• AI and the Law – This Vox article is OpenAI training data – How AI is holding the internet hostage and media is no exception

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    https://www.vox.com/technology/352849/openai-chatgpt-google-meta-artificial-intelligence-vox-media-chatbots

     

     

    • Pros of AI Chatbots:
      • Efficiency and Accessibility: AI chatbots can handle a large volume of queries simultaneously, providing quick and consistent responses, which is beneficial for customer service and support.
      • 24/7 Availability: Unlike human operators, chatbots are available around the clock, ensuring that users can get assistance at any time.
      • Cost-Effective: Implementing chatbots can reduce operational costs for businesses by minimizing the need for large customer service teams.
      • Personalization and Scalability: Advanced AI can offer personalized responses and scale effortlessly to meet demand.

     

    • Cons of AI Chatbots:
      • Bias and Misinformation: AI chatbots can inadvertently propagate biases present in their training data, leading to inaccurate or offensive responses.
      • Lack of Human Touch: Chatbots may struggle to understand and respond appropriately to nuanced human emotions and complex queries, potentially frustrating users.
      • Technical Limitations: While AI is advancing, chatbots can still make errors and provide incorrect information, which can undermine user trust.
      • Environmental Impact: Training and running large AI models consume significant energy, contributing to carbon emissions and environmental concerns.

     

     

    The deployment of AI chatbots raises significant ethical concerns. Biases in training data can lead to the generation of skewed or harmful content, posing risks to users and undermining trust in AI systems. Additionally, the potential misuse of AI chatbots for spreading misinformation and the environmental impact of training large AI models are critical issues that require attention.

     

    The trajectory of AI chatbot development points towards increasingly sophisticated and generalized AI capabilities. As research progresses towards Artificial General Intelligence (AGI), the potential applications of AI chatbots are expected to expand further, encompassing more complex and nuanced tasks. However, achieving AGI will require addressing current ethical and technical challenges to ensure the responsible development and deployment of AI technologies.

  • AnimationXpress.com interviews Daniele Tosti for TheCgCareer.com channel

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     https://www.animationxpress.com/vfx/meet-daniele-tosti-a-senior-cg-artist-who-is-on-a-mission-to-inspire-the-next-generation-of-artists/

    You’ve been in the VFX Industry for over a decade. Tell us about your journey.

    It all started with my older brother giving me a Commodore64 personal computer as a gift back in the late 80′. I realised then I could create something directly from my imagination using this new digital media format. And, eventually, make a living in the process.
    That led me to start my professional career in 1990. From live TV to games to animation. All the way to live action VFX in the recent years.

    I really never stopped to crave to create art since those early days. And I have been incredibly fortunate to work with really great talent along the way, which made my journey so much more effective.

     

    What inspired you to pursue VFX as a career?

    An incredible combination of opportunities, really. The opportunity to express myself as an artist and earn money in the process. The opportunity to learn about how the world around us works and how best solve problems. The opportunity to share my time with other talented people with similar passions. The opportunity to grow and adapt to new challenges. The opportunity to develop something that was never done before. A perfect storm of creativity that fed my continuous curiosity about life and genuinely drove my inspiration.

     

    Tell us about the projects you’ve particularly enjoyed working on in your career

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  • GretagMacbeth Color Checker Numeric Values and Middle Gray

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    The human eye perceives half scene brightness not as the linear 50% of the present energy (linear nature values) but as 18% of the overall brightness. We are biased to perceive more information in the dark and contrast areas. A Macbeth chart helps with calibrating back into a photographic capture into this “human perspective” of the world.

    https://en.wikipedia.org/wiki/Middle_gray

    In photography, painting, and other visual arts, middle gray or middle grey is a tone that is perceptually about halfway between black and white on a lightness scale in photography and printing, it is typically defined as 18% reflectance in visible light

    Light meters, cameras, and pictures are often calibrated using an 18% gray card[4][5][6] or a color reference card such as a ColorChecker. On the assumption that 18% is similar to the average reflectance of a scene, a grey card can be used to estimate the required exposure of the film.

    https://en.wikipedia.org/wiki/ColorChecker

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