Scientists working to decode birdsong(newyorker.com)

141 points by tintinnabula 2 years ago | 125 comments

The impossibility of translating Franz Kafka (1999)(newyorker.com)

60 points by pseudolus 2 years ago | 37 comments

A leading proponent of vertical farming discusses how urban areas should adapt(newyorker.com)

20 points by Thevet 2 years ago | 20 comments

The Journey of a Migratory Shorebird(newyorker.com)

11 points by wallflower 1 month ago | 0 comments

Joyce Carol Oates's relentless, prolific search for a self(newyorker.com)

30 points by samclemens 2 years ago | 4 comments

Picasso was suspected of stealing the 'Mona Lisa'(newyorker.com)

82 points by bookofjoe 1 year ago | 44 comments

AI tools are spotting errors in research papers(nature.com)

555 points by kgwgk 1 year ago | 200 comments

Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.

AI tutoring with Khanmigo in a two-year school experiment(edworkingpapers.com)

57 points by bryan0 20 days ago | 42 comments

An Annenberg EdWorkingPapers research paper page on a two-year school experiment evaluating AI tutoring with Khan Academy's Khanmigo.

That's not an abstraction, that's a layer of indirection(fhur.me)

546 points by fagnerbrack 1 year ago | 213 comments

A blog post arguing that many so-called abstractions in codebases are merely layers of indirection that add complexity and hurt performance without real value.

Where do the children play?(unpublishablepapers.substack.com)

363 points by casca 11 months ago | 242 comments

A Substack essay by Eli Stark-Elster on Unpublishable Papers arguing children need spaces and a world free of adult supervision to play.

Deep learning gets the glory, deep fact checking gets ignored(rachel.fast.ai)

549 points by chmaynard 1 year ago | 134 comments

Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.

Neural networks are clean(already-clean.goodfire.com)

768 points by themgt 11 days ago | 300 comments

An informal research essay by Nick Cammarata at Goodfire arguing polysemanticity stems from fixable issues, not superposition, making neurons interpretable at scale.