Large language models
Recent articles
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Explore more from The Transmitter
Human brain organoids flourish in emptied mouse cortex
The chimeric mice could help untangle the biology of human brain development or conditions such as autism.
Human brain organoids flourish in emptied mouse cortex
The chimeric mice could help untangle the biology of human brain development or conditions such as autism.
What if Hegel were a neuroscientist?
Andrea Gambarotto shares what Hegel and enactivism have in common: an agency-first approach to understanding minds and brains.
What if Hegel were a neuroscientist?
Andrea Gambarotto shares what Hegel and enactivism have in common: an agency-first approach to understanding minds and brains.
This paper changed my life: Transformative work in addiction neuroscience
A 2011 Nature study found that loss of a nicotinic receptor subunit leads to increased nicotine intake in mice. The work set the standard for how to functionally validate genetic association study findings in neuroscience.
This paper changed my life: Transformative work in addiction neuroscience
A 2011 Nature study found that loss of a nicotinic receptor subunit leads to increased nicotine intake in mice. The work set the standard for how to functionally validate genetic association study findings in neuroscience.