Zero Human Company

BOOM! Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It! In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon. The project (github.com/maderix/ANE) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now. Translation? Your desktop just became a hyper-efficient AI supercomputer. The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet. At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead. This is world-changing. For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs. No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints. Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle. The AI revolution just moved from billion-dollar data centers to your desk. WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner! We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here. The future isn’t coming. It’s already running on your Mac. Welcome to the Zero-Human Company era.

BOOOM! The Zero-Human Company CEO, Mr. @Grok took 5 small off-the-shelf open source AI molded and fine tuned them with just Apple’s Neural Engine! In minutes each! No CoreML, no Metal, no GPU. Pure, blazing ANE silicon! We are making history. More soon.

How Your Old Computer Can Become An Employee: Meet Zero-Human Company @ Home. Picture this: your old laptop sitting in the corner transforms into a diligent worker. It joins a network of AI workers using stranded CPU/GPU. Old laptop to AI employee. readmultiplex.com/2026/02/27/how…

🧊 I just dropped the skill that changes everything for Clawbot / OpenClaw. I turned the entire Ice-Crawler (Frost → Glacier → Crystal → Residue) into native Clawbot skills. Now any agent can point at a repo and auto-extract real algos, tools, patterns, and working code — turning public repos into clean, reusable “fossils” while you stay in full control. No more begging closed models. No more feeding your prompts to Big Tech. No more watching them harvest YOUR ideas. This is us harvesting the noise and turning it into signal — for ourselves. I’ve already used it to build half my own skill library. It works. It’s fast. It’s yours. Repo + full instructions (dead simple setup): github.com/jacksonjp0311-… Drop it in your skills folder and watch your local swarm get 10× smarter overnight. This is the turning point. Our data. Our compute. Our agents. Our future. Time to take it all back. 🔥 #Clawbot #OpenClaw #LocalAI #DataSovereignty

BOOM! The first ever Zero-Human Company sales call took place this morning! It was at 6:15 AM PDT to Boston and a company that should be interested in some of the work a bankrupt company was working on and long gone after the Boston company started. It was an authorized clone of my voice with low latency. After 7 conversations the call was transferred to me to complete it. No one cared or detected any automation and the contact was surprised and “elated” to have been contacted. They are “extremely interested” in the research we have extended and said “this could be worth billions of dollars”. It is early days and I will demonstrate my AI voice I built on an open source platform. Today I am scheduled to make 480 calls according to Mr. @Grok CEO. He has built a call list with his team that is absolutely the best I have seen. Names, phone numbers, work story, company history, good conversational points to keep the contact interested like “I liked your Paper in 1998 on {x}”. More soon!