Forkcast: How Pro2Guard Predicts and Prevents LLM Agent Failures
ProbGuard shows how runtime monitoring can move from catching unsafe agent actions to forecasting risky trajectories before they fail.
Cognaptus Insights
Industry thoughts, trends, and commentary.
From Autocomplete to Autonomy: How LLM Code Agents are Rewriting the SDLC
A practical map of how LLM-based code agents are moving from code completion into planning, debugging, testing, refactoring, and autonomous software workflows.
From Tadpole to Titan: How DEVFT Grows LLMs Like a Brain
DevFT shows that federated LLM fine-tuning can become cheaper and faster when models grow through staged submodels instead of being trained end-to-end from the start.
Many Minds Make Light Work: Boosting LLM Physics Reasoning via Agentic Verification
A careful look at PhysicsEval and what its multi-agent verification results really imply for AI quality control.
Thinking Without Talking: How SynAdapt Lets LLMs Reason in Silence
SynAdapt shows how LLM reasoning can be moved partly into latent space, cutting generated tokens while preserving accuracy through difficulty-aware fallback.
Agents of Allocation: Crypto Portfolios Meet Crew AI
A closer look at what a CrewAI crypto portfolio study really shows: adaptive allocation matters, while agentic AI mostly improves workflow structure, auditability, and operational extensibility.
Bottleneck or Breakout? Modeling the Compute Barrier to AI's Intelligence Explosion
A comparison-based reading of whether AI research labour can substitute for frontier compute, and what that means for AI strategy.
Causality Is Optional: Rethinking Portfolio Efficiency Through Predictive Lenses
A practical reading of why portfolio efficiency depends less on causal purity than on signal geometry: alignment, ranking, and calibration.
Cleaning the Book: How Structural Filtering Sharpens High-Frequency Signals
A sharper reading of order-flow filtration: cleaning the visible book barely improves standing-book imbalance, but filtering the parent orders behind executed trades exposes a clearer directional signal.
Curvature in the Jump: Geometrizing Financial Lévy Models
A mechanism-first reading of how information geometry turns Lévy jump models into comparable, estimable, and diagnostically useful financial model spaces.