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  • What are some potential ways in which AI could be used in the future?

    Moiz Farooq
    2 replies

    Replies

    Richard Gao
    There's two that are quite popular right now: Stable Diffusion and GPT-3 So if we focus on the LLMs and image generators, I think that: - We'll greater content output from anything to do with writing. Imagine a blog writer outputting 5 high quality articles per day rather than just 1 per every couple of days. And I would imagine the low effort posts like top 10 lists could number in the hundreds per day. For novelists, they might be able to output far more books per year than the current rate. - Lowering the costs for graphic design and marketing greatly. For example, being able to create a logo in seconds from a Stable Diffusion prompt, or promotional poster artwork at the same speed as well. - Lowering the costs for media production greatly. Text to video is on the horizon, imagine being able to create an entire animated movie in the span of a few months with just text to video. I don't know what other AIs might bring, for example, music AIs might make musicians produce music faster, or voice cloning AI might make scriptwriting or voice acting easier, but it certainly is interesting. I see you're building an AI app. If you're interested, I'm currently building an AI API that allows you to run AI models with a cloud API. It'll work similar to GPT-3, but with an open source model on the cloud (BLOOM). To be transparent, results will probably lag behind GPT-3, but it'll be less restrictive and cheaper. If you're interested, you can check out my twitter where I post more progress: https://twitter.com/TheRealEtch Also got a pre-launch discord server link in bio. Good luck on your AI project!
    Hemant Warier
    There are many potential ways in which AI could be used in the future, including: 1. Automating repetitive and tedious tasks, such as data entry and analysis, to increase efficiency and productivity. 2. Providing personalized and customized experiences for users, such as personalized recommendations and personalized content. 3. Improving decision-making and problem-solving through advanced algorithms and data analysis. 4. Enhancing and augmenting human abilities, such as through wearable technology or implantable devices. 5. Providing healthcare and medical services, such as diagnostics and treatment recommendations. 6. Improving transportation and logistics, such as through self-driving cars and drones. 7. Enhancing security and surveillance, such as through facial recognition and behavior analysis. 8. Improving environmental sustainability, such as through smart energy systems and waste management.