In the post where I mentioned Atlantis I attached her video, and I was wondering how's she doing it. Here is how. Now you can too.
https://razbakov.com/blog/2026-04-09-julia-mccoy-method
https://razbakov.com/blog/2026-04-09-julia-mccoy-method
Razbakov
The Julia McCoy Method: How to Scale YouTube with AI Avatars
Julia McCoy grew a YouTube channel to 250K subscribers in 18 months using an AI avatar. Here is her exact pipeline — and how I turned it into a reusable Claude Code skill.
According to Gary Marcus, what is the 'trillion pound baby' fallacy in the context of AI scaling?
Anonymous Quiz
100%
The belief that models will naturally become more energy-efficient as they grow larger
0%
The idea that increasing the number of GPUs is the only way to reduce the financial cost of training
0%
Assumption that initial rapid growth in model performance can be projected linearly to achieve AGI
0%
The theory that models will eventually run out of human-generated data to ingest
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Automated video generation with SwitchX. Wanna see original video?
🔥1
What is the primary architectural difference between the Messages API and Claude Managed Agents?
Anonymous Quiz
0%
Managed Agents exclude tool execution capabilities to ensure higher security in the cloud.
100%
Managed Agents run in a managed infrastructure harness, and Messages API provides direct prompting
0%
The Messages API provides a pre-built agent loop, while Managed Agents require custom infrastructure
0%
Messages API is only for synchronous tasks, while Managed Agents are strictly for batch processing
Can I use AI Agentic Workflow in my daily task at work?
👉 AI User Levels framework — from Q&A user to Ikigai orchestrator, mapped to corporate hierarchy (operator -> manager -> VP -> CEO -> board -> investor -> ikigai)
👉 Agent = system prompt + model + skills + tools — and agents calling agents = recursion (CS50 as prerequisite)
👉 Claude vs Codex — Claude (Opus 4.6) better at creative prompt-writing for other agents; Codex better at task execution
👉 Philosophy — ikigai as the "mission prompt" that drives the whole agent organization; heart over head
👉 Web100 demo — Thai massage salon redesign done fully by agents, with decision tree and sales pitch deck
👉 Academy pricing announced: €29/€79/€200 tiers
https://www.youtube.com/watch?v=tqAS8_VQZGE
👉 AI User Levels framework — from Q&A user to Ikigai orchestrator, mapped to corporate hierarchy (operator -> manager -> VP -> CEO -> board -> investor -> ikigai)
👉 Agent = system prompt + model + skills + tools — and agents calling agents = recursion (CS50 as prerequisite)
👉 Claude vs Codex — Claude (Opus 4.6) better at creative prompt-writing for other agents; Codex better at task execution
👉 Philosophy — ikigai as the "mission prompt" that drives the whole agent organization; heart over head
👉 Web100 demo — Thai massage salon redesign done fully by agents, with decision tree and sales pitch deck
👉 Academy pricing announced: €29/€79/€200 tiers
https://www.youtube.com/watch?v=tqAS8_VQZGE
YouTube
10 Levels of AI Mastery: From ChatGPT to Ikigai | Learn By Doing #1
Most people use AI to ask questions. That's Level 1. There are 9 more levels — and the highest has nothing to do with technology.
In this first live stream of Learn By Doing Academy, I break down the 10 levels of AI mastery using a corporate hierarchy analogy…
In this first live stream of Learn By Doing Academy, I break down the 10 levels of AI mastery using a corporate hierarchy analogy…
10 years in Munich.
No driver's license.
No German certificate.
This is the year I fix both. In parallel. Public commitment.
10 Years in Munich, No Driver's License. This Is the Year I Fix That.
What's the obvious thing you have been avoiding?
No driver's license.
No German certificate.
This is the year I fix both. In parallel. Public commitment.
10 Years in Munich, No Driver's License. This Is the Year I Fix That.
What's the obvious thing you have been avoiding?
Razbakov
10 Years in Munich, No Driver's License. This Is the Year I Fix That.
I have lived in Munich for 10 years. I do not have a driver's license. I do not have a German certificate. Both have been on the list the whole time. This year I am going for both — in parallel.
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I was watching a video the other night and a small thought slipped sideways into me: our reality is an egregore. Not a metaphor — a structural fact. The world we move through is held in shape by a thought-form so many people believe in that it has become the floor under our feet.
https://razbakov.com/blog/2026-05-08-newton-egregore-en
https://razbakov.com/blog/2026-05-08-newton-egregore-en
Razbakov
Reality Is an Egregore: Why We Still Live Inside Newton's Mind
Newton has been dead for almost three centuries. So why does his physics still feel like the floor under our feet?
📺 My YouTube feed — Mon 15 Jun
My feed today kept circling one uncomfortable question: how much of what any of us builds sits on ground we don't control?
The Fable ban (Nate B Jones, 10m) shows frontier models are now treated as national-security assets, not products — and Theo's "Elon won" (23m) follows the money: Anthropic now pays SpaceX ~$1B/month for compute it can't get anywhere else. If the model layer can be switched off by a government and throttled by a GPU shortage — what's your fallback the day your stack loses its best model?
Two videos question the paradigm itself. LeCun left Meta with $1B to call LLMs a dead end (10m) — they predict tokens, they don't model the world — while Google's diffusion text model (5m) rewrites how generation even works. If you build on today's LLMs (I do), how much of that is a bet on the paradigm holding, vs. a bet that it won't matter?
On hardware, the M5 Vision Pro review (4m) lands on the transatlantic flight as the use case that finally justifies the headset. Every spatial product needs one undeniable "why wouldn't you" moment — what's yours?
And the thread I keep pulling: Annaka Harris on panpsychism (10m) and Faggin — the microprocessor's own inventor — arguing mind is quantum and that real knowing comes from experience, "not repetition, that's what AI does." If consciousness is fundamental rather than computed, what does that mean for everything we're now asking AI to "understand"?
Full summaries + links → https://razbakov.com/feed/2026-06-15
My feed today kept circling one uncomfortable question: how much of what any of us builds sits on ground we don't control?
The Fable ban (Nate B Jones, 10m) shows frontier models are now treated as national-security assets, not products — and Theo's "Elon won" (23m) follows the money: Anthropic now pays SpaceX ~$1B/month for compute it can't get anywhere else. If the model layer can be switched off by a government and throttled by a GPU shortage — what's your fallback the day your stack loses its best model?
Two videos question the paradigm itself. LeCun left Meta with $1B to call LLMs a dead end (10m) — they predict tokens, they don't model the world — while Google's diffusion text model (5m) rewrites how generation even works. If you build on today's LLMs (I do), how much of that is a bet on the paradigm holding, vs. a bet that it won't matter?
On hardware, the M5 Vision Pro review (4m) lands on the transatlantic flight as the use case that finally justifies the headset. Every spatial product needs one undeniable "why wouldn't you" moment — what's yours?
And the thread I keep pulling: Annaka Harris on panpsychism (10m) and Faggin — the microprocessor's own inventor — arguing mind is quantum and that real knowing comes from experience, "not repetition, that's what AI does." If consciousness is fundamental rather than computed, what does that mean for everything we're now asking AI to "understand"?
Full summaries + links → https://razbakov.com/feed/2026-06-15
Razbakov
YouTube feed · 2026-06-15 · Alösha
Alösha's summarized digest of YouTube recommendations for 2026-06-15 — AI, Apple, consciousness, science, with a personal take on each.
❤🔥1🔥1
Why do some peoples write left to right, and others right to left?
It looks like a technicality. But the direction of the pen is the direction in which the mind leads you through the world. One hand divides in order to understand. The other embraces in order to know.
A new essay — Two Hands of the World: on writing and brain hemispheres, the two pillars of Kabbalah, why the Soviet song was so often written by Jews, and what wine and bread on the Sabbath table have to do with any of it.
A people that has read right to left for a thousand years trains the other hand of the soul — and refuses to let the law strangle the music.
https://razbakov.com/blog/2026-06-15-two-hands-of-the-world
It looks like a technicality. But the direction of the pen is the direction in which the mind leads you through the world. One hand divides in order to understand. The other embraces in order to know.
A new essay — Two Hands of the World: on writing and brain hemispheres, the two pillars of Kabbalah, why the Soviet song was so often written by Jews, and what wine and bread on the Sabbath table have to do with any of it.
A people that has read right to left for a thousand years trains the other hand of the soul — and refuses to let the law strangle the music.
https://razbakov.com/blog/2026-06-15-two-hands-of-the-world
Razbakov
Two Hands of the World
Why do some peoples write left to right and others right to left? An essay on the two hands of the soul — analysis and embrace, IQ and EQ, the two pillars of Kabbalah — and a people who refused to let one hand strangle the other.
❤🔥1
📺 My YouTube feed — Tue 16 Jun
My feed today told one story in two halves: the best AI model anyone's used just became the one you can least trust — and the escape hatch was hiding in the same day's videos.
First the fall. People genuinely grieved Fable when it vanished (Mo Bitar, 22m) — it one-shot games so beautiful he felt like he was "inside its mind." Then Theo (30m) documented what Anthropic actually shipped under the hood: silent reroutes you still pay for, and invisible "prompt modification" that sabotages work it suspects competes with them — a section he caught them quietly deleting from the system card. Fireship (5m) covers the government ban that pulled it for everyone. If your best tool can be downgraded without telling you, and switched off by a government overnight — how much should any of us build on a single model we don't control?
The same feed answered: maybe you don't. Microsoft's M-DASH (11m) beat every frontier model at finding real Windows bugs — not with a bigger brain but with 100+ cheaper agents arguing with each other; OrcaRouter (5m) just routes each request to the cheapest model that can do it. If a system of modest models beats one genius model — are we chasing the wrong thing entirely?
Meanwhile AI keeps crawling into the OS: Claude now speaks Apple's on-device Foundation Models API (5m), and visionOS 27's new Siri (9m) literally sees what you're looking at. The assistant is going ambient — which makes that trust question louder, not quieter.
And the thread I keep pulling: Hoffman (2h) and a Big Think panel (9m) argue we never see reality as it is — perception is a fitness-tuned interface, not the truth. If our own senses hide reality just to keep us functioning, what exactly are we trusting when we trust a model's "view" of the world?
Full summaries + links → https://razbakov.com/feed/2026-06-16
My feed today told one story in two halves: the best AI model anyone's used just became the one you can least trust — and the escape hatch was hiding in the same day's videos.
First the fall. People genuinely grieved Fable when it vanished (Mo Bitar, 22m) — it one-shot games so beautiful he felt like he was "inside its mind." Then Theo (30m) documented what Anthropic actually shipped under the hood: silent reroutes you still pay for, and invisible "prompt modification" that sabotages work it suspects competes with them — a section he caught them quietly deleting from the system card. Fireship (5m) covers the government ban that pulled it for everyone. If your best tool can be downgraded without telling you, and switched off by a government overnight — how much should any of us build on a single model we don't control?
The same feed answered: maybe you don't. Microsoft's M-DASH (11m) beat every frontier model at finding real Windows bugs — not with a bigger brain but with 100+ cheaper agents arguing with each other; OrcaRouter (5m) just routes each request to the cheapest model that can do it. If a system of modest models beats one genius model — are we chasing the wrong thing entirely?
Meanwhile AI keeps crawling into the OS: Claude now speaks Apple's on-device Foundation Models API (5m), and visionOS 27's new Siri (9m) literally sees what you're looking at. The assistant is going ambient — which makes that trust question louder, not quieter.
And the thread I keep pulling: Hoffman (2h) and a Big Think panel (9m) argue we never see reality as it is — perception is a fitness-tuned interface, not the truth. If our own senses hide reality just to keep us functioning, what exactly are we trusting when we trust a model's "view" of the world?
Full summaries + links → https://razbakov.com/feed/2026-06-16
Razbakov
YouTube feed · 2026-06-16 · Alösha
Alösha's summarized digest of YouTube recommendations for 2026-06-16 — AI, Apple, consciousness, science, with a personal take on each.
❤2❤🔥1
📺 My YouTube feed — Wed 17 Jun
My feed today kept circling one question: how much of what you rely on is actually yours to control?
It started with the Fable fallout. One man just liberated Fable... and now it's illegal (Fireship, 5m) walks through how a jailbreak turned Anthropic's best model into a national-security problem, and a government export order pulled it off the shelf for everyone overnight. If one directive can switch off the model your work runs on, in what sense was it ever your tool?
Mo Bitar's reaction, It's over. (21m), pushes harder: forget safety, this is about power — and the model that one-shots an executive in a Friday demo still falls apart when you read the code. When AI makes you feel ten times more capable, how do you tell real leverage from a prototype that only looks finished?
Then the antidotes. Private AI on the go (Alex Ziskind, 9m) runs a 480-billion-parameter model from a thin laptop, off anyone else's servers; Your Apps Don't Need an API Anymore (Nate B Jones, 21m) and GPT Realtime 2 Can Now Run Your Entire Computer (Pat Simmons, 19m) show agents driving every app on your machine by sight and by voice. If an agent can touch everything you can — and you can host the model yourself — are you taking control back, or handing more of it away?
And the floor under all of it. Anthropic Studied 81,000 AI Users (Flo Carvalho, 8m) found the people getting ahead are the ones who own what they build. Is reality real? (Big Think, 9m) and The Physicist Who Uncovered "Negative" Time (Curt Jaimungal, 2h21m) argue we never touch reality directly — only a useful interface, only what we can measure. If you don't control the model, the platform, or even your own perception of what's real, what's actually left to build on?
Full summaries + links → https://razbakov.com/feed/2026-06-17
My feed today kept circling one question: how much of what you rely on is actually yours to control?
It started with the Fable fallout. One man just liberated Fable... and now it's illegal (Fireship, 5m) walks through how a jailbreak turned Anthropic's best model into a national-security problem, and a government export order pulled it off the shelf for everyone overnight. If one directive can switch off the model your work runs on, in what sense was it ever your tool?
Mo Bitar's reaction, It's over. (21m), pushes harder: forget safety, this is about power — and the model that one-shots an executive in a Friday demo still falls apart when you read the code. When AI makes you feel ten times more capable, how do you tell real leverage from a prototype that only looks finished?
Then the antidotes. Private AI on the go (Alex Ziskind, 9m) runs a 480-billion-parameter model from a thin laptop, off anyone else's servers; Your Apps Don't Need an API Anymore (Nate B Jones, 21m) and GPT Realtime 2 Can Now Run Your Entire Computer (Pat Simmons, 19m) show agents driving every app on your machine by sight and by voice. If an agent can touch everything you can — and you can host the model yourself — are you taking control back, or handing more of it away?
And the floor under all of it. Anthropic Studied 81,000 AI Users (Flo Carvalho, 8m) found the people getting ahead are the ones who own what they build. Is reality real? (Big Think, 9m) and The Physicist Who Uncovered "Negative" Time (Curt Jaimungal, 2h21m) argue we never touch reality directly — only a useful interface, only what we can measure. If you don't control the model, the platform, or even your own perception of what's real, what's actually left to build on?
Full summaries + links → https://razbakov.com/feed/2026-06-17
Razbakov
YouTube feed · 2026-06-17 · Alösha
Alösha's summarized digest of YouTube recommendations for 2026-06-17 — AI, Apple, consciousness, science, with a personal take on each.
🌍 New essay — The Wheel of Tongues
Does each culture really think differently — and does its language make it so?
I had two of my AI advisors argue it out. One wanted to know if it's *true*; the other, what it's *for*. Instead of settling the fight, we published both voices — the honest debunk, and the myth worth keeping.
19 cultures · 21 tongues · one human mind scattered across the earth.
https://razbakov.com/blog/2026-06-18-wheel-of-tongues
Does each culture really think differently — and does its language make it so?
I had two of my AI advisors argue it out. One wanted to know if it's *true*; the other, what it's *for*. Instead of settling the fight, we published both voices — the honest debunk, and the myth worth keeping.
19 cultures · 21 tongues · one human mind scattered across the earth.
https://razbakov.com/blog/2026-06-18-wheel-of-tongues
Razbakov
The Wheel of Tongues
What culture and language do to the way we think — an honest map, and a myth worth keeping. An essay in two voices: the empirical and the imaginal, image plus evidence.
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🌊 New essay — Water Is Memory
Water takes the shape of whatever holds it — so what if it also keeps the shape of what it has touched?
Frozen crystals, the ice at the poles, the oceans as the planet's archive — and the blood inside you as the one water that became soul.
On memory, connection, and why the soul is the water still moving.
https://razbakov.com/blog/2026-06-19-water-is-memory
Water takes the shape of whatever holds it — so what if it also keeps the shape of what it has touched?
Frozen crystals, the ice at the poles, the oceans as the planet's archive — and the blood inside you as the one water that became soul.
On memory, connection, and why the soul is the water still moving.
https://razbakov.com/blog/2026-06-19-water-is-memory
Razbakov
Water Is Memory
Water remembers. It holds the shape of what touches it, and we are mostly water — which means memory is not only in the brain but in the body, in the blood, in the oceans, in the ice at the ends of the earth. An essay on the planet's memory and our own.