When Agents Compare Notes: How Shared Memory Quietly Rewires Software Development
Spark shows why the next leap in coding agents may come less from bigger models than from shared, curated experience.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Bandits, Budgets, and the Art of Waiting: How Delay-Aware Algorithms Rewire Resource Allocation
A mechanism-first reading of MetaCUB, a bi-level contextual bandit framework for allocating scarce resources when outcomes arrive late, populations churn, and fairness cannot be bolted on afterwards.
Choosing Wisely: How MACHOP Turns Logic Puzzles into Preference Machines
A mechanism-first look at how MACHOP learns user-specific explanation preferences for constraint systems, and why the shortest explanation is not always the clearest one.
Graph Minds, Game Moves: How Multi‑Agent Learning Is Quietly Redrawing AI Strategy
A practical reading of how graph neural networks, reinforcement learning, probabilistic topic models, and game theory can diagnose the real failure modes of strategic multi-agent AI.
Logic With a View: When Standpoints Meet Non‑Monotonicity
A formal logic paper shows how default reasoning can keep conflicting viewpoints separate without turning every decision system into a semantic food fight.
Peer Review Meets Power Tools: How AI Is Quietly Rewriting Scientific Workflows
A mechanism-first reading of how AI is turning scientific work from a sequence of tasks into a governed, mixed-initiative research operating system.
Play by Automata: How Regular Games Rewrites the Rules of General Game Playing
Regular Games reframes general game playing as a compiler problem: describe rules once, optimise them as automata, and generate fast forward models for agents.
Scenes, Screens, and Sim-to-Real Dreams: Why Scenario Queries Matter
A formal scenario-querying method shows how autonomy teams can turn simulation failures into searchable real-world evidence—provided they remember the labels are doing the heavy lifting.
Bodies Do the Thinking: Why Physical AI Changes the Intelligence Game
A mechanism-first reading of Physical AI as embodied feedback: where sensing, motion, learning, autonomy, and context become one business-critical control loop.
Don’t Self-Sabotage Me Now: Rational Policy Gradients for Sane Multi-Agent Learning
A mechanism-first look at why adversarial multi-agent training breaks cooperative systems, and how Rational Policy Gradient turns sabotage into useful stress testing.