In the whirlwind of technological advancements, artificial intelligence (AI) often becomes the scapegoat for broader societal issues. It’s an easy target, a non-human entity that we can blame for job displacement, privacy concerns, and even ethical dilemmas. However, this perspective is not only simplistic but also misdirected.

The crux of the matter isn’t AI itself, but the economic system under which it operates - capitalism. It’s capitalism that dictates the motives behind AI development and deployment. Under this system, AI is primarily used to maximize profits, often at the expense of the workforce and ethical considerations. This profit-driven motive can lead to job losses as companies seek to cut costs, and it can prioritize corporate interests over privacy and fairness.

So, why should we shift our anger from AI to capitalism? Because AI, as a tool, has immense potential to improve lives, solve complex problems, and create new opportunities. It’s the framework of capitalism, with its inherent drive for profit over people, that often warps these potentials into societal challenges.

By focusing our frustrations on capitalism, we advocate for a change in the system that governs AI’s application. We open up a dialogue about how we can harness AI ethically and equitably, ensuring that its benefits are widely distributed rather than concentrated in the hands of a few. We can push for regulations that protect workers, maintain privacy, and ensure AI is used for the public good.

In conclusion, AI is not the enemy; unchecked capitalism is. It’s time we recognize that our anger should not be at the technology that could pave the way for a better future, but at the economic system that shapes how this technology is used.

  • Lmaydev@programming.dev
    135·
    9 months ago

    LLMs real power isn’t generating fresh content it’s their ability to understand language.

    Using one to summarise articles gives incredibly good results.

    I use Bing enterprise everyday at work as a programmer. It makes information gathering and learning so much easier.

    It’s decent at writing code but that’s not the main selling point in my opinion.

    Plus they are general models to show the capabilities. Once the tech is more advanced you can train models for specific purposes.

    It seems obvious an AI that can do creative writing and coding wouldn’t be as good at either.

    These are generation 0. There’ll be a lot of advances coming.

    Also LLMs are a very specific type of machine learning and any advances will help the rest of the field. AI is already widely used in many fields.