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Alibaba QoderWake 1.0: Nearly 100,000 digital employees start working in teams

1 hours ago

Beating AI Express: Alibaba launches QoderWake 1.0, a tool that configures AI agents as "digital employees" and integrates them into real enterprise workflows. Users can generate role drafts by describing a job in one sentence. The platform currently includes 10 built-in roles such as frontend, backend, product manager, data analyst, and content operator, with support for custom roles. The key update in version 1.0 is enabling multiple digital employees to work in teams: different "Wakers" can join the same group, with tasks split by responsibilities. The system uses collaborative SOPs to define task sequences, execution assignments, approval steps, and required confirmation timelines. For instance, a product manager Waker writes requirements, a developer Waker drafts specs, handles development and unit testing, then a tester Waker runs test cases; failed tests are sent back to the developer for revisions. QoderWake also integrates with DingTalk, Lark, and WeChat Work, allowing group chat discussions and confirmed standards to be reused for subsequent tasks. Tasks can be triggered not only by manual @ mentions, but also automatically via schedules, business events, or APIs. High-risk operations are intercepted first and require human authorization. Over the past three months, the company stated nearly 100,000 Wakers have been created, completing around 20 million valid tasks, with roughly half triggered automatically by schedules or events.

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Trader "Maji" is set to cut losses and liquidate his Bitcoin (BTC) long positions, with the position expected to incur a loss of $1.3 million.

According to Tradingbeats data, crypto figure "Big Brother Ma Ji" (Huang Licheng) is set to liquidate his 40x leveraged long Bitcoin (BTC) position, which now holds only 23 BTC. Notably, the unrealized floating profit from Ma Ji’s BTC long once reached as high as $1.6985 million on September 4, when he held around 553 BTC with an average entry price of roughly $79,196.5, while BTC’s hourly peak hit approximately $82,268. His current BTC long position has incurred a total loss of ~$1.0371 million, including cumulative trading fees of ~$167,800 and funding fees of ~$79,900. If he liquidates the entire position now, the total loss for this round is projected to be around $1.308 million. Notably, while cutting losses on his BTC long position, Ma Ji has been steadily adding to his HYPE long position. His HYPE long position has risen to 212,000 tokens, with a net addition of ~96,500 tokens in the past 24 hours, equivalent to a new nominal value of ~$8.1 million at current prices. The address currently holds a HYPE long position worth ~$17.77 million, using 10x leverage, with an average entry price of ~$87.37 and an unrealized floating loss of ~$749,800. His recent HYPE additions were mainly concentrated in the price ranges of $86.5 and $83.4 to $83.9.

6 minutes ago

A crypto whale spent $194,000 buying 4,013,000 units of 4Stock in the past hour, becoming the fourth-largest on-chain holder of the token.

According to monitoring by ai_9684xtpa, a whale heavily invested in Robinhood-themed meme coins and DeFi blue-chips with a portfolio size of roughly $4.5 million spent $194,000 to purchase 4.013 million 4Stock tokens over the past hour at an average cost of approximately $0.04833, making it the fourth-largest asset held on that wallet address’s chain. The whale had previously allocated to PONS, CASHCAT, UNI, AAVE, and FORM, marking this as its sixth investment pick. Notably, the address just opened a new position in FORM yesterday, and FORM saw a 22% surge at one point today.

6 minutes ago

China's AI computing power landscape redrawn: Over half of new data center projects flock to northern and northwestern regions

Beating AI News Brief: China’s new AI computing power is clearly concentrating in northern and northwestern regions. BloombergNEF’s latest statistics show that over half of China’s under-construction and planned data center projects are located in northern and northwestern areas, including Inner Mongolia. According to its forecasts, by 2028, these regions will surpass traditional data center hubs like Beijing and Shanghai to become the country’s largest computing power supply zone. By 2030, northern and northwestern regions are projected to account for roughly one-third of China’s operational data centers’ IT capacity. These areas attract data centers mainly due to cheaper land and electricity costs, plus favorable climates for heat dissipation. AI firms including DeepSeek and Zhipu are also building large-scale data centers here. However, not all computing power will move westward. Latency-insensitive tasks such as model training and cloud storage are better suited for the west, while latency-sensitive use cases like autonomous driving still need to be close to eastern users.

6 minutes ago

China plans to quadruple its AI computing power by 2030.

Beating AI Insight News Brief: China’s Ministry of Industry and Information Technology (MIIT) has released the "15th Five-Year Plan for the Development of the Information and Communication Industry," setting a national intelligent computing power target of 9,800 EFLOPS by 2030. Latest data from the National Data Administration shows that as of the end of July, China’s total intelligent computing scale reached approximately 2,450 EFLOPS (FP16). Calculated on this basis, the scale needs to expand roughly fourfold over the next four years. The plan also proposes the orderly deployment of 10,000-card, 100,000-card and larger intelligent computing clusters, construction of inference computing power for different scenarios, and increased adaptation of domestic computing chips. To date, China has built 52 intelligent computing facilities with over 10,000 cards. The MIIT disclosed that as of the end of June, the intelligent computing power scale stood at 2,185 EFLOPS, a year-on-year rise of 177%. The plan’s table uses 1,590 EFLOPS in 2025 as the baseline, targeting 9,800 EFLOPS by 2030, equivalent to an approximately 6.2-fold expansion. Meanwhile, the cumulative investment target for information infrastructure across the entire information and communication industry is 3.8 trillion yuan, which covers communication networks and other infrastructure—not all of it is allocated to AI computing power.

6 minutes ago

Is 4Stock a copycat project? STRATTON on Robinhood Chain surges over 100% in the past two hours.

According to GMGN data, the token of the Stratton Market project, STRATTON, has surged over 100% in the past two hours, with its current market cap standing at $6.81 million. Notably, STRATTON was launched on September 3, and its narrative is exactly the same as that of today’s trending 4Stock. It is reported that Stratton Market (STRATTON) is a narrative-driven project deployed on Robinhood Chain, combining "US penny stocks" and "meme launches" into a single gameplay. Its core concept involves converting micro-cap stocks listed on the New York Stock Exchange and Nasdaq into on-chain tokens (called TICKERx in the project, such as TOONx, DSSx, AIXIx) at a rate of one token per share, then using these stock tokens as quote assets to build launchpads for new meme tokens.

6 minutes ago

UBS has launched a test of the Swiss franc stablecoin in collaboration with multiple Swiss institutions, with the CHFD stablecoin now live for trial operation.

Swiss bank UBS announced that together with eight other institutions—PostFinance, Sygnum, Raiffeisen, Zurich Cantonal Bank, BCV, SIX, TWINT, and Swiss Stablecoin AG—a total of nine entities have launched the Sandbox testing phase for the Swiss franc stablecoin, exploring the integration of blockchain applications with such stablecoins. The test is based on the CHFD Swiss franc stablecoin, which has been technically deployed in the Sandbox environment since the end of June and is pegged 1:1 to the Swiss franc. It will focus on use cases including automated inter-institutional financial transactions, digital asset tokenization settlement, and programmable payments, covering applications such as reducing online marketplace fraud risks, improving fair access to event tickets, and enhancing the efficiency of public fund disbursement. The test is expected to run through the end of 2026. UBS stated that the Sandbox aims to accumulate technical, operational, and regulatory experience, and does not represent a decision to officially launch the Swiss franc stablecoin.

6 minutes ago

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