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Berkeley Biological & Artificial Language Lab (@BerkeleySCLab) profile picture

Berkeley Biological & Artificial Language Lab

@BerkeleySCLab

Lab @UCBerkeley for biological and artificial language. PI @begusgasper

 Berkeley, CA
youtube.com/channel/UCH16qHjOg8rbcAc_mtZo7Vw
Joined March 2019
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Photo by Berkeley Biological & Artificial Language Lab (@BerkeleySCLab)Photo by Berkeley Biological & Artificial Language Lab (@BerkeleySCLab)Photo by Berkeley Biological & Artificial Language Lab (@BerkeleySCLab)Photo by Berkeley Biological & Artificial Language Lab (@BerkeleySCLab)
We had a whale of a year🐳 We continue to explore language and intelligence in humans, animals, and machines -We uncovered vowels and diphthongs in sperm whales -We discussed what this means for law and anima rights -For the first time, LLMs can do recursion and metalinguistics
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Berkeley Biological & Artificial Language Lab retweeted
Darin Flynn (@phono_logical) profile picture
Darin Flynn
@phono_logicalOct 27
Too funny: voiceless obstruents favoured after nasals; voiced obstruents favoured after voiceless obstruents; e.g.
Image from Darin Flynn (@phono_logical)
Darin Flynn (@phono_logical) profile pictureDarin Flynn
@phono_logicalOct 27
“Lexicon against naturalness: Unnatural gradient phonotactic restrictions in Tarma Quechua” by Gašper Beguš, Aleksei Nazarov, Anna Björklund and Blas Puente Baldoceda (Oct. ’26) link.springer.com/article/10…
Image from Darin Flynn (@phono_logical)
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Berkeley Biological & Artificial Language Lab retweeted
Darin Flynn (@phono_logical) profile picture
Darin Flynn
@phono_logicalOct 27
“Lexicon against naturalness: Unnatural gradient phonotactic restrictions in Tarma Quechua” by Gašper Beguš, Aleksei Nazarov, Anna Björklund and Blas Puente Baldoceda (Oct. ’26) link.springer.com/article/10…
Image from Darin Flynn (@phono_logical)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 26
The paper was 10 years in the making! Read it here: doi.org/10.1007/s11049-026-0…
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Jaime Vera (@neverwrit) profile picture
Jaime Vera@neverwritOct 27
kha, no sabía de esa restricción del quechua de tarma, locatso
Gašper Beguš (@begusgasper) profile pictureGašper Beguš
@begusgasperOct 26
In Tarma, Peru a very interesting dialect of Quechua is spoken. We analyzed the recordings and show that the dialect features one of the most intriguing phonotactic restrictions. Stops are voiced after a voiceless stop and voiceless after a nasal.
Image from Gašper Beguš (@begusgasper)
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 26
What happens to writing when machines can write? How are novelists, poets, and screenwriters responding to AI, and what does it mean for creativity, authorship, and the future of storytelling? Join us on November 18 at UC Berkeley Sutardja Dai Hall as we explore these questions through our new collection of essays, First Encounters with AI.
Image from Nina Beguš (@ninabegus)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 26
In Tarma, Peru a very interesting dialect of Quechua is spoken. We analyzed the recordings and show that the dialect features one of the most intriguing phonotactic restrictions. Stops are voiced after a voiceless stop and voiceless after a nasal.
Image from Gašper Beguš (@begusgasper)
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 25
Artificial humanities at the Artificiality Summit in Bend, Oregon
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
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Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 24
Why is philosophy thriving at Harvard amid generally low humanities enrollments
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 20
We're excited to be able to continue our work (with @begusgasper) on rethinking language, thanks to @schmidtsciences HAVI. We will test what properties of human language (sound change, dialect, and more) appear in nonhuman communication. This research lays the groundwork for reconceptualizing language as an evolutionary information technology applicable across human, animal, and machine communication.
UC Berkeley (@UCBerkeley) profile pictureUC Berkeley
@UCBerkeleyOct 20
UC Berkeley researchers are developing AI models that learn language by imitating speech, much like babies do. Their work could make AI more efficient while revealing new insights into how humans and other species communicate. bit.ly/4BeESMn
What can AI learn from children?

What can AI learn from children?

AI models are always hungry for vast amounts of information, so it can learn how to give us human-like responses. For example, OpenAI’s GPT-3 trained on 570 gigabytes of text, or roughly 225 billion

ls.berkeley.edu
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Berkeley Biological & Artificial Language Lab retweeted
UC Berkeley (@UCBerkeley) profile picture
UC Berkeley
@UCBerkeleyOct 20
UC Berkeley researchers are developing AI models that learn language by imitating speech, much like babies do. Their work could make AI more efficient while revealing new insights into how humans and other species communicate. bit.ly/4BeESMn
What can AI learn from children?

What can AI learn from children?

AI models are always hungry for vast amounts of information, so it can learn how to give us human-like responses. For example, OpenAI’s GPT-3 trained on 570 gigabytes of text, or roughly 225 billion

ls.berkeley.edu
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 16
Thank you for the feature @HarvardMagazine! We got so many Harvard alumni in this volume we failed to mention Gerardo Con Diaz (08) and Joseph Dumit (Prof) :)
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 14
Old conceptual frameworks need an update. Very excited to be awarded the Schmidt Sciences HAVI Award for "Rethinking Language" in collaboration with @ninabegus. Humanities have a bright future! @schmidtsciences
Image from Gašper Beguš (@begusgasper)
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Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 8
Imagitation it itself imagitation. Read this great book! @mthvn
Image from Gašper Beguš (@begusgasper)
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusOct 6
Doomers unite.
Gašper Beguš (@begusgasper) profile pictureGašper Beguš
@begusgasperOct 6
If we believe in AI’s ability to control us, and AI is unable to do so, we lose little. If we don’t believe in singularity, and AI can in fact control us, we stand to lose everything. Wager, then, without hesitation, that AI is (able to control us)!
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 6
Read here: begus.substack.com/p/pascals…
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 6
If we believe in AI’s ability to control us, and AI is unable to do so, we lose little. If we don’t believe in singularity, and AI can in fact control us, we stand to lose everything. Wager, then, without hesitation, that AI is (able to control us)!
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 5
The most transformative education happens when students learn uniquely human skills over meals and tea time
The future is in residential education

The future is in residential education

Article · @begusgasper
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Berkeley Biological & Artificial Language Lab retweeted
Nina Beguš (@ninabegus) profile picture
Nina Beguš
@ninabegusSep 23
And @kyliu99's essay The art of Copying from First Encounters with AI, recently published also in @LAReviewofBooks
Image from Nina Beguš (@ninabegus)
Nina Beguš (@ninabegus) profile pictureNina Beguš
@ninabegusSep 23
Here's Ted on photography v writing :) in First Encounters with AI. His skepticism comes from the way LLMs work and are used - but he doesn't close the possibility of a different machine being more useful for art.
Image from Nina Beguš (@ninabegus)
Image from Nina Beguš (@ninabegus)
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Berkeley Biological & Artificial Language Lab retweeted
Anna Gát (@TheAnnaGat) profile picture
Anna Gát
@TheAnnaGatOct 2
Very psyched for @ninabegus’s books! Coming on @interintellect_ 👑
Gašper Beguš (@begusgasper) profile pictureGašper Beguš
@begusgasperSep 29
It is now clear that the humanities will rule the future of higher education. Here's a good starting point: Artificial Humanities introduced humanistic thought to the development of AI. First Encounters extends this and reflects on writing in AI.
Image from Gašper Beguš (@begusgasper)
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Berkeley Biological & Artificial Language Lab retweeted
Gašper Beguš (@begusgasper) profile picture
Gašper Beguš
@begusgasperOct 2
Read here: begus.substack.com/p/the-nex…
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