Pioneering research in AI safety, interpretability, and alignment. Advancing the frontiers of responsible artificial intelligence.
Our most impactful and groundbreaking research in AI safety and interpretability
As synthetic intelligence reshapes the global workforce, Iseer is engineering systems designed for human augmentation rather than replacement. Here's our framework for responsible deployment and what the data reveals about the transition ahead.
During scaled transformer experiments, we observed unexpected collaborative reasoning patterns emerging without explicit training. Agent clusters spontaneously developed specialized sub-roles exhibiting implicit task decomposition strategies at the 850M parameter threshold.
Tracking attention pattern evolution reveals distinct phases where heads transition from general to specialized functions, particularly in layers 18-24 of our 32-layer architecture.
Latest publications and findings
As synthetic intelligence reshapes the global workforce, Iseer is engineering systems designed for human augmentation rather than replacement. Here's our framework for responsible deployment and what the data reveals about the transition ahead.
During scaled transformer experiments, we observed unexpected collaborative reasoning patterns emerging without explicit training. Agent clusters spontaneously developed specialized sub-roles exhibiting implicit task decomposition strategies at the 850M parameter threshold.
Tracking attention pattern evolution reveals distinct phases where heads transition from general to specialized functions, particularly in layers 18-24 of our 32-layer architecture.
Recent advances in mechanistic interpretability techniques for understanding the causal structure of neural representations and decision-making processes.
A systematic framework for evaluating AI system safety through multi-dimensional risk assessment, interpretability analysis, and failure mode detection.
Advanced techniques for analyzing and understanding the computational circuits within transformer architectures, revealing how complex behaviors emerge from simple neural operations.
Join our mission to advance safe, interpretable, and aligned AI systems through collaborative research