
Decentralised AI Compute & Infrastructure for Agent Sovereignty. https://nitter.gq/t.co/THBhfcnaZg | https://nitter.gq/t.co/aG7osA3OQZ by @ehlabs_xyz
Joined December 2025
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Introducing Singularity xMESH 0.8B, the first ever open-weight decision model built for x402.
Fine-tuned to pick the right x402 endpoint for any task, from a single call to a complete multi-step flow.
On complete x402 flows, xMesh gets 80% exactly right where Jev gets just 11.25%, that too in just 0.31 seconds.
That's 7x better than Jev.
Introducing video models in Singularity Node app.
Type a scene and generate a short video right on your Mac.
100% local and free.
▫️ Image and video generation, all in one place
▫️ Bigger Macs unlock bigger models, including Wan 2.2 and LTX-2.3
▫️ Generate from text, or turn an image into a video
Beta is live today on Apple silicon Macs.
Windows and Linux with NVIDIA support coming next.
Read More:
x402layer.cc/blog/local-vide…
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Download App: cloud.x402compute.cc/network…
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The Singularity Layer retweeted
Local AI solves all the problems.
Yesterday, my brother wanted to use AI, but he’d already exhausted all his limits and was getting frustrated.
I told him to run local AI on his 48GB MacBook Pro.
He said it sounds complicated. Downloading models, setting up inference, managing tool calling, all of it.
So I showed him the @x402_Layer Singularity Node App.
Now he has unlimited access to powerful AI, 100% local, comfortably running a Qwen 30B model at lightning-fast speed with @opencode.
Kinda magical how we can now generate intelligence from literal silicon.
There is finally a use case for the Fly Brain. 🪰
Singularity Layer App now comes with a pet fly inside.
It can see, smell, hear, react, and even feel hunger and affection.
You can even train it to do different tasks by giving it treats.
It comes with brain presets for things like:
• cleaning your desktop
• keeping folders clean
• reminding you to take breaks
• or just keeping you company
Download or update the free Singularity App and get your own Fly Pet on your desktop. 🪰
cloud.x402compute.cc/network…
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The Singularity Layer retweeted
There’s a real fly trapped inside my Mac. 🪰
But at least I can train it and put it to work, like keeping my downloads clean or reminding me to take breaks.
Singularity Node UI Client is live for Linux Now.
Download for Mac, Windows or Linux.
cloud.x402compute.cc/network…
It’s super intuitive and easy to run image models locally and create images with Singularity Node App.
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Introducing Image Creation on Singularity Node.
Create images locally on your Mac, or serve image to the Grid and earn when you’re not using it.
▫️ Text to image
▫️ Image to image
▫️ Background removal in seconds
▫️ Upscaling upto 8x
▫️ No content filters
▫️ Flux, Z-Image, Qwen and more with one-click install
This update also adds chat history, pinned chats, groups, and image input in chat.
Support for Apple silicon Macs is Live today.
Windows and Linux with NVIDIA coming soon.
Read More: x402layer.cc/blog/image-vide…
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Download the App: cloud.x402compute.cc/network…
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The Singularity Layer retweeted
Singularity Layer App update incoming..... 👀
Let's make local ai more accessible to everyone.
Local AI is actually the best way to allocate scarce resources.
And we have the proof.
Singularity Layer lets anybody run local models in one click.
People can use their GPUs when they need them.
Or serve inference and earn when they don’t.
▫️25+ models.
▫️700K+ requests.
▫️615M tokens processed.
The problem isn’t local GPUs. It’s idle local GPUs.
and we’ve been putting them to work for months.
sam: local inference is a terrible allocation of scarce resources
“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre
but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time
you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment
somehow many people's intuition is the opposite of that”
The Singularity Layer retweeted
Hard disagree with Sam saying local inference is a terrible allocation of scarce resources.
There are already obvious solutions like @x402_Layer, @AntSeed and @darkbloomai that let you run local models in one click and earn by serving inference when you’re not using the compute.
We’ve been doing this for months.
When a problem looks hard, we don’t just accept the constraint.
We go one layer deeper and find a better system.
At least that’s what I’ve learned from building in this space for almost a decade.
sam: local inference is a terrible allocation of scarce resources
“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre
but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time
you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment
somehow many people's intuition is the opposite of that”
The Singularity Layer retweeted
I love to build beautiful login pages.
Singularity Cloud Network UI/UX Updates incoming...
The Singularity Layer retweeted
What's ElevenLabs?
Create speech from text, design custom voices, or clone any voice. 100% local. Free. No subscription. Ever.
Introducing Voice Studio in Singularity Node App.
Create speech from text, design custom voices, or clone any voice.
100% local. Free. No subscription. Ever.
TTS models are also coming to Grid, so you can serve them & earn from your Mac.
And yeah..
this voice isn’t mine. 😉
Download the free desktop app:
cloud.x402compute.cc/network…
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