⚙️ Apple is finally bringing AI to iPhone. Here’s what it’ll look like 

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Good morning. It’s happening. Apple is bringing AI to iPhone. We break it all down for you below. 

In today’s edition: 

AI for Good: Aurora, Microsoft’s advanced weather prediction model 

Andrew Charlton-Perez, a professor of meteorology at the University of Reading, said in April that AI and machine learning are “transforming weather forecasting before our eyes.” 

Charlton-Perez led a study of the deadly Storm Ciarán that ravaged Europe last year; he found that the AI models tested were able to largely accurately predict the path of the storm up to 48 hours in advance. 

Microsoft’s Aurora: Microsoft’s AI for Science lab recently developed a new model — called Aurora — that was designed to overcome this specific challenge.

Why it matters: One, this foundation model can enable a lot of different applications through fine-tuning, at a far less significant cost. 

And two, disaster preparedness impacts every industry and every person. The more we understand the specific destructive abilities of a given storm system, the better we can adapt, the better we can prepare and the more lives we can save. In the midst of our warming climate — which makes weather less predictable — this has never been so important. 

GenAI seed funding drops 76%

We’ve talked plenty about the idea that generative AI is growing in a hype-fueled bubble similar to the dot-com bubble of the late ‘90s. 

This understanding is beginning to infect even the venture capital arena, which has been instrumental in hyping the boom AI. 

Key points: Pitchbook found that in the first quarter of 2024, U.S. VC deal value for pre-seed and seed-stage deals (for genAI) fell 76% from last year’s peak to $122.9 million. 

Why it matters: Richard Dulude, co-founder of Underscore VC, told Pitchbook that the fundamental question is now around profitability. 

“I think in a lot of cases, people are going to be very disappointed,” he said. 

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Study: Young employees aren’t a (good) source of information about AI 

For years, senior employees in the workplace turned to their more junior counterparts for tutorials on new technology, according to a new study out of Harvard Business School. But the study found that when it comes to AI, this expectation of technological expertise shouldn’t really apply. 

Key points: The study is based on interviews with 78 junior consultants, who were interviewed following a field experiment with genAI. 

The big gap here revolves around the juniors’ “novice” recommendations for AI risk mitigation, which are “grounded in a lack of deep understanding of the emerging technology’s capabilities.”

Why it matters: As more businesses move to adopt generative AI, there are a number of risks to consider. This is another one, suggesting that companies (from management to older employees) should not rely on the “expertise” of younger employees, as they probably don’t have any. 

“Juniors may recommend novice AI risk mitigation tactics because juniors themselves may not be technical experts, and because when technology is nascent and exponentially changing, juniors may have had no formal training on how to use the technology,” the study reads.

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Apple is finally bringing AI to iPhone. Here’s what it’ll look like 

For the past year-and-a-half, Apple has been the one mega-cap tech giant not obviously competing in the AI race that has so violently consumed its peers.

But on Monday, Cupertino finally said “AI,” and as The Information’s Jessica Lessin pointed out, differed immediately from just about everyone else by offering AI as a set of features, rather than a product in and of itself. 

Apple Intelligence, AI coming to IOS, iPadOS & MacOS Sequoia this fall: 

The unanswered questions: 

The way that Siri will be able to understand personal user information seems somewhat similar to Microsoft Recall, which recently came under fire for a litany of severe security concerns. 

I asked Apple (and did not hear back) how this integration is technically being achieved — either through parsed screenshots or a sharing of user information with its AI models.

And Axios reported that all the on-device AI models are proprietary; Apple’s LLM was partially built using public data from the web in addition to licensed content, though Apple provided no further details.

My View: First, I think many of these integrations (voice memo transcription, calling recording) just made the AI startup space that much more challenging.

And while many of the features here feel more usable than other AI products, IOS 18 could well underline the inescapability of genAI. And I’m not sure if everyone’s on board with that. 

I’ll follow up on this if and when Apple responds to my request for comment. 

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-Ian Krietzberg, Editor-in-Chief, The Deep View