Pulled from a Field in Albania, a 2,500-Year-Old Statuette Comes to Getty(getty.edu)

31 points by drdee 3 years ago | 12 comments

Map of all the buildings in the world(gizmodo.com)

155 points by dr_dshiv 10 months ago | 54 comments

Stone blocks from the Lighthouse of Alexandria recovered from seafloor(archaeologymag.com)

103 points by gnabgib 1 year ago | 20 comments

Researchers recreate ancient Egyptian blues(news.wsu.edu)

13 points by gnabgib 1 year ago | 5 comments

Skulls reveal scale of human sacrifice in Aztec capital(science.org)

62 points by nsoonhui 2 years ago | 43 comments

'A Neolithic feat of engineering': Orkney dig reveals ruins of tomb(theguardian.com)

35 points by isaacfrond 3 years ago | 11 comments

Someone behind the software(karrisaarinen.com)

532 points by tosh 8 days ago | 188 comments

Blog post by Karri Saarinen arguing that good software products carry the experience, values, and perspective of the people who make them.

A Reddit bot drove me insane(posthuman.blog)

486 points by erhmmmm 1 year ago | 239 comments

A blog post recounting the author's encounter with a human-seeming Reddit post that turned out to be a bot, reflecting on AI slop online.

Emitting metadata early makes building/checking Rust up to twice as fast(github.com)

132 points by knuckleheads 22 days ago | 32 comments

GitHub repository for Headstart, patches to rustc and cargo that start dependent crates before their dependencies finish type-checking by emitting metadata early.

A Design Space Exploration of Async/Await(cel.cs.brown.edu)

431 points by wcrichton 1 month ago | 124 comments

Brown University Cognitive Engineering Lab blog post summarizing a paper comparing how async/await designs differ across programming languages.

Nobody knows how to build with AI yet(worksonmymachine.substack.com)

475 points by Stwerner 1 year ago | 368 comments

Scott Werner's Substack essay arguing nobody yet knows how to build software with AI, drawing on building Protocollie in four days without touching the code.

LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)

336 points by CharlesW 2 years ago | 121 comments

MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.