Justin Johnson

4 statements across 1 episodes · 2 bullish · 0 bearish · 2 people on the record · first statement Nov 25, 2025 by Fei-Fei Li · said 5 times in 3 episodes since 2023 · across every show →

On the record as a speaker too: Justin Johnson's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Shawn Wang (1), Michael Royzen (1)

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Everything said about Justin Johnson, oldest first

Nov 25, 2025 positive
Disclosure
Li: World Labs was founded to build spatial intelligence beyond LLMs
“I think around, you know, more than two years ago, for sure, I think both independently, both of us have been looking at the development of the large models and thinking about What's beyond language models and this idea of building world models, spatial intell…”
Fei-Fei Li Nov 25, 2025 ▶ 2:14 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Nov 25, 2025
Insight
Johnson: Physical theory-building stems from interactive falsification, not model modality
“Because we're constantly interacting with the world, we're constantly having to build theories about what's happening in the world around us, and then falsify or add evidence to those theories. And I think that that kind of process writ large and scaled up is …”
Justin Johnson Nov 25, 2025 ▶ 54:35 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Nov 25, 2025 bullish
Insight
Johnson: Pixels offer a more lossless world representation than tokenized text
“And then like you actually lose something if you translate to this like purely tokenized representations that we use in LLMs, right? Like you lose the font, you lose the line breaks, you lose sort of the two D arrangement on the page. And for a lot of cases, f…”
Justin Johnson Nov 25, 2025 ▶ 22:11 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Nov 25, 2025 neutral
Insight
Johnson: Transformers are natively models of sets, not sequences
“Transformers are actually not a model of sequences. A transformer is natively a model of sets.”
Justin Johnson Nov 25, 2025 ▶ 56:45 After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
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