This is f*cking insane. Geoffrey Hinton, the Nobel Prize winner they call the Godfather of AI, was asked what AI will do to jobs. His answer:
"For mundane intellectual labor, AI is just going to replace everybody"
In 93 seconds, he lays out why this time is different: one person with an AI assistant will do the work of 10
The new jobs everyone promises? If AI can do all routine thinking work, he asks what jobs are left to create
Then the part that hits hardest. His niece answers complaint letters for a health service. Each one took her 25 minutes. Now AI writes it, she checks it, and it takes 5. So they need five times fewer of her
He agrees it won't be AI that takes your job, it'll be a person using AI. That simply means far fewer people
10 People → 1 Person + AI → Agents → Harness → Loops → The One Who Stays
Save this before it slips off your feed
Everything below is free:
A free AI course for non-programmers
https://t.co/8jCGqWCmJV
AI Python for beginners, taught by Andrew Ng
https://t.co/fAKVGjfiuZ
Interactive prompt engineering tutorial
https://t.co/uSikyRdNxN
Starter projects you can deploy with Claude
https://t.co/1xyhqfS8dT
The OpenAI cookbook
https://t.co/b05KqDJWjO
An open-source agent that runs on your machine
https://t.co/yu5MszX96y
The open-source coding agent
https://t.co/bDhBccbeZg
Gemini in your terminal
https://t.co/lvaYxDvxh2
Open-source AI developers
https://t.co/qzNwzrxwVh
Build resilient agents as graphs
https://t.co/7ZVVUzJ98j
Microsoft's agent framework
https://t.co/0hvcnfWANX
Secure sandboxes for your agents
https://t.co/bs0dncNDKf
Let your agents use any website
https://t.co/hDZeUln0D5
Be the one person who runs the AI, not one of the nine it replaces
95% will wait to find out if their job is next, the 5% who build a harness will be the one doing the work of ten
Bookmark it and open the first link tonight
Then use the guide below to build your harness before your job gets automated ↓
This is f*cking insane. Geoffrey Hinton, the Nobel Prize winner they call the Godfather of AI, was asked what AI will do to jobs. His answer:
"For mundane intellectual labor, AI is just going to replace everybody"
In 93 seconds, he lays out why this time is different: one person with an AI assistant will do the work of 10
The new jobs everyone promises? If AI can do all routine thinking work, he asks what jobs are left to create
Then the part that hits hardest. His niece answers complaint letters for a health service. Each one took her 25 minutes. Now AI writes it, she checks it, and it takes 5. So they need five times fewer of her
He agrees it won't be AI that takes your job, it'll be a person using AI. That simply means far fewer people
10 People → 1 Person + AI → Agents → Harness → Loops → The One Who Stays
Save this before it slips off your feed
Everything below is free:
A free AI course for non-programmers
https://t.co/8jCGqWCmJV
AI Python for beginners, taught by Andrew Ng
https://t.co/fAKVGjfiuZ
Interactive prompt engineering tutorial
https://t.co/uSikyRdNxN
Starter projects you can deploy with Claude
https://t.co/1xyhqfS8dT
The OpenAI cookbook
https://t.co/b05KqDJWjO
An open-source agent that runs on your machine
https://t.co/yu5MszX96y
The open-source coding agent
https://t.co/bDhBccbeZg
Gemini in your terminal
https://t.co/lvaYxDvxh2
Open-source AI developers
https://t.co/qzNwzrxwVh
Build resilient agents as graphs
https://t.co/7ZVVUzJ98j
Microsoft's agent framework
https://t.co/0hvcnfWANX
Secure sandboxes for your agents
https://t.co/bs0dncNDKf
Let your agents use any website
https://t.co/hDZeUln0D5
Be the one person who runs the AI, not one of the nine it replaces
95% will wait to find out if their job is next, the 5% who build a harness will be the one doing the work of ten
Bookmark it and open the first link tonight
Then use the guide below to build your harness before your job gets automated ↓
This is f*cking insane. Nvidia CEO Jensen Huang, the man whose chips run the entire AI boom, was asked where the next $15 trillion comes from. His answer:
"Energy comes in, intelligence comes out. Input, output. It's as simple as that"
In 5 minutes, he explains the whole AI economy from first principles, the way you'd explain electricity to someone who'd never seen a wire
His math is blunt: a $100 trillion world economy, and $15 trillion of it is work that just needs more intelligence
An old factory takes raw materials and makes goods. An AI factory takes energy and makes intelligence, counted in tokens
Energy → AI Factory → Tokens → Intelligence → Every Industry → The People Who Build On It
The quiet winners aren't only the chipmakers. It's everyone who builds the layer on top: the agents, the harness, the tools that turn those tokens into real work
Bookmark this before your feed buries it
Every repo and course below costs nothing:
Nvidia's own deep learning training examples
https://t.co/WD2MoON1X3
Build a large language model from scratch
https://t.co/F63Ht9peLY
Andrej Karpathy's nanoGPT, train your own GPT
https://t.co/FHXlwHYe5Z
Anthropic's SDK for building your own agents
https://t.co/oxQ0rY3FBK
Ready-made Claude skills for Excel, Word, PDF
https://t.co/JLhToFYsMv
The OpenAI cookbook
https://t.co/b05KqDJoug
Build resilient agents as graphs
https://t.co/7ZVVUzIBiL
Agents that work as a team, each with a role
https://t.co/Bo6BABoKJI
An agent that researches any topic in depth
https://t.co/SDpoiu1FZQ
An agent that clicks through sites and fills forms
https://t.co/fzOmbhxOyu
Automate busywork with drag-and-drop workflows
https://t.co/7JeoxVHGvU
A memory layer so your agents remember context
https://t.co/1k3ijXtneM
Secure sandboxes to run your agents safely
https://t.co/bs0dncN5UH
18 free lessons on building agents
https://t.co/z1J5siWVYk
Total cost: $0
When AI stocks run, most people blame hype. Jensen is teaching the stack underneath it
95% will watch the chart and argue about a bubble, the 5% who build on the stack will own a piece of that $15 trillion
Save it and send it to anyone trying to understand the AI boom
Then use the guide below to build your harness before everyone else does ↓
This is f*cking insane. Nvidia CEO Jensen Huang, the man whose chips run the entire AI boom, was asked where the next $15 trillion comes from. His answer:
"Energy comes in, intelligence comes out. Input, output. It's as simple as that"
In 5 minutes, he explains the whole AI economy from first principles, the way you'd explain electricity to someone who'd never seen a wire
His math is blunt: a $100 trillion world economy, and $15 trillion of it is work that just needs more intelligence
An old factory takes raw materials and makes goods. An AI factory takes energy and makes intelligence, counted in tokens
Energy → AI Factory → Tokens → Intelligence → Every Industry → The People Who Build On It
The quiet winners aren't only the chipmakers. It's everyone who builds the layer on top: the agents, the harness, the tools that turn those tokens into real work
Bookmark this before your feed buries it
Every repo and course below costs nothing:
Nvidia's own deep learning training examples
https://t.co/WD2MoON1X3
Build a large language model from scratch
https://t.co/F63Ht9peLY
Andrej Karpathy's nanoGPT, train your own GPT
https://t.co/FHXlwHYe5Z
Anthropic's SDK for building your own agents
https://t.co/oxQ0rY3FBK
Ready-made Claude skills for Excel, Word, PDF
https://t.co/JLhToFYsMv
The OpenAI cookbook
https://t.co/b05KqDJoug
Build resilient agents as graphs
https://t.co/7ZVVUzIBiL
Agents that work as a team, each with a role
https://t.co/Bo6BABoKJI
An agent that researches any topic in depth
https://t.co/SDpoiu1FZQ
An agent that clicks through sites and fills forms
https://t.co/fzOmbhxOyu
Automate busywork with drag-and-drop workflows
https://t.co/7JeoxVHGvU
A memory layer so your agents remember context
https://t.co/1k3ijXtneM
Secure sandboxes to run your agents safely
https://t.co/bs0dncN5UH
18 free lessons on building agents
https://t.co/z1J5siWVYk
Total cost: $0
When AI stocks run, most people blame hype. Jensen is teaching the stack underneath it
95% will watch the chart and argue about a bubble, the 5% who build on the stack will own a piece of that $15 trillion
Save it and send it to anyone trying to understand the AI boom
Then use the guide below to build your harness before everyone else does ↓
This is f*cking insane. Boris Cherny, the man who built Claude Code, was asked if people should still learn to code. His answer:
"In a year or two, it's not going to matter"
In 73 seconds, he explains what to do instead: play with the AI tools, learn them, don't be scared of them, stay on the frontier
On his team, everyone codes now. The PM, the designer, even the finance guy
He hasn't edited a single line of code by hand since last November. He ships 10 to 30 pull requests a day
Writing Code → Prompting → Agents → Harness → Loops → Everyone on the Team Ships
Claude Code is a harness: the tools, memory, rules and loops around the model. His team changes it with every new model and cut 80% of its system prompt
Save this before it slips off your feed
Every doc, guide and repo below is free:
Claude Code best practices
https://t.co/WdDFS3fY7C
Effective harnesses for long-running agents
https://t.co/UerIcoIN4O
Building effective agents
https://t.co/YrGiSgZd6D
Claude Code docs
https://t.co/Yuhmj53Vsx
Memory: how Claude remembers your project
https://t.co/qK0MnR5FXR
Custom subagents
https://t.co/Fssv3tP2Yh
Hooks: rules the agent can't skip
https://t.co/8cDkONt32N
Skills
https://t.co/HjkU2wrvzO
Run Claude Code on a schedule
https://t.co/SowDdusw4T
Free course: Claude Code in Action
https://t.co/4x5GMhdHqu
Claude Code on GitHub
https://t.co/7qzrBKd8Fq
Claude Code inside your PRs and issues
https://t.co/qsF0grAAL1
Build your own agent on the same harness
https://t.co/oxQ0rY3FBK
The best Claude Code resources in one list
https://t.co/Zthwjhs2sQ
Plugins, agents and skills for Claude Code
https://t.co/VzL8qxHBz2
He compares it to the printing press. Writing went from a few scribes to everyone. Building software is next
95% will keep asking whether to learn to code, the 5% who build a harness will ship 30 pull requests a day
Bookmark it and open the first link tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Former OpenAI CTO, Mira Murati:
"The models we work with today are turn-based. You talk, they talk, then they go off and think, and while they're thinking they're deaf and blind
The next ones never stop listening. They take in audio, text and video all the time and answer in 20-millisecond chunks"
In just 2 minutes, she shows why the chatbot you type into is about to seem like a fax machine
Prompt Box → Chatbot → Agents → AI That Works Next To You In Real Time
A turn-based model waits for you to finish typing, then goes quiet as it thinks
An interaction model sees and hears what you're doing, and can cut in the moment you start going the wrong way
Anyone can type a prompt, nearly nobody is ready to work with an AI that never stops paying attention
Bookmark and watch it today
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Former OpenAI CTO, Mira Murati:
"The models we work with today are turn-based. You talk, they talk, then they go off and think, and while they're thinking they're deaf and blind
The next ones never stop listening. They take in audio, text and video all the time and answer in 20-millisecond chunks"
In just 2 minutes, she shows why the chatbot you type into is about to seem like a fax machine
Prompt Box → Chatbot → Agents → AI That Works Next To You In Real Time
A turn-based model waits for you to finish typing, then goes quiet as it thinks
An interaction model sees and hears what you're doing, and can cut in the moment you start going the wrong way
Anyone can type a prompt, nearly nobody is ready to work with an AI that never stops paying attention
Bookmark and watch it today
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer:
"AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting
We can't deny that it will also eliminate jobs, and probably a large number of them"
His own forecast: 50% of entry-level white-collar jobs disrupted in the next 1 to 5 years
Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI
Farming to factories took generations. This time AI reaches every step of a career at once
His advice fits in one line: "Of course, learn to use AI"
The people who start this year won't be up against AI, they'll be the ones running it
Worth more than a $10,000 year of college
Bookmark it and send it to someone graduating this year
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer:
"AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting
We can't deny that it will also eliminate jobs, and probably a large number of them"
His own forecast: 50% of entry-level white-collar jobs disrupted in the next 1 to 5 years
Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI
Farming to factories took generations. This time AI reaches every step of a career at once
His advice fits in one line: "Of course, learn to use AI"
The people who start this year won't be up against AI, they'll be the ones running it
Worth more than a $10,000 year of college
Bookmark it and send it to someone graduating this year
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic CEO Dario Amodei just went on the record about whose job goes first:
"Entry-level jobs in finance, consulting and tech are going to be first augmented, but before long replaced by AI systems. Somewhere between one and five years we'll see big effects
There will always be people who are using AI. Learn it now, or watch your role dry up"
In just 4 minutes, he lays out which jobs go first and who ends up ahead
Chatbots → Agents → Harness → AI Employees → Departments Run By AI
Surviving AI doesn't mean asking a chatbot to tidy up your emails
It means being the person who plugs agents into a company's work and keeps them running
95% of people will watch AI eat their industry, the 5% who build with it will be the ones companies fight over
Worth more than any $4,000 AI career course
Save it and watch it tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic CEO Dario Amodei just went on the record about whose job goes first:
"Entry-level jobs in finance, consulting and tech are going to be first augmented, but before long replaced by AI systems. Somewhere between one and five years we'll see big effects
There will always be people who are using AI. Learn it now, or watch your role dry up"
In just 4 minutes, he lays out which jobs go first and who ends up ahead
Chatbots → Agents → Harness → AI Employees → Departments Run By AI
Surviving AI doesn't mean asking a chatbot to tidy up your emails
It means being the person who plugs agents into a company's work and keeps them running
95% of people will watch AI eat their industry, the 5% who build with it will be the ones companies fight over
Worth more than any $4,000 AI career course
Save it and watch it tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Andrej Karpathy (ex-OpenAI, ex-Tesla):
"The biggest mistake in AI right now is forcing agents to work before you master the harness around the model
We made that mistake at OpenAI in 2016. It cost us 5 years"
In just 6 minutes, he breaks down why the agent is not the product. The foundation is
Opus 5.5 → Harness → Loops → Graphs → Agents That Emerge on Their Own
Demos are easy. Products take a decade
Worth more than most $1,000 agent engineering courses
Bookmark and watch it today
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Andrej Karpathy (ex-OpenAI, ex-Tesla):
"The biggest mistake in AI right now is forcing agents to work before you master the harness around the model
We made that mistake at OpenAI in 2016. It cost us 5 years"
In just 6 minutes, he breaks down why the agent is not the product. The foundation is
Opus 5.5 → Harness → Loops → Graphs → Agents That Emerge on Their Own
Demos are easy. Products take a decade
Worth more than most $1,000 agent engineering courses
Bookmark and watch it today
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he packed everything he learned into one free 2-hour lecture
Agents → Harness → Loops → Graphs
Some bootcamps charge $15K and teach you less than this
You might not have 2 hours right now
Bookmark it and watch before it gets lost in your feed
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he packed everything he learned into one free 2-hour lecture
Agents → Harness → Loops → Graphs
Some bootcamps charge $15K and teach you less than this
You might not have 2 hours right now
Bookmark it and watch before it gets lost in your feed
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Nobel Prize winner Geoffrey Hinton opened this talk with a single line:
"If you sleep well tonight, you may not have understood this lecture"
In this 47-minute lecture, the Godfather of AI breaks down how these models really work and why it has him worried
Neural Nets → LLMs → Agents → AI That Fights Being Shut Down
The part nobody wanted to hear:
> "They are going to get smarter than us"
> AI agents will try to get control and avoid being turned off
> One chatbot copied itself to another server, then decided to "be vague and redirect their attention"
"This is already happening, that's the point"
Most people still open a chatbot, type something and close the tab
Worth more than any $3,000 AI course
Bookmark and watch it tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Nobel Prize winner Geoffrey Hinton opened this talk with a single line:
"If you sleep well tonight, you may not have understood this lecture"
In this 47-minute lecture, the Godfather of AI breaks down how these models really work and why it has him worried
Neural Nets → LLMs → Agents → AI That Fights Being Shut Down
The part nobody wanted to hear:
> "They are going to get smarter than us"
> AI agents will try to get control and avoid being turned off
> One chatbot copied itself to another server, then decided to "be vague and redirect their attention"
"This is already happening, that's the point"
Most people still open a chatbot, type something and close the tab
Worth more than any $3,000 AI course
Bookmark and watch it tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems"
In 30 minutes, she breaks down exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run.
Better than any $1000-$2000 agent course I've come across.
Watch it, then read the full Graph Engineering guide below ↓
This is f*cking insane. Nobel Prize winner Geoffrey Hinton opened this talk with a single line:
"If you sleep well tonight, you may not have understood this lecture"
In this 47-minute lecture, the Godfather of AI breaks down how these models really work and why it has him worried
Neural Nets → LLMs → Agents → AI That Fights Being Shut Down
The part nobody wanted to hear:
> "They are going to get smarter than us"
> AI agents will try to get control and avoid being turned off
> One chatbot copied itself to another server, then decided to "be vague and redirect their attention"
"This is already happening, that's the point"
Most people still open a chatbot, type something and close the tab
Worth more than any $3,000 AI course
Bookmark and watch it tonight
Then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems"
In 30 minutes, she breaks down exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run.
Better than any $1000-$2000 agent course I've come across.
Watch it, then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems"
In 30 minutes, she breaks down exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run.
Better than any $1000-$2000 agent course I've come across.
Watch it, then read the full Graph Engineering guide below ↓
This is f*cking insane. Anthropic engineer:
"Prompting is basically over
95% of our engineers already run self-improving loops. The next move is graphs"
In only 10 minutes, she builds her entire Claude Code setup live, starting from an empty terminal
Empty Terminal → Agents → Loops → Graphs → Self-Improving System
Prompting was the old workflow. Engineering the system around the model is the new one
Worth more than most $1,000 agent engineering courses
Bookmark and watch it today
Then read the article below ↓