Why Apple Intelligence failed | Tech Industry - Blind
Apple's attempt at artificial intelligence has been a subject of discussion in the tech industry, particularly with regards to their Siri voice assistant. A recent revamp of their AI systems, known internally as the LLM team, has raised questions about Apple's capability to compete with the likes of Google's OpenAI and Meta's deep mind.
Many critics argue that Apple lacks the talent pool and innovative drive that companies like Google possess. The absence of genius engineers specializing in open AI and deep mind technologies has left Apple trailing behind in the AI race.
Despite efforts to bolster their AI capabilities, Apple has been criticized for prioritizing hardware development over AI research. Individual managers wield significant power within the organization, leading to internal politics taking precedence over fostering a culture of innovation and collaboration.
Even industry players like Salesforce have taken jabs at Apple's AI initiatives, highlighting the need for Apple's AIML team to step up their game. The tech community expected more from Apple, especially with the anticipation surrounding the potential use of Gemini, a project that has yet to materialize.
It is evident that Apple's struggle in the realm of artificial intelligence stems not from a lack of talent, but rather from internal challenges and a corporate focus that may not align with the demands of the rapidly evolving tech landscape.
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