Apple: Tim Cook's tenure at the tech giant has been fruitful

9/8/22 8:00PM

Apple's latest iPhone reveal — complete with a full roster of supporting acts — took place on Wednesday**.** Millions tuned in to see the iPhone 14 and a refresh of Apple's most-popular wearables, including new AirPod Pro's and a more resilient Apple Watch.

‍If it ain't broke...

‍Critics will complain that, even with some cool design updates, the iPhone 14 is more of an evolution than a revolution on the product side. That's a fair critique — and one that's been levelled at Apple many times since Tim Cook took over as CEO from Steve Jobs in 2011. The strongest rebuttal to that criticism is seen in the chart above: during Cook's tenure sales have more than tripled and the company's share price is up more than tenfold.

While the product line-up may not have changed dramatically, Apple's Services division is undergoing a revolution. Services include the App Store, Apple Music, Apple Pay, Apple TV and a new area of intense focus — advertising. Just 18 months since Apple made major changes to its privacy policy, which made it harder for digital ad platforms like Facebook to target ads at users, they're now beefing up their own advertising effort. The company is reportedly looking to double its advertising workforce, suggesting that even Apple can't resist the high margin temptation of selling advertising space on its most valuable properties.

The one surprise from the announcement was that iPhone prices won't be going up in the US or Canada, bucking the inflationary trend seen in so many other industries. The company, it seems, is comfortable sacrificing some margin on the iPhone in order to keep the device at the center of the Apple ecosystem.

The next big product innovation from Apple? You may have to wait until the Apple Car.

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Let Tim Cook

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Apple is on its way to becoming the biggest smartphone seller in China

The memory crunch has made iPhones a more popular alternative as competitors’ prices rise.

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Microsoft loses exclusive access to OpenAI’s models and tools while ending revenue-sharing deal with ChatGPT maker

Microsoft shares dropped as it announced a revised agreement with OpenAI.

The amended agreement ends revenue-sharing payments from Microsoft to OpenAI, and also ends Microsoft’s exclusive access to OpenAI’s intellectual property (i.e. models and products).

OpenAI’s revenue sharing with Microsoft will end in 2030, is subject to a total cap, and is no longer dependent on its achieving artificial general intelligence.

Amazon, a likely beneficiary of this lack of exclusivity, initially popped on the news but erased those gains.

This is a developing story.

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China just blew up one of Meta’s key AI bets

China has ordered Meta to unwind its $2 billion acquisition of Manus, a Chinese startup (since relocated to Singapore) that makes AI agents and was central to Meta’s push to turn its massive AI investments into a real business. The move is part of the Chinese government’s effort to stop US firms from gaining access to Chinese talent and intellectual property, as Washington continues to restrict sales of advanced AI chips to Chinese companies.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

China blocks Meta's $2 billion acquisition of AI startup Manus

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DeepSeek releases new V4 series models highlighting efficiency and long context

Chinese AI lab DeepSeek has released a major new version of its eponymous open-source AI models that are nipping at the heels of leading frontier models in some areas.

The most significant DeepSeek-V4 Pro and DeepSeek-V4 Flash both have a 1 million-token context — the amount of information the model can actively work with in a single session — which is a crucial feature for complex, long-running coding tasks.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

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