GLM‑5.2 is Z.ai’s newest open‑source model designed for long‑horizon coding tasks. It supports a solid 1 million‑token context, introduces flexible “effort” levels for balancing speed and capability, and uses the IndexShare architecture to cut per‑token FLOPs by 2.9×. Benchmarks show it outperforms its predecessor (GLM‑5.1) and ranks as the strongest open‑source coding model, closing the gap to leading closed‑source systems.
NVIDIA AI announced the release of Nemotron 3 Ultra, a 550 B MoE model that speeds inference fivefold, lowers agentic task costs up to 30 % and excels at coding, deep research, and long‑horizon planning. OpenCode noted that Nemotron 3 Ultra is now free with 1 M context and fully open source. Ollama said the model is available on its cloud platform, offering launch commands for Claude, Hermes and OpenClaw. OpenAI introduced a new memory system for ChatGPT that automatically tracks important details, doubles memory capacity for Plus and Pro users in the US, and lets users review and steer remembered content via a summary. Cursor added an interactive context‑usage report in its canvas, breaking down token distribution across prompts, tools, rules and skills.
Qwen: introduces Qwen3.7-Plus, a multimodal agent model that unifies vision and language with both GUI and CLI operation and serves as a coding and productivity assistant. OpenAI: frontier models and Codex are now generally available on AWS via Amazon Bedrock, extending enterprise security, compliance, and governance workflows. xAI: Composer 2.5 is now inside Grok Build, described as a fast, highly intelligent model for long‑running tasks and complex instructions. LangChain: highlights Fleet for secure agent access to private resources and adds LangSmith LLM Gateway spend limits that return a 402 error when caps are hit. Google Antigravity: is becoming a scientific workbench with a Science Skills bundle that runs complex workflows like protein analysis using Alpha* models and dozens of databases; Google Gemma: releases the first gemma‑skills iteration, enabling agents to build with Gemma, use MTP for speed, pick model size, and locate up‑to‑date resources. ClaudeDevs: resets 5‑hour and weekly rate limits for Pro/Max plans and fixes excessive parallel subagents; Cursor: raises usage limits for Teams and adds a Premium seat with 5× usage at 3× cost; Visual Studio Code: demos orchestrating agents via the VS Code Agents window; NVIDIA: adds real‑time AI media tools including Synthetic Video Detector (up to 92% accuracy, 22 ms latency), RTX Video Super Resolution and Frame Generation; Vercel: enables remote execution of Conductor’s parallel coding agents on fast Sandboxes; Perplexity: launches Search as Code, a new architecture that writes Python to call its search stack directly, now default in the Perplexity Agent API.
Claude Code 2.1.158 introduces an **Auto mode** that can be turned on for Opus 4.7 and Opus 4.8 when running on Amazon Bedrock, Google Vertex AI, or Foundry. Activation is done by setting the environment variable `CLAUDE_CODE_ENABLE_AUTO_MODE=1`.
Claude Code has released version 2.1.152, which includes several new features and bug fixes. The update applies review findings to the working tree after a review, simplifies code, and improves the user experience.
GitHub Spark is a platform for building intelligent apps with AI capabilities. It allows users to create full-stack applications using natural language, visual tools, or code, with instant previews and one-click deployment.
GitHub Models is a new feature on GitHub that allows developers to manage and compare AI prompts, access multiple leading models through a single API key, and move from testing to production within the same environment.