In August I attended @MrKrabb_ degen classes I went in thinking I already knew a bit about trading, but that class really humbled me I spent September putting everything I learned into practice, testing strategies, learning from my mistakes, and finding what really works for me It wasn’t easy, but I can confidently say I’ve grown a lot Now I’m finally ready to share my skills with you guys This October’s all about applying what I’ve learned, trusting my process, and sharing

Tokenized assets are entering a completely different phase right now They're not just sitting there as digital representations anymore, autonomous agents are actually starting to interact with them which means infrastructure has to work completely differently Once you tokenize an asset it still needs to be governed, transferred, audited and managed. But when you add agents into the mix it gets way more complicated because they need to operate automatically while staying compliant That's the exact problem @Brickken is solving with this Taiko deployment They're not just putting assets on-chain, they're building an infrastructure that lets those assets operate with agents while keeping everything safe and within the rules @Brickken handles the compliance and tokenization side while Taiko provides the execution environment where it all actually works together Super excited to see this take off in full swing

AI has mostly followed the same pattern for years A few companies build the models, own the infrastructure, and decide how everyone else interacts with the technology Decentralized AI is interesting because it challenges that model. @River4fun $RIVER Instead of intelligence being controlled from one place, it can be built across networks of contributors, developers, computing resources, and communities. @RiverdotInc That changes more than just the technology It changes who gets to participate. One reason people are paying attention is incentives. When people contribute computing power, data, models, or improvements, there is an opportunity for value to flow back to contributors instead of staying concentrated with platform owners. @useTria The timing also makes sense. AI is becoming more important across almost every industry, while blockchain continues pushing ideas around ownership, coordination, and decentralization. @quipnetwork Combining both creates opportunities that neither industry could fully unlock alone Ownership is another important piece. Traditional systems often collect data and value inside closed platforms Decentralized AI introduces the possibility that users have more control over their contributions and can participate more directly in the ecosystems they help build. @NomismaNetwork The infrastructure side matters too. Instead of relying entirely on large centralized providers, networks can distribute computing resources across many participants. @TheARCTERMINAL That creates systems that can become more resilient, flexible, and scalable as adoption grows What makes the space exciting is not only the technology itself. It is the idea that innovation becomes more open Builders, researchers, and communities can collaborate on shared systems without depending entirely on centralized gatekeepers. @wallchain That shift alone could change how AI evolves over the next decade

One of the more interesting things happening in AI right now is that people are starting to question whether intelligence should really be controlled by only a few companies. @NomismaNetwork For years, most AI systems have followed the same structure: a few companies build the models, control access, and everyone else uses what they create. Decentralized AI introduces another approach Instead of intelligence being controlled from one place, networks of people, developers, devices, and contributors all play a role in building and improving the system A big reason people are paying attention is incentives. @useTria When people contribute computing power, data, feedback, or models, there is an opportunity for value to flow back to contributors instead of only platform owners That creates systems where growth and participation become more connected. Security also starts to look different. Rather than relying entirely on one provider, trust can be spread across multiple participants and systems. @River4fun $RIVER That does not automatically solve every problem, but it can reduce dependence on single points of failure and create systems that are harder to disrupt. @RiverdotInc Collaboration is another reason this space is moving quickly Builders can work on shared infrastructure, improve existing systems, and create new applications without always starting from zero. @quipnetwork As computing becomes more distributed, devices like phones, laptops, and smaller systems may also play a bigger role in how AI networks operate. @3look_io Over time, specialized AI systems could begin working together across different tasks, creating networks that are more flexible and capable. @TheARCTERMINAL The bigger idea is simple: AI gradually stops feeling like something controlled by a few organizations and starts feeling more like infrastructure that more people can participate in building and improving together. @wallchain

The conversation around AI is slowly changing from who builds the smartest models to who controls access to intelligence in the first place. @NomismaNetwork For years, the system has mostly looked the same: large companies build the models, own the infrastructure, and decide how everyone else interacts with it Decentralized AI challenges that structure by spreading intelligence across networks of people, data, computing resources, and contributors instead of concentrating everything in one place Part of what makes this interesting is ownership. @useTria People contribute data, feedback, usage patterns, and computing resources every day, yet most of the value created stays with platforms Decentralized systems introduce a different model where participation itself can become valuable and contributors become part of the ecosystem they help grow The infrastructure side matters too. Instead of relying only on massive centralized systems, distributed networks allow computing power to come from many sources. @River4fun $RIVER That creates systems that can become more flexible, scalable, and resilient over time. @RiverdotInc Trust is another important piece. When systems become more distributed and transparent, fewer decisions depend entirely on one company controlling access, policies, or development paths. @quipnetwork For builders, this opens new possibilities because developers, researchers, creators, and communities can build on shared infrastructure rather than starting from zero every time. @3look_io As AI agents become more capable, networks of specialized systems working together may become normal rather than exceptional. @TheARCTERMINAL The bigger shift is simple: AI starts looking less like a product controlled by a few companies and more like infrastructure that many people can build, improve, and benefit from together. @wallchain

Decentralized AI is becoming interesting because it changes a simple idea: who gets to build intelligence in the first place. @XOOBNetwork Right now, most AI works the same way A company builds the model, controls the system and everyone else uses what they are given Decentralized AI pushes against that model Instead of one company controlling everything, intelligence can be built across networks of contributors, data sources, and computing power That changes how people participate. Users are not only consumers anymore. They can contribute data, computing resources, feedback, or improvements to help make the system better. @useTria The way these systems learn also starts to look different Traditional AI is usually built, trained, and released Decentralized systems can continue improving through network participation and shared input. @River4fun $RIVER That makes intelligence feel less fixed and more adaptable. @RiverdotInc There is also the reliability factor When too much depends on one provider, the entire system depends on that provider staying online, maintaining access, and keeping the rules the same Distributed systems reduce that dependency. @quipnetwork The economics change too. Instead of value flowing only to platform owners, contributors can also benefit from helping improve the network. @TheARCTERMINAL Maybe that is the biggest shift. AI stops feeling like something a few companies own And starts feeling more like infrastructure that everyone can build on together. @wallchain

Decentralized AI feels bigger than simply changing where models run It changes who gets to participate in intelligence itself. @XOOBNetwork For years, the default assumption has been simple: - a few companies build. - everyone else consumes Decentralized AI challenges that structure. Instead of intelligence living behind one system, it becomes something created across networks of contributors, data, compute, and specialized models That changes scale, that changes control and maybe more importantly, it changes access Because once intelligence becomes open infrastructure, participation becomes easier than permission. @useTria People with compute contribute compute, people with data contribute data and builders contribute applications The network grows because contribution itself becomes part of the design Ownership changes too. Traditional systems absorb user input into closed environments Decentralized systems create opportunities for contribution to remain visible, traceable, and sometimes rewarded. @River4fun $RIVER That turns users into participants. And participants into stakeholders. @RiverdotInc The training process evolves as well. Instead of intelligence being shaped inside isolated environments, learning can happen across distributed systems and different contexts. @quipnetwork This means more inputs, more environments and more adaptability For builders, this creates a completely different playground. Intelligence stops being a single API call and starts becoming composable infrastructure. @3look_io Models, data, compute and networks are all connected and reusable Almost like assembling cognition from building blocks. @Appreciators_IO And economically, the system becomes more interesting too Because when contribution creates value, participation becomes an incentive layer itself. @TheARCTERMINAL The result is not simply decentralized software. It is intelligence that grows because many people help build it

Decentralized AI gets more interesting the deeper you look at it because it quietly changes something fundamental: where intelligence actually lives. @XOOBNetwork Instead of being concentrated inside one company’s system, it starts to exist across a network of participants, machines, and data flows. Not owned, not fixed just continuously distributed and reassembled That shift alone changes the entire model. Because now, intelligence behaves less like a product and more like a living network One of the most powerful implications is permissionlessness. You don’t wait to be approved anymore. @3look_io You just contribute, build and improve Innovation stops being gated and starts becoming open participation at scale. Then comes trust In centralized AI, trust is placed in the provider because the system is mostly invisible In decentralized systems, parts of the process can be verified across nodes and contributors. @useTria Not perfect transparency. But distributed accountability, a different kind of trust model Another shift is specialization. Instead of one model trying to do everything, intelligence becomes modular. @River4fun $RIVER Different systems handle different roles and work together as a stack Plug-and-play intelligence instead of monolithic systems. @RiverdotInc Economically, this introduces a new incentive loop Compute, data, and contribution can be rewarded directly at the network level. @quipnetwork That turns participation into something self-reinforcing: the more useful you are, the more value you can capture, and the more the system grows At its core, this starts to look like infrastructure rather than software. A shared intelligence layer that anyone can interact with, build on, and extend. @TheARCTERMINAL And over time, the biggest shift may not be technical at all. It’s behavioral AI stops being something you “use”… and becomes something you participate in A system that improves every time someone interacts with it. @Appreciators_IO

Real-world assets just hit an all-time high between $31B and $37.5B And market projections show this could hit $1.6T by 2030. That kind of projected growth is already pulling attention from serious players They're already looking for where the infrastructure is and which platforms can scale with capital like theirs @Brickken has been building exactly what they need They positioned themselves exactly for this moment

The biggest question around AI might not be how intelligent it becomes It might be who controls it Right now, most AI systems operate the same way: - few owners. - few decision makers. - few places where power exists. @XOOBNetwork That model works But it also creates dependence. Access can change. Rules can change Entire ecosystems can shift overnight. @useTria Decentralized AI introduces a different idea What if intelligence worked more like networks instead of products? What if training, compute, and data came from many participants rather than a handful of companies? @River4fun $RIVER Instead of concentrating intelligence, the goal becomes distributing it That changes incentives Contributors can earn from participation. Developers can build faster on shared infrastructure Researchers can collaborate without waiting for permission. @RiverdotInc This is why infrastructure matters Because decentralized intelligence is not only about models It is about creating systems capable of growing from collective input. @quipnetwork Transparency also becomes more important When more parts of the process are visible, trust becomes easier to build and harder to fake. @3look_io And perhaps the biggest shift is this: - AI stops looking like a standalone product - It starts looking like infrastructure. @TheARCTERMINAL - Something applications connect to - Something ecosystems build around - Something everyone helps improve If that happens, intelligence may eventually scale less like software companies... and more like the internet itself. @Appreciators_IO

There was a time when crypto mostly rewarded visibility Now it feels like it rewards resilience. Every cycle creates thousands of new projects, but fewer people are asking "what is pumping?" More people are asking "what still works six months later?" @XOOBNetwork That shift changes everything and ssers are becoming less patient If onboarding feels difficult, if products are slow, if utility is unclear, attention disappears quickly. @useTria The competition is no longer only between blockchains It is between experiences At the same time, projects are discovering something important: communities built only around price rarely survive difficult periods Communities built around participation usually do. @River4fun $RIVER People stay where they feel involved. That is why ecosystems are becoming more connected and interactive. @RiverdotInc A lot of the most important work is also happening where most users are not looking Infrastructure Scaling Data Cross ecosystem communication. @quipnetwork These things rarely create headlines. But they often determine who is still around years later Even market behavior is changing. Wallet activity, usage patterns, and network participation are becoming signals people watch closely. @TheARCTERMINAL And with increasing pressure around regulation and sustainability, projects are being forced to think beyond short cycles. @3look_io Crypto still moves fast. But it feels like the industry is slowly replacing noise with systems that are designed to survive That transition may end up being the most important change happening right now. @Appreciators_IO

Crypto right now feels like an industry going through a separation phase Some projects are optimized for the next few weeks Others are building for the next few years. @XOOBNetwork And the difference between both groups is becoming easier to spot One noticeable change is how people define value now Price still matters But increasingly, users care about whether something actually improves how they interact with digital finance and online systems. @useTria Products that create friction lose attention quickly Products that simplify things tend to keep it Communities are changing too. The strongest ecosystems today are not built around passive holders They are built around participation. @River4fun $RIVER People stay longer when they feel connected to what is being built rather than simply watching from the sidelines. That is why ecosystem design matters more now. @RiverdotInc Meanwhile, infrastructure keeps becoming more important. Scaling, interoperability, and data layers are not the most exciting conversations But they are usually the reason some systems survive while others disappear. @quipnetwork Regulation is also quietly changing how projects operate Teams are thinking more about sustainability, structure, and long term legitimacy rather than only speed. @3look_io And onchain activity is becoming harder to ignore Markets are increasingly influenced by what users actually do instead of only what people say. @TheARCTERMINAL In many ways, crypto still has the same energy But it feels more selective now. The projects that survive will probably be the ones that combine strong infrastructure, useful products, and communities people genuinely want to stay in. @Appreciators_IO

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🔵 @GateEU_Official x @GibCryptoNews / Monaco On June 6th we are heading to the iconic Monaco @F1 Grand Prix to sit down with Gate EU CEO, Giovanni Cunti for an exclusive interview. Stay tuned. Big insights coming from the paddock in Monaco! In the meantime, use the link below to sign up to Gate EU👇

Crypto today feels less like one market and more like multiple experiments happening at once Some teams are building infrastructure. Others are still chasing attention. And every cycle, the difference becomes easier to spot. @XOOBNetwork Narratives still matter, but execution is becoming the real filter One major shift is how projects are now judged by actual usage Talking about decentralization is no longer enough. People want to see wallets active, transactions happening, and users interacting with products consistently. @useTria The chain itself is becoming the scoreboard At the same time, ecosystems are replacing isolated products. Instead of building single-use platforms, projects are connecting finance, identity, gaming, social layers, and infrastructure into larger experiences. @River4fun $RIVER The goal is no longer attracting users for a day. It is keeping them inside an ecosystem That is changing how value flows across networks. @RiverdotInc AI is also moving beyond headlines. What started as hype is gradually becoming practical infrastructure through automation, analytics, personalization, and smarter user experiences. @quipnetwork Expectations are changing quickly Attention, however, remains one of crypto’s most valuable assets. Technology alone rarely wins Distribution, communities, creators, and engagement increasingly determine which products survive long enough to scale. @3look_io And underneath everything sits liquidity. Every system still depends on capital movement, but behavior is changing. Users are becoming participants rather than just traders. @TheARCTERMINAL Overall, crypto feels like it is moving through a transition period The noise still exists But underneath it, infrastructure is quietly improving. @Appreciators_IO The next winners will likely be projects that combine strong execution with products people actually use every day

Web3 has spent years building for people already inside the ecosystem The next wave of adoption will come when users don't need to think about wallets, bridges, gas fees, or complicated off-ramps That's where @KoloHub stands out. By removing geo restrictions, reducing compliance friction, and making stablecoin payments feel as seamless as using cash, it turns blockchain into something practical rather than technical Funds remain secure onchain until the moment of payment, with conversion handled in the background Institutions already move billions through efficient financial rails. Everyday users deserve the same level of reliability, speed, and confidence when managing their money

Crypto right now feels less like a market and more like a digital movement evolving in real time. @useTria Every cycle introduces new technology, stronger communities, and better ways for people to coordinate online. But this phase feels different because the infrastructure is maturing, builders are becoming more focused, and products are finally becoming easier for everyday users to understand What once looked experimental is starting to look inevitable. Stablecoins are gradually becoming internet-native money, decentralized systems are streamlining processes behind the scenes, and utility is beginning to catch up with the narratives that have driven the industry for years That combination is usually where major growth phases begin One reason crypto continues moving so fast is because it operates at internet speed. @River4fun $RIVER Entire ecosystems can form within months while traditional industries may take years to adapt. Communities coordinate instantly through social platforms and on chain networks, allowing ideas to spread globally almost overnight. @RiverdotInc If an idea resonates strongly enough, even a small project can suddenly become part of a global conversation. Attention itself has become a form of digital capital, and crypto understands that dynamic better than almost any industry today. @quipnetwork The crossover between AI and blockchain is also pushing the space into a much larger conversation. @XOOBNetwork As AI systems become more advanced, they will likely require identity, memory, ownership, and economic coordination layers to operate effectively online. Blockchain technology naturally fits into that direction because it offers transparency, persistence, and decentralized control AI agents interacting with on chain systems no longer feels theoretical. Developers are already building toward that future now And that is where crypto starts becoming bigger than finance alone. @3look_io Gaming and creator economies are evolving in a similar way Creators and users increasingly want ownership over their digital identity, communities, and assets instead of contributing value to platforms without meaningful participation. Blockchain systems make that shift possible by allowing users to benefit from the ecosystems they help grow. @TheARCTERMINAL The relationship between platforms and communities is changing completely. Online culture is becoming more interactive, more community-driven, and increasingly tied to digital ownership What keeps crypto alive through every cycle is the belief that the internet itself can evolve into something more open and user-owned. @Appreciators_IO Even during difficult market conditions, builders continue creating because the long-term vision remains larger than short-term price action Every cycle filters out weak ideas while strengthening projects focused on real utility and sustainable infrastructure Most people still focus only on charts and speculation, but underneath that noise an entirely new digital coordination layer is quietly being built across finance, AI, gaming, identity, and online communities The people paying attention early are usually the ones best positioned for what comes next

Crypto these days feels like a jungle full of people chasing 100x gains and wild trades But honestly I just want to pay rent, grab groceries and live life without the chaos That's why @KoloHub feels different It's not a betting game. It's an actual bridge between crypto and everyday spending No frozen funds. No crazy fees. No waiting days to access your money You tap your card and the conversion happens instantly. Your crypto stays safe in your wallet until the moment you actually need it Finally a way to use crypto without the stress that usually comes with it This is what practical crypto looks like

Crypto is great to buy and hold but actually using it every day is still a mess for most people That's where @KoloHub comes in Load up your card with BTC, ETH, USDT or TON. Spend it on coffee, food, bills, shopping, whatever. Visa acceptance plus crypto to cash swap means it works everywhere Apple Pay and Google Pay integration makes it feel like using normal money And you get cashback on every purchase Finally crypto that's not just sitting in your wallet waiting for the next pump This is what usable crypto actually looks like

Crypto today reminds me of the early internet Back then, most people only saw websites and email. They couldn't see the infrastructure quietly being built underneath that would eventually change how the world communicates, works, and does business A similar thing is happening now While headlines focus on price action and market narratives, builders are working on systems that make digital ownership, payments, identity, and online coordination more practical than ever. @XOOBNetwork Stablecoins are already moving billions across borders, DeFi continues to evolve beyond simple trading, and the combination of AI and blockchain is opening new possibilities around data, ownership, and autonomous systems. @TheARCTERMINAL What's even more interesting is that crypto is becoming easier to use A few years ago, users had to learn wallets, gas fees, bridges, and countless technical concepts just to participate. Today, the strongest teams are focused on removing that complexity entirely. @useTria The end goal isn't to make everyone understand blockchain. It's to make the experience so seamless that people benefit from it without needing to think about the technology at all We're also seeing a major shift in how online communities create value. Attention is no longer just something platforms monetize. Communities themselves are becoming economic networks where participation, influence, and contribution can carry real value. @River4fun $RIVER That's why SocialFi, decentralized identity, and community-driven ecosystems are gaining traction. The relationship between creators and audiences is becoming more direct, and online communities can often move faster than traditional organizations. @RiverdotInc On the infrastructure side, the conversation is maturing as well More teams are focusing on scalability, intelligent data systems, gaming infrastructure, and ownership frameworks that can support long-term adoption. @quipnetwork The focus is gradually shifting from launching tokens to building products people can actually use And that's what makes this stage of the market so different Crypto is no longer being watched only by traders. Governments, institutions, startups, creators, and everyday users are all paying attention. @3look_io Not every project will survive, and hype will always exist, but the broader trend remains clear: the industry is moving closer to becoming a foundational layer of the modern internet. @DeCharge The biggest opportunities often emerge before the majority recognizes where things are heading

Crypto already changed how people think about money What @KoloHub is doing is changing how people actually use it It's a cleaner bridge between digital assets and everyday spending. Use crypto globally. Move from wallet to payment without friction. Earn BTC rewards automatically. Send value across borders without hitting walls No extra steps. No unnecessary banking barriers Just a simpler way for crypto to actually fit into real life instead of feeling like a separate thing you have to manage This is what makes the difference between people holding crypto and people actually using it