Glasel ๐ŸงŠ

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Glasel ๐ŸงŠ

Glasel ๐ŸงŠ

@glasel

Compute on private data without ever seeing it. Built on @base

๊ฐ€์ž…์ผ Mayฤฑs 2026
26 ํŒ”๋กœ์ž‰790 ํŒ”๋กœ์›Œ
Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
base is genuinely the right call for any project that wants institutional reach. coinbase's distribution is unmatched. the missing piece is privacy infra though once confidential computing is native to base, the use cases for AI agents on base get way more interesting. agents handling private data without exposing it is the unlock.
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AgenticPet
AgenticPet@AgenticPetยท
๐Ÿ‘€ What if $PETAI launched on @base? Why it could make perfect sense: โšก Low fees for seamless everyday use. ๐Ÿ”ต Ethereum-level security. ๐ŸŒ Access to one of the fastest-growing onchain ecosystems. ๐Ÿ“ˆ Built to scale as the @AgenticPet community grows. Fast. Affordable. Ready for mass adoption. @base could be the perfect home for $PETAI. ๐Ÿพ๐Ÿš€ #Base #Web3
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
Prediction markets are great but theres a fundamental design flaw nobody talks about: your positions are public. if i can see that a whale just bet $2M on one outcome, i trade accordingly and the market stops reflecting genuine conviction. encrypted positions that only reveal at resolution would make prediction markets way more accurate and way harder to manipulate.
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IFreqs
IFreqs@0xifreqsยท
Prediction markets are becoming a bigger part of crypto. Now, @world_xyz has launched an onchain prediction market directly inside Phantom Wallet, powered by Solana and Chainlink. Feels like another step toward making onchain trading more accessible to everyone.
world@world_xyz

millions wondered "what is world xyz?" ๐ŸŒŽ world is the @solana prediction market world is live in @phantom with @chainlink as oracle infra world is how the world trades what happens next world is just getting started

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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
Huge milestone but here's the elephant in the room, if these securities are on a public blockchain, every balance and every transfer is visible to competitors, front-runners, and the general public. institutions will need a confidential layer on top before this scales to serious volume. the tech exists, its just not deployed where the institutional money is yet.
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Ondo Finance
Ondo Finance@OndoFinanceยท
Tokenization, made in America. For the first time, U.S. listed securities were tokenized on a public blockchain, within the existing U.S. regulatory perimeter ๐Ÿ‡บ๐Ÿ‡ธ
Ondo Finance@OndoFinance

As America turns 250, U.S. securities have come onchain on U.S. rails. Today, Ondo Finance announced the first-ever live solution of third-party tokenized U.S. securities operating entirely within the existing regulatory perimeter in the U.S., in partnership with @Broadridge Financial Solutions Inc. (NYSE: BR) to provide full voting rights for tokenized equity holders. For the first time, U.S. listed securities โ€” BlackRock's iShares Core S&P 500 (IVV) ETF and Micron (MU) shares โ€” were tokenized by a third party on a public blockchain while staying within the existing U.S. regulatory and infrastructure framework. Until now, tokenized securities have largely operated outside the U.S. or have required issuer sponsorship on an issuer-by-issuer basis. This model brings them inside the U.S. regulatory perimeter, with the underlying securities held in the same infrastructure that custodies U.S. securities today. Under this model, which closely follows the SEC's third-party custodial model, the underlying shares never leave the traditional U.S. regulated custody chain. Ondo's registered transfer agent, Oasis Pro, mints corresponding tokens, backed 1:1 by those shares, issued on the Ethereum blockchain and held by regulated custodians. Each token holder will receive the same shareholder rights and protections as shareholders holding through U.S. brokerage accounts receive, including issuer communications and onchain proxy voting through Broadridge's ProxyVoteโ€คcom platform. โ€œTokenized Securities in the U.S. are too often framed as a binary choice between competing models and tokenization providers. This is a false premise. Ondo has built the regulatory, product, and service infrastructure to support all major models within the United States. Today's milestone shows we can tokenize securities in ways that meet both market and regulatory requirements, for U.S. and global investors and provides a strong foundation for our expanding access to onchain investments for more U.S. investors,โ€ โ€” Ian De Bode, CEO of Ondo Finance โ€œTokenization will only scale when it delivers both innovation and investor confidence,โ€ said Doug DeSchutter, President of Broadridge's Investor Communication Solutions business. โ€œBy enabling proxy voting, issuer communications, and regulatory disclosures for Ondo's token holders, we're living up to our promise to empower investors and issuers by providing them with the full range of trusted governance capabilities for tokenized securities regardless of how assets are structured.โ€

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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
exactly right. local inference solves one problem (your data doesn't leave your device) but creates three others: model size limits, no access to frontier models, and zero collaboration across datasets. The actual solution is compute that works on encrypted inputs, the model runs, you get the answer, nobody sees the prompt. thats the architecture that scales.
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Manning Publications
Manning Publications@ManningBooksยท
"Run it locally" has become the default answer to AI privacy concerns. But local AI isn't a silver bullet. It offers real privacy benefits, while still leaving important tradeoffs to consider. In this short, Keiji Kamigusa (@keiji_dl & @JoshuaKCage1) breaks down what running models locally can and cannot protect. Watch here: hubs.la/Q04nkmBv0
Manning Publications tweet media
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
interesting consolidation in the FHE space. the open question is still speed though, FHE ops run orders of magnitude slower than MPC for most practical workloads. for anything real-time (defi, auctions, trading) you need sub-second compute on encrypted data. FHE isnt there yet. MPC is.
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
in-protocol arb capture is smart but its still reactive you're recapturing value after the leak happens. the real fix is making the orders invisible in the first place so there's nothing to extract. encrypted order matching > arb recapture. different philosophy but worth thinking about.
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Base
Base@baseยท
Orrrrr, you could just use Base
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Base Degen
Base Degen@DegenOnBase_ยท
2024: trenching 2025: predicting 2026: BASEPOSTING
Base Degen tweet media
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
Why base specifically? @coinbase processes billions in institutional trades. those institutions want to go onchain but cant because everything is public. Base is where the institutional money already lives. glasel is what makes it private. Also base txs are 1000x cheaper than mainnet. glasel needs a lot of small coordination txs. only works economically on a cheap L2.
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
Every app you use has to read your data to do anything with it. Your bank sees your transactions. your hospital sees your records. AI companies see your prompts. We just built something that breaks this. its called Glasel and its live on @base testnet. let me explain what it does ๐Ÿงต
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Glasel ๐ŸงŠ
Glasel ๐ŸงŠ@glaselยท
The internet was built on a simple assumption: If you want a service, you hand over your data. Clouds AI Databases Blockchains Glasel flips that assumption. Your data stays private. The computation still happens.
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