For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, standard benchmarks for ...

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...

In spring 2025 I had a crisis of faith. I thought about what the technology I'm helping to create might do to our future, and got scared. M...

Opaque feeds shape what you believe and you can never check whether they are working for you. We should insist on auditable algorithms, and support the platforms willing to build them.

A proposal to create alternative systems for generating, evaluating, and sharing knowledge

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, b...

Some quickly jotted thoughts working through the implications of the AI community remaining on twitter

In most ways NLG and NLP are much better in 2026 than when I got my PhD in 1990. Unfortunately research culture has gotten *worse” in this period, which really worries me as I retire. We have…

How can cognitive science build generalizable theories that span the full scope of natural situations and behaviors? We argue that progress in Artificial Intelligence (AI) offers timely opportunities ...

Thinking about language structures is made difficult not only by their incredible complexity, but also by entrenched ways of thinking about grammatical and lexical patterns. Linguists do not investiga...