🍎 Is AI Ready for Apple?

The Street

🐢 Apple Plays The Tortoise, Not The Hare

Is It Apple, or Is It AI?

WWDC, Apple’s yearly developer conference, was low on AI flash compared to previous years and a quiet research paper might explain why.

For the past two years, Apple has promised big things in AI, from the Vision Pro headset to a major Siri overhaul. But the headset has struggled for relevance, and a smarter Siri has been MIA. In fact, Apple’s barely mentioned it in recent marketing. A speaker at WWDC put it plainly:

🧠 The Thinking Machines That Gave Up

While Apple was playing it safe on stage, its AI research team dropped a paper that could reshape how we think about current Generative AI. In a detailed study, they found that advanced Large Reasoning Models (LRMs), including ones from Apple, OpenAI, Google, and Anthropic, suffer a “complete accuracy collapse” when faced with high-complexity problems.

Even more unsettling: the models begin to reduce their reasoning effort as tasks get harder. This means they don’t just fail; they give up.

AI critic and academic Gary Marcus called the findings “pretty devastating,” and warned:

It casts doubt not just on Apple’s progress, but on the industry’s broader assumption that scaling up language models will eventually lead us to artificial general intelligence (AGI).

So the real question isn’t: “Can Apple execute on AI?”

It’s: “Is AI even ready for what Apple’s trying to build?”

Yes, Apple has stumbled and it’s no longer setting the pace in AI. This year’s WWDC is making that clear, lacking the energy and ambition that once defined the event. But perhaps Apple sees something deeper and its AI struggles are a reflection, not an outlier.

💡How To AI: Let the Bots Build Your Deck

Presentations are one of the best ways to share ideas and pitch your work, but let’s be honest: building the deck often takes more time than doing the actual work. You get stuck choosing fonts, aligning boxes, and rewriting titles until the slides become more of a distraction than a communication tool.

And for the most part, we’re all still using tools (looking at you, PowerPoint) whose core functions haven’t really changed since the ’80s.

If slides slow you down, Gamma is the best AI tool for you. It’s an AI-powered presentation tool built on Claude that allows you to prompt your way to a deck that looks great and communicates clearly.

What it does:

• 🪄 Turns prompts into full decks

• 🎨 Applies modern, professional themes

• ⚡ Helps you go from ideas to slides in minutes

• 📤 Lets you export and share as a webpage, PDF, or PowerPoint

There’s a generous free version (bless them) or a paid one, because even AI needs a business model. But if you’ve ever lost an afternoon trying to format a table that refuses to behave, the upgrade pays for itself in sanity.

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Heard in the Server Room

New MIT Tech Keeps Drones Locked On Target

MIT just gave autonomous drones a serious upgrade. Their new AI-powered control system helps drones stay on course in wild, gusty winds, perfect for jobs like wildfire relief or delivering packages during a storm. Instead of relying on pre-programmed assumptions, the system uses meta-learning to figure out both how to model wind patterns and which optimization algorithm works best, all on the fly. All that combines for up to 50% less tracking error than traditional methods, even when the wind gets rowdy. It’s like giving your drone a built-in flight instructor that learns as it flies.

Amazon Goes Nuclear With $20B Data Center Investment

Amazon just dropped a cool $20 billion on two new AI-powered data center campuses in Pennsylvania, one of which is cozied up next to a nuclear power plant. The real goal is to use carbon-free nuclear energy from Talen Energy’s Susquehanna station to fuel its growing AI empire, sidestepping the usual grid headaches. It’s one of the biggest nuclear-backed private energy plays in U.S. history and could mark a comeback for nuclear as the quiet hero of the data economy.

OpenAI Hits $10B In Recurring Revenue

OpenAI just hit $10 billion in annual recurring revenue less than three years after unleashing ChatGPT on the world. That number doesn’t even include its Microsoft licensing deal, only what it’s pulling in from consumers, businesses, and its API. Despite losing $5 billion in 2024, the company holds a $40 billion valuation and appears to be on track for its lofty 2029 revenue goal of $125 billion.

Starting This Fall, Every Ohio State Student Will Use AI

Every student at Ohio State will start learning how to use AI in class this fall. Through its new AI Fluency Initiative, the university aims to make students fluent in both their major and AI by the time they graduate, starting with the Class of 2029.

Expect new general ed courses, first-year seminars, and assignments using tools like ChatGPT, not just for shortcuts, but for reflection, revision, and critical thinking.

The Reason for the Shift

• AI is mainstream. 26% of teens used ChatGPT for school in 2024, up from 13% in 2023.

• It’s not a free pass. Students will be required to show how they used AI and how they improved upon it.

• Professors are on board. Ethics, creativity, and even AI-generated lesson plans are being explored with AI in the classroom.

OSU is betting big on AI fluency. The goal? Make sure students graduate with more than a diploma, they leave with digital fluency for the real world.