Arweave · 392

AI is taking the world by storm, what is missing from Crypto+AI?

Written by Ekko an, Ryan Yoon Compiled by: Chopper, Foresight News Original title: AI is taking the world by storm, why is Crypto + AI bleak? TL; DR In the context of booming artificial intelligence, we need to evaluate the blockchain industry from a demand-side perspective: what problems does it solve that existing systems can't, and what unique capabilities does it bring? Decentralized computing power and decentralized storage do have reasonable logic such as data sovereignty and cost advantage, but they have not yet developed absolutely convincing technical advantages, which is not enough for enterprises that are already deeply tied to traditional cloud service providers to bear the risk of switching. Model verification and privacy encryption technology cannot solve the company's current pressing business pain points, and the company will not actively implement it on a large scale; demand on this racetrack will probably lag behind the introduction of regulatory policies. The EU AI Act is a typical precedent: standards are introduced before market demand is followed up. Technology is not the bottleneck in the underlying infrastructure circuit for AI agents. Mainstream companies are focusing on internal process automation at this stage, while blockchain projects are developing the next stage of low-level facilities, and the maturity of market demand cannot keep up with the pace of technological development. AI smart payments are the only racetrack where blockchain and traditional financial platforms run on the same line. Neither side has properly solved the pain points of the industry, and it is currently the only segment with direct competition conditions. Overall, the blockchain+AI circuit's dilemma is not a logical contradiction between the two, but rather a serious mismatch between supply and demand. Each of the four major segments has a unique lack of demand. Only the AI smart payment circuit has the conditions to directly participate in the current market competition. AI has fully exploded, but the blockchain circuit has been far removed from the AI industry and ushered in an unprecedented boom in capital and infrastructure investment. The large-scale model ecosystem built by major tech giants has fully penetrated public life and industrial production. The crypto industry is also rapidly iterating, trying to find technical integration points with AI. Early exploration focused on supplementing and replicating traditional AI industry chain links: decentralized GPU computing power supply, data validation, and cryptographic model verification. Recently, the industry's focus has shifted to solving pain points that are difficult to overcome with centralized architectures, including autonomous on-chain interaction of AI agents and real-time automatic settlement between machines. The general use of “AI+ blockchain” to summarize the entire circuit will only mask the real differences in the segmented field. We need to conduct a rigorous demand-side analysis: What issues does each segmented track target? Can blockchain native solutions provide truly differentiated solutions? Decentralized computing power in four segments. Currently, the cloud market is highly dependent on a few leading technology companies to control computing power resources. High-performance GPUs are difficult and expensive to procure, and AI startup teams and research institutions that are unable to build large-scale infrastructure face extremely high entry barriers. Centralized platform resources will be skewed towards large customers, and the massive amount of idle GPU computing power in the market lacks neutral channels for allocation. Decentralized computing power solves the problems of resource concentration and inefficiency through two models. The sharing economy model aggregates idle graphics card resources from individuals and small data centers, builds a unified computing power network, circumvents the monopoly of tech giants, and creates a flexible supply system. The distributed computing power model allows users to rent computing power globally without relying on hardware from a single service provider, improving the utilization rate of idle hardware, and lowering the threshold for using high-performance computing power. Decentralized storage The existing data storage system is almost entirely dependent on centralized cloud service providers such as Google and Meta. After users upload data, actual data ownership is transferred to the platform, and AI training data has been monopolized by giants for a long time. At the same time, centralized architectures have operational risks: policy changes, service interruptions, and platform failures can all cause data to become inaccessible or even permanently lost. Decentralized storage addresses these structural problems in two ways. The sharing economy model, represented by Filecoin and Arweave, brings together the idle storage space of each participant into a network that can replace the existing centralized cloud. The permanent storage model backs up data multiple times in distributed nodes, is not affected by the operating status of a single server, and reduces dependency on a single platform. AI research and development in the on-chain data trading market requires massive training data, but the current data circulation market is highly closed, and Hugging Face and major cloud vendors have a monopoly on revenue and pricing power. Data creators earn very little, and the incentives for data contributions lack transparency. The on-chain trading market uses smart contracts to remove intermediaries and establish transparent trading rules. Under direct transaction models such as Ocean Protocol, data owners and artificial intelligence developers directly transact through smart contracts and are rewarded...

54d agoburnking

There is no room for the AI community to understand blockchain

Source: Tiger Research Authors: Ekko An, Ryan Yoon Compiled and edited by: bitPushNews The artificial intelligence industry continues to advance rapidly, and there is no sign of cooling down. However, in the field of “blockchain AI,” the situation is quite different. Why hasn't it garnered much attention? The core point is that in the AI boom, the blockchain industry needs to be examined from a demand-side perspective: what problems can't be solved by existing systems, and what unique capabilities does it bring? Decentralized computing and storage does have reasonable logic in terms of data sovereignty and cost competitiveness. The obstacle is that neither of these currently shows sufficient technical advantages to make customers already tied to existing cloud infrastructure willing to take the risk of migration. The issues addressed by model verification and privacy technology have not yet reached the level of urgency that makes companies willing to take initiatives. This type of demand is more likely to follow regulatory requirements rather than pre-empt regulation. The EU Artificial Intelligence Act is a typical model: standards first, then the market follows. In the Agent framework category, the bottleneck is not technology. Mainstream companies are still focusing on automating internal workflows, and blockchain projects are already building the infrastructure layer for the next phase. It takes time for demand to catch up with technology. Smart payments are the only field where blockchain is on the same line as traditional financial stations. Both have yet to resolve this issue, making it the only category where both face the same challenges at the same time. Overall, the reason why the blockchain AI industry is struggling is not because the combination of the two is unreasonable, but because there is a mismatch: each of the four categories faces different reasons why demand has yet to take shape, and among them, only smart payments currently have the conditions to compete on the same platform. 1. Blockchain projects forgotten by the AI boom The AI industry is experiencing unprecedented capital and infrastructure investment. The big language model ecosystem, led by large technology companies, has become a standard feature of everyday life and industrial operations. Amid this rapid expansion, the cryptocurrency industry is also rapidly evolving, seeking technical integration points with AI. Early efforts focused on complementing or replicating aspects of the traditional AI value chain: decentralized GPU provisioning, data ownership restoration, and cryptographic verification. Recently, the focus has turned to filling gaps that are difficult to solve in centralized architectures, including autonomous on-chain activities for AI agents and real-time machine-to-machine (M2M) settlement. Describing this field in broad terms as “AI plus blockchain” masks its complexity. We need a rigorous demand-side analysis: What issues does each segment address? Does the blockchain native solution provide a truly differentiated solution? 2. Functions in each category 2.1. Decentralized Computing Today's cloud computing market is structurally dependent on a few large tech companies that control computing resources. High-performance GPUs are difficult to obtain and expensive, creating a steep barrier to entry for AI startups and research teams that don't have access to large-scale infrastructure. Centralized systems focus resources on the biggest buyers, and there are no neutral channels in the market that can reallocate large amounts of idle GPU capacity. Decentralized computing addresses this centralization and inefficiency problem in two ways: the sharing economy model: the project aggregates idle GPU resources held by individuals and small data centers into a unified network, thereby creating a more flexible supply chain outside of established technology monopolies. Distributed computing model: Users can rent computing resources globally without relying on any single vendor's infrastructure, thereby improving hardware utilization and lowering the entry threshold for high-performance computing. 2.2. Decentralized storage The current data storage architecture relies almost entirely on centralized cloud infrastructure operated by companies such as Google and Meta. When users uploaded data to these platforms, ownership was actually transferred to the platforms, thereby solidifying their monopoly control over AI training data. Centralized infrastructure also introduces operational risks: policy changes, service interruptions, or platform failures may cut off data access or result in data loss. Decentralized storage solves these structural problems in two ways: the sharing economy model: using Filecoin and Arweave as an example, pooling participants' idle storage space into a network, which can replace existing centralized cloud services. Permanent storage model: Data is distributed and replicated across nodes to ensure data durability without being affected by any single server operation state...

57d agoWendy#AI #AI agent #AI topics #AI #blockchain

Arweave AO launches network availability pledge test plan to launch gateway data service incentive mechanism

According to official news, AO, a scalable blockchain network based on Arweave, announced the launch of the Network Availability Staking Alpha (NASA) test program. This is a key step in the AO ecosystem, which aims to improve the usability and reliability of decentralized data networks through a staking mechanism. The program is currently in alpha, and users can participate in network availability verification and earn rewards by providing data services to Arweave gateways and staking AO tokens. In the first pilot phase, AO introduced an availability staking mechanism, requiring node operators to stake 25 AOs to participate in the network and compete for speed and stability in response to user requests. The system will distribute rewards from a monthly reward pool of 1000 AOs based on the node's performance in the data service. The mechanism relies on the next-generation HyperBeam architecture to enable gateways and routing services to achieve a higher degree of verifiability and trustlessness, while significantly reducing operating costs. The project party said that NASA aims to establish a stronger decentralized economic model for the entire permanent network infrastructure, paving the way for future expansion into fields such as computational scheduling, data indexing, and network services. Although the current rewards are small and still in the testing phase, the program is seen as an important starting point for the AO-core economy and will gradually expand to more network infrastructure services over time.

128d ago

Arweave community member: A caching issue is causing AR to not show actual network blocks, and the team is solving it

Comparing news, Arweave community member @mil_itia said that Arweave (AR) has been generating blocks normally, and all transactions are processed normally. The issue is that Viewblock's browser uses local cache counts instead of actual network block heights, and the team is working to resolve this issue. Yesterday, according to arscan data, the Arweave (AR) network has not generated new blocks for more than 24 hours. The last recorded block, numbered 1,851,686, was generated at 11:18:15 Beijing time on February 6.

195d ago

Arweave (AR) network hasn't generated blocks for more than 24 hours

Comparatively, according to arscan data, the Arweave (AR) network has not generated new blocks for more than 24 hours. The last recorded block, numbered 1,851,686, was generated at 11:18:15 Beijing time on February 6.

196d ago

Data: The crypto sector mostly pulled back; only DePin, AI, and SocialFi sectors were relatively strong

Comparative news, according to SosoValue data, the crypto market sector mostly recovered. Only DePin, AI, and SocialFi sectors were relatively strong, rising 0.01%, 0.06%, and 2.14% in 24 hours, respectively. Within the DePin sector, Arweave (AR) rose 2.40%; within the AI sector, Virtuals Protocol (VIRTUAL) rose 1.33% and Worldcoin (WLD) rose 2.03%; In the SocialFi sector, Toncoin (TON) rose 2.80%. Furthermore, Bitcoin (BTC) fell 3.10%, once falling below $73,000, and is now back above $76,000; Ethereum (ETH) fell 3.72%, once hitting $2,100, and is now close to $2,300. In terms of other sectors, the Layer1 sector fell 2.12% in 24 hours. Among them, Solana (SOL) fell 5.00%, but Cosmos Hub (ATOM) rose 5.49%; the Meme sector fell 0.38%, and within the sector, Binance Life rose 13.58%; the PayFi sector fell 0.96%, but Trust Wallet (TWT) rose 4.20%; the Layer2 sector fell 1.56%, and Polygon ( POL) fell 3.74%; the CeFi sector fell 1.70%, OKB fell 2.11%; the DeFi sector fell 1.93%, and Morpho Token (MORPHO) bucked the trend and rose 5.01%. The crypto sector index, which reflects the sector's historical market, shows that SSIsocialFi, SSIDepin, and SSIai indices rose 2.56%, 0.68%, and 0.42%, respectively.

199d ago

Rodeo, a social NFT platform, announced its shutdown, becoming the second NFT platform to close in a week

Comparing news, the social NFT platform Rodeo announced that it will stop operating, making it the second NFT platform to announce its shutdown this week. Rodeo CEO and co-founder Kayvon Tehranian said that despite positive feedback from the core community, the platform failed to achieve the scale required for sustainability, making it impossible to continue operating. Launched on iOS in March 2025, Rodeo focuses on a social NFT collection experience, emphasizing that creators are rewarded for posting content rather than simply trading. The platform will maintain normal functionality from January 27 to February 10, then enter read-only mode, and completely shut down on March 10. The government will assist users to migrate assets and data to Arweave and provide contract asset migration guidelines. Additionally, Tehranian also announced that ownership of its NFT art platform Foundation will be transferred to Blackdove. At the market level, the NFT industry has continued to be sluggish since its 2022 high, and monthly Ethereum NFT transactions have dropped from nearly $5 billion in early 2022 to around $159 million in January 2026. Meanwhile, Nifty Gateway also updated its shutdown plan to extend the user asset migration period until April 23.

206d ago

Nifty Gateway promises to permanently host some of the NFT metadata, and the withdrawal period is extended until April 23

Comparing news, Gemini's NFT platform Nifty Gateway stated in a shutdown update that it will promise to permanently host some of the NFTs' metadata and media files. According to the platform, most NFTs will migrate to the decentralized storage network Arweave for long-term storage; however, a small number of NFTs minted in 2021 and earlier are permanently bound to Nifty's own servers, and the platform will continue to host them indefinitely. Meanwhile, Nifty Gateway extended the NFT withdrawal period to April 23 (90 days) and is developing batch withdrawal tools to make it easy for users to transfer multiple NFTs at once. (The Block)

206d ago

From “dead” explosion to asset “immortality”: How do crypto players set up on-chain wills?

Author: Maher, Foresight News Original title: Is it dead? The app is exploding, how can crypto players “death insure” their assets? At the beginning of 2026, an app called “Is It Dead?” spread like a virus on social media. This tool, developed by a team of three young post-95 people, went live at a cost of more than 1,000 yuan and a month, but in just a few days it topped the Apple App Store's top ranking of paid apps. The number of paid downloads skyrocketed 200 times, and the valuation soared to 10 million yuan. The core function of the app is simple but it hits the pain point: users need to manually sign in every day to confirm that they are “alive”. If they do not operate for two consecutive days, the system will automatically send an email notification to the pre-set emergency contacts. Developer Xiao Guo said in an interview that there were few users at the beginning of the launch, and until after the most recent update, traffic suddenly exploded, even triggering imitators and competition. Officials have announced that it will change its name to “Demumu” in order to go overseas and go global, but the popularity of this app goes far beyond the product itself; it reveals a hidden yet common anxiety in contemporary society — “dying alone.” Living alone has become a trend, and behind the explosion of “is it dead” in the field of encryption, it is an accelerated expansion of the global trend of living alone. According to 2026 data, the number of people living alone in China has exceeded 100 million, with young white-collar workers accounting for more than 40%. These people who live alone often choose or are forced to live alone due to high work pressure, urbanization, and social fragmentation, but they face the risk of unexpected accidents and unaware of them. Undeniably, it reflects social changes in the post-pandemic era. Around the world, living alone has become a mainstream trend. According to Euromonitor International data, households living alone will account for 30% of the global total by 2030, especially in Asian, European, and American metropolitan areas. The proportion of young people living alone will continue to rise due to economic independence and diversification of lifestyles. This is not only a life choice, but also a psychological burden: “dying alone” in Japan has become a social issue, and China is also frequently reporting similar news. The popularity of “die?” apps is a collective response to this hidden concern. This trend of living alone is particularly prominent in the cryptocurrency sector. The crypto industry is inherently endowed with distributed and decentralized genes, and most of the practitioners are younger generations. According to the 2025 Coinbase report, the average age of crypto users is between 25-35, and many are post-95 or post-00. They often work intensively remotely, such as traders, developers, or community managers, where 24/7 tracking, code debugging, and market analysis make the office concept redundant. According to ZipDo's 2025 statistics, 68% of workers in the crypto industry prefer remote work, and 52% of startups report that the remote model has increased productivity. According to LinkedIn's Crypto Work Culture report, 94% of crypto teams plan to keep remote work permanently, which is far higher than 22% in traditional industries. Although this lifestyle is flexible, it increases the risk of living alone: workers may be scattered all over the world, lack a fixed social circle, and the intensity of work increases health risks. Imagine a cryptocurrency trader living alone who has a sudden heart problem at home. His crypto assets worth hundreds of thousands or even millions are worth. What will happen? The explosion of the “Dead?” app has made many crypto investors begin to reflect on what to do if they encounter an accident. Crypto practitioners need to be fully prepared to face this reality on exchanges and on-chain wallets, and crypto practitioners need to be fully prepared for insurance on exchanges and on-chain wallets. First, establishing an “inheritance mechanism” is the key. Traditional bank accounts have a testamentary inheritance, but encrypted non-custodial wallets (such as MetaMask or Ledger) rely on private keys, and assets can be permanently lost once the holder dies. To this end, using a multi-signature wallet is basic protection: for example, Gnosis Safe requires multiple keys to jointly authorize the transfer of assets. You can designate a trusted family member or friend to hold a backup key and explain the process in your will. Second, the “Dead Mans Switch” (Dead Man Switch) mechanism was introduced, which is a smart contract automation tool. If the holder is inactive for a long period of time (such as no login or confirmation), the contract will automatically trigger an asset transfer. Many years ago, the Sarcophagus sarcophagus protocol was developed in response to this need. It is a decentralized “death switch” based on Base+ Arweave that can post files to any Ethereum address or public address at any time...

220d agoburnking#Is it dead #death insurance #wallets

Public Chain 2025: The hustle and bustle belongs to the casino, and the calm is left to the ecosystem

Author: BlockWeeks Blockchain Weekly In the cryptocurrency market, if you only look at the market cap (Market Cap), you'll see a digital utopia where everything is thriving and everything grows. Tens of billion dollar valuations, grand technical white papers, the aura of Turing Award winners... it all seemed like the dawn of the next generation of the internet. But if you switch to a pair of glasses — one that only looks at “real income on the chain (Fees)”, you'll see a very different, and even chilling, scene: in this so-called trillion-level market, the vast majority of “unicorns” are actually zombies that have long since stopped breathing. Recently, BlockWeeks analyzed DeFilLama's public chain “Fees” data in detail, and we discovered an unavoidable structural problem: the crypto chain has entered an era of “extreme concentration of profits and long-tail collective zombification.” The core data in this article all comes from DeFilLama's “Fees/Revenue by Chain” panel (fetched: December 16, 2025). “Fees” as defined by it refers to the total fees (top-line) paid by users on the chain. It is an approximate measure of the scale of on-chain economic activity, not protocol revenue (protocol revenue). The purpose of this article is to examine the on-chain value capture capabilities of each public chain using this open and unified standard. 1. The humiliation of $17: The collapse of a technological utopia According to our public data scraping DeFilLama, the most alarming figure is not from the million-dollar giant at the top of the list, but from $17 at the bottom. This is Algorand — the “blockchain impossible triangle solver”, a public chain founded by Turing Award winner Silvio Micali, with top technical endorsements. One day's network-wide protocol revenue. You read that right, it's not $170,000, it's $17. At the moment, Algorand's market capitalization is still at the level of 1 billion US dollars. In a “digital country” with a market capitalization of 1 billion US dollars, the daily direct tax revenue generated by the digital economy is not enough to buy four lattes at Starbucks. It shows that despite having the most advanced decentralized technology, once there is no real and continuous application demand, its ability to capture economic value will approach zero. This isn't just Algorand's embarrassment; it's the death knell for the entire “classical public chain” camp. Take a look at Cardano (ADA), a giant that is in the top ten by market capitalization and has millions of coin holding addresses. However, the data tells us that recently its average daily on-chain fee has only hovered around $6,000. This means that apart from asset transfers and network maintenance guarantees between coin holders, the chain lacks commercial activity that can generate significant fees — no large-scale loans, no high-frequency transactions, and no real, paid value exchange. These public chains are like luxury empty cities built at huge sums of money in the middle of the desert. The infrastructure is complete, the roads are wide, and the town hall (foundation) is well-funded, but there are no residents (active paying users) on the street. The way they maintain operations is often that the city hall continuously sells reserves (dumped tokens) to pay for operation and maintenance costs. II. Ugly victory: Who is really capturing value? Looking to the top of the list, a fact that makes “technological fundamentalists” even more uncomfortable comes to mind: the ones that make the most money are often not the most “elegant” or “decentralized” technology. Tron (wave field) tops the list, with an average daily processing fee of up to 1.24 million US dollars. In the eyes of many elitists, the wave field may be difficult to call “technology flow.” But the market voted for the ultimate answer: payment is just what you need. Tron carries the vast majority of the world's USDT on-chain transfer requirements. In an industry full of speculation and bubbles, things have gone wrong to become the only payment layer application to be mass adopted (Mass Adoption) — even though it is only a shadow banking channel for fiat money. Arguably, payment, the oldest and most basic internet requirement, is currently the only mass adoption (mass adoption) in the crypto world. Tron's success is a powerful mockery of all project parties that seek “perfect technology” while ignoring “real requirements.” It is followed by Solana, which has an average daily processing fee of nearly $600,000. Its logic of success is more straightforward: it is the most active on-chain casino in the world. Meme coins, high...

247d agoLuxurytracy#Public chain