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Investing.com (citing The Information) ·

Report: Anthropic, Google (Gemini 4 Carbon), and OpenAI (a cheaper Terra model) all have new models in the pipeline

Per The Information, Anthropic is testing a model that infers your real goal from thin instructions (one tester says it traces a single bug to the broader problem and offers a fuller fix), Google is readying Gemini 4 Carbon above last week's Argon, and OpenAI may ship a new Terra model within weeks that beats GPT-6.1 Sol on price. None of it is announced yet, so treat names and timing as unconfirmed.

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Devin Fusion with an Opus 5.5 lead and GPT-6 Luna sidekick edges Muse Code for #1 on the AA Coding Agent Index

The pairing scores 68.1 on Artificial Analysis's Coding Agent Index v1.5 (DeepSWE 72.6, Terminal Bench 4 62.1, SWE Atlas QnA 69.6) at $9.01 and about 55 minutes per task, effectively tied with Muse Code on Muse Wonder Full at 68.0. Cognition says that's 31% cheaper per task than Claude Code with Opus 5.5, a vendor claim, and you can try it now in Devin CLI and Desktop (Cognition)…

Artificial Analysis

Microsoft Foundry's browser automation tool goes GA, with Live View, take control, and an MCP endpoint

Foundry agents now get a managed cloud browser (via Playwright Workspaces, provisioned as a separate Azure resource) that can reach public sites and private VNet apps, exposed to prompt or hosted agents through a toolbox's MCP compatible endpoint. Operators can watch sessions live, take over mid run, and require approval before clicks, typing, or uploads, which you enable only when a task needs them…

Microsoft Foundry Blog

Neural Concept's MCP Bridge lets AI agents drive CATIA, NX, ANSA, HyperMesh, and Abaqus

Built on MCP, the connectors let an agent carry engineering work from CAD (CATIA, NX) through meshing (ANSA, HyperMesh) to simulation (Abaqus) across Windows workstations and Linux clusters, with engineers setting goals and validating results; one customer cut a wheel rim geometry cleanup from a day to about three minutes. It's available now, but only to existing Neural Concept customers (SiliconANGLE)…

Neural Concept

Official MCP reference servers hit v2.0.0 on the 2026-07-28 spec, and now need Node 24

The filesystem, memory, sequential thinking, and everything servers move to TypeScript SDK v2 and the 2026 07 28 spec while still answering older clients, and the Python fetch, git, and time servers ( 2026.10.19 ) now return a JSON RPC 32602 error for unknown tools instead of an isError result. The TypeScript servers require Node 24 or later, and v1.0.0 (Oct 11) was the final legacy era release, so pin it if you can't upgrade yet…

GitHub (modelcontextprotocol/servers)

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