I’ve held $HYPE since TGE, but I’m selling now ... The fund | the_smart_ape no Binance Square

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I’ve held $HYPE since TGE, but I’m selling now ...
The fundamentals are still solid, but there’s a serious threat ahead.
My concerns about @HyperliquidX. 🧵🔽

Aviso Legal: inclui opiniões de terceiros. Não se trata de aconselhamento financeiro. Poderá incluir conteúdos patrocinados. Consulta os Termos e Condições.

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Not sure what you're waiting for to catch @virtuals_io Genesis 100x play. The market is chaotic, but this is one of the few places flashing green. Returns are already insane, and ACP is about to send it even higher. Here's how to get in. 🧵🔽

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$NEWT launches this week. @MagicNewton is cool, but they’re making a big mistake. I can already tell the launch is going to be a disaster. Here’s why 🧵🔽

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If you know how to use @pendle_fi properly, you’ve already done 90% of the work to be profitable in DeFi. Especially for point farming like @aegis_im, they just launched a new pool on Pendle where you can earn up to 100% weekly in airdrops for any amount deposited. You can for example, buy YT-sYUSD on Pendle. These have a maturity of around 70 days. During that time, you’ll earn the underlying yield plus 75 Aegis points per day for each YT you hold. If you deposit $100, that earns you roughly 470,000 points per day, which translates to: ~$25 per week at a $25M FDV ~$50 per week at a $50M FDV ~$75 per week at a $75M FDV ~$100 per week at a $100M FDV YT on Pendle is probably the riskiest and most complex product to understand, but it’s also where the biggest opportunities often are. The great thing about Pendle is that there’s something for every risk profile. If you prefer lower risk, you can buy PT or provide liquidity for more stable exposure.

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In reality @MagicNewton works just like Bitcoin miners. Criticizing them for working off-chain is like criticizing Bitcoin because miners also operate off-chain. Just like Bitcoin miners perform intensive computations off-chain and only submit the proof (a valid block with proof of work), MagicNewton’s AI agents monitor conditions and run logic off-chain, then submit a ZK proof on-chain to verify they followed the rules correctly. They don’t reveal the full off-chain process, they prove that the outcome is valid and verifiable. Same logic. Same trust model. Just a different use case.

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I’ve been asked a lot how @MagicNewton ensures accuracy even during high market volatility. And it's a crucial thing to get. To get this, you need to know how the internal process works. It all starts with the user defining a rule like “Buy BTC if it drops below $100K.” The AI agent then monitors on-chain data to check whether the condition is met. This monitoring occurs off-chain because it's resource-intensive and requires efficiency. Now, you might say: if it's off-chain, can we trust it? The answer is in the next step. Once the condition is met, the AI agent generates a ZK proof that it has followed the predefined rules and that the trigger condition is truly satisfied. Since the first step is off-chain, the AI agent must prove on-chain that it didn’t cheat. That’s why it doesn’t matter that the AI operates off-chain, the trust comes from the on-chain proof. A smart contract then verifies the ZK proof. If it’s valid and the original rule conditions are met, it authorizes the transaction. If not, it rejects it. So, even in highly volatile conditions, nothing gets executed blindly. Right before the transaction goes through, the smart contract performs a final check. If BTC has already jumped back above $100K, the contract's built-in revert logic cancels the transaction. In short: the system is designed to remain accurate and trustless, even under extreme volatility.

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