Is AI actually worthwhile?

A number of large IT companies are investing billions in AI. This includes developing/training the programmes, building data centres and building power generation and cooling systems for the data centres.

Where is the payback for this?

Will there be sufficient paying business for more than one general AI system?

There are specific areas of machine learning that are beneficial such as medical diagnosis and quality control but these are not general purpose applications.

As I understand the only ‘profit’ that general AI can bring is a reduction in human jobs and salaries. The AI solution must be significantly cheaper than the current human solution including  background costs such as system support and upgrades.

Who takes the responsibility for problems and mistakes? If one of my staff makes a mistake that ends up as my problem. If the AI system makes a mistake that remains my problem but there is nothing I can do about it. How do you ‘un/retrain’ a LLM?

Is AI (other than certain very specific versions) a solution looking for a problem?

Is this the next .com bubble?

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  • I think it is the next .com bubble.  But that doesn't mean we're not all shopping on the internet all these years later.  The hype is currently running well ahead of AI's usefulness.  And also well ahead of AI's ability to actually make money. At the monemt, the "profit" is an accounting trick as everybody is investing in everybody else, and the money is going round and round in circles.

    As I understand the only ‘profit’ that general AI can bring is a reduction in human jobs and salaries. The AI solution must be significantly cheaper than the current human solution including  background costs such as system support and upgrades.

    Senior managers have been sacking workers for years.  AI is mostly being used an excuse.  AI doesn't really make the remaining workers significantly more effective.

    Who takes the responsibility for problems and mistakes? If one of my staff makes a mistake that ends up as my problem. If the AI system makes a mistake that remains my problem but there is nothing I can do about it. How do you ‘un/retrain’ a LLM?

    Ultimately, if you're relying on the output of an AI, you should be checking it, in the same way as you would if you had given the job to a trainee worker.

Reply
  • I think it is the next .com bubble.  But that doesn't mean we're not all shopping on the internet all these years later.  The hype is currently running well ahead of AI's usefulness.  And also well ahead of AI's ability to actually make money. At the monemt, the "profit" is an accounting trick as everybody is investing in everybody else, and the money is going round and round in circles.

    As I understand the only ‘profit’ that general AI can bring is a reduction in human jobs and salaries. The AI solution must be significantly cheaper than the current human solution including  background costs such as system support and upgrades.

    Senior managers have been sacking workers for years.  AI is mostly being used an excuse.  AI doesn't really make the remaining workers significantly more effective.

    Who takes the responsibility for problems and mistakes? If one of my staff makes a mistake that ends up as my problem. If the AI system makes a mistake that remains my problem but there is nothing I can do about it. How do you ‘un/retrain’ a LLM?

    Ultimately, if you're relying on the output of an AI, you should be checking it, in the same way as you would if you had given the job to a trainee worker.

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