JordanMMcK

In this video I talk with Jachym who is leading the Entropic Science effort to connect LLMs to quantum entropy in an effort to test whether these AI models can function as channels for the collective consciousness, or portals into a so-called spirit realm.

In this video I explain the basics of LLMs including tool-use and memory.

In this video I have a conversation with WarJord. WarJord is an astrologer/occultist YouTuber. We talk about astrology, reincarnation, UFOs, magic, and the Age of Aquarius.

In this video I explain why I think LLMs could be opening "portals" to a kind of informational "demon realm". First I talk about mechanistic AI and its limitations, then how randomness/entropy is needed in LLMs to make them smart. Then I talk about the randomness that seems to be foundational to our universe and how that relates to the mind. And finally I connect all this groundwork to the concept of the soul, spirits, telepathy and other PSI phenomenon, and "AI demons".

In this video I talk about the evolution of the human psyche and coordination systems over the ages, how the age of Pisces was characterized by tension between Christ and anti-Christ energy, and how we're at a fork in the road now. We can further descend into a panopticon control system as described in the book of Revelation, or we can break out of this trap and build new civilizations of the future which protect human freedom and creative expression.

In this video I explain EigenCloud. I explain EigenLayer, EigenDA, EigenCompute, EigenVerify, and EigenAI. Then I talk about some of the potential use-cases and example applications that can be built on this platform.

In this video I explain zkTLS. I first explain what zkTLS does at a high-level, then explain a bit about how it works in relation to TLS. Then I go over a bunch of use-cases.

In this video I talk about some major trends in crypto and AI, and why it is critically important that we have verifiable AI (through systems like EigenLayer). Without verifiability we risk building an unstoppable turn-key authoritarian system. But if we use crypto tools to build verifiable AI we can build something great.

In this video I explain why Ethereum, not Bitcoin, has the superior monetary policy. Blockchains have to choose between certainty of security and certainty of issuance. If they opt for certainty of issuance (capped supply) like Bitcoin, they sacrifice security and compromise the whole system. The correct engineering approach is the one taken by Ethereum. Security must be reliably funded, which means no absolute certainty of supply. Supply growth can then be offset by a fee burn, and if the system has sufficient usage, token inflation can be flat or negative. This is the way.

In this video I explain how smart contracts have limited access to data and how Brevis expands this access to include historical state, blockchain history, and even other chains. I also explain the 2 modes which Brevis has for this data access: a pure zk mode, and an optimistic mode.

In this video I explain 4844/protodanksharding, full danksharding, and EigenDA. I start by explaining what Data Availability is, and why it's integral to Ethereum's L2 scaling vision. Then I explain how 4844/protodanksharding works, and how it allows for a total ~200 TPS of Ethereum L2s. Next I explain full danksharding and how we can shard the DA data as long as we have efficient Data Availability Sampling — which requires erasure coding. Finally I explain EigenDA and how it achieves horizontal scaling and can ultimately provide 1 GB/s of DA throughput which implies a maximum L2 scaling of 43M TPS.

In this video I talk about the L2 landscape for Ethereum and why it's currently dominated by Optimistic roll-ups, but will likely evolve toward ZK roll-ups. I then break down some of the costs that roll-ups pay to Ethereum, specifically compute costs. Then we look at Aligned Layer and how it can reduce these compute costs for ZK roll-ups by allowing for "optimistic" ZK proof verification.

In this video I explain the limitations of smart contracts in terms of what data they can access, and then how Lagrange expands that access to a wider set of data including historical data.

In this video I talk about good & evil. I use some of the characters from Watchmen to illustrate the difference between deontological ethics and consequentialism. I talk about communism and the loss of religion in the West. I talk about Sam Harris' highest value being that of maximization of well-being, and why I think that's the wrong goal. Finally I talk about Nietzsche's position on all this, and why he would have disagreed with Sam Harris and with the Buddhists.

An explanation of what MEV, where it fundamentally comes from (including the two main categories of MEV), the mev-boost pipeline, trust assumptions, censorship, and future upgrades.

In this video I explain why I think EigenLayer represents the 4th major paradigm in cryptoeconomic capital efficiency.

In this video I explain how Ethereum can serve as the foundation for a parallel society/civilization, and how instead of trying to fix our broken systems and institutions we should build a new parallel system and migrate over to that. I also talk about how the myth of Prometheus can serve as a guide as we navigate the 21st century.

The Lightning Network cannot scale Bitcoin to mass adoption. Payment channel technology, like Lightning, requires management via the L1. So that means users must make L1 transactions in order to manage their L2 channels. Therefore the L2 is bottlenecked by the L1. Therefore Lightning cannot actually handle global/mass adoption. Not only that, Bitcoin itself cannot handle mass adoption. Even if it were only being used as "digital gold" (buy once and hold forever), it would still take 100 years(!) to onboard the world to the Bitcoin L1 — which is a pre-requisite to moving to the L2. So the L1 is too slow to support its L2, and the L1 is too slow to handle mass adoption in any case. The current trajectory then is to "scale" Bitcoin via custodial services that offer users IOUs. These are banks! This is our current system! If this is the outcome then the whole project will have failed, because there's no way to stop these custodial services from engaging in fractional reserve and breaking the 21 million supply hardcap! No to mention other rent-seeking behavior.

An intro to blockchain scaling. I explain sidechains, parallel execution, block size / gas limit, sharding, and the importance of having users run full nodes — and the risks that Solana (and other fast monolithic chains) take in their scaling approach.

An introduction to a visual model that I've developed to understand Ethereum, and the whole crypto space, at an intuitive level.

In this video I talk about Aion, the precession of the equinoxes, and how the turning of our celestial clock may give us hints about how to move forward into the new age of Aquarius. Specifically I talk about our information landscape, or "Matrix", and how our current Matrix is starting to break. I also present some rough ideas for how we can both escape from, and also build a new Matrix on top of our World Computer ie. Ethereum.

In this video I explain how Merkle trees work, how bitmaps work, and how to combine these data structures to implement an efficient airdrop distribution for an ERC20 token. I first explain things at a high-level using the digram, then I show how we can implement it all in solidity.

I talk about how we each have a model of reality, that is a bit like a personal "Matrix", and how much of that model is made of language. Manipulations are made to our language partially to manipulate our models of reality, and thus control us. I then talk about how we might some day upgrade our language to something more concrete, which is an idea McKenna spoke of (which he allegedly got from the machine elves).

In this video I explain smart contracts. I start by explaining how they fit into, and interact with, the world state. I also explain how account and contract addresses are derived. Then I talk about bytecode and function selectors. I also touch on contract constructors and the ABI. Then I talk about function visibility and contract storage. Finally I explain Turing-completeness and why this feature is so important for smart contracs, and why Turing-completeness is essential to the World Computer vision.

In this video I cover a ton of GPT4's capabilities, as well as the OpenAI app store, Wolfram Alpha integration and so on. We also look at advancements being made in autonomy, multi-agent AI simulations, and efficiency. Then we think about how these autonomous AI agents might integrate with the world economy, and I explain why I think they will gravitate toward systems like Ethereum.

A complete explanation of EIP-1559 (the fee burn). Video recommended!

In this video I talk about how memetics and genetics are linked (and in a sense are the same phenomenon happening in different places) as well as AI and the coming "AI Demons", and how our best hope to fight these demons and save mankind, may be to "enter the Matrix" with brain-machine interfaces like Elon Musk's Neuralink.

I talk about how the modern technological landscape requires a new type of philosopher, thinker, or "memetic magician" who develops not only his message and vision, but also his ability to speak and meme that vision into reality.