$2,800/month to a GPU rental company. now $8 of electricity. a $1,499 AMD box Strix Halo, 128GB unified memory, 70B models on your desk. most AI consultants rent cloud GPUs and hand 60% of every invoice back to Lambda. the box didn't "make money." it turned a 30%-margin reseller into an 80-90%-margin product. what actually changed it's not the box, it's what the box lets you sell: / one client's cloud bill went $2,800 → $8. same $4,200 invoice. margin tripled overnight. / migration was one line point the OpenAI client at localhost, zero app logic changed / the real unlock is the pitch: "your data physically lives in your office. not OpenAI's, not mine." / lawyers, dental, finance the NDA clients who can't touch cloud AI sign on that one sentence cloud AI consulting is freelancing where the rental company takes the cut. local AI consulting is a product at 80-90% margin with an argument nobody else can offer. the box paid for itself in ~2 weeks. the business model is the actual $47K.

Elon Musk just became the world's first trillionaire. The typical American household would have to work more than 11 MILLION years to make Elon Musk's level of wealth. We need a wealth tax.

the year is 2028. claude infers whether you’ve ever even thought about gradient descent and silently routes your queries to Claude Sisyphus, a model RL’d to maximize engagement while avoiding task completion. you spend your entire UBI token allotment on it without ever realizing.

This is $ZEC founder btw

HE SPENT DAYS TESTING MAC MINI 16G AGAINST RTX 4070TI ON LOCAL AI - AND THE HONEST NUMBERS ARE NOT WHAT ANYONE WANTS TO HEAR two setups, same model - Mac Mini 16G vs RTX 4070Ti 12G running Qwen 3.5 9B - the best model that actually fits on either machine - Qwen 3.6 doesn't even load 4070Ti hits 65 TPS - Mac Mini hits 12 TPS and thinks for 2 minutes per response - both machines completely maxed, 4070Ti temperature jumped from 40°C to 60°C he plugged the 9B model into Claude Code - tools don't work, basically useless for anything agentic the real number nobody talks about - for Mac Mini to handle actual agentic workflows you need 48G memory and a 27-35B model with MLX - hardware that starts at $2,800 and up his verdict after days of testing: local models eat money, eat time, small models are too weak and large models need a budget most people can't justify short term - he's done with local models most people think "I'll just run it locally" - he actually did it and the math doesn't work

DANIEL CHEN RACKED 1,000 MAC MINIS INTO A FULL AI DATA CENTER. ONE $599 BOX KILLS A $200/MONTH SUBSCRIPTION daniel was paying $14,000 a month renting H100 servers in the cloud for his AI startup, the quality was magic but the burn rate was killing the runway he did the math on running it locally and bought 1,000 mac mini m4s, racked them into a single facility pulling less total power than one nvidia server while delivering the same throughput the mac mini m4 starts at $599 one time, pulls 10 to 20 watts running 24/7, and costs $3 a month in electricity while a windows AI machine doing the same job costs $30 to $50 a month just to stay on ollama added support for the anthropic messages api in january 2026, so claude code itself connects to your local mac mini with one environment variable, same interface, zero API costs apple stores ran out of mac minis in 2026 because $599 one time beats $200 a month forever, that shortage is the most honest product review any machine has ever received the window is open, follow and bookmark before it closes.