Presentationalism

Presentationalism | Choosing Normative Conceptsoup.comhttps://academic.oup.com › chapteroup.comhttps://academic.oup.com › chapter · Oldal lefordításaPresentationalism is a broadly realist view: normative predicates are objectively true of things in the world. But at the same time, the view undeniably has a ...

there's no way to validate corroborate balance 00:08:38 reflect you know when you have a map and the real world you see a representation between the two to check and balance what's going on because even your check and balance is a interpretation it's a perspective 00:08:51 there's no independent forms of knowledge by which we can corroborate Our Truth claims

denial of knowledge independent of human interpretation or a realism by which interpretations can be 00:08:25 judged underlies nearly all forms of perspectivalism everything is interpretation all

knowledge is understood as a form of representationalism

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Semantic Indexing for a Complete Subject Discipline

Semantic Indexing for a Complete Subject Discipline

Terence McKenna ~ Alchemy & The Hermetic Corpus ~ May 1991 ~ Workshop

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narrow metrics are being Advanced at the cost of lots of wide metrics it ended up 00:51:52 being critical to either the breakdown of life support so you get catastrophe or the breakdown of the quality of life you get dystopia how would that then it was sort of using that definition 00:52:04 apply to the the difficulty of the alignment problem with an AGI so here's the thing we think about the super intelligence and a misaligned superintelligence is a very scary idea

so the optionality value I get allows me to still access real value but I'm destroying real value in the process so I'm going to say well you're not destroying it because you're making Lumber well yes Lumber is actually radically less complex than a tree that 00:49:06 has less total types of value that it does so we're converting the self-organizing self-repairing complex world and into an increasingly simple or complicated fragile world that has less 00:49:18 types of value to less types of actors the tree has value of many different types to many different types of actors right so you can't just say well it's carbon sequestration but no it's it's 00:49:31 stabilizing topsoil it's yeah a million things biodiversity Etc

ensure that before the thing is truly a general autonomous intelligence that it is aligned aligned with our interests Our intention our good or something what the nature of alignment means is actually a deep question I'm going to put that on hold for a moment

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only science which has taken this very weird approach and said no no the world is somehow independent from the act of 00:07:55 description science carried out its analysis of nature to the point where it shot itself in the foot science carried out an analysis of 00:08:08 nature that went to such depth that it discovered that nature doesn't exist except as an object of description

The Hypothesis proxy service, also known as “via”, enables the use of Hypothesis in circumstances or environments where that would otherwise be impossible or impractical.

to get the drawing right to actually draw the kingdom if they even had the right image in the first place would require infinitely many terms which is literally impossible and to get a good approximation requires insane 01:22:11 computational power that will always fall apart

missing one crucial piece of his 00:52:08 totality which is knowing that he is totality

deliberately sacrificing your discernment

God completes himself by becoming not God negating himself and becoming Concrete in his 00:52:20 godness by remembering that he's actually everything which he has to do by stepping through the negative by creating an opposite to himself separating himself from himself and realizing that that was fake in the first place 00:52:34 being over abundant in all ways and pouring so infinite and pouring himself into the finite causes some problems

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"I am doing a kind of inter personal knowledge graph that integrates with [[hypothesis]] and [[memex]] annotations too"

inter personal knowledge graph that integrates with [[hypothesis]] and [[memex]] annotations too"

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Sam Altman himself believes that the transformer models we have now are likely sufficient to eventually produce an AGI.

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This logos holds always but humans always prove unable to ever understand it,

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PlantText

Plain text diagrams – the best diagrams as code tools

Plain text diagrams - the best diagrams as code toolsaugmentedmind.dehttps://www.augmentedmind.de › plai...augmentedmind.dehttps://www.augmentedmind.de › plai...Tárolt változatOldal lefordítása2020. dec. 20. — Create plain text diagrams using markup, which is converted to images. ... class is represented by a box, and relations are drawn as arrows.

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Structuring Text with Graph Representationstowardsdatascience.comhttps://towardsdatascience.com › struc...towardsdatascience.comhttps://towardsdatascience.com › struc...Tárolt változatOldal lefordítása2021. okt. 11. — In this post I will show you how to represent free-text with a graph, making its structure explicit and easily manageable by downstream ...

clearing the debtsfrom the ledger.

praying we find the way through.

oneness we all showing up for

and finding the way home.

Let’s be the onescarrying the sacred firethat reveals from the shadowsthe precise arrangement of symbols that clear this pattern --end this nightmare -- for everyone.You’re mad as hell about all of this.Me too.

What if we are the onesto discover the secret language that restores the heart of humanity protecting all that is sacred on this earth?

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where does the knowledge even go?

Whether or not it "wants" to take over, the change in the nature of where information goes will mean that it takes over by default.

dependent on it in a way that supercedes all of our prior machine-dependencies.

How can we avoid total dependency on The Machine?

change in the airflow of knowledge: from human-human via machine, to human-machine only.

canary in the mine of our collective knowledge.

I'm in the top 2% of users on StackOverflow. My content there has been viewed by over 1.7M people. And it's unlikely I'll ever write anything there again.

One of the key problems with ChatGPT and similar technologies…

Talk at: FOMUS 2016, for all Talks and more information see: http://fomus.weebly.com/ Multiple Concepts of Equality in the New Foundations of Mathematics by Vladimir Voevodsky (Institute for Advanced Study, Princeton, USA) Abstract: One of the most confusing aspects of the Univalence Axiom (UF) is that it seems to assert that, which mathematical students learn early in their education to be a mistake - that isomorphic objects are equal. The source of the confusion is in the failure of the earlier attempts to explain UF to emphasize the existence of two classes of equalities in the theories used to formalize it - substitutional equalities and transportational equalities. The concept of transportational equality is the adaptation to the precise requirements of a formal theory of the philosophical equality principle going back to Leibniz. The concept of the substitutional equality is the one that we all learn at school. In the original formal system used for the Univalent Foundations there was one transportational and one substitutional equality. In the more complex formal systems that are being studied now there can be several equalities of each class. This workshop was organised with the generous support of the Association for Symbolic Logic (ASL), the Association of German Mathematicians (DMV), the Berlin Mathematical School (BMS), the Center of Interdisciplinary Research (ZiF), the Deutsche Vereinigung für Mathematische Logik und für Grundlagenforschung der Exakten Wissenschaften (DVMLG), the German Academic Merit Foundation (Stipendiaten machen Programm), the Fachbereich Grundlagen der Informatik of the German Informatics Society (GI) and the German Society for Analytic Philosophy (GAP).

Multiple Concepts of Equality in the New Foundations of Mathematics by Vladimir Voevodsky

two things that we know about language one is that it has a definite syntactic grammar you know we know nouns and verbs go in the places they go it's one thing we know the other thing we 00:11:50 know is that logic Works in language

neural Nets is they do this modeling they do this continuation 00:10:07 they do this extension beyond the merely statistical so to speak by in a way that corresponds to what we humans expect

neurosymbolic architectures and it's almost like we don't need to change it anymore but then if you look at um the representations it's learned and the way that um our cognitive categories emerge 00:20:48 over time these are things that are baked into the language model but the language models aren't very good at learning new things that continual learning and this kind of brings us to this semantic grammar thing

a merger of two different sort of approaches to kind of the problem of AI the sort of statistical approach of just sort of see what's out there and kind of learn from that and the kind of symbolic approach 00:05:15 of see what you can actually compute I would say that the things we've done I don't haven't really viewed as being quote AI as such it's more the the deeper story of computation but now we've got this kind of merger of these 00:05:27 two approaches uh that just released about an hour ago now

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Learn more about Vosk from its official website.

7. Vosk One of the newest open source speech recognition systems, as its development just started in 2020.

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Fig. 2: A simple, abstracted provenance graph where dotted edges arrive after all solid edges have been processed and dotted vertices are newly-arrived. If the provenance graph observes partial ordering, edge 1 must arrive before edge 2 and only the local structures of vertex E and F need to be computed. However, in a provenance graph where partial ordering is not observed, we can encounter edge 3 and 4 and the newly-arrived vertex G (in dotted red) after the solid edges. In such a case, with R = 2, we need to update both vertex C and E (descendants of D) for edge 3 and vertex C, D, and E (descendants of G) for edge 4.

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programming language design are heavily based on mathematical logic

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