CountAshura

cryptocurrency investor

[CountAshura @CountAshura]

@ShaazTopSpot @cryptofergani Why are you following him when you say you're tired of him? It's simple! Unfollow or block him. If you can't do it, you think you'll get something out of him. So stop whining.

[CountAshura @CountAshura]

@cryptofergani May God be with you
BkeQ9B42SNXhbBUoFBR1eCtRo5ZEsh4VBuNxLvyX8eoL

[CountAshura @CountAshura]

8/8

Will all future AI chips become ternary?

Not necessarily.

Today's entire computing ecosystem is built on binary CMOS.

But if AI keeps moving toward extreme quantization, specialized ternary ASICs may eventually make sense.

$Qubic #Qubic

[CountAshura @CountAshura]

1/8

Qubic founder Sergey Ivancheglo made an interesting prediction:

"AI ASICs will eventually become ternary."

Not binary (0 and 1). Ternary.

This could fundamentally change how AI chips are designed.

Here's why 👇

[Come-from-Beyond @c___f___b]

ASICs for #AI will be trinary.

[CountAshura @CountAshura]

7/8

Why does this matter?

AI is increasingly bottlenecked by:

• Power consumption
• Memory bandwidth
• Heat generation

Ternary AI ASICs could potentially provide:

⚡ Lower power usage
⚡ Smaller memory footprint
⚡ Higher chip density
⚡ Better inference efficiency

[CountAshura @CountAshura]

Think about $qubic's direction. It's not just profitability that Dogecoin is doing as much as $0.1. Do you think everyone's waiting is high profitability?

[Qubic @_Qubic_]

Weekend project idea.

If you have ever wanted to actually mine Qubic instead of just reading about it, the Qubic Mining Academy just got a refresh, and it now walks you through pointing an ASIC miner at a Qubic pool for Dogecoin.

It is free and written in plain language. What the hardware is doing, how the pool works, where the rewards come from, and the settings that keep you from wasting power. No prior experience assumed.

The reason it is worth your Sunday: mining on Qubic is not busywork.

The same machine earning you rewards is doing real computation for the network.

You are not burning electricity to prove a point. You are putting it to use.

[CountAshura @CountAshura]

People have already exceeded ChatGPT. If $qubic don't get past that, there's no investor. Of course, there's no news story before that. So, let's reveal a bamboo-like quantum jump or a Species growing up at an incredible speed.

[Qubic @_Qubic_]

In 1904 a psychologist noticed something strange in a classroom. The kids who were good at math were also good at music. And French. And almost everything else.

Skills that should have nothing to do with each other kept showing up together. He decided there was one hidden thing underneath all of it. He called it g.

That 120-year-old idea is now the sharpest way to see what is missing in ChatGPT. 🧵

[CountAshura @CountAshura]

@MBulut43665319 @_Qubic_ If you're right, what are you doing here?

[CountAshura @CountAshura]

Now don't speak directly, let them speak. Who are they? The media. You have something to show them. $Qubic

[Qubic @_Qubic_]

Energy was never meant to be wasted.

Qubic turns proof-of-work into the work itself: computation that trains AI with purpose. 

No staking. No idle burn. Just useful work.

This is not mining as you know it. It's Qubic.

Watch.

[CountAshura @CountAshura]

And in the future, miners and computors could contribute GPU compute toward AI evolution itself.

Bitcoin secures money.

Qubic wants to evolve intelligence.

$QUBIC #AI #AGI #CUDA

[CountAshura @CountAshura]

Qubic just made a major AI move.

Neuraxon now runs fully on NVIDIA CUDA GPUs.

This is NOT just a performance upgrade.

It means Qubic can move from:
• small CPU experiments
to
• large-scale GPU-powered evolving AI systems.

$QUBIC #AI #AGI #CUDA

[Qubic @_Qubic_]

Qubic Science has released CuNxon.

Full Neuraxon computation ported to NVIDIA CUDA kernels. Every operation a Neuraxon can perform, from spike propagation to plasticity to neuromodulation, now runs natively on NVIDIA GPUs.

Previously, Neuraxon research ran on CPUs. That was fine for the Game of Life simulator and the early parameter sweeps. It is not fine for what comes next.

There are roughly five million CUDA developers worldwide. Most of them work in machine learning and AI. As of this release, every one of them can build with, test, and extend Neuraxon using the same GPU toolchain they already know.

The practical path this opens: when the Aigarth evolutionary layer gets ported into the Qubic network, miners and Computors will be able to train and evolve Neuraxon populations using GPU compute, not just CPUs.

A single $100 GPU. Or a billion-dollar cluster. The library does not care. The code is open source.

[CountAshura @CountAshura]

The problem with engineers is that they make what they want, not what people want.

The same goes for showing.

This thread should be the main one. This is what people really want to know about $qubic.

🤣🤣🤣

[Qubic @_Qubic_]

Step one: Miners contribute AI compute to the network.

This is Useful Proof of Work. The computation is not arbitrary hashing. It is real AI training work (currently focused on the Aigarth evolutionary architecture).

Every miner's contribution is measured. Not estimated.

[CountAshura @CountAshura]

@Manu_Sisti DOC

[CountAshura @CountAshura]

My friend told me this.

"I heard you train AI at the same time as mining? Isn't that supposed to be a headline?"

That's why I told my friend.

"Hey Buddy, what can you do to a born child now? Buy more $qubic and chill"

🤣🤣🤣

[Qubic @_Qubic_]

DOGE mining on Qubic has been live for six epochs. Here is the trajectory, stripped to numbers.

• Epoch 207 (Week 1): 1.7 TH/s average hashrate.

• Epoch 212 (Week 6): 7.6 TH/s.

4.5x growth. Linear climb. Not a spike. A ramp. 🧵