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📣 Testnet Phase 3 is LIVE! 🥳
Disclaimer in Expanded Bio.
🚨 BREAKING: $GNUS FORESHADOWS BETA 3.6 RELEASE AHEAD OF MAINNET:
In a major new update, $GNUS CEO Kenneth Hurley has announced that $GNUS is closing in on releasing its much anticipated Mainnet.
“Beta 3.6 is shaping up to be our strongest version yet,” Mr Hurley wrote.
Two final pieces remain before $GNUS can launch the network’s Mainnet. The first is to do with ETH P2P bridging. On this, after recent testing, 441/441 tests were successful, an encouraging fact.
The second is to do with the network’s consensus engine, which is receiving final polishes.
“Once complete, if no surprise bugs appear, we’ll be ready to release and go live – games, wallet, the whole ecosystem,” wrote Mr Hurley.
“Thank you for the energy and patience. We’re so close.”
Internal team sources are confirming that this is an accurate reflection of the project’s status, and that more exciting updates are on their way.
$GNUS is building a decentralised ecosystem that turns unused GPU from computers, phones and gaming consoles into a global network for processing AI and machine learning requests. Devices powering the network earn $GNUS tokens.
Watch this space. It may very well be $GNUS season again.
For more information, check out @GnusAi.
Everyone's euphoric about $TAO and the Covenant-72B breakthrough.
But $TAO starts to tackle only one problem: decentralized training at scale.
$GNUS is solves problems $TAO can't even touch.
Let me explain 🧵👇
@ZssBecker It's time, yes.
Altcoins are positioning themselves to smash above Bitcoin.
In particular, AI, DePIN, DeFi and gaming projects are going to be huge (and won't ever stop being huge from now on, either).
Considering $GNUS is all four...
@brian_armstrong Honestly, that's how it's felt for $GNUS. Exploits, delays, crypto in general. It happens. It's been incredible to watch the team's resilience throughout. Now mainnet is closer than ever.
https://t.co/UCp9KARZm7 is in discussions with family offices and businesses exploring how decentralized compute can reduce AI infrastructure costs by 80–90% compared to traditional cloud providers.
Lower operating costs mean higher margins, stronger profitability, and greater long term shareholder value for companies integrating AI into their operations.
Decentralized infrastructure.
Enterprise level efficiency.
AI adoption without the traditional cost barrier.
This is where real world integration begins.
So, $GNUS isn't competing.
It's disrupting.
For more, check out @GnusAi.
And join our telegram: https://t.co/19x3k52aA2
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Everyone's euphoric about $TAO and the Covenant-72B breakthrough.
But $TAO starts to tackle only one problem: decentralized training at scale.
$GNUS is solves problems $TAO can't even touch.
Let me explain 🧵👇
If both networks 10x their usage by 2030:
$TAO is locked in. Halving schedule remains unchanged. Slow deflation.
But deflationary pressure accelerates with $GNUS. A 10% burn on every transaction compounds, hard.