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John and Patrick Collison on Stripe's Growth, Agent Commerce, and the Future of Software

John and Patrick Collison on Stripe's Growth, Agent Commerce, and the Future of Software

Imagine watching Stripe’s growth hit 34% in a single quarter — pretty impressive, right? John and Patrick Collison, from a16z, talk about how their company is evolving. They highlight that, as agent commerce and stablecoins emerge, high-throughput blockchains capable of millions of transactions per second might become essential. But here’s where it gets fascinating — according to Patrick Collison, the economics of software are shifting away from mass-produced, one-size-fits-all products. Instead, we’re headed toward bespoke, on-demand systems that are cooked fresh at the exact moment you need them. ((thoughtful)) This shift means software will be more personalized, more flexible — built on the fly, not in bulk. And John Collison points out that Stripe’s growth isn’t just about scaling numbers, but about rethinking how we build and deliver software itself. So, the future? It’s all about high-speed, high-flexibility systems that adapt instantly to what users want. That subtle shift is exactly the kind of signal that usually defines the next big cycle.

Command and Control - All Things Product Podcast with Teresa Torres & Petra Wille

Command and Control - All Things Product Podcast with Teresa Torres & Petra Wille

Here's something that might surprise you — command and control leadership actually doesn’t scale in complex environments. As Teresa Torres points out, during uncertainty, many companies revert to tight control because it feels faster and safer. But the truth is, no single leader can hold all the context needed for every decision, especially as organizations grow. Torres and Petra Wille emphasize that strong leadership isn’t about dictating from the top; it’s about setting clear direction, establishing guardrails, and trusting teams to act autonomously. Imagine a ‘flotilla of kayaks’ — independent but aligned — best captures this idea. Even in hierarchical organizations, trust and informal autonomy often allow teams to succeed without heavy-handed control. According to Torres, leadership should be fluid, adapting based on the situation, team, and problem at hand. The key takeaway? Empower your teams to decide who should make what decision — then give them the space to do it. Trust and clarity, not control, drive high performance.

Libraries and Language Culture When AI Writes the Code

Libraries and Language Culture When AI Writes the Code

Here's something that might surprise you: when AI starts writing code, it’s not just about automation. Byrne Hobart points out that libraries — those collections of code — are essentially shaping the language and culture of this new AI-driven world. Instead of being passive repositories, these libraries now influence how AI learns and communicates, almost like they’re creating a new dialect. Hobart emphasizes that in this shift, the real power lies in how quickly teams can adapt and update their libraries — faster learning loops beat bigger budgets every time. So, when AI writes code, it’s not just about efficiency; it’s about rewriting the rules of collaboration and innovation. And get this — according to Hobart, understanding and shaping these code libraries could be the key to gaining a real advantage in the AI era. The takeaway? In a world where AI codes the future, the culture embedded in libraries might just be your secret weapon.

Neanderthal brains measure up to ours—literally

Neanderthal brains measure up to ours—literally

Imagine standing in front of a Neanderthal skull — its shape’s obvious, but recent research by Kiona N. Smith in Technology shifts what we thought about their brains. Turns out, their brains were pretty much the same size as ours, nestled inside those ancient skulls. A new study compared MRI scans of modern brains with casts of Neanderthal endocasts, revealing that brain size varies more among us than between us and Neanderthals. So, despite differences in skull shape, Neanderthals probably had cognitive abilities close to ours — challenging the idea that they were fundamentally less intelligent. As Smith notes, brain size isn’t a good predictor of smarts anyway. This means our ancestors and Neanderthals might have been more alike than we ever realized, and that we didn’t out-compete them solely because we were smarter. That subtle shift in understanding could rewrite how we see human evolution — more about adaptability than raw brainpower, and that’s the signal to watch for next.

Start with the sensors, then design the rest: How Zoox built its robotaxi

Start with the sensors, then design the rest: How Zoox built its robotaxi

Here's something that might surprise you — Zoox built its robotaxi around the sensors first, then designed everything else around them. According to Jonathan M. Gitlin from Ars Technica, this approach is a game-changer because it flips the traditional car design process. Instead of retrofitting sensors into existing cars, Zoox started with a blank slate — creating a vehicle that’s optimized for sensing and automation from the ground up. Chris Stoffel, Zoox’s director of robot industrial design, explains that a robotaxi isn’t just a regular car. It has different needs, and the design reflects that — no steering wheel, no pedals, just a sleek, sci-fi look. What Gitlin highlights is that this sensor-first mindset allows Zoox to engineer vehicles that are safer, more efficient, and better suited for autonomous operation. So, if this trend continues, the future might belong to companies that prioritize designing for technology first — redefining what a car really is.

A billion miles in less than a decade: GM's Super Cruise reaches a milestone

A billion miles in less than a decade: GM's Super Cruise reaches a milestone

Here’s something that caught my attention — GM’s Super Cruise has now logged over a billion miles since its debut in 2017. That’s a huge milestone, and it’s not just about the miles — it’s about the trust building behind the scenes. According to Jonathan M. Gitlin from Ars Technica, GM’s approach has been responsible and cautious, geofencing the system to well-mapped highways and adding driver monitoring to keep eyes on the road. What’s fascinating is that nearly 750,000 vehicles in the US and Canada are using Super Cruise, and the renewal rate is close to 40 percent, which Gitlin points out shows users are genuinely committed — it's like a toothbrush, they keep coming back. GM’s vice president of autonomous vehicles, Rashed Haq, emphasizes that once drivers try it, they rarely go back. So, the big takeaway? Trust and responsible tech development are driving real, measurable progress in autonomous driving — it's not just hype anymore.

The great American data center divide

The great American data center divide

Here's something that might surprise you — rural communities in America are actively resisting the rush of data center construction. In Tazewell County, Illinois, farmers like Michael Deppert are fighting to protect their water supplies from being drained or contaminated by nearby data centers, which they fear could harm crops and drinking water. According to Susannah Savage and her colleagues at the FT, locals aren’t just worried about water — they’re concerned about losing their sense of place and control. As Rafe Rosner-Uddin reports, this resistance isn’t just about a few loud voices; it’s a broader pushback against the environmental and social impacts of this booming industry. What’s fascinating is how these communities are leveraging local politics and grassroots campaigns to block projects — sometimes successfully. So, here’s the thing — if rural resistance keeps growing, it might slow down or reshape the future of data center expansion. And that could mean a big shift for how big tech plans its infrastructure in the coming years.

Electrical current might be the key to a better cup of coffee

Electrical current might be the key to a better cup of coffee

Ever wonder if there’s a smarter way to brew coffee? Well, according to Jennifer Ouellette writing in Technology, University of Oregon chemist Christopher Hendon is onto something revolutionary. He’s experimenting with passing a tiny electrical current through coffee to measure its flavor profile in real time. It’s like giving your brew a health check before you even sip — no more guesswork. Hendon’s previous work helped create a mathematical model that predicts how much coffee flavor you’ll get based on how coffee grounds dissolve into water, which is super tricky to control consistently. Now, by sending electrical signals, he's tapping into the same physics used in batteries — tracking how ions move — to gauge extraction yield, or how much of the coffee actually makes it into your cup. This could mean baristas and home brewers alike will soon have a simple way to perfect every cup without relying on trial and error. So, the big question is: how soon will this tech change the way you brew and enjoy coffee every morning?

An Interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman About Bedrock Managed Agents

An Interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman About Bedrock Managed Agents

At 8:07 on a Monday, one decision changed everything — OpenAI and AWS just rewrote the rules for AI in the cloud. Ben Thompson notes that the new deal between Microsoft and OpenAI, allowing OpenAI to serve products on AWS and other clouds, signals a major shift. It’s no longer about Azure holding a tight leash; OpenAI’s focus is clearly on AWS now, which means more flexibility and broader access for everyone. Thompson highlights that Azure’s exclusivity was actually holding back OpenAI’s growth — Microsoft’s investment needed a rethink, especially with competitors like Anthropic gaining ground. But here’s the thing — this isn’t just about cloud wars. It’s about making AI tools more accessible, faster, and easier for organizations already in AWS. As Thompson points out, OpenAI’s Bedrock Managed Agents aim to simplify deploying AI across large companies — think of it like Codex, but across entire organizations. That shift is subtle now, but it’s exactly the kind of signal that usually kicks off the next big cycle.

GitHub will start charging Copilot users based on their actual AI usage

GitHub will start charging Copilot users based on their actual AI usage

Here's something that might surprise you — GitHub is switching to a usage-based billing model for Copilot starting June 1. Instead of paying a flat fee, users will be charged based on how much they actually use the AI. Kyle Orland from Tech in 2024 points out that right now, a quick question or a long autonomous coding session costs the same, which isn’t sustainable as demand skyrockets. GitHub has been absorbing some of those costs, but according to Orland, that’s no longer feasible. So what does this mean? Well, for developers, it’s a shift toward paying only for what they use — no more lump sums. But it also raises questions about how predictable costs will be for teams relying heavily on AI. And get this — this isn’t just a minor tweak. As Orland highlights, it’s a major move toward aligning pricing with actual resource consumption, especially as AI workloads grow more complex. If this pattern holds, the future will favor those who optimize for efficiency, not just raw usage.

Drone pilot makes US rescind no-fly zones around unmarked, moving ICE vehicles

Drone pilot makes US rescind no-fly zones around unmarked, moving ICE vehicles

Imagine you're flying your drone over the city when suddenly, you're told to stay clear — because the government just expanded no-fly zones to include not just aircraft, but moving ground vehicles too. And get this — these zones now cover unmarked ICE vehicles in motion, even if they’re just plain cars without any signs. That’s what happened after federal agents shot and killed Renee Good in Minneapolis, sparking protests. According to Jeremy Hsu writing in Ars Technica, in January 2026, the Department of Homeland Security quickly broadened no-fly zones as a way to tighten security around federal facilities. But here’s the twist — this time, they went after the ground, extending restrictions to DHS vehicles moving through the city, even if they’re unmarked or route unknown. So, a drone pilot decided enough was enough. By challenging the order, he fought back against this sweeping ban and, remarkably, won. It’s a clear sign that even in heavy security times, individual resistance can shift the rules — and that’s a trend to watch.

FCC orders review of ABC licenses after Kimmel joke offends Trump and first lady

FCC orders review of ABC licenses after Kimmel joke offends Trump and first lady

Have you ever seen the FCC step into a media controversy with a license review? Well, that's exactly what’s happening now. The FCC has ordered ABC to file early license renewal applications — no, not because of technical issues, but because of a joke Jimmy Kimmel made about Melania Trump. According to Jon Brodkin reporting for Ars Technica, this move is highly unusual; the FCC's license renewal process is notoriously tough to tamper with, usually set for 2028. But here’s where it gets interesting — Brodkin explains that the FCC claims this step allows them to investigate whether ABC is meeting its public interest obligations, especially after the political fallout. Now, the question is — will this lead to stricter oversight over broadcasters for speech that offends powerful figures? As Brodkin notes, this isn’t just about one joke. It’s a test case for how far the FCC can — or will — go to regulate content amid political pressure. So, the real question isn’t just about ABC’s license — it's about the limits of free speech and government oversight in media.