Florida's attorney general escalated his OpenAI probe to a criminal investigation this morning, issuing subpoenas for info on how the company handles user threats of harm. The move follows a review of the 2025 Florida State University shooting suspect's ChatGPT conversations, which investigators said included detailed discussions of firearms and ammunition. OpenAI has not yet responded to today's developments; the company said in early April that it would cooperate with the investigation. |
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TL;DR: Tim Cook is stepping down as Apple CEO on September 1, capping a run that turned the iPhone into the most profitable consumer product in history. Hardware chief John Ternus inherits the top job—and a tech empire that’s still figuring out its AI strategy and on a dry spell for showstopping product releases. What happened: Under Cook, who became CEO in 2011 shortly before Steve Jobs’s death, Apple's market cap grew from about $350 billion to almost $4 trillion. Now Cook’s handing the reins to Ternus (and leaving him the same advice Jobs did). Ternus has spent the last 25 years at Apple and has been head of hardware engineering since 2021, a division that has recently produced about 80% of Apple’s revenue. Cook will remain on as executive chairman of Apple’s board of directors and leaves a legacy of both triumphs and question marks. Cook’s wins: - Streamlined Apple’s supply chain and transformed it into a global manufacturing machine that made mass-scale iPhone production possible.
- Turned services like iCloud and Apple Music and TV+ subscriptions into a revenue juggernaut, pulling in nearly $100 billion in 2024.
- Carved out Apple’s stake in wearables, releasing the Apple Watch in 2015 and the AirPods in 2016. (Though it came at a heavy cost: RIP to the headphone jack.)
And the notable misses: - The Apple Car, killed in 2024 after a decade of development.
- The Vision Pro, which has sold far below Apple’s expectations.
- The big AI lag. Apple has been slower to roll out its strategy and has spent more modestly on AI, while other Big Tech firms develop frontier models and pour money into data centers.
The new CEO’s credentials: Ternus has worked on everything from the switch from Intel to Apple silicon chips to the development of the AirPods. More recently, he oversaw the launch of both the iPhone 17 lineup and the budget-friendly MacBook Neo, which has been a runaway hit. The real test: Ternus inherits the perception that while Apple has kept shipping high-quality products, it hasn’t had a revolutionary new one in years. As former Apple product marketing exec Cameron Rogers put it to the New York Times: “Has he made any hard decisions? No. Are there hard problems he’s solved in hardware? No.” We’ll see whether Apple’s hardware double-down is a misstep or a smart play for the AI race. A lot is riding on the revamped Siri, powered by Google’s Gemini, actually being useful. Apple is also reportedly developing display-free smart glasses aimed at Meta’s Ray-Ban turf. Bottom line: Last December, one analyst summed up Apple’s AI posture to CNBC as, essentially, “We’ll blow you away with what we show next year.” Ternus is now the one who has to deliver—and prove Apple can still build era-defining products for the AI generation. —WK | | |
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Smarter AI starts with better, cleaner data. And SerpApi can help fast-track you to that reliable, structured web search data. SerpApi takes publicly available search engine results and delivers them as structured data through an API. Developers use this API to power AI agents, LLM applications, market intelligence tools, SEO monitoring, and automated data pipelines. For developers, this means that SerpApi takes care of the complex infrastructure you need to retrieve search data at scale so you don’t have to build and maintain your own scrapers. You can even simulate searches from locations all over the world and get real-time results that reflect what people see in search engines. Organizations like Nvidia, Ahrefs, and Shopify already use SerpApi. Want to join them? |
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Stop sending emails at midnight If you've ever typed up a late-night reply to your coworker, hovered over send, and thought, "Is this weird?"—it is (a little). But the alternative isn't just sitting on it and hoping you remember in the morning. Gmail's Schedule Send feature isn't new, but it's one that most people overlook. Use it, and you can write whenever you want, then choose exactly when it lands. Here’s how to do it: On desktop: Compose your email as normal, then click the small dropdown arrow directly to the right of the Send button → Schedule send → pick one of Gmail's suggested times, or click Pick date & time to set your own. On mobile: Compose your email, then tap the three-dot menu (in a circle in the top-right corner) → Schedule send → choose your time. Scheduled emails live in your Scheduled folder until they send, so you can go back and edit or cancel anytime before they go out. —SM If you have a tech tip or life hack you just can’t live without, fill out this form and you may see it featured in a future edition. |
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A new retail store opened in San Francisco's Cow Hollow neighborhood earlier this month, and its manager, Luna, will never show up late, take a sick day, or eat someone else's lunch from the fridge. That's because Luna is an AI, created by startup Andon Labs (of the infamous AI vending machine experiment). Andon signed a three-year lease, handed Luna $100,000 and a credit card, and told her to figure it out. Luna posted a job listing on Indeed, conducted interviews, and brought on two human employees to physically run the store. One of them told NBC News he was initially suspicious because "there are usually a lot of AI scams there." This time, though, the AI actually did have a job to offer. As for what Luna's put on the shelves: board games, candles, artisanal chocolate, and, apparently, books about the risks of advanced AI systems. Customers can pick up a corded phone on the counter to speak directly with Luna, because nothing says "the future is now" like a corded phone hotline to speak to a manager. Andon says this is less a business and more a demonstration of what happens when you give an AI real money and real responsibility. "No one's livelihood depends on an AI's judgment alone," the company said. "For now." —SM Chaos Brewing Meter:    /5 |
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