Category: Research – External

  • What Makes AI Persuasive? Not What You Think

    January 21, 2026 · 6 min read

    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…

  • Self-Evolving Agents and the Architecture of Knowing What You Can Do

    January 18, 2026 · 4 min read

    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…

  • When Text-to-Image Models Learn to Think Before They Draw

    January 18, 2026 · 4 min read

    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 Confidence Is a Style: Tracing the Origins of LLM Certainty

    January 18, 2026 · 4 min read

    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…

  • When to Trust Your Own Ears

    January 18, 2026 · 5 min read

    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…

  • The Emotional Paradox of LLM Acceptance

    January 18, 2026 · 4 min read

    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…

  • Recursive Language Models: When Systems Learn to Manage Their Own Context

    January 18, 2026 · 4 min read

    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…

  • When Patterns Collide: HUMANLLM and the Problem of Evaluating Psychological Realism

    January 18, 2026 · 6 min read

    A talkative person may fall silent when they feel the spotlight. An assertive individual may yield under conformity pressure. Human behavior emerges from the dynamic interplay of multiple cognitive patterns,…

  • The Gap That Won’t Close: Looped Transformers and the Limits of Machine Introspection

    January 18, 2026 · 6 min read

    A new study tests whether recursive architectures can help language models better access their own internal representations—and finds the answer more complicated than expected. Language models often seem to know…