fsih

Biomedical scientist • building something better

[Garry Tan @garrytan]

In the AI revolution, low status and useful is where the alpha is.

Markdown files look like shit and have basically zero status. But they are insanely useful. Humans can read them, models can read them, agents can write them, diff them, transform them, chain them.

[Brian Roemmele @BrianRoemmele]

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 (https://t.co/jrk67hf9p1) 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.

[gucci @gucci]

In the #Gucci90x90 project, #YuCai reimagines #Gucci silks, exploring contemporary urban existence through vibrant, imaginative creations. #GucciTheArtOfSilk

Discover more https://t.co/sbXPp5ipJh

[CESS Network @CESS_Storage]

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[fsih @Fishfsih_]

@McDonalds Fries

[fsih @Fishfsih_]

@MagicEden Respond quickly to marketplace

[fsih @Fishfsih_]

@MagicEden 🫡

[Los Angeles Dodgers @Dodgers]

With his 49th home run, Shohei Ohtani ties Shawn Green with the most home runs by a Dodger in a single season!

[知识分享官 @knowledgefxg]

YouTube数据科学一条龙⬇️
数学 → 3Blue1Brown
Python → Corey Schafer
SQL → Joey Blue
Excel → ExcellsFun
Tableau → Tableau Tim
PowerBI → Guy in a Cube
机器学习 → sentdex
综合 → Leila Gharani

[爆サイ.com【公式】ツイッター @bakusai_x]

河野太郎さん。ついにTikTokに降臨する。。。

[Framer 🇱🇹 @Framer_X]

I put myself into a Midjourney picture 🤯

I still can't believe how easy it was!

Here’s what I did:

[fsih @Fishfsih_]

@yucai_yu @thechiefnoodle Happy Chinese New Year!

[fsih @Fishfsih_]

@yucai_yu @wartimecapital @foundation 農曆新年快樂！

[fsih @Fishfsih_]

@yucai_yu @0x113d GM ！

It's almost the Lunar New Year of the DRAGON 🐉!

[fsih @Fishfsih_]

@yucai_yu GM !!!

[fsih @Fishfsih_]

@yucai_yu GM ! 🐠 🐟

[fsih @Fishfsih_]

@yucai_yu Good morning !

[fsih @Fishfsih_]

@yucai_yu Thank you! You too!

[fsih @Fishfsih_]

@yucai_yu GM !!!