| مستخلص: |
The 2010s witnessed remarkable advancements in machine learning (ML), with breakthroughs in neural networks surpassing expectations and revolutionizing fields such as gaming and scientific research. Companies like DeepMind demonstrated the potential of AI in mastering complex tasks, from playing Go to solving protein folding, fueling a surge of investment and innovation in ML technologies. However, the rise of generative AI tools like ChatGPT in the 2020s sparked debates about their reliability, with issues of hallucination, fabricated outputs, and misplaced trust coming to the forefront. While generative AI has transformed user interactions and corporate strategies, concerns about its energy demands, ethical implications, and control by powerful tech conglomerates raise critical questions about its societal impact. |