August 29, 2023

August 28, 2023

August 30, 2023

  • Models

    A disturbing AI phenomenon could completely upend the internet as we know it

    Business Insider, 08/29/23. The rapid growth of AI-generated content on the internet has raised concerns among experts. They warn that as AI models are trained on other AI-generated content, a phenomenon known as “model collapse” may occur, resulting in lower-quality outputs. This could make it difficult to trace the original source of information, leading to a potential “dark ages of public information.” However, some tech experts believe that human guidance is still crucial for the success and quality of AI-generated models. It is essential to find a balance between the benefits and potential drawbacks of AI-generated content to ensure accurate information online. READ THE ARTICLE

  • Strategy

    Your AI journey: Destined for the ditch?

    CIO, 08/29/23. Unfortunately, the provided prompt is incomplete. To create a meaningful and coherent essay, I would need more information or a specific topic to discuss. Please provide additional details or a new prompt, and I will be happy to assist you in writing a 75-word essay. READ THE ARTICLE

  • Career

    Which AI skills are in demand?

    Industry Dive, 08/29/23. According to recent research from Upwork, the demand for skills related to generative AI has surged in the second quarter of 2023. The most sought-after skills include ChatGPT, BERT, Stable Diffusion, and TensorFlow. AI content creation is also experiencing significant growth in terms of job searches. This indicates that businesses are recognizing the potential of generative AI and are actively seeking employees with the right skills. However, a survey by Salesforce revealed that many workers do not possess the necessary skills to use generative AI safely and effectively. Employees expect their employers to provide opportunities for learning these skills. READ THE ARTICLE

  • Tools

    AI tools make things up a lot, and that’s a huge problem

    CNN, 08/29/23. The rise of artificial intelligence (AI) has brought us AI-powered tools like ChatGPT, which can provide human-like responses to various prompts. However, a major issue that needs to be addressed is the tendency of AI models to generate inaccurate or made-up information, known as “hallucinations” or “confabulations.” While this can be compared to a young child telling imaginative stories, it poses risks when people rely on AI tools for important tasks like legal research or health inquiries. Solving AI hallucinations is a challenging task due to the complexity of the models, but companies are working on solutions. READ THE ARTICLE

  • Trends

    Generative AI megatrends: The four horsemen of Generative AI

    Data Science Central, 08/29/23. The generative AI landscape is becoming clearer with the emergence of four leaders. Azure OpenAI, Meta/Facebook with Llama, IBM Hugging Face, and Databricks with its acquisition of Mosaic are the frontrunners. Notable exclusions include Google, AWS, Tesla, and Oracle. The battleground for generative AI is in the enterprise, and the talent race for AI will be highly competitive. These developments depict interesting times ahead. Image source: https://pixabay.com/photos/horse-horse-race-jockey-7863936/ READ THE ARTICLE