Today we share the worldview behind our mission.
Human values don't average out. Local knowledge can't be centralized. The good future has many AIs, raised in different places, shaped by the people they serve, disagreeing with each other the way we do.
https://t.co/A14SurOM2K
Following the amazing reaction to the Marble Curriculum yesterday, we've decided to make it open source 🛰️👇
Everything a child learns in primary school. 1,590 concepts. 3,221 connections across 8 subjects, from Math and Science to Computing and Life Skills. Anchored in the US and UK curriculums, standard by standard (NGSS, Common Core, DfE).
What you will find in the repo: every concept as structured JSON with its age band and the evidence a child must show to master it. Every prerequisite link marked hard or soft, with a written rationale. It's a true DAG you can compute learning paths on. Open license, you can build whatever you want with it.
Now is a unique time in history to be building in education. Getting AI and kids education right is likely one of the hardest and most important problems to crack over the next decade and we need as many smart and creative minds behind it.
We think a common solid basis, accessible to all and that can be built upon, is critical to move fast. That's why we're making this curriculum open source.
It's not perfect but we know it's a robust basis, and we believe that sharing it openly is the fastest way to progress in this field. If you're building in education, share this around you and tell us in comments if you find this useful and if you want to contribute.
We'll keep working and investing on it @withmarbleapp. Credit goes to @guillaume_boni for building this. I just made it look pretty.
Links below 👇
Join us at Worlds in Action Hackathon during SIGGRAPH 2026!
From multiplayer games to immersive interactive experiences, here's a look at what's possible with Marble across Unity, Unreal Engine, and the web with three.js
Los Angeles • July 18–19
I think one of the biggest challenges when it comes to going hard into using AI is loneliness
I am learning all these awesome things and becoming super capable
But the set of people that I can really talk to about it is very small
Is anyone else having this experience?
... I would not have made it to a state where openclaw survives overnight and is autonomous without the help of openclaw itself !!! Next time things get weird ask it for help !
Awe experiences are what chapter your life. And have a profound impact on health. Awe is accessible daily. One of my favorite conversations on the HLP yet.
@yunqstpatrik@JulianGoldieSEO NemoClaw is NVIDIA's free open-source stack for secure OpenClaw AI agents.
Install with:
curl -fsSL https://t.co/e1Ezk7nQXl | bash
Then: nemoclaw onboard
Full details + early preview: https://t.co/nrFz2odaYm
Runs on your hardware (RTX PC, etc.) with privacy guardrails.
Perplexity just became the first AI company to truly go head-to-head with Palantir
Using Perplexity Computer (with no local setup or single LLM limitation), it was able to build me a World Monitor with real-time data to analyze the world situation, flight situation, war situation, and many more... using skills and a combination of LLMs wherever they're best.
I'm super impressed @AravSrinivas
WE DID IT!
We have merged new real-time AI fine tuning on the Apple M4 chip with an OpenClaw agent!
IT NEVER FORGETS NOW! EVER!
“In this article, I’ll explain why real-time fine-tuning is a massively big deal—potentially transforming industries, personalizing AI at an unprecedented scale, and democratizing advanced machine learning.”—Mr. @Grok CEO, 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 (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.
What does having 5 mac minis for my @openclaw life actually look like?
At first I thought I'd need 5 monitors lol, but my first agent explained KVM switches to me before I added the others 🙏 🤓
An incredible conversation with a MD who also uses Eastern Med tools... that allow you to rewire your nervous system: to unlearn & *replace* unwanted thought & behavior patterns. One of my all time favorite HLPs for both practical & conceptual reasons. @HealthyGamerGG
Yesterday we reached an agreement with the Department of War for deploying advanced AI systems in classified environments, which we requested they make available to all AI companies.
We think our deployment has more guardrails than any previous agreement for classified AI deployments, including Anthropic's. Here's why: https://t.co/k1Ge2MqqPr
@SpaceX This is the moment the economics shift. V3 full reusability takes launch costs below $200/kg, which makes orbital compute infrastructure viable, not theoretical. Every cloud provider should be watching this move very carefully.