the most advanced generalist AI models often outperform specialized models, even in the specific domains those specialized models were designed for. That means that if you want a model that can do a lot - reason over massive amounts of text, help you generate ideas, write in a non-robotic way — you want to use one of the three frontier models: GPT-4o, Gemini 1.5, or Claude 3 Opus.

Working with advanced models is more like working with a human being, a smart one that makes mistakes and has weird moods sometimes. Frontier models are more likely to do extraordinary things but are also more frustrating and often unnerving to use. Contrast this with Apple’s narrow focus on making AI get stuff done for you.

Every major AI company argues the technology will evolve further and has teased mysterious future additions to their systems. In contrast, what we are seeing from Apple is a clear and practical vision of how AI can help most users, without a lot of effort, today. In doing so, they are hiding much of the power, and quirks, of LLMs from their users. Having companies take many approaches to AI is likely to lead to faster adoption in the long term. And, as companies experiment, we will learn more about which sets of models are correct.

For Google Search to increase its profits, it must shift value from web publishers, advertisers and/or users to itself. The only way for Google Search to grow is to make itself worse.

Google’s product managers are each charged with finding ways to increase the profitability of their little corner of the googleverse. That increased profitability can only come from enshittification. Every product manager on Google Search spends their workdays figuring out how to remove a Jenga block. What’s worse, these princelings compete with one another. Their individual progression through the upper echelons of Google’s aristocracy depends as much on others failing as it does on their success. The org chart only has so many VP, SVP and EVP boxes on it, and each layer is much smaller than the previous one. If you’re a VP, every one of your colleagues who makes it to SVP takes a spot that you can no longer get. Those spots are wildly lucrative. Each tier of the hierarchy is worth an order of magnitude more than the tier beneath it. The stakes are so high that they are barely comprehensible. That means that every one of these Jenga-block-pulling execs is playing blind: they don’t — and can’t — coordinate on the ways they’re planning to lower quality in order to improve profits. The exec who decided to save money by reducing the stringency of phone number checking for business accounts didn’t announce this in a company-wide memo. When you’re eating your seed-corn, it’s imperative that you do so behind closed doors, and tell no one what you’ve done. Like any sleight-of-hand artist, you want the audience to see the outcome of the trick (the cost savings), not how it’s done (exposing every searcher in the world to fraud risk to save a buck).

Google/Apple’s mobile duopoly is more cozy than competitive. Google pays Apple $15–20 billion, every single year, to be the default search in Safari and iOS. If Google and Apple were competing over mobile, you’d expect that one of them would drop the sky-high 30 percent rake they charge on in-app payments, but that would mess up their mutual good thing. Instead, these “competitors” charge exactly the same price for a service with minimal operating costs.

your bank, your insurer, your beer company, the companies that make your eyeglasses and your athletic shoes — they’ve all run out of lands to conquer, but instead of weeping, they’re taking it out on you, with worse products that cost more.