- Apple's vision of computers as "bicycles for the mind" that enable creativity and productivity has been a core part of their identity.
- The announcement of Apple Intelligence in 2024 promised transformative AI capabilities like seamless cross-app search and personal context awareness, which was seen as the "holy grail" of trusted compute.
- However, the actual implementation of Apple Intelligence features like Writing Tools, Notification Summaries, and Image Playground have fallen short of expectations and feel "half-baked".
- The author is particularly disappointed by the poor quality and uncreative outputs of the Image Playground generative AI feature, which produces disturbing and soulless images.
- The author argues that generative AI should not be treated as a product in itself, but rather as an implementation detail to enhance more fundamental creative and productivity experiences.
- Apple has developed an impressive system called "Private Cloud Compute" that enables highly secure and private AI processing on-device or in a trusted cloud environment, but this foundational technology is being underutilized.
- The author laments that Apple has "squandered the holy grail" of trusted compute and personal context awareness that could have truly transformed the user experience.
- The open-source community is praised for its ability to creatively leverage limited hardware resources, in contrast to Apple's seemingly unconstrained resources.
- The one Apple Intelligence feature the author loves is "Math Notes" for its seamless calculation capabilities within the Notes app.
- Overall, the author is frustrated that Apple has failed to fully realize its vision of computers as "bicycles for the mind" with the current Apple Intelligence implementation.
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They squandered the holy grail - Xe Iaso
Source:
xeiaso.net