Digital Economy

Apple raises the question of trust but Europe will have to wait

The architecture designed by Cupertino to manage artificial intelligence in devices is unique. Here's how it works

by Luca Tremolada

4' min read

4' min read

Generative artificial intelligence is also a matter of trust and time. This became abundantly clear - and we could not but expect it - with the presentation of the made-in-Cupertino Ai at Apple's developer conference last week in San Francisco. Apple Intelligence, as it was christened, is not a simple Llm but a platform that integrates not only with Apple apps but also with third-party apps. Cupertino's choice is to hook its algorithms to the data in the device and those that developers decide to share with them. The processing will take place when needed and according to the user's requests, either directly on Apple's Private Cloud Computer servers or directly on the device, or externally on other large language models such as OpenAi's ChatGpt, which has entered into an agreement with Apple. The architecture designed by Apple is unique and definitely innovative. The Cupertino company explained that the delay is 'due to regulatory uncertainties caused by the Digital Markets Act, we do not believe we will be able to implement three of these features (iPhone Mirroring, SharePlay and Apple Intelligence) for our European users later this year'. The problem would be in the integration of ChatGpt within the operating system.

For some months now, we have been hearing a lot about Ai-on-device, which means using the hardware of the device (PC or smarphone) to process the very expensive questions we ask chatbots. Ai gen we know is not only energy-intensive but also a headache of no small consequence for the Cio of all companies. Outside the enterprise cloud comptuting that has established rules on the use of corporate data, sending questions containing sensitive information about us and our lives to servers is an activity that will indelibly mark the new era of chatbots. Every time a piece of data leaves a device, it becomes more vulnerable.

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Apple has always been a black belt on this front and over the last ten years has focused its hammering marketing communication precisely on respecting the confidentiality of its users' data.

But how does it work?

With Apple Intelligence, Cupertino claims that its privacy-focused system will first attempt to perform artificial intelligence tasks locally on the device itself. There are at least five fundation models that Apple has made available to its users. As for external providers, as mentioned, Apple has integrated ChatGpt for now, but Cupertino managers have stated that they are also open to other external providers (such as Gemini, for instance). Some have protested that the agreement with OpenAI could break the software-hardware integration that has always been Apple's hallmark. As Apple explains, access to Gpt is through Siri. It is she (or he) who decides whether to use the phone's foundation models or get out of it. In any case, the final word rests with the user who authorises the prompt and services with the OpenAI servers. According to the rules signed with Apple, the IP addresses will be obscured and OpenAi undertakes not to store the prompts in the case of use of the free chatbot. In the paid mode, however, the privacy policy signed with OpenAI prevails.

Data that is then exchanged with cloud services will be encrypted and then deleted.

But who checks? The process, Apple said, will be subject to verification by independent security researchers. And that is very good news. But it will not be simple. On a technical level. If you ask a computer security expert, he will explain that pinging patterns even for simple tasks still requires huge amounts of computing power. Achieving this with chips used in phones and laptops is the real challenge for all consumer electronics manufacturers.

Microsoft has postponed the debut of its Recall feature that keeps track of PC usage because it wants to make sure it protects privacy properly. In the case of Google, only the Gemini Nano, the smallest of Google's artificial intelligence models, can run on the company's phones and everything else is done via the cloud. Even Apple, which has been designing its own microprocessors since 2020 and thus has more control on the security front, cannot handle the full spectrum of tasks that the company promises to perform with artificial intelligence on its hardware. The architecture designed by Apple is unique. It can be thought of as an advanced encryption protocol where the voice assistant Siri will 'decide' if it needs the help of a larger AI model, for instance, it will pack a request containing the prompt it is using and send it to the most suitable LLM to respond. Only the specific AI model to be used will have the correct key.

Clearly, Apple is now the special observed. It will be up to the researchers to test and refine the system, which could in the future become a standard or be emulated in some way by competitors. For us users, one point has long been clear. No one knows us better than our smartphone and no one needs to know what we do inside our smartphone. It is a matter of trust.

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  • Luca Tremolada

    Luca TremoladaGiornalista

    Luogo: Milano via Monte Rosa 91

    Lingue parlate: Inglese, Francese

    Argomenti: Tecnologia, scienza, finanza, startup, dati

    Premi: Premio Gabriele Lanfredini sull’informazione; Premio giornalistico State Street, categoria "Innovation"; DStars 2019, categoria journalism

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