尽管大肆宣传，ChatGPT-4o 还是表现平平

狗狗币创始人 Billy Markus（又名 Shibetoshi Nakamoto）透露了 OpenAI 的 ChatGPT-4o 的即时结果，并对其表现表示不满。尽管是 OpenAI 最新、最复杂的聊天机器人，Markus 证明 ChatGPT-4o 对有关 GME 股票提示的响应不准确，并且与预期输出相去甚远。

ChatGPT-4o Reveals Imperfections, Despite Grand Promises

尽管前景广阔，但 ChatGPT-4o 仍存在缺陷

Dogecoin co-founder Billy Markus, widely known as Shibetoshi Nakamoto on social media platforms, has recently disclosed the results of a prompt request made to OpenAI's latest chatbot, ChatGPT-4o. Markus shared that he instructed the AI to "make a meme about GME stock," expecting a witty or humorous response. However, the result left Markus unimpressed and prompted him to question the capabilities of this highly anticipated language model.

狗狗币联合创始人 Billy Markus（在社交媒体平台上被广泛称为 Shibetoshi Nakamoto）最近披露了向 OpenAI 最新聊天机器人 ChatGPT-4o 发出的即时请求的结果。马库斯表示，他指示人工智能“制作一个关于 GME 股票的表情包”，期待得到机智或幽默的回应。然而，结果让马库斯不以为然，并促使他质疑这种备受期待的语言模型的能力。

Markus's prompt was carefully chosen, considering the recent resurgence of interest in GameStop stock. The gaming retailer's shares had surged by over 80% since the preceding Friday's close, making it a topical and relevant subject for a meme. As an advanced LLM engine, ChatGPT-4o was expected to effortlessly navigate the prompt by drawing upon its vast knowledge and ability to understand context.

考虑到最近人们对 GameStop 股票的兴趣重新抬头，马库斯的提示是经过精心选择的。自上周五收盘以来，这家游戏零售商的股价已飙升超过 80%，使其成为热门话题。作为一个先进的 LLM 引擎，ChatGPT-4o 有望利用其丰富的知识和理解上下文的能力，轻松地导航提示。

Disappointingly, the result generated by ChatGPT-4o fell far short of Markus's expectations. The chatbot's response was neither humorous nor insightful, instead producing a rather bland and uninspired meme that simply stated "crayon eater." Markus's tweet, which included a screenshot of the exchange, sparked a lively discussion among followers, highlighting the perceived limitations of the supposedly cutting-edge chatbot.

令人失望的是，ChatGPT-4o 生成的结果远远低于 Markus 的预期。聊天机器人的反应既不幽默，也不富有洞察力，而是产生了一个相当平淡无奇的模因，只是简单地写着“蜡笔食者”。马库斯的推文包含了此次交流的屏幕截图，引发了关注者的热烈讨论，强调了所谓的尖端聊天机器人的局限性。

Markus's experience with ChatGPT-4o raises concerns about the true capabilities of LLMs, despite their widely publicized advancements. While these models have demonstrated impressive abilities in certain areas, such as generating text, translating languages, and answering questions, they still exhibit significant shortcomings when it comes to understanding and responding to complex prompts or generating nuanced content.

马库斯在 ChatGPT-4o 方面的经验引起了人们对法学硕士真实能力的担忧，尽管它们的进步已被广泛宣传。尽管这些模型在某些领域（例如生成文本、翻译语言和回答问题）表现出了令人印象深刻的能力，但在理解和响应复杂提示或生成细致入微的内容方面仍然表现出明显的缺点。

The shortcomings of ChatGPT-4o serve as a reminder that LLMs are still very much in their infancy, and their development is an ongoing process. While they have the potential to revolutionize various industries, their limitations must be acknowledged and addressed. As researchers and developers continue to refine and improve these models, it is crucial to maintain realistic expectations about their capabilities and to approach their results with a critical eye.

ChatGPT-4o 的缺点提醒人们，法学硕士仍处于起步阶段，其发展是一个持续的过程。虽然它们有潜力彻底改变各个行业，但必须承认并解决它们的局限性。随着研究人员和开发人员不断完善和改进这些模型，保持对其能力的现实期望并以批判的眼光对待他们的结果至关重要。