Bitilionaire
41.2K posts


Glad you are taking another look. Here is what you will find.
PaaLLM-0.6 is a crypto native LLM with a 1 million token context window pulling live on-chain data, governance proposals and market feeds simultaneously in real time. Not a wrapper on top of ChatGPT. Built from the ground up for Web3. It currently benchmarks number 1 in accuracy for crypto topics beating ChainGPT and ASI.
PaalX is an AI trading layer that executes natural language commands across multiple chains with stop-loss, limit orders and portfolio tracking built in. It crossed $50M cumulative trading volume.
The staking contract distributes ETH automatically to every staked address proportionally. No manual intervention. No selection. The code executes it. Over $5.5M in ETH distributed on-chain to date.
IBM watsonx is a development partner. Nvidia Inception Program member. Binance Alpha tagged. Multi-chain across Ethereum, Base and BNB.
All of this is sitting at a sub $20M market cap right now.
You did your research last year. The project has shipped more in the last 12 months than most AI tokens have in their entire existence. Whatever you found then is outdated. The version of PAAL you are about to look at is a completely different animal.
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Good framework. But it is missing a layer.
$TAO owns the incentive layer. $RENDER owns compute. $FET owns agents. $ICP owns applications. $NEAR owns abstraction.
None of them own the intelligence layer. The part that actually reads on-chain data, understands tokenomics, interprets governance proposals, executes trades and communicates all of it in natural language across every chain simultaneously.
That is what $PAAL is building.
PaaLLM-0.5 is a crypto-native LLM with a 1 million token context window pulling live data directly from CoinGecko, on-chain sources and governance protocols in real time. It ranked number 1 in accuracy for crypto topics at launch, beating ChainGPT and ASI. PaaLLM 0.6 then merged discovery, trading, research and communication into a single conversational interface across chains. IBM watsonx is a development partner. Nvidia Inception Program member. $50M trading volume on PaalX. $5.5M in ETH distributed to stakers on-chain.
All of this at a sub $20M market cap.
You correctly identified five infrastructure layers fighting for a $4.8 trillion pie. The intelligence layer that connects all of them and makes them usable by everyone is still wide open. $PAAL is the only project building it natively for Web3.
Screenshot this one too.
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The AI token market is $47 billion.
The global AI industry is supposed to represent is $4.8 trillion.
That is a 100 to 1 gap between the on chain economy and the off chain reality it is building infrastructure for.
Every time a company pays for cloud computing, that gap gets smaller.
Every time an AI agent runs a task on a decentralised network, that gap gets smaller.
Every time a government or institution formally recognises a token like $ICP or $TAO in legislation, that gap gets smaller.
The question is not whether decentralised AI infrastructure has value.
$4.8 trillion in the traditional economy already answered that question.
The question is how much of that value eventually flows on chain, and which tokens are positioned directly in its path when it does.
$TAO owns the incentive layer for decentralised AI intelligence.
$RENDER owns the GPU compute layer.
$FET owns the autonomous agent layer.
$ICP owns the on chain application layer.
$NEAR owns the chain abstraction layer.
Five different infrastructure layers. Five different tokens. One $4.8 trillion industry flowing toward all of them.
The math is not complicated.
The patience is the hard part.
Screenshot this.

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Bitilionaire retweetledi

@Cryptogains9 @PaalMind Everyone’s picking $TAO and $RENDER but sleeping on $PAAL. Web3-native LLM (PaaLLM-0.5) ranked #1 accuracy for crypto topics. $50M+ trading volume on PaalX. In Nvidia’s Inception Program. Sub-$20M mcap. If AI narrative runs, this is your asymmetric bet.
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Bitilionaire retweetledi

🔥 I Now Own Paal Ai! - One Of The BEST Ai/BUZZ Coins TO MOON HARD Next Bull Run!
youtu.be/6gVHYDWtKKY
@PaalMind #ai #crypto #crypto

YouTube
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Bitilionaire retweetledi

Every claim you have made has been a distraction from one fact you cannot answer. The ETH distributions are executed by a smart contract. Code does not have favourites. It cannot select bot wallets. It cannot fake recipients. It pays every staked address proportionally, automatically, and permanently recorded on the Ethereum blockchain. You have had 3 chances to show one wallet address, one transaction, one piece of evidence. You have shown nothing. The chain does not lie.
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@bitilionaire Go check the tweets that they do on X when the rewards are distributed. All of those X accounts are bots. Just check and get back to me.
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Bitilionaire retweetledi

@CadeONeill The smart contract distributes ETH automatically to whoever is staked. The team cannot manually choose who gets paid. That is literally how smart contracts work. You are describing a technical impossibility. Show me the wallet addresses or you have nothing.
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@bitilionaire They send those to their own bot wallets, go check the distribution wallets, and the X bots that share their rewards on the day of the distribution.
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Grayscale rebalancing into $TAO makes sense for a fund managing billions. They need large caps with liquidity. But that same logic is exactly why they cannot hold $PAAL.
The asymmetric opportunity is always in what institutions cannot touch yet.
$PAAL is building actual Web3 AI infrastructure. They shipped PaaLLM-0.5, a native crypto LLM that ranked number 1 in accuracy for crypto topics with a 4.26 benchmark score, beating ChainGPT and ASI. They built and launched PaalX which crossed $50M in cumulative trading volume. They distributed over $5.5M in ETH directly to stakers through an on-chain automated mechanism, verifiable on Etherscan right now. They are in the Nvidia Inception Program alongside IBM watsonx as a development partner.
All of this at a sub $20M market cap.
Grayscale doubled down on $TAO because it is the safest AI bet for their size. That is smart for them. For retail, the highest IQ move is finding the project with the same caliber of infrastructure that institutions physically cannot enter yet.
That project is $PAAL. Do yourself a favour and look at it before the market does.
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Grayscale is heavily bullish on $TAO!
@Grayscale just rebalanced its AI crypto portfolio and the message is pretty clear.
A few months ago, $TAO was 31.35% of the basket. Now it’s 43.06%.
No new coins were added. No coins were removed. They simply increased exposure to the one AI coin they clearly have the most conviction in.
Meanwhile:
$NEAR went from 26.54% → 24.43%
$RENDER went from 15.12% → 15.77%
$FIL went from 13.77% → 9.86%
$GRT went from 5.86% → 4.15%
$IP went from 7.36% → 2.73%
So while others were reduced or kept relatively flat, $TAO got a massive allocation increase.
That’s not random.
That’s conviction.
When the biggest weight gets even bigger in a thematic AI basket, you pay attention.

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Bitilionaire retweetledi

@IntenseInvest0r @JamesWynnReal Yes sir I'm keeping my $PAAL staked they are still one of only AI projects of last cycle (2yrs) that made a profit. Their doing something right and at least "Doing" something
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Fake? The ETH distributions are fully on chain and verifiable on Etherscan right now. Contract 0x14fee680690900ba0cccfc76ad70fd1b95d10e16 has 299,385 transactions. The staking dapp at rewards.paal.ai has distributed 826+ ETH to stakers generated from a 4% buy/sell tax baked directly into the smart contract. It is automated, not manually sent. Revenue flows through the publicly visible ENS address paalecosystemfund.eth. @PaalMind themselves posted proof of 100 ETH (~$350k) distributed in a single day. Anyone can verify this in 30 seconds. That is the difference between $PAAL and an actual fake project. Do your research before spreading misinformation.
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@bitilionaire oooh yeah, even $DSYNC did that, those are fake, check the people who got rewards, all of them are fake.
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@ScopeDefi Everyone’s picking $TAO and $RENDER but sleeping on $PAAL. Web3-native LLM (PaaLLM-0.5) ranked #1 accuracy for crypto topics. $50M+ trading volume on PaalX. In Nvidia’s Inception Program. Sub-$20M mcap. If AI narrative runs, this is your asymmetric bet.
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Which altcoin is highly undervalued at the moment?📝
$TAO
$FET
$MCADE
$RENDER
$PROPS
$PROPC
$CREO
$NAKA
$INJ
$ONDO
#VIRTUAL
$KITE
Let us know below👇🏼
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