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Nobody is talking about what this Nvidia laptop actually means for creators Jensen Huang walked on stage and held up the RTX Spark like it was nothing special. Full Blackwell GPU. 1 petaflop of AI performance inside a laptop. It renders, edits and runs local AI models faster than...

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winkle.

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14,477 次观看 • 3 个月前 •via X (Twitter)

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THIS GUY BUILT A MINI AI FARM OUT OF 4 NVIDIA BOXES. IT DOESN'T LOOK LIKE A DATA CENTER. IT LOOKS LIKE A STACK OF SMALL MACHINES SITTING NEXT TO A LAPTOP. BUT EACH BOX IS A DGX SPARK WITH GRACE BLACKWELL INSIDE. 4 BOXES. 512GB OF UNIFIED MEMORY. NEARLY $12,000 OF LOCAL AI COMPUTE SITTING ON ONE DESK. NO CLOUD GPU RENTAL FEES. NO HOURLY METER. NO RENTED COMPUTE EATING YOUR MARGINS. MOST PEOPLE STILL THINK LOCAL AI MEANS A SLOW LAPTOP RUNNING A TOY MODEL. MEANWHILE, PEOPLE ARE STACKING SERIOUS AI COMPUTE AT HOME. LOCAL AI IS STARTING TO LOOK LIKE THE NEW MINING FARM.
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THIS GUY BUILT A MINI AI FARM OUT OF 4 NVIDIA BOXES. IT DOESN'T LOOK LIKE A DATA CENTER. IT LOOKS LIKE A STACK OF SMALL MACHINES SITTING NEXT TO A LAPTOP. BUT EACH BOX IS A DGX SPARK WITH GRACE BLACKWELL INSIDE. 4 BOXES. 512GB OF UNIFIED MEMORY. NEARLY $12,000 OF LOCAL AI COMPUTE SITTING ON ONE DESK. NO CLOUD GPU RENTAL FEES. NO HOURLY METER. NO RENTED COMPUTE EATING YOUR MARGINS. MOST PEOPLE STILL THINK LOCAL AI MEANS A SLOW LAPTOP RUNNING A TOY MODEL. MEANWHILE, PEOPLE ARE STACKING SERIOUS AI COMPUTE AT HOME. LOCAL AI IS STARTING TO LOOK LIKE THE NEW MINING FARM.

Vivek Sen

31,812 次观看 • 1 个月前

This Nvidia GPU farm sits in a spare room and prints $18,000 a month Ten cards running 24 hours a day, seven days a week. The setup cost $120,000 to build but it paid for itself in seven months. It does not mine crypto. It rents compute to AI companies that need processing power right now. Companies pay by the hour and the demand never stops. At full capacity the farm pulls $18,000 a month after electricity costs. The owner does not touch it. It just runs. Nvidia GPUs are the most in-demand piece of hardware on the planet right now. The companies that figured this out two years ago are already sitting on serious passive income. The barrier to entry is high but the people inside are not leaving. Follow if you want to understand where the real AI money is actually going.
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This Nvidia GPU farm sits in a spare room and prints $18,000 a month Ten cards running 24 hours a day, seven days a week. The setup cost $120,000 to build but it paid for itself in seven months. It does not mine crypto. It rents compute to AI companies that need processing power right now. Companies pay by the hour and the demand never stops. At full capacity the farm pulls $18,000 a month after electricity costs. The owner does not touch it. It just runs. Nvidia GPUs are the most in-demand piece of hardware on the planet right now. The companies that figured this out two years ago are already sitting on serious passive income. The barrier to entry is high but the people inside are not leaving. Follow if you want to understand where the real AI money is actually going.

winkle.

22,626 次观看 • 3 个月前

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.
0:11

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.

Gipp 🦅

591,405 次观看 • 3 个月前

THIS CHINESE GIRL CREATING INSANE AI VISUALS WITH HER FINGERS IN REAL TIME. THE TOOLS COST $0. While most visual artists are paying $150+/month for tools that rate limit mid-performance and send every prompt to a third-party server – this runs entirely offline on a normal laptop. –> TouchDesigner: free for non-commercial use. –> Ollama: open source since 2023. –> Total monthly cost: $0. Here's what $0 actually builds: –> Hand tracking with AI logic: MediaPipe tracks your hands, AI reads coordinates and triggers visual states. No hardcoded rules. –> Audio-reactive visuals: Audio feeds into Ollama every frame. AI returns parameters. TouchDesigner renders. Full loop under 50ms. –> Live performance: AI generates color palettes, particle behaviors, scene transitions from crowd audio, MIDI, microphone, camera. All real-time. –> Client installations: No API key that expires. No subscription that dies mid-show. Hand over the laptop and it runs forever. The $150/month tools go down at the worst moment. This doesn't go down. Ever. Your laptop. $0/month. A visual studio that runs forever. Bookmark this post. Full demo in the video below.
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THIS CHINESE GIRL CREATING INSANE AI VISUALS WITH HER FINGERS IN REAL TIME. THE TOOLS COST $0. While most visual artists are paying $150+/month for tools that rate limit mid-performance and send every prompt to a third-party server – this runs entirely offline on a normal laptop. –> TouchDesigner: free for non-commercial use. –> Ollama: open source since 2023. –> Total monthly cost: $0. Here's what $0 actually builds: –> Hand tracking with AI logic: MediaPipe tracks your hands, AI reads coordinates and triggers visual states. No hardcoded rules. –> Audio-reactive visuals: Audio feeds into Ollama every frame. AI returns parameters. TouchDesigner renders. Full loop under 50ms. –> Live performance: AI generates color palettes, particle behaviors, scene transitions from crowd audio, MIDI, microphone, camera. All real-time. –> Client installations: No API key that expires. No subscription that dies mid-show. Hand over the laptop and it runs forever. The $150/month tools go down at the worst moment. This doesn't go down. Ever. Your laptop. $0/month. A visual studio that runs forever. Bookmark this post. Full demo in the video below.

SCOTTY BEAM

19,116 次观看 • 3 个月前

A 24-year-old generated an AI girl on his laptop and built a page pulling millions of views every month No camera No real person No photoshoots Just AI-generated models, fast edits and captions engineered to keep people watching One clip took 11 minutes to make It crossed 8,700,000 views in 5 days ChatGPT wrote the scripts Flux generated the model CapCut edited everything automatically Now the page runs 24/7 without him even touching the account Most people still think AI tools are “just for fun” Meanwhile anonymous creators are building entire audiences from people who don’t even exist
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A 24-year-old generated an AI girl on his laptop and built a page pulling millions of views every month No camera No real person No photoshoots Just AI-generated models, fast edits and captions engineered to keep people watching One clip took 11 minutes to make It crossed 8,700,000 views in 5 days ChatGPT wrote the scripts Flux generated the model CapCut edited everything automatically Now the page runs 24/7 without him even touching the account Most people still think AI tools are “just for fun” Meanwhile anonymous creators are building entire audiences from people who don’t even exist

Insomnia

112,141 次观看 • 3 个月前

A 16-YEAR-OLD DEVELOPER BUILT AN AI EMPLOYEE THAT WORKS 24 HOURS A DAY FOR LESS THAN $20 He stopped treating AI like a chatbot and turned it into a complete production system powered by Claude, Cursor and automated workflows Every morning the pipeline generated new ideas, wrote scripts, organized research and prepared content before he even opened his laptop What used to take an entire afternoon now takes less than 30 minutes, cutting production costs while multiplying output every single week The biggest lesson wasn't that AI works faster It was that the people building repeatable systems are moving ahead of creators still doing everything manually The biggest advantage in 2026 won't be talent It will be automation Bookmark this
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A 16-YEAR-OLD DEVELOPER BUILT AN AI EMPLOYEE THAT WORKS 24 HOURS A DAY FOR LESS THAN $20 He stopped treating AI like a chatbot and turned it into a complete production system powered by Claude, Cursor and automated workflows Every morning the pipeline generated new ideas, wrote scripts, organized research and prepared content before he even opened his laptop What used to take an entire afternoon now takes less than 30 minutes, cutting production costs while multiplying output every single week The biggest lesson wasn't that AI works faster It was that the people building repeatable systems are moving ahead of creators still doing everything manually The biggest advantage in 2026 won't be talent It will be automation Bookmark this

RetroChainer

13,378 次观看 • 2 个月前

THIS SHELF OF MAC MINIS REPLACES $4,080 A YEAR IN AI SUBSCRIPTIONS 00:02 the camera pans across a shelf of stacked Mac minis and the trick is obvious: that silent little farm runs the models you rent every month most people pay 7 companies for AI and use 3 of the tools. they forget the rest on the credit card and call it a stack the Mac mini M4 ends that. one shared memory pool means a $599 box runs 7B and 8B models faster than Windows machines that cost twice as much ollama pull, one command. open webui in one docker line. point Claude Code at localhost and it just works it draws 10 to 30 watts, sits silent next to a router, and runs 24/7 for $3 a month in power it pays back a $20 ChatGPT Plus sub in 3 months, then saves you $4,000 a year while the frontier still rents you compute every month you wait is another $340 gone for compute that fits on a shelf
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THIS SHELF OF MAC MINIS REPLACES $4,080 A YEAR IN AI SUBSCRIPTIONS 00:02 the camera pans across a shelf of stacked Mac minis and the trick is obvious: that silent little farm runs the models you rent every month most people pay 7 companies for AI and use 3 of the tools. they forget the rest on the credit card and call it a stack the Mac mini M4 ends that. one shared memory pool means a $599 box runs 7B and 8B models faster than Windows machines that cost twice as much ollama pull, one command. open webui in one docker line. point Claude Code at localhost and it just works it draws 10 to 30 watts, sits silent next to a router, and runs 24/7 for $3 a month in power it pays back a $20 ChatGPT Plus sub in 3 months, then saves you $4,000 a year while the frontier still rents you compute every month you wait is another $340 gone for compute that fits on a shelf

Fokki

12,933 次观看 • 2 个月前

youtube is paying $8,217 a month to a channel with zero humans. no face. just 6 AI tools publishing anime on autopilot twice a week and youtube has no idea the algorithm doesn't check who made the video. it checks one number: how long people keep watching that's the entire game an 8-hour lofi anime stream plays on loop. one upload turns into hundreds of hours of watchtime every month at $3-8 RPM that's $2,400-6,400 from a single file the pipeline runs itself claude writes the script. midjourney draws the frames. runway animates. elevenlabs voices it. suno writes the soundtrack. assembles and publishes humans in the process: zero from prompt to a finished 12-minute episode: 2 hours. from episode to youtube: zero one channel. $8,217 last month article below - every prompt for every step most people ask "will AI take my job". better question - why are you still trading hours for money when a pipeline trades prompts for watchtime
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youtube is paying $8,217 a month to a channel with zero humans. no face. just 6 AI tools publishing anime on autopilot twice a week and youtube has no idea the algorithm doesn't check who made the video. it checks one number: how long people keep watching that's the entire game an 8-hour lofi anime stream plays on loop. one upload turns into hundreds of hours of watchtime every month at $3-8 RPM that's $2,400-6,400 from a single file the pipeline runs itself claude writes the script. midjourney draws the frames. runway animates. elevenlabs voices it. suno writes the soundtrack. assembles and publishes humans in the process: zero from prompt to a finished 12-minute episode: 2 hours. from episode to youtube: zero one channel. $8,217 last month article below - every prompt for every step most people ask "will AI take my job". better question - why are you still trading hours for money when a pipeline trades prompts for watchtime

Ventry

118,921 次观看 • 3 个月前

THIS ENGINEER SKIPPED 7,862 WORDS OF AI ROADMAP AND SHIPPED ON A WEEKEND a Pi Zero 2W, an IMX500 camera and a solar panel, that's the whole stack inference runs on-chip so there's no cloud, no latency and no monthly bill Spotted Dove at 0.95, King Parrot at 0.88, runs forever on sun code is open source and the 3D files are free, you just print the case and buy the parts and it works better than most paid wildlife monitoring services out there full video: code (open source): 3D print files: solar power board: save this so you actually have everything in one place when you decide to build it
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THIS ENGINEER SKIPPED 7,862 WORDS OF AI ROADMAP AND SHIPPED ON A WEEKEND a Pi Zero 2W, an IMX500 camera and a solar panel, that's the whole stack inference runs on-chip so there's no cloud, no latency and no monthly bill Spotted Dove at 0.95, King Parrot at 0.88, runs forever on sun code is open source and the 3D files are free, you just print the case and buy the parts and it works better than most paid wildlife monitoring services out there full video: code (open source): 3D print files: solar power board: save this so you actually have everything in one place when you decide to build it

leopardracer

63,096 次观看 • 3 个月前

The Amiko app is live on the Solana dApp store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →
0:10

The Amiko app is live on the Solana dApp store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →

AMIKO

124,860 次观看 • 3 个月前

This is Joe. The busiest man I know. • Real estate. • Runs a cleaning business. • Had no time for another "side hustle." So he chose an AI business model that doesn't need him every day. Today, he makes $5,000/month publishing AI audiobooks. And most of it runs on autopilot. His books took months to pick up, then suddenly they started compounding. From a few dollars a week to $1,000+/week. It wasn't luck. He followed a simple process: • Find topics people already listen to • Use AI to write and narrate the book • Publish across multiple platforms With my system it only takes 1 hour a day. I've spent 6 years perfecting this. If you want access to it, you can have it completely for free: Like this post Comment "SEND" I'll DM you the AI publishing system responsible for generating $50,000/month for me. (Must be following so I can message you.) ⏳ Only replying to the first 500 comments.
0:16

This is Joe. The busiest man I know. • Real estate. • Runs a cleaning business. • Had no time for another "side hustle." So he chose an AI business model that doesn't need him every day. Today, he makes $5,000/month publishing AI audiobooks. And most of it runs on autopilot. His books took months to pick up, then suddenly they started compounding. From a few dollars a week to $1,000+/week. It wasn't luck. He followed a simple process: • Find topics people already listen to • Use AI to write and narrate the book • Publish across multiple platforms With my system it only takes 1 hour a day. I've spent 6 years perfecting this. If you want access to it, you can have it completely for free: Like this post Comment "SEND" I'll DM you the AI publishing system responsible for generating $50,000/month for me. (Must be following so I can message you.) ⏳ Only replying to the first 500 comments.

Tommi Pedruzzi

75,957 次观看 • 5 个月前

What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.
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What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.

Carver

13,072 次观看 • 7 个月前

i've been paying 200$/month for AI tools for a while now claude, chatgpt, all of it thought that was just the price of doing things properly then i read this and had to close my laptop for a second someone bought a used GPU from eBay for $700 five years old. RTX 3090. the kind of card people sell when they upgrade for gaming plugged in a free model called Qwen 3.6 that alibaba quietly dropped last month and it scored 84.1 on vision tasks claude 4.5 opus scored 77.0 the 200$/month subscription lost to a free model running on old hardware the math gets worse after 4 months you've paid off the GPU from month 5 onwards you pay $8 for electricity that's it no subscription. no per message cost. nothing leaves your computer. ever. turns out i didn't have to is anyone else just finding out about this or was i the last one to know?
0:15

i've been paying 200$/month for AI tools for a while now claude, chatgpt, all of it thought that was just the price of doing things properly then i read this and had to close my laptop for a second someone bought a used GPU from eBay for $700 five years old. RTX 3090. the kind of card people sell when they upgrade for gaming plugged in a free model called Qwen 3.6 that alibaba quietly dropped last month and it scored 84.1 on vision tasks claude 4.5 opus scored 77.0 the 200$/month subscription lost to a free model running on old hardware the math gets worse after 4 months you've paid off the GPU from month 5 onwards you pay $8 for electricity that's it no subscription. no per message cost. nothing leaves your computer. ever. turns out i didn't have to is anyone else just finding out about this or was i the last one to know?

Crypto Mavka

14,126 次观看 • 2 个月前

AI podcast ads have been RIPPING lately you can pretty much create any video you want at this point a lot of people in my community have already generated crazy videos the hardest part is the prompting. that's where most people struggle. but once you have the right system, the outputs are actually insane 2026 is going to be a big year for AI video i literally made this in 5 minutes for $1 😂
0:14

AI podcast ads have been RIPPING lately you can pretty much create any video you want at this point a lot of people in my community have already generated crazy videos the hardest part is the prompting. that's where most people struggle. but once you have the right system, the outputs are actually insane 2026 is going to be a big year for AI video i literally made this in 5 minutes for $1 😂

Miko

39,934 次观看 • 7 个月前

1 mini PC that fits in a palm, with no monthly token bill attached to it. Most people run their AI through a browser tab. Every prompt, every document, every half-finished idea leaves the machine and lands on someone else's server. This ORICO mini PC runs the model locally. The assistant lives inside the box, not in a data center 2,000 miles away. Small enough to slide into a bag. Powerful enough that you stop noticing it is not a desktop. You pay once for hardware instead of every month for limits. No outage that takes your assistant down with it. No terms of service deciding what your files are worth. Plug it in anywhere, and the assistant is already there, offline, waiting. The smallest machine on the desk is the only one that keeps its mouth shut.
0:11

1 mini PC that fits in a palm, with no monthly token bill attached to it. Most people run their AI through a browser tab. Every prompt, every document, every half-finished idea leaves the machine and lands on someone else's server. This ORICO mini PC runs the model locally. The assistant lives inside the box, not in a data center 2,000 miles away. Small enough to slide into a bag. Powerful enough that you stop noticing it is not a desktop. You pay once for hardware instead of every month for limits. No outage that takes your assistant down with it. No terms of service deciding what your files are worth. Plug it in anywhere, and the assistant is already there, offline, waiting. The smallest machine on the desk is the only one that keeps its mouth shut.

AiMind

82,647 次观看 • 21 天前

This is an AI generated video that made $30K in 1 day Ecom brands are done working with UGC creators’ high prices and late deliveries They prefer AI video which are way cheaper and faster to get…… And that’s where you step in….. You’ll create the AI UGC videos for them at $200 a piece That’s $20K/week guaranteed Retweet, like, comment “AI” and I’ll send you a guide on how to do it (must be following)
0:14

This is an AI generated video that made $30K in 1 day Ecom brands are done working with UGC creators’ high prices and late deliveries They prefer AI video which are way cheaper and faster to get…… And that’s where you step in….. You’ll create the AI UGC videos for them at $200 a piece That’s $20K/week guaranteed Retweet, like, comment “AI” and I’ll send you a guide on how to do it (must be following)

Alessandro

13,859 次观看 • 1 年前

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below
0:15

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

54,492 次观看 • 3 个月前

🦔I wanted to share a compilation that I saw of residents recording what data centers sound like from their neighborhoods. The hum runs 24 hours a day, 7 days a week. I've covered the community side of the buildout before with the Gilroy and Pecos County projects, but hearing it is different than reading about it. My Take The people in these videos didn't sign up for a 24-hour industrial hum so that AI companies can train their next model. They weren't asked, and in a lot of cases they weren't even told until construction started. The buildout gets measured in gigawatts and billions of dollars on earnings calls. On the ground it gets measured in sleep you don't get and a home you can't sell. I've posted a lot of numbers this year about the AI boom. This is what those numbers sound like. Hedgie🤗
0:17

🦔I wanted to share a compilation that I saw of residents recording what data centers sound like from their neighborhoods. The hum runs 24 hours a day, 7 days a week. I've covered the community side of the buildout before with the Gilroy and Pecos County projects, but hearing it is different than reading about it. My Take The people in these videos didn't sign up for a 24-hour industrial hum so that AI companies can train their next model. They weren't asked, and in a lot of cases they weren't even told until construction started. The buildout gets measured in gigawatts and billions of dollars on earnings calls. On the ground it gets measured in sleep you don't get and a home you can't sell. I've posted a lot of numbers this year about the AI boom. This is what those numbers sound like. Hedgie🤗

Hedgie

22,945 次观看 • 27 天前

I did not ask for this and that is the whole point. Opened my laptop at 8. The brief was already sitting in Slack, timestamped 7:02. Everything that moved overnight, sorted by what it actually costs me to ignore. Three things flagged. Two of them I would have missed until Thursday. Nobody prompted it. No trigger, no "good morning summarise my inbox", no prompt to steal. That is the line between a tool and an employee. A tool waits for you to open it. This one had already done the reading. I still approve everything before it goes anywhere. He proposes, I decide. Viktor
0:12

I did not ask for this and that is the whole point. Opened my laptop at 8. The brief was already sitting in Slack, timestamped 7:02. Everything that moved overnight, sorted by what it actually costs me to ignore. Three things flagged. Two of them I would have missed until Thursday. Nobody prompted it. No trigger, no "good morning summarise my inbox", no prompt to steal. That is the line between a tool and an employee. A tool waits for you to open it. This one had already done the reading. I still approve everything before it goes anywhere. He proposes, I decide. Viktor

Aria Westcott

84,183 次观看 • 18 天前

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.
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save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.

may.crypto {🦅}

25,508 次观看 • 7 天前