Daily AI Recap: Jun 28, 2026

Welcome to today's curated briefing of the most important AI developments.

• Ford rehires ‘gray beard’ engineers after AI falls short: "Mistakenly we thought that by just introducing artificial intelligence ... that would produce a high-quality product.”...
• OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing: In this tutorial, we build a complete, self-contained OCRmyPDF pipeline in Python. We generate synthetic image-only PDFs so we can test OCR without external files, then convert them into searchable PD...
• Why Wall Street thinks US memory maker Micron is the next Nvidia: Eager to find more public AI-related companies that may do as well as Nvidia, Wall Street investors think they've found a winner with Micron....

• Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference: Liquid AI released LFM2.5-230M, its smallest model yet. The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42...
• AI Weekly Issue #508: The Cutting Edge, Across the Board: The cutting edge, and the cutting edge already on the clock. On the frontier this week: OpenAI shipped its strongest model to ~20 vetted partners, Dee...
• Building a Stable Fable 5 Traces Workflow in Colab: Parsing Tool Calls, Auditing Data, and Training Baselines: In this tutorial, we build a stable workflow around the Fable 5 Traces dataset from Hugging Face. We avoid fragile dependencies and manually parse the...
• I Pitted XGBoost Against Logistic Regression on 358 Matches. The Boring Model Won.: A concrete bias–variance lesson: why the smallest model had the best cross-validated fit, and how to know when to reach for the big hammer. The post I...
• Tail Control: The Counterintuitive Engineering of Reliable Agentic Workflows: Behind a customer's API, a high-quality answer isn't enough. It has to be usable, which means on time. Delivering that consistently is a problem about...