Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

The loop has a name. And it runs in five steps. 1.Something feels heavy. 2. You reach for your poison. 3. You get the hit. 4. The relief dissipates, and you're lower than square one. 5. You start over. That circle, on repeat, is the loop. And notice: I... show more

Command Within | Build Self-Command

111,073 subscribers

34,546 görüntüleme • 1 ay önce •via X (Twitter)

Eğitim Sağlık & İyilik

Anya Rossi• Live Now

Private livecam show

4 Yorum

sissywhiteboi profil fotoğrafı

sissywhiteboi1 ay önce

The angle looking up at your perfect feet makes me want to do anything you say

Connor profil fotoğrafı

Connor1 ay önce

I was distracted by your feet so I jerked off

صندلSandal profil fotoğrafı

صندلSandal1 ay önce

i bow to you Queen 🙇🏿‍♂️🙏👠👠

Pierre Bell profil fotoğrafı

Pierre Bell1 ay önce

Good video on mute

Benzer Videolar

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

GREG ISENBERG

437,306 görüntüleme • 7 ay önce

For the guy who’s scared this part of him is the problem. It isn’t. The fear makes sense, and it’s common, especially in our community. But the thing draining you was never the kink. It’s the loop underneath it. And the second you see it clearly, you get to turn it around. If you want a simple way to start, the Exit Kit is in my bio. Much love. Save this for the night the loop comes knocking. #selfmastery #dopaminedetox #screenaddiction #reclaimyourenergy

For the guy who’s scared this part of him is the problem. It isn’t. The fear makes sense, and it’s common, especially in our community. But the thing draining you was never the kink. It’s the loop underneath it. And the second you see it clearly, you get to turn it around. If you want a simple way to start, the Exit Kit is in my bio. Much love. Save this for the night the loop comes knocking. #selfmastery #dopaminedetox #screenaddiction #reclaimyourenergy

Command Within | Build Self-Command

39,799 görüntüleme • 2 ay önce

Boris Cherny runs Claude Code at Anthropic. His line should stop you mid-scroll: "I don't prompt Claude anymore. I have loops running that prompt Claude and figure out what to do. My job is to write loops." The skill moved. From writing prompts to building the loop around them. A loop that works has three things. Drop one and it burns money in circles. 1. A finish line it can prove. Tests pass or they fail. "Looks done" is not a finish line. 2. A checker that did not write the code. A model grading itself always says yes. 3. Brakes set before you start. A step limit. A money ceiling. A stop condition. That is the whole game. The loop does the work. You design the cage it runs in. Full breakdown below.

Boris Cherny runs Claude Code at Anthropic. His line should stop you mid-scroll: "I don't prompt Claude anymore. I have loops running that prompt Claude and figure out what to do. My job is to write loops." The skill moved. From writing prompts to building the loop around them. A loop that works has three things. Drop one and it burns money in circles. 1. A finish line it can prove. Tests pass or they fail. "Looks done" is not a finish line. 2. A checker that did not write the code. A model grading itself always says yes. 3. Brakes set before you start. A step limit. A money ceiling. A stop condition. That is the whole game. The loop does the work. You design the cage it runs in. Full breakdown below.

shmidt

16,085 görüntüleme • 3 ay önce

your team put the deploy skill in the repo so everyone would run the same steps it works, and on your laptop it is not the one running the order is enterprise first, then personal, then project a folder of your own with the same name wins, quietly, on your machine only no error, no warning, the command runs and does something slightly different than it does for them and the command is the folder name, not the name field inside the file, so two skills collide over a directory you named months ago and forgot the shared checklist is shared right up until someone has a file of their own with the same name

your team put the deploy skill in the repo so everyone would run the same steps it works, and on your laptop it is not the one running the order is enterprise first, then personal, then project a folder of your own with the same name wins, quietly, on your machine only no error, no warning, the command runs and does something slightly different than it does for them and the command is the folder name, not the name field inside the file, so two skills collide over a directory you named months ago and forgot the shared checklist is shared right up until someone has a file of their own with the same name

Lagosaur

12,609 görüntüleme • 13 gün önce

THE ANATOMY OF A SECOND BRAIN THAT WRITES ITSELF one Obsidian vault, three layers, and a loop that files every good answer back into a wiki you never touch the structure: > CLAUDE.md + AGENTS.md - the constitution. same rules whether Claude or Codex runs the loop > raw/ - inbox, articles, assets. frozen and read-only, you feed it and walk away > wiki/ - index.md, entities/, concepts/, synthesis.md. the agent grows this on its own > log.md - append-only, every move timestamped 47 sources in -> 210 pages out the agent typed 96% of it. you typed zero the cost trick: point Opus 5 only at synthesis.md, the one file that needs frontier reasoning. everything else runs fine on cheaper models under the hood it's loop engineering: you ask -> a good answer gets filed back -> the wiki grows start linking entities to each other and you're one step from a full graph your research compounds while you sleep. the full blueprint is below 👇

THE ANATOMY OF A SECOND BRAIN THAT WRITES ITSELF one Obsidian vault, three layers, and a loop that files every good answer back into a wiki you never touch the structure: > CLAUDE.md + AGENTS.md - the constitution. same rules whether Claude or Codex runs the loop > raw/ - inbox, articles, assets. frozen and read-only, you feed it and walk away > wiki/ - index.md, entities/, concepts/, synthesis.md. the agent grows this on its own > log.md - append-only, every move timestamped 47 sources in -> 210 pages out the agent typed 96% of it. you typed zero the cost trick: point Opus 5 only at synthesis.md, the one file that needs frontier reasoning. everything else runs fine on cheaper models under the hood it's loop engineering: you ask -> a good answer gets filed back -> the wiki grows start linking entities to each other and you're one step from a full graph your research compounds while you sleep. the full blueprint is below 👇

Annatar.md

33,910 görüntüleme • 24 gün önce

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

83,349 görüntüleme • 2 ay önce

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

The Startup Ideas Podcast (SIP) 🧃

14,202 görüntüleme • 5 ay önce

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anatoli Kopadze

28,042 görüntüleme • 3 ay önce

IF YOU ARE STILL PROMPTING BY HAND IN 2026 YOU ARE ALREADY BEHIND the guy who built Claude Code at Anthropic said he stopped writing prompts a long time ago he runs loops instead, systems that write the prompts for him and keep working while he sleeps you type one request at a time and wait for the answer he built a machine that fires hundreds of requests, checks its own output and fixes itself with no hands on the keyboard here is how you make the jump step 1 stop treating the model like a chat box and start treating it like a worker you manage step 2 write a loop that takes a goal, breaks it into tasks and sends each one to the model on its own step 3 add a second pass where the model grades its own work and retries whatever failed step 4 let it run on a timer so it keeps shipping while you are away from the screen the person still typing prompts one by one is doing the work of a intern the person running loops is doing the work of a whole team off one laptop prompting was never the skill, building the system that prompts for you is

IF YOU ARE STILL PROMPTING BY HAND IN 2026 YOU ARE ALREADY BEHIND the guy who built Claude Code at Anthropic said he stopped writing prompts a long time ago he runs loops instead, systems that write the prompts for him and keep working while he sleeps you type one request at a time and wait for the answer he built a machine that fires hundreds of requests, checks its own output and fixes itself with no hands on the keyboard here is how you make the jump step 1 stop treating the model like a chat box and start treating it like a worker you manage step 2 write a loop that takes a goal, breaks it into tasks and sends each one to the model on its own step 3 add a second pass where the model grades its own work and retries whatever failed step 4 let it run on a timer so it keeps shipping while you are away from the screen the person still typing prompts one by one is doing the work of a intern the person running loops is doing the work of a whole team off one laptop prompting was never the skill, building the system that prompts for you is

Atlas

16,641 görüntüleme • 1 ay önce

Introducing Loop The autonomous business manager that runs your outreach, your follow-ups, and your pipeline,while you focus on the work only you can do. Loop doesn't live in your inbox. Your inbox lives in Loop. Reads every lead like a teammate who's been on your team for years Writes the reply, makes the call, chases the deal when email goes cold Pauses the moment a human actually needs to show up Replaces the patchwork of CRMs, outreach tools, and follow-up apps with one system that does the work Stop managing tools. Start running your loop. comment "loop" and we'll send you in. loop

Introducing Loop The autonomous business manager that runs your outreach, your follow-ups, and your pipeline,while you focus on the work only you can do. Loop doesn't live in your inbox. Your inbox lives in Loop. Reads every lead like a teammate who's been on your team for years Writes the reply, makes the call, chases the deal when email goes cold Pauses the moment a human actually needs to show up Replaces the patchwork of CRMs, outreach tools, and follow-up apps with one system that does the work Stop managing tools. Start running your loop. comment "loop" and we'll send you in. loop

Anushka Singh

13,039 görüntüleme • 4 ay önce

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

A finance professor manages $200M with AI agents, and he told everyone why: "Large language models are at the level of a fourth-year PhD student in every field" Alejandro Lopez-Lira's AI fund, Autopilot, returned 56% last year. The S&P did 16%. There are 52,000 people with money in it, and most of them just watch the machine work. What he automated is the same six-step loop every fund on earth runs: find an idea, code it, backtest it, deploy it, read the autopsy, learn from it. A quant at Two Sigma runs that loop once a month, and the salary time alone costs around $50,000 per hypothesis. All steps from this loop now fit in AI trading text box. Plain English in, executable strategy out, five-year backtest in 12 seconds, live on a broker 90 seconds after you typed the sentence. He runs $200M with AI. You can run same AI fund in two clicks, free to try: Step 6 on this loop is where everyone is stuck. Your agent has no memory. Every strategy it kills goes into a log nobody reads, and the next one starts from zero. Nobody keeps negative results. Not Citadel, not Man Group, not a single repo on GitHub. Fix that and the agent remembers every hypothesis it killed and the regime it died in. It stops burning cycles on your old mistakes. Jane Street pays 3,500 people to run this cycle and made $39.6 billion doing it. Five sixths of it is now free. Bookmark & read full map of this loop in the article below. Most people still think AI trading is out of reach for them - it isn't. Don't want to spend a dollar for testing this? Kalshi just opened a perps exchange and gives US users $25 free to start ->

cvxv666

83,206 görüntüleme • 2 ay önce

Every skill file I write ends with a self-improvement loop. It sits at the bottom of the skill.md and runs before the skill finishes: - Did any step fail or need a workaround? - Did I correct or reject anything meaningful? - Did you discover something a future run might need? Most runs it comes back with one or two suggested edits. I say not needed, or I say run it, and it rewrites its own file. It never edits without asking first, so every change still goes through you. Put the loop at the bottom of the skills you already have and let them self-improve while you use them.

Every skill file I write ends with a self-improvement loop. It sits at the bottom of the skill.md and runs before the skill finishes: - Did any step fail or need a workaround? - Did I correct or reject anything meaningful? - Did you discover something a future run might need? Most runs it comes back with one or two suggested edits. I say not needed, or I say run it, and it rewrites its own file. It never edits without asking first, so every change still goes through you. Put the loop at the bottom of the skills you already have and let them self-improve while you use them.

The Startup Ideas Podcast (SIP) 🧃

11,799 görüntüleme • 1 ay önce

CLAUDE + OBSIDIAN + LOOP ENGINEERING = AN AGENT THAT LIVES INSIDE YOUR NOTES Karpathy's second brain runs on something close to this two years of growth almost none of it typed by him • the loop, four steps on repeat > read - Claude Opus 5 opens the vault, not a chat window > write - notes and links get edited inside a branch > check - a critic reads the diff and walks every link > keep - the good change lands, the rest is left where it was • the math > costs 2-4x a single prompt > pays for itself past a 5% gain > zero notes overwritten, the vault only grows • the whole system, six plain files > CLAUDE.md, skills, subagents, hooks, MCP, plugins > you can read every one of them in an afternoon • three ways in > desktop connector - three clicks > Claude Code - full control > Obsidian plugin - you never leave the app the rules that keep it safe: append, never overwrite measure the gain before you add another step don't let it rewrite the whole vault in one turn set this up on a saturday and by december your vault answers questions your team is still googling a loop that never deletes a note is compound interest on your own thinking the stack: 📁 Claude ↳ 📁 Obsidian ↳

CLAUDE + OBSIDIAN + LOOP ENGINEERING = AN AGENT THAT LIVES INSIDE YOUR NOTES Karpathy's second brain runs on something close to this two years of growth almost none of it typed by him • the loop, four steps on repeat > read - Claude Opus 5 opens the vault, not a chat window > write - notes and links get edited inside a branch > check - a critic reads the diff and walks every link > keep - the good change lands, the rest is left where it was • the math > costs 2-4x a single prompt > pays for itself past a 5% gain > zero notes overwritten, the vault only grows • the whole system, six plain files > CLAUDE.md, skills, subagents, hooks, MCP, plugins > you can read every one of them in an afternoon • three ways in > desktop connector - three clicks > Claude Code - full control > Obsidian plugin - you never leave the app the rules that keep it safe: append, never overwrite measure the gain before you add another step don't let it rewrite the whole vault in one turn set this up on a saturday and by december your vault answers questions your team is still googling a loop that never deletes a note is compound interest on your own thinking the stack: 📁 Claude ↳ 📁 Obsidian ↳

Annatar.md

11,654 görüntüleme • 13 gün önce

How do you get out of a negative thought loop? The first step to regulation is awareness. When you become aware of the loop, you can shift your attention to your heart and your breathing … and soon, as your body responds, so does your mind.

How do you get out of a negative thought loop? The first step to regulation is awareness. When you become aware of the loop, you can shift your attention to your heart and your breathing … and soon, as your body responds, so does your mind.

Dr Joe Dispenza

53,815 görüntüleme • 1 ay önce

Step 1. Get naked Step 2. Put your headphones on Step 3. Click play and stare into the center Step 4. Loop at least 5 times Step 5. Become a mindless slave Step 6. SEND! Repeat daily 🔁

Step 1. Get naked Step 2. Put your headphones on Step 3. Click play and stare into the center Step 4. Loop at least 5 times Step 5. Become a mindless slave Step 6. SEND! Repeat daily 🔁

LD

109,210 görüntüleme • 2 ay önce

Anthropic just reliesed the best 1-hour workshop on Loop engineering: from one prompt to a Loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in 1 hour Free, the best thing on Loop engineering I've come across. Watch it, then try your first loop with the step-by-step guide below

Anthropic just reliesed the best 1-hour workshop on Loop engineering: from one prompt to a Loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in 1 hour Free, the best thing on Loop engineering I've come across. Watch it, then try your first loop with the step-by-step guide below

Mahax

97,367 görüntüleme • 24 gün önce

While AI timeline argues about loop engineering, a 20-year-old student in Shenzhen built the biggest loop anyone's aimed at money: 300 agents, one brain, $1,200 -> 395,000. Not a prompt. Not a bot. A loop that runs the whole job on its own - and never asks him a thing. No fund. No backers. Just a laptop, a dorm room, and a bet that a swarm beats a genius. His wallet: The smartest single model still works one step at a time. His loop moves in 300 directions at once - and never checks in with him. Claude Opus 4.8 runs the floor as the brain. 300 agents are the hands. One loop ties them together: > Decompose - Opus breaks the market into targets > Dispatch - 300 agents scatter across them at once > Execute - thousands of reads in a single pass, not one by one > Review - Opus grades every edge before a cent moves The hands find. The brain judges. The loop learns what failed and runs again, tighter each time. One daily loss cap, and it shuts itself down. It's not a bot you babysit. It's a loop that runs the whole desk. Everyone's just learning to run one loop. He runs 300 in one. The edge was never the genius model - it's the size of the loop, and the brain in charge of it. Save this - the full 300-agent loop is laid out above, start to finish. You'll want it when you build your own. 300 agents are looping right now, hunting the markets everyone skips. Two clicks and their trades land in your wallet too:

While AI timeline argues about loop engineering, a 20-year-old student in Shenzhen built the biggest loop anyone's aimed at money: 300 agents, one brain, $1,200 -> 395,000. Not a prompt. Not a bot. A loop that runs the whole job on its own - and never asks him a thing. No fund. No backers. Just a laptop, a dorm room, and a bet that a swarm beats a genius. His wallet: The smartest single model still works one step at a time. His loop moves in 300 directions at once - and never checks in with him. Claude Opus 4.8 runs the floor as the brain. 300 agents are the hands. One loop ties them together: > Decompose - Opus breaks the market into targets > Dispatch - 300 agents scatter across them at once > Execute - thousands of reads in a single pass, not one by one > Review - Opus grades every edge before a cent moves The hands find. The brain judges. The loop learns what failed and runs again, tighter each time. One daily loss cap, and it shuts itself down. It's not a bot you babysit. It's a loop that runs the whole desk. Everyone's just learning to run one loop. He runs 300 in one. The edge was never the genius model - it's the size of the loop, and the brain in charge of it. Save this - the full 300-agent loop is laid out above, start to finish. You'll want it when you build your own. 300 agents are looping right now, hunting the markets everyone skips. Two clicks and their trades land in your wallet too:

cvxv666

53,282 görüntüleme • 3 ay önce

Trading strategy making you money right now is already dying. You just can't feel it yet. Two finance professors tracked 97 published strategies. One year after they went public, the average edge was down 58%. Every edge has a half-life. Nobody hands you the expiration date. So three red weeks hit, and you panic-quit a strategy that was still alive. Or you marry a dead one and bleed for six months defending it. You can't tell the two apart by feel. That's the entire problem. There's now AI tool that draws the line for you. Horizon backtests 5 years in seconds and runs thousands of simulated paths, so before you go live you already know how deep and how long a normal drawdown runs. Drawdown is weather. Decay is information. One you ride out. One you cut. Then it runs the strategy automated -> the exit gets decided by the math you set when you were calm, not the mood you're in at the bottom. The same loop a quant desk pays $25,000 a year for. Yours for $0 while the beta open. Save this -> re-read it the next time you're three red weeks deep and about to fold a strategy that's still alive. Full framework in the article above. Free access while the beta's open:

Trading strategy making you money right now is already dying. You just can't feel it yet. Two finance professors tracked 97 published strategies. One year after they went public, the average edge was down 58%. Every edge has a half-life. Nobody hands you the expiration date. So three red weeks hit, and you panic-quit a strategy that was still alive. Or you marry a dead one and bleed for six months defending it. You can't tell the two apart by feel. That's the entire problem. There's now AI tool that draws the line for you. Horizon backtests 5 years in seconds and runs thousands of simulated paths, so before you go live you already know how deep and how long a normal drawdown runs. Drawdown is weather. Decay is information. One you ride out. One you cut. Then it runs the strategy automated -> the exit gets decided by the math you set when you were calm, not the mood you're in at the bottom. The same loop a quant desk pays $25,000 a year for. Yours for $0 while the beta open. Save this -> re-read it the next time you're three red weeks deep and about to fold a strategy that's still alive. Full framework in the article above. Free access while the beta's open:

cvxv666

71,962 görüntüleme • 3 ay önce

i built a small playable game in Unreal Engine with Claude Opus 5.5... no blueprints by hand, Claude worked inside the running editor the trick is the live connection, but there's a smart way to set it up: - step 1: Unreal Engine 5.8 + a Third Person project, under source control - step 2: enable Unreal MCP and AllToolsets, start the server - step 3: install Epic's free plugin for Claude Code and start Claude in the project folder - step 4: build a greybox level first: a path, a walled village, a tower you can see from the start - step 5: add the rules: 3 orbs, a locked gate, "You made it", R to restart - step 6: add one enemy, then health, then your attack, one feature per prompt - step 7: only then make it look good: your character, real assets, lighting and every prompt follows the same 4 rules... - say what "done" means - say what must not change - ask for a list of everything it touched - no silent workarounds: if it can't do it, it stops and says so the full course is in the article 👇🏻

i built a small playable game in Unreal Engine with Claude Opus 5.5... no blueprints by hand, Claude worked inside the running editor the trick is the live connection, but there's a smart way to set it up: - step 1: Unreal Engine 5.8 + a Third Person project, under source control - step 2: enable Unreal MCP and AllToolsets, start the server - step 3: install Epic's free plugin for Claude Code and start Claude in the project folder - step 4: build a greybox level first: a path, a walled village, a tower you can see from the start - step 5: add the rules: 3 orbs, a locked gate, "You made it", R to restart - step 6: add one enemy, then health, then your attack, one feature per prompt - step 7: only then make it look good: your character, real assets, lighting and every prompt follows the same 4 rules... - say what "done" means - say what must not change - ask for a list of everything it touched - no silent workarounds: if it can't do it, it stops and says so the full course is in the article 👇🏻

rewind

49,804 görüntüleme • 3 gün önce