Add blog post: How Do You Know If a Robot Is Getting Better?

[vertix]

Summary

• New blog post (content/blog/measuring-robot-progress.md) accompanying the PhAIL paper (arXiv:2605.29710).
• Frames the paper around a single question — "how do you know if a robot is getting better?" — and argues for working with the full time-to-success distribution instead of a scalar success rate (tiny-N anecdotes, metric disagreement, ~30× sample-efficiency gain, honest "indistinguishable" verdicts).
• Embeds two figures from the paper repo (time-to-success CDFs + UPH/MTBF tradeoff), copied into theme/positronic/static/img/. The CDF figure also serves as the social/banner card.
• Byline defaults to Positronic Team to match the existing PhAIL posts.

Test plan

• pelican content -s pelicanconf.py -o output builds clean (7 articles, 0 errors).
• Verified the article renders with both figures, headings, captions, and links; image paths resolve from the root-level article page in both relative (dev) and absolute (publish) URL modes.

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