.0, a significant upgrade to its terminal-based coding agent that’s the startup’s most aggressive push yet into the competitive AI-assisted software development market. The release is a…

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Theorem wants to stop AI-written bugs before they ship — and just raised $6M to do it

As artificial intelligence reshapes software development, a small startup is betting that the industry’s next big bottleneck won’t be writing code — it will be trusting it. Theorem, a San Francisco-based company that emerged from Y Combinator’s Spring 2025 batch, announced Tuesday it has raised $6 million in seed funding to build automated tools that…

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MCP shipped without authentication. Clawdbot shows why that’s a problem.

Model Context Protocol has a security problem that won’t go away. When VentureBeat first reported on MCP’s vulnerabilities last October, the data was already alarming. Pynt’s research showed that deploying just 10 MCP plug-ins creates a 92% probability of exploitation — with meaningful risk even from a single plug-in. The core flaw hasn’t changed: MCP…

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Qwen3-Max Thinking beats Gemini 3 Pro and GPT-5.2 on Humanity’s Last Exam (with search)

Chinese AI and tech firms continue to impress with their development of cutting-edge, state-of-the-art AI language models. Today, the one drawing eyeballs is Alibaba Cloud’s Qwen Team of AI researchers and its unveiling of a new proprietary language reasoning model, Qwen3-Max-Thinking. You may recall, as VentureBeat covered last year, that Qwen has made a name…

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Claude Code’s ‘Tasks’ update lets agents work longer and coordinate across sessions

One of the biggest constraints currently facing AI builders who want to deploy agents in service of their individual or enterprise goals is the “working memory” required to manage complex, multi-stage engineering projects. Typically, when a AI agent operates purely on a stream of text or voice-based conversation, it lacks the structural permanence to handle…

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