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    OpenAI’s ChatGPT Faces Criticism for Unresponsive Behavior

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    OpenAI recently acknowledged that its large-scale language model, ChatGPT 4, has been “delayed” and that this could impact future AI advances. This fact comes after many user complaints about poor model performance.

    ChatGPT users have noticed that ChatGPT-4 is lagging, refusing to perform some tasks, or not returning the specified results. OpenAI, the company behind the popular language model ChatGPT, has acknowledged that the model is lagging, but it's unclear why.

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    According to OpenAI, this could impact the future of artificial intelligence (AI).

    Some X (formerly Twitter) user They call this event the “winter vacation hypothesis.” Although unproven, it is true that the world of AI language models is getting weirder as AI researchers take this issue seriously.

    ChatGPT-4 becomes “lazy”

    There have been some user reports of poor performance with this model. They highlighted issues such as incomplete tasks, shortcuts, and avoidance of responsibility for directed ChatGPT tasks.

    OpenAI acknowledged the feedback in a series of tweets, claiming that the model has not been updated at all since November 11th. They went on to say that the observed laziness was not intentional and was due to the unpredictable nature of large-scale language models.

    Some X accounts openly tweeted their displeasure.Martian Asked If a large language model could simulate seasonal depression.Also Mike Swoopski Asked Suppose your language model learns from its training data that people typically slow down at work in December and postpone bigger projects until the new year, which is why they've been slacking lately.

    Additionally, he noted that ChatGPT's system prompt sends the bot the current date, leading some to think there may be more to this idea.

    Such a bizarre proposal was accepted because research has shown that large language models like GPT-4 respond to human-like encouragement. GPT-4 powers the paid version of his ChatGPT to respond to human-like encouragement, such as telling the bot to “take a deep breath” before solving a math problem.

    But people haven't done much formal experimentation telling large language models that: receive a tip To work. Also, telling the bot that it has no fingers can help lengthen the output if the model is delayed.

    Is it a lot of progress?

    ChatGPT-4's slow performance may suggest that it may take longer than expected to reach true artificial intelligence that can think and solve problems on its own. Therefore, there is growing uncertainty about whether AI can handle tasks independently. Several sectors that rely on AI will be affected by delays in this process.

    But instead of viewing this as a complete stoppage, you can view it as an opportunity to learn.

    Importantly, scientists can learn more about how AI works by figuring out why ChatGPT is having problems. This provides guidance for creating active and smart AI in the future.

    Moreover, while the immediate future of AI may not be as amazing as we think, ChatGPT's difficulties are a reminder of the tough road ahead. By recognizing and addressing these challenges, we can approach real AI with better knowledge and care.

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