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This 22-year-old American developer showed how he makes $14,200 a month using just a dual-GPU setup and Cohere’s new open-weights model. He doesn't have a powerhouse dev team. No massive VC funding. No expensive enterprise infrastructure. He built a "localized AI workflow" powered by the newly dropped Command A+...

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Ridark

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211,874 Aufrufe • vor 1 Monat •via X (Twitter)

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Kimmy K2.5 just launched a local cloud model. And it runs Open Claw for FREE forever. No API costs. No token limits. No subscriptions. Here's the setup 👇 → Download Ollama at → Install Kimmy K2.5 cloud model. → Launch Open Claw with one command. → Runs locally but uses cloud processing. → Zero laptop slowdown. → Works on older machines perfectly. I just set it up in under 2 minutes. Zero configuration. Zero technical skills. Want the commands? DM me.
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Kimmy K2.5 just launched a local cloud model. And it runs Open Claw for FREE forever. No API costs. No token limits. No subscriptions. Here's the setup 👇 → Download Ollama at → Install Kimmy K2.5 cloud model. → Launch Open Claw with one command. → Runs locally but uses cloud processing. → Zero laptop slowdown. → Works on older machines perfectly. I just set it up in under 2 minutes. Zero configuration. Zero technical skills. Want the commands? DM me.

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Microsoft spent $13 billion and 3 years building an AI that knows your work context. Every time you open it, it still asks what you're working on. This developer set up a plain text file in 2 minutes. The file is called CLAUDE.md. It loads before every session. Before he types a single word. It already knows his name. It already knows his writing style. It already knows what he's building, who it's for, and what he never wants to see in a response. He doesn't introduce himself anymore. He doesn't explain his preferences anymore. He doesn't correct the same mistakes twice. He just works. No $30/month Copilot subscription. No Microsoft 365. No IT approval. No data sharing agreement. No onboarding. Just a plain text file, a free text editor, and 21 instructions a developer distilled from Andrej Karpathy's research. Those 21 instructions moved Claude's coding accuracy from 65% to 94%. The file hit #1 on GitHub with 82,000 stars. Most people using Claude right now have never heard of it. Microsoft has 221,000 employees, $13 billion invested in OpenAI, and a direct integration into every Windows laptop sold on the planet.. they built an AI assistant most companies pay $30/user/month for that still doesn't know your name. This developer has a laptop, a text file and a 2-minute setup.. he built something that knows more about how he works than any enterprise AI on the market. The $50 billion AI personalization industry just got embarrassed by a .md file. full breakdown down below
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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

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Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
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NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.
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NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

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A 22-year-old automated his entire YouTube channel using Claude. $8,000 a month. He doesn't even touch the videos. No camera. No editing. No burnout. Just Claude. He opens it once and tells it what to do. Claude handles everything: > finds trending topics in his niche > writes titles and descriptions built for the algorithm > generates full video scripts > creates tags, timestamps, promotional posts One prompt. One channel. One person. $8,000 a month running on autopilot. The channel works while he sleeps. While he eats. While he lives his life. Most people still think YouTube means filming, editing, grinding for years before seeing a dollar. He just taught an AI to do it for him. And while you're reading this — his channel is already getting views. The craziest part? He's not a developer. Not a tech guy. Not some Silicon Valley genius. He's just someone who stopped overcomplicating it. The tools exist. The opportunity is wide open. The only question is why it's still not you.
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A 22-year-old automated his entire YouTube channel using Claude. $8,000 a month. He doesn't even touch the videos. No camera. No editing. No burnout. Just Claude. He opens it once and tells it what to do. Claude handles everything: > finds trending topics in his niche > writes titles and descriptions built for the algorithm > generates full video scripts > creates tags, timestamps, promotional posts One prompt. One channel. One person. $8,000 a month running on autopilot. The channel works while he sleeps. While he eats. While he lives his life. Most people still think YouTube means filming, editing, grinding for years before seeing a dollar. He just taught an AI to do it for him. And while you're reading this — his channel is already getting views. The craziest part? He's not a developer. Not a tech guy. Not some Silicon Valley genius. He's just someone who stopped overcomplicating it. The tools exist. The opportunity is wide open. The only question is why it's still not you.

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A 16-year-old American student made $7,000 in his first month after publishing his first game on Google Play - and GPT-5.5 built the whole thing for him. He had zero programming knowledge and no $50,000 dev team. He just opened GPT-5.5, described what he wanted to build, and went to play while the AI wrote every line of code for him. GPT-5.5 built a complete 3D game called Hormuz Escape from scratch - obstacle avoidance mechanics, high score system, particle effects, AdMob integration for ads, and a Firebase leaderboard. All from one prompt in a week of work. A Google Play Developer account cost $25 once and forever. 10,000 active players at $0.03 a day through AdMob is already $9,000 a month in passive income. He stopped at $7,000 in the first month and the number keeps growing. 3 billion Android devices in the world and the Play Store is open to anyone with $25 and an idea. AI removed the last barrier - needing to know how to code. $25 to register, One week of work. $7,000 in the first month.

Sprytix

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JENSEN HUANG PUT 1 PETAFLOP AND 128GB OF GPU MEMORY IN A $150,000 BOX. THE $249 JETSON RUNS THE SAME MODELS AND CUTS A $200/MONTH AI BILL TO $2 IN ELECTRICITY the $249 jetson orin nano super runs llama 3, mistral and deepseek locally at 67 trillion operations per second. zero api fees, zero data leaving your machine, $2 a month in electricity andrej karpathy says 99% of ai users are missing 7 basics that have nothing to do with the hardware. a proper config file, a /raw and /wiki folder, saved reference pages. the model stops guessing and starts helping most people pay $200 a month and still get bad output because the problem was never the model. it was the workflow around it. fix the system and a $249 box handles 80% of what you open chatgpt for the jetson breaks even in 6 weeks at $100/month api spend. after that every month is $98 back in your pocket. first year that's over $1,000 saved from a one-time $249 purchase the people building local ai infrastructure in 2026 with a proper workflow are going to look very far ahead in 2028 bookmark this and read the article below
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JENSEN HUANG PUT 1 PETAFLOP AND 128GB OF GPU MEMORY IN A $150,000 BOX. THE $249 JETSON RUNS THE SAME MODELS AND CUTS A $200/MONTH AI BILL TO $2 IN ELECTRICITY the $249 jetson orin nano super runs llama 3, mistral and deepseek locally at 67 trillion operations per second. zero api fees, zero data leaving your machine, $2 a month in electricity andrej karpathy says 99% of ai users are missing 7 basics that have nothing to do with the hardware. a proper config file, a /raw and /wiki folder, saved reference pages. the model stops guessing and starts helping most people pay $200 a month and still get bad output because the problem was never the model. it was the workflow around it. fix the system and a $249 box handles 80% of what you open chatgpt for the jetson breaks even in 6 weeks at $100/month api spend. after that every month is $98 back in your pocket. first year that's over $1,000 saved from a one-time $249 purchase the people building local ai infrastructure in 2026 with a proper workflow are going to look very far ahead in 2028 bookmark this and read the article below

starmex

86,855 Aufrufe • vor 1 Monat

Do you actually understand what's happening. He built a personal local AI voice agent that fits in your pocket. Clients pay him $2,500/month to have one. It runs locally. No cloud. No rate limits. No data going anywhere. You talk to it and it acts in real systems, automatically, without a human in the loop. He looked at that device and didn't think about using it himself. He thought about who would pay him to build one for them. $28,000/month ops team. Five agents. $200/month in tools. Client saves $22,000. He earns $2,500/month to maintain it. They never cancel. Canceling means hiring the team back. 8 clients. $20,000/month recurring. Everyone is talking about AI voice agents like they're a personal productivity tool. He turned one into a business. Different outcome.
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Do you actually understand what's happening. He built a personal local AI voice agent that fits in your pocket. Clients pay him $2,500/month to have one. It runs locally. No cloud. No rate limits. No data going anywhere. You talk to it and it acts in real systems, automatically, without a human in the loop. He looked at that device and didn't think about using it himself. He thought about who would pay him to build one for them. $28,000/month ops team. Five agents. $200/month in tools. Client saves $22,000. He earns $2,500/month to maintain it. They never cancel. Canceling means hiring the team back. 8 clients. $20,000/month recurring. Everyone is talking about AI voice agents like they're a personal productivity tool. He turned one into a business. Different outcome.

Superior

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Pieter Levels makes over $250,000 a month -> alone, from a laptop, with zero employees no co-founder. no investors. no team. just him and a backpack, moving between countries he started by daring himself to launch 12 startups in 12 months. then he kept going -> 70+ products over the years, and most of them flopped he doesn't plan. no roadmaps, no polishing for months. he ships before it's "ready" and kills anything that gets no traction within weeks one throwaway experiment -> an AI photo app he built the day after a tweet went viral -> hit $77,000/month within a year. today it does over $130,000/month on its own he still writes everything in old-school PHP. every error gets piped straight to his Telegram. ~95% of the revenue is pure profit even Andrej Karpathy said this is the model for the future: one person running multiple companies the clip below is him explaining exactly how ↓
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Pieter Levels makes over $250,000 a month -> alone, from a laptop, with zero employees no co-founder. no investors. no team. just him and a backpack, moving between countries he started by daring himself to launch 12 startups in 12 months. then he kept going -> 70+ products over the years, and most of them flopped he doesn't plan. no roadmaps, no polishing for months. he ships before it's "ready" and kills anything that gets no traction within weeks one throwaway experiment -> an AI photo app he built the day after a tweet went viral -> hit $77,000/month within a year. today it does over $130,000/month on its own he still writes everything in old-school PHP. every error gets piped straight to his Telegram. ~95% of the revenue is pure profit even Andrej Karpathy said this is the model for the future: one person running multiple companies the clip below is him explaining exactly how ↓

Ridark

478,589 Aufrufe • vor 21 Tagen

This guy makes $80,000 a month working 30 hours a week. He launched his business on a Sunday and had $10,000 in recurring revenue by Monday. I know what you're thinking and no-- - He didn't have an audience. - He didn't have followers. And he kept his full-time job for four years while running this on the side. He was making more per month in profit than he was making per year at his day job. At one point he was bringing in $200,000 a month with only $4,000 in expenses. Startup cost? He built the entire thing in a weekend using Webflow and launched it on Product Hunt. That's it. What is it? A productized design agency called Design Joy. He sells unlimited design work as a monthly subscription. No contracts. No calls. And Clients pay $6,000 a month and get designs back in a day. In this episode Brett: - Breaks down how he went from $449/month to $8,000/month per client - Shows me the AI tools he uses to work faster than traditional agencies - Tells me why speed matters more than quality - Gives me two productized service ideas anyone can copy right now - Explains why he thinks branding agencies are the next big opportunity Certified banger. Brett, thank you for coming on!
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This guy makes $80,000 a month working 30 hours a week. He launched his business on a Sunday and had $10,000 in recurring revenue by Monday. I know what you're thinking and no-- - He didn't have an audience. - He didn't have followers. And he kept his full-time job for four years while running this on the side. He was making more per month in profit than he was making per year at his day job. At one point he was bringing in $200,000 a month with only $4,000 in expenses. Startup cost? He built the entire thing in a weekend using Webflow and launched it on Product Hunt. That's it. What is it? A productized design agency called Design Joy. He sells unlimited design work as a monthly subscription. No contracts. No calls. And Clients pay $6,000 a month and get designs back in a day. In this episode Brett: - Breaks down how he went from $449/month to $8,000/month per client - Shows me the AI tools he uses to work faster than traditional agencies - Tells me why speed matters more than quality - Gives me two productized service ideas anyone can copy right now - Explains why he thinks branding agencies are the next big opportunity Certified banger. Brett, thank you for coming on!

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.SnowflakeDB is thrilled to announce #SnowflakeArctic: A state-of-the-art large language model uniquely designed to be the most open, enterprise-grade LLM on the market. This is a big step forward for open source LLMs. And it’s a big moment for Snowflake in our #AI journey as we continue to build best-in-class enterprise-grade products for our customers. The era of enterprise AI is here. 🚀
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sridhar

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🔥 another win for open source AI SNOWFLAKE ARCTIC: 1] Mixture of Experts model with 128 (!) experts 2] open weights, open code 3] Company is sharing "cookbook" and data and teaching people how to build their own world class MoE models. 4] very cheap model to train (16x times less than Llama 3)

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THIS CHINESE DEVELOPER VISUALIZED WHAT 300 KIMI K2.6 AGENTS LOOK LIKE IN ACTION - AND IT LOOKS EXACTLY LIKE A BRAIN WORKING FOR YOU every line on screen is a connection firing in real time - hundreds of neurons across multiple layers, activations lighting up, signals passing through the network simultaneously in both directions this is not a diagram and not a concept - this is the actual mechanics of what happens inside the model every time it processes your request now multiply that by 300 parallel agents running 4,000 coordinated steps at the same time - while you drink coffee the entire system fires neurons and does the work for you a team paying $62,000/month on Claude Opus cut their bill to $129 by switching to Kimi K2.6 as the execution layer - Opus plans, Kimi executes, $54,000/month stays in the business what looks like fire on screen is your new employee who never sleeps, never asks for a raise and never goes on vacation most people pay for subscriptions that forget everything tomorrow - he built a system that works and compounds while he sleeps

Noisy

138,200 Aufrufe • vor 1 Monat

The upcoming OpenAI's open model is mixture of expert model. They take their proprietary training process and train a model with an model architecture that only contains publicly well known model arch layers & optimizations similar. This allows OpenAI to keep their internal model architecture an secret while they open weight an SOTA model. Thus, none of their long context optimizations needed for acutal real world production serving are in the open model architecture. OpenAI has created multiple different sizes of open weights distilled o3 including an 120B param that fits on a single node and 20B param that fits on a single chip.
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The upcoming OpenAI's open model is mixture of expert model. They take their proprietary training process and train a model with an model architecture that only contains publicly well known model arch layers & optimizations similar. This allows OpenAI to keep their internal model architecture an secret while they open weight an SOTA model. Thus, none of their long context optimizations needed for acutal real world production serving are in the open model architecture. OpenAI has created multiple different sizes of open weights distilled o3 including an 120B param that fits on a single node and 20B param that fits on a single chip.

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80,891 Aufrufe • vor 11 Monaten

Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →
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Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →

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16,489 Aufrufe • vor 2 Monaten

He walked into a restaurant during a quiet Tuesday afternoon. He didn't pitch software. He showed the owner his phone. "Type an order like a customer would." The chatbot took the order, confirmed the table, logged it in a Google Sheet, and sent it to the kitchen in under two seconds. The owner asked how much. "$500/month. First month free. If it doesn't save your staff real time, you owe nothing." That conversation has played out 30 times. It closed 30 times. 30 clients. $500/month each. 4 hours of setup per restaurant. 93% margin. Over 1 million restaurants in the US. Fewer than 3% have this. He just keeps walking in during quiet Tuesday afternoons.
0:26

He walked into a restaurant during a quiet Tuesday afternoon. He didn't pitch software. He showed the owner his phone. "Type an order like a customer would." The chatbot took the order, confirmed the table, logged it in a Google Sheet, and sent it to the kitchen in under two seconds. The owner asked how much. "$500/month. First month free. If it doesn't save your staff real time, you owe nothing." That conversation has played out 30 times. It closed 30 times. 30 clients. $500/month each. 4 hours of setup per restaurant. 93% margin. Over 1 million restaurants in the US. Fewer than 3% have this. He just keeps walking in during quiet Tuesday afternoons.

Superior

835,231 Aufrufe • vor 1 Monat

i built a full game on a single GPU with a 3B model and this is the worst local AI will ever be. this was supposed to be a benchmark test. load the model, measure tokens per second, write it up, move on. instead i spent 20 minutes playing Octopus Invaders because the game is genuinely fun and i couldn't stop. a model with 3B active parameters built this from a single prompt. it debugged its own collision system when bullets were phasing through enemies. read the error, found the fix, kept building. this is not a frontier API. this is a quantized open source model running on hardware you can buy used for $800-$1200. no cloud. no subscription. no API costs. just a mass produced consumer GPU doing things that would have been absurd 12 months ago. and here's the part that should keep you up at night: every month the models get smaller and smarter. the quants get tighter. the context windows get longer. the tooling gets cleaner. what 3B active parameters does today on 24gb, a 1B model will do on 8gb within a year. you are looking at the floor. not the ceiling.
0:27

i built a full game on a single GPU with a 3B model and this is the worst local AI will ever be. this was supposed to be a benchmark test. load the model, measure tokens per second, write it up, move on. instead i spent 20 minutes playing Octopus Invaders because the game is genuinely fun and i couldn't stop. a model with 3B active parameters built this from a single prompt. it debugged its own collision system when bullets were phasing through enemies. read the error, found the fix, kept building. this is not a frontier API. this is a quantized open source model running on hardware you can buy used for $800-$1200. no cloud. no subscription. no API costs. just a mass produced consumer GPU doing things that would have been absurd 12 months ago. and here's the part that should keep you up at night: every month the models get smaller and smarter. the quants get tighter. the context windows get longer. the tooling gets cleaner. what 3B active parameters does today on 24gb, a 1B model will do on 8gb within a year. you are looking at the floor. not the ceiling.

Sudo su

36,251 Aufrufe • vor 4 Monaten

Alibaba just dropped a free AI that codes like a $150/hr developer. And it runs on your laptop. Qwen 3 Coder Next has 80 billion parameters but only uses 3 billion at a time. So you get massive model power with tiny model speed. The real kicker? It handles 256,000 tokens of context. That's your entire codebase. Every file. All at once. People are building 2D games in seconds. Full IDE integrations that write, test, and fix code automatically. Custom business tools without hiring devs. It works with OpenClaw, Claude Code, and every major coding tool. No complicated setup. Just download and go. Completely open source. Zero API queues. You own it. Your competitors are using this right now.
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Alibaba just dropped a free AI that codes like a $150/hr developer. And it runs on your laptop. Qwen 3 Coder Next has 80 billion parameters but only uses 3 billion at a time. So you get massive model power with tiny model speed. The real kicker? It handles 256,000 tokens of context. That's your entire codebase. Every file. All at once. People are building 2D games in seconds. Full IDE integrations that write, test, and fix code automatically. Custom business tools without hiring devs. It works with OpenClaw, Claude Code, and every major coding tool. No complicated setup. Just download and go. Completely open source. Zero API queues. You own it. Your competitors are using this right now.

Julian Goldie SEO

30,122 Aufrufe • vor 5 Monaten