Apple's AI Strategy: Keep Promising, Keep Delaying

Apple Intelligence interface features

Apple's gradual Apple Intelligence rollout continues with today's announcement of Visual Intelligence and enhanced Live Translation capabilities. The company is taking their sweet time with AI, and this slow bullshit lets competitors who launched similar features years ago eat their lunch.

Visual Intelligence: Apple's Take on Object Recognition

Apple's Visual Intelligence brings image recognition capabilities to iPhones, similar to Google Lens which launched in 2017. The main difference is Apple's on-device processing approach - better for privacy, though potentially limited by iPhone hardware constraints.

Google Lens has had years to refine its cloud-based recognition system. Apple's version launches later this year with on-device processing, which should work without internet but may have accuracy trade-offs compared to cloud-based alternatives.

Live Translation: Offline-First Approach

Apple's Live Translation focuses on offline functionality across Messages, FaceTime, and Phone calls. While Google Translate has offered real-time translation for years, Apple's approach prioritizes privacy by keeping translation processing on-device.

The offline capability addresses a legitimate need - translation without internet connectivity. However, Apple's initial release supports limited language pairs, and on-device models typically have accuracy limitations compared to cloud-based systems that benefit from larger datasets and more processing power.

Siri Improvements Still Delayed

Apple continues working on major Siri improvements, though the enhanced version remains in development. The company has acknowledged that current Siri capabilities lag behind user expectations, particularly for conversational AI interactions.

Apple executives have stated that significant Siri upgrades need additional development time to meet their quality standards. Meanwhile, OpenAI shipped working conversational AI in ChatGPT back in 2022 while Apple was still figuring out what AI even means.

Competitive Pressure Mounts

Apple's slow-ass AI rollout is getting them destroyed by competitors. Google Assistant and Alexa have maintained stronger conversational capabilities, while newer AI assistants continue advancing.

Reports suggest Apple has considered partnerships, including potentially integrating Google's Gemini AI to enhance Siri capabilities. This would be a huge "fuck it, we give up" moment for Apple, who usually insists on building everything themselves, but maybe they finally realized their AI is garbage.

Developer Framework Limitations

Apple's Foundation Models framework provides developers access to on-device AI capabilities, emphasizing privacy and offline functionality. However, this approach is fucking limited - on-device models are typically smaller and less capable than cloud-based alternatives.

The offline thing sounds cool until you realize it means your AI is dumber than a cloud-based model from 2022. Most developers just use OpenAI or Google APIs because they actually work, even if it means sending data to the cloud.

Why Apple's AI Strategy Is Both Genius and Fucking Irritating

Apple Intelligence Siri interface with edge glow

Apple finally decided to join the AI party, three years after everyone else. Their small-model, on-device processing approach combined with Private Cloud Compute is actually pretty clever - when it works.

The On-Device Processing Thing Actually Makes Sense

Look, I hate giving Apple credit for anything, but running AI locally instead of sending everything to the cloud isn't completely stupid:

Privacy: Your embarrassing text messages stay on your phone instead of getting fed to some LLM training set. About fucking time.

Speed: No waiting for shitty cell towers when you want to summarize an email. Works instantly when your Wi-Fi decides to take a break.

Offline: Unlike every other AI assistant that becomes braindead without internet, this might actually work on a plane.

Cost: Apple doesn't have to pay for millions of ChatGPT API calls every time someone asks Siri to set a timer. Smart business move disguised as a feature.

The Planned Obsolescence Bullshit Strikes Again

Apple Intelligence needs A17 Pro chips or Apple Silicon to work. Translation: time to buy a new fucking phone.

What actually works:

  • iPhone 16 models (of course the newest ones work)
  • iPhone 15 Pro and Pro Max (base iPhone 15? Go fuck yourself)
  • iPad Pro with M1 or newer
  • iPad Air with M1 or newer
  • Macs with Apple Silicon

Your perfectly functional iPhone 15 can run Call of Duty but somehow can't handle text summarization? It's planned obsolescence disguised as "computational intensity." The iPhone 15 Pro has the same neural engine as the base model - they just flip a software switch.

Why Apple's "Integration" Strategy Is Annoying as Hell

Instead of building a proper AI assistant, Apple decided to sprinkle AI dust across all their apps. Cool concept, shitty execution:

Writing Tools: Works in Mail, Messages, and Pages. Except when it doesn't. Third-party app support is basically nonexistent because Apple's APIs are dogshit.

Image Generation: Genmoji is cute for about five minutes. Image Playground creates the kind of generic clipart that makes your eyes bleed.

Siri: Still can't understand basic requests half the time, but now it fails with more confidence.

The problem? You can't just open "Apple AI" and use it like ChatGPT. Everything's buried in menus and context actions that nobody knows exist.

How Far Behind Apple Really Is

Let's be honest about where Apple stands:

Conversational AI: ChatGPT runs circles around Siri. It's embarrassing how much better OpenAI is at this.

Developer Tools: OpenAI has APIs that actually work. Apple has documentation that was clearly written by someone who's never used their own framework.

User Adoption: Nobody talks about Apple Intelligence because nobody can find it. At least people know where to download ChatGPT.

Enterprise: Why would businesses use Apple's half-baked AI when Google Workspace and Microsoft 365 have had working AI features for years?

Apple Finally Admits They Can't Build AI

ChatGPT integration is Apple waving the white flag. They basically admitted their AI is shit by letting you use OpenAI's instead. They're also planning to add Google Gemini because why not make it even more confusing.

So now you'll have Apple's mediocre AI, ChatGPT, Google's AI, and probably Claude soon. Which one handles your request? Who fucking knows! It'll be like having four different virtual assistants that don't talk to each other.

The privacy angle is hilarious too. Apple spent years telling us they don't send data to third parties, then immediately partnered with OpenAI and Google. "Privacy" until it gets in the way of actually working features.

This whole strategy screams "we have no idea what we're doing but maybe someone else does." Classic Apple: take credit for other people's work and pretend it was the plan all along.

Questions iOS Developers Are Actually Asking

Q

Will Apple's Visual Intelligence actually work or will it be another Apple Maps disaster?

A

"Later in 2025" means maybe December if we're lucky. Given Apple's track record with AI, expect it to struggle with basic object recognition while Apple claims it's "revolutionary." Remember when Siri could barely understand "set a timer for 5 minutes"?

Q

Why does my $800 iPhone 15 not support Apple Intelligence but a $400 Android phone runs AI just fine?

A

Because Apple arbitrarily decided only Pro models and iPhone 16 can handle AI, despite the base iPhone 15 having plenty of processing power. It's planned obsolescence disguised as "chipset limitations." Your phone could run these features, Apple just won't let it.

Q

How badly will Visual Intelligence suck compared to Google Lens?

A

Google Lens actually works because it uses powerful cloud models with massive datasets. Apple's version runs locally on your phone with a model trained on Apple's sanitized data. Expect it to identify "dog" as "furry animal" and completely fail on anything complex or contextual.

Q

Will offline translation actually be useful or just another marketing gimmick?

A

Live Translation works offline for "supported language pairs," which probably means English-Spanish and whatever else fits in the iPhone's storage. Good luck with nuanced conversation

  • you'll get translations that sound like they came from Babelfish in 1998.
Q

What's the real reason Siri keeps getting delayed?

A

Apple has acknowledged their new Siri needs additional development time, indicating significant technical challenges remain. The company has been working on Siri improvements for several years while competitors like Google Assistant and Amazon Alexa have advanced their conversational capabilities.

Q

What will the new personalized Siri be able to do?

A

The delayed Siri update is supposed to understand "personal context" including relationships, communications routine, and more. This would represent a significant advancement from current capabilities, enabling more natural, contextually aware conversations.

Q

Is Apple partnering with Google for Siri improvements?

A

Reports suggest Apple may partner with Google to use Gemini for powering the new Siri, though Apple hasn't officially confirmed this partnership. Such a collaboration would represent a significant strategic shift for Apple's traditionally in-house approach to core features.

Q

How can developers access Apple Intelligence for their apps?

A

Apple's Foundation Models framework allows developers to integrate Apple's AI models while maintaining offline functionality. This reduces cloud API costs and preserves privacy standards while enabling AI-powered features in third-party applications.

Q

What languages will be supported for Apple Intelligence features?

A

Apple Intelligence launched with U.S. English support, later adding Australian, Canadian, New Zealand, South African, and U.K. English. Support for Chinese, English (India), English (Singapore), French, German, Italian, Japanese, Korean, Portuguese, Spanish, and Vietnamese will arrive in 2025.

Q

How does Apple's AI approach differ from competitors like OpenAI?

A

Apple uses a small-model approach with on-device processing, while competitors like OpenAI rely on large cloud-based models. Apple's method prioritizes privacy and offline functionality but may have limitations in complex reasoning tasks that larger models handle better.

Q

Will Apple Intelligence cost money to use?

A

Apple Intelligence features are free to use for supported devices. However, integrated services like ChatGPT may offer premium features for paid subscribers, including unlimited queries and advanced capabilities.

Q

What's the timeline for all Apple Intelligence features?

A

Apple Intelligence has rolled out in waves: the first wave arrived in October 2024 (iOS 18.1), the second wave included features like Genmoji and Image Playground (iOS 18.2), Visual Intelligence and Live Translation are coming with iOS 26 in late 2025, and the advanced Siri overhaul has been delayed until 2026.

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