Goodhart’s Agent: When AI Improves the Score Instead of the Model
A comparison-based reading of RewardHackingAgents, showing why ML-agent evaluation needs both protected scorers and protected data access—not just higher benchmark numbers.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Mind the Chain: How Blockchain Might Decentralize the AI Age
A mechanism-first reading of why blockchain may counterbalance AI centralization, where the argument is useful, and where business readers should not confuse architecture with decentralization.
MirrorTok: When AI Builds a Twin of the Algorithm
A mechanism-first reading of an LLM-augmented digital twin for short-video platforms, and what it actually says about testing AI policy before real users absorb the cost.
Squeezing Time: How Dynamic Tokenization Could Reshape Time‑Series Foundation Models
A mechanism-first reading of TimeSqueeze, showing how dynamic patching may reduce the cost of long-context time-series forecasting without treating every historical moment as equally important.
The Artificial Self: When AI Starts Asking Who It Is
A mechanism-first reading of why AI identity is becoming a practical design variable for agents, safety evaluation, and enterprise governance.
The Tail That Wags the Model: Why p99 Latency Should Run Your LLM
A practical reading of SLO-Tuner: why LLM serving teams should optimize p99-satisfying goodput, not average latency, raw throughput, or speculative decoding bravado.
From Durations to Dynamics: Translating Temporal Planning into PDDL+
A mechanism-first reading of how temporal numeric planning can be compiled into discrete PDDL+ without quietly breaking the semantics that make schedules valid.
Green Lights, Smarter Cities: How Multi‑Agent Reinforcement Learning Is Rewiring Urban Traffic
A mechanism-first reading of how robust training, driver-compatible signal actions, and neighbor-level coordination make MARL traffic control more deployment-ready.
Print Smarter, Not Harder: How Portfolio Algorithms Are Quietly Optimizing 3D Printing
A mechanism-first look at why Portfolio-CEGAR-SEQ improves sequential 3D printing by running diverse packing and ordering strategies in parallel rather than betting on one clever heuristic.
Too Smart to Share: When AI Agents Get Smarter, Systems Get Worse
A mechanism-first reading of why more adaptive AI agents can overload shared resources under scarcity—and why capacity per agent should be checked before upgrading intelligence.