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Apple faces AI talent turmoil as senior Siri researcher departs
A senior researcher's exit and a near-mutiny among Apple Intelligence engineers expose Apple's struggle to stay competitive in the AI arms race. Apple is facing mounting internal fractures over its AI strategy, losing one of its top researchers while scrambling to keep key teams on board. It increasingly looks like a crisis of confidence in Cupertino. Tom Gunter, one of Apple's most senior large language model researchers, has left the company after eight years. Colleagues say his deep expertise is tough to replace, especially as rivals like Meta and OpenAI throw around multimillion-dollar pay packages to poach talent. The news comes in a Monday report from Bloomberg that also alleges Apple plans to integrate rival AI models more deeply into Siri. Apple is no longer the most desirable shop in town for machine learning. If it can't match competitors' salaries, Apple risks losing valuable talent. Additionally, the company must provide them with compelling and meaningful projects. Otherwise, it risks its machine learning team becoming hollowed out. Apple nearly lost the entire team behind MLX, its open-source machine learning framework optimized for Apple Silicon. Those engineers reportedly threatened to quit, forcing the company to scramble with counteroffers to keep them. The fact that it came to that brink suggests morale is shaky and confidence in leadership is eroding. MLX isn't a throwaway side project, it's essential for Apple's strategy to get cutting-edge AI running efficiently on its chips. Losing that team would have been a disaster. Apple averted catastrophe this time. But paying people to stay isn't the same as keeping them motivated and aligned with the company's mission. These staffing dramas are a symptom of a deeper strategic confusion. Apple is debating whether to keep investing in its own foundation models or outsource core AI features like Siri to Anthropic or OpenAI. Internally, executives reportedly see their own models as inferior. That kind of language does not inspire confidence in the teams building them. Siri has lagged competitors for years. Outsourcing to Anthropic or OpenAI might be the only way to catch up quickly, even if it undermines Apple's reputation for vertical integration.
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Apple's Top LLM Researcher Quits; MLX Team 'Threatened' to Leave: Report | AIM
Tom Gunter, one of Apple's most senior researchers, left the company last week, Bloomberg reported on June 30. Gunter worked at the company for eight years, and the report added that his colleagues see him as "difficult to replace, given his unique skillset". Furthermore, the company was also reported to have 'nearly lost' the team behind MLX, an open-source machine learning framework designed for Apple's in-house silicon hardware. However, they made counteroffers after the engineers "threatened" to leave, and eventually retained them. "Given how crucial it is, the team should have already been scaled up fivefold. Instead, it seems to be neglected by management," said Ronald Mannak, creator of Pico, a suite of LLM apps and tools for iOS and macOS, which is built on MLX. The development comes at a time when Apple is considering options to utilise third-party AI models for a new version of Siri, its virtual assistant. According to the report, members have indicated internally that they're unhappy with Apple's exploration of third-party options, which is creating a perception that they're responsible for the company's AI shortcomings. These employees also said that they could leave for 'multimillion-dollar packages' being offered by companies like Meta and OpenAI. Moreover, Bloomberg noted that Apple often pays its engineers half, or even less, than what's offered in the open market. One of the significant troubles the company has been facing is the delay of an upgraded version of Siri, which was announced in 2024. It is delayed until 2026, with reports highlighting that Apple struggled to mitigate various bugs and engineering problems within Siri. Recently, it was reported that Apple is interested in acquiring Perplexity AI, which is valued at $14 billion. Besides, Eddy Cue, Apple's senior vice president of services, revealed that Apple has had discussions with Perplexity to integrate AI-enabled search services on Safari. The company is exploring various AI labs, such as OpenAI and Anthropic, to integrate AI search features into Safari. Google CEO Sundar Pichai has announced that the company is in talks with Apple to integrate Gemini into Apple Intelligence this year. Meanwhile, Apple CEO Tim Cook, in an interaction with Pichai, said that 'more third-party AI models' would ship to Apple Intelligence this year.
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Apple faces internal challenges as a top AI researcher leaves and the MLX team threatens to quit, highlighting the company's struggle to compete in the AI race and retain talent.
Apple, a tech giant known for its innovation, is facing significant hurdles in its artificial intelligence (AI) strategy. The company is grappling with talent retention issues and internal debates about its AI direction, potentially jeopardizing its competitive edge in the rapidly evolving AI landscape.
Tom Gunter, one of Apple's most senior large language model researchers, has left the company after an eight-year tenure 12. This departure is seen as a significant loss, with colleagues stating that his deep expertise will be challenging to replace. The exit comes at a time when rival companies like Meta and OpenAI are offering multimillion-dollar packages to attract top AI talent 1.
In a separate but related incident, Apple nearly lost the entire team behind MLX, its open-source machine learning framework optimized for Apple Silicon 12. The engineers reportedly threatened to quit, forcing Apple to make counteroffers to retain them. This near-miss highlights the precarious state of Apple's AI talent pool and the company's struggle to keep its teams motivated and aligned with its mission.
Source: Analytics India Magazine
Apple's compensation strategy is coming under scrutiny as the company reportedly pays its engineers significantly less than market rates. Bloomberg noted that Apple often pays its engineers half, or even less, than what's offered in the open market 2. This disparity is making it increasingly difficult for Apple to retain top AI talent in a highly competitive field.
Apple is at a crossroads in its AI strategy. The company is debating whether to continue investing in its own foundation models or to outsource core AI features, including Siri, to companies like Anthropic or OpenAI 1. This consideration comes as Apple's own AI models are reportedly seen as inferior by internal executives, potentially undermining the confidence of the teams developing them.
The company is facing delays in upgrading Siri, its virtual assistant. An upgraded version announced in 2024 has been pushed back to 2026 due to various bugs and engineering problems 2. In light of these challenges, Apple is exploring partnerships with third-party AI labs and considering integrating rival AI models more deeply into Siri 1.
Source: AppleInsider
These developments paint a picture of a company struggling to maintain its footing in the AI arms race. As Apple grapples with talent retention, strategic direction, and product development challenges, it risks falling behind competitors who are making rapid advancements in AI technology. The company's ability to navigate these challenges will be crucial in determining its future position in the AI-driven tech landscape.
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|Apple's Top LLM Researcher Quits; MLX Team 'Threatened' to Leave: Report | AIMIlya Sutskever, co-founder of Safe Superintelligence (SSI), assumes the role of CEO following the departure of Daniel Gross to Meta. The move highlights the intensifying competition for top AI talent among tech giants.
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