Thank you very much for coming to our workshop.
Thank you, Mr. Joseph.
I'm super happy to be here.
I'm a bit of an imposter.
I know nearly nothing about neuroscience.
# 2023-12-30 | |
# The Toy Duck | |
- enclosure: 🦆 rubber toy IP67 water-resistant | |
- speaker / mic: 🔊 - no speaker yet | |
- firmware: TBD | |
- network: wifi | |
- Battery Charging over Usb c | |
## The Duckling Endocortex | |
prototype: keep on your desk or in a playground |
Thank you very much for coming to our workshop.
Thank you, Mr. Joseph.
I'm super happy to be here.
I'm a bit of an imposter.
I know nearly nothing about neuroscience.
that we had today, and so I will not introduce them again.
We're very lucky to have Stefan Mand, who will also participate in the panel, and who's a professor at UC Irvine working on neural compression, among other things.
I don't see him.
He was there a moment ago.
Maybe he will join in a bit.
openapi: 3.0.0 | |
info: | |
version: 1.0.0 | |
title: Metaphor Search API | |
description: A comprehensive API for neural internet-scale search, allowing users to perform queries and retrieve results from a wide variety of sources. | |
servers: | |
- url: https://api.metaphor.systems | |
paths: |
Certainly! Here's an ASCII diagram expanding upon the "Continuum" environment, showing columns that illustrate hierarchical specificity for possible next steps: | |
``` | |
+-------------------------------------------------------------+ | |
| Continuum | | |
+------------------+------------------+-----------------------+ | |
| | | | | |
| Contexts | Actions | Detailed Steps | | |
| | | | | |
| +------------+ | +------------+ | +-----------------+ | |
-----BEGIN AGE ENCRYPTED FILE----- YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHRsb2NrIDE2ODQ1NTQxIGRiZDUwNmQ2 ZWY3NmU1ZjM4NmY0MWM2NTFkY2I4MDhjNWJjYmQ3NTQ3MWNjNGVhZmEzZjRkZjdh ZDRlNGM0OTMKam5Da3J1eGlhQ25LYllIVXQ2Tk5yckdnN2VRb3lvT3ExQzBsblhi ZWhXdi9SdEJsRjdDbzBJeE5SRTdXalJYeApHSHZJbjdBWmhwVGlTd25VSlF2ajhy T2wyL2ZVQXQrczZkK0gybS9kSGVidm1pb3lDaTdILzZmKy9LY1AwV1JNCkFSTit3 VS8xQTNkWXk1MDhHNlNyMkhPdFI2dEpDakh4cHVxZkJIanF5bUUKLS0tIE1JVmxr bUtndjJmdXo2bWFJUzZJNmhvTVRQcEVuQmRtWHRhOWFDUjhVWTQKrGmwOu3kZUiz G0fgw6P5bIRpCevoqp0Xrlf19Rnd0+YT2v1D5t2uwYcQi6FgGB0u0OrMk5DiBFtt HXGrXxVnpOb6FEvd7l0nHE6QAfuMX/Rsf5Vzo0ViOWPbV54bsYSC7zbctbMsBbWq
Autopoietic Human-AI Networked Distributed Cognition as Continuations
Introduction
As we advance into the digital age, the symbiotic relationship between humans and artificial intelligence (AI) is becoming more pronounced. This interdependency, driven by mutual learning and growth, has given rise to the concept of autopoietic human-AI networked distributed cognition. This involves a self-sustaining, recursive system wherein both human and AI entities continuously contribute to and draw from a shared cognitive pool.
Continuations in Cognition
Continuations, in the computational context, refer to the ability to save the state of a process so that it can be resumed later. When applied to the human-AI cognitive ecosystem, it implies the uninterrupted flow and evolution of knowledge, understanding, and problem-solving.
abstract type AbstractLattice; end | |
function widen; end | |
""" | |
struct JLTypeLattice | |
A singleton type representing the lattice of Julia types, without any inference | |
extensions. | |
""" |
a full list of the vignettes I share on Poe (as I am liberating it for RAG type uses and just archival purposes): Here is a table with the post titles, links, and predicted keywords for each:
Title | Link | Keywords |
---|---|---|
Cognitive Currents | https://poe.com/bmorphism/1512928000169104 | cognition, thinking, psychology |
😶🌫️ | https://poe.com/bmorphism/1512928000166012 | emoji, face, foggy |
🥉🥈🥇... | https://poe.com/bmorphism/1512928000165916 | medals, olympics, sports |
Pants Topology | https://poe.com/bmorphism/1512928000164432 | pants, clothing, topology |
http://vibes.lol | https://poe.com/bmorphism/1512928000161272 | vibes, mood, internet |
Topology of a Meme | https://poe.com/bmorphism/1512928000159393 | meme, |
Objects: The objects of the Grothendieck construction, denoted as (c, x), are pairs consisting of an object c in C, and an object x in F(c).
Morphisms: The morphisms of the Grothendieck construction from (c₁, x₁) to (c₂, x₂) are pairs of morphisms (f: c₁ → c₂, g: F(f)(x₁) → x₂) such that f is a morphism in C and g is a morphism in F(c₂), and they are compatible in the sense of the functor F.
Composition: The composition of morphisms in the Grothendieck construction is done component-wise: Given two morphisms (f₁, g₁): (c₁, x₁) → (c₂, x₂) and (f₂, g₂): (c₂, x₂) → (c₃, x₃), their composition is defined as (f₂ ∘ f₁, g₂ ∘ F(f₁)(g₁)): (c₁, x₁) → (c₃, x₃).
Identities: The identity morphism for an object (c, x) in the Grothendieck construction is the pair (idₖ, idₗ), where idₖ is the identity morphism for the object c in C, and idₗ is the identity morphism for the object x in F(c).