Apple has its own GPT AI system but no plans to release it publicly, according to a report.

Apple has its own GPT AI system but no plans to release it publicly, according to a report.

The Rise of Generative AI Models in the Blockchain Industry

The blockchain industry has witnessed significant advancements in the field of artificial intelligence (AI), particularly with the emergence of generative pre-trained transformer (GPT) models. One notable development in this space is Apple’s reported development of its own GPT model, internally known as “Ajax.” However, there is no indication yet that Apple intends to release this AI model to the public.

Apple’s approach to developing its products within a walled garden has been well-established. While Ajax, or “Apple GPT,” may potentially become a consumer-facing product in the future, its current infrastructure poses a challenge. The codename “Ajax” signifies its development on top of Google Jax, a machine learning framework, and its utilization of Google Cloud. This reliance on external resources might limit Apple’s ability to scale Ajax beyond internal testing in a cost-effective manner.

In the realm of consumer-facing generative AI technology, Google’s Bard AI system stands as one of the primary competitors, facing opposition from Microsoft’s BingAI and OpenAI’s ChatGPT. Unlike its competitors, Apple has not yet expressed its intention to enter this arena. However, Apple’s track record in the AI domain reveals a strong emphasis on privacy, favoring onboard processors over cloud-based services.

The typical functionality of chatbot technology, exemplified by ChatGPT, relies on internet connectivity. Although it is possible to run a chatbot on discrete architecture such as an iPhone’s AI chip, the hardware constraints limit the model’s size and capabilities. Nevertheless, if Apple were to develop a highly useful GPT model capable of running discreetly on iPhone hardware, it could cater to users who prioritize privacy over the conversational features offered by larger cloud-based models. This would particularly benefit users who require privacy as a default setting.

Furthermore, such a development could address some of the existing issues with GPT-based chatbots. For instance, current cryptocurrency trading bots built on GPT technology are prone to hallucinations, where they may generate inaccurate information when faced with a lack of factual answers. By having a pretrained chatbot that can reference user-tuned data sets and operate discreetly on an iPhone, noisy data for trading bots can be eliminated, ensuring the complete privacy of users’ financial data, including wallet keys, personally identifiable information, and transaction records.

While Apple’s impact in the chatbot space has been limited thus far, the Cupertino-based company remains one of the most influential players in AI. The AI capabilities powering the iPhone’s camera and photography editing suite are cutting-edge, and Apple Research consistently publishes significant papers in the machine learning field. Moreover, renowned experts and luminaries in the AI domain have passed through Apple’s secretive AI labs, including Ian Goodfellow, known as the “GANfather,” who recently joined Google DeepMind, and John Giannandrea, the current head of AI at Apple, who previously led Search at Google.

In conclusion, the blockchain industry is witnessing the rise of generative AI models, with Apple exploring the development of its own GPT model. While Apple’s commitment to privacy and onboard processing presents potential challenges, a discrete GPT model running on iPhone hardware could offer enhanced privacy and solve existing issues in the chatbot space. Apple’s prominent position in AI research and its collaboration with industry experts further solidify its influence in the blockchain and AI realms.

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