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Tyler Cowen & Alex Tabarrok on AI, Jobs, and Economic Growth

Tyler Cowen & Alex Tabarrok on AI, Jobs, and Economic Growth

Ever wonder if AI’s biggest impact is job loss or something else? Well, according to Wyatt Thomson, Tyler Cowen, and Alex Tabarrok, it’s actually about long-term economic growth. They explain that history shows new tech often disrupts jobs but then sparks innovation — think industries we never imagined. Instead of fearing AI’s automation, Cowen and Tabarrok argue that productivity boosts can lead to more abundance and better standards of living. They point out that skills like education, healthcare, and energy are going to become even more valuable in this new era. The key isn’t just about jobs vanishing but how societies adapt to rapid change — who owns AI, how we distribute wealth, and what new opportunities emerge. Content+a16zpodcast@a16z.com highlights that this is a long game. So, the real question isn't whether AI will reshape everything — it's who will get ahead by embracing the shifts first.

Learning Together - All Things Product Podcast with Teresa Torres & Petra Wille

Learning Together - All Things Product Podcast with Teresa Torres & Petra Wille

Here's the thing — most organizations default to training everyone at once or letting folks learn solo, but that’s not the real magic. According to Teresa Torres, the sweet spot is small-group learning. Why? Because it creates peer accountability, keeps things relevant, and helps people actually apply new skills to their work. Petra Wille adds that these small groups foster trust and vulnerability, making coaching sessions more honest and productive. And get this — group coaching isn’t just a side gig; it’s a way for leaders who rarely collaborate to build real connections. So, what’s the takeaway? Start a book club, form pilot teams before going company-wide, or encourage pairs to learn together. The goal isn’t just learning — it's creating momentum that sticks. As Teresa highlights, choosing the right format for your actual goal makes all the difference. The key is intentional, small-group learning that sticks — because that’s how real change happens.

The Median App and the Median User-Minute

The Median App and the Median User-Minute

Here's something that might surprise you: the median app’s user-minute actually reveals more about a platform’s health than total downloads. Byrne Hobart points out that a small group of highly active users keeps a lot of apps afloat, which means engagement per user is a stronger signal than raw numbers. So, an app with fewer users but longer, more frequent sessions could be more valuable than one with tons of casual downloads. This shifts how we should think about growth — it's not just about getting more eyeballs, but about increasing the depth of those interactions. Hobart emphasizes that this focus on user-minute data helps investors and product teams spot the true winners early, especially in a crowded market. And get this — this insight applies across industries, from social media to finance. The big takeaway? If you want sustainable advantage, look at how deeply your users are engaged, not just how many there are. Because in the end, the median user-minute might be the best long-term indicator of success.

The iPhone’s Last Stand

The iPhone’s Last Stand

Here’s the surprising part — Apple’s iPhone might be reaching the end of its dominance in the AI era. Ben Thompson points out that while Microsoft’s new Project Solara envisions a network of devices acting as portals to cloud-based AI, Apple is doubling down on making Siri smarter right on your phone. That’s a big shift: instead of relying on distant servers, Apple’s rebuilding Siri with a 20-billion-parameter model on-device, leveraging Nvidia chips in Google data centers. The key? The iPhone remains the hub. As Thompson notes, Apple’s focus on personal privacy and seamless integration means they’re not trying to beat everyone at creating the most impressive AI — because their real strength is in staying trusted and useful for consumers who just want to watch videos or ask simple questions. So what does this mean? The future isn’t about the device itself, but about the ecosystem that surrounds it — where the iPhone stays central, and AI becomes invisible but incredibly powerful.

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First Drive: The 2027 Rivian R2 entirely changes the EV game

First Drive: The 2027 Rivian R2 entirely changes the EV game

Here's something that might surprise you — Rivian’s new R2 is set to shake up the electric vehicle world, and it’s not just about fancy tech. According to Michael Teo Van Runkle writing in Technology, this compact SUV seamlessly matches the size of today's best-selling cars, like the Honda CR-V, but packs Rivian’s adventurous spirit. What’s wild is how Rivian is scaling from niche to mainstream, cutting costs while keeping the rugged appeal that defines their brand. During a recent Utah event, Ars was treated to a first drive of the Launch Edition — priced at just under $60,000 — showing off both on and off-road capabilities. As Van Runkle highlights, Rivian’s clever design solutions mean this model isn’t just smaller — it’s smarter, more efficient, and more accessible than ever before. And here’s the thing — if Rivian pulls this off, the next few years could see a real shift toward practical, adventure-ready EVs that don’t break the bank. The game is changing, and the R2 might just be leading the charge.

Apple says its AI is still private, even when it's running on Google's servers

Apple says its AI is still private, even when it's running on Google's servers

Here's something that might surprise you — Apple claims its AI remains private, even when running on Google’s servers. According to Andrew Cunningham writing in TechCrunch, Apple’s big line is that user privacy isn’t compromised, whether AI models are on-device or on third-party servers like Google’s. Now, here’s where it gets interesting: Apple’s AI models need more power than their hardware can handle locally, so they’re leveraging Google’s cloud infrastructure, including Nvidia hardware in Google’s data centers. But Apple insists that its privacy promises hold firm — encryption keeps data safe, and user info isn’t accessible to Apple or Google. As Cunningham points out, Apple’s traditional focus on on-device processing and encryption is tough to scale for large language models, which means they’re balancing privacy with performance by using external servers. So what does this actually mean for you? Apple’s saying, ‘Yes, we’re working with Google now, but your privacy stays intact.’ The key takeaway — privacy isn’t just about where the data lives; it’s about how well it’s protected, no matter where the AI runs.

Here's Audi's next Q7 SUV and US-only SQ7, now with an RS V8

Here's Audi's next Q7 SUV and US-only SQ7, now with an RS V8

Here's something that caught my attention — Audi is really doubling down on its SUV lineup, and the new Q7 is no exception. According to Jonathan M. Gitlin from Ars Technica, the upcoming model for 2027 will feature a twin-turbo 2.9L V6 pushing 429 horsepower, while the US-only SQ7 will take things up a notch with a wild 591-horsepower RS V8. And get this — these are the fastest Q7s Audi has ever built, with quicker acceleration and better handling, thanks to new suspension options. The SQ7 even offers a mode that drops the car by over an inch for sharper cornering. Now, here's where it gets interesting — there’s no hybrid version in sight, which suggests Audi’s focusing on pure power rather than electrification for this one. As Gitlin notes, this move signals that luxury SUVs are moving toward high-performance, in-your-face engines rather than just being family haulers. So, the big takeaway? Audi’s new Q7 lineup is all about speed, power, and pushing the limits of what an SUV can do — no hybrid needed.

Gold isn’t inert, it just has bodyguards protecting it

Gold isn’t inert, it just has bodyguards protecting it

Here's something that'll surprise you — gold isn’t actually inert. It’s just that the surface of bulk gold is protected by a kind of 'bodyguard' that keeps it from reacting. According to Chris Lee at Ars Technica, most metals like silver or copper readily tarnish because their surfaces oxidize. But gold? It usually stays shiny because its surface doesn’t easily form those weak oxides. That’s been the explanation for years. But get this — when gold is broken down into nanoparticles, it suddenly becomes a catalyst. Researchers now say that the inertness isn’t about the gold atom itself, but about its surface structure. These tiny particles expose different surface states, which act like open invitations for chemical reactions. So what does this mean? It’s a game changer for catalysis and materials science. If this pattern holds, the future of gold-based technologies might hinge on how we manipulate that surface — turning what once seemed inert into something incredibly reactive. The implications for industry are pretty exciting, according to Chris Lee.

High-severity vulnerability in Linux caused by a single errant character

High-severity vulnerability in Linux caused by a single errant character

Imagine being able to take control of a Linux system with just one character gone wrong. That’s essentially what happened here. Researchers uncovered a high-severity vulnerability — tracked as CVE-2026-23111 — in Linux’s nf_tables, the system that handles firewall rules today. According to Dan Goodin writing in Ars Technica, all it took was a single misplaced exclamation point in the code, and suddenly, a regular user could escalate their privileges to root. This isn’t your typical bug — it's a use-after-free error, which means memory gets corrupted because the system tries to reuse memory that’s already been freed. So what does this actually mean? Well, it’s a reminder that even tiny typos can have massive consequences — especially in core components like the kernel. And get this — an attacker doesn’t even need special privileges to exploit it. As Dan Goodin points out, this kind of flaw underscores just how careful developers need to be, because one errant character can open the floodgates to full system control. That shift might seem small, but it’s exactly the kind of signal that defines the next security cycle.

Drone boat picked up downed US Army helicopter pilots—a first for sea rescues

Drone boat picked up downed US Army helicopter pilots—a first for sea rescues

Ever wonder if drones could do more than just surveillance or delivery? Well, now they’re actually rescuing people at sea. Jeremy Hsu reports that for the first time ever, a drone boat picked up two US Army pilots after their helicopter went down near the Strait of Hormuz. Imagine that — an uncrewed surface vessel navigating treacherous waters to save lives. According to Jeremy, this wasn’t just a stunt; it’s part of a bigger shift where unmanned systems are becoming integral to military rescue ops, especially with the US Navy’s Task Force 59 pushing AI-powered maritime tech. The rescue, confirmed by US Central Command, highlights a major leap: machines now aren’t just supporting missions — they’re actively saving lives. And get this — anonymous military sources told CBS that the drone performed the rescue, marking a historic milestone. So, what does this mean for the future? Are we looking at a new era where drones and AI become standard in life-or-death situations at sea?

One day after discovery, Meta pulls facial recognition code from its smart glasses

One day after discovery, Meta pulls facial recognition code from its smart glasses

Here's something that caught my attention — Meta pulled its facial recognition code from its smart glasses just one day after WIRED revealed it was embedded in an app used by over 50 million phones. According to Dhruv Mehrotra and Dell Cameron from wired.com, the company quickly scrubbed the code, including libraries named for face recognition, in a new app update. Andy Stone, Meta’s VP of communications, told WIRED that the feature was “purely exploratory,” and no final decision has been made. So what does this actually mean? It’s a clear sign that Meta is hesitant about rushing into facial recognition, especially after the recent privacy backlash. But here's where it gets interesting — this rapid removal hints at internal uncertainty or possible regulatory pressure. It’s almost like Meta is testing the waters, then pulling back when things get too hot. The real question is: will they fully abandon facial recognition, or are they just biding time before a comeback? Either way, it shows just how quickly privacy concerns can shift corporate strategies.

Screwworms in US: Human risk is low—but they can burrow through your skull

Screwworms in US: Human risk is low—but they can burrow through your skull

Imagine a flesh-eating fly that can burrow through your skull — sounds like a horror movie, right? But Beth Mole from Technology reports that, surprisingly, the risk to humans in the US remains low. Still, these screwworms are making a creepy comeback, with recent cases in Texas and New Mexico involving livestock and a dog that likely traveled from Mexico. According to Beth, the real concern has always been about cattle — these larvae can quickly devastate herds, costing Texas farmers hundreds of millions. But here’s where it gets unsettling: while humans aren’t common targets, Beth points out that the flies *can* burrow through skin or even skulls if given the chance. That’s not just a nightmare scenario — it’s technically possible, though rare. So, what does this mean for us? Vigilance is key, especially in border areas, because if the screwworms establish themselves more widely, it could shift from a livestock problem to a genuine human health concern. Beth’s reporting reminds us that even unlikely threats deserve our attention ((thoughtful)).