Our Blog about early Research Ideas
Beyond Reasoning: The Imperative for Critical Thinking Benchmarks in Large Language Models
Current evaluation frameworks for Large Language Models (LLMs) predominantly assess logical reasoning capabilities while neglecting the crucial dimension of critical thinking. This gap presents significant challenges as LLMs transition from tools to colleagues in human-AI teams, demanding a fundamental reconsideration of how we evaluate machine intelligence.
The Flight Recorder for AI Agents: Toward Reproducible and Accountable Autonomy
As AI agents become autonomous decision-makers, we need "flight recorders" that capture their complete internal reasoning—inputs, neural activations, and decisions—in a deterministic, reproducible format. Such infrastructure would transform opaque agent behavior into auditable evidence, enabling both mechanistic interpretability research and accountability by allowing researchers to replay and inspect exactly what happened and why.