Apple’s stock experienced a brief surge on Wednesday following a report by Bloomberg News indicating that the company is currently working on its own internal artificial intelligence (AI) large language model. The stock saw an increase of approximately 1% during midday trading. This move by Apple suggests that it is taking recent advancements in AI technology seriously and is considering incorporating them into its future products. Interestingly, Apple tends to use the term “machine learning” rather than “artificial intelligence” when referring to these developments.
Apple’s Internal AI Foundation and Chatbot
Known as Ajax, Apple’s internal foundation for AI has played a pivotal role in the company’s progress. According to the Bloomberg News report, a small team of engineers at Apple has already developed a chatbot referred to as “Apple GPT.” However, access to this chatbot is restricted within the company. It is speculated by some Apple employees that the company is preparing to make a significant AI-related announcement in the upcoming year.
Apple’s Existing Use of Machine Learning
While large language models (LLMs) have gained significant attention in the tech industry, Apple has already been incorporating machine learning into its products. For instance, Siri’s speech recognition and the Photos app’s ability to detect faces and pets heavily rely on machine learning algorithms. This demonstrates that Apple has been actively leveraging AI technology, albeit not in the form of LLMs, in its current lineup of products.
Playing Catch-Up with Competitors
In comparison to its competitors, Apple appears to be relatively late in adopting LLM technology. Microsoft has already integrated OpenAI’s ChatGPT into its software, while Google has incorporated its own language model, Bard, into its search engine. Additionally, Amazon is set to offer LLMs through its AWS platform, and Meta recently open-sourced a substantial LLM project. In an effort to close this gap, Qualcomm, a major competitor in the smartphone market, announced its collaboration with Meta to ensure that LLMs can operate directly on Android devices, rather than relying on remote servers in the cloud.
Overall, Apple’s exploration of developing an internal artificial intelligence language model demonstrates its commitment to staying at the forefront of technological advancements. While it may be playing catch-up with its competitors in the field of LLMs, Apple’s existing utilization of machine learning showcases its ongoing dedication to integrating AI into its products. As the company continues to delve deeper into the realm of AI, it is likely that Apple will unveil further innovative developments in the near future.
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