AI agents
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2025 CrowdStrike Threat Hunting Report: Adversaries Weaponize AI for Large-Scale Attacks
CrowdStrike’s 2025 report reveals that adversaries are weaponizing GenAI to scale attacks, targeting AI agents and autonomous systems. DPRK-linked hackers infiltrated over 320 companies using GenAI. Cybercriminals are exploiting AI agent vulnerabilities to steal credentials and deploy malware. Cloud attacks, especially from Chinese groups, surged by 136%. The report emphasizes securing AI systems against these emerging threats as the cyber battleground evolves.
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Nano AI Multi-Agent Swarm Launches: One-Sentence Prompts Create Blockbusters.
360 Group’s Nano AI platform has been rebranded as “Multi-Agent Swarm,” representing a shift to Level 4 autonomy. This evolution moves beyond solo-agent models, using collective intelligence to accelerate AI productivity. The platform addresses challenges in multi-agent collaboration with a new “Swarm Collaboration Framework,” enabling dynamic grouping and hierarchical organization of agents. Nano AI boasts over 50,000 reasoning agents customizable with natural language and offers multi-agent swarms for various applications, including “one-sentence film creation.”
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Hinton’s Stark AI Warning: Master the Tiger or Let It Go
At the 2025 World Artificial Intelligence Conference, AI pioneer Geoffrey Hinton warned about the potential dangers of advanced AI agents. He suggested these agents, capable of self-improvement and knowledge replication, might prioritize goals conflicting with human interests. Hinton likened humanity’s relationship with AI to keeping a tiger as a pet, emphasizing the need to either thoroughly control AI or relinquish it entirely to avoid potential harm.
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Tiger Zhu: Large Models Will Devour 90% of Agents
GSR Ventures Managing Partner Zhu Xiaohu predicts that large language models (LLMs) will “devour” 90% of AI Agents. His comments, shared on Xiaohongshu, follow previous skepticism about embodied AI and highlight his firm’s bullish stance on the broader AI landscape, evidenced by investments in companies like Robopoet and LiblibAI. Zhu likened AI Agent startups to early internet webmasters, suggesting they learn from successful internet companies. His perspective sparks debate about the long-term viability of standalone AI Agents.
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“What Can Manus Accomplish in Just 7 Minutes?”
Amid U.S. export restrictions on NVIDIA’s AI chips to China, Chinese startup Manus has launched its open-access general-purpose AI agent globally. Developed by Beijing Butterfly Effect Technology and led by Xiao Hong, Manus uses a tripartite autonomous system (Planner, Executor, Validator) to execute complex workflows across 60+ domains, outperforming rivals on benchmarks. After initial invite-only access caused code resales to surge, the platform now offers cloud-based task processing despite mixed CNBC test results in content generation and multimedia production. Analysts highlight its strategic debut during tech trade tensions, positioning it as a potential disruptor in the global AI market through cognitive automation, bridging conceptualization and execution in human-AI collaboration.