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Vocal Fry: what it is, who does it, and why people hate it!27:18

Vocal Fry: what it is, who does it, and why people hate it!

4.1M views • 3 years ago
Dr Geoff Lindsey
Linguist Geoff Lindsey explores vocal fry: what it is, who uses it, how it relates to glottal stops and accents, and why some people dislike it.
Immigration, World Poverty and Gumballs6:08

Immigration, World Poverty and Gumballs

6.8M views • 16 years ago
NumbersUSA
Roy Beck's short gumball presentation using World Bank and Census data to argue that letting people immigrate to the US cannot solve world poverty because the numbers are so large. It is made by NumbersUSA, an immigration-restriction advocacy group.
The IOU Machine: How Currency Is Created | Hidden Secrets of Money Ep. 429:35

The IOU Machine: How Currency Is Created | Hidden Secrets of Money Ep. 4

11.1M views • 13 years ago
GoldSilver
Episode 4 of Mike Maloney's Hidden Secrets of Money, explaining how currency is created through a chain of IOUs among the Treasury, banks and the Federal Reserve. It covers bonds, Fed checks, debt, taxes and fractional reserve lending, from a gold-and-silver advocate's viewpoint.
Thorium: An energy solution - THORIUM REMIX 20111:59:59

Thorium: An energy solution - THORIUM REMIX 2011

804K views • 15 years ago
gordonmcdowell
A 2011 remix of over six hours of talks by Kirk Sorensen and other thorium advocates, explaining thorium as a nuclear fuel and the liquid-fluoride thorium reactor (LFTR). It argues LFTRs could produce energy without long-lived transuranic waste.
Rhyme: Why Eminem is one of the most impressive lyricists ever6:00

Rhyme: Why Eminem is one of the most impressive lyricists ever

3.7M views • 13 years ago
Library of Alexandria
A re-upload of a video breaking down Eminem's rhyme schemes, showing multi-syllable and internal rhymes in songs such as Lose Yourself. It aims to show why he is considered a standout lyricist.
Glitch Tokens - Computerphile19:29

Glitch Tokens - Computerphile

353K views • 3 years ago
Computerphile
Rob Miles explains "glitch" tokens, odd strings in large language model vocabularies that make the model produce gibberish. He covers how they likely arise from tokenizer training data, such as Reddit usernames, that never appeared in the model's own training.