Skip to main content

Digital Trends may earn a commission when you buy through links on our site. Why trust us?

Apple is hoping your emails will fix its misfiring AI

Categories in Apple Mail app.
Nadeem Sarwar / Digital Trends

Apple’s AI efforts haven’t made the same kind of impact as Google’s Gemini, Microsoft Copilot, or OpenAI’s ChatGPT. The company’s AI stack, dubbed Apple Intelligence, hasn’t moved the functional needle for iPhone and Mac users, even triggering an internal management crisis at the company. 

It seems user data could rescue the sinking ship. Earlier today, the company published a Machine Learning research paper that details a new approach to train its onboard AI using data stored on your iPhone, starting with emails. These emails will be used to improve features such as email summarization and Writing Tools. 

Recommended Videos

A brief summary of AI training

Before we dig into the specifics, here’s a brief rundown of how AI tools work. The first step is training, which essentially involves feeding a vast amount of human-created data to an “artificial brain.” Think of books, articles, research papers, and more. The more data it is fed, the better its responses get.

That’s because chatbots, which are technically known as Large Language Models (LLMs), try to understand the pattern and relationship between words. Tools like ChatGPT, which are now integrated within Siri and Apple Intelligence, are essentially word predictors. 

But there is only so much data out there to train an AI, and the whole process is pretty time-consuming and expensive. So, why not use AI-generated data to train your AI? Well, as per research, it will technically “poison” the AI models. That means more inaccurate responses, spouting nonsense, and delivering misleading outputs

How is Apple planning to fix its AI? 

Instead of relying solely on synthetic data, one can improve the responses of an AI tool by refining and fine-tuning it. The best approach to train an AI assistant, however, is to give it more human data. The data stored on your phone is the richest source for such information, but a company can’t simply do that. 

It would be a serious privacy violation and an open invitation to lawsuits. 

What Apple intends to do is take an indirect peek at your emails, without ever copying or sending them to its servers. In a nutshell, all your data remains on your phone. Moreover, Apple is not going to technically “read” your emails. Instead, it will simply compare them to a pile of synthetic emails. 

The secret sauce here is identifying which synthetic data is the closest match for an email written by a human. That would give Apple an idea about which kind of data is the most realistic way humans engage in a conversation. So far, Apple has “typically” used synthetic data for AI training, reports Bloomberg

“This synthetic data can then be used to test the quality of our models on more representative data and identify areas of improvement for features like summarization,” the company explains. It could lead to tangible improvements for the responses you get from Siri and Apple Intelligence down the road.

Based on learnings from realistic human data, Apple aims to improve its email summarization system and a few items in the Writing Tools kit. “The contents of the sampled emails never leave the device and are never shared with Apple,” assures the company. Apple says it has already put similar privacy-first training systems in place for the Genmoji system.

Why is it a crucial step forward?

Right now, the summaries you get courtesy of Apple Intelligence in Mail can often be quite confusing, and occasionally, downright gibberish. The status quo of app notifications is no different, and it got so bad that Apple had to temporarily pause it after drawing flak from the BBC for misrepresenting news articles

The situation is so bad that the summarized notifications have become a joke in our team chats. In its bid to summarize conversations or emails, Apple Intelligence often clubs together random sentences that either make no sense, or give an entirely different spin to what’s really happening.

The core problem is that AI still struggles with context and human intent. The best way to fix it is by training it on more situation-aware material with proper contextual understanding. Recently, AI models capable of reasoning have arrived on the scene, but they haven’t quite been a magic pill. 

The method described by Apple sounds like the best of both worlds. “This process allows us to improve the topics and language of our synthetic emails, which helps us train our models to create better text outputs in features like email summaries, while protecting privacy,” says the company. 

Now, here is the good part. Apple is not going to read all emails stored on iPhones and Macs across the world. Instead, it is taking an opt-in approach. Only users who have explicitly agreed to share Device Analytics data with Apple will be a part of the AI training process. 

You can enable it by following this path: Settings > Privacy & Security > Analytics & Improvements. The company will reportedly kick the plans into action with the upcoming iOS 18.5, iPad 18.5, and macOS 15.5 beta updates. A corresponding build targeted at developers has already been released. 

Nadeem Sarwar
Nadeem is a tech and science journalist who started reading about cool smartphone tech out of curiosity and soon started…
Apple Intelligence is coming to the Apple Watch in a limited capacity
A person wearing the Apple Watch SE 2.

In his most recent Power On newsletter, Apple insider Mark Gurman says the Apple Watch won't be receiving onboard Apple Intelligence, but it will still get useful features that are powered by AI. While the Apple Watch isn't receiving a major overhaul, Gurman says it will get some new interface elements and give users a "smaller taste of the big shifts underway at Apple."

These upcoming changes will be announced in more detail at Apple's Worldwide Developer's Conference (WWDC). Gurman says the two main subjects of the June event will be Apple Intelligence and something called Solarium, the internal name for a new design language Apple plans to implement for iOS, iPadOS, and macOS.

Read more
You might be cooling your PC the wrong way, here’s how to fix it
AIO watercooling and fans in the Corsair Vengeance i5100.

If you're building or tuning a PC with an AIO (all-in-one) liquid cooler or a custom water cooling loop, it's tempting to assume that running your pump at full speed all the time ensures the best thermal performance. After all, more flow equals more cooling, right?

Not exactly. While it might seem logical to max out your CPU cooler’s pump speed for optimal temperatures, doing so can introduce a range of issues that impact not just the thermal performance but also noise levels and system longevity. In this guide, I will break down exactly why running your pump at 100% isn’t always the best idea, and how to properly configure it for a balance between performance, acoustics, and reliability.

Read more
AI can do a lot of things but it can’t make games — or even play them yet
Claude playing Pokemon on Twitch.

As AI tools improve, we keep getting encouraged to offload more and more complex tasks to them. LLMs can write our emails for us, create presentations, design apps, generate videos, search the internet and summarize the results, and so much more. One thing they're still really struggling with, however, is video games.

So far this year, two of the biggest names in AI (Microsoft and Anthropic) have tried to get their models to generate or play games, and the results are probably a lot more limited than many people expect.

Read more