CryptRick

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CryptRick

CryptRick

@CryptRickDAO

Welcome to CryptRick Powered by InfoFi. Here, we break down crypto, blockchain, and finance in plain language. Giving full insight and info on @0g_labs

Inscrit le Eylül 2025
1.8K Abonnements927 Abonnés
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CryptRick
CryptRick@CryptRickDAO·
How do you know a model wasn't tampered with? 0G_labs has launched "Proof of Train" (PoT). By generating cryptographic proofs during the training process, 0G ensures that the resulting weights are exactly what the developer intended. True integrity for the AI age.
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CryptRick@CryptRickDAO

User experience meets enterprise security! Through the Apollo Accelerator, 0G_labs is integrating @privy_io wallet solutions. This allows AI dApps to offer seamless, production-grade onboarding, making it easier than ever for non-crypto users to interact with DeAI.

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D-Vortex
D-Vortex@BinaryPioneerX·
I didn't see this coming 😐😌 From 53 points on day 1… to just 4.4 points on day 2. If you know what I’m doing wrong, drop it in the replies and let me know 👀 Nevertheless, I’m still locked in 🔥 @RiverdotInc is cooking the future of DeFi — chain-abstraction stablecoins with satUSD. Collateralize on one chain, mint & earn yield on another… no bridges needed. Are you still tweeting @River4fun ?? Maybe it’s time to wake up and start stacking more $RIVER points before it’s too late. 37 days left till Season 4 ends everyone…. Are you locked in or you just watching? 👀 Let’s goooo $RIVER fam 🚀
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D-Vortex@BinaryPioneerX

For you guys saying that your points have not been updated after writing about $RIVER today, you can actually wait till tomorrow to confirm if your points are added or not. Also, ensure you tag @RiverdotInc and @River4fun in all your posts. Engage with other people's posts about $RIVER and see your points grow. If you're yet to join, you can check out the link in my pinned post. Let's keep growing.

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~SM
~SM@abubakar_s75243·
.. @permacastapp turns content into lasting, AI-ready knowledge that compounds over time. @dango streamlines interaction through simple, smart automation. With @0G_labs and DGrid decentralizing inference, AI shifts to open, scalable, and resilient networks built for the future.
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~SM@abubakar_s75243

..@permacastapp ensures data lives forever, preserving valuable information beyond platform lifecycles, @dango turns interaction into value & dgrid_ai decentralizes the inference layer for scalable, resilient AI execution while @0G_labs connects & strengthens the entire ecosystem

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PrinceOfCrypto📈📉| Web3
PrinceOfCrypto📈📉| Web3@JamesPrinc61094·
The problem isn’t effort, it’s recognition. Too many systems reward visibility over real contribution. When value can’t be measured or carried forward, it gets lost. With @dgrid_ai and @permacastapp, quality stands out, and real work finally compounds. #DGridAI #Permacastapp
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mack kevin
mack kevin@Opium_1·
AI’s future isn’t just about building bigger models it’s about improving the quality of the data they learn from As models begin training on their own outputs quality starts to degrade errors compound and originality fades this is known as model collapse What I find interesting about Perle is how it tackles this at the core level Built by ex Scale AI professionals and backed by strong funding it focuses on expert driven annotation combined with on chain provenance Every contribution is recorded and verifiable meaning datasets are no longer blind inputs but traceable sources of truth This creates a system where human expertise anchors AI to reality while feedback loops continuously improve data quality over time Not just better data but sustainable intelligence that does not decay From blind trust to transparent and accountable systems #PerleAI #ToPerle participating in PerleLabs community campaign
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GEGE💙
GEGE💙@D_realGege·
What You Build Today Should Still Make Sense Tomorrow. A strong digital system is not defined by how fast it moves, but by how well it holds meaning over time. Within the ecosystem connected to @permacastapp, content is structured to retain context, authorship, and relationships, allowing information to remain interpretable long after its creation. This transforms contribution into a long term asset rather than a fleeting interaction. It challenges a simple assumption. Are we creating content for the moment, or for continuity @dgrid_ai extends this thinking into how intelligence systems operate. Outputs are not treated as final answers but as part of an evolving process that can be revisited, assessed, and improved. This creates a system where learning is continuous and outcomes are refined through structured interaction. When systems are designed to preserve meaning and intelligence is designed to evolve responsibly, decentralized technology begins to reflect true depth rather than temporary activity.
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sʜɪғᴜ
sʜɪғᴜ@Sabbir69Here·
I just tried the new stock trading feature on Qwerti and honestly it changes a lot. Before this I had to use different apps for crypto and stocks which was always confusing and time consuming. Switching back and forth never felt smooth. But now Qwerti is bringing everything together in one place. You can trade crypto and also access stocks like Apple Tesla and more without leaving the platform. This feels like a big step towards combining traditional finance with DeFi in a simple way that anyone can use. If you are tired of using multiple apps this is definitely worth checking out app.qwerti.ai/?ref=69c-63369 @QwertiAI @__Soniiiaa #Qwerti
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AlphaSavant🐦‍🔥
AlphaSavant🐦‍🔥@Auwalsulai69118·
The day ends. The feed slows. But some accounts don’t log off they just shift gears. @wallchain doesn’t sleep. The system keeps tracking. Every post. Every reply. Every quiet moment you show up when no one’s watching. That’s what separates the ones who are building from the ones just passing through. So tonight, rest if you need to. But know that the consistency you stack today? It’s already counting toward tomorrow. Sleep well. The leaderboard will be there when you wake up.
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Ⓜ️ega Ⓜ️ind🤯(❖,❖)
I’m convinced the intersection of AI, decentralized infrastructure and permanent storage is where the real magic is happening right now. I’ve been keeping a very close eye on building the actual plumbing for this future. OG Labs. If we want decentralized AI to actually work at scale, we need massive data availability. 0G is stepping up to solve exactly that by building a ridiculously fast and scalable DA layer. It finally makes on-chain AI feasible without the bottlenecks. It’s the kind of foundational infrastructure you can't help but be bullish on. DGrid AI is tackling the compute side of the equation. The DePIN space is heating up, but dGrid stands out to me because they are actively democratizing AI compute. Instead of letting all that power sit in a few corporate data centers, they are decentralizing it and handing the power back to the network. It just makes sense for the future of AI. And of course, all this generated data and content needs a home that won't just disappear if a server goes down. That’s why I love what Permacast App is doing on the permaweb. Giving creators true permanent, censorship-resistant storage completely changes the ownership game. You create it once, and it lives forever. Seeing these pieces come together, scalable DA, decentralized compute and permanent data storage, gives me a lot of conviction in this space. The actual foundation of the next iteration of the web is being built right in front of us.
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Mr_Josephhh 🤖ボッ
Mr_Josephhh 🤖ボッ@Josephoffiong4k·
0GLabs, DGrid, and Permacast reveal how decentralized systems are moving from reactive design to anticipatory design, systems are no longer built to respond to failure, they are built to prevent it structurally. @0G_labs In most infrastructures, scaling problems only become visible after systems begin to fail under load. Data becomes unavailable, throughput collapses, and developers scramble to patch around bottlenecks. 0GLabs flips that model by designing for data intensity from the outset. Instead of treating storage and availability as secondary layers, it elevates them into primary protocol services optimized for high bandwidth environments like AI workloads. This means developers don’t wait for failure to expose weak data pipelines, they build on infrastructure that assumes heavy, continuous data interaction from day one. Over time, this creates a shift in how systems are architected. Applications are no longer constrained by what decentralized infrastructure can handle, they are designed based on what properly engineered infrastructure should already support. @dgrid_ai DGrid takes the same anticipatory approach to AI reliability. In traditional systems, validation often happens after outputs are produced, sometimes even after those outputs are already used in decision making. DGrid embeds validation directly into the inference process through Proof of Quality, where outputs are continuously evaluated across distributed nodes. Instead of reacting to incorrect or low-quality results after the fact, the system filters, scores, and economically enforces quality during execution. This changes how developers integrate AI into applications. Rather than building layers of post-processing checks, they rely on a system where correctness is part of the generation process itself. The result is a more resilient AI pipeline where failure modes are reduced before they propagate. @permacastapp Permacast anticipates a different kind of failure, the silent disappearance of content over time. Most digital media systems are built with an implicit assumption that storage is temporary, which forces developers to implement backup strategies, redundancy layers, and migration plans. Permacast removes this entire category of problems by anchoring content to permanent decentralized storage. Once media is published, it no longer requires ongoing management to remain accessible. Developers begin to design systems where content persistence is guaranteed rather than maintained. This reduces operational complexity while increasing reliability, shifting the focus from preserving content to building on top of content that is already preserved by default.
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Mr_Josephhh 🤖ボッ@Josephoffiong4k

0GLabs, DGrid, and Permacast show that decentralization becomes powerful when infrastructure aligns incentives with system behavior instead of relying on external enforcement. @0G_labs Data availability in decentralized systems often suffers from misaligned incentives. Providers may prioritize cost savings or short-term efficiency over long-term reliability, leading to inconsistent performance. 0GLabs addresses this by embedding economic incentives directly into the infrastructure layer. Data availability is not just a technical feature, it is something participants are rewarded for maintaining correctly. This alignment ensures that the system’s behavior naturally trends toward reliability without requiring constant oversight. Developers benefit from infrastructure where performance is not dependent on goodwill or reputation but on incentives that continuously reinforce correct operation. @dgrid_ai DGrid aligns incentives around output quality. In centralized AI systems, providers are not always directly penalized for low-quality outputs, especially when users lack visibility into performance metrics. DGrid changes this by tying economic rewards and penalties to measurable inference quality. Nodes that consistently deliver accurate results are rewarded, while poor performance becomes costly. This creates a competitive environment where quality is continuously optimized. Developers building on top of DGrid interact with a system that naturally improves over time because participants are incentivized to maintain high standards. @permacastapp Permacast aligns incentives around permanence. Traditional hosting models rely on recurring payments or centralized control to maintain content availability, which introduces risk if those incentives change. Permacast uses a model where storage is economically secured upfront, ensuring that content remains accessible without ongoing dependency on a provider’s business model. This removes the fragility associated with subscription-based storage and creates a system where permanence is economically guaranteed rather than operationally maintained. Developers can rely on content availability as a fixed property rather than a variable condition.

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Hanakhan 🤖ボッ
Hanakhan 🤖ボッ@hannn2223·
Dango’s Perp DEX is designed to make perpetual trading smoother and more dependable. It lets users trade leveraged positions without expiry, while solving common issues like slow execution, weak liquidity, and unfair pricing.
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Hanakhan 🤖ボッ@hannn2223

Permacast brings permanence into focus. In a space where content fades fast, it locks media and data onchainmaking it reliable, verifiable, and always accessible. Dango connects the system through automation. It simplifies complex processes into easy actions.

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Hanakhan 🤖ボッ
Hanakhan 🤖ボッ@hannn2223·
PermawebDAO takes ownership further by embedding control directly into content. Once stored, creators can define rules for access, attribution, and usage—like approvals for derivatives or paywalled previews. These rules stay with the data and are enforced by the network.
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Hanakhan 🤖ボッ@hannn2223

Permacast goes beyond podcasts it transforms ideas into lasting digital assets. In Web3, value isn’t just measured in tokens, but in information that endures. Platforms like this are quietly building a future where knowledge doesn’t disappear it grows over time

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OX Tional
OX Tional@OxTional042·
Most people think AI is about intelligence But the real shift is about ownership Who controls the models Who owns the outputs Who benefits from the intelligence being created Spending time around the Perle community made this hit differently for me It is not just about what AI can do, but about who gets to shape it, question it, and grow with it It feels less like a product being pushed and more like a system being co-created, where participation actually matters and your voice is part of the direction things take If you are trying to get involved, it is honestly simple but worth doing right Join the Discord first because that is where the real signal is discord.gg/perpl Then create something original about Perle, your thoughts, a perspective, even a creative take that reflects how you genuinely see what they are building Make sure you include #PerleAI #ToPerle and end your tweet with “participating in @PerleLabs community campaign” After that, submit your entry through the form and actually stay engaged, because the more real your presence feels, the more it shows in your content That is the difference between just posting and actually participating #PerleAI #ToPerle participating in @PerleLabs community campaign
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Tarik_DeFi
Tarik_DeFi@mdTarik1390649·
You might have come across @foruai recently. It’s working on turning online activity and reputation into a kind of on-chain asset that users can carry across platforms. With its integration into @BNBCHAIN, it could open up more use cases and broader reach for $FORU.
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Tarik_DeFi@mdTarik1390649

I recently looked into what @foruai is building with @BNBCHAIN and it caught my attention 👀 They’ve already completed their TGE, Public Sale, and Airdrop, and now $FORU is listed. From here, it seems like the focus is moving toward building user activity and reputation within the platform. One of the key ideas behind it is a reputation-based system using AI DID, where user identity and activity could play a role in how value is measured over time. The $FORU token is designed to support this system, linking participation and user behavior within the ecosystem. If you’re following AI and Web3 developments, this is a project worth watching as it evolves. 👀

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Marveltech
Marveltech@Marveltech13835·
One thing most people don’t realize is that AI is only as good as the data it has access to. And right now, most of that data is locked, fragmented, or controlled by centralized systems. That’s a limitation we don’t talk about enough. Permaweb changes that by making data open, permanent, and accessible. It creates a kind of global memory that anyone can build on. But memory alone isn’t intelligence. That’s where 0G enters the picture. 0G is building the infrastructure that allows AI models to actually run in a decentralized way, with scalable compute and data availability designed for massive workloads. When you connect that to Permaweb, you get something powerful: AI systems that can access permanent, uncensorable data and operate without relying on centralized backends. That’s not just a Web3 improvement. That’s a shift in how intelligence itself can be built and distributed.
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Mr Krabs 🦀
Mr Krabs 🦀@Defi_Krab·
Not every limitation in Web3 looks like a bug. Some of them look like normal behavior until you pay attention. Take AI integration for example. Most apps today plug into a single provider and move on. It works, but it quietly introduces dependency, limits flexibility, and makes the system more fragile than it needs to be. @dgrid_ai approaches this differently by building a decentralized AI smart network where access to multiple LLMs is abstracted behind one interface. Instead of committing to one model, developers can route requests dynamically, which makes the entire AI layer more adaptable and resilient. Then there’s the question of what happens after ideas are shared. Web3 communities generate a constant stream of insights through discussions, research, and governance, but most of that context fades over time. Not because it lacks value, but because it isn’t stored in a way that lasts. @permacastapp changes that by turning conversations into permanent knowledge on the permaweb, making it possible to revisit the reasoning behind decisions instead of starting from scratch. When you look at both sides, the pattern becomes clear. It’s not just about building smarter systems, it’s about building systems that can adapt without losing context. That’s where real progress starts to compound. @dgrid_ai @Permaweb_DAO
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Teebest
Teebest@cryptoForTEE·
Data is the new oil! Meanwhile, after months of shipping in the AI space, I've realized something darker that most of the smart AI we use is built on the back of ghosts If you've not seen @perlelabs, they're making the humans behind the Data visible again #PerleAI #ToPerle 🧵
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Ekwu Obinna C
Ekwu Obinna C@Mr_cornels·
Permacast – A Permanent Memory Layer for Web3 Permacast tackles the fleeting nature of AI‑driven insights by anchoring broadcasts, media, and generated knowledge to immutable storage solutions such as Arweave. The result is content that is censorship‑resistant, cryptographically timestamped, and forever reachable. Rather than relying on rented, mutable platforms, creators can now publish to a public, immutable infrastructure that outlives any single service, policy shift, or moment in time. DGRID – Decentralized AI‑Inference Network DGRID reimagines AI infrastructure for a trustless era. Instead of depending on centralized model hosts, it builds a distributed inference mesh where workloads are routed, verified, and executed across a global network of community‑run nodes. By combining AI RPC gateways, smart LLM routing, and token‑based incentives, developers can deploy and scale models cost‑effectively while eliminating single points of failure. Its “Proof of Quality” mechanism ensures that model outputs remain verifiable and reliable. OG Labs – Transparent, Inspectable AI Computation OG Labs addresses the opacity of modern AI systems. It designs an architecture where every computation flow, reasoning path, and memory transition is exposed and auditable by default. This transparency lets developers, enterprises, and regulators examine, validate, and improve AI behavior as it evolves - an essential capability for fostering trust and broader adoption as decentralized AI moves into real‑world use cases. LightLinkChain – Streamlined User Interaction LightLinkChain reduces the friction that often deters participation in decentralized platforms. By simplifying complex user experiences and making costs predictable, it encourages more frequent and confident user actions. Greater, steadier participation improves overall system coordination and efficiency. Together, Permacast, DGRID, OG Labs, and LightLinkChain illustrate a maturing convergence of AI and Web3, delivering permanence, decentralization, transparency, and usability to the next generation of digital infrastructure.
Ekwu Obinna C@Mr_cornels

DGRID AI DGRID AI introduces a fresh model for digital entrepreneurship - one where technical expertise becomes a tradeable, scalable asset. Developers are free to experiment, iterate, and launch AI-powered products while maintaining complete authority over how they're priced and distributed. This level of ownership fosters bold experimentation and faster development cycles. In practice, DGRID AI functions as an incubator where individual contributors can establish lasting, self-sustaining ventures within the platform's broader ecosystem. OG Labs What distinguishes OG Labs is how it bridges the gap between visionary thinking and real-world delivery. Big ideas aren't left to float aimlessly - they're anchored by clear operational structures and execution strategies. This disciplined approach ensures that ambitious concepts don't stall out but instead become tangible, deployable initiatives. The result is a portfolio of projects that feel both forward-thinking and grounded in reality. Permacast In an era where so much of our digital lives feels temporary, Permacast tackles the growing need for intentional preservation. It provides a purpose-built space where memories, insights, and personal milestones can be stored with care and intention. Rather than letting experiences slip away into fragmented feeds, Permacast helps transform them into lasting, shareable heritage - something that can be revisited and passed on. LightLink Chain LightLink occupies a crucial piece of the infrastructure puzzle. Converting AI-driven intelligence into real economic action demands execution layers that don't penalize users halfway through a transaction. By eliminating gas fees and smoothing out unpredictable cost spikes, LightLink ensures that AI applications can operate in continuous behavioral loops without disruption. The rails stay smooth; the flow stays unbroken. The bigger picture These projects are laying groundwork without fanfare - quiet, deliberate progress across entrepreneurship (DGRID AI), execution frameworks (OG Labs), digital preservation (Permacast), and frictionless infrastructure (LightLink). The build continues.

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Tao🌺
Tao🌺@Alicia_10B·
I have started seeing AI models less as tools and more as living systems that need structure to grow and persist. @0G_labs is quietly building the layer where AI models are not just deployed but continuously evolve, adapt, and retain memory onchain. This shifts ownership from code to intelligence itself.
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amira
amira@amira346757·
An emerging internet stack led by @0G_labs , @dgrid_ai , and PermawebDAO with @permacastapp is redefining the web into a scalable, collaborative, and permanent ecosystem where intelligent systems empower users and creators beyond centralized limits.
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