Web3 AI Agents: A2A & MCP Blind Spots
Exploring the limitations of applying web2 A2A and MCP protocols directly to web3 AI agents due to application maturity gaps, missing infrastructure, and unique decentralized needs.
Exploring the limitations of applying web2 A2A and MCP protocols directly to web3 AI agents due to application maturity gaps, missing infrastructure, and unique decentralized needs.
AI's growing proficiency in virology labs surpasses human experts, raising bioweapon concerns. Safeguards and ethical considerations are crucial to prevent misuse and harness AI's potential for disease prevention and medicine.
Former Google CEO Eric Schmidt warns that AI may soon surpass human control, emphasizing the critical need for safety and governance of these rapidly advancing systems to ensure alignment with human values and prevent potential risks.
A detailed analysis of AI's potential impacts by 2025, drawing insights from Stanford University's AI Index, and exploring both optimistic and pessimistic future scenarios.
Amazon adjusts its data center strategy, pausing global leasing, driven by economic shifts and the rising demands of AI, signaling a broader industry trend.
An in-depth look at OpenAI's new GPT-4.1 family, including GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, focusing on developer-centric features and advancements.
Incorta's Intelligent AP Agent, leveraging Google Cloud's Agentspace and Agent2Agent protocol, transforms finance with real-time insights and automation, fostering seamless AI collaboration across enterprise systems.
OpenAI's advanced AI can now locate you from images, raising privacy concerns. Learn how AI image analysis works, the risks of oversharing, and practical steps to protect your information in this age of AI-powered surveillance.
AI is accelerating exploit creation, shrinking the time for defenders to react. Generative models now craft exploits rapidly, posing new cybersecurity challenges and demanding faster patching and proactive security.
A developer reflects on the potential downsides of excessive AI usage in software development, pondering its impact on skills and the industry's future.