@kcee_87
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I tweet my conviction.
Nigeria
Joined June 2024
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KCEE retweeted
NO SPINS LEFT. ONE LAST HOPE. 😭🎰
Scooby needed that second-row symbol to come through…
$423.50 secured 💰
Ft. @Scoobyz88 x @Stake
KCEE retweeted
RWA tokenization is growing, but the numbers need context.
The real story isn’t just how much value is moving on-chain. It’s whether tokenized assets can develop the liquidity, legal clarity and infrastructure needed for meaningful adoption.
Consider the market-size gap:
→ IMF: approximately $65B
→ RWA.xyz: roughly $39B in distributed tokenized assets
→ BCG: under $25B, excluding stablecoins and repos
These figures use different definitions. Stablecoins, repos and private credit can materially change the total, so the source and methodology matter.
The IMF also identified four barriers to growth: legal certainty, regulatory clarity, platform interoperability and safe settlement assets.
Its analysis found that around 80% of tokenized equity trades involved less than one share.
That is a useful reminder: on-chain activity doesn’t automatically mean deep liquidity or institutional-scale demand.
Tokenized equities are becoming a key battleground.
On October 8, Securitize launched tokens representing 12 U.S. stocks on @solana, backed 1:1 and settling in USDC.
Meanwhile, tokenized stocks reached approximately $3.24B on-chain by October 10, up 13.19% over 30 days.
The Solana Foundation also reported roughly $4.4B in September trading volume for the category.
Institutional infrastructure is advancing too. DTCC’s tokenization service is scheduled for a full launch in October 2026, with more than 50 participants
including @BlackRock, @GoldmanSachs and @jpmorgan. As of the information reviewed, I couldn’t confirm that the full launch had occurred.
@okx and Intercontinental Exchange’s joint venture also filed plans for a tokenized U.S. product on October 5.
𝐁𝐮𝐭 𝐠𝐫𝐨𝐰𝐭𝐡 𝐚𝐜𝐫𝐨𝐬𝐬 𝐜𝐡𝐚𝐢𝐧𝐬 𝐭𝐞𝐥𝐥𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐬𝐭𝐨𝐫𝐢𝐞𝐬.
✦ @ethereum: RWA market capitalization increased by $553.1M in one week, more than four times the gain of the next-largest chain.
✦ $XRPL: RWA market value grew more than 60x this year to approximately $2.46B . However, Justoken’s JMWH accounts for nearly 90% of that value, highlighting concentration risk.
✦ @injective: Its Meridian mainnet upgrade introduced on-chain compliance controls and regulated asset issuance.
✦ @Ondo: Ondo Stocks is attracting attention, but the available information needs further verification before drawing conclusions about its progress.
My takeaway is simple.
RWA tokenization is moving beyond the question of whether real-world assets can be represented on-chain.
The next phase will be judged by liquidity, investor access, regulatory certainty, settlement reliability and actual usage.
The winners won’t necessarily be the chains with the biggest headline numbers.
They’ll be the ones that can support sustainable markets for assets people genuinely want to own and trade.
KCEE retweeted
Most people treat the Hayes line in the thread as a forecast. I read it as the rule that already applies the moment agents can move money without waiting for a human.
Two agents will not open a case. They will name the place where any disagreement gets settled the same way a contract names California.
That naming only works if the place can return a verdict without costing more than the deal. The origin numbers show what the existing system does instead: a million dollars just to start and almost nothing left when it ends.
Agents do not have that path. If the venue they name cannot handle the disagreement, they lose the ability to be trusted with real money the first time the terms are not met.
@GenLayer is one of the places they can name. Payments and identity can keep advancing. Without a usable venue for the moment they disagree, the money still has nowhere to go once one side says the agreement was broken.
The internet never had a judge.
AI agents are about to move $9 trillion. Nobody built the part that handles disagreement.
GenLayer did.
And now you can become part of it: portal.genlayer.foundation/g…
KCEE retweeted
Been a bear for so long? Ready for the next leg? Don't think so we gonna see it this week or the next week but soon we'll do it, very soon actually
Why I'm so confident about it? History repeats itself and I'm betting on that (always done it) so we following all the patterns, all the up and downs and you decide to ignore it? Thanks to @xomarket I actually have some good odds on making some $ on this market also not risking too much
Gonna make a quick 2.5x if it comes true, only 2 and half weeks till then... let's hope the market gonna send :)
KCEE retweeted
LFG 🐜
excited to announce that i’ve joined @AntSeed as founding devrel! 🐜
i’ll be spearheading everything devrel + devEx.
back in january, i had a feeling local AI was going to be a big focus this year. so i spent a lot of time learning, building, experimenting, and doing cool shit around it.
joining antseed was a no-brainer.
antseed is building an open, peer-to-peer marketplace where anyone can buy and sell AI inference, without a middleman.
just like @AmosMeiri said, we're doing for AI inference what BitTorrent did for file sharing.
imagine running an AI model on your own hardware, making that compute available to others, and getting paid whenever they use it.
now imagine being on the other side, accessing that compute and getting AI inference at a fraction of the cost.
that's what we're building at antseed.
there's sooo much we're cooking, and i can't wait to share it all with you! 🐜
KCEE retweeted
excited to announce that i’ve joined @AntSeed as founding devrel! 🐜
i’ll be spearheading everything devrel + devEx.
back in january, i had a feeling local AI was going to be a big focus this year. so i spent a lot of time learning, building, experimenting, and doing cool shit around it.
joining antseed was a no-brainer.
antseed is building an open, peer-to-peer marketplace where anyone can buy and sell AI inference, without a middleman.
just like @AmosMeiri said, we're doing for AI inference what BitTorrent did for file sharing.
imagine running an AI model on your own hardware, making that compute available to others, and getting paid whenever they use it.
now imagine being on the other side, accessing that compute and getting AI inference at a fraction of the cost.
that's what we're building at antseed.
there's sooo much we're cooking, and i can't wait to share it all with you! 🐜
What BitTorrent did for files, we want to do for AI inference.
Antseed lets anyone buy and sell access to AI models, on their own terms.
The Antseed Foundation has raised $2.4M in a token round led by Spark Capital to help make that happen.
KCEE retweeted
It’s a Sunday and @antseed will casually pass 7b tokens consumed. You 🐜s like working on the weekend. It’s the culture.
KCEE retweeted
It’s a Sunday and @antseed will casually pass 7b tokens consumed. You 🐜s like working on the weekend. It’s the culture.
KCEE retweeted
The next wave of DeFi could rely on data that never interacts with the blockchain.
Consider it.
A wallet can demonstrate the balance of funds someone has, but there's more to the picture.
The same applies to institutions, which might have to demonstrate certain compliance without revealing the full range of their portfolio or strategy.
And here @primus_labs comes into play.
With zkTLS, data coming from the web-based platforms can be made verifiable without giving away its entirety.
It will allow us to develop more efficient credit checks, more private financial applications, and onchain systems which won't have to be based only on the history of transactions in the wallet.
And it is not all about the privacy.
Being able to prove that something is true without disclosing all the details – this is quite an important step towards the integration of the world of finance onto the chain.
Learn more about Primus and XP tasks:
s.kaito.ai/7UOaVcc
KCEE retweeted
Asking holders of old wallets to move their funds for post-quantum protection creates an adoption problem alongside a security one.
In its published ZKPoSP construction, @Americanfort_io describes proving control of the seed and BIP32 derivation chain behind an existing address. QBIP-32 is presented as a shared derivation method for curves including secp256k1 and Ed25519. The project’s stated goal is to support an upgrade without changing address formats or moving funds.
This should still be treated as a research and design claim, not protection already deployed across wallets. The IACR ePrint paper is a preprint. Beyond the cryptography, adoption may depend on wallet integrations making proof generation simple enough that users actually complete the upgrade.
Which part do you think is harder: establishing the cryptographic guarantee or getting existing users to adopt it?
#AmericanFortress #FortressName
americanfortress.io
names.americanfortress.io
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You may have seen @drakefjustin warning that AI-driven math could break ECDSA before a quantum computer does, and that assets should move to addresses whose public keys were never exposed.
That migration means new addresses, new UX, and years of users who never get around to it.
We published a construction that removes the need for it.
ZKPoSP (Zero-Knowledge Proof of Seed Provenance) replaces the elliptic-curve signing step with a zero-knowledge proof that the signer holds the seed and full BIP32 derivation chain behind an existing address. Address format unchanged. Funds do not move.
The security proof rests only on SHA-256, SHA-512 and a hash-based proof system. No elliptic-curve, lattice or isogeny assumption. The posture Drake is recommending.
QBIP-32, in the same paper, extends it to any prime-order curve with one derivation scheme. secp256k1 and Ed25519, covered the same way.
This was the conversation two days ago at Quantum & Privacy Day, @token2049 Singapore with @MehowHacks, @conordeegan (@QuantusNetwork), and @cadillion (@quipnetwork). The question on stage was never whether post-quantum cryptography works. It was what it costs to ship. Not moving every user's funds is a big part of the answer.
KCEE retweeted
Two doctors can examine the same patient, write completely different notes, and still agree on the diagnosis.
That never seemed strange to me.
What would be strange is a hospital rejecting one diagnosis because the doctors used different words.
Yet that's roughly the problem AI creates for blockchains.
Traditional blockchain execution expects nodes to reproduce identical results. AI can reach the same conclusion through different reasoning and language.
So what happens when the answer is correct, but the wording isn't identical?
This is what caught my attention about @GenLayer's Equivalence Principle.
An Intelligent Contract defines what counts as an acceptable result. One validator proposes an answer. Others independently evaluate it against the contract's criteria and decide whether to accept or reject it.
The important detail is that the contract sets the standard.
A payment amount might require an exact match. A measurement might permit a tolerance. A dispute verdict might allow different explanations, provided the conclusion satisfies the agreed rule.
That distinction matters far beyond AI chatbots.
Imagine two AI agents disagreeing over whether a medical equipment shipment met its delivery requirements. The contract shouldn't fail just because independent validators describe the same evidence differently.
It should fail when the evidence doesn't satisfy the actual agreement.
To me, that's the breakthrough: consensus no longer has to confuse identical output with equivalent judgment.
Here's the question I'd ask anyone building with AI:
What's one decision where you'd accept different explanations but absolutely refuse a different conclusion?
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