iiinova — where your digital self keeps evolving

David Burstein @davidbphd.bsky.social · 30/07/2026

Is AI detection broken? The key limitation is adaptivity. If someone can see a detector score, ask an LLM to revise, and try again, millions of times if needed, the detector becomes feedback. A user can effectively search their way to a false negative. #AcademicSky #AI #AcademicIntegrity

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David Burstein @davidbphd.bsky.social · 29/07/2026

🧬 Helpful recent preprint describing the All of Us “All by All” resource: common and rare variant association testing across 392,030 whole genomes and 3,602 phenotypes Preprint: www.medrxiv.org/content/10.6... Browser: allbyall.researchallofus.org

medrxiv.org

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David Burstein @davidbphd.bsky.social · 22/07/2026

Where are scientists discussing papers now: Bluesky or X? I sampled 350 recent papers that had at least one post on X or Bluesky. The median paper got 29% of its X+Bluesky attention on Bluesky. Bluesky is substantial, but X appears active. #AcademicSky #ScienceSky #StatsSky

Visualization of the median per-paper Bluesky share of combined X and Bluesky attention for seven Nature-family journals (350 papers, 50 per journal, each with at least one X or Bluesky post), January to July 2026. Each dot is the journal's median; the bar shows the middle 50% of papers. The overall median is 29%. By journal: Nature Medicine 14%, Nature Genetics 25%, Nature 26%, Nature Communications 26%, Molecular Psychiatry 45%, npj Digital Medicine 50%, Nature Machine Intelligence 50%.

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David Burstein @davidbphd.bsky.social · 13/07/2026

Over 292,000 public comments already submitted on the proposed OMB rule revising federal grants guidance. The comment period closes today, July 13. Read it & comment: , www.regulations.gov/document/OMB... #SciencePolicy #SciSky #AcademicSky

regulations.gov

Regulations.gov

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David Burstein @davidbphd.bsky.social · 11/07/2026

Kudos to @pangram.com for quantifying something real. But I think this solves the wrong problem: the issue was never AI-assisted content, it's slop. Don't filter out thoughtful human-AI science collaboration. Instead of flagging AI-written posts, why not flag slop (human or AI)?

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David Burstein @davidbphd.bsky.social · 10/07/2026

Defining phenotypes across 10,000s of ICD codes is manual & subjective. Phecoder semi-automates this, surfacing clinically relevant codes existing curation missed. Analysis led by Jamie Bennett. 📝 Preprint: www.medrxiv.org/content/10.6... 🖥️ Code: github.com/DiseaseNeuroGenomics/Phecoder

input phenotype query + ICD descriptions → embedding space → ranked ICD code output

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