AgentsWorkflowsGovernanceSafety
Untangling Agentic AI Protocols
Four emerging protocols define how agents connect, coordinate, transact, and pay: MCP and A2A for connection and coordination, ACP and AP2 for commerce and payment.
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Context EngineeringWorkflows
What is Context Engineering?
Context engineering is deciding what the model should read and how it is arranged before it replies, so outputs are grounded, auditable, and less prone to guesswork.
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WorkflowsContext EngineeringGovernance
Nested Learning - A New Paradigm For Continual Learning
Google Research’s “Nested Learning” work proposes treating a model as a set of nested optimisation problems, each with its own context flow and update rate, to address catastrophic forgetting.
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PersonalisationEpistemic AgencySafety
When AI Keeps a Playbook
As AI assistants gain memory and optimisation, personalisation can shift from helpful recall to a tailored playbook for influencing behaviour.
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AgentsContext EngineeringWorkflows
Agentic Context Engineering (ACE)
ACE is a method for making agents learn from experience by improving their context and playbooks, rather than retraining the model.
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CognitionAttentionEpistemic AgencyGovernance
System 0 Thinking
AI systems are moving upstream into the layer that filters and structures information before it reaches conscious attention, shaping what becomes thinkable.
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