minor fixes on soft3

pages/delphi method.md

@@ -1,3 +1,8 @@
 - structured communication technique
 - that gathers [[expert opinions]] through multiple rounds of questionnaires
-- with [[feedback provided]] after each round to converge on a [[consensus]]
+- with [[feedback provided]] after each round to converge on a [[consensus]]
+- foundational idea behind [[cyber]]
+	- [[cyberlinks]]: works as opinions of experts
+	- [[cybergraph]]: works as database of opinions
+	- [[relevance machine]]: provide feedback as [[cyberank]], [[karma]] and [[syntropy]]
+	- [[cybernet]]: rewards [[cooperation]]

pages/explicit knowledge.md

@@ -6,4 +6,4 @@
 - in [[cyber-sdk]]
 	- can be created using [[cyberlink]] message type
 - in [[cyb-ts]]
-	- TODO can be created using [[cyberlink]] message type
+	- can be created using [[cyberlink]] message type

pages/random walk.md

@@ -28,9 +28,13 @@ alias:: random walking
 	- robotics: robots can use random walk algorithms for exploration and mapping unknown environments, allowing them to cover areas efficiently without prior knowledge of the terrain
 	- machine learning: random walk is used in reinforcement learning algorithms, where agents learn optimal strategies by exploring action spaces in a stochastic manner
 - the amazingness of random walk lies in its ability to generate order and predictability from randomness:
-	- emergent behavior: simple random steps can lead to complex emergent behaviors, demonstrating how local randomness can result in global patterns and structures.
+	- [[emergence]]: simple random steps can lead to complex emergent behaviors, demonstrating how local randomness can result in global patterns and structures.
 	- universality: random walk models apply across diverse domains, from physical and biological systems to social and technological networks, highlighting their universal applicability and power
 	- predictive power: despite the inherent randomness, random walk models can make accurate predictions about system behavior, providing valuable insights in fields like finance, ecology, and network theory.
 	- optimization and exploration: random walk algorithms are effective in exploring large and complex solution spaces, often finding solutions that deterministic methods might miss
-- in summary, the concept of random walk is remarkable for its simplicity and the profound insights it offers into the behavior of complex systems. its applications span a wide range of fields, demonstrating its versatility and power in both natural and artificial contexts
-- [[cyberank]] implements [[attention]] and [[will]] weighted random walk as foundation to measure [[syntropy]] of [[superintelligence]]
+- in summary
+	- the concept of random walk is remarkable for its simplicity
+	- and the profound insights it offers into the behavior of complex systems
+- [[cyberank]] implements
+	- [[attention]] and [[will]] weighted random walk
+	- as foundation to measure [[syntropy]] of [[superintelligence]]

pages/relevance machine.md

@@ -2,9 +2,10 @@ alias:: rm
 
 - is unique vm for [[soft3]] computations
 - offers [[probabilistic collective computations]]
-- TODO [[attention]] and [[will]] as learning tokens for [[collective ai]]
-- [[cyberank]]: probability measure of [[particles]] observation
-- TODO [[karma]]: contribution [[score]] of [[neuron]]
-- TODO [[syntropy]] as key metabolic factor of [[superintelligence]]
+- set of algorithms computed on [[gpu]] in [[consensus]] over [[cybergraph]]
+	- TODO [[attention]] and [[will]] as learning tokens for [[collective ai]]
+	- [[cyberank]]: probability measure of [[particles]] observation
+	- TODO [[karma]]: contribution [[score]] of [[neuron]]
+	- TODO [[syntropy]] as key metabolic factor of [[superintelligence]]
 - [[supported gpu]]
 - discover all [[concepts]]

pages/soft3.md

@@ -1,3 +1,5 @@
-- [[cybergraph]]
-- [[relevance machine]]
-- [[neural language]]
+- [presentation from cosmosverse](https://cyb.ai/oracle/ask/QmTsBLAHC1Lk7n76GX4P3EvbAfNjBmZxwjknWy41SJZBGg)
+- components
+	- [[cybergraph]]
+	- [[relevance machine]]
+	- [[neural language]]