Apple in the Race: Testing a ChatGPT-Comparable AI Chatbot

Apple is gearing up to join the competition in the realm of artificial intelligence by testing its own AI chatbot, similar to OpenAI's ChatGPT. With its proprietary framework called 'Ajax,' Apple is seeking to carve its niche in large language models, a space dominated by AI offerings such as Google's Bard and OpenAI's ChatGPT. Although Apple's AI initiatives have been relatively quiet compared to tech giants like Google, Microsoft, and Meta, the tech giant is now concentrating on addressing privacy concerns and meeting customer demand for generative AI tools.

In the evolving world of Artificial Intelligence (AI), Apple is now entering the race with its AI chatbot, currently being tested and internally referred to as “Apple GPT,” as reported by Bloomberg’s Mark Gurman. The tech behemoth is trying to compete with big names like OpenAI and Google, reflecting a growing trend toward AI application development among tech giants.


Apple’s testing of its chatbot comes on the heels of its development of a proprietary framework named “Ajax.” Created using Google’s machine learning framework, Google JAX, this structure operates on Google Cloud and forms the foundation for the creation of large language models. Similar to other AI systems like ChatGPT from OpenAI and Bard from Google, Ajax serves as a stepping stone towards Apple’s AI ambition.

Despite initial hesitation due to security concerns over generative AI, the chatbot has been expanded to more Apple employees. Yet, it’s crucial to note that access requires specific approval to ensure controlled use of the new technology. Furthermore, any output from the chatbot cannot be used to develop customer-facing features, keeping consumer data and privacy concerns at the forefront.

One of the significant uses of the AI chatbot within Apple is in the realm of product prototyping. The chatbot can be utilized to summarize text and answer queries based on the data it has been trained with, making it an efficient tool for development and design processes. Despite these advances, the chatbot doesn’t bring any novel features compared to existing AI chatbots like Bard, ChatGPT, and Bing AI.

Simultaneously, Apple is on the hunt for experts in generative AI. This hiring initiative suggests Apple’s commitment to strengthening its AI capabilities and delivering the best AI products in the competitive tech industry. Their job listings explicitly mention a “robust understanding of large language models and generative AI,” indicating the desired skillset for their potential employees.

Apple’s approach to AI development has been markedly more cautious than competitors like Google, Microsoft, and Meta, who have aggressively released generative AI products to the public. Apple’s reticence may be due to its historical commitment to user privacy, which can be a complex issue to navigate with AI technologies. Yet, with AI features integrated across its existing products and apps, Apple is now working to meet customer demand for more sophisticated, generative AI tools.

Apple’s CEO, Tim Cook, has been vocal about the company’s approach to AI, emphasizing that while they intend to add more AI to their products, it would be done in a thoughtful and privacy-centric manner. This balanced approach shows Apple’s commitment to providing advanced technology without compromising the security and privacy of its users.

As the tech giant prepares to make a significant AI-related announcement next year, industry experts and consumers alike eagerly anticipate how Apple’s entrance into AI will shape the landscape. Will Apple be able to disrupt the status quo, or will it simply fall in line with the current players in the field? Only time will tell.


Recent Content

Utilities are unlocking real-time intelligence and predictive maintenance by combining edge computing and AI with private LTE/5G networks. This blog explores how utilities process critical data locally to automate decisions, detect anomalies, optimize asset performance, and improve operational resilience—laying the foundation for the autonomous grid.
Utilities are implementing private LTE and 5G networks across diverse environments—from turbine halls and substations to national grid systems. This blog outlines the key deployment architectures (site-specific, regional, wide-area, and indoor) and spectrum strategies utilities are using to deliver secure, scalable, and purpose-built connectivity for modern energy operations.
Private LTE and 5G networks are transforming how utilities operate by enabling a wide range of mission-critical and emerging applications. From AMI and substation automation to drone inspections and edge AI, this post outlines 12 strategic use cases that demonstrate why utilities are investing in private cellular infrastructure to improve safety, performance, and operational agility across the grid.
As the energy grid becomes more distributed and digital, utilities are investing in private LTE and 5G networks to future-proof their operations. These purpose-built networks support secure, real-time communications, improve operational visibility, and enable automation, delivering the connectivity backbone required for a modern, resilient grid.
Verizon Business and Nokia will deploy six private 5G networks across Thames Freeport’s major logistics sites, including the Port of Tilbury, London Gateway, and Ford Dagenham to create a high-performance digital infrastructure supporting real-time logistics, AI automation, and edge computing. With plans to generate 5,000 skilled jobs and power sustainable trade, this initiative positions Thames Freeport as a next-gen smart trade corridor.
Hrvatski Telekom’s NextGen 5G Airports project will deploy Private 5G Networks at Zagreb, Zadar, and Pula Airports to boost safety, efficiency, and airport automation. By combining 5G Standalone, Edge Computing, AI, and IoT, the initiative enables drones, smart cameras, and AI tablets to digitize inspections, secure perimeters, and streamline operations, redefining aviation connectivity in Croatia.
Whitepaper
As VoLTE becomes the standard for voice communication, its rapid deployment exposes telecom networks to new security risks, especially in roaming scenarios. SecurityGen’s research uncovers key vulnerabilities like unauthorized access to IMS, SIP protocol threats, and lack of encryption. Learn how to strengthen VoLTE security with proactive measures such as...
Whitepaper
Dive into the comprehensive analysis of GTPu within 5G networks in our whitepaper, offering insights into its operational mechanics, strategic importance, and adaptation to the evolving landscape of cellular technologies....

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Readiness Assessment

Run your readiness check now — for enterprises, operators, OEMs & SIs planning and delivering Private 5G solutions with confidence.