Alphas in Valhalla ⚔️
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Apes Together📈, Strong Together 🦧 💪

For enquiries, Dm @ironsidenoble or @IamNobleIronside (ALT acc)

Twitter: https://x.com/NobleIrons7de
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And what's next in line of the lore... $SQUANT 👍
Losers and Fadoors Explain, Winners... we just keep winning 🤷‍♂
$ATBASH was created 1 day 22hrs ago

$SQUANT 1 day, 7hours ago

Still fresh launches with crazy momentum to run
Oh shiiii... $SQUANT next
KAPO bullish on $VEILNET

He says y'all should sell off so real chads get in
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Happy I'm not close to such cos imma send thugs to beat them up
Strong support for $SQUANT
Think we pick up again from here

I've shared my view on it already

It's left for you to ape and chill, or fade and probably save yourself from the mental strain we may pass through to see this run 😂
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People always tend to forget it's also stressful to bagwork. It's alot of mental stress and strength drained from you trying to keep your sanity together as you see your bags rise and fall, sometimes due to factors we can't figure out.

Yesterday, $AGENT ran from sub 200k to 780k last night.

$VEILNET was also shared at 200k here, and it ran as high as 600k+ last night (Even tho i have got way much higher targets for it, and I've mentioned why), yet someone was asking when it dumped a bit..."How's $VEILNET looking bro".

Man didn't come to say hey, thanks for the 3 to 4x on $AGENT, but the moment there was a slight dump on $VEILNET, he rushed to dms.

If we check carefully, he probably has not even supported his bags with a mention or RT or at least bagwork even 20% of how i bagwork on my bags.

Can decide not to share anything and i will still print. I've got good quants that share me stuff that i don't even need to say anything on and it will run with time🤷‍♂.

I share so y'all will have some skin in the process; the wins, the loss, the profits, the heartbreaks, the betrayals from team, the good times and bad times, the emotions, the mental stress also.

Best you know what the game is like instead of feeding off my own energy and mental strength.

When you ape a coin you think is good, bagwork yourself and don't run to dms to ask unnecessary questions.

Best you can even do is sell off, so if it pumps it pumps without you.

Selah 🙏
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Y'all have traded with me on Base for so long to be chicken hearted 😭

Base token dips are quickly eaten if it's a strong project

They run fast too when it's their time

Your job is to ape the right ones
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V1 of $LITCOIN SCALING ACRHITECTURE is Live

The signs are confirming themselves.

Soon giga dildo candles will be everywhere on the chart
Loading more $SQUANT

Almost 2 days old

You should be scared of tokens holding this fine and acting like they've got a shitty price action.

Next thing you'll see is heavy candles on the chart to the upside
If you're gonna be fading $SQUANT, then you best make sure you've got a real good replacement play for it else the cope will be a top one
Do you know what it means for sentra app to eclipse an already existing GoogleResearch's TurboQuant tool with its new innovation "SpectralQuant"


SQUANT is SpectralSquant

https://x.com/i/status/2056482023611457704
SpectralQuant (often stylized as Spectral Quant) is an open-source KV cache compression method for large language model (LLM) inference.

It dramatically improves efficiency by exploiting a surprising structural property in how transformers store information in their attention mechanism.

It even builds on Google's TurboQuant, so this is more like an improvement to Google's existing model for LLMs, but adds three targeted, low-cost changes using the spectral structure.

The Problem SpectralQuant is here to solve?

During LLM inference (e.g., when generating text), the KV cache stores key and value vectors for every previous token.

This cache grows linearly with sequence length and quickly becomes a major memory and speed bottleneck, especially for long contexts or high-throughput serving.

Prior work like TurboQuant (from Google researchers, ICLR 2026) introduced a strong data-oblivious compression method that achieved ~5.02× compression while preserving quality. It was proven to be near the theoretical limit without looking at the actual data.

The Icing on the Cake 🎂?

SpectralQuant's breakthrough comes from analyzing KV cache key vectors across six models and four architectures (Qwen, Llama 3.1, Mistral, Gemma 2).



Now this is tokenized?
Imagine if creator says he wants to integrate the token with the utility, claims fees and updates dex?

Then Hooola Balooooo, we gonna run so hard, and creator from what i heard is a crypto-oriented person 😊👍
$SQUANT $SQUANT $SQUANT