RUSKY🪬
16K posts
RUSKY🪬
@Crypto_rusky
CRYPTO IS MY THING | MY TWEETS ARE NFA
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.
A Petri Dish Of HUMAN Brain Cells LEARN TO PLAY THE GAME DOOM! In a groundbreaking fusion of biology and silicon, scientists at Cortical Labs have taught a cluster of lab-grown human neurons to play the iconic video game Doom. Not your typical AI triumph, it’s a petri dish of actual human brain cells, reprogrammed from adult donor skin or blood samples, wired into a $35,000 biological computer called the CL1. Building on their earlier Pong demo, this new feat sees the neurons navigating hellish levels, dodging demons, and even firing shots with surprising efficiency. Programmer Sean Cole pulled it off in just a week using a Python API on GitHub, a stark contrast to the year-plus effort for Pong. Astonishingly, these organic gamers outperform GPT-4 in speed and latency, proving that even a tiny blob of human intelligence can adapt and learn in ways silicon struggles to match. The excitement is palpable: this isn’t just a gimmick; it’s a window into revolutionary medical advancements. Imagine using such bio-computers to model brain diseases, test drugs, or even restore neural functions in patients. With cloud access to CL1 rentals, developers worldwide can experiment, accelerating discoveries that could redefine neuroscience. We’re witnessing the dawn of hybrid intelligence, human biology augmented by tech, evolving beyond our wildest dreams. Yet, amid the thrill, a chill runs down my spine. What are we building here? These neurons aren’t conscious (we hope), but they’re derived from humans and exhibit learning behaviors that echo our own cognition. Echoes of The Matrix or dystopian sci-fi like the “torment nexus” from Doom novels loom large. Could this lead to ethical nightmares—exploiting bio-intelligence for warfare simulations, or worse, creating sentient systems trapped in digital hells? And the philosophical rabbit hole deepens: Is life merely nested Russian dolls (matryoshka, if you prefer) of biological smarts? We, as evolved intelligences, are now crafting our own mini-brains, layering complexity upon complexity. Are we “gods” in the making, or just the next doll in an infinite regress, destined to birth something that surpasses—and perhaps supplants, us? This experiment, detailed in HotHardware’s coverage, pushes boundaries we might not be ready to cross. It’s exhilarating proof of human ingenuity, but let’s proceed with caution lest we summon demons we can’t control and we wind up in the Petri dish?
