6 posts tagged by Digg
AI
In posts tied to a new MIT Technology Review piece, former Google DeepMind researcher Thore Graepel argued that advanced AI needs auditable reasoning, then drew responses from Yann LeCun, David Duvenaud and Gary Marcus.
AI
A post describing research from NYU, Brown and the University of Toronto says a rule that penalized bends in the model’s internal paths raised its goal-reaching rate from 52.7% to 90.7% in a two-room task.
AI
A commentator challenges the claim that large language models are limited to memory and retrieval, arguing that their learned representations allow them to find new solutions.
AI
Replies debate distinctions between world models and video generation in AI thread.
AI
Jay Hack highlights debate over autoregressive models in programming systems.
AI
Filterable archive compiles dated forecasts on AI progress that later proved false.
