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THIS CHINESE DEVELOPER'S OBSIDIAN BRAIN MAPS EVERY CLIENT CONVERSATION - ZERO EMPLOYEES, $40,000/MONTH, CATCHES PROBLEMS BEFORE CLIENTS DO every node on screen is a conversation - green for happy clients, yellow for neutral, red for problems that need attention - the brain sees the emotional state of the entire...

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Noisy

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41,822 просмотров • 3 дней назад •via X (Twitter)

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THIS OBSIDIAN BRAIN RUNS HIS ENTIRE BUSINESS - EVERY NEURON AN IDEA, EVERY CONNECTION A DECISION, $31,000/MONTH WITHOUT HIM IN THE LOOP most people manage their business in their head - meetings they forget, decisions they repeat, ideas that die in a notes app nobody opens every idea is a node, every process is a connection, every decision feeds back into the graph and makes the next one faster - it's not a mind map, it's a living operating system for an entire business when a new client comes in the brain already knows which process applies, which past decision is relevant and which agent to assign - zero thinking required, zero context lost Hermes Agent runs through the graph every morning - flags decisions that need attention, executes the tasks that don't and reports back before he opens his laptop after 6 months the brain accumulated 40,000+ connections and the agents started closing deals, onboarding clients and delivering output without a single message from him he didn't scale by hiring - he scaled by making the brain smarter every single week most founders are the bottleneck in their own company - he removed himself from the equation and revenue tripled
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THIS OBSIDIAN BRAIN RUNS HIS ENTIRE BUSINESS - EVERY NEURON AN IDEA, EVERY CONNECTION A DECISION, $31,000/MONTH WITHOUT HIM IN THE LOOP most people manage their business in their head - meetings they forget, decisions they repeat, ideas that die in a notes app nobody opens every idea is a node, every process is a connection, every decision feeds back into the graph and makes the next one faster - it's not a mind map, it's a living operating system for an entire business when a new client comes in the brain already knows which process applies, which past decision is relevant and which agent to assign - zero thinking required, zero context lost Hermes Agent runs through the graph every morning - flags decisions that need attention, executes the tasks that don't and reports back before he opens his laptop after 6 months the brain accumulated 40,000+ connections and the agents started closing deals, onboarding clients and delivering output without a single message from him he didn't scale by hiring - he scaled by making the brain smarter every single week most founders are the bottleneck in their own company - he removed himself from the equation and revenue tripled

Noisy

15,982 просмотров • 4 дней назад

He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.
1:01

He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.

Superior

16,851 просмотров • 26 дней назад

A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.
1:14

A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.

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A HUMAN INVENTED A TOOL THAT CAN BUILD A MILLION-DOLLAR COMPANY - AND IT'S FREE Vannevar Bush described this idea back in 1945 - a machine that expands the human brain to infinity, stores everything you know and connects every idea to every other one automatically. For 80 years nobody could build it. Now it's a free app on your laptop. One properly built Obsidian vault replaces an operations director, an analyst, a content strategist and a project manager simultaneously - running 24 hours a day with no days off, no salary and no Slack messages asking for clarification. The people who figured this out first are already running $15,000-$20,000/month businesses completely alone, no team, no office, no investors. The limits of this tool are the limits of your thinking. And judging by what the best users are doing with it - there are no limits.
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A HUMAN INVENTED A TOOL THAT CAN BUILD A MILLION-DOLLAR COMPANY - AND IT'S FREE Vannevar Bush described this idea back in 1945 - a machine that expands the human brain to infinity, stores everything you know and connects every idea to every other one automatically. For 80 years nobody could build it. Now it's a free app on your laptop. One properly built Obsidian vault replaces an operations director, an analyst, a content strategist and a project manager simultaneously - running 24 hours a day with no days off, no salary and no Slack messages asking for clarification. The people who figured this out first are already running $15,000-$20,000/month businesses completely alone, no team, no office, no investors. The limits of this tool are the limits of your thinking. And judging by what the best users are doing with it - there are no limits.

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THIS CHINESE DEVELOPER’S NEURAL NETWORK VISUALIZATION IS EXACTLY HOW YOUR OBSIDIAN VAULT SHOULD WORK every node connects to every other node and the whole thing gets smarter the more data flows through it, same way a real knowledge system should work but almost nobody builds it like that most people throw everything into folders and tags and call it a second brain but what they actually built is an archive that gets harder to use every month claude reads across everything you ever captured and finds the connection you need right when you need it here’s how to build the version that actually compounds ↓
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THIS CHINESE DEVELOPER’S NEURAL NETWORK VISUALIZATION IS EXACTLY HOW YOUR OBSIDIAN VAULT SHOULD WORK every node connects to every other node and the whole thing gets smarter the more data flows through it, same way a real knowledge system should work but almost nobody builds it like that most people throw everything into folders and tags and call it a second brain but what they actually built is an archive that gets harder to use every month claude reads across everything you ever captured and finds the connection you need right when you need it here’s how to build the version that actually compounds ↓

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One person rebuilt an entire company’s brain in 7 days inside Claude Code. Not a doc. Not Obsidian. A living galaxy of nodes. Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen. Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up. That last part is the whole game. Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand. Obsidian can’t do this. Notion can’t do this. No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal. This is the part nobody has priced in. The tools to build $200K enterprise software now sit on your laptop for free. The only thing missing is the guy who opens the terminal.
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One person rebuilt an entire company’s brain in 7 days inside Claude Code. Not a doc. Not Obsidian. A living galaxy of nodes. Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen. Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up. That last part is the whole game. Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand. Obsidian can’t do this. Notion can’t do this. No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal. This is the part nobody has priced in. The tools to build $200K enterprise software now sit on your laptop for free. The only thing missing is the guy who opens the terminal.

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Personal AGI is 3-6 months away. I'm already living in it. Here's my Obsidian setup: - Obsidian vault built since November 2025 - Markdowns about every person, project, and task - Limitless mic pulling daily transcripts straight in - Agents that read all of it before every task Obsidian is: - A second brain for you - A first brain for your agents My agents have full context before every task. That's the whole game.
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Personal AGI is 3-6 months away. I'm already living in it. Here's my Obsidian setup: - Obsidian vault built since November 2025 - Markdowns about every person, project, and task - Limitless mic pulling daily transcripts straight in - Agents that read all of it before every task Obsidian is: - A second brain for you - A first brain for your agents My agents have full context before every task. That's the whole game.

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A 14-year-old from China built three separate AI brains connected to Claude Code - and each one grows every day on its own. One brain for code, one for projects, one for everything else in his life. 600+ conversations on one topic in a single node - everything linked, everything accessible in one request without copying between tabs. But the main thing isn't storage. If Claude Code made a mistake and he corrected it once - the system remembered. That same mistake never happened again. No re-explaining context, no starting from zero - Claude already knows how he thinks. Instead of one giant messy file- a stack of smaller brains passing context to each other. Brain to brain to brain - just stacking intelligence while his classmates do homework by hand.
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A 14-year-old from China built three separate AI brains connected to Claude Code - and each one grows every day on its own. One brain for code, one for projects, one for everything else in his life. 600+ conversations on one topic in a single node - everything linked, everything accessible in one request without copying between tabs. But the main thing isn't storage. If Claude Code made a mistake and he corrected it once - the system remembered. That same mistake never happened again. No re-explaining context, no starting from zero - Claude already knows how he thinks. Instead of one giant messy file- a stack of smaller brains passing context to each other. Brain to brain to brain - just stacking intelligence while his classmates do homework by hand.

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22,597 просмотров • 1 месяц назад

A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO 1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project. 300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work. A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead. By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.
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A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO 1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project. 300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work. A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead. By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.

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A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.
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A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.

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Elon Musk is building something no platform in history has actually attempted. A system that judges ideas without knowing who wrote them. Musk: “It should be possible for somebody to post content as a new user with no followers, and if that content is excellent, it gets seen by a lot of people.” Every platform before this ran on a single hidden variable. Identity. Not quality. Not originality. Not depth. Identity. Who you were determined what got seen. The architecture didn’t surface the best thinking. It surfaced the most established thinker. It chose pedigree over precision. Every single time. Musk is the first person with the infrastructure, the capital, and the sheer indifference to consensus required to strip that variable out. Grok reads everything. Every post from every account. Zero followers or ten million. No weighting for legacy. No deference to tenure. It measures one thing. Intrinsic excellence. The printing press created publishers. Radio created networks. Television created anchors. Social media created influencers. Every technology of liberation produced a new gatekeeper within one generation. Musk is betting AI is the first tool that can’t be captured. An algorithm with no concept of identity has no incumbency to protect. It just reads. And it surfaces what’s best. If that works, it doesn’t just change a platform. It exposes something about every system that came before it. Every trending page, every algorithm, every feed that claimed to surface quality was never measuring quality. It was measuring proximity to power and calling it merit. We never had meritocracy. We had hierarchy with better marketing. Musk is building the first real one. And the question it forces isn’t whether you can compete. It’s whether your work was ever actually good, or you were just early. Everyone wants meritocracy. Almost nobody has ever lived in one.
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Elon Musk is building something no platform in history has actually attempted. A system that judges ideas without knowing who wrote them. Musk: “It should be possible for somebody to post content as a new user with no followers, and if that content is excellent, it gets seen by a lot of people.” Every platform before this ran on a single hidden variable. Identity. Not quality. Not originality. Not depth. Identity. Who you were determined what got seen. The architecture didn’t surface the best thinking. It surfaced the most established thinker. It chose pedigree over precision. Every single time. Musk is the first person with the infrastructure, the capital, and the sheer indifference to consensus required to strip that variable out. Grok reads everything. Every post from every account. Zero followers or ten million. No weighting for legacy. No deference to tenure. It measures one thing. Intrinsic excellence. The printing press created publishers. Radio created networks. Television created anchors. Social media created influencers. Every technology of liberation produced a new gatekeeper within one generation. Musk is betting AI is the first tool that can’t be captured. An algorithm with no concept of identity has no incumbency to protect. It just reads. And it surfaces what’s best. If that works, it doesn’t just change a platform. It exposes something about every system that came before it. Every trending page, every algorithm, every feed that claimed to surface quality was never measuring quality. It was measuring proximity to power and calling it merit. We never had meritocracy. We had hierarchy with better marketing. Musk is building the first real one. And the question it forces isn’t whether you can compete. It’s whether your work was ever actually good, or you were just early. Everyone wants meritocracy. Almost nobody has ever lived in one.

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Qullamaggie on Every Single One of You Can Do This “Yeah, every single one of you can. Could do this, no rocket science involved. It’s when you try the rocket science training that’s when bad things happen. You trading observe what’s going on. You learn some basic chart patterns that have worked for 100 years. You learn some basic risk management and boom. No advanced mathematics needed. There’s not really that much brain power needed to make it in this. Really, I think a brain dead person could do this.“

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THIS IS KARPATHY'S OBSIDIAN VAULT, THE BRAIN BEHIND A MILLION-DOLLAR COMPANY This is every idea, every decision, and every connection one person has made over years of work, visualized in real time. The human brain processes up to 11,000,000 bits of information per second, but consciously uses only 50. Inside this network: → thousands of nodes → hundreds of active links between ideas → 140+ decision-making processes per hour of work → years of compressed thinking living inside a single system make sure to bookmark it before it gets lost in your feed below I wrote a guide on how you can build yours for FREE (2 mins setup)

Hamza Khalid

327,606 просмотров • 3 дней назад

15-year-old American made $14,000 in his first month selling a service most marketers have never even heard of. Every time someone searches for a business on Google - the first thing they see is an AI response, not a website and not an ad. ChatGPT gives 5-6 recommendations and if a business isn't there - the customer goes to a competitor without a single click. His secret - AI visibility. He optimized local businesses to appear in ChatGPT responses, Google AI Overview and Meta AI instead of paying for ads that no longer work. He'd walk up to a business owner, show them that their business didn't appear in AI responses and ask if they wanted to fix it. Almost everyone said yes immediately. 8 clients at $800 in the first month, 20 clients in the second - because every satisfied client referred him to someone else. This isn't a marketing problem - it's a visibility problem. And he was the only one solving it in his city.
0:45

15-year-old American made $14,000 in his first month selling a service most marketers have never even heard of. Every time someone searches for a business on Google - the first thing they see is an AI response, not a website and not an ad. ChatGPT gives 5-6 recommendations and if a business isn't there - the customer goes to a competitor without a single click. His secret - AI visibility. He optimized local businesses to appear in ChatGPT responses, Google AI Overview and Meta AI instead of paying for ads that no longer work. He'd walk up to a business owner, show them that their business didn't appear in AI responses and ask if they wanted to fix it. Almost everyone said yes immediately. 8 clients at $800 in the first month, 20 clients in the second - because every satisfied client referred him to someone else. This isn't a marketing problem - it's a visibility problem. And he was the only one solving it in his city.

Noisy

42,697 просмотров • 1 месяц назад

A bot pulled $294K in one month with something I have never seen a 100% win rate. I scrolled through 5,000 trades looking for one loss. Could not find it. 100%. Not 99.5. Not "almost perfect." Actual, literal, every single trade green. CRYINGLITTLEBABY does not play the same game as other bots. They enter at the start of a window, read momentum, guess direction. This one waits. → Account: The 15-minute BTC window opens. He watches. Does nothing. Five minutes pass. BTC drops hard on spot. The move is real. But Polymarket still shows DOWN at 25 cents. Now he enters. The bet is not "will BTC go down?" The bet is "BTC already went down and the odds have not caught up yet." By the time the window closes, he is paid $1 for something he bought at 20-30 cents. Not because he predicted anything. Because he waited until predicting was unnecessary. The treemap broke my brain a little. Solid green. A full month of trading and not one red tile. I kept scrolling thinking I would find it hiding somewhere. Nothing. The edge is patience. Other bots race to enter first. This one lets them fight, watches the result, and collects what is left. A month of trading. Zero losses. Just a wall of green proving that sometimes the best prediction is no prediction at all.
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A bot pulled $294K in one month with something I have never seen a 100% win rate. I scrolled through 5,000 trades looking for one loss. Could not find it. 100%. Not 99.5. Not "almost perfect." Actual, literal, every single trade green. CRYINGLITTLEBABY does not play the same game as other bots. They enter at the start of a window, read momentum, guess direction. This one waits. → Account: The 15-minute BTC window opens. He watches. Does nothing. Five minutes pass. BTC drops hard on spot. The move is real. But Polymarket still shows DOWN at 25 cents. Now he enters. The bet is not "will BTC go down?" The bet is "BTC already went down and the odds have not caught up yet." By the time the window closes, he is paid $1 for something he bought at 20-30 cents. Not because he predicted anything. Because he waited until predicting was unnecessary. The treemap broke my brain a little. Solid green. A full month of trading and not one red tile. I kept scrolling thinking I would find it hiding somewhere. Nothing. The edge is patience. Other bots race to enter first. This one lets them fight, watches the result, and collects what is left. A month of trading. Zero losses. Just a wall of green proving that sometimes the best prediction is no prediction at all.

Blaze

272,074 просмотров • 5 месяцев назад

MOST AI INCOME RESETS TO ZERO EVERY MONTH. This model does not. AI workflow automation for service businesses produces retainers not one-time fees. Every client you add compounds the revenue instead of replacing the last payment. Six to eight clients. $3,000 to $5,000 per month. Built on a tool stack with free tiers sufficient to start without spending a dollar before your first client pays. No audience needed to start. Recurring revenue from day one of your first client. Follow NeilXbt for more AI income intelligence.
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MOST AI INCOME RESETS TO ZERO EVERY MONTH. This model does not. AI workflow automation for service businesses produces retainers not one-time fees. Every client you add compounds the revenue instead of replacing the last payment. Six to eight clients. $3,000 to $5,000 per month. Built on a tool stack with free tiers sufficient to start without spending a dollar before your first client pays. No audience needed to start. Recurring revenue from day one of your first client. Follow NeilXbt for more AI income intelligence.

NeilXbt

27,059 просмотров • 9 дней назад

Ahmed Abdullahi: It's not that IFMIS has no problems, and it was there for the national government before. This is a system that has been piloted. He cannot do it through threats and intimidation and not solve the issues. When a new system is being implemented, there are basics, and there is a piloting of that system so that you can troubleshoot problems that you face along the way. If this thing was working seamlessly, we wouldn't be having this conversation. why does everyone want to look good at the expense of counties? #KTNAt35 #NewsDesk Ndu Something!
2:32

Ahmed Abdullahi: It's not that IFMIS has no problems, and it was there for the national government before. This is a system that has been piloted. He cannot do it through threats and intimidation and not solve the issues. When a new system is being implemented, there are basics, and there is a piloting of that system so that you can troubleshoot problems that you face along the way. If this thing was working seamlessly, we wouldn't be having this conversation. why does everyone want to look good at the expense of counties? #KTNAt35 #NewsDesk Ndu Something!

KTN News

35,983 просмотров • 9 месяцев назад

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.
1:32

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.

Blaze

29,917 просмотров • 1 месяц назад

Elon Musk just put a number on the flaw at the center of Nvidia’s empire. Wall Street has not done the math yet. Nvidia’s Blackwell is the most sought-after silicon on Earth. Every AI lab wants it. Every sovereign nation is bidding for it. Blackwell runs every model, for every company, in every data center on the planet. That universality built the empire. It is also the fracture point. Musk: “We believe the AI5 chip will be about a third of the power of an Nvidia Blackwell for roughly comparable performance. And much less than 10% of the cost.” One-third the power. Comparable performance. Less than ten percent of the cost. Musk: “This is a chip that is very much optimized for the Tesla AI software stack. It’s not meant to be a general purpose chip.” Nvidia builds silicon that serves a million different customers. Every transistor spent on universal compatibility is a transistor not dedicated to one task. Tesla is building silicon for exactly one customer. Itself. When you strip away every function you will never call, you do not get a lesser chip. You get a weapon. Here is what the market refuses to see. Data centers drink unlimited power from the grid. Robots run on batteries. Musk: “In order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient.” You cannot put a Blackwell inside a walking machine. It would drain the battery before it crossed the room. The entire AI revolution lives inside air-conditioned buildings bolted to the electrical grid. Musk is not competing for that market. He is engineering the silicon that survives outside of it. One-third the power is not a spec sheet footnote. It is the physics threshold that severs intelligence from the wall socket. Without that number, every robot on Earth stays tethered. With it, the algorithm walks. Less than ten percent of the cost is not a pricing strategy. It is the line where a machine brain stops being a capital expenditure and becomes a commodity component. When the chip inside a humanoid costs less than the motors in its legs, you do not manufacture hundreds of robots. You manufacture millions. Wall Street is valuing the AI revolution by who dominates the data center. Musk is building the only silicon designed to leave one. Nvidia built the brain of the cloud. Musk is building the brain of the physical world. No one has priced that in yet.
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Elon Musk just put a number on the flaw at the center of Nvidia’s empire. Wall Street has not done the math yet. Nvidia’s Blackwell is the most sought-after silicon on Earth. Every AI lab wants it. Every sovereign nation is bidding for it. Blackwell runs every model, for every company, in every data center on the planet. That universality built the empire. It is also the fracture point. Musk: “We believe the AI5 chip will be about a third of the power of an Nvidia Blackwell for roughly comparable performance. And much less than 10% of the cost.” One-third the power. Comparable performance. Less than ten percent of the cost. Musk: “This is a chip that is very much optimized for the Tesla AI software stack. It’s not meant to be a general purpose chip.” Nvidia builds silicon that serves a million different customers. Every transistor spent on universal compatibility is a transistor not dedicated to one task. Tesla is building silicon for exactly one customer. Itself. When you strip away every function you will never call, you do not get a lesser chip. You get a weapon. Here is what the market refuses to see. Data centers drink unlimited power from the grid. Robots run on batteries. Musk: “In order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient.” You cannot put a Blackwell inside a walking machine. It would drain the battery before it crossed the room. The entire AI revolution lives inside air-conditioned buildings bolted to the electrical grid. Musk is not competing for that market. He is engineering the silicon that survives outside of it. One-third the power is not a spec sheet footnote. It is the physics threshold that severs intelligence from the wall socket. Without that number, every robot on Earth stays tethered. With it, the algorithm walks. Less than ten percent of the cost is not a pricing strategy. It is the line where a machine brain stops being a capital expenditure and becomes a commodity component. When the chip inside a humanoid costs less than the motors in its legs, you do not manufacture hundreds of robots. You manufacture millions. Wall Street is valuing the AI revolution by who dominates the data center. Musk is building the only silicon designed to leave one. Nvidia built the brain of the cloud. Musk is building the brain of the physical world. No one has priced that in yet.

Dustin

159,878 просмотров • 1 месяц назад

THIS CHINESE DEVELOPER CONNECTED 4 MAC MINIS AND BUILT A LOCAL HERMES AGENT FARM THAT RUNS RESEARCH TASKS FOR $0 CLOUD COST hermes is not just a chatbot. it finishes a task, turns the process into a reusable skill, and saves it so the next job starts with memory instead of a blank prompt the first competitor report can take 20 minutes. after enough saved workflows, the same report gets closer to 8-10 minutes because the agent already knows the structure his setup splits the work across machines: one Mac mini for research, one for pricing and reviews, one for writing reports, one for outreach drafts and Telegram commands no cloud dashboard, no $200/month agent subscription, no analyst team waiting 5 days to send a PDF. just local compute, Hermes skills, and a workflow that gets cheaper every time it repeats the funny part is that most people still think local AI means “slow toy models.” this looks more like a tiny research office running from one desk while the developer controls it from his phone
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THIS CHINESE DEVELOPER CONNECTED 4 MAC MINIS AND BUILT A LOCAL HERMES AGENT FARM THAT RUNS RESEARCH TASKS FOR $0 CLOUD COST hermes is not just a chatbot. it finishes a task, turns the process into a reusable skill, and saves it so the next job starts with memory instead of a blank prompt the first competitor report can take 20 minutes. after enough saved workflows, the same report gets closer to 8-10 minutes because the agent already knows the structure his setup splits the work across machines: one Mac mini for research, one for pricing and reviews, one for writing reports, one for outreach drafts and Telegram commands no cloud dashboard, no $200/month agent subscription, no analyst team waiting 5 days to send a PDF. just local compute, Hermes skills, and a workflow that gets cheaper every time it repeats the funny part is that most people still think local AI means “slow toy models.” this looks more like a tiny research office running from one desk while the developer controls it from his phone

Ridark

20,010 просмотров • 2 дней назад