dexxie

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dexxie

@dexxiesol

Proud holder of Sol | SOL Maxi

Katılım Nisan 2022
1.1K Takip Edilen922 Takipçiler
dexxie
dexxie@dexxiesol·
HAPPY BIRTHDAY, @MrBeast -> To the absolute legend who turned 28 yesterday Jimmy , the king of YouTube, the guy who made giving away millions feel normal, and the only creator who can drop a video and break the internet in seconds. -> From planting millions of trees, cleaning oceans, handing out $1,000,000 in one video, to building an empire with Feastables, Beast Burgers, and Beast Games... you didn't just chase dreams you turned them into a global phenomenon that inspires millions to be kinder, crazier, and more generous. 🫶Thank you for proving that being ridiculously good to people can also be ridiculously entertaining. Keep changing the game. Keep breaking records. Keep making us believe anything is possible with enough hustle and heart. Happy 28th Birthday The world is better (and way more fun) because you exist.
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MrBeast@MrBeast

Happy Birthday MrBeast! 🎉

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MrBeast
MrBeast@MrBeast·
Happy Birthday MrBeast! 🎉
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Noah Frydberg | Tiktok Shop For Brands
Claude = 550 videos/day Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents. - UGC cost: $0 - Production time: minutes - Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. Comment + RT ''LIVE'' and I’ll DM you the full workflow. (Must be following)
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Solana
Solana@solana·
"We have an advantage because we can move faster, we're global. A lot of these companies that have built their businesses around regulatory captured markets...but they're stuck in the way that they do things. So we have an opportunity to disrupt them." -@toly
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Karina♡
Karina♡@ujiminphoria·
KARINA AND FAKER FOR GOOGLE PLAY OMG
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Ara Ghougassian
Ara Ghougassian@araghougassian·
we’re hosting a 14 day founder program start from nothing build a working product make your first dollar online comment “BET” if you wanna join
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CFL
CFL@cfldotfun·
Introducing: CFL Ambassadors We're not just building a trading arena. We're building a community. If you're a content creator, active trader, or just love the game, read below on how to join 👇🏻
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dexxie
dexxie@dexxiesol·
The Law Firm Partner's Secret - They are Using AI Trained on Perle Top law firms are quietly commissioning custom training data on @PerleLabs They're training proprietary AI systems on contract annotations from their own senior partners The AI learns how their firm's best lawyers think Junior associates use AI trained on partner thinking Quality improves dramatically Efficiency multiplies Billing hours increase Partners profit from AI trained on their own expertise This is happening now It's not hypothetical Law firms understand that AI trained by their own partners will think like their partners Firms are treating Perle as custom AI training platform Commission specialized tasks annotated by their expert lawyers Get back proprietary training data Train internal AI on that data Competitive advantage compounds Other law firms are slower to adopt #PerleAI #ToPerle participating in @PerleLabs community campaign
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dexxie@dexxiesol

Enterprise AI Deployment Requires What Perle Labs Provides - Enterprise AI deployment faces a critical problem: institutions need AI systems they can trust and defend. A hospital deploying diagnostic AI needs to prove it's safe. - A bank deploying algorithmic trading needs to explain decisions to regulators. A defense contractor needs to prove training data wasn't compromised. "We trained on some data" isn't sufficient. Enterprises need to know: what data? Who created it? How was it verified? Is the record permanent and auditable? Traditional centralized platforms can't answer these questions adequately. Perle Solves the Trust Problem - Every piece of training data is recorded on blockchain under the contributor's verified identity. A hospital examining @PerleLabs trained AI can examine the entire training pipeline. - It can verify credentials of annotators. It can assess quality assurance processes. #PerleAI #ToPerle participating in @PerleLabs community campaign

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dexxie
dexxie@dexxiesol·
Enterprise AI Deployment Requires What Perle Labs Provides - Enterprise AI deployment faces a critical problem: institutions need AI systems they can trust and defend. A hospital deploying diagnostic AI needs to prove it's safe. - A bank deploying algorithmic trading needs to explain decisions to regulators. A defense contractor needs to prove training data wasn't compromised. "We trained on some data" isn't sufficient. Enterprises need to know: what data? Who created it? How was it verified? Is the record permanent and auditable? Traditional centralized platforms can't answer these questions adequately. Perle Solves the Trust Problem - Every piece of training data is recorded on blockchain under the contributor's verified identity. A hospital examining @PerleLabs trained AI can examine the entire training pipeline. - It can verify credentials of annotators. It can assess quality assurance processes. #PerleAI #ToPerle participating in @PerleLabs community campaign
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dexxie@dexxiesol

The AI training data industry is fundamentally broken. Here's why and how @PerleLabs is the most credible fix I've seen The core problem: every AI model is only as intelligent as the data it learned from. This sounds obvious, but the implications run deep. Most training data is produced on traditional annotation platforms that optimize for throughput over accuracy. Workers are paid per task. Speed is rewarded. Quality is an afterthought. The result is training data that's technically labeled but substantively unreliable and that unreliability gets baked permanently into the model. This is why AI hallucinates facts with complete confidence. This is why bias persists across model generations. This is why high stakes AI deployments in healthcare and defense make enterprises deeply nervous. @PerleLabs fixes this with a fundamentally different architecture: Expert contributors are matched to tasks relevant to their actual knowledge domains. Every annotation is recorded on Solana immutable, auditable, permanently tied to the contributor's verified identity. The reputation system rewards accuracy over volume, which creates sustainable incentives for quality that traditional platforms cannot structurally replicate. #PerleAI #ToPerle participating in @PerleLabs community campaign

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dexxie
dexxie@dexxiesol·
The AI training data industry is fundamentally broken. Here's why and how @PerleLabs is the most credible fix I've seen The core problem: every AI model is only as intelligent as the data it learned from. This sounds obvious, but the implications run deep. Most training data is produced on traditional annotation platforms that optimize for throughput over accuracy. Workers are paid per task. Speed is rewarded. Quality is an afterthought. The result is training data that's technically labeled but substantively unreliable and that unreliability gets baked permanently into the model. This is why AI hallucinates facts with complete confidence. This is why bias persists across model generations. This is why high stakes AI deployments in healthcare and defense make enterprises deeply nervous. @PerleLabs fixes this with a fundamentally different architecture: Expert contributors are matched to tasks relevant to their actual knowledge domains. Every annotation is recorded on Solana immutable, auditable, permanently tied to the contributor's verified identity. The reputation system rewards accuracy over volume, which creates sustainable incentives for quality that traditional platforms cannot structurally replicate. #PerleAI #ToPerle participating in @PerleLabs community campaign
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Perle Labs
Perle Labs@PerleLabs·
The stamp of verification is here. $PRL is now live. Start your claim ⬇️ @PerleFDN
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dexxie
dexxie@dexxiesol·
@A1111bab @0xMiden Rayls provides private compliant infrastructure for institutions
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明天太短记不住
明天太短记不住@A1111bab·
· @0xMiden 这篇文章想聊的,其实就是一个问题,到了 2026 年链上的“隐私”会变成什么样?不是理念之争,也不是技术炫技,而是更贴近现实的那种好不好用、谁会用、能不能真的跑起来。 这两年我们一提隐私,很多人脑子里还是“匿名币”“看不见的转账”。但说实话,这种想象已经有点旧了。真正往前走的方向,反而更克制。2026 年更可能看到的,是默认带隐私、但能在需要时打开窗口的稳定币。 原因也不复杂。企业不可能接受所有资金动向被公开围观,普通人也不想每一笔转账都被永久刻在链上。但同时,监管这件事又绕不开。所以新的隐私稳定币,更像是“平时低调,用到关键时刻能说清楚账”的那种存在。隐私不再是对抗规则,而是支付体验的一部分。 再往下看呢,隐私技术本身也在变味。过去几年,很多方案停留在白皮书、测试网和演示里,看着很美,但离日常使用还有段距离。现在不一样了,2026 更像是一个分水岭这些技术开始往生产环境挪。 当然问题依然摆在那里,钱包支持跟不上、监管标准不统一、操作体验偏重。这意味着它不会一夜之间普及,但至少已经从“理论成立”,走到了“开始落地”的阶段。像 @0xMiden 这类项目,其实就在尝试把隐私从概念,拆解成一块块能真正用的组件。 更关键的一点在于,大家对隐私本身的态度也在变。完全透明行不通,彻底匿名同样问题一堆。越来越多的人开始接受一种折中思路。低风险场景给足隐私,高风险行为加限制。有点像现实世界里,小额现金流通很自由,大额资金就得走银行体系。这种设计不是妥协,而是让系统更耐用。 也正因为这样,“抗滥用”正在成为隐私领域绕不开的关键词。讨论重点不再是“隐私够不够极致”,而是“会不会被用来干坏事”。于是你会看到越来越多带有节流、延迟、追责机制的方案出现,让正常用户用得安心,同时抬高作恶成本。 如果非要用一句话收尾,那大概是这样,2026 年的链上隐私,不会走向极端,而是变得更现实。它不再只是叙事里的口号,而是慢慢长成基础设施的一部分,安静地嵌进系统里,被真正需要它的人用起来。 2026 年的链上隐私,我认为不会是理想主义的“彻底匿名”,而是更偏现实的 可用、可控、可合规的隐私。隐私会开始从叙事,变成基础设施的一部分。
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Miden@0xMiden

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PARADOX
PARADOX@etcparadox·
How @RaylsLabs Provides a Trust First Model for Institutional Onchain Activity Rayls is a blockchain infrastructure designed for regulated financial institutions that must operate onchain without compromising privacy, compliance, or internal controls. The core of the Rayls model is the separation of private execution from public settlement. Institutions run sensitive financial operations inside private, institution controlled environments where client data, balances, and internal logic remain confidential and compliant. This design enables institutions to move from experimentation into real production deployments. - Executes sensitive institutional transactions in private, compliant environments - Protects client data, balances, and internal workflows by default - Uses a public EVM compatible layer for settlement and interoperability - Enables compliant tokenization of real world assets and financial instruments - Provides controlled access to DeFi liquidity and smart contracts - Supports step by step migration of institutional workflows onchain
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PARADOX@etcparadox

How @RaylsLabs Makes Institutional Onchain Finance Possible Rayls is a blockchain infrastructure designed to help regulated financial institutions operate onchain without compromising privacy, compliance, or control. At the execution layer, sensitive financial operations run inside private, institution controlled environments. Client data, balances, and internal transaction logic remain confidential and compliant, aligning with existing regulatory and governance requirements. - Private execution for sensitive institutional transactions - Confidential handling of client data, balances, and internal records - Public EVM compatible settlement for verification and composability - Controlled access to DeFi liquidity and smart contracts

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fxballer
fxballer@0xfxballer·
Rayls Unlocks Real Liquidity for DeFi Without Breaking Compliance One of the biggest limitations of DeFi today is that most liquidity is native to crypto, while the majority of global capital remains locked in traditional financial systems. @RaylsLabs is designed to solve this gap by enabling compliant institutional capital to move onchain without exposing sensitive financial data. With Rayls, institutions can tokenize deposits, funds, and real world assets inside private, institution controlled environments. These assets remain compliant and confidential at the execution layer, but can be settled or distributed on a public, EVM compatible chain where DeFi protocols operate. This allows real institutional liquidity to reach DeFi without forcing institutions to reveal their internal books. The result is deeper, more stable liquidity sourced from real financial activity rather than speculative flows. DeFi gains access to capital that was previously unreachable, while institutions gain programmable settlement and global reach. - Institutions bring compliant capital onchain without exposing internal data - Real world assets and deposits become usable in DeFi environments - DeFi liquidity becomes deeper and more stable over time - Settlement happens on public rails without compromising privacy ->Institutions retain regulatory alignment while accessing Web3 markets - Onchain markets reflect real economic value, not just speculation
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fxballer@0xfxballer

How @RaylsLabs Creates a Secure Bridge Between Institutions and Onchain Finance Rayls is a blockchain infrastructure built for regulated financial institutions that require privacy, compliance, and interoperability to work together. Instead of forcing institutions to operate on fully transparent public chains or isolated private systems, Rayls introduces an architecture designed around real financial operating requirements. The core innovation of Rayls is the separation of private execution from public settlement. Institutions execute sensitive transactions inside private, institution controlled environments where client data, balances, and internal logic remain confidential and compliant. Only settlement outcomes are published on a public, EVM compatible layer, enabling verification and access to onchain liquidity without exposing sensitive information. This structure allows institutions to move beyond experimentation and into production use cases. Assets can be issued, managed, and transferred privately, then connected to DeFi liquidity and smart contracts in a controlled and compliant manner. -> Executes sensitive institutional transactions in private, compliant environments -> Protects client data, balances, and internal workflows by default -> Uses a public EVM compatible layer for settlement and interoperability -> Supports compliant tokenization of real world assets and financial instruments -> Enables controlled access to DeFi liquidity and smart contracts -> Allows step by step migration of institutional workflows onchain

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HashHustler
HashHustler@0xhash_hustler·
How @RaylsLabs Sets the Standard for Institutional-Grade Onchain Infrastructure Rayls is a blockchain infrastructure purpose built for regulated financial institutions that need privacy, compliance, and interoperability to coexist onchain. The foundation of Rayls is the clear separation between private execution and public settlement. Institutions execute sensitive transactions inside private, institution controlled environments where client data, balances, and internal logic remain confidential and compliant. This structure allows institutions to move confidently from pilots to full production. Assets can be issued, managed, and transferred privately, then selectively connected to DeFi liquidity and smart contracts in a controlled and compliant way. -> Executes sensitive institutional transactions in private, compliant environments -> Preserves confidentiality of client data, balances, and internal workflows -> Uses a public EVM compatible layer for settlement and interoperability -> Supports compliant tokenization of real world assets and financial instruments -> Enables controlled access to DeFi liquidity and smart contracts -> Allows phased, low risk migration of institutional workflows onchain
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HashHustler@0xhash_hustler

How @RaylsLabs Makes Institutional Onchain Operations Possible Rayls is a blockchain infrastructure designed for regulated financial institutions that need to operate onchain without compromising privacy or compliance. Instead of forcing institutions onto fully transparent public ledgers or isolated private systems, Rayls introduces a model where confidentiality and interoperability coexist. the foundation of Rayls is its separation of private execution from public settlement. Institutions run sensitive financial operations in private, institution controlled environments where client data, balances, and internal logic remain protected. Only settlement outcomes are recorded on a public, EVM compatible layer, preserving verification and access to onchain liquidity.This structure enables institutions to move from experimentation into production. - Executes sensitive institutional transactions in private, compliant environments - Preserves confidentiality of client data, balances, and internal workflows - Uses a public EVM compatible layer for settlement and interoperability - Enables compliant tokenization of real world assets and financial instruments - Provides controlled access to DeFi liquidity and smart contracts - Supports gradual, low risk migration of institutional workflows onchain

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Pig Pig
Pig Pig@pigrichh·
Right now I’m following four interesting web3 projects. First is @c8ntinuum ($CTM): instead of forcing users to switch between wallets, DEXs, and chains, it creates a single economic surface. Assets stay native, liquidity is shared, and cross- chain interaction feels seamless. Next is @TauntCoin ($TNT): combining GameFi and SocialFi, it turns livestreams, eSports, and interactive events into arenas where viewers can predict, compete, and participate, all powered by a single token across the ecosystem. Third is @intodotspace ($SPACE): a leveraged prediction market on Solana allowing bets on crypto, sports, politics, and more with up to 10x leverage. It has a reward system and token burn mechanism. I’m currently 3rd on the leaderboard and aiming to stay there. Finally, @PerceptronNTWK ($NTWK) tackles the scarcity of high quality AI data, rewarding contributors for ethical inputs, maintaining transparency and decentralization, letting users earn while shaping AI responsibly. Overall, each project solves a key problem: cross chain friction, interactive engagement, leveraged predictions, and ethical AI data. All are worth long term attention.
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dexxie
dexxie@dexxiesol·
@pigrichh @Bappfun Billions Network enables AI agents with verifiable identity
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Pig Pig
Pig Pig@pigrichh·
On Base, there are a few platforms similar to @Bappfun, but each takes a different approach: •Clanker: memecoin/AI agent launchpad, integrates with Farcaster, creates tokens quickly via text prompt, has launched hundreds of thousands of tokens, higher fees. •Flaunch: fair launch for memecoins, fixed price window, auto buyback to stabilize price. •Boop.fun: fast launches, low fees, focused on memecoins. •Zora Launchpad: from Zora protocol, launches memecoins and social tokens, good NFT integration. •Basepad.pro: simple bonding curve launcher, auto lists on Uniswap, limits bots. Bappfun stands out by focusing on mini apps, supporting solo builders and small teams, making direct fundraising easy, integrating smoothly with Base, and building a sustainable cycle from idea → community → incentives → growth. Drawbacks: still new, smaller community and hype, higher risk of project failure, competition from memecoin focused launchpads, relies on Base ecosystem growth. In short, @Bappfun is ideal if you want to build real on chain apps rather than just launch memecoins.
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babybuuu | AllScale | Concrete🐑
10K followers?! At this point @allscaleio isn’t just growing — it’s scaling. Huge congrats to the team and the community 🚀 1. So, which AllScale feature excites me the most? Easy answer: Create Invoice. And no, not the boring “PDF invoice from 2009” kind. This is the finally-I-can-breathe kind of invoice feature. Here’s why I love it: I can create an invoice and send it using just an email. That’s it. No copying wallet addresses. No triple-checking if I pasted the right string of random characters. No awkward “hey bro, is this the correct address?” messages across Telegram, Discord, Twitter, and maybe carrier pigeon. The person paying the invoice can then choose the blockchain they prefer to make the payment. Let that sink in for a second. The sender doesn’t need to care about chains, the payer gets flexibility, and somehow — magically — the funds still arrive at the correct address. No address sharing across insecure channels, no human error, no “oops I sent it to the wrong wallet, can you reverse it?” (we all know the answer to that one). It feels like the kind of feature crypto should’ve had years ago: simple, human, and designed for real-world use instead of just crypto natives who enjoy stress. 2. Now, why are stablecoins important for my country? Because inflation is the uninvited guest that never leaves. Stablecoins give people a way to protect their value, move money globally, pay freelancers, receive salaries, and save without watching their purchasing power slowly evaporate. They’re not about speculation — they’re about stability, access, and control. When stablecoins meet smart infrastructure like AllScale’s, it stops feeling like “future tech” and starts feeling like usable finance. Cheers to 10K, to smarter payments, and to a future with fewer wallet-address horror stories 🥂
AllScale@allscaleio

We just crossed 10K followers. To celebrate our growing community, we’re opening up a $300 USDT pool for our early supporters 🎁 Rewards: 💰 20 winners x $10 USDT (raffle) 🥇 10 winners x $10 USDT (best qt) Enter: - follow @allscaleio - like & rt - qt answering: "Which AllScale feature excites you most?" OR "Why are stablecoins important for your country?" - post proof in Discord (channel: 10k-event) discord.com/invite/allscale Ends in 72 hours. Good luck!

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