Posts

A recent TechRxiv preprint from Rakesh More, an independent researcher affiliated with A J Gallagher USA, proposes automating what the paper calls “SELF-KNOWLEDGE” prompting—an approach that asks language models to…

A recent study from Bink and colleagues at the University of Regensburg and Neu-Ulm University of Applied Sciences examines what happens when you design an AI assistant to coach rather…

A major new study in Science provides the most comprehensive empirical map to date of how conversational AI achieves persuasive effects—and the findings challenge both the apocalyptic “manipulation machine” narrative…

A preprint from Sampath and Baskaran introduces an architecture for multi-agent AI systems that dynamically restructure themselves at runtime—”hiring” specialized sub-agents when capability gaps are detected and “firing” them when…

A research team from Shanghai Jiao Tong University, Kuaishou Technology, and Tsinghua University has proposed a paradigm shift in how text-to-image diffusion models handle conceptual prompts. Their approach, called “think-then-generate”…

When a language model tells you it’s 90% confident in an answer, what’s actually driving that number? A new study from researchers at the University of Vienna suggests an uncomfortable…

A new framework from NVIDIA and collaborators teaches audio models something that sounds almost paradoxically simple: knowing when to trust themselves versus when to ask for help. The approach, called…

When people embrace AI writing tools, what happens to how they feel about writing itself? A new study in Acta Psychologica suggests the answer is more complicated than we might…

A recent paper from MIT CSAIL introduces an architectural pattern that may reshape how we think about the relationship between language models and their inputs. The approach, called Recursive Language…