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
Novel assembloid illuminates serotonin changes linked to 22q11.2 deletion
The combination of a serotonin-producing organoid with an organoid based on the developing cerebral cortex offers a new way to investigate neuromodulation.
Novel assembloid illuminates serotonin changes linked to 22q11.2 deletion
The combination of a serotonin-producing organoid with an organoid based on the developing cerebral cortex offers a new way to investigate neuromodulation.
Reporter’s notebook: Highlights from INSAR 2026
At the 25th annual meeting of the International Society for Autism Research, scientists, clinicians and self-advocates gathered to discuss topics such as autism genetics and the gap between clinical trials and real-world benefits.
Reporter’s notebook: Highlights from INSAR 2026
At the 25th annual meeting of the International Society for Autism Research, scientists, clinicians and self-advocates gathered to discuss topics such as autism genetics and the gap between clinical trials and real-world benefits.
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”