Happy Groundhog Day!

The movie is one of my all time favorites and I watch it on every flight over 5 hours.

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According to this method, Phil the groundhog was accurate 40% of the time, while Snohomish Slew the frog was accurate only 20% of the time.

The real psychics turned out to be Bee Cave Bob the armadillo and Sand Mountain Sam the opossum, who were both 100% accurate over the past five years.

https://www.bbc.com/news/world-us-canada-64505314

(no subject)

When in doubt build a model based on the Kan extension. Or at least, use Lawvere's simplified version of it ( determination/choice).



* Questions (A) -> Little Red Riding Hood (B) -> Learning [Wolf Detection] (C)

A -> C maps to False ( A -> Ω), which hints at the idea that marginal knowledge can be modeled as a topos. We can also show the nature of the transition from Google Search to GPT.

* All objects are marginal.

The variety of cultural experiences

My former student from China is planning his visit to the US. On LI he asks me for a meeting and I agree. First, he replies "Thanks" (probably just pressed the default answer button). Then, he adds another message, "Thank you Sir." So funny.

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(no subject)

Опять хочу свежее бельгийское пиво.