Artificial and biological intelligence and language
Linguistics Lead at Project CETI 🐳
PI Berkeley Biological and Artificial Language Lab 🗣️
College Principal of Bowles Hall 🏰
https://www.gasperbegus.com
I'm honored to give a Distinguished Speaker Series lecture at NYU Law on AI, language, and rights of animals.
www.law.nyu.edu/events/disti...
I'm honored to give a Distinguished Speaker Series lecture at NYU Law on AI, language, and rights of animals.
www.law.nyu.edu/events/disti...
It reminds me so much of the Slavic antithesis. We should call it the LLM antithesis. Where did LLMs get this from?
It reminds me so much of the Slavic antithesis. We should call it the LLM antithesis. Where did LLMs get this from?
open.substack.com/pub/poeticen...
open.substack.com/pub/poeticen...
@projectceti.bsky.social
@projectceti.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
www.fulcrum.org/concern/mono...
@ninabegus.bsky.social
—— FinneGAN, 2026
- Language is a final linearizing layer over a richer prelinguistic space.
—— FinneGAN, 2026
- By exploring language’s uncharted cognitive terrain both in humans and machines, we bring attention to the interiority of speech in brains and in computational models.
latentspacecraft.antikythera.org
latentspacecraft.antikythera.org
- By exploring language’s uncharted cognitive terrain both in humans and machines, we bring attention to the interiority of speech in brains and in computational models.
- By exploring language’s uncharted cognitive terrain both in humans and machines, we bring attention to the interiority of speech in brains and in computational models.
- Language is a final linearizing layer over a richer prelinguistic space.
- Language is a final linearizing layer over a richer prelinguistic space.
FinneGAN generates speech, based on the text of the novel, and pushes the language of Finnegans Wake toward the
FinneGAN generates speech, based on the text of the novel, and pushes the language of Finnegans Wake toward the
Can’t wait to dig in more
Can’t wait to dig in more
FinneGAN generates speech, based on the text of the novel, and pushes the language of Finnegans Wake toward the
FinneGAN generates speech, based on the text of the novel, and pushes the language of Finnegans Wake toward the
.
I outlined three use cases how AI can help push science forward:
.
I outlined three use cases how AI can help push science forward:
- LLMs for synthetic data, expanding the space of what we can even imagine testing
- Internal interpretability + custom models to narrow the hypothesis space and accelerate discovery
- LLMs for synthetic data, expanding the space of what we can even imagine testing
- Internal interpretability + custom models to narrow the hypothesis space and accelerate discovery