AI Field Notes: Build, Meta's, and more

“For the past week, coders have been piling onto "Ox-alpha," a surprise entry at the top of the OpenRouter and OpenCode charts. Z.ai, the team behind GLM, just revealed it as GLM-5.3-Flash, an open multimodal system built for agentic workflows and long-horizon software engineering. The lab claims it beats GLM-5.2 across”

“A man’s pregnant wife was laid off by Indeed. As petty revenge, he vibe coded a job board with an arguably better premise: upload your resume once, and the platform continuously matches you with new job listings. Try it out here.”

“Buckle up. Bill Gates says we’re headed for one of the “most turbulent” times in human history. In a new personal essay, he outlines AI’s 3 main risks, what he’s doing to help, and pushes more leaders to step up. Read the full essay.”

“A viral post from a laid-off AI engineer exposes major industry flaws he witnessed firsthand while working on training models (1.8K likes).”

“A guide to building synthetic agent environments. You'll learn a two-step pipeline: first, how to turn traces and code into a spec, then how to convert that spec into a full eval task. They've packaged everything into an updated eval-engineering skill so any team can run it.”

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“LLM foundations. This explains how a model reads a prompt and produces an answer. Once you grasp that concept, it becomes clear when you should trust the model, where it will fail, and when a custom build is actually worth the effort.”

“Zuckerberg kicked off Project OT this year, shrinking teams into tiny AI-equipped pods while eyeing up to 60% cuts, according to Reuters. It didn’t go to plan. While code changes surged 220% YoY, actual features reaching users only grew by 36%. Unchecked agents caused constant disruptions, incidents spiked by 40%, and”