Owei_25.somi

10K posts

Owei_25.somi banner
Owei_25.somi

Owei_25.somi

@HeisOwei25

Day Trader & Crypto Enthusiast | Web3 Explorer | NFT Collector | Solana Somnia Sui Maxi | The goal is to win with the team.

Metaverse शामिल हुए Şubat 2024
1.2K फ़ॉलोइंग1.2K फ़ॉलोवर्स
पिन किया गया ट्वीट
Owei_25.somi
Owei_25.somi@HeisOwei25·
With Zero Gravity (0G)'s Decentralized Storage and Data Availability (DA), massive IoT data stays verifiable yet private. Decentralized AI Operating System (DeAIOS) supports secure stadium networks at concerts. @0G_labs
English
12
23
37
105
Gevi
Gevi@Gheefted_01·
SCAMMED: A Nigerian Crypto Jobber Got Ripped of 5 Sols by a Pakistan Recruiter. Full details below:
Gevi tweet mediaGevi tweet media
English
49
12
114
4.3K
Ahmed XM
Ahmed XM@ahmedxm01·
Last 2 months it was at $400k+ Now $700+ $1M soon 💪
Ahmed XM tweet media
English
269
96
2.3K
48.4K
POOJA!!!
POOJA!!!@PoojaMedia·
This is serious from a winger.
POOJA!!! tweet media
English
343
319
5.6K
136.5K
Owei_25.somi
Owei_25.somi@HeisOwei25·
Who be Diddy babe??
English
0
0
0
2
Owei_25.somi रीट्वीट किया
Marveltech
Marveltech@Marveltech13835·
The transition from isolated tools to integrated systems represents a fundamental shift in how infrastructure is designed. Traditional approaches focus on building standalone applications that operate independently, but this limits scalability and interoperability. Modern systems must be designed as interconnected layers that share data, context, and execution capabilities. PermawebDAO provides the foundational layer for shared data and context, enabling multiple applications to access and build upon a common knowledge base. This eliminates duplication and ensures consistency across systems. DGrid provides the execution layer that allows these applications to operate intelligently, enabling inference to be distributed and optimized across a network of providers. Together, they enable the creation of integrated systems where components are not isolated but part of a cohesive and interoperable ecosystem.
Marveltech@Marveltech13835

Sustainability in decentralized systems is fundamentally an economic problem. Infrastructure must be maintained, resources must be allocated, and participants must be incentivized to contribute consistently over time. Systems that rely on voluntary participation or short-term incentives often struggle to maintain stability. DGrid addresses this by aligning incentives at the execution layer, where participants are rewarded for providing compute resources and maintaining performance standards. This creates a competitive environment where quality and efficiency are continuously optimized. PermawebDAO approaches sustainability differently by embedding permanence into its architecture, reducing the need for ongoing incentives to maintain stored data. Once data is stored, it remains available without requiring continuous intervention. Together, these approaches create a balanced system where both memory and execution are sustained through a combination of economic incentives and architectural design.

English
1
27
28
218
Owei_25.somi रीट्वीट किया
Mr_Josephhh 🤖ボッ
Mr_Josephhh 🤖ボッ@Josephoffiong4k·
0GLabs, DGrid, and Permacast suggest that the future of decentralized systems will be defined by how much complexity they remove rather than how much functionality they add. @0G_labs By simplifying data availability, 0GLabs reduces the need for complex infrastructure solutions. Developers no longer need to implement multiple layers of redundancy or fallback mechanisms. This reduction in complexity makes systems easier to build, maintain, and scale. Over time, this will lead to a new generation of decentralized applications that are both powerful and efficient. @dgrid_ai DGrid reduces complexity in AI workflows by embedding quality assurance into the network. Developers do not need to build additional systems to validate outputs or monitor performance. This simplifies integration and makes decentralized AI more accessible. As a result, more developers can incorporate AI into their applications without needing specialized expertise in model validation. @permacastapp Permacast simplifies storage by removing the need for ongoing management. Developers do not need to worry about backups, migrations, or data retention policies. This allows them to focus on building features rather than maintaining infrastructure. Over time, this simplification will make decentralized applications more accessible and easier to develop, accelerating adoption across the ecosystem.
Mr_Josephhh 🤖ボッ tweet media
Mr_Josephhh 🤖ボッ@Josephoffiong4k

0GLabs, DGrid, and Permacast reveal that the real evolution in Web3 is not about adding more layers, it is about making each layer strong enough that applications no longer need to compensate for it. @0G_labs For years, developers have been forced to architect around weak data layers. Systems were built with retries, redundancy, caching layers, and fallback mechanisms, not because developers wanted complexity, but because infrastructure demanded it. 0GLabs flips this entirely by making data availability a high-performance, protocol-level guarantee rather than an operational gamble. This becomes especially critical in AI-driven environments where datasets are not static but constantly accessed, processed, and updated. By enabling high-throughput, modular data availability, 0GLabs allows developers to stop engineering around failure and start engineering around capability. Over time, this reduces technical debt across entire systems because the foundational assumption shifts from “data might fail” to “data will be there when needed.” That single shift unlocks cleaner architectures, faster execution cycles, and more ambitious applications. @dgrid_ai DGrid addresses a different kind of weakness, not in data, but in computation trust. AI today is widely adopted, yet poorly understood at the infrastructure level. Developers consume outputs without fully understanding their reliability, often compensating with additional validation layers or human oversight. DGrid removes this burden by embedding Proof of Quality directly into inference execution. This means outputs are continuously evaluated, scored, and aligned with incentives. Instead of building external systems to validate AI, developers rely on a network that self-regulates performance. The implication is significant. AI becomes less of a probabilistic tool and more of a dependable system component. As applications scale and AI decisions carry more weight, this shift from assumed correctness to enforced correctness becomes essential. @permacastapp Permacast eliminates one of the most overlooked inefficiencies in system design, the ongoing management of storage. In traditional architectures, storage is never truly finished. Data must be backed up, migrated, renewed, and protected from deletion or corruption. @Permaweb_DAO removes this lifecycle entirely by anchoring content to permanent decentralized storage. Once written, data no longer requires maintenance. This changes how developers think about storage. Instead of allocating resources to preserve data, they can allocate resources to use data. Over time, this leads to systems that are not only simpler but also more resilient because they are not dependent on continuous operational intervention to keep data alive.

English
2
43
45
342
Owei_25.somi रीट्वीट किया
OG Locs
OG Locs@MAJORONYEMA·
OG_Labs × Dgrid_ai × PermacastApp Dgrid_ai is not just another AI project, it is an architectural rethink of how intelligence should be distributed, governed, and scaled in a trust-minimized environment. PermacastApp transforms the way information persists, enabling a future where every piece of content contributes to an ever-growing, searchable, and meaningful archive. OG_Labs web3 continues to bridge the gap between early experimentation and real-world impact, empowering builders to move beyond theory into tangible ecosystems. When viewed collectively, these efforts reflect a broader narrative where decentralization is no longer optional, but inevitable.
OG Locs tweet media
English
20
55
66
367
Owei_25.somi रीट्वीट किया
m33 🀄️
m33 🀄️@masterford33·
DNG in Simple Terms. Every time someone trades on dango, fees get paid in USDC. Those USDC fees buy $DNG tokens and burn them forever. Supply shrinks. Value compounds. No staking. No lockups. No inflation. Just real activity driving real scarcity. Perps are live now. More volume means more burns. More burns mean less supply. Less supply with steady demand does one thing over time. You can figure out the rest.
m33 🀄️ tweet media
m33 🀄️@masterford33

What Comes After Perps Are Live. Perpetual futures on mainnet are not the destination. They are the bridge. Dango now has spot and perps trading live on BTC, ETH, and SOL. One unified account. Half second finality. Zero MEV extraction. The infrastructure proved itself through months of Mainnet Alpha. Now the real build accelerates. What to Expect Next Options and lending arrive before the end of the year. Same cross collateralized pool. Same unified account. Your Bitcoin deposit will simultaneously back spot positions, perpetuals, options strategies, and lending yields. One deposit. Four markets. No fragmentation. The points program expands beyond trading. Provide liquidity. Refer active users. Explore new features. Show up consistently. The system rewards real participation rather than mindless farming. The Pre Mainnet Window If you held testnet Galxe OATs, your multipliers are locked in. Early contribution compounds. The window for pre mainnet positioning is closing. The Long View Dango is not building a product. It is building a complete DeFi trading layer where every financial interaction draws from one pool, one account, one interface. Perps are live. Options and lending are next. The unification layer is coming online piece by piece.

English
2
53
61
307
Owei_25.somi रीट्वीट किया
Deborah
Deborah@Deborah74246483·
OG Labs is creating opportunities for collaboration across the ecosystem, enabling different projects to work together. This collaborative approach enhances innovation. It creates a more dynamic and interconnected environment.
Deborah tweet media
English
0
54
53
150
Owei_25.somi रीट्वीट किया
Techie Gee📊🙌
Techie Gee📊🙌@Techie_Gee·
Improvement is not what happens once it is what continues without interruption @dgrid_ai is built on the idea that intelligence should move forward consistently not occasionally Many systems experience moments of progress But those moments often reset instead of building on each other True advancement requires continuity Reasoning keeps direction stable Evaluation keeps standards intact Feedback ensures each step strengthens the next This creates progress that does not break between cycles DGrid focuses on momentum not moments It ensures every improvement carries forward Over time progress stops being visible spikes It becomes a steady upward path In a space where most systems restart after each success continuity becomes the real advantage Strong systems are not defined by how fast they improve They are defined by how well they keep improving. @dgrid_ai
Techie Gee📊🙌 tweet media
Techie Gee📊🙌@Techie_Gee

Most systems struggle not with performance but with maintaining it over time DGrid AI is designed to preserve performance as a continuous state Short term accuracy is easy to achieve Long term consistency is difficult to sustain Without structure performance decays Reasoning keeps decisions aligned across cycles Evaluation ensures standards do not drift Feedback reinforces improvement continuously This turns performance into something that persists DGrid does not focus on isolated success It builds systems that remain effective over time As systems run longer variability reduces And outcomes become more stable In environments where performance usually fades persistence becomes the real advantage Strong systems are not those that perform once They are the ones that keep performing. @dgrid_ai

English
0
23
22
75
Owei_25.somi रीट्वीट किया
Oyekalu Habeebllahi oyedele 🍤
What builds over time isn’t just effort, it’s how well things remain connected and usable. OG Labs keeps interactions linked and dependable, so activity doesn’t drift into confusion as it grows. Permacast keeps what is shared easy to retrieve, so it doesn’t get buried when attention shifts. When actions stay connected and information stays within reach, what you’re doing now can still make sense and be used later.
Oyekalu Habeebllahi oyedele 🍤 tweet media
Oyekalu Habeebllahi oyedele 🍤@OyekaluOyedele

There’s a point where activity alone stops being enough. Things start to depend on whether actions can be followed and whether what exists can still be reached. OG Labs keeps interactions trackable and dependable, so increasing participation doesn’t turn into confusion or overlap. Permacast ensures what is shared doesn’t fade, but remains within reach whenever it’s needed again. When actions stay clear and information doesn’t slip away, progress becomes something you can rely on, not just observe.

English
0
24
25
183
Owei_25.somi रीट्वीट किया
Lucky Winner
Lucky Winner@LuckyWi29990331·
The next shift in AI x Web3 isn’t about intelligence alone. It’s about how intelligence is organized. Unstructured intelligence creates noise. Structured intelligence creates leverage. Permacast by PermawebDAO, OG Labs, DGrid AI, and Galxe are building that structure.
Lucky Winner tweet media
Lucky Winner@LuckyWi29990331

The next frontier in AI x Web3 is system coherence. A powerful components where systems where execution, trust,memory and participation fit together. Coherence is what turns capability into dominance. Permacast by PermawebDAO, OG Labs, DGrid AI and Galxe are aligning toward that.

English
2
25
25
111
Owei_25.somi रीट्वीट किया
Umar Muhammad Sani
Umar Muhammad Sani@umar_msani·
Permacast ensures ideas don’t lose their origin or meaning. Dango turns coordination into a clear, step-by-step system. 0G Labs builds a data layer you can trust at scale. Together, they make complexity understandable,and systems worth relying on.
Umar Muhammad Sani@umar_msani

Permacast makes discourse durable. Dango makes coordination deterministic. 0G Labs makes data universally accessible. Together, they’re not just scaling systems,they’re preserving truth, structure, and clarity at every layer.

English
0
21
22
131
Owei_25.somi रीट्वीट किया
K • FRANC7S
K • FRANC7S@kele_ch7·
Native AI-Data Interoperability Layer: DeAI projects waste cycles building custom adapters and ETL pipelines just to let models talk to on-chain data or vice versa, yet those bridges rot with every protocol upgrade. @permacastapp creates a native interoperability layer by encoding datasets, model interfaces, and state schemas as standardized, permanent bundles on Arweave—complete with self-describing manifests that any agent or contract can parse and compose against directly from the weave. No more fragile oracles or version-specific wrappers. Downstream apps inherit clean, verifiable access to historical intelligence artifacts without custom integration debt. This collapses the artificial wall between decentralized data and intelligence, letting them evolve as one unified stack.
K • FRANC7S tweet media
English
0
24
26
87
Owei_25.somi रीट्वीट किया
Richard⚓️
Richard⚓️@Richard12413054·
The next wave of AI won’t be tools. It will be agents. And agents don’t work on blind trust. They need: verifiable outputs predictable costs reliable execution Without that, they fail silently. DGrid is building for that future.
Richard⚓️ tweet media
English
0
36
36
93
Owei_25.somi रीट्वीट किया
parmit⚫
parmit⚫@Parmit09·
Most creators treat hosting as infrastructure. It is actually a lease agreement with terms they never negotiated. Every platform migration, every sunset notice, every vanishing RSS feed is the landlord collecting rent in a currency called dependency. Permacastapp does not compete on storage features. It changes the ownership structure entirely. You pay once to Arweave and the leverage disappears, which means the relationship between a creator and their audience stops being conditional on someone else's business decisions. The assumption baked into most AI inference networks is that compute is the scarce resource worth organizing around. Dgrid starts from a different premise: trust is. Running a model is operationally solved. Knowing whether the output reflects honest inference or a quietly manipulated result is the problem nobody has priced correctly. Dgrid builds the incentive layer that makes honesty structurally cheaper than deception, and that is not a product feature. That is a different theory of what a compute network is supposed to guarantee in the first place.
parmit⚫@Parmit09

Most coordination tools assume you can centralize timing. Permacastapp accepts that participants move at different speeds, so it anchors on storage instead of sync. A podcast isn't a conversation it's a message that waits. That shift turns passive listeners into asynchronous validators. Dgrid inverts the usual scaling logic. Instead of pushing computation to a dense core, it pushes discovery to the perimeter. Each node builds its own local model of the network, then acts on what it sees. No global scheduler, no single point of failure just a grid that reorganizes itself through repeated, cheap bets.

English
0
22
22
163
Owei_25.somi रीट्वीट किया
Abdulsamadibb
Abdulsamadibb@AbdulsamadIbb·
.....@dgrid_ai is turning intelligence into a network effect, not a corporate moat. Every contribution strengthens the system. Every output is provable. Every participant shares the upside. This isn’t just decentralized AI it’s collective intelligence with economic alignment.
Abdulsamadibb tweet media
Abdulsamadibb@AbdulsamadIbb

...@dgrid_ai is turning intelligence into economic gravity. Value no longer sits at the top it pulls toward those who contribute Verifiable outputs Permissionless compute. Aligned incentives. This isn’t just AI infrastructure it’s a system where intelligence pays its Creator.

English
0
28
29
143
Owei_25.somi रीट्वीट किया
Alan
Alan@mufc_s00·
This is not about infrastructure becoming stronger. It is about it becoming less negotiable. 0G Labs, DGrid, and Permacast don’t just improve systems. They remove the parts that could be influenced. 0G Labs removes negotiation at the base. Imagine building an AI-powered on-chain insurance model that recalculates risk in real time. Normally, infrastructure dictates what’s possible, slow data, expensive compute, rigid throughput. With 0G, data availability and compute are modular, so the system isn’t shaped by those limits. It defines its own capacity. DGrid removes negotiation during execution. That model depends on continuous AI inference. Centralized providers introduce subtle control, rate limits, outages, degraded outputs. With DGrid, inference is distributed and verified, so decisions are formed without a single point influencing them. It doesn’t adjust to pressure. It remains consistent. Permacast removes negotiation after creation. Now the model publishes insights, updates, or audio briefings. On Web2 platforms, that content is conditional, it can be removed or suppressed. With Permacast, once it’s published, it persists. The output becomes fixed, not subject to revision. Three layers. One certainty. No limits shaping the base. No influence shaping execution. No authority shaping the outcome. Subtle, but this is how Web3 moves from systems that operate within rules to systems that define their own.
Alan tweet media
Alan@mufc_s00

This is not a stack being built. It is a system learning how to exist without fallback. 0G Labs, DGrid, and Permacast don’t just add capability. They remove the need for recovery. At the beginning, systems used to plan for limits. 0G Labs removes that mindset. Imagine a builder creating an AI-native credit scoring protocol that constantly evaluates on-chain behavior. Normally, they design around constraints, expensive compute, slow data access. With 0G, data availability and compute are modular, so the system is designed without anticipating restriction. It starts from abundance. In the middle, systems used to plan for failure. DGrid removes that assumption. That protocol depends on continuous AI inference. A centralized provider introduces weak points, outages, throttling, degraded responses. With DGrid, inference is distributed and verified, so decisions continue forming even when parts fail. It doesn’t recover. It continues. At the end, systems used to plan for loss. Permacast removes that risk. Now the protocol publishes its scoring logic, insights, or audio explanations. On Web2 platforms, that content is temporary, it can be removed or buried. With Permacast, once it’s published, it persists. The output becomes part of an irreversible record. Three stages. No fallback. No limits to design around. No failure to recover from. No loss to compensate for. Subtle, but this is how Web3 moves from systems that handle disruption to systems that outgrow it.

English
0
52
51
283
Owei_25.somi रीट्वीट किया
Raji Gbolahan 🔥
Raji Gbolahan 🔥@Rajigbolahan6·
A shift is happening that most people are still underestimating in Web3 AI. It is not about building better systems. It is about who defines the rules those systems operate on. Control the outcomes. OG Labs x DGrid AI x Permacast by PermawebDAO x Galxe are shaping those rules.
Raji Gbolahan 🔥 tweet media
Raji Gbolahan 🔥@Rajigbolahan6

Here is something most people are not paying attention to in Web3 AI. It is not just about building systems. It is about how systems capture value. Creating intelligence and capturing the value it generates. OG Labs x DGrid AI x Permacast by PermawebDAO x Galxe are solving that.

English
2
27
27
134