Related posts

Economist specialising in global income inequality; formerly lead economist in the World Bank research department, now at the CUNY Graduate Center and author of the Global Inequality and More newsletter.

• Likedrcmnd.app

  The Rebel's Clinic

  Their words

  Shatz brings this Plutarch-like exemplary life to the reader with adroitness and skillful attention to detail as well as awareness of Fanon’s uniqueness, both in terms of personality, and places: centers of the new world that he was trying to create.

  branko2f7.substack.com

Medicinal chemist; has written In the Pipeline, the drug-discovery blog, since 2002, and the “Things I Won’t Work With” posts about chemicals that try to kill you.

• Our readingkorrents.com

  A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.

  Their words

  For now, I am not convinced that issuing press releases about your compounds that talk about their discovery through AI techniques is sufficient to expect greater things from them.

  AI Drugs So Farweb.archive.org

Founder of Amazon in 1994 and of the space company Blue Origin in 2000.

• Our readingkorrents.com

  When the data and the anecdotes disagree, the anecdotes are usually right and the metric is usually measuring the wrong thing.

  Their words

  I have a saying, which is when the data and the anecdotes disagree, the anecdotes are usually right. And it doesn't mean you just slavishly go follow the anecdotes then. It means you go examine the data because it's usually not that the data is being miscollected, it's usually that you're not measuring the right thing.

  youtube.com

Statistician at Carnegie Mellon; writes on complex systems, machine learning and inference, and has kept a books-read notebook since 2000 that is now thousands of entries long.

• Likedaffiliate linkrcmnd.app

  Star Kingdom

  Their words

  Buroker is a reliable author of very fluffy mind candy, either science fiction or fantasy. A lot of her output is re-working material from identifiable prior art, without hewing so closely to the canon as to constitute fan fiction.

  bactra.org

Medicinal chemist; has written In the Pipeline, the drug-discovery blog, since 2002, and the “Things I Won’t Work With” posts about chemicals that try to kill you.

From one piece AI and the Hard Stuff 2 beliefs, in the piece's order there

• Our readingkorrents.com

  No AI system today reduces either of the two risks that sink most drugs in the clinic: picking the wrong target, and human toxicity.

  Their words

  There are no existing AI/ML systems that mitigate clinical failure risks due to target choice or toxicology.

  AI and the Hard Stuffweb.archive.org

• Our readingkorrents.com

  We have neither the data nor the insight to use machine learning to pick drug targets that succeed in the clinic more often.

  Their words

  But we do not have enough data and we do not have enough insight to use AI/ML to pick better targets that have a higher chance of succeeding in the clinic.

  AI and the Hard Stuffweb.archive.org

Medicinal chemist; has written In the Pipeline, the drug-discovery blog, since 2002, and the “Things I Won’t Work With” posts about chemicals that try to kill you.

• Our readingkorrents.com

  About ninety per cent of drugs that enter clinical trials fail.

  Their words

  Even under all the constraints and controls that I've been describing here, 90% of our drugs fail in the clinic: can you imagine the failure rate if we tried to go faster and noisier?

  Why Are Clinical Trials So Complicated?web.archive.org