January 7th, 2025

Apple and the AI Divide

The article highlights the disconnect between corporate AI initiatives, particularly by Apple, and public sentiment, emphasizing ethical concerns and the need for a user-centered approach in AI integration.

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Apple and the AI Divide

The article discusses the growing divide between corporate interests in artificial intelligence (AI) and public sentiment towards it, particularly focusing on Apple and its recent AI initiatives. The author reflects on a 404 Media article that critiques Meta's use of AI-generated images for ads, highlighting a disconnect between what companies prioritize and what consumers find relevant. Apple, traditionally seen as a company of taste, is also pushing AI features, but not all are well-received. The author notes that while AI technologies like large language models (LLMs) have potential, they are often overhyped and misunderstood. Ethical concerns arise from the use of copyrighted content in training these models, leading to public backlash against AI features, even those that are genuinely useful. The article points out that Apple’s recent AI features, such as those in Photos, have faced criticism despite their utility, largely due to the AI label. The author argues that Apple seems pressured to integrate AI hastily, possibly due to shareholder demands, which may compromise product quality. The piece concludes with a call for a more thoughtful approach to AI integration, emphasizing the need for companies to prioritize user needs over technology for its own sake.

- There is a significant gap between corporate AI initiatives and public interest.

- Apple is facing criticism for hastily integrating AI features without adequate user consideration.

- Ethical issues surrounding AI training datasets contribute to public distrust.

- The author advocates for a more user-centered approach to product design in AI.

- The current copyright landscape favors corporations over individual creators, raising fairness concerns.

Link Icon 8 comments
By @malshe - 3 months
> Apple seems to be pressured to play catch-up on AI technology, and I feel like this is being driven by activist shareholders instead of people who are focused on products.

I get the same sense. When Apple announced their AI features last year, the stock started moving up.

By @raincole - 3 months
When even Mozilla is introducing AI summarization services, I find it's really hard to blame Apple.
By @486sx33 - 3 months
I’d say this is a very general article that isn’t well sourced or referenced.
By @42lux - 3 months
Apple is pretty conservative in their AI approach or am I out of touch? I mean for comparison just look at google, samsung or microsoft.
By @imtringued - 3 months
I wonder why AI is used for these random things that nobody needs, instead of immediately useful things like calibrating microphone volume. I'm so tired of constantly redoing the echo tests, because the software is forgetting what microphone I used last time. Then there are also people who don't bother with the echo tests (I used to be that guy) and you can't understand what they are saying because of volume clipping.
By @sandspar - 3 months
>There’s a group of the population that is disgusted by anything related to LLMs or generative AI.

I feel genuine concern for this group of people, a group which includes some of my own family members. I worry that they're going to be left behind.

By @aleph_minus_one - 3 months
> Blockchains are slow, expensive databases masquerading as a social revolution while functionally being a get-rich-quick scheme.

If you consider a blockchain to be (mostly) a "competitor" to a database, you use it wrong. Blockchains and in particular consensus algorithms for blockchains are a solution to a hard problem: reaching a consensus when not all participants can be trusted.

For any application that needs this problem solved, blockchain algorithms are to my best knowledge basically the only game in town. These applications are rare, but they do exist - for these blockchain and blockchain consensus algorithms are a godsend.

If you have another problem to solve, a blockchain will insanely likely not be the proper solution.