Google's AI research arm, DeepMind, has released a paper warning that Artificial General Intelligence (AGI) could arrive by 2030 and pose significant risks to humanity. The paper categorizes these risks into misuse, misalignment, mistakes, and structural risks, emphasizing the need for robust safety protocols and alignment with human values to mitigate potential harm. AGI could 'permanently destroy humanity' if not properly managed. OpenAI has revised its AI model release strategy, announcing the launch of o3 and o4-mini models in the coming weeks, while delaying the highly anticipated GPT-5 model. The company aims to enhance GPT-5's capabilities significantly, citing technical integration challenges and the need to prepare for unprecedented demand. The o3 model will include a professional mode with increased processing power. Google has introduced Gemini 2.5 Pro, a new AI model that excels in coding and reasoning tasks. The model is now available in public preview and is praised for its performance, including a 1 million token context window, which allows it to handle complex tasks effectively. Gemini 2.5 Pro outperforms other models in its category. OpenAI's CEO, Sam Altman, has indicated that the company plans to offer unlimited access to GPT-5 at a standard intelligence setting for free ChatGPT users, with enhanced capabilities for paid subscribers. This move is part of OpenAI's strategy to meet the expected high demand for the model. Emergence AI is making strides towards autonomous agents and recursive intelligence with its Agents platform. The platform aims to automatically create and assemble multi-agent systems with minimal human intervention, focusing on self-exploration, simulation, and self-evaluation to enhance intelligence. This includes the development of self-assembling multi-agent systems.
🔮 The Future of AI: Agents, Security & Human-AI Synergy 📢 Key Insight: AI is evolving from passive tools to proactive partners, reshaping workflows, security, and creativity. Key Discussions: 🚀 AI Agents in Action: @jainarvind highlights how AI agents automate complex
Gemini 2.5 Pro Experimental is praised by developers, especially for coding and its 1 million token context window. 💻 Google's AI strengths: https://t.co/Ilab7NQjN9 #Gemini
Gemini 2.5 isn’t just smart. It’s showing early signs of being able to plan ahead, reason through data, and make logical choices. https://t.co/A51OSDDaqW