- Jul 2022
maybe i should say having a having a checkoff list like you know there should be this level of education there should be this level of 00:52:40 [Music] health people should live this long and so we have our fitness and we're gonna uh we've decided in advance even before the system is running we've 00:52:53 now have a list of things we're gonna check off we're gonna score each one we're gonna come up with some kind of integrated fitness score from that and that's how we're going to move forward we're always going to refer to this fit this you know this fitness model and 00:53:07 the fitness vector and these and these kind of hard-coded values for what's good and what's bad so so in the world of artificial intelligence and in the world of active inference you know that 00:53:19 really doesn't go very far that doesn't work that doesn't work very well because what happens is we didn't you didn't think ahead you like you some something happens tomorrow and whoever came up with that list of 00:53:32 uh you know those values or that model didn't really include the fact that maybe spaceships from mars were gonna land and cause a new disruption and then we have to deal with that problem now too before we deal with 00:53:45 anything else so that wasn't in the you know that wasn't in the plan and now what do we do you know so there's right so so this is you know this is really where active inference plays into 00:53:58 that's one way that active inference plays into this is how do you evaluate and act in a world that is full of uncertainties right 00:54:10 the unknown unknown the unknown unknown is the temperature dynamics but you know it's going to be temperature and so how can you plan for what you know it will be in a distributional sense 00:54:23 right and make stabilization on that awesome right right so so yeah so you so you realize you know already you realize maybe that this is not a proposal to build a say like a model of uh of uh you know 00:54:37 like how society makes decisions you know that's that's not that's not it it is what is the process by which society cognates 00:54:50 and you know what kind of what kind of infrastructure and tools and and and you know mechanics can we use that would facilitate that but it's not to build a thing 00:55:01 it's to build it's to realize that we are in we are engaged moment to moment in a cognitive process society as individuals are and how can we 00:55:14 do that together as a society so that we're you know we we balance exploration with exploitation um you know so that we we learn about our environment we grow we learn 00:55:27 we explore we we make good decisions based on available evidence and based on knowledge based on cultural knowledge you know like all those things right so so this is a this is 00:55:39 the the the you know i think organisms are a process they're not a thing anyway right cognition is a process and societal decision making is a process 00:55:54 and really society is a process you know there's there's not too many things in this world there's mostly processes living processes intelligent processes so that's that's the that's the hope 00:56:05 that's where this is trying to go is to like with that in mind with that with that broad understanding or broad concept in mind how do we uh how do we 00:56:16 think about you know how we how we come together as society how we cooperate how we coordinate how we make decisions how we how we learn how we explore what do we what do we monitor what kind 00:56:29 of information do we seek you know what kind of experiments do we do all that kind of stuff great
The superorganism's efforts to learn, decide and adapt can be interpreted as being driven by its intrinsic pupose.
This is aligned to the Indyweb philosophy of a system architecture that promotes conversation, knowledge at the edge and high efficacy collective learning.
Living beings,and groups of living beings are processes and not (static) things - a perspective aligned with SRG and Indyweb. The process quality of being a living human INTERbeing quickly becomes apparent after one starts using the Interpersonal Indyweb computing ecosystem. In particular, the Indyhub allows the Indyvidual to consolidate all their digital and virtual interactions in one place, which allows for the first time, the ability to witness one's own individual learning on a granular level and literally see the process of your own individual learning in realtime.
- May 2022
a society-wide hyperconversation. This hyperconversation operationalizes continuous discourse, including its differentiation and emergent framing aspects. It aims to assist people in developing their own ways of framing and conceiving the problem that makes sense given their social, cultural, and environmental contexts. As depicted in table 1, the hyperconversation also reflects a slower, more deliberate approach to discourse; this acknowledges damaged democratic processes and fractured societal social cohesion. Its optimal design would require input from other relevant disciplines and expertise,
The public Indyweb is eminently designed as a public space for holding deep, continuous, asynchronous conversations with provenance. That is, if the partcipant consents to public conversation, ideas can be publicly tracked. Whoever reads your public ideas can be traced.and this paper trail is immutably stored, allowing anyone to see the evolution of ideas in real time.
In theory, this does away with the need for patents and copyrights, as all ideas are traceable to the contributors and each contribution is also known. This allows for the system to embed crowdsourced microfunding, supporting the best (upvoted) ideas to surface.
Participants in the public Indyweb ecosystem are called Indyviduals and each has their own private data hub called an Indyhub. Since Indyweb is interpersonal computing, each person is the center of their indyweb universe. Through the discoverability built into the Indyweb, anything of immediate salience is surfaced to your private hub. No applications can use your data unless you give exact permission on which data to use and how it shall be used. Each user sets the condition for their data usage. Instead of a user's data stored in silos of servers all over the web as is current practice, any data you generate, in conversation, media or data files is immediately accessible on your own Indyhub.
Indyweb supports symmathesy, the exchange of ideas based on an appropriate epistemological model that reflects how human INTERbeings learn as a dynamic interplay between individual and collective learning. Furthermore, all data that participants choose to share is immutably stored on content addressable web3 storage forever. It is not concentrated on any server but the data is stored on the entire IPFS network:
"IPFS works through content adddressibility. It is a peer-to-peer (p2p) storage network. Content is accessible through peers located anywhere in the world, that might relay information, store it, or do both. IPFS knows how to find what you ask for using its content address rather than its location.
There are three fundamental principles to understanding IPFS:
Unique identification via content addressing Content linking via directed acyclic graphs (DAGs) Content discovery via distributed hash tables (DHTs)" (Source: https://docs.ipfs.io/concepts/how-ipfs-works/)
The privacy, scalability, discoverability, public immutability and provenance of the public Indyweb makes it ideal for supporting hyperconversations that emerge tomorrows collectively emergent solutions. It is based on the principles of thought augmentation developed by computer industry pioneers such as Doug Englebart and Ted Nelson who many decades earlier in their prescience foresaw the need for computing tools to augment thought and provide the ability to form Network Improvement Communities (NIC) to solve a new generation of complex human challenges.
- Doug Englebart
- content addressible storage
- Network Improvement Communities
- Ted Nelson
- interpersonal computing
- Thought Augmentation Tools