AI Basics
How models learn, what neural networks do, why scaling matters, and how reasoning systems and agents change the picture.
ModelsNeural networksScalingReasoning & agents
Learn / Knowledge before conviction
Understand the systems before accepting claims about them.
The PAIP knowledge base organises difficult questions into clear layers: a fast orientation, a grounded explanation, a deep analysis and a map back to primary sources.
SourcesContextOpen inquiry
Knowledge map
Six paths into the safe-AI challenge.
The categories overlap by design. Safety cannot be separated from capability, values, institutions and the role people retain.AI Safety
Current-system reliability, control, interpretability, deception, robustness and behaviour in unfamiliar situations.
ControlInterpretabilityDeceptionRobustness
Alignment
Human intent, weak-to-strong supervision, scalable oversight, generalisation and the problem of values and goals.
Human intentOversightGeneralisationValues
Superintelligence
What intelligence beyond human capability could mean, how it differs from AGI and why scenarios remain uncertain.
DefinitionsAGI vs ASIScenariosOpen questions
Human Agency
Participation, distribution of power, AI in work and education, and the risk of people becoming passive recipients.
AutonomyPowerWorkEducation
People & Ideas
Researchers, laboratories and organisations with different approaches — never a project centred on one personality.
ResearchersLabsInstitutionsDebates
Reading formats
Choose depth without losing the source trail.
60 seconds
One question, one core distinction and the limit of what can be claimed.
5 minutes
A grounded first explanation with definitions, examples and open questions.
Deep dive
A longer analysis of evidence, disagreements, mechanisms and implications.
Source map
Primary papers, official statements and high-quality references with context.
Visual explainer
Cards and diagrams that make relationships visible without replacing evidence.
Publication standard
Confidence is part of the content.
Every significant claim should carry a visible knowledge status and, where possible, a route to its source.FactInterpretationHypothesisUnknown
PAIP does not copy the entire AI news cycle. We publish only material that helps people understand the mission, the evidence or the choices ahead.