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OpenAI Blog 2 months ago
Ramp engineers use OpenAI's Codex with GPT-5.5 to automate code review processes. The tool delivers substantive feedback in minutes instead of the hours typically required for manual review. This reduces code review turnaround time, allowing engineers to ship improvements faster.
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TLDRocket
25 July 2026
The day's AI developments scattered across three separate fronts: document processing infrastructure, model robustness, and hardware interfaces. The most consequential story is Datalab's Marker 2, a rebuilt PDF-to-markdown converter that represents the unglamorous but necessary infrastructure work powering enterprise AI. With a 76.0% accuracy score on Allen AI's olmOCR-bench and 2.9 pages per second on an NVIDIA B200 GPU, Marker 2 substantially outpaces competitors like MinerU (72.7% accuracy, 0.54 pages/second) and Docling (50.3%, 2.1 pages/second). The tool's three-tier approach—balanced, fast, and CPU-only modes—acknowledges that different workflows demand different tradeoffs. Datalab's licensing model, requiring paid commercial licenses for organizations above $5M in funding or revenue, signals the tightening economics around foundational AI components.
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