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Professor Elan Barenholtz

06/12/25

@ Curt Jaimungal

Words in large language models do not refer to meanings outside themselves; they are simply relations between symbols, which challenges traditional views of semantics and meaning in language.

Video

The Theory That Shatters Language Itself

@ Curt Jaimungal

The Theory That Shatters Language Itself

06/12/25

Related Takeaways

Yann LeCun

03/20/25

@ Alex Kantrowitz

Large language models (LLMs) are primarily designed to regurgitate information based on statistical patterns in the text they've been trained on, which limits their ability to invent new concepts or solutions.

Ray Kurzweil

10/24/24

@ Peter H. Diamandis

Large language models should be referred to as large event models because they are not only effective in language but also applicable in pharmaceuticals and various other fields.

Professor Elan Barenholtz

06/12/25

@ Curt Jaimungal

The ability of language to generate meaning is not driven by a need for grounding; instead, it relies on the relational properties of symbols within its own structure.

Marc Andreessen

01/26/25

@ Lex Fridman

The challenge of achieving truth with large language models is a contentious topic in the industry, especially in domains where definitive answers exist, like math and coding.

Professor Elan Barenholtz

06/12/25

@ Curt Jaimungal

Language is a self-contained, autoregressive system that doesn't inherently connect to the external world, challenging our understanding of mind and perception.

Elan Barenholtz

06/12/25

@ Curt Jaimungal

The relations between words in language are not arbitrary; they have been honed over time to carry meaning and are tethered to perceptual reality.

Elan Barenholtz

06/12/25

@ Curt Jaimungal

Language is a semi-autonomous, auto-generative system that doesn't fully grasp the meaning of what it communicates, unlike the sensory perceptual system.

Y Combinator Cast

01/24/25

@ Y Combinator

By allowing models to think longer, large language models can leverage more compute on the fly, enhancing their intelligence for complex problems.

Professor Elan Barenholtz

06/12/25

@ Curt Jaimungal

The realization that language operates as an autonomous system reveals that it can generate meaningful sequences without needing to reference external concepts or grounding.