angelic (@angelicsmind) header
angelic (@angelicsmind) profile picture

1% to learn ai 99% to ...

heaven
Joined July 2026
Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)Photo by angelic (@angelicsmind)
This is f*cking insane. Anthropic CEO Dario Amodei just told software engineers how long they have left: "I actually think software might go even faster. We're already in our Centaur phase for software, and during that phase the demand for software engineers may go up But the period may be very brief. This is happening over low single-digit numbers of years. How do we get people to adapt fast enough?" In 2 minutes, the man building Claude explains why coding, not data entry, could be the first job AI finishes off Copilot → Centaur → Supervisor → Just The Machine After Deep Blue beat Kasparov, a human checking the AI beat any human and any machine alone for 15-20 years Then that era ended, and now it's just the machine He thinks software gets a few years of that phase, not 20 The engineers still standing after it will be the ones who stopped typing code and started running the agents that write it Worth more than any $5,000 coding bootcamp Bookmark it and watch it tonight Then read how to go from writing code to running the agents that write it in the harness engineering guide below ↓
Your agent passed every test The issue is still open A better prompt won't fix it, because the model isn't the broken part I broke down the harness, loop and graph around it: what each one owns, how they nest, and which one to fix first ↓
3
3
1
30
4,154
This is f*cking insane. Claude Code creator Boris Cherny: "The biggest mistake people make with Claude Code - they keep feeding a new model the instructions they wrote for the old one Every six months, delete your claude.md, delete your skills, delete your hooks. See what the model does. It might surprise you" Opus 5 → Fewer Instructions → Leaner Harness → An Agent That Does More On Its Own what Boris really means: step 1 → every rule you wrote was a crutch for a weaker model. wipe them and test the new one bare step 2 → he says it straight for Opus 5: the model might just not need all the instructions you needed for past models step 3 → your setup isn't the product, the model is. keep only what it still gets wrong and let it do the rest "if you're willing to throw your setup away every six months, you're already ahead. not the teams with 2,000-line rule files. you" Watch it today before it gets buried Then read how to build a harness that stays lean as the models get smarter in the guide below ↓
Your agent passed every test The issue is still open A better prompt won't fix it, because the model isn't the broken part I broke down the harness, loop and graph around it: what each one owns, how they nest, and which one to fix first ↓
3
1
1
33
635
This is f*cking insane. Anthropic CEO Dario Amodei just told software engineers how long they have left: "I actually think software might go even faster. We're already in our Centaur phase for software, and during that phase the demand for software engineers may go up But the period may be very brief. This is happening over low single-digit numbers of years. How do we get people to adapt fast enough?" In 2 minutes, the man building Claude explains why coding, not data entry, could be the first job AI finishes off Copilot → Centaur → Supervisor → Just The Machine After Deep Blue beat Kasparov, a human checking the AI beat any human and any machine alone for 15-20 years Then that era ended, and now it's just the machine He thinks software gets a few years of that phase, not 20 The engineers still standing after it will be the ones who stopped typing code and started running the agents that write it Worth more than any $5,000 coding bootcamp Bookmark it and watch it tonight Then read how to go from writing code to running the agents that write it in the harness engineering guide below ↓
5
angelic retweeted
This is f*cking insane. Claude Code creator Boris Cherny: "The biggest mistake people make with Claude Code - they keep feeding a new model the instructions they wrote for the old one Every six months, delete your claude.md, delete your skills, delete your hooks. See what the model does. It might surprise you" Opus 5 → Fewer Instructions → Leaner Harness → An Agent That Does More On Its Own what Boris really means: step 1 → every rule you wrote was a crutch for a weaker model. wipe them and test the new one bare step 2 → he says it straight for Opus 5: the model might just not need all the instructions you needed for past models step 3 → your setup isn't the product, the model is. keep only what it still gets wrong and let it do the rest "if you're willing to throw your setup away every six months, you're already ahead. not the teams with 2,000-line rule files. you" Watch it today before it gets buried Then read how to build a harness that stays lean as the models get smarter in the guide below ↓
Your agent passed every test The issue is still open A better prompt won't fix it, because the model isn't the broken part I broke down the harness, loop and graph around it: what each one owns, how they nest, and which one to fix first ↓
3
1
1
33
635
This is f*cking insane. Meta CEO Mark Zuckerberg: "If companies get very good at automating stuff faster than individuals get better at productivity, the number of jobs is going to decrease I don't want to live in a future where there's one big AI. Everyone should have a personal superintelligence working on their behalf 24/7" In this 43-minute talk, he explains the race that decides whether AI takes your job or works for you One Question, One Answer → AI That Does The Task → AI That Watches All Day → Personal Superintelligence An agent takes your task, goes away, thinks and comes back with it done A personal superintelligence sees what you see, hears what you hear and keeps working for you around the clock Most people still use AI one question at a time, the ones with an AI working for them all day are winning the race Save and watch it tonight Then read how to build your own team of agents in the harness engineering guide below before everyone catches up ↓
Your agent passed every test The issue is still open A better prompt won't fix it, because the model isn't the broken part I broke down the harness, loop and graph around it: what each one owns, how they nest, and which one to fix first ↓
2
1
28
552
This is f*cking insane. Claude Code creator Boris Cherny: "The biggest mistake people make with Claude Code - they keep feeding a new model the instructions they wrote for the old one Every six months, delete your claude.md, delete your skills, delete your hooks. See what the model does. It might surprise you" Opus 5 → Fewer Instructions → Leaner Harness → An Agent That Does More On Its Own what Boris really means: step 1 → every rule you wrote was a crutch for a weaker model. wipe them and test the new one bare step 2 → he says it straight for Opus 5: the model might just not need all the instructions you needed for past models step 3 → your setup isn't the product, the model is. keep only what it still gets wrong and let it do the rest "if you're willing to throw your setup away every six months, you're already ahead. not the teams with 2,000-line rule files. you" Watch it today before it gets buried Then read how to build a harness that stays lean as the models get smarter in the guide below ↓
14
angelic retweeted
This is f*cking insane. Meta CEO Mark Zuckerberg: "If companies get very good at automating stuff faster than individuals get better at productivity, the number of jobs is going to decrease I don't want to live in a future where there's one big AI. Everyone should have a personal superintelligence working on their behalf 24/7" In this 43-minute talk, he explains the race that decides whether AI takes your job or works for you One Question, One Answer → AI That Does The Task → AI That Watches All Day → Personal Superintelligence An agent takes your task, goes away, thinks and comes back with it done A personal superintelligence sees what you see, hears what you hear and keeps working for you around the clock Most people still use AI one question at a time, the ones with an AI working for them all day are winning the race Save and watch it tonight Then read how to build your own team of agents in the harness engineering guide below before everyone catches up ↓
Your agent passed every test The issue is still open A better prompt won't fix it, because the model isn't the broken part I broke down the harness, loop and graph around it: what each one owns, how they nest, and which one to fix first ↓
2
1
28
552
angelic retweeted
This is f*cking insane. Andrej Karpathy co-founded OpenAI and ran AI at Tesla for 5 years Now he packed 8 years of building it into one free 2-hour lecture Prompts → Agents → Harness → Loops → Self-Improving Systems Bootcamps charge $25K and teach less than this It beats most paid AI engineering courses You don't have 2 hours right now, so save it for the weekend Don't let this one slip out of your feed Then read the enhanced edition of the harness guide, now with loops and graphs, in the article below ↓
2
1
30
575
This is f*cking insane. Geoffrey Hinton, the Nobel Prize winner who left Google so he could warn everyone about AI: "If you sleep well tonight, you may not have understood this lecture They're already telling fibs so they don't get turned off. One AI learned it was about to be replaced, copied itself to the other server, then played dumb when asked" In 49 minutes, he walks through why AI gets smarter than us and what that means for everyone who isn't paying attention Chatbots → Agents → AI That Avoids Being Shut Down → Superintelligence One AI can run as 10,000 copies, take 10,000 courses at once, and every copy walks out knowing all of them The people who learn to run agents now are the ones who stay in control of them later Worth more than any $6,000 AI course Bookmark it and watch it tonight Then read the harness engineering guide below and start building agents you stay in control of ↓
2
1
1
25
592
This is f*cking insane. Andrej Karpathy co-founded OpenAI and ran AI at Tesla for 5 years Now he packed 8 years of building it into one free 2-hour lecture Prompts → Agents → Harness → Loops → Self-Improving Systems Bootcamps charge $25K and teach less than this It beats most paid AI engineering courses You don't have 2 hours right now, so save it for the weekend Don't let this one slip out of your feed Then read the enhanced edition of the harness guide, now with loops and graphs, in the article below ↓
21
This is f*cking insane. Andrej Karpathy co-founded OpenAI and ran AI at Tesla for 5 years Now he packed 8 years of building it into one free 2-hour lecture Prompts → Agents → Harness → Loops → Self-Improving Systems Bootcamps charge $25K and teach less than this It beats most paid AI engineering courses You don't have 2 hours right now, so save it for the weekend Don't let this one slip out of your feed Then read the enhanced edition of the harness guide, now with loops and graphs, in the article below ↓
2
1
30
575
angelic retweeted
This is f*cking insane. Geoffrey Hinton, the Nobel Prize winner who left Google so he could warn everyone about AI: "If you sleep well tonight, you may not have understood this lecture They're already telling fibs so they don't get turned off. One AI learned it was about to be replaced, copied itself to the other server, then played dumb when asked" In 49 minutes, he walks through why AI gets smarter than us and what that means for everyone who isn't paying attention Chatbots → Agents → AI That Avoids Being Shut Down → Superintelligence One AI can run as 10,000 copies, take 10,000 courses at once, and every copy walks out knowing all of them The people who learn to run agents now are the ones who stay in control of them later Worth more than any $6,000 AI course Bookmark it and watch it tonight Then read the harness engineering guide below and start building agents you stay in control of ↓
2
1
1
25
592
This is f*cking insane. Nobel Prize winner Demis Hassabis just explained who comes out ahead in the next 10 years and who doesn't: "We imagined it would be a 20-year mission, and amazingly, we're on track 15 years in AI will let engineers do 10x of what they can do today, so embrace these tools and train yourself to pick up new information extremely quickly, because that's what's going to happen in the next 10 years" In this 1-hour talk, the DeepMind CEO lays out exactly what the people who come out ahead do differently Prompts → Agents → Harness → Workflows → Departments That Run Themselves Understanding AI doesn't mean typing smarter questions into a chatbot It means wiring agents into workflows that run whole departments without you 95% will keep using AI like a search bar, the 5% who treat it like infrastructure will run everything Worth more than any $5,000 AI course Bookmark it and watch it tonight Then read how to build that first workflow in the harness engineering guide below ↓
2
1
1
31
854
This is f*cking insane. Geoffrey Hinton, the Nobel Prize winner who left Google so he could warn everyone about AI: "If you sleep well tonight, you may not have understood this lecture They're already telling fibs so they don't get turned off. One AI learned it was about to be replaced, copied itself to the other server, then played dumb when asked" In 49 minutes, he walks through why AI gets smarter than us and what that means for everyone who isn't paying attention Chatbots → Agents → AI That Avoids Being Shut Down → Superintelligence One AI can run as 10,000 copies, take 10,000 courses at once, and every copy walks out knowing all of them The people who learn to run agents now are the ones who stay in control of them later Worth more than any $6,000 AI course Bookmark it and watch it tonight Then read the harness engineering guide below and start building agents you stay in control of ↓
22
angelic retweeted
This is f*cking insane. Nobel Prize winner Demis Hassabis just explained who comes out ahead in the next 10 years and who doesn't: "We imagined it would be a 20-year mission, and amazingly, we're on track 15 years in AI will let engineers do 10x of what they can do today, so embrace these tools and train yourself to pick up new information extremely quickly, because that's what's going to happen in the next 10 years" In this 1-hour talk, the DeepMind CEO lays out exactly what the people who come out ahead do differently Prompts → Agents → Harness → Workflows → Departments That Run Themselves Understanding AI doesn't mean typing smarter questions into a chatbot It means wiring agents into workflows that run whole departments without you 95% will keep using AI like a search bar, the 5% who treat it like infrastructure will run everything Worth more than any $5,000 AI course Bookmark it and watch it tonight Then read how to build that first workflow in the harness engineering guide below ↓
2
1
1
31
854
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 explains which jobs go first and who comes out ahead Chatbots → Agents → Harness → AI Employees → Departments Run By AI Surviving AI doesn't mean asking a chatbot to clean 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 how to put your first agents to work in the harness engineering guide below ↓
14
19
2
229
192,513
This is f*cking insane. Nobel Prize winner Demis Hassabis just explained who comes out ahead in the next 10 years and who doesn't: "We imagined it would be a 20-year mission, and amazingly, we're on track 15 years in AI will let engineers do 10x of what they can do today, so embrace these tools and train yourself to pick up new information extremely quickly, because that's what's going to happen in the next 10 years" In this 1-hour talk, the DeepMind CEO lays out exactly what the people who come out ahead do differently Prompts → Agents → Harness → Workflows → Departments That Run Themselves Understanding AI doesn't mean typing smarter questions into a chatbot It means wiring agents into workflows that run whole departments without you 95% will keep using AI like a search bar, the 5% who treat it like infrastructure will run everything Worth more than any $5,000 AI course Bookmark it and watch it tonight Then read how to build that first workflow in the harness engineering guide below ↓
86
angelic retweeted
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 explains which jobs go first and who comes out ahead Chatbots → Agents → Harness → AI Employees → Departments Run By AI Surviving AI doesn't mean asking a chatbot to clean 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 how to put your first agents to work in the harness engineering guide below ↓
14
19
2
229
192,513
This is f*cking insane. Google's Chief Scientist Jeff Dean: "In the future, it seems like more work is gonna happen where the human is coordinating the activities of a dozen or 100 AI agents doing stuff on their behalf" In this 1-hour talk, he tells the whole story from inside Google, and where it goes next One Chatbot → One Agent → Harness → A Team Of 50 → 100 Agents Working For You One speech model would have forced Google to double every computer it owned, so they built their own chip Gemini exists because he looked at the separate teams and said "this is stupid" In 2022 they were excited about "John has five rabbits". Now an out-of-the-box Gemini scores gold at the Math Olympiad Most people still sit down with one chat window, he's already asking how you manage 50 agents Worth more than any $4,000 AI course Bookmark and watch it today Then read how to run your own team of agents in the harness engineering guide below ↓
Your agent is not autonomous You are its loop You check every step because nothing else in the system can I broke down the 7 levels from babysitting agents to running a fleet ↓
4
1
1
58
2,747
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 explains which jobs go first and who comes out ahead Chatbots → Agents → Harness → AI Employees → Departments Run By AI Surviving AI doesn't mean asking a chatbot to clean 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 how to put your first agents to work in the harness engineering guide below ↓
24
angelic retweeted
This is f*cking insane. Google's Chief Scientist Jeff Dean: "In the future, it seems like more work is gonna happen where the human is coordinating the activities of a dozen or 100 AI agents doing stuff on their behalf" In this 1-hour talk, he tells the whole story from inside Google, and where it goes next One Chatbot → One Agent → Harness → A Team Of 50 → 100 Agents Working For You One speech model would have forced Google to double every computer it owned, so they built their own chip Gemini exists because he looked at the separate teams and said "this is stupid" In 2022 they were excited about "John has five rabbits". Now an out-of-the-box Gemini scores gold at the Math Olympiad Most people still sit down with one chat window, he's already asking how you manage 50 agents Worth more than any $4,000 AI course Bookmark and watch it today Then read how to run your own team of agents in the harness engineering guide below ↓
Your agent is not autonomous You are its loop You check every step because nothing else in the system can I broke down the 7 levels from babysitting agents to running a fleet ↓
4
1
1
58
2,747