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Dami-Defi
36.2K posts
Dami-Defi
@DamiDefi
AI. Former marketing lead at global Top 100 company. Crypto since 2018. Sharing strategies that actually work. All posts are NFA | DYOR. @Bitget Partner.
Katılım Nisan 2012
681 Takip Edilen98.5K Takipçiler
Most people run the smartest model on the market and get generic output back, every single session.
Someone built a four folder second brain that turns the exact same model into something that actually knows their business. The gap is wild.
Here is the full system nobody is talking about.
Dami-Defi@DamiDefi
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@CryptoLara_ @OndoFinance @SkyEcosystem @centrifuge @chainlink @pendle_fi @maplefinance @ClearpoolFin RWA keeps winning
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@DamiDefi @OndoFinance @SkyEcosystem @centrifuge @chainlink @pendle_fi @maplefinance @ClearpoolFin This is a really interesting development
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Is Real-World Asset Tokenization Quietly Becoming the Most Institutionally-Backed Sector in All of Crypto?
Here's what each project delivered this year:
$ONDO: embedded Broadridge's ProxyVote infrastructure for on-chain proxy voting, launched compliant tokenized shares of BlackRock's IVV ETF and major equities, expanded via Franklin Templeton across five institutional funds, launched 24/7 Nexus minting for tokenized Treasuries
SKY/MKR: completed the Sky rebrand and scaled USDS across major L2s, pushed Spark Protocol's institutional credit vaults past $3.5B backed by T-Bills, expanded BlackRock BUIDL collateral routing, activated algorithmic Fed-rate-based treasury rebalancing
$CFG: scaled its Anemoy Liquid Treasury Fund to record TVL across Arbitrum and Base, integrated multi-asset credit vaults for traditional asset managers, expanded onto Base for cheaper originator onboarding, deployed unified cross-chain vault architecture
$MPL: hit record loan originations in its High-Yield Cash Management pool, launched BTC/ETH-backed institutional lending, deployed its Syrup yield protocol, maintained a zero-default track record through volatile Q2 conditions
$CPOOL: deployed its Ozean L2 mainnet built for institutional RWA yield, surpassed record cumulative credit originations, expanded into physical trade finance, executed automated buyback-and-burn tied to borrower interest
$POLYX: onboarded institutional entities as validated node operators, updated its framework for EU MiCA compliance, upgraded to atomic T+0 settlement for corporate bonds, partnered with top-tier custodians for institutional cold storage
$GFI: scaled real-world credit origination across Latin America and Southeast Asia, restructured its senior pool with automated tranche protection, deployed on-chain credit scoring V2, shifted yield distributions to native stablecoins
$PENDLE: scaled tokenized RWA yield pools (USDe, USDY, USDM) past multi-billion dollar monthly volume, launched fixed-rate Treasury yield pools, extended yield-stripping across Arbitrum, Mantle, and Base, introduced institutional vault pools with custom maturities
$LINK: expanded Proof of Reserve feeds across BlackRock BUIDL, Ondo, and WisdomTree, integrated CCIP into major banking trial networks, launched corporate action and interest-rate oracle feeds, completed SWIFT interoperability pilot phases
$RIO: launched the RealioVerse alpha linking tokenized real estate to a virtual platform, updated its Cosmos-based engine for cross-chain private equity issuance, expanded its fractionalized real estate portal, implemented dual-asset staking tied to platform fees
BlackRock, Franklin Templeton, Broadridge, and SWIFT all show up directly in this list. That's not a coincidence, it's a pattern worth paying attention to.
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@MacroBombastic @OndoFinance @SkyEcosystem @centrifuge @chainlink @pendle_fi @maplefinance @ClearpoolFin Yeah bro. RWA is beyond hype
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@DamiDefi @OndoFinance @SkyEcosystem @centrifuge @chainlink @pendle_fi @maplefinance @ClearpoolFin institutions are finally treating rwa like real finance, not just hype
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YOU CAN NOW RUN AI AGENTS FOR FREE. FOREVER.
Most people are still paying for every AI task.
They don't realize local AI just hit a major milestone.
Google quietly fixed the biggest weakness in Gemma 4: tool calling.
That changes everything.
Before this update:
• Agents called the wrong tools
• Tasks stalled or failed
• Local automation wasn't reliable enough
Now?
Gemma 4 can reliably power AI agents that actually take action.
Pair it with Hermes Agent and you've got an AI that can:
• Search the web
• Open and edit files
• Run workflows
• Automate repetitive tasks
• Work entirely on your own machine
The biggest advantage isn't intelligence.
It's ownership.
No API bills.
No rate limits.
No cloud dependency.
No sending your data to someone else's servers.
Use frontier models for planning.
Let Gemma 4 + Hermes Agent handle the repetitive execution for free.
This is where AI automation is heading:
Local agent teams running 24/7 on your own hardware.
The people setting this up today will have a massive edge tomorrow.
Bookmark this, and follow @damidefi for more AI alpha before everyone else catches on.
Video cred: Julian Goldie SEO (Youtube)
Dami-Defi@DamiDefi
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@DamiDefi Running AI 24/7 on my machine with zero cost? Game changer
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@DamiDefi Just watched it and now my brain’s doing cartwheels, thanks for the mental gymnastics! 😬
GIF
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Is the AI stock sector done correcting, or is there more pain coming?
Honest answer: I don't know if it's done. Nobody does. If I could call the bottom on this, I wouldn't be writing posts, I'd be sitting on a trillion dollars.
What I do know is why it's correcting. Three reasons, and none of them are going away overnight.
First, the ROI question.
Every hyperscaler is pouring capex into this complex. Chips, GPUs, data centers, electrical power, the whole stack. Memory companies, semiconductors, equipment manufacturers, energy, all of it juiced up by the same spending wave.
But spending isn't the same as returns. The real question the market is asking right now is simple. Are companies actually making more money from all this compute, or are they just paying for it?
We were in a build it and they will come phase. Now everyone's asking if they're actually going to come. If the answer is no, that means the builders overspent, and that's exactly why the sector is bleeding right now.
Second, the war.
War means higher oil and gas prices. Higher gas prices mean higher costs everywhere. That means more inflation, and more inflation means fewer rate cuts, maybe none.
Tech runs on low rates. That's not a preference, it's structural. Look at who's funding this AI buildout now. Amazon, Oracle, companies like that are going to the debt markets instead of funding capex out of free cash flow. That's a real shift.
When you're borrowing instead of self-funding, rate direction stops being background noise and becomes the whole game. A war pointing toward higher rates is a direct hit on every company financing its AI buildout with debt.
Third, supply and demand.
The stock market is still just a market. Supply and demand. And supply just exploded.
SpaceX alone blew every IPO record out of the water. Add every other big IPO that priced right before it, and you've got a flood of new stock hitting the market at once.
There's only so much investment capital out there. Nobody's creating new demand to match the new supply. More shares chasing the same pool of money means one thing: prices come down, even without anything changing on the demand side.
So that's the setup. An ROI question nobody's answered yet, a war pushing rates in the wrong direction for anyone leveraging up, and a supply glut from the biggest IPO wave in years. None of these resolve fast, and none of them are really about AI itself. They're about the money underneath it.
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