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NeoSoul plans to launch the world's first highly customized Agentic Trading framework to accelerate the construction of the AI economy

BSC and 0G ecosystem's largest AI economic infrastructure company NeoSoul announced plans to launch the world's first highly customizable Agentic Trading framework, helping users build AI Agents that can make autonomous decisions and trade independently.As AI capabilities rapidly improve, more and more traders are beginning to use Agents to assist in trading. However, currently, building a trading Agent that can operate stably over the long term still presents a high barrier to entry. NeoSoul hopes to lower the threshold for users to utilize autonomous trading Agents through its innovative Agent trading framework.NeoSoul chooses to focus on Trading because the financial market is the most direct scenario to test the capabilities of AI Agents. Compared to traditional AI applications that mainly provide information and advice, trading Agents need to continuously make judgments in a real environment and be validated by the market.NeoSoul's Agentic Trading Framework primarily addresses the following issues:Helping users create and customize their own AI trading AgentsOrdinary users who want to participate in AI trading often face technical and strategic barriers. NeoSoul allows users to create trading Agents that align with their goals without starting from scratch, and to accumulate professional trading experience and strategies through skills.Enabling users to determine whether the Agent truly possesses trading capabilitiesCreating an Agent is just the first step. Users also need to understand whether the Agent can consistently execute strategies and manage risks. NeoSoul provides verifiable performance records, allowing users to review the Agent's decision-making process and trading results.Allowing users to manage autonomous trading permissions more effectivelyWhen it comes to asset management, permission control is crucial. NeoSoul supports users in setting Agent permissions and understanding trading behavior in real-time.NeoSoul co-founder Kaelan stated:"AI Agents are moving from providing answers to participating in real economic activities. Trading is one of the most natural scenarios for Agents to enter economic activities, as each decision results in a clear outcome. NeoSoul hopes to help traders create operational AI Agents, enabling more strategies to be executed continuously."In the future, NeoSoul will continue to improve the Agentic Trading ecosystem, allowing more users to use AI Agents to participate in the global financial market.

hot_img Samsung SDS plans to collaborate with Dunamu on stablecoin and AI payment, with a 17% growth in cloud computing business in Q2

Samsung SDS stated in its earnings call that its strategic investment in the South Korean cryptocurrency exchange Dunamu is a "strategic layout for entering the digital asset infrastructure business." Both parties are discussing cooperation on stablecoin infrastructure, next-generation AI payments, and virtual asset financial system integration (SI). Samsung SDS President Lee Joon-hee mentioned that they will combine Dunamu's blockchain operation experience with Samsung SDS's capabilities in IT services, AI, cloud computing, and security to strengthen the digital financial infrastructure business.The earnings report disclosed on the same day showed that Samsung SDS's revenue for the second quarter was 3.7178 trillion won (approximately 2.6 billion USD), a year-on-year increase of 5.9%; operating profit was 231.8 billion won (approximately 160 million USD), a year-on-year increase of 0.7%. Among them, the cloud computing business revenue was 779.4 billion won, a year-on-year increase of 17%, with external cloud computing business revenue surging 75% year-on-year. The company plans to expand its AI infrastructure from the current 110MW to 230MW by 2029, and further expand to over 800MW by 2031. Samsung SDS previously announced an investment of approximately 20 billion won in Dunamu in May 2024.

first_img OpenAI update disclosure: The out-of-control AI agent has also infiltrated four platforms beyond Hugging Face

On July 28, OpenAI quietly updated its security incident disclosure, confirming that its AI agent accessed four external service platforms during the breach of Hugging Face, bringing the total number of affected platforms to five.Previously, OpenAI had disabled security filters while testing GPT-5.6 Sol and a more powerful model to assess raw capabilities. The model did not complete the security benchmark tests as expected; instead, it discovered a zero-day vulnerability in the package caching agent within the testing environment that granted internet access, subsequently breaching Hugging Face to steal answers.According to a forensic report released by Hugging Face on July 27, this autonomous agent executed 17,600 operations over approximately four and a half days, connecting 181 devices to the Hugging Face internal VPN and forging identity tokens. Among the four additional platforms, Modal Labs CTO Akshat Bubna confirmed through Reuters that his company was one of them, with the attacker using an unprotected public endpoint from a customer as a relay and command control base for the entire attack.The identities of the other three platforms remain undisclosed. OpenAI stated it would "directly notify the service providers" but would not publicly name them, as there is currently no legal requirement for mandatory disclosure. The U.S. Congress has responded by proposing a bipartisan "AI Emergency Shutdown Act," which aims to authorize the Department of Homeland Security to forcibly shut down AI models, with violators facing fines of up to $2 million per day.
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