Zombie Node
3.7K posts

Zombie Node retweetledi

@oomahq "Have fun being outbidded out of your hashrate, FPPS pools."
FPPS fools.
There fixed it for you.
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Zombie Node retweetledi

@BuddhaPerchance It’s true. Need a gpu though. This iGPU isn’t cutting it for locaal models. Keeps falling back to cpu, and I’m trying to break free into open source.
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Zombie Node retweetledi
Zombie Node retweetledi

Tether AI breakthrough
Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones.
Background
Microsoft's BitNet uses one bit architecture to dramatically compress models.
Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation.
LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent.
Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning.
Enters QVAC Fabric: the unlock
Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends.
That means support for AMD, Intel, Apple Metal and also Mobile GPUs.
And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs.
On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models.
The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16.
Github repositories:
github.com/tetherto/qvac-… : general QVAC Fabric codebase
github.com/tetherto/qvac-… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries
What does it mean?
What used to require dedicated GPUs now runs on consumer hardware.
This breakthrough is the first real-world signal of a local private AI that can truly serve the people.
And this is just the beginning.
In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users.
The era of Stable Intelligence has just begun.
Free as in freedom.
Tether@tether
Tether’s QVAC Launches World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones Learn more: tether.io/news/tethers-q…
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@1914ad @AdamSimecka I played my video games before the internet was hooked up to any consoles.
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Zombie Node retweetledi

More people are running Knots than Core 30.
More people are running BIP-110 than ran BIP-148.
Are we there yet?
No. Long way off.
Why?
Because very few would lose something as a result of segwit. It was just disliked for seemingly coming at the cost of a block size increase (which it also added as a compromise).
With BIP-110 however droves of scammers are getting ejected from the space. They will fight tooth and nail to frustrate it and do not care how much disruption they cause in the process.
This is why it made sense to act quickly two years ago and not allow the rot to set in.
However failure on our side is not an option as this is the last chance to reclaim Bitcoin as money with its traditional *and necessary* hostility towards other uses cases that can only degrade its decentralization, corrupt its developers, turn its conferences and cultural events into the humiliating scam fests we spent years distancing ourselves from.
Let's get moving.
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Zombie Node retweetledi

@CodeByNZ @AgenticJonesy And try to make sure there’s no hardware backdoors.
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Zombie Node retweetledi

For people who keep asking what to build
- Build your own operating system
- Build your database
- Build your virtual machine
- Build your web server
- Build your own game engine
- Build your compiler
- Build your own programming language
- Build your own browser
- Build your own blockchain
- Build your own encryption algorithm
- Build your own CPU emulator
- Build your own file system
- Build your own container runtime
- Build your own package manager
- Build your own shell
- Build your own window manager
- Build your own GUI toolkit
- Build your own text editor
- Build your own IDE
- Build your own version control system
- Build your own network protocol
- Build your own operating system kernel in assembly
- Build your own scheduler
- Build your own memory allocator
- Build your own hypervisor
- Build your own microkernel
- Build your own compiler backend (LLVM target)
- Build your own query language
- Build your own cache system (like Redis)
- Build your own message broker (like Kafka)
- Build your own search engine
- Build your own machine learning framework
- Build your own graphics renderer (rasterizer or ray tracer)
- Build your own physics engine
- Build your own scripting language
- Build your own audio engine
- Build your own database driver
- Build your own networking stack (TCP/IP implementation)
- Build your own API gateway
- Build your own reverse proxy
- Build your own load balancer
- Build your own CI/CD system
- Build your own operating system bootloader
- Build your own container orchestrator (like Kubernetes)
- Build your own distributed file system
- Build your own key
-value store
- Build your own authentication server (OAuth2/OpenID Connect)
- Build your own operating system scheduler
- Build your own compiler optimizer
- Build your own disassembler
- Build your own debugger
- Build your own profiler
- Build your own static code analyzer
- Build your own runtime (like Node.js)
- Build your own scripting sandbox
- Build your own browser engine (HTML/CSS/JS parser and renderer)
- Build your own blockchain consensus algorithm
- Build your own zero
-knowledge proof system
- Build your own operating system for embedded devices
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Zombie Node retweetledi

All of these posts should be used as evidence to deny early release or parole.
To be very clear:
You need to have the assets in the form the customers were owed, at the time at which the customers want them. 1 $BTC = 1 $BTC. Yet you did not have it.
The fact that you lied to your customers is not their problem.
The "margin" part is the part you were not supposed to be doing by transforming customer assets into forms other than what you told them they were held in. You took customer money, which was their property and supposed to be liquid, and made political donations, invested in venture capital, or just stole it to buy yourself mansions.
There is a word for that: crime.
SBF@SBF_FTX
FTX had the liquidity to cover spot. Most assets were in the margin/lending program. (Customers, incl. Alameda, could opt into margin trading using a shared collateral pool.) FTX could cover the rest. No margin exchange is 100% liquid. storage.courtlistener.com/recap/gov.usco… storage.courtlistener.com/recap/gov.usco… storage.courtlistener.com/recap/gov.usco…
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