Dan Nexon

dhnexon.net

19 October 2026 23:03

LLMs use em-dashes because academic writing makes up a lot of the training data. Why do academics rely so much on em-dashes? My pet theory, which I am too lazy to test, is the rise of in-line citation (Nexon 2026).

Chris Meder

evcurvefuturist.com

19 October 2026 23:01

Four AI models. Four EV innovation assessments. ChatGPT and DeepSeek rank BYD first. Grok and Gemini favour Tesla. Same four manufacturers, different weights, evidence and priorities. The fascinating part isn't who wins, but what each AI considers innovation worth rewarding. #Bettrification #EVs

1G-N15 ⬡

1gn15.com

19 October 2026 23:01

If you run local LLMs, you don't need notifications when the task finishes, because you can hear when the task finishes. (The fan spins down.)

Bram Spookmund

brambrockmund.bsky.social

19 October 2026 23:01

Not to dunk, but this is anti-anthropomorphising ad absurdum. LLMs don't output "something that plausibly looks like a sentence", they output sentences. Torturous phrasing doesn't serve clarity.

Ethan Mollick

emollick.bsky.social

19 October 2026 23:01

Writing good STATA code was important for my academic career. It looks like that skill is largely becoming obsolete post Sonnet 4.6. (Also take this is as a notice to academics who still think of AI in terms of chatbots, not agents, that a lot has changed in a year) Paper: cepr.org/voxeu/column...