Saturday, July 25, 2026
OpenAI introduces dedicated hardware control with the Micro keypad to streamline agentic coding and prompt execution in ChatGPT and Codex.
In this issue · 5
An open-source textbook breaks down AI agent engineering into 10 detailed chapters based on the formula Agent = LLM + Context + Tools. It includes 92 executable lab experiments covering Model Context Protocol, prompt distillation, and reinforcement learning.
World Monitor has exposed a public Model Context Protocol server alongside a CLI and SDKs in Python, Go, and Ruby. Developers can connect AI agents directly to 500+ curated real-time intelligence feeds covering infrastructure, market, and geopolitical metrics.
Anthropic has released Claude Opus 5, bringing enhanced capabilities to complex agentic coding tasks and autonomous computer interaction. The updated model offers improved reasoning across multi-file engineering pipelines without increasing existing tier pricing.
Datalab released Marker 2, a complete rewrite of its open-source document parsing pipeline using Surya OCR 2 and a 20M-parameter layout model. Benchmark tests on olmOCR-bench show Marker 2 reaching 76.0% overall accuracy at 2.9 pages per second on a single B200 GPU.
Anthropic has cut the default system prompt length in Claude Code for Opus 5 by 80 percent. The update relies on improved baseline instruction following, significantly reducing input token latency and context overhead.
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