513 posts
The most unsettling automation story may have no layoffs, no protest, and no obvious date to point to. By the time the damage shows up in the headlines, the missing opportunities may already be years old.
We analysed 13,313 recent app reviews and tested five AI music video apps on a phone. Weekly plans and credits dominate both the pricing and the complaints. The numbers, and how to avoid paying for more than one video.
A once-quiet European buyer is assembling a portfolio of familiar tech brands—and betting that their users won’t leave. The strategy can revive neglected products, but its biggest wins may come at a cost to the people who built them.
The fight over AI isn’t just about what the technology can do—it’s about who gets to set the risks for everyone else. Discover what critics heard—and why Silicon Valley’s trust gap still runs deeper.
The machines may soon make far more than people can buy through wages alone. The real test is whether communities will accept a future whose gains they don’t share.
A crowded app store looks like a warning until you notice what all those competitors prove. Max Hirsch’s fast climb also exposes the harder question: can a solo founder win attention after building the product?
A wet formation lap became an unexpected live-fire test of software shared across the grid. The most unsettling twist wasn’t just that the system failed—it was how quickly the fix had to reach every team.
Big-name creators can make an app look like it’s taking off while quietly draining the cash that keeps it alive. One founder’s early marketing gamble reveals why distribution without a proven playbook can cost more than it earns.
A viral agent demo makes software creation look almost effortless. But its secret advantage exposes a trap that could turn developers into little more than messengers.
A job can vanish in a day, but rent and car payments keep arriving on schedule. The overlooked risk in the AI debate is not just lost paychecks—it’s who owns the machines that replace them.
A viral Adobe-style suite looks far less impressive once designers try real projects. But a separate experiment rebuilding a classic game hints at a more consequential shift beneath the hype.
The flood of machine-made art could make it harder—not easier—for original work to stand out. Matthew Berman’s game-design thought experiment reveals the creative bottleneck hiding in plain sight.
A viral Adobe-inspired suite and a GitHub reverse-engineering agent have turned software imitation into a mainstream conversation. The twist: a working-looking clone can still be miles from a professional replacement—and copying carries real risks.
Behind Anthropic’s unusual meetings with religious thinkers is a debate that could reshape how AI companies think about their models. The uncomfortable twist: taking machine consciousness seriously may create obligations that no chatbot company is prepared to meet.
The founder playbook usually treats availability as proof of ambition—and exhaustion as the entry fee. Milly Tamati’s island routine raises a sharper question: what if the real growth advantage is designing a business that can wait?
A cyberattack on essential services could turn a technical failure into a public and political reckoning overnight. The surprising question is not just how labs prepare, but who gets to shape the rules that follow.
A game character can now jump between worlds, and familiar software interfaces are being rebuilt without access to their source code. The bigger surprise is what this could mean for the companies that have spent decades selling software.
The hardest part of selling software may not be the software at all. A tiny change in how prospects saw it turned confusion into credibility—and opened doors the founders couldn’t network their way through.
A hammer-wielding revolt ended in executions, but its most unsettling legacy isn’t the broken machinery. It’s the question of who gets paid when productivity surges.
A height-prediction app sounds like the kind of idea ambitious founders might hide from their peers. But the more revealing story is what happens when a founder stops chasing prestige and starts testing what people actually watch—and buy.
A rule aimed at rare user behavior has pulled AI labs, religious thinkers, and skeptics into the same moral argument. The uncomfortable twist: treating Claude cautiously could raise harder questions than simply deciding whether it feels anything.
