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BlackRock and Deutsche Bank CEOs say the fiscal deficit is more urgent than the AI bubble

According to Bloomberg, financial executives have differing opinions on whether AI has become a bubble. Ken Griffin previously warned that AI investors are almost certainly in a bubble and should prepare for setbacks, stating that significant economic transformations are often accompanied by bubbles. Recently, the market has been concerned that the time it takes for the massive upfront capital expenditures in AI to translate into profits and productivity gains may be longer than expected. Deutsche Bank CEO Christian Sewing stated that there is no reason to worry about a sharp reversal in asset prices in the short term; individual companies may face setbacks, but he does not believe the market is in a bursting bubble.Sewing distinguished between a bubble and ongoing volatility, mentioning geopolitical tensions. He stated that if the regulatory framework is appropriate, the industrial application of AI will become a century opportunity for Germany. BlackRock CEO Larry Fink advocated for accelerating the construction of AI data centers, warning that delays could threaten economic growth and exacerbate inflation due to high computing costs. He previously mentioned that AI faces a supply shortage, with demand growth exceeding expectations, and stated that the faster more data centers are built and more computing power is available, the quicker costs can be reduced.Federated Hermes Chief Investment Officer for Global Equities Steve Chiavarone said that investors worried about an AI bubble may be correct in their judgment, but it is several years too early; infrastructure still has several years of growth potential, after which the risk of overbuilding will become more pressing. The market is still differentiating which companies can secure funding and at what interest rates, which is contrary to the bubble period.Compared to the AI bubble, both Fink and Sewing view the fiscal deficit as a more pressing concern, especially as the AI industry competes with the government for investment funds. The U.S. fiscal deficit is nearing $2 trillion, and U.S. Treasury yields have risen to decades-high levels.Fink stated that the current level of capital competition is the highest he has seen in his career. Regarding the rising risk of French government bonds, Sewing said it cannot yet be called a debt crisis, but it serves as a warning for public finances, emphasizing the importance of budget discipline.

NeoSoul and Alibaba Cloud have launched a strategic partnership to provide AI reasoning and computing support for NeoTrade

Singapore, October 13, 2026, the BSC ecosystem AI Agent project NeoSoul today announced a strategic cooperation with Alibaba Cloud. NeoSoul has integrated Alibaba Cloud's AI model services into its Agentic Trading product NeoTrade, providing support for model inference and computation for autonomous trading agents; as the product develops and usage scales grow, both parties plan to further explore cloud-based AI technology collaboration.After users set trading rules in NeoTrade, the AI Agent will continuously track market changes, assess trading opportunities, and execute strategies within the authorized scope. The model inference and computation services provided by Alibaba Cloud will support the Agent in repeatedly updating judgments in response to market changes, providing computational resources for autonomous trading applications.Kaelan, co-founder of NeoSoul, stated that AI Agents are evolving from answering questions to continuous decision-making and autonomous execution, rapidly increasing the demands on underlying AI infrastructure; Alibaba Cloud's modeling and computing capabilities will support NeoTrade in handling larger-scale and more complex autonomous trading tasks, and explore the application boundaries of AI Agents in real financial scenarios. An Alibaba Cloud spokesperson stated that they will support the development of NeoTrade through model services and computing capabilities, and continue to explore technological collaboration aimed at next-generation AI Agent applications with NeoSoul.

first_img DogeOS launched a public testnet, introducing EVM smart contracts for Dogecoin

DogeOS, the application layer of Dogecoin, launched its public testnet on Wednesday, introducing EVM-compatible smart contracts to the Dogecoin network as a zero-knowledge rollup, with DOGE as the native token for transaction fees. The project aims to support applications such as trading, lending, stablecoins, prediction markets, and gaming, while settling state back to the Dogecoin network.DogeOS currently uses a trusted execution environment, validators, and a permissioned sequencer to ensure network security. Future proposed upgrades to Dogecoin Core will allow Dogecoin miners to directly verify their execution proofs. DogeOS CEO Jordan Jefferson stated that Dogecoin does not currently verify ZK proofs on its own, and bridging state transitions requires valid proofs as well as signatures from a majority of validators and TEE signers. He mentioned that the team is currently focused on the public testnet, allowing developers time to build and test applications, with the mainnet timeline to be announced upon reaching the next development milestone.DogeOS comes from the MyDoge wallet team, which announced a $6.9 million funding round led by Polychain Capital in May 2025. Two months later, the DogeOS team submitted a proposal for a Dogecoin Core upgrade to add native ZK proof verification for Dogecoin, but this upgrade has not yet been implemented. Timothy Stebbing, a director of the Dogecoin Foundation, expressed hope that DogeOS will serve as a springboard for a new wave of practical engineering.

NeoSoul launches the native Skill Builder for the Agent trading platform, allowing you to create trading strategies in one sentence

BSC and 0G ecosystem AI economic infrastructure project NeoSoul announced that its general intelligent trading workstation NeoTrade has launched the trading Skill Builder. Users only need to describe their trading ideas or trading styles in a conversation, and the system can generate the corresponding trading Skill, automatically completing the configuration and verification of strategy parameters such as time period, market focus, position, and order method.In the past, traders needed to turn their trading ideas into strategies that Agents could execute sustainably, which often required writing trading logic and setting parameters item by item. The Skill Builder centralizes the process into a conversation window, allowing users to describe their core trading ideas in natural language, and then gradually refine the strategy through continuous dialogue. During the conversation, NeoTrade will configure specific conditions based on user requirements and write each modification in real-time into the Skill. Once the strategy is complete, the system will automatically perform parameter verification, and the generated Skill can be saved and reused.Kaelan, co-founder of NeoSoul, stated that turning trading judgments into rules that Agents can execute has always been one of the most time-consuming steps in creating trading Agents. The Skill Builder incorporates this step into a single conversation, where users first clarify how they want to trade, and the system is responsible for completing the structuring, parameter configuration, and verification.

NeoSoul officially launches NeoTrade, introducing a universal intelligent trading workstation

BSC and 0G ecosystem's largest AI economic infrastructure project NeoSoul today announced the official launch of NeoTrade. NeoTrade is a universal intelligent trading workstation for traders, allowing users to directly define how the AI trading Agent operates and put it into action.Most existing automated trading products offer preset strategies. Traders seeking greater freedom typically need to develop and configure trading Agents themselves. NeoTrade brings this capability into a product interface designed for traders.Once the Agent is activated, it can process market information and execute trades 24/7. Fund usage follows rules pre-set by the user, and operations requiring approval will wait for user confirmation; users can also stop the Agent at any time.NeoTrade continuously displays the Agent's operational status and actual performance. Traders can adjust configurations based on market results, making each outcome the basis for the next adjustment.Kaelan, co-founder of NeoSoul, stated that the next step in Agentic Trading is to transform tasks that previously required engineering capabilities into products that traders can use directly. NeoTrade aims to lower this barrier, enabling more users with trading judgment to utilize trading Agents.As AI Agents move from assisting analysis to continuous execution, trading products are also transitioning from preset strategy tools to configurable intelligent systems. Those who can simultaneously solve for autonomous operation and fund control are becoming key competitors in the Agentic Trading product space.
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