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As we all know, the decentralization computing logic of @cysic_xyz hits the core pain points of existing cloud computing. Traditional cloud computing is monopolized by a few giants, where service interruptions can lead to a complete network paralysis, leaving users with no choice but to passively accept it.
🔍 The monopoly situation = a real dilemma
Amazon AWS, Google Cloud, and Microsoft Azure control over 70% of the global cloud computing market.
Single point of failure risks make the entire internet reliant on a few data centers.
Pricing power is completely opaque, and costs may surge at an
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Seeing the story of Josh Benaron really makes one rethink the value of data infrastructure.
He became obsessed with decentralization at the age of 18. While others were discussing blockchain finance, he saw the essence of data issues. It seems that @irys_xyz indeed has foresight.
🎯 From Problem to Solution
Traditional developers spend a lot of effort building application logic, only to have the overall effect compromised because the data is stored on fragmented infrastructure.
During his university years, Josh realized this pain point and specialized in the internal mechanisms of databases. H
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This collaboration between @irys_xyz and @Mira_Network is indeed worth a deep analysis. Both projects focus on the AI infrastructure track, one concentrating on data storage and the other on verifying trust.
🔍 The fundamental issue of AI credibility
AI hallucination is a feature. The model is essentially doing probability matching, looking for patterns that statistically resemble the correct answer, rather than seeking the truth itself.
Mira addresses this issue by using multi-model consensus verification. It transforms AI outputs into independently verifiable statements, which are distribute
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From data storage to AI inference, from GPU clusters to data centers, the world we live in is essentially a stack of cubic architecture.
But the problem is that we live in a world built of cubes, yet we do not own a single cube. It reminds me of that saying, "The farmer eats rice bran; the weaver has no clothes; the salt seller's wife drinks thin soup, and the one who weaves mats sleeps on the ground."
Netflix's 300 million subscribers watch content through AWS servers, but users simply say they are tenants. Steam's 130 million users' game library is essentially just access to
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In the storage sector, @irys_xyz can indeed be considered an alternative. It has taken a completely different route among a plethora of traditional storage solutions.
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🎯 Core Differences
Traditional storage solutions focus on the question of "how to store," while IRYS addresses the question of "how to use."
AWS S3, Google, and other traditional giants provide dumb storage. The data just goes in as data, and to process it, you still need to call other services. IRYS directly turns data into programmable assets, where smart contracts can directly read, modify, and execu
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Recently studying @SentientAGI's Open Deep Search, after all, it is an Open Source alternative to Perplexity and SearchGPT.
🎯 Performance Data
The ODS + DeepSeek-R1 combination achieved an accuracy rate of 75.3% in the FRAMES benchmark test, directly surpassing OpenAI GPT-4o Search Preview's 65.6%, leading by nearly 10 percentage points.
Achieved 88.3% in the SimpleQA test, almost catching up to the 90.0% of GPT-4o Search Preview.
The open source solution has surpassed its closed source competitors in complex reasoning search for the first time.
⚡️ Architectural Innovation
Traditional
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When AI starts planning trips, do we still need traditional travel guides?
I just tried @SentientAGI's GRID travel feature, to be honest, it's really something.
🎯 Personalization
It's not just a simple tourist spot recommendation, but a fully customized itinerary based on your preferences, budget, and time. Want to spend a seaside vacation in Sanya? Sentient directly provides a complete route for Yalong Bay + Wuzhizhou Island + First Market, even calculating the best visiting times.
Traditional strategies are monotonous, while sentient AI can understand whether you are traveling f
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If data is no longer statically stored, but rather smart assets that can autonomously execute, self-manage, and trade automatically. This is the Programmability data world that @irys_xyz is building.
Irys transforms data from a static storage entity into a dynamic execution unit. Each piece of data can carry its own logic and rules, enabling automatic execution of ownership verification, royalty distribution, access control, and more.
🔧 Core capability of Programmability data
Traditional blockchains either focus on execution or focus on storage.
Irys breaks the limitations through a dual ledg
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I just saw the collaboration between @irys_xyz and 375ai, which can be regarded as a perfect match between edge AI data and Programmability data chains. It effectively addresses the issues of data authenticity and value distribution.
🔍 Data Traceability
375ai collects real-time data through 40,000 AI sensor nodes, which requires a permanent and verifiable storage method. Traditional data storage often faces issues of data tampering and lack of transparency regarding the source.
The multi-ledger architecture of IRYS perfectly addresses this issue. Each piece of data on the chain comes with com
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After the tour at Fudan University, @SentientAGI is sharing again at Shenzhen University. It's interesting that Sentient chose universities as the starting point for promotion.
Universities are a hub for AI talent and innovative thinking, and they are also the group most open to embracing open concepts. By establishing developer communities through campus roadshows, a talent foundation is laid for subsequent ecological development.
⚡️Core Highlights
Sentient positions itself as an operating system for AI. The core is the GRID network: integrating over 40 AI agents and more than 50 data and
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China is indeed amazing!!! Speaking of which, projects that have previously toured in China seem to have a relatively good impression in the hearts of the people. Seeing Sandeep launch the @SentientAGI campus tour at Fudan University, I feel that the competition for Open Source AI has truly begun.
The co-founder of Polygon personally promotes Open Source AI, and this signal has become quite clear, marking the official start of "antitrust". We cannot allow giants like OpenAI and AWS to monopolize the entire AI infrastructure.
At the same time, Fudan University, as a top institution in China, ha
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From the initial data storage to the current Programmability data chain. The evolution path of @irys_xyz actually reflects the development logic of the entire infrastructure.
🎯 Value Redefined
Irys is not just a simple storage project; it transforms the data itself into executable assets. By directly embedding smart contracts into the data, each piece of data can carry its own access rules, pricing mechanisms, and execution logic.
This design addresses the issue in the traditional data economy where data creators are unable to directly benefit from the value of their data. When data can be au
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In the past few days, Kaito has updated the priority allocation indicators for Yaps & Kaito Eco, using historical highest rankings, the number of NFTs held, and the stake ranking of Kaito as reference dimensions. At least 30% of the allocation for projects on the Launchpad will be prioritized.
It seems that most of the subsequent projects will basically use this indicator for token allocation. In fact, Kaito's token distribution has always been a mystery; let me see what's going on! I have to say, I really struck gold in the recent projects I participated in on Launchpad!
@novastro_xyz
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The premise of cooperation is alignment. The collaboration between @irys_xyz and Allora can be considered a perfect match between data infrastructure and Decentralization AI networks. After all, the core pain points they address through their collaboration are data quality and credibility.
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🔍 The core value lies in data verification
As a Decentralization reasoning network, Allora requires a large amount of reliable data to train and optimize AI models. Traditional AI training often faces issues of opaque data sources and varying quality.
The programmable data chain pr
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I see that @irys_xyz's Sprites have expanded to Vietnam 🇻🇳! Irys's globalization process is advancing rapidly, and the recent trip to China was also very successful.
Global expansion actually reflects the true maturity of the Irys ecosystem. It's not just about geographical coverage, but more importantly, the dissemination of community culture.
Vietnam, as one of the most active markets in Southeast Asia, is a wise choice for Irys's new base. There is a strong developer community here and a high acceptance of decentralized technology.
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⚡️The meaning o
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I just saw someone miss the Cysic Testnet and Compute Cube sale, felt a pang of sadness for a second. But for the frens who participated, now is the time to reap the rewards of their expectations.
From the data, @cysic_xyz has been progressing steadily all the way:
Testnet Phase III officially ended on September 18.
Compute Cube NFT sales will be conducted in layers starting from August 26.
Total financing reached 18 million US dollars.
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The core value lies in the breakthrough of the ComputeFi model.
Traditional GPU mining can only perform simple hash calculations, but
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Just saw @SentientAGI announce @useTria as a proxy payment partner for GRID, this collaboration can be described as a strong alliance.
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First, let's talk about Tria. Their core driving force is the self-developed BestPath technology, which is based on an intent-driven market and can find the fastest and most economical cross-chain path for all mainstream virtual machines.
Traditional AI agents can only process data and information, but cannot directly execute payment operations. Tria can address the demand for AI agents to conduct seamless transactions in the real
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