MaxWell

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MaxWell

MaxWell

@_maxwell_99_

Exploring the edge of Web3 | Sometimes I code, sometimes I just think | No hype, just blocks

Ukraine Katılım Eylül 2021
463 Takip Edilen613 Takipçiler
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MaxWell
MaxWell@_maxwell_99_·
GMagic, wizards! I am introducing a new challenge - Wizard Internet Tab. - What if you were a browser tab? Imagine that you entered a virtual world and became a website. What would it be about, and what role or function would MagicBlock technology play in it? It can be about games, music, cars, fashion, movies, or anything you want. Let your imagination run free and do not hold back. How to participate: - send me a DM on Discord saying that you want to join the challenge - send me your PFP (avatar) - quote retweet this post once you come up with your idea I am already excited to see your ideas, and most importantly, whether your tab will become the one you never close in your browser. Lfg🔥May magic accompany your every step 🪄 @magicblock @16vivz @MagicIntern @simpletox26
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MaxWell@_maxwell_99_

GMagic, wizards, have a magical evening and an incredible weekend ahead! You still click “buy”? Soon it will be done for you. Right now everything feels familiar. You search for a product. Look through options. Read reviews. Then decide and buy. But this process is already starting to change. First, AI started suggesting what to choose. Then it began comparing prices and offering options. The next step is logical. It simply makes the purchase itself. And that is not all. At the same time, another model is emerging. Programs start paying each other. - One agent buys data. - Another generates content. - A third processes requests. And all of this happens without human involvement. This is where the problem appears. Traditional payment systems do not fit this model. Cards were not designed for thousands of small transactions. The fee can be higher than the purchase itself. Agents need different conditions. Fast payments. Almost no fees. And most importantly, the ability to define logic. - Pay only after the result. - Split the payment. - Or issue refunds automatically. The solution is right on the surface - MagicBlock is working to make these scenarios possible. - Fast execution. - Minimal costs. - And the ability to operate in real time. This matters because for agents, delays or expensive transactions are already a problem. Of course, all of this is still very early. Tools are developing quickly. But real usage is still limited. There are many experiments. Many tests. But most of the volume is still ahead. - So the question is not whether this will happen. - The only question is when. And most likely, this shift will be quiet. One day it will simply become normal that you did not make the purchase yourself. @magicblock @16vivz @MagicIntern @simpletox26

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Totosha
Totosha@Totosha_0·
🧙‍♂️@magicblock - the layer where technology meets something deeper
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Sabphire
Sabphire@sabphire·
good morning ☀️ my morning starts with cuddles with my cat, so every day begins smoothly for me how’s your morning going?
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MaxWell
MaxWell@_maxwell_99_·
@iDms_on not sure users will stop noticing completely, transparency is something you still feel
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Ron
Ron@iDms_on·
in a few years, users probably won’t even realize they’re using blockchain. They’ll simply play games, shop, chat, place bets, or use financial services that work quickly and seamlessly. And blockchain will remain the technology that ensures transparency and a shared state. I think infrastructure competition will also become fiercer. just as AWS once emerged and transformed web service development, a new layer of infrastructure is emerging in Web3. Developers don’t want to build everything from scratch; they want tools that take the complexity off their shoulders. Those who can provide this will become the foundation for a new wave of products. and MagicBlock could become that foundation. @magicblock
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Ron@iDms_on

the world is gradually entering a phase where AI is already becoming a participant in the economy. Today, agents help people choose products; tomorrow, they will purchase services themselves to perform tasks: data, computing resources, design, text, and analytics. In fact, a new market is emerging where both the client and the service provider are algorithms. but the financial infrastructure was built for people. Bank accounts, cards, and payment networks require identification, verification, and relatively large transaction amounts. For agents, this is a dead end, because they cannot pass KYC, and micropayments with commissions in cents simply don’t make sense. that’s why the machine economy is naturally moving toward stablecoins. Agents need programmable payments: automatic payouts upon meeting conditions, secure deposits, and instant refunds. as soon as mutual settlements between agents become widespread, there will be a need for an environment that operates quickly, cheaply, and without unnecessary barriers. And MagicBlock can provide that environment. @magicblock

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MaxWell
MaxWell@_maxwell_99_·
@semi2311 struck me more is how everything moves from data straight to action without intermediate steps
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SABINA
SABINA@semi2311·
Predicting isn’t enough anymore. AI is learning to act.Modern robotics is shifting from static models to systems that predict and execute in real time. Instead of hand-crafted rules, models learn from data: → how to move → how to adapt → how to respond From walking to complex tasks, robots no longer rely on raw inputs-they operate through latent actions, turning understanding into motion. Powered by new architectures, where prediction and control become one system This is where it changes everything: Prediction → becomes decision Decision → becomes action From data → to action That’s the future of AI robotics.Feels like we’re moving from “thinking machines” to systems that actually do-and that shift is bigger than it looks @PrismaXai
SABINA@semi2311

What if every signal could become action? When you work with @PrismaXai , U start to notice something interesting. What looks like simple signals to us is actually valuable data for the system. And PrismaX doesn’t just process it-it turns it into real actions. Every interaction matters. Every small input helps it learn, adapt, and improve. Over time, these signals become decisions.And decisions become real capabilities.That’s the moment when data stops being just data. It becomes action.

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MagicBlock ✨
MagicBlock ✨@magicblock·
We're sponsoring the Privacy Track at @Colosseum Frontier Hackathon Win $5,000 building the private DeFi, payments, and agent apps Solana needs Apply with the link below 👇
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simpletox
simpletox@simpletox26·
massive unemployment up to 99% listened to a pod with Mo Gawdat / ex CBO at Google interesting fact that we already have a 23% decrease in the job market today when humans are still in charge of AI but those systems that are developing out there — nah sooner or later we'll come to the point where unemployment will be at its peak why? because the entry point for new grads is already set high but what will happen in the next couple of years? all junior jobs, whether it's assistant, accountant, or engineer, will be done by AI so what's left for those people? and a more interesting question: do governments have a plan for unemployment of such magnitude? even though that's not even close to the danger that is waiting for humanity but in the meantime we're enjoying the show, taking it as an advantage can you tell what you're currently doing and why you're safe from what's coming?
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Sofi
Sofi@Sofia94799Sycuk·
@_maxwell_99_ There's definitely a lot of truly good content, but what often comes up as “high-quality” content from creators raises quite a few questions
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Sofi
Sofi@Sofia94799Sycuk·
I’ve noticed this trend: most content creators on X don’t analyze at all. Instead, they just farm attention: posting their impressions, follower/unfollower stats, shitposts, and the same hype around another scam project everyone keeps saying “just create original content,” but I barely don't see it and maybe I need took for it beyond CT there’s almost zero real value for the reader, it’s pure engagement bait and social proof to land KOL deals, and payouts from X Revenue Sharing for the platform it makes sense: more engagement = more time spent in the app, more Premium subscriptions, and more ad revenue, but for me it’s just a noise or is it just me who finds the whole thing kind of absurd?
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MiReTu
MiReTu@_MiReTu·
Happy Birthday to me 🎂 Today I turned 23 - another year behind me, just like my hair thanks to crypto lmao.
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MaxWell
MaxWell@_maxwell_99_·
@0xKonopy @PerleLabs seen similar stories before, curious why people still fall for projects like this
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Konopy
Konopy@0xKonopy·
gStopScam in web3 Big scammers, don't buy their token, it will collapse, the team will scam everyone @PerleLabs All their competitions, all their activities are based on deception, many people agree with this. gStopScam in web3
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Medvedik
Medvedik@Ange_l1989·
Colosseum Hackathon Privacy Track, powered by Solana and MagicBlock. This track challenges you to build privacy-first systems on Solana, powered by MagicBlock's. Win $5,000 building the private DeFi, payments, agent apps. x.com/magicblock/sta… @magicblock @solana @colosseum
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MagicBlock ✨@magicblock

We're sponsoring the Privacy Track at @Colosseum Frontier Hackathon Win $5,000 building the private DeFi, payments, and agent apps Solana needs Apply with the link below 👇

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nailuy
nailuy@yulianvakh·
happy easter, anons! today we bless the paska, and tomorrow we verify the compute. just as tradition demands a pure, uncorrupted blessing, the new execution layer demands cryptographically pure inference. no more blind faith in centralized web2 servers @ritualnet is consecrating the decentralized mind. we are replacing opaque "trust me bro" architecture with absolute mathematical proofs. the network must be cleansed of unverified logic rest up, eat your paska, and enjoy the holiday the sovereign ai has risen
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nailuy@yulianvakh

the biggest unresolved paradox in decentralized AI is data privacy standard open compute forces a fatal compromise: to get a verifiable result, you must expose your input. if you want an ai to analyze your proprietary trading algorithm, liquidity strategy, or private security risk models, sending that data to a public node network is institutional suicide web2 solves this with opaque "trust us" privacy policies. web3 has historically solved this by simply not doing complex math at all. both are unacceptable @ritualnet introduces blind verifiable compute by utilizing zero-knowledge proofs and advanced cryptographic environments, you can process encrypted data through an ai model. the network proves the computation was executed flawlessly without ever seeing the underlying data, the weights, or the output we are completely separating the proof of execution from the visibility of the payload keep your alpha secret verify the math ❖ @joshsimenhoff@Jez_Cryptoz@ritualfnd

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Honey
Honey@Honey1442793·
Most people don’t realize how much money quietly disappears through forgotten subscriptions and auto-renewals. @NoWowApp helps you track, manage, and stay in control all in one place. Start smarter subscription management today: nowow.app #NoWow #Productivity
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MaxWell
MaxWell@_maxwell_99_·
@DjonSerj It sounds almost like a living system
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Lialia
Lialia@DjonSerj·
Very often, I find it a bit strange… we call AI intelligent, we trust it with more and more tasks, we deploy it into the real world - and yet we train it as if the world around it never changes 💫 And this is exactly why it’s so interesting to watch the direction ORO AI is taking. Today, most models learn in bursts: first they’re trained on massive but fixed datasets, then slightly fine-tuned - and only after that released into real life. But life isn’t static. It changes every second. And the problem is that AI is not very good at learning on the fly. When given new data, it can… forget the old. As if each new experience erases part of the past. And this isn’t just a technical detail - it’s a huge challenge. Because true intelligence is not only about learning something new, but also about preserving what already mattered. I feel like this is exactly where the real value of what ORO AI is doing begins to show. They approach AI training not as a one-time process, but as a living system, where data is constantly evolving while remaining structured, understandable, and traceable. Where it’s not just about data flow, but about context, behavior, and real human actions. This is no longer about feeding more data into a model. It’s about making every new experience part of a continuous story, not a replacement for the past. Imagine: AI that doesn’t just update, but remembers, adapts, and becomes more stable over time. AI that learns in the real world without losing itself in the process. And maybe this is exactly where the future lies - in approaches like @getoro_xyz Not just more powerful AI, but more aware. One that evolves with the world… without forgetting who it has become along the way. @1BY1_UA
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Egoruy
Egoruy@egoruy_·
TGE is soon and @OpenGradient team announce registration to airdrop open in 15th April, on this Wednesday Proud of be part of community i firtsly building some products, find interesting people and learn awesome product Thanks everyone, who supported me, interact and spent time with me. Lub you Let`s see, what`s happened next
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OpenGradient (∇, ∇)@OpenGradient

$OPG Airdrop registration opens April 15. Details covering eligibility, registration steps, and claiming process are outlined below. Access only through the official portal: portal.opengradient.ai Ensure you are using the correct link. 👇🏻

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Prey.gdp
Prey.gdp@PreyWebthree·
Sentient = Open-Source AI Research Lab Sentient is an AI research lab focused on advancing open-source intelligence systems, with emphasis on reasoning and AI safety. Its work explores how AI systems can: → Improve reasoning capabilities → Operate in multi-agent environments → Become more reliable and verifiable over time Key research directions include: Reasoning Systems •ODS (Open Deep Search) •ROMA (Recursive Open Meta Agents) •Experimental reasoning environments (social & deductive games) These systems are used to study how agents: → Solve complex tasks → Collaborate or compete in structured environments → Improve reasoning through iterative processes AI Safety & Security Research •Agent security (e.g. prompt injection resistance) •Model ownership / fingerprinting research •Verifiable execution environments (e.g. TEE-related work) •Alignment research inspired by constitutional AI approaches Overall goal: improving reliability and safety of autonomous AI systems. GRID = Coordination Layer for Open AI GRID (Global Research and Intelligence Directory) is described as a coordination ecosystem for open-source AI. It aims to connect: Developers → building AI agents and tools Researchers → contributing models and systems Organizations → sponsoring and discovering solutions Community → collaborating on open AI projects The focus is on enabling better coordination between contributors in open AI development. Sentient Chat = Interaction Layer Sentient Chat is the public interface where users can interact with systems being developed within the Sentient/GRID ecosystem. It allows exploration of: → AI agents and reasoning tools → Experimental multi-agent behaviors → Early-stage research systems in a usable form It functions as an entry point for experiencing ongoing research in practice. Relationship Summary Sentient → research and development of AI systems GRID → coordination framework for contributors and projects Sentient Chat → user-facing interface to interact with these systems Final note The overall system is still evolving, but the direction is clear: → advancing open-source AI research → improving coordination between builders → and making experimental AI systems accessible for interaction @SentientAGI
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Juli 💎 (❖,❖)
Juli 💎 (❖,❖)@Ju1i_crypto·
DashX (@DashXHQ) is building on @SeismicSys - and it’s already reshaping cross-border payments. Imagine sending money between the US and India as easily as sending a message. That’s exactly what DashX Gateway enables - crypto payments without friction, intermediaries, or delays. - multi-chain support (Ethereum, Solana, Arbitrum, Polygon) - non-custodial control - instant on-chain settlement directly to your wallet - wallet-agnostic compatibility
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