Nathan Lambert says current AI models fall short outside coding and ML work

Nathan Lambert, a machine learning researcher, says on X that current AI models are unreliable for tasks outside coding and ML, such as making slides, producing coherent plans, and designing longer content.

He says this experience makes artificial general intelligence (AGI) seem further away to him. The post is his personal assessment, and it does not cite benchmarks or other evidence.