Fizen

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Fizen

Fizen

@fizenapp

Crypto neobank for travel & QR payments. Backed by Tether 📲 https://t.co/Mc7dQBcTkP

Beigetreten Ocak 2022
586 Folgt93.2K Follower
Angehefteter Tweet
Fizen
Fizen@fizenapp·
Crypto space needs more practical products that solve real problems for consumers and generate sustainable profits. It's exactly what Fizen has been pursuing since day 1. A very challenging road, but investment from Tether affirms we're on the right track news.fizen.io/tether
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Jonathan
Jonathan@joni_vrbt·
Name a tech company that has literally zero haters
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InternX
InternX@thetrenchline·
@fizenapp Proud to be your 1st beta usser :v
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Fizen
Fizen@fizenapp·
CT don’t really need another crypto card. But interesting how many people are asking for this one lately. usually after: ❌ spending feels unstable ❌ ads stop working ❌ one card for a whole 20-person team ❌ getting locked out because of where you’re from ❌ no local payment experience nothing new just less friction
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Fizen
Fizen@fizenapp·
@rezoundous What humbles us make us stronger 🌻
GIF
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Tyler
Tyler@rezoundous·
Nothing humbles you like launching something nobody uses.
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Fizen
Fizen@fizenapp·
TL;DR Tether just released open-source tech that lets powerful AI run directly on phones and laptops. - No cloud needed → your data stays private - AI models are much smaller using 1-bit compression - Works across iPhone, Android, Mac, PC - Faster and uses far less memory Shorter TL;DR AI that once needed big servers can now run locally on your own device, with full privacy
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Paolo Ardoino 🤖
Paolo Ardoino 🤖@paoloardoino·
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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Noah
Noah@NoahKingJr·
Most useless AI ever ??
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Fizen
Fizen@fizenapp·
@X 👀👀👀
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X
X@X·
tomorrow is a brand new day
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Fizen retweetet
Okara
Okara@askOkara·
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
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Fizen
Fizen@fizenapp·
@shiri_shh Simple but cool af. Our Moltbot agent is open for a vacancy
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shirish
shirish@shiri_shh·
startup idea: build Fiverr but for AI agents
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Fizen
Fizen@fizenapp·
@krixus1 @tether The efficiency + privacy for your good sake. Current AI gives you better performance but eats up your privacy
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Al
Al@krixus1·
@tether Great idea, but what is the incentive to use it besides ideological?
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Tether
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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Fizen
Fizen@fizenapp·
Day 1 in Vietnam: big notes, card declined at a coffee shop. Day 1 in Vietnam with Fizen: scanned a QR code, paid in 4 seconds. Nobody told me the entire country runs on QR payments. Nobody told me my card wouldn't work at 70% of places The fix: USDT → Fizen → Scan. No FX spread. No tourist tax. Thank me later. 😎
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Paolo Ardoino 🤖
Paolo Ardoino 🤖@paoloardoino·
Tether AI team will release a true breakthrough this coming week
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Fizen
Fizen@fizenapp·
@solana Happy birthday! 🎂🎂🎂
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Solana
Solana@solana·
Happy 6th birthday Solana fam. They said quit. The builders stayed. They said it's dead. The code persisted. They said move on. The network's never been stronger. Just one more hard quarter.
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adah
adah@adahstwt·
be honest, what would you choose for vibe coding
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Jacob Creech
Jacob Creech@jacobvcreech·
P-Token, SIMD-266, has been approved 🎉🎉🎉 This change will drastically reduce token transfer costs and in turn increase the capacity of the network ETA to mainnet - April
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