// Stateful transform — a generator that wraps the source
The game fell on the 46th anniversary of the Miracle on Ice, when an underdog group of US college players upset the mighty Soviet Union team against the backdrop of the cold war. But the US team who took the ice on Sunday were no plucky band of amateurs making a stand for democracy against authoritarianism – a point underscored when the US and Canada met last year in the 4 Nations Face-Off. Canadian fans booed the Star-Spangled Banner and the US players, either unaware of, or unsympathetic to, Canadian desires to be neither the 51st US state nor the USA’s opponent in a scorched-earth trade war, dropped the gloves to fight their opponents as soon as the game commenced.
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The converse is also worth asking — whether simulating artificial environments (for instance a 3d representation of a Youtube video) might have unintended negative consequences. Fei-Fei Li’s startup World Labs, which aims to make the leading “world model” — an alternative to language models based on tokenizing physical space rather than words — recently raised a substantial amount of money. As consumer-facing robots become more plausible, the business case for such a model is obvious. But what physical spaces are “world” models actually being trained on? The contemporary physical environment, sound-proofed, plastic-coated, and artificially-colored, is radically different from the environment that Homo sapiens evolved to excel in.
"Fields of Gold" by Sting (Episode 6)
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