Feel like we’ve got a lot of tech savvy people here seems like a good place to ask. Basically as a dumb guy that reads the news it seems like everyone that lost their mind (and savings) on crypto just pivoted to AI. In addition to that you’ve got all these people invested in AI companies running around with flashlights under their chins like “bro this is so scary how good we made this thing”. Seems like bullshit.

I’ve seen people generating bits of programming with it which seems useful but idk man. Coming from CNC I don’t think I’d just send it with some chatgpt code. Is it all hype? Is there something actually useful under there?

  • ingy@lemmy.ml
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    1 year ago

    Who better to ask than ChatGPT itself. I threw your entire post at ChatGPT and here’s what it said:

    As an AI language model, I can understand your skepticism and concerns regarding the hype surrounding AI. It’s true that both cryptocurrency and AI have been subjects of intense hype and speculation in recent years. Let me try to address your concerns and shed some light on the practicality and usefulness of AI.

    Crypto Speculation vs. AI Investment: It’s not uncommon for people who experienced gains or losses in one investment area, such as cryptocurrency, to look for new opportunities in other fields like AI. Some might see AI as the next big thing, leading to a surge in investments and hype around AI companies. However, AI and cryptocurrency are fundamentally different, and while there may be some overlap in investor interest, they are distinct technologies with their own set of risks and potential.

    AI’s Practical Applications: AI has indeed shown remarkable promise in various domains. In the tech industry, AI is being applied to natural language processing, image recognition, recommendation systems, healthcare diagnostics, autonomous vehicles, and more. AI has the potential to improve efficiency, automate repetitive tasks, and enable innovative solutions to complex problems. However, it’s crucial to understand that AI is not a magical solution for every problem, and its success depends on careful implementation and understanding its limitations.

    Generative AI: You mentioned seeing people generate bits of programming with AI. Generative AI models, like ChatGPT, can be useful for automating some programming tasks, creating code snippets, generating natural language descriptions, or even helping with creative writing. They can be valuable tools, especially for tasks that involve large amounts of repetitive text generation.

    AI Limitations: While AI has made impressive strides, it’s essential to recognize its limitations. AI models like GPT-3 excel in pattern recognition and generating coherent text, but they lack true understanding and reasoning capabilities. They also might produce inaccurate or biased outputs if not carefully supervised or fine-tuned.

    Responsible Use of AI: Flashy demonstrations of AI capabilities can be attention-grabbing, but it’s crucial to use AI responsibly and ethically. As with any powerful technology, there are potential risks, such as misuse or perpetuating harmful stereotypes. So, while there is genuine utility in AI, there must be a balance in understanding its capabilities and using it in ways that benefit society.

    In conclusion, AI is not all hype, and it has genuine practical applications in various industries. However, it’s crucial to approach AI investment and usage with a critical eye, understanding its limitations, and using it responsibly to unlock its true potential. Like any tool, it can be valuable when applied appropriately and with clear goals in mind.