Opus 5.5 imminent ⏳, Grok 4.7 🚀, MiMo v2.6 🤖

AI security goes far beyond choosing the right model. Right now, teams are (rightly) asking where AI runs, who has access, and what data they can reach.

That's why VAST Data is extending its AI Operating System to manage model choice, placement, access, security, and cost across data centers, clouds, and the edge.

Xiaomi MiMo-V2.6 Pro and Flash are omnimodal models that can coordinate agents to construct and visually test interactive 3D scenes. They can create Blender assets, control a robotic arm from camera feeds, produce frontends and presentations, assemble videos, and compose music as scores and MIDI. The models are now available in AI Studio, MiMo Code, MiMo Desktop, Xiaomi's MiMo API Platform, and OpenRouter. Xiaomi has published the technical report, training environments, and RL code alongside the models.

Reinforcement learning is the central training paradigm for advancing large foundation models towards self-improvement. The Mimo-V2.6 series is an omni-model family that pushes the frontier of model intelligence by scaling RL compute. Training was kept stable at scale by freezing the MoE router and establishing a multi-layer defense against reward hacking. The training dynamics, RL environments, and RL framework have been open-sourced to facilitate reproduction and further research on scaled RL and model self-improvement.

Step 5 Preview has 600B total and 27B active parameters and matches Kimi K3 (max) at around 2.8 times lower cost per task.

Anyone can build with AI, but you need to get the sequence right if you want to scale. Based on the 4,000 AI case studies and use cases in Gartner's AI Hub , teams with an AI roadmap are better at managing risk and actually achieving goals. To learn how to sequence your AI initiatives, read the blog

Developers can now create, steer, resume, and watch Devin Cloud sessions from their terminal. Devin CLI can now transfer any ask to Devin to continue iterating on with its own cloud VM. Users can continue to observe and steer progress directly from the terminal as if Devin were working locally. Cognition is offering free SWE-2 sessions until October 8 so developers can try Devin Cloud from the terminal.

Grok 4.7 enhances coding and knowledge work capabilities with improved self-verification and safeguards, using a new, larger base model. It offers competitive pricing with $2 per million input tokens and $6 per million output tokens. Excelling in various benchmarks, it shows top-notch safety features, especially in cybersecurity tasks, limiting risky command execution.

Anthropic is starting to test its upcoming frontier model in the wild. Several people have posted outputs that seem to come from a newer, more advanced model. Anthropic may be announcing Opus 5.5 this week. The model is rumored to be priced at $4 per million input tokens and $20 per million output tokens.

Meta's Muse AI app has surged to the top of the iOS App Store charts in the US, outpacing ChatGPT and other AI tools with 730,000 downloads shortly after its release. Powered by the Muse Spark AI models, the app allows users to manage digital assistants for tasks like filling forms and organizing emails. While Muse's popularity highlights growing consumer interest, privacy concerns persist, with Amazon blocking the app over security risks, although Shopify has partnered with Meta to integrate agentic checkout.

Agent economics are pushing AI from frontier-by-default toward capability-level routing, where judgment, ranking, search, and verification use cheaper specialized systems. Frontier models may handle fewer but harder tasks as applications become intelligence compilers that recombine services efficiently.