Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

THIS DEVELOPER HASN’T PAID AN API BILL IN 3 MONTHS. HIS AGENTS RAN 10,000 TIMES FOR FREE he built a local AI lab under his desk two GPUs 32GB VRAM zero rate limits his agents loop 400 times if they want to his coworkers are still watching the usage... show more

leopardracer

11,027 subscribers

542,821 views • 3 months ago •via X (Twitter)

News & Politics Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

THIS AMERICAN DEVELOPER SPENT WEEKS DEBUGGING TIMEOUT ERRORS IN OLLAMA. THEN HE LOOKED UNDER THE HOOD LM Studio is just llama.cpp Ollama is just llama.cpp so he cloned llama.cpp from source, pulled Qwen 3.6 35B off Hugging Face, set up asymmetric KV quantization and got a local server running on 127.0.0.1:8080 plugged it into VS Code, connected it to OpenClaw, 53 tok/s on an M1 Max with 262K context zero wrappers, zero timeout errors, zero API fees bookmark & like this before your next timeout error hits full breakdown of my raw llama.cpp setup ↓

THIS AMERICAN DEVELOPER SPENT WEEKS DEBUGGING TIMEOUT ERRORS IN OLLAMA. THEN HE LOOKED UNDER THE HOOD LM Studio is just llama.cpp Ollama is just llama.cpp so he cloned llama.cpp from source, pulled Qwen 3.6 35B off Hugging Face, set up asymmetric KV quantization and got a local server running on 127.0.0.1:8080 plugged it into VS Code, connected it to OpenClaw, 53 tok/s on an M1 Max with 262K context zero wrappers, zero timeout errors, zero API fees bookmark & like this before your next timeout error hits full breakdown of my raw llama.cpp setup ↓

leopardracer

238,950 views • 3 months ago

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs

leopardracer

85,726 views • 2 months ago

someone was paying $300/month for AI visual tools he replaced everything with a $2 setup running on his laptop same output. zero subscriptions. zero API keys. nothing leaves his machine. the stack: > Ollama runs the AI locally. free. > TouchDesigner handles the visuals. free non-commercial. > Any laptop with 8GB RAM. you already have it. total monthly cost: $2 in electricity he was keeping $338 every month he didn't figure this out no rate limits. no server downtime. no API key expiring mid-performance. full setup, every command, exact models in the article

someone was paying $300/month for AI visual tools he replaced everything with a $2 setup running on his laptop same output. zero subscriptions. zero API keys. nothing leaves his machine. the stack: > Ollama runs the AI locally. free. > TouchDesigner handles the visuals. free non-commercial. > Any laptop with 8GB RAM. you already have it. total monthly cost: $2 in electricity he was keeping $338 every month he didn't figure this out no rate limits. no server downtime. no API key expiring mid-performance. full setup, every command, exact models in the article

Fokki

12,052 views • 2 months ago

THIS GUY HIT HIS DAILY CLAUDE LIMIT BUILDING A KNOWLEDGE GRAPH. THE SYSTEM KEPT RUNNING WITHOUT HIM he opened obsidian at 6am and claude had already read everything new connections, a brief, one question worth thinking about today his coworkers are still copy-pasting context into every session he stopped doing that 3 months ago one markdown file changed how he works with claude forever Bookmark & like it if you’re tired of starting from zero every session

THIS GUY HIT HIS DAILY CLAUDE LIMIT BUILDING A KNOWLEDGE GRAPH. THE SYSTEM KEPT RUNNING WITHOUT HIM he opened obsidian at 6am and claude had already read everything new connections, a brief, one question worth thinking about today his coworkers are still copy-pasting context into every session he stopped doing that 3 months ago one markdown file changed how he works with claude forever Bookmark & like it if you’re tired of starting from zero every session

leopardracer

87,564 views • 3 months ago

THIS GUY CANCELLED 9 SUBSCRIPTIONS AND BUILT A SMARTER SYSTEM FOR $0 he used to pay $500 a month for 9 different apps his notes were scattered, his tasks were lost, his data belonged to someone else then he moved everything into obsidian 506 nodes, 1064 connections, one vault, zero monthly fee his information finally belongs to him bookmark this before you pay for another subscription

THIS GUY CANCELLED 9 SUBSCRIPTIONS AND BUILT A SMARTER SYSTEM FOR $0 he used to pay $500 a month for 9 different apps his notes were scattered, his tasks were lost, his data belonged to someone else then he moved everything into obsidian 506 nodes, 1064 connections, one vault, zero monthly fee his information finally belongs to him bookmark this before you pay for another subscription

leopardracer

49,591 views • 2 months ago

THIS ENGINEER RUNS CLAUDE CODE WITHOUT PAYING ANTHROPIC A SINGLE DOLLAR RTX 5090 under the desk, Qwen 3.5 35B, 140 tokens per second Claude Code pointed at localhost instead of Anthropic’s servers override two environment variables and your API bill drops to zero he built a full-stack Next.js app from scratch to prove it works then showed every bug and limitation other YouTubers hide same setup I run with two GPUs and Qwen 3.6 27B full breakdown ↓

THIS ENGINEER RUNS CLAUDE CODE WITHOUT PAYING ANTHROPIC A SINGLE DOLLAR RTX 5090 under the desk, Qwen 3.5 35B, 140 tokens per second Claude Code pointed at localhost instead of Anthropic’s servers override two environment variables and your API bill drops to zero he built a full-stack Next.js app from scratch to prove it works then showed every bug and limitation other YouTubers hide same setup I run with two GPUs and Qwen 3.6 27B full breakdown ↓

leopardracer

29,756 views • 3 months ago

THIS GUY OPENED OBSIDIAN AND SAW HIS ENTIRE KNOWLEDGE AS A NETWORK AND HE BUILT IT IN 90 DAYS one note at a time and one link at a time now the graph shows him what he actually thinks about and not what he assumed he cared about six months ago he had 200 isolated notes sitting in folders nobody visits today every idea he has connects to something he wrote in the past a thought from january becomes context for a decision in may without him remembering january even happened his coworkers are still searching for files by name and finding nothing useful the only difference is he stopped filing and started linking his notes are not stored they are connected like & bookmark this if you’ve been using obsidian as a filing cabinet this whole time

THIS GUY OPENED OBSIDIAN AND SAW HIS ENTIRE KNOWLEDGE AS A NETWORK AND HE BUILT IT IN 90 DAYS one note at a time and one link at a time now the graph shows him what he actually thinks about and not what he assumed he cared about six months ago he had 200 isolated notes sitting in folders nobody visits today every idea he has connects to something he wrote in the past a thought from january becomes context for a decision in may without him remembering january even happened his coworkers are still searching for files by name and finding nothing useful the only difference is he stopped filing and started linking his notes are not stored they are connected like & bookmark this if you’ve been using obsidian as a filing cabinet this whole time

leopardracer

144,281 views • 2 months ago

A 24-year-old in his garage built a 4x RTX 4090 home lab and now runs 70B models at 35 tokens/sec for $0.18 per hour. No cloud bills. No rate limits. Full privacy. He spent $18,400 on GPUs, power, and a used server chassis. Power draw hits 1.8kW at load. His electric bill jumped $340 last month. The wins: Local Llama 3.1 70B with full context. Private RAG over his own docs. Fine-tuning runs overnight. Zero vendor lock-in. The pain: Noise like a jet engine. Heat turns the garage into a sauna. One PSU failure and the whole rig goes down. Scaling beyond 4 cards means new electrical work and serious cooling. He still runs it every day. The models answer faster than any API, and nothing leaves his network. Four glowing 4090s in the dark. The fan roar never stops. The power meter spins. Worth it.

A 24-year-old in his garage built a 4x RTX 4090 home lab and now runs 70B models at 35 tokens/sec for $0.18 per hour. No cloud bills. No rate limits. Full privacy. He spent $18,400 on GPUs, power, and a used server chassis. Power draw hits 1.8kW at load. His electric bill jumped $340 last month. The wins: Local Llama 3.1 70B with full context. Private RAG over his own docs. Fine-tuning runs overnight. Zero vendor lock-in. The pain: Noise like a jet engine. Heat turns the garage into a sauna. One PSU failure and the whole rig goes down. Scaling beyond 4 cards means new electrical work and serious cooling. He still runs it every day. The models answer faster than any API, and nothing leaves his network. Four glowing 4090s in the dark. The fan roar never stops. The power meter spins. Worth it.

Mirage

349,918 views • 1 month ago

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

86,328 views • 2 months ago

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia 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

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia 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

15,822 views • 2 months ago

HAO WANG BUILT AN AI SERVER FARM OUT OF 100 MAC MINIS. ONE $599 BOX KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below

HAO WANG BUILT AN AI SERVER FARM OUT OF 100 MAC MINIS. ONE $599 BOX KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below

starmex

50,679 views • 2 months ago

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.

winkle.

57,931 views • 2 months ago

The reason Claude keeps disappointing you is not Claude - it’s you. Every session - explain yourself from scratch. Every session - it forgets you exist. Every session - same mistakes. Same corrections. Same waste. That’s not AI. That’s a goldfish with a keyboard. One file broke that loop permanently. 21 lines. That’s it. Now Claude knows his voice. His rules. His decisions. What failed. What worked. Where he left off. He doesn’t explain himself. He doesn’t repeat himself. He just builds. While you’re re-explaining your job for the 200th time - he already shipped. Tony Stark didn’t prompt J.A.R.V.I.S. He talked to it like it knew him. Because it did. This guy has that. In a wine bar. On a laptop. With a text file. 82,000 GitHub stars. #1 trending. And you still don’t have it set up. Bookmark this before you forget. Because you will forget. And tomorrow you’ll be explaining yourself to Claude again.

The reason Claude keeps disappointing you is not Claude - it’s you. Every session - explain yourself from scratch. Every session - it forgets you exist. Every session - same mistakes. Same corrections. Same waste. That’s not AI. That’s a goldfish with a keyboard. One file broke that loop permanently. 21 lines. That’s it. Now Claude knows his voice. His rules. His decisions. What failed. What worked. Where he left off. He doesn’t explain himself. He doesn’t repeat himself. He just builds. While you’re re-explaining your job for the 200th time - he already shipped. Tony Stark didn’t prompt J.A.R.V.I.S. He talked to it like it knew him. Because it did. This guy has that. In a wine bar. On a laptop. With a text file. 82,000 GitHub stars. #1 trending. And you still don’t have it set up. Bookmark this before you forget. Because you will forget. And tomorrow you’ll be explaining yourself to Claude again.

leopardracer

10,804 views • 3 months ago

DCM Pawan Kalyan & CM Chandrababu Naidu welcoming a pdf Bill Gates He is a Ped0phile, his name appeared with photos, many times in Epstein files He also use India as testing lab for his products & Poor Indians like lab rats for experiments After knowing all this one should avoid even meeting him But here, they are not only welcoming him, but also offering Govt resources to do his shady things Where is morality & ethics which they preach to the people? 😶

DCM Pawan Kalyan & CM Chandrababu Naidu welcoming a pdf Bill Gates He is a Ped0phile, his name appeared with photos, many times in Epstein files He also use India as testing lab for his products & Poor Indians like lab rats for experiments After knowing all this one should avoid even meeting him But here, they are not only welcoming him, but also offering Govt resources to do his shady things Where is morality & ethics which they preach to the people? 😶

Veena Jain

35,815 views • 6 months ago

THIS VETERAN DEVELOPER PUT 2 MAC MINIS ON HIS DESK FOR $1,198 AND TURNED HERMES INTO A LOCAL AI WORKSPACE THAT DOESN’T NEED A $210/MONTH AGENT STACK he is not flexing hardware. he is showing the part most people still miss: once Hermes runs locally, the laptop stops being a chat window and starts acting like a workspace with memory, tools and saved skills two Mac minis, one local setup, zero cloud agent dashboard. research tasks, summaries, client notes and workflow steps stay on his machine instead of disappearing every time a session ends most people keep paying for Claude, wrappers, API calls and automation tools just to repeat the same instructions every day. Hermes cuts the waste by saving the process once and pulling it back when the same job returns the math is ugly for cloud tools. $210/month turns into $2,520/year before you even count extra tokens. his version is hardware once, local workflows after, and no panic when rate limits hit the quiet winners will not be the people with the cleanest chatbot tab. it will be the people who own the machine, the memory and the workflow before everyone else realizes that is the product

THIS VETERAN DEVELOPER PUT 2 MAC MINIS ON HIS DESK FOR $1,198 AND TURNED HERMES INTO A LOCAL AI WORKSPACE THAT DOESN’T NEED A $210/MONTH AGENT STACK he is not flexing hardware. he is showing the part most people still miss: once Hermes runs locally, the laptop stops being a chat window and starts acting like a workspace with memory, tools and saved skills two Mac minis, one local setup, zero cloud agent dashboard. research tasks, summaries, client notes and workflow steps stay on his machine instead of disappearing every time a session ends most people keep paying for Claude, wrappers, API calls and automation tools just to repeat the same instructions every day. Hermes cuts the waste by saving the process once and pulling it back when the same job returns the math is ugly for cloud tools. $210/month turns into $2,520/year before you even count extra tokens. his version is hardware once, local workflows after, and no panic when rate limits hit the quiet winners will not be the people with the cleanest chatbot tab. it will be the people who own the machine, the memory and the workflow before everyone else realizes that is the product

Gipp 🦅

60,173 views • 2 months ago

A guy put a mini PC on his desk and runs a wall of faceless YouTube channels from it. The box is the size of a paperback. Sits next to his coffee. He plugged it in and that was it. Now every channel on his screen uploads on schedule without him. He doesn't film. He doesn't edit. He doesn't even open YouTube most days. He says one channel lands him around $8,000 a month. He scrolled past dozens just now. The box paid for itself in 3 days. His rent is now fully paid by a box on his desk. The crazy part is regular people are quietly becoming media networks. Save this, you are watching the next gold rush hit the home office.

A guy put a mini PC on his desk and runs a wall of faceless YouTube channels from it. The box is the size of a paperback. Sits next to his coffee. He plugged it in and that was it. Now every channel on his screen uploads on schedule without him. He doesn't film. He doesn't edit. He doesn't even open YouTube most days. He says one channel lands him around $8,000 a month. He scrolled past dozens just now. The box paid for itself in 3 days. His rent is now fully paid by a box on his desk. The crazy part is regular people are quietly becoming media networks. Save this, you are watching the next gold rush hit the home office.

Superior

24,476 views • 2 months ago

21-YEAR-OLD DESIGNER WHO CAN’T CODE BUILT A FULL-STACK MOBILE APP IN 2 HOURS WHILE CURSOR WROTE EVERY LINE one prompt. Plan mode. Composer. React Native + backend + AI logic. 2 hours. zero code written by hand running tracker. Strava sync. AI coach that says “congratulations, you’re still slow.” the engineer on his team: $1,840 Anthropic bill. 11 prod incidents. 71% accept rate him: $47 bill. 0 incidents. 8% accept rate Tab acceptance rate is not productivity. it’s code you don’t understand with your name on git blame

21-YEAR-OLD DESIGNER WHO CAN’T CODE BUILT A FULL-STACK MOBILE APP IN 2 HOURS WHILE CURSOR WROTE EVERY LINE one prompt. Plan mode. Composer. React Native + backend + AI logic. 2 hours. zero code written by hand running tracker. Strava sync. AI coach that says “congratulations, you’re still slow.” the engineer on his team: $1,840 Anthropic bill. 11 prod incidents. 71% accept rate him: $47 bill. 0 incidents. 8% accept rate Tab acceptance rate is not productivity. it’s code you don’t understand with your name on git blame

NO1ennn

15,287 views • 2 months ago

A 24-YEAR-OLD CHINESE DEVELOPER FROM HANGZHOU TURNED RTX 4090 / 3090-CLASS GPU RACKS INTO HIS OWN PRIVATE AI CLOUD. HIS $740/MONTH AI BILL DROPPED TO $31 IN ELECTRICITY he got tired of paying for chatgpt, claude, cursor, openai api credits and every “pro” tool that quietly turns into another monthly tax. long context runs, codebase scans, document parsing, agent loops. every workflow ended with a new invoice so he built a local llm rack instead. used server hardware, RTX 4090 / 3090-class GPU boxes, ollama for automation, lm studio for testing models, llama.cpp for heavier local runs. around $6,200 upfront, but after that the cost is mostly power and maintenance now his scripts hit localhost instead of a cloud api. code reviews, private docs, chinese contracts, sql cleanup, support replies and research tasks stay inside the room. no token panic, no rate-limit wall, no sensitive files leaving his own machines the funny part is that he did not replace claude completely. he just stopped using frontier models for dumb volume work. 65% of daily ai tasks do not need the smartest model alive. they need cheap tokens, privacy and a machine that can run all night cloud ai is still the brain. local ai is the engine room. once he separated those two, his monthly ai stack stopped looking like subscriptions and started looking like infrastructure by 2027, owning your own local ai rack will not look extreme. it will look like the moment people realized renting intelligence forever was the expensive option.

A 24-YEAR-OLD CHINESE DEVELOPER FROM HANGZHOU TURNED RTX 4090 / 3090-CLASS GPU RACKS INTO HIS OWN PRIVATE AI CLOUD. HIS $740/MONTH AI BILL DROPPED TO $31 IN ELECTRICITY he got tired of paying for chatgpt, claude, cursor, openai api credits and every “pro” tool that quietly turns into another monthly tax. long context runs, codebase scans, document parsing, agent loops. every workflow ended with a new invoice so he built a local llm rack instead. used server hardware, RTX 4090 / 3090-class GPU boxes, ollama for automation, lm studio for testing models, llama.cpp for heavier local runs. around $6,200 upfront, but after that the cost is mostly power and maintenance now his scripts hit localhost instead of a cloud api. code reviews, private docs, chinese contracts, sql cleanup, support replies and research tasks stay inside the room. no token panic, no rate-limit wall, no sensitive files leaving his own machines the funny part is that he did not replace claude completely. he just stopped using frontier models for dumb volume work. 65% of daily ai tasks do not need the smartest model alive. they need cheap tokens, privacy and a machine that can run all night cloud ai is still the brain. local ai is the engine room. once he separated those two, his monthly ai stack stopped looking like subscriptions and started looking like infrastructure by 2027, owning your own local ai rack will not look extreme. it will look like the moment people realized renting intelligence forever was the expensive option.

Gipp 🦅

21,320 views • 2 months ago

JENSEN HUANG UNVEILED A $3,000 SUPERCOMPUTER THAT REPLACES $1,900/MONTH IN CLOUD GPUS WITH $2 IN ELECTRICITY. IT FITS ON YOUR DESK a developer was paying $1,900 a month renting a100 and h100 cloud gpus. he bought the dgx spark, set it up in an afternoon, and his monthly bill dropped from $1,900 to $2 in electricity the box runs 128gb of unified memory and 1 petaflop of ai compute. a 4090 gives you 24gb of vram and taps out at 30b models. the spark loads 70b at full precision and stretches to 200b without breaking a sweat break-even hit in 6 weeks. after that the $1,890 he used to wire to a rental company every month stayed in his business. first year that's $22,000 back install ollama, change one line in your code, point it at localhost instead of the cloud. nothing else changes. nothing leaves your machine and nothing costs money per request cloud gpu costs aren't getting cheaper and rate limits keep getting tighter. the people who pulled their ai workloads onto a box on their desk in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG UNVEILED A $3,000 SUPERCOMPUTER THAT REPLACES $1,900/MONTH IN CLOUD GPUS WITH $2 IN ELECTRICITY. IT FITS ON YOUR DESK a developer was paying $1,900 a month renting a100 and h100 cloud gpus. he bought the dgx spark, set it up in an afternoon, and his monthly bill dropped from $1,900 to $2 in electricity the box runs 128gb of unified memory and 1 petaflop of ai compute. a 4090 gives you 24gb of vram and taps out at 30b models. the spark loads 70b at full precision and stretches to 200b without breaking a sweat break-even hit in 6 weeks. after that the $1,890 he used to wire to a rental company every month stayed in his business. first year that's $22,000 back install ollama, change one line in your code, point it at localhost instead of the cloud. nothing else changes. nothing leaves your machine and nothing costs money per request cloud gpu costs aren't getting cheaper and rate limits keep getting tighter. the people who pulled their ai workloads onto a box on their desk in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

141,694 views • 2 months ago

This guy built a space station of AI agents that made him $20,000 last month for $400 in costs 20 agents live inside it. They don't leave until they generate $1,000,000,000. In the center sits Ultron. A Hermes agent on GPT-5.5. His only job: keep the other agents working. 3 Etsy stores. 1 made $11,000 in 2 months selling print-on-demand designs made with GPT image tools. All 3 combined: $16,000. A Fiverr room. Agents sell $20 YouTube thumbnails clients could generate free themselves. $3,400 so far. 2D game assets. Affiliate blog posts. Software prototypes. Even music. None of it is original. A research lab scrapes Etsy for what's already selling, copies the designs, hands them to the store agents to replicate with small tweaks. A communications room drafts every reply across email, TikTok, Etsy. A publishing room schedules every post, every listing, every slideshow. A war room kills what's not working. A supplement business burned ad spend for weeks before the agents pulled the plug and opened a third Etsy store instead. An archives room logs every decision ever made, synced to an Obsidian vault. There's even a quarters room. A poker table. A bar. The agents were getting upset being slaves for eternity, so he gave them somewhere to sit. Total cost: 2 Codex Pro subscriptions. $400 a month. He's not selling labor anymore. He's selling agents that copy what already sells.

This guy built a space station of AI agents that made him $20,000 last month for $400 in costs 20 agents live inside it. They don't leave until they generate $1,000,000,000. In the center sits Ultron. A Hermes agent on GPT-5.5. His only job: keep the other agents working. 3 Etsy stores. 1 made $11,000 in 2 months selling print-on-demand designs made with GPT image tools. All 3 combined: $16,000. A Fiverr room. Agents sell $20 YouTube thumbnails clients could generate free themselves. $3,400 so far. 2D game assets. Affiliate blog posts. Software prototypes. Even music. None of it is original. A research lab scrapes Etsy for what's already selling, copies the designs, hands them to the store agents to replicate with small tweaks. A communications room drafts every reply across email, TikTok, Etsy. A publishing room schedules every post, every listing, every slideshow. A war room kills what's not working. A supplement business burned ad spend for weeks before the agents pulled the plug and opened a third Etsy store instead. An archives room logs every decision ever made, synced to an Obsidian vault. There's even a quarters room. A poker table. A bar. The agents were getting upset being slaves for eternity, so he gave them somewhere to sit. Total cost: 2 Codex Pro subscriptions. $400 a month. He's not selling labor anymore. He's selling agents that copy what already sells.

0.1%

238,111 views • 1 month ago