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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... about your ideas has to change. What changes is how many of them actually get out. Almost nobody has an idea problem – they have a shipping problem, and shipping is exactly the part a machine is better at than you. The setup is seven agents: a Chief of Staff routing every task, a Researcher pulling real sources, a Writer turning them into finished copy in your voice, a Visualiser producing every image in your style, an Analyst reading what actually performed, a Scheduler owning the timing, a Publisher shipping it. You approve. That's the whole job now. More output → more surface area → more of everything that follows from being seen. Full guide, the one Elon reposted, in the article below ↓show more

SCOTTY BEAM

77,530 subscribers

31,146 просмотров • 7 дней назад •via X (Twitter)

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Комментарии: 14

Фото профиля LEX

LEX6 дней назад

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.

Фото профиля Daniel Birker

Daniel Birker7 дней назад

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

Фото профиля NextGenAI

NextGenAI6 дней назад

$200 a month entry is brutal for small companies

Фото профиля NIFFTYCAT

NIFFTYCAT7 дней назад

I’ll check it thanks! 🙏

Фото профиля Bradley Stone

Bradley Stone6 дней назад

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

Фото профиля Max Bevza

Max Bevza6 дней назад

looks way too good

Фото профиля rewind

rewind7 дней назад

the Publisher bit is real

Фото профиля WOWMAX.Exchange

WOWMAX.Exchange7 дней назад

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

Фото профиля Mr.SahaRok

Mr.SahaRok7 дней назад

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. 🔥

Фото профиля Moki | AI

Moki | AI6 дней назад

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.

Фото профиля AnyXPay Crypto Card

AnyXPay Crypto Card7 дней назад

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

Фото профиля magsimich

magsimich6 дней назад

seven agents changes everything

Фото профиля illiasick

illiasick7 дней назад

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

Фото профиля Kenny1st

Kenny1st7 дней назад

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 ↓

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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4,816,320 просмотров • 24 дней назад

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 ↓

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 ↓

SCOTTY BEAM

12,102 просмотров • 3 дней назад

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

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 просмотров • 22 дней назад

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓

THAT'S F**KING CRAZY, MY GROK BOT CONTENT DESK COSTS ME $20 A MONTH. I GOT QUOTED OVER $15,000 FOR THE HUMAN VERSION. I actually priced it out before I built it. Researcher, writer, designer, analyst, scheduler, editor – six roles, market rates, five figures a month before anyone ships a single post. Freelance instead of full-time? Cheaper, and then you own six calendars and six inboxes. → Seven agents replaced that line item. Here's the part that actually explains why. One narrow job each. A model asked to be six people is mediocre at six things. Asked to be one, it's one. Six worse prompts beat one perfect one. A fixed handoff order. The bottleneck was never ideas – it was the six hand-offs between having one and shipping it. Every hand-off is where a human team loses a day. Here it's a function call. A seventh agent that only routes. Six agents without a chief of staff is a group chat. With one, it's a desk. Nobody sleeps. Six people go home at six. The chain doesn't. Same week of work, compressed into an evening. Zero code. Seven prompts. Ten minutes to stand up. I still approve everything before it publishes – that gate I kept on purpose. And this hasn't been measured against months of results yet. When it is, the misses get written up too. I wrote it all down so you don't have to guess at the prompts. Seven agents, one article ↓

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19,063 просмотров • 2 дней назад

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Miraqle

86,840 просмотров • 23 дней назад

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93,953 просмотров • 19 дней назад

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John Doe

107,985 просмотров • 3 месяцев назад

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.

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 просмотров • 1 месяц назад

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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

159,676 просмотров • 5 месяцев назад

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

127,835 просмотров • 2 месяцев назад

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:

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 просмотров • 3 месяцев назад

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.

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

48,626 просмотров • 28 дней назад

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 ↓

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 просмотров • 3 месяцев назад

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.

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

19,304 просмотров • 14 дней назад

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.

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

172,951 просмотров • 1 месяц назад

the CEO of NVIDIA just said the PC you use today will be gone, replaced by an AI supercomputer that lives in your house Jensen Huang stood on stage holding the machine and said it becomes less like a computer and more like R2-D2, a thing in your home that just does work for you all day he put it bluntly, this is as big as the day the phone became the smartphone and the wild part is the hardware to do it already exists and ships this year here is what he actually unveiled: > a desktop that runs a one trillion parameter AI model locally, 768GB of memory, sitting by your desk > agents that run 24/7 with no meter, no cloud bill, no rental, doing work while you sleep > NVIDIA and Microsoft rebuilding the PC from the ground up for the first time in 40 years > a full lineup, from a $249 chip to enterprise monsters, and almost nobody knows which one they actually need the hype is going to push everyone toward the biggest most expensive machine i wrote the honest breakdown, every NVIDIA AI box, what each really does, the real math, and which one is actually yours the full guide is in the article below

the CEO of NVIDIA just said the PC you use today will be gone, replaced by an AI supercomputer that lives in your house Jensen Huang stood on stage holding the machine and said it becomes less like a computer and more like R2-D2, a thing in your home that just does work for you all day he put it bluntly, this is as big as the day the phone became the smartphone and the wild part is the hardware to do it already exists and ships this year here is what he actually unveiled: > a desktop that runs a one trillion parameter AI model locally, 768GB of memory, sitting by your desk > agents that run 24/7 with no meter, no cloud bill, no rental, doing work while you sleep > NVIDIA and Microsoft rebuilding the PC from the ground up for the first time in 40 years > a full lineup, from a $249 chip to enterprise monsters, and almost nobody knows which one they actually need the hype is going to push everyone toward the biggest most expensive machine i wrote the honest breakdown, every NVIDIA AI box, what each really does, the real math, and which one is actually yours the full guide is in the article below

John Doe

194,375 просмотров • 3 месяцев назад

The person who built Claude Code just explained how he is using it "Now I just have an army of agents that are doing stuff" Only 18 minutes, the best Claude guide on the internet right now. Boris Cherny covered: > how Claude Code is moving beyond just engineers > routines for CI, code review, and daily workflows > why the loop is the next big leap > working with hundreds of agents at once everything is already running through agents, ignoring this is not an option that's exactly why I wrote a full guide on how to build one yourself with Claude Code article below

The person who built Claude Code just explained how he is using it "Now I just have an army of agents that are doing stuff" Only 18 minutes, the best Claude guide on the internet right now. Boris Cherny covered: > how Claude Code is moving beyond just engineers > routines for CI, code review, and daily workflows > why the loop is the next big leap > working with hundreds of agents at once everything is already running through agents, ignoring this is not an option that's exactly why I wrote a full guide on how to build one yourself with Claude Code article below

Anatoli Kopadze

16,858 просмотров • 3 месяцев назад