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another potential usecase is in minimizing perceived realtime multilayer gaming jank; recall competing predictor model subscription earlier, ML model trained on a gamers playstyle can minimize divergence of their avatars actions in case of a network partition; think super smash

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open source software has no real sustainable monetization model for many reasons but in large part to heterogenous deployment targets; impossible to attribute usage and hence invoice accurately

decentralized typed hypergraph abstraction system enables this, with limits ofca

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platonic realm can be integrated as well through orthogonal abstractions; ones not mapped to any specific region of space

properly designed package manager can interact w this system by representing pure functions as mappings btwn specific types in platonic space

path to profit

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typed hypergraph allows for arbitrary abstraction while guaranteeing future reconcilibility

types also allow mapping of external systems onto a universal domain; all systems are an abstraction from physical reality and hence can be represented in terms of abstracted physics

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requires a DAHG structure; directed acyclic hypergraph, as nodes necessarily inherit from multiple parents, a hyperedge capturing causality better

cellular automata has comparable structure, just without a regular grid. wolfram's hypergraph physics is similar but lower levelt

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tradeoff btwn wasted resources on truncated worldforks and preferential response opportunity; compare to chess game conditional actions

users can broadcast intent to subscribe to certain future state and miners who can construct edit path from current state earn feesm

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world participants can choose to subscribe to certain predictors, paying for priority access to future-verified timeline; comparable to trading alpha signals

being able to predict world allows to respond to it faster than those w/ lower risk tolerance

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this enables heuristic monetization as miners can compete on prediction algo, profiting off efficient system modeling; alphafold reaping rewards in protein folding simulation, fluid dynamics simulators in turbulent regions, etc

generalization of prediction markets to physics

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parallel evaluation of spatial regions w/ non-intersecting light comes

higher levels speculative evaluation w higher actually levels being the confirmation cycle

allowing low res predictions to be concurrently evaluated w convergence to whichever one is verified

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multi abstraction level physical simulation using blockchain forking model to reconcile abstraction error leakage w/ longest worldline winning, lower levels retroactively overriding higher when deltas accumulate to some threshold level, agent actions reevaluated against new chain

I long harbored delusions of being able to do this all myself while holding down a day job; I have since abandoned them. now I just try to do a minimally adequate job of this until I can focus on this problem full time, as an investor

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if your goals involve understanding dynamics sufficiently large in scope, you require a sense-making apparatus larger than a single mind; this can be an system of habits (an exocortex), a research assistant or organization, or very sophisticated software. ideally some combination
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RT @mhdempsey
I often dream about being one of those people who gets a packet of custom information summarized for them every day.
twitter.com/mhdempsey/status/1

self-coercion allows for cooperation without communication; akraisia is defection against your other selves

you have a duty to your past selves to not let their efforts go to waste, and to your future selves to ensure their opportunities are not less than yours are
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RT @strangestloop
So you want to do something but not really because it’ll be kind of annoying and unpleasant to actually do. So you call a Council of Yous consisting…
twitter.com/strangestloop/stat

our little community here exists entirely at the mercy of Twitter Inc; they have the power to decide how, & if, we can interact. it's a Faustian bargain, giving up control for convenience

but there's an alternative; here's an invite for those interested:
schelling.pt/invite/xfBwanWu

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concerned/upset about all the social media outages? thinking about how you'll possibly be able to find your people should Twitter vanish?

this is one of the main issues with centralized social media, and decentralization is one solution, spreading eggs across multiple baskets
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RT @pee_zombie
as one solution, I invite all of you to join me on my new Mastodon server, schelling.pt. here you will be outside the reach of corporate…
twitter.com/pee_zombie/status/

not really going anywhere in particular w/ this line of thought, but I do think it's worth pointing out how easily the computational frame lends itself to application in the biological domain

information dynamics rule everything around me & cs/info theory are the study thereof

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seems like synchronization is necessary to share internal state, intermediate results, threat intel, etc. this is a distributed computation problem; cells are not partition tolerant!

I wonder if there has been work done to model cell network info flow as distributed systems 🤔

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the larger & more complex an agent is presumably the more bandwidth it requires to adequately align w/ another

I'd imagine this is proportional to the surface area of the agents informational boundary, as internal complexity increases w/ information flux

what's the growth rate?

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