Wherein free will is explained along with
How it’s Lensing all the way down
The interesting part of free will is the Will
Reason is slave to the passions”
Stoplight metaphor
A different timescale
https://multisenserealism.com/the-competition/departing-from-the-consensus/determinism-tricks-of-the-trade/
Holos is present in every fragment
Versing the unity
Nothing is ever repeated
A triangle is eternal
The third side makes itself for free if you have two sides
Spirals instead of looping
The difference between a labyrinth and a maze
The maze is finite and temporal
The labyrinth is infinite possibility
January 26, 2024Episode 2032 min
Episode 16 part 3 with Craig Weinberg
The foundation is laid for explaining Free Will and meta-representational Consciousness without resorting to concepts such as Emergence
Map and territory
Chris Langan free will is creating space and time via manifolds and fractal recursion
You are the universe interacting with itself
Flatland
Chris Fields
Infinite regression recursively stabilizes
Bruce Lipton
Consciousness via external inputs
Nikola Tesla energy frequency and vibration
His brain is but a transmitter and a receiver
“Mind-expanding” drugs suppress the ego and survival mechanisms
January 26, 2024Episode 1911 min
Free Will explained in five minutes
With a five minute preamble introducing and explaining the map and the territory as well as simulations and representations
January 25, 2024Episode 182 min
Map vs Territory Dawn of Justice
A brief reframe of “the map is not the territory”
January 25, 2024Episode 1727 min
Episode 16 part 2 with Craig Weinberg 🧙♂️
The map and the territory enter the chat. Amplituhedrons simplify the equations instead of complexifying the math
Emergence
Map and territory
Chris Langan free will is creating space and time via manifolds and fractal recursion
You are the universe interacting with itself
Flatland
Chris Fields
Infinite regression recursively stabilizes
Bruce Lipton
Consciousness via external inputs
Nikola Tesla energy frequency and vibration
His brain is but a transmitter and a receiver
“Mind-expanding” drugs suppress the ego and survival mechanisms
“You can’t do impossible things”
January 24, 2024Episode 1628 min
Craig Weinberg Returns episode 16 part 1
Wizard of consciousness Craig Weinberg returns once again to explain multisenserealism.com and more Show notes:
David Chalmers Hard Problem latest blog post
https://multisenserealism.com/2023/06/20/youtube-is-there-really-a-hard-problem-of-consciousness/
Aesthetic participatory phenomenon
Descartes “ I think therefore I am “
Wavelengths and frequencies of light and the colour red
You should measure photons and matter against the ruler of redness and blueness, compare and contrast (optical illusions, for example)
Dream matters
“The brain filters reality”
Simulation theory is a metaphor
Map vs territory
Physic and evolution and natural selection
Donald Hoffman
Neo - Platonism
Newton and astrology and alchemy
Epicycles added to science to explain errors and correct them
The epitome of this is string theory
January 17, 2024Episode 151 hr 13 min
Caio Temer Episode 13 part 2
Caio Temer speaks on LLMs and Ai and AGi & the possibility for them becoming conscious.
Collaborative efforts involve creating language models using Facebook's FastText, demonstrated in Colab notebooks and GitHub repositories:
- [Colab 1](https://colab.research.google.com/drive/1wVQrpzyY-SkCZTRZCcP6xJGRdg1ik0jR#scrollTo=pIW6-VwMuRlz)
- [Colab 2](https://colab.research.google.com/drive/1oABIZr1xiIu7DKc7AbbZfeBJFLkZW6Ep#scrollTo=XfR-3PpPYoFU)
- [GitHub Repository](https://github.com/rtkclouds/fast-js-language-model)
Additionally, you can find more details in the provided [GitHub gists](https://gist.github.com/rtkclouds/50b81d10736793f07cdca354516e8757) and [here](https://gist.github.com/rtkclouds/a6ee9afd96461ca94b3e9c22f78bda3a).
For further insights, you can explore the [X.com link](https://x.com/canalCCore2/status/1735044356535472278?s=20).
Part 2
https://canalccore.medium.com/innovating-beyond-openais-q-a-novel-reinforcement-learning-approach-to-nlp-09d4b58da1ea
https://ai.plainenglish.io/leveraging-local-indexes-in-language-models-to-enhance-contextual-learning-3d2a8f98fde5
https://canalccore.medium.com/language-models-still-have-basic-structural-problems-9f88b04576c
January 17, 2024Episode 141 hr 21 min
Caio Temer Episode 13 part 1
Caio Temer explains LLMs and machine learning. found that generalized learning happens after 10k epochs with a considerable amount of data per epoch, are there studies in this regard?
ChatGPT
Yes, there are studies related to generalized learning after many times, with a large amount of data per season. A notable example is the "Deep Bootstrap Framework", presented at ICLR 2021. This framework makes a connection between generalization and online optimization. He compares a "real world", where a model is trained on a finite number of samples by multiple times, with an "ideal world", where each training step uses fresh samples from a virtually infinite data set. The research found that models that train quickly in infinite data are the same as those that generalize well in finite data. This study offers a new perspective on design choices in practice and provides a theoretical path to understand generalization.
Get started with ChatGPT
Caio Temer
show notes:
Part One summary
interesting topics for trading- -how I created the first bots -how models combine language models with autonomous robots -why conventional methods don't work about language models: -language models are simpler to obtain with other structures -problem in the current structure and how I solved it - development of intuitive neural networks using hash abstraction
Caio developed a way for neural networks, through cryptography techniques that use sum, to learn to abstract and understand deeply quickly
created a lib of a tiny language model that learns to predict all tokens at an absurd speed by using distance vector embeds instead of tokens
Transformers:
[](https://arxiv.org/abs/2205.13504)
for example, if the network is exploding, there's something wrong with a component, or the update rate is wrong If the rate is right, the linearities are wrong, just exchange some linear or more linear connection like relu for tanh or add a tanh. softmax in deep layers as a projector reduces network convergence time by forcing layer alignment training the transformer one layer at a time, adding a copy of the first layer and freezing the first accelerates training and improves retention
In sequence for sequence, a permuted linear dense solves 99% of problems in less time and better than the transformer. Giant embeds work like entire networks, only needing one activation at the end after reshaping
“1 tanh layer of 1 million units solves everything better than any other network with the same number of parameters, at least in the tasks I use, I always start with it, then see how to reduce”
Collabs:
making a language model using Facebook's FastText https://colab.research.google.com/drive/1wVQrpzyY-SkCZTRZCcP6xJGRdg1ik0jR#scrollTo=pIW6-VwMuRlz
https://colab.research.google.com/drive/1oABIZr1xiIu7DKc7AbbZfeBJFLkZW6Ep#scrollTo=XfR-3PpPYoFU
https://github.com/rtkclouds/fast-js-language-model
https://x.com/canalCCore2/status/1735044356535472278?s=20
GitHub gists:
[](https://gist.github.com/rtkclouds/50b81d10736793f07cdca354516e8757)
[](https://gist.github.com/rtkclouds/a6ee9afd96461ca94b3e9c22f78bda3a)
January 17, 2024Episode 1351 min
Forrest & Ai part 2: Wittgenstein Re-rises
Episode 12, Part 2
Twitter / X account
https://x.com/fr_and_ai?s=21
YouTube channel
https://youtube.com/@FRandAI?si=iHpZtMYXkS0LtLP-
Patreon
[](https://www.patreon.com/frandai?utm_campaign=creatorshare_fan)
Aze Alter account;
https://x.com/azealter?s=21
Incomprehensible weirdness
Backwards causation
Ruliad : entangled limit of all possible computations
Branchial space
[](https://knowyourmeme.com/memes/shoggoth-with-smiley-face-artificial-intelligence)
Stephen La Berge lucid dreaming
Annihilation notes meme https://slate.com/culture/2018/02/annihilation-co-composer-ben-salisbury-explains-the-musical-cue-from-the-alien.html
https://slate.com/culture/2018/02/when-does-the-weird-musical-noise-finally-happen-in-annihilation.html
https://slate.com/culture/2018/02/im-obsessed-with-annihilations-five-note-melody-sound-effect.html
https://x.com/gracespelman/status/1082862350846312448?s=46
Binaural Gateway
Optimizing for attention not for attention span
Rewatchability
Engagement
Mid journey 6
Very unpleasant dreams
Rabbit character
ChatGPT
The Judgement
The Bureau
The Penal Colony
The Metamorphosis the VR experience
Goat simulator
The Hunger Artist
Unlimited Dream Company
Satisficing
Christopher Nolan
Focused
Alex Garland
Kenneth Stanley
Serendipity and novelty
Peter Birkhauser
Jungian
Tesla channeling
Ian McGilchrist left brain right brain split
[](https://youtu.be/lgnMyF-o0sQ?si=raUB-6NKEuJwDjUQ)
Duplass brothers
Pascal’s Wager
Ursula Le Guinn
January 16, 2024Episode 121 hr 7 min
Forrest & Ai episode 12 part 1
Director and artist Forrest Rice joins the show to talk about the future of art, Ai, philosophy, Wittgenstein, the Ruliad, HP Lovecraft, Franz Kafka and much more. Show notes: Twitter account
https://x.com/fr_and_ai?s=21
YouTube channel
https://youtube.com/@FRandAI?si=iHpZtMYXkS0LtLP-
Patreon
[](https://www.patreon.com/frandai?utm_campaign=creatorshare_fan)
brief intro
Kafka’s short stories
The Colony
Indie film making
Wittgenstein
Loss function
Joscha Bach
Alan Turing machines
Halting problem
Logical positivism
Functionalism
Duty of Genius by Ray Monk
“I play the orchestra “ —Steve Jobs
Alfred Leon Vitali
Filmworker
Peacock Kubrick documentary
[](https://m.imdb.com/title/tt6851066/)
Bo Burnhan INSIDE Netflix
Aze Alter
Capital of Conformity
Loss function returns
Indrid Cold derinberger
Mothman Prophecies
Roko’s Basilisk
Gaia
Christmas gnome elf
CIA gateway
Incomprehensible weirdness
Backwards causation
Ruliad : entangled limit of all possible computations
Branchial space
[](https://knowyourmeme.com/memes/shoggoth-with-smiley-face-artificial-intelligence)
Stephen La Berge lucid dreaming
Annihilation notes meme
Binaural Gateway
Optimizing for attention not for attention span
Rewatchability
Engagement
Mid journey 6
Very unpleasant dreams
Rabbit character
ChatGPT
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