Apple WWDC AI Benchmarks Reveal Performance Lag Behind Peers

At Apple's recent Worldwide Developers Conference (WWDC), the company revealed updates to its platforms but faced criticism for its relatively muted AI showcase compared to peers like OpenAI and Google. Apple's in-house AI models, including a compact on-device model and a larger server-based model, still lag behind leading AI technologies in performance, according to newly released benchmarks. Analysts have expressed concern that Apple risks falling behind in AI innovation, particularly as it has yet to make large-scale investments in AI infrastructure similar to other tech giants, potentially impacting its growth and stock valuation. Apple researchers published a study highlighting limitations in large reasoning models, but some AI experts argue this outlook is skewed by Apple's lack of access to high-powered AI hardware, suggesting the company may be underestimating AI capabilities. Despite these challenges, Apple continues to invest in its platforms, emphasizing the importance of maintaining the Mac as a preferred development environment and fostering collaboration among AI developers. The company’s approach reflects a cautious but ongoing commitment to AI development amid an evolving and competitive landscape.