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WTF, WHY IS NOBODY TELLING YOU TO SET THIS UP TODAY? SEVEN AGENTS, ZERO CODE, ONE EVENING. Start using Grok Bot for content today. Not next month. Today. The gap between the people who did and the people who kept meaning to is already visible on this timeline. Nothing...

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SCOTTY BEAM

77,524 subscribers

31,177 Aufrufe • vor 25 Tagen •via X (Twitter)

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14 Kommentare

Profilbild von LEX
LEXvor 24 Tagen

Fried's Getting Real, 2006: ship, measure, iterate. Now the human bottleneck is the approve button. Next question is which of the seven agents you actually trust with voice.

Profilbild von Daniel Birker
Daniel Birkervor 25 Tagen

Thank you for making this. I’ve been studying it and applying it to my Grok bots. This is accelerating my content growth.

Profilbild von NextGenAI
NextGenAIvor 25 Tagen

$200 a month entry is brutal for small companies

Profilbild von NIFFTYCAT
NIFFTYCATvor 25 Tagen

I’ll check it thanks! 🙏

Profilbild von Bradley Stone
Bradley Stonevor 25 Tagen

The 3D render is giving me some sick ideas for the apps I'm tinkering with.

Profilbild von Max Bevza
Max Bevzavor 25 Tagen

looks way too good

Profilbild von rewind
rewindvor 25 Tagen

the Publisher bit is real

Profilbild von WOWMAX.Exchange
WOWMAX.Exchangevor 25 Tagen

Great use case and beautiful visual. Thanks for sharing this alpha!

Profilbild von Mr.SahaRok
Mr.SahaRokvor 25 Tagen

The biggest bottleneck for most creators isn’t ideas — it’s execution. Seven specialized agents turning one idea into research, content, visuals, analysis and distribution is basically a personal media company in a box. The leverage isn’t creating more. It’s finally shipping everything you already have in your head. 🔥

Profilbild von Moki | AI
Moki | AIvor 25 Tagen

Seven agents in one evening sounds crazy, but the “shipping problem” is the part that hits. Most ideas don’t fail because they’re bad - they just never make it out of the drafts.

Profilbild von AnyXPay Crypto Card
AnyXPay Crypto Cardvor 25 Tagen

If you can really set up a content system like this with Grok Bot in just one evening, that’s impressive. Very useful guide!

Profilbild von magsimich
magsimichvor 25 Tagen

seven agents changes everything

Profilbild von illiasick
illiasickvor 25 Tagen

great content brother, this post really motivates me to start using Grok Bot for content creation, saved it

Profilbild von Kenny1st
Kenny1stvor 25 Tagen

the shipping problem is so real. ideas are easy, consistency is the hard part.

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WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓
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WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓

SCOTTY BEAM

4,821,782 Aufrufe • vor 1 Monat

WTF, THAT'S UNBELIEVABLE, 7 GROK BOT AGENTS SOLVED A $10,000-A-MONTH PROBLEM IN ONE EVENING For years anyone serious about content hit the same wall: it isn't one job, it's six. Research, writing, visuals, analysis, timing, publishing. One person doing all six ships once a week and burns out. Hiring all six – a researcher, a writer, a designer, an analyst, a scheduler, an editor – runs into five figures a month at market rates. → Now seven agents do it, and they don't sleep. The setup runs on Grok Bot. Seven agents, each with one narrow job, handing off in a fixed order. They work in parallel, pass output down the chain, and surface exactly one thing to me when a real decision is needed. Everything else they just handle. Zero code. Seven prompts. Ten minutes to stand up. Then it runs 24/7 without me in the loop. The chain showed me something I did not expect: the bottleneck was never ideas. It was the six hand-offs between having one and shipping it. Nothing publishes without my approval – that part I kept. And it hasn't been measured against months of results yet. When it is, the misses get published too. This isn't one AI replacing one creator. Seven narrow agents now form a content desk and compress a week of work into an evening ↓
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SCOTTY BEAM

12,204 Aufrufe • vor 22 Tagen

you finished reading it already picking your evening that is the part that got cheap eight steps, seven of them cover the build, and the build is one evening, step one is find a problem someone will actually pay for, and step one is the entire job two years of learning to code, gone, thirty thousand to a developer, gone, and the hour they went, everyone else in your niche got the same evening you did what did not get cheaper is knowing, which narrow thing is worth money, and being someone the buyer already trusts on the day it appears the artifact takes an evening charging monthly means you owe somebody the next twenty four of them
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you finished reading it already picking your evening that is the part that got cheap eight steps, seven of them cover the build, and the build is one evening, step one is find a problem someone will actually pay for, and step one is the entire job two years of learning to code, gone, thirty thousand to a developer, gone, and the hour they went, everyone else in your niche got the same evening you did what did not get cheaper is knowing, which narrow thing is worth money, and being someone the buyer already trusts on the day it appears the artifact takes an evening charging monthly means you owe somebody the next twenty four of them

Lagosaur

14,261 Aufrufe • vor 1 Monat

WTF, GROK BOT GALAXY STARTS TOMORROW AND THEY'RE BUILDING AN ENTIRE COMPANY FROM ZERO, LIVE ON STAGE. I'M NOT WAITING THREE DAYS. THE GROK BOT CONTENT SYSTEM IS ALREADY BUILT – AND YOU CAN HAVE IT RUNNING TONIGHT. Twelve sessions across three days. 101, engineering, product, founders, sales engineering, sales, SDRs, support, marketing ops, post-sales, marketing, final showcase. A company assembled in public, workflow by workflow. → Watch all of it. Register if you haven't. It's going to be good. But I'm not bringing a concept to this. I'm bringing infrastructure that already runs. The Grok Bot Content System is finished and in use. Seven agents, one narrow job each, a fixed handoff order. A chief of staff that routes. A researcher that sources and verifies. A writer that works in my voice. A visualiser that renders in my style. An analyst that reads what performed and tells the other two what to change. A scheduler that owns timing. A publisher that ships and confirms. Zero code. Seven prompts. Ten minutes to stand up. Then it runs without me in the loop. Here's why that matters if you're trying to make money from content: content isn't one job, it's six. One person doing all six ships once a week and quits by month four. And nothing on any platform – audience, sponsors, a product, a token community – compounds off one post a week. The thing standing between most people and revenue was never the idea. It was throughput and consistency, and that is exactly the part this removes. I'm not going to tell you what you'll earn. I'm handing you the desk, not a number. What you put through it is yours. Nothing publishes without my approval – that gate I kept on purpose. I wrote the whole build up in one article below ↓
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SCOTTY BEAM

10,486 Aufrufe • vor 29 Tagen

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I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.

Aleiah

257,595 Aufrufe • vor 1 Monat

ELON MUSK REPOSTED MY GROK BOT CONTENT SETUP. AND I STILL DON'T UNDERSTAND WHY NOBODY IS DOING THIS WITH TRADING YET. A WALL STREET RESEARCH DESK COSTS MILLIONS A YEAR TO STAFF – YOU CAN NOW RUN THE SAME THING WITH 9 GROK BOT AGENTS. Nine people used to do this job. Nine Grok Bot agents now do it while you sleep. Here's the entire desk: → MACRO – watches rates, CPI, FOMC. Tells you what kind of day it is before you open a single chart. → SCANNER – sweeps 9,000 tickers for one thing: your setup. Not "interesting stocks". Yours. → CATALYST – reads every 8-K, earnings call and wire the second it drops. Flags the two that matter. → QUANT – backtests the idea before you fall in love with it. Kills it if the edge isn't there. → CRYPTO – on-chain flows, funding, basis. The stuff nobody has the energy to check at 2am. → RISK – the one that actually saves you. Sizes the position, sets the stop, refuses the 4th trade. → EXECUTION – places the order, tracks the fill, reports the slippage in basis points. → COMPLIANCE – logs every single decision. So you can audit yourself instead of lying to yourself. → CHIEF OF STAFF – sits on top of all eight. Ranks their output and hands you one page every morning. Here's the part nobody says out loud: Retail traders don't lose because they lack information. They lose because they can't process it fast enough – and can't stay disciplined when they do. Grok Bot solves the first problem completely. RISK and COMPLIANCE quietly solve the second one, because a bot never moves a stop loss. And you write zero code. You describe each agent in plain English, tell it where to look, give it one job. Start with two: SCANNER and RISK. That alone is more process than 95% of retail traders have ever run. Not financial advice – this is a research desk, not a money printer. The bots find and organise. You decide. Bookmark this & read more in the article below ↓
0:24

ELON MUSK REPOSTED MY GROK BOT CONTENT SETUP. AND I STILL DON'T UNDERSTAND WHY NOBODY IS DOING THIS WITH TRADING YET. A WALL STREET RESEARCH DESK COSTS MILLIONS A YEAR TO STAFF – YOU CAN NOW RUN THE SAME THING WITH 9 GROK BOT AGENTS. Nine people used to do this job. Nine Grok Bot agents now do it while you sleep. Here's the entire desk: → MACRO – watches rates, CPI, FOMC. Tells you what kind of day it is before you open a single chart. → SCANNER – sweeps 9,000 tickers for one thing: your setup. Not "interesting stocks". Yours. → CATALYST – reads every 8-K, earnings call and wire the second it drops. Flags the two that matter. → QUANT – backtests the idea before you fall in love with it. Kills it if the edge isn't there. → CRYPTO – on-chain flows, funding, basis. The stuff nobody has the energy to check at 2am. → RISK – the one that actually saves you. Sizes the position, sets the stop, refuses the 4th trade. → EXECUTION – places the order, tracks the fill, reports the slippage in basis points. → COMPLIANCE – logs every single decision. So you can audit yourself instead of lying to yourself. → CHIEF OF STAFF – sits on top of all eight. Ranks their output and hands you one page every morning. Here's the part nobody says out loud: Retail traders don't lose because they lack information. They lose because they can't process it fast enough – and can't stay disciplined when they do. Grok Bot solves the first problem completely. RISK and COMPLIANCE quietly solve the second one, because a bot never moves a stop loss. And you write zero code. You describe each agent in plain English, tell it where to look, give it one job. Start with two: SCANNER and RISK. That alone is more process than 95% of retail traders have ever run. Not financial advice – this is a research desk, not a money printer. The bots find and organise. You decide. Bookmark this & read more in the article below ↓

SCOTTY BEAM

95,165 Aufrufe • vor 1 Monat

NVIDIA just built the laptop chip people are already calling the MacBook killer it is called RTX Spark, a single superchip that runs heavy creative work, real gaming, and private on-device AI agents, all on one machine but before you ditch your MacBook, here is the honest part nobody in the hype is telling you: > on raw memory bandwidth, a maxed macbook is actually still ahead, not behind > the RTX Spark laptops are not out yet, they ship this fall, apple is on shelves today > where nvidia truly wins is cuda, real RTX gaming, and 3D, things apple has no answer for > one is the proven machine you can buy now, the other is the more exciting bet for later so no, the macbook is not dead, and no, this is not just hype, the truth sits in between i broke down the full thing, every spec, who wins where, and which one is actually yours the honest breakdown is in the article below
0:34

NVIDIA just built the laptop chip people are already calling the MacBook killer it is called RTX Spark, a single superchip that runs heavy creative work, real gaming, and private on-device AI agents, all on one machine but before you ditch your MacBook, here is the honest part nobody in the hype is telling you: > on raw memory bandwidth, a maxed macbook is actually still ahead, not behind > the RTX Spark laptops are not out yet, they ship this fall, apple is on shelves today > where nvidia truly wins is cuda, real RTX gaming, and 3D, things apple has no answer for > one is the proven machine you can buy now, the other is the more exciting bet for later so no, the macbook is not dead, and no, this is not just hype, the truth sits in between i broke down the full thing, every spec, who wins where, and which one is actually yours the honest breakdown is in the article below

John Doe

107,985 Aufrufe • vor 4 Monaten

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.
1:27

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

Raoul Pal

79,047 Aufrufe • vor 2 Monaten

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering
0:56

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

159,776 Aufrufe • vor 5 Monaten

Seth Godin gave a masterclass on how to build an unforgettable brand in the age of AI: 1. Marketing is not about spend. It is about creating the conditions for other people to eagerly spread your idea. 2. Authenticity is overrated. What customers actually want is consistency. Show up the same way every single time and that is worth more than any Super Bowl ad. 3. Everything your company does is a marketing decision. How you answer the phone. What you charge. How you design things. Marketing is not a department. It is everything. 4. Trust is simple. Make a promise. Keep it. Especially when it is hard. 5. Successful brands are built with your customers talking about you. Not you talking about you. 6. A brand is not a logo. A brand is a promise. Nike has a brand. Hyatt has a logo. One of them you know exactly what to expect. The other you do not. 7. You are measuring the wrong things. Follower counts. Stock price. Open rates. False proxies will take your business in the wrong direction faster than anything else. 8. Social media followers mean nothing. Godin has 400,000 Instagram followers and says if he posts about a new book maybe 12 people buy it. The number is a distraction. 9. Stop trying to be famous. The goal is not to get more famous. The goal is to get less famous and more trusted. 10. Average marketing reaches average people. Average people will not buy your product. You need the people who will talk about you, challenge you, and eagerly pay more for better. 11. When you pick your customers you pick your future. Stop trying to reach everyone. Start trying to deeply serve someone specific. 12. Better beats louder every time. One guy running a wine email list with 130,000 subscribers does $30 million a year in revenue. No ads. No social media hustle. Just consistently better. 13. The real opportunity with AI is not making things cheaper. It is making things better. The businesses that use AI to deepen relationships will win. The ones using it to cut costs will race to the bottom. 14. Your job is not to do your job. Your job is to solve problems for other people and make things better by making better things. Everything else is just noise. 15. When AI becomes the buyer it will always choose the cheapest option. If your entire business strategy is being the cheapest, AI will destroy you. The only protection is being worth it in ways that cannot be easily measured. 16. The next level of marketing is permission at a depth nobody has achieved before. The brand that knows your tools, your projects, your needs, and shows up to help without being asked will be impossible to replace. 17. Most businesses will use AI to spam more people faster. The businesses that win will use AI to serve fewer people better. That gap is the biggest opportunity in marketing right now. 18. You have a squadron of summer interns available for twenty dollars a month. They are not that good but they are very eager. The businesses learning to be good bosses of AI right now will have an enormous advantage over everyone waiting to figure it out later. 19. The question every business should be asking is not how do I get more attention. It is how do I become the kind of business that people would genuinely miss if it disappeared tomorrow. That answer is your entire marketing strategy.
36:56

Seth Godin gave a masterclass on how to build an unforgettable brand in the age of AI: 1. Marketing is not about spend. It is about creating the conditions for other people to eagerly spread your idea. 2. Authenticity is overrated. What customers actually want is consistency. Show up the same way every single time and that is worth more than any Super Bowl ad. 3. Everything your company does is a marketing decision. How you answer the phone. What you charge. How you design things. Marketing is not a department. It is everything. 4. Trust is simple. Make a promise. Keep it. Especially when it is hard. 5. Successful brands are built with your customers talking about you. Not you talking about you. 6. A brand is not a logo. A brand is a promise. Nike has a brand. Hyatt has a logo. One of them you know exactly what to expect. The other you do not. 7. You are measuring the wrong things. Follower counts. Stock price. Open rates. False proxies will take your business in the wrong direction faster than anything else. 8. Social media followers mean nothing. Godin has 400,000 Instagram followers and says if he posts about a new book maybe 12 people buy it. The number is a distraction. 9. Stop trying to be famous. The goal is not to get more famous. The goal is to get less famous and more trusted. 10. Average marketing reaches average people. Average people will not buy your product. You need the people who will talk about you, challenge you, and eagerly pay more for better. 11. When you pick your customers you pick your future. Stop trying to reach everyone. Start trying to deeply serve someone specific. 12. Better beats louder every time. One guy running a wine email list with 130,000 subscribers does $30 million a year in revenue. No ads. No social media hustle. Just consistently better. 13. The real opportunity with AI is not making things cheaper. It is making things better. The businesses that use AI to deepen relationships will win. The ones using it to cut costs will race to the bottom. 14. Your job is not to do your job. Your job is to solve problems for other people and make things better by making better things. Everything else is just noise. 15. When AI becomes the buyer it will always choose the cheapest option. If your entire business strategy is being the cheapest, AI will destroy you. The only protection is being worth it in ways that cannot be easily measured. 16. The next level of marketing is permission at a depth nobody has achieved before. The brand that knows your tools, your projects, your needs, and shows up to help without being asked will be impossible to replace. 17. Most businesses will use AI to spam more people faster. The businesses that win will use AI to serve fewer people better. That gap is the biggest opportunity in marketing right now. 18. You have a squadron of summer interns available for twenty dollars a month. They are not that good but they are very eager. The businesses learning to be good bosses of AI right now will have an enormous advantage over everyone waiting to figure it out later. 19. The question every business should be asking is not how do I get more attention. It is how do I become the kind of business that people would genuinely miss if it disappeared tomorrow. That answer is your entire marketing strategy.

Yasmine Khosrowshahi

128,064 Aufrufe • vor 3 Monaten

your ai agent tested 1,262 trading strategies overnight. by morning it had forgotten every one of them. so tonight it tests some of them again. next week, again. everything it learned is sitting in a log file that nothing reads. every run starts on the same blank page. that's why it keeps handing you the idea that already died in a crash, with a new name on it, and you pay to find out twice. ai agent already does everything a fund does. finds the idea, writes the code, tests it against years of history, puts it live, reads what went wrong afterwards. all of it runs tonight for nothing. the one thing it can't do is remember. what got tried, what failed, in which market. nobody has built that part yet. that's the whole gap. not better models. a notebook. whoever builds it first gets a system that improves every week without them touching it. read the article below and save it. it's the full guide to how an ai trading agent is built, and how to make it remember every strategy it has already tested.
0:44

your ai agent tested 1,262 trading strategies overnight. by morning it had forgotten every one of them. so tonight it tests some of them again. next week, again. everything it learned is sitting in a log file that nothing reads. every run starts on the same blank page. that's why it keeps handing you the idea that already died in a crash, with a new name on it, and you pay to find out twice. ai agent already does everything a fund does. finds the idea, writes the code, tests it against years of history, puts it live, reads what went wrong afterwards. all of it runs tonight for nothing. the one thing it can't do is remember. what got tried, what failed, in which market. nobody has built that part yet. that's the whole gap. not better models. a notebook. whoever builds it first gets a system that improves every week without them touching it. read the article below and save it. it's the full guide to how an ai trading agent is built, and how to make it remember every strategy it has already tested.

cvxv666

48,965 Aufrufe • vor 1 Monat

Sam Altman said on camera at Stripe Sessions that we are in an insane area, stuck with old devices and old operating systems. The OS and the browser are built for humans clicking. Both get rewritten around agents that do not click. Two years deep building agents. Sharpest framing I have heard a frontier lab CEO put on the next interface. ↓ Read it before the gap locks in The part nobody is sitting with: >the chat window is the old interface >the new one is an agent in a loop with your machine >the gap between people prompting and people running agents is forming right now >in six months it will be permanent Open Claude, type a question, copy the answer, paste it into VS Code. The average dev runs this loop every day. They think they are using AI. That is 5% of what these tools can do. The people pulling ahead do not prompt. They build harnesses. They run agents in loops. Same model. Different output. Full 2026 agent playbook in the article below here:
0:35

Sam Altman said on camera at Stripe Sessions that we are in an insane area, stuck with old devices and old operating systems. The OS and the browser are built for humans clicking. Both get rewritten around agents that do not click. Two years deep building agents. Sharpest framing I have heard a frontier lab CEO put on the next interface. ↓ Read it before the gap locks in The part nobody is sitting with: >the chat window is the old interface >the new one is an agent in a loop with your machine >the gap between people prompting and people running agents is forming right now >in six months it will be permanent Open Claude, type a question, copy the answer, paste it into VS Code. The average dev runs this loop every day. They think they are using AI. That is 5% of what these tools can do. The people pulling ahead do not prompt. They build harnesses. They run agents in loops. Same model. Different output. Full 2026 agent playbook in the article below here:

Rohit

120,600 Aufrufe • vor 4 Monaten

A DEVELOPER PROVED THE REGEX YOU'VE WRITTEN A THOUSAND TIMES IS SECRETLY A COMPILER AND THAT ALMOST NO ONE WHO USES THEM HAS ANY IDEA WHAT ACTUALLY RUNS 36 minutes from Paul Wankadia, the engineer behind a regex engine that compiles your pattern straight down to raw machine code -- walking through what really happens between the slashes. -> The moment it clicks, regex stops being magic punctuation you paste from Stack Overflow and becomes what it actually is: a tiny machine. Your pattern gets turned into a state machine, and that machine is what runs against every character of your text. That one idea explains everything you never understood. Why one regex returns instantly and a nearly identical one hangs your whole server. Why some patterns are safe and others are a denial-of-service waiting to happen. It was never random -- it's whether the machine underneath is built well or badly. Writing a regex was never the skill -> reading one is. And now that an AI agent hands you dense, clever patterns you'd never write yourself, the person who can see the machine underneath is the one who catches the one that takes down production at 3am. Everyone copies regex and prays. This is the talk that ends the praying. Save it. The next time a pattern "Just works," you'll actually know why ↓
36:09

A DEVELOPER PROVED THE REGEX YOU'VE WRITTEN A THOUSAND TIMES IS SECRETLY A COMPILER AND THAT ALMOST NO ONE WHO USES THEM HAS ANY IDEA WHAT ACTUALLY RUNS 36 minutes from Paul Wankadia, the engineer behind a regex engine that compiles your pattern straight down to raw machine code -- walking through what really happens between the slashes. -> The moment it clicks, regex stops being magic punctuation you paste from Stack Overflow and becomes what it actually is: a tiny machine. Your pattern gets turned into a state machine, and that machine is what runs against every character of your text. That one idea explains everything you never understood. Why one regex returns instantly and a nearly identical one hangs your whole server. Why some patterns are safe and others are a denial-of-service waiting to happen. It was never random -- it's whether the machine underneath is built well or badly. Writing a regex was never the skill -> reading one is. And now that an AI agent hands you dense, clever patterns you'd never write yourself, the person who can see the machine underneath is the one who catches the one that takes down production at 3am. Everyone copies regex and prays. This is the talk that ends the praying. Save it. The next time a pattern "Just works," you'll actually know why ↓

slash1s

193,107 Aufrufe • vor 3 Monaten

Let's look inside the Grok Bot Brain. 26 AI agents. One core. Running right now. It captures what you'd lose. Connects what you'd forget. Surfaces it back exactly when you need it. A voice note becomes a task or an idea in 6 seconds, no filing - An idea from 3 weeks ago links to the one you just had automatically Your reading list reorders itself around what you're working on now Zero code, zero VPS, zero engineer. Job titles, not integrations. It remembers you. Every session. Forever. Best AI setup you can run in 2026: persistent, multi-agent, zero-code all three at once. Nothing else on the market does that. Chatbots forget you when the session ends. Notion and Obsidian just store what you hand them. Custom agent stacks need a server you babysit forever. Grok Bot is the only one in that gap. You forget half of what you learn today within the hour. That's not discipline, that's the hardware. Add a few hundred signals a day on top and "try harder" stops being a plan. Full build's in the article. Go look inside.
0:30

Let's look inside the Grok Bot Brain. 26 AI agents. One core. Running right now. It captures what you'd lose. Connects what you'd forget. Surfaces it back exactly when you need it. A voice note becomes a task or an idea in 6 seconds, no filing - An idea from 3 weeks ago links to the one you just had automatically Your reading list reorders itself around what you're working on now Zero code, zero VPS, zero engineer. Job titles, not integrations. It remembers you. Every session. Forever. Best AI setup you can run in 2026: persistent, multi-agent, zero-code all three at once. Nothing else on the market does that. Chatbots forget you when the session ends. Notion and Obsidian just store what you hand them. Custom agent stacks need a server you babysit forever. Grok Bot is the only one in that gap. You forget half of what you learn today within the hour. That's not discipline, that's the hardware. Add a few hundred signals a day on top and "try harder" stops being a plan. Full build's in the article. Go look inside.

Aleiah

19,658 Aufrufe • vor 1 Monat

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.
0:41

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.

cvxv666

173,490 Aufrufe • vor 1 Monat