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
Funding crisis in Argentina sparks new wave of protests
Two years after the country’s research funding collapsed, scientists are demonstrating against the government’s failure to restore previously cut scholarships and increase salaries as required by a 2025 law.
Funding crisis in Argentina sparks new wave of protests
Two years after the country’s research funding collapsed, scientists are demonstrating against the government’s failure to restore previously cut scholarships and increase salaries as required by a 2025 law.
‘Slightly unhinged’ federal autism meeting portends unclear research priorities
The meeting last week sparked concerns about the latest Interagency Autism Coordinating Committee’s ability to perform its core function: developing a strategy to support autism research.
‘Slightly unhinged’ federal autism meeting portends unclear research priorities
The meeting last week sparked concerns about the latest Interagency Autism Coordinating Committee’s ability to perform its core function: developing a strategy to support autism research.
Ehud Ahissar offers a new kind of dualism for neuroscience
He explains how “perceptual dualism” can account for the way we communicate via digital symbols and perceive the world via analog brain processes.
Ehud Ahissar offers a new kind of dualism for neuroscience
He explains how “perceptual dualism” can account for the way we communicate via digital symbols and perceive the world via analog brain processes.