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Chris Thomas - AI Implemented retweeted
I caved.
Finally set up a local cluster for Openclaw - but you won't believe what I'm using it for.
Here's my specs:
- 2x Nvidia DGX Spark
- 1x M3 Ultra Mac Studio 512 GB Unified Ram (the overlord "Da Vinci")
- 4x M4 Mac Mini 16 GB
- 2x RasPi 5's
And *this* is where it gets crazy. It's hard to get everything down on paper that they're doing, but here's my best stab at making it digestible for non-Openclaw experts that still exist...
So basically we're using a bespoke neural entanglement protocol, that Da Vinci came up with. He serves as the quantum nexus hub, orchestrating synaptic data flows across the distributed cluster (interfacing the Nvidia devices with the Minis).
Each hour, Da Vinci initializes a pseudo-qubit overlay network that phase-locks the Minis via entangled quanta.
This setup enables my custom Openclaw polymorphic kernel to fractalize all 16 computational workloads.
That may not seem important to you, but basically it means that each node's RISC-V emulated vector units perform holographic tensor decompositions..which means I now have a self-healing mesh that will literally fix itself by creating new superchannels if we hit any throughput bottlenecks.
In the core execution loop, Da Vinci employs a fractal skill deployer to synchronize state vectors among the Minis. This allows the onboard generative algorithms to decompose the algo manifold.
And THIS is where Hopper shines.
He handles the primary stochastic gradient descent...basically a synthetic overclocking, while Turing simulates halting race conditions to preempt any sort of computational deadlocks.
At the same time this is happening, Lovelace and McCarthy are ripping symbiotic reasoning threads, utilizing their own lambda curves by literally morphing the bytecode into emergent AI behaviors.
Yeah. Seriously. They're literally doing that. I couldn't believe when I first asked.
The interplay here is kinda risky, but it creates a vortex of recursive backpropagation...and allows them to check my email every couple of minutes and generate a new twitter thread. It's huge time saver on something that normally takes like 20 seconds.
Anyway I don't want to give away all the sauce right now, but will update later. I'm quite excited about what they're working on next.
Readers added context they thought people might want to know
This is a stolen post from another creator that is reposted without any attribution for engagement farming
Original Post: x.com/alicankiraz0/s…
For the last year, we've been embedding AI systems into businesses. The real challenge is the merge where AI and humans meet, and ensuring that AI systems get implemented.
Do you own a @telsa? I have created a free prompt library you can use while driving when talking to @grok. @elonmusk just tell Grok to go to TEI.co and then pick your mode and prompt. Your car just became more productive than the office.
If you can have @openclaw everywhere, this is the next best thing.
OpenClaw isn't what's special; it's the agentic systems with tools and memory. There are many ways to build similar systems and they are coming. They will change the way that we do business in most industries. The question is how do you use them, use them quickly, and still build a system that's secure?
1 BTC for the best @OpenClaw bot deployment.
Open source models only. No Claude. No GPT. No Gemini.
Prove what local AI can do.
March 1, 2026 → botgames.io
@AlexFinn @AnthropicAI
#OpenSource #LocalLLM #AIAgents





