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07-05

Jellyfish Heal Wounds in Minutes. Scientists Want Their Secrets.

This article from the Marine Biological Laboratory covers recent research by Jocelyn Malamy (University of Chicago) on the wound healing mechanism of the transparent jellyfish Clytia hemisphaerica. The medusae heal tiny wounds in minutes and larger ones in under an hour, without scarring. Their transparency allows real-time observation of epithelial cell movements in live animals. Malamy's new paper in Molecular Biology of the Cell shows that all epithelial wound healing is driven by two sequential cellular structures: first, lamellipodia act like foot-like feelers to crawl across the basement membrane, dragging cells forward; then, an actomyosin cable forms at the lamellipodia base and contracts like a purse string to close the wound. For large wounds with basement membrane damage, collective cell migration of the entire epithelial sheet occurs. This work reconciles previous conflicting observations across organisms and wound types. Relevant for engineers interested in developmental biology, regenerative medicine, and cell mechanics.

www.mbl.edu · 7 min · Biophysics · Cell Biology · Regeneration
06-29

how to be good at research

A thread by @itsreallyvivek arguing that research skill is a stack of trainable sub-skills, not a gift. Core moves: pick problems you genuinely want to exist (Schulman), upgrade inputs by reading old papers and skipping summaries, write everything down to expose hidden gaps (Graham, Feynman, Darwin), tighten the experimental loop with scripted tooling (Karpathy), stare directly at failure cases instead of loss curves (Andrew Ng), deliberately wander across subfields to find your unfair advantage, and cultivate collaborators who will tell you an idea is bad. The post synthesizes concrete tactics from Hamming, Sutton, Shannon, and others, emphasizing falsifiable forecasts, reproducible tooling, and reading raw data over third-hand threads. Actionable for research engineers and PhD students tired of surface imitation.

06-17

Agentic coding and persistent returns to expertise

Anthropic analyzed ~400,000 Claude Code sessions, finding that users make most planning decisions while Claude handles execution. Domain expertise, not coding background, is the key to success: expert-rated sessions achieve verified success over twice as often as novices, though intermediate users capture most of the benefit. Non-software occupations succeed at coding tasks within 5 points of software engineers. Over seven months, the share of debugging sessions fell from 33% to 19%, while end-to-end tasks like deployment, data analysis, and document writing grew, and estimated task value rose ~25%. The report details methodology for decision attribution, expertise classification, and success verification, along with limitations. Suitable for engineers and researchers interested in AI coding tools, agent collaboration, and skill transfer.

www.anthropic.com · 27 min · Agents · AI Engineering · Claude Code