Solve a murder in the future by diving into its Wikipedia

A Wikipedia meta-page listing common phrases and formatting conventions of AI chatbots.

California bishop and friend of PKD. Died when he drove into Israel desert with his wife and a couple bottles of coke.

Wikipedia 🤦🏻‍♀️

Is a theorized phenomenon by which the future life expectancy of some non-perishable things, like a technology or an idea, is proportional to their current age.

The name comes from the common (but false) legend that ostriches bury their heads in the sand to avoid danger.

A frog that is gradually heated will jump out. Furthermore, a frog placed into already boiling water will die immediately, not jump out.

The Answer is “No”

A very well written argument about the anatomy of contributions to a public project (wikipedia) by the Internet’s Own Boy (<3).

And yes, using the word “we”, as in “we built this”, this digital Anarres of you-don’t-owe-me-anything, I-give-you-thanks-for-receiving of FOSS apps and free culture, that even I who did the absolute least work possible, like maybe corrected one stray comma in a PR that didn’t even get merged, that’s a point of pride for me because if even I could help then so can you!

The law of triviality is C. Northcote Parkinson’s 1957 argument that people within an organization commonly give disproportionate weight to trivial issues.

The view that the mind or a mind-like aspect is a fundamental and ubiquitous feature of reality.

The Tank Man is the nickname given to an unidentified individual, presumed to be a Chinese man, who stood in front of a column of Type 59 tanks leaving Tiananmen Square in Beijing on June 5, 1989.

A rhetorical technique in which a person in a debate attempts to overwhelm an opponent by presenting an excessive number of arguments, without regard for their accuracy or strength, with a rapidity that makes it impossible for the opponent to address them in the time available.

Short-term memory loss when passing through a doorway or moving from one location to another.

A metaphor to describe the theory that large language models, though able to generate plausible language, do not understand the meaning of the language they process.