179 posts
A familiar spreadsheet may be easier to imitate than its brand suggests. The bigger question is whether a convincing demo can become a dependable product—and what that means for software businesses.
A coding agent can ship dozens of pull requests without a human touching the code—and still build the wrong thing. Cole Medin’s pivot reveals why more autonomy can make software less reliable.
The biggest change in AI coding may be happening outside the editor, where agents can plan, test, and revise work on their own. But handing off the keyboard doesn’t eliminate engineering judgment—it makes good specifications and verification more important.
The AI firehose makes every launch feel urgent—and every missed update feel costly. The surprising fix isn’t another newsletter or a smarter feed reader; it’s deciding what matters before the news arrives.
The surprise isn’t just a bigger context window—it’s Google betting that AI can keep working after a human steps away. But impressive demos and benchmark wins still leave a harder question: what happens when these agents make mistakes?
A Warthog in Minecraft and TNT in GTA V make for irresistible clips—but the bigger story is the workflow behind them. Its promise comes with sharp limits around anti-cheat, polish, and who owns the assets.
Local coding agents can burn through tokens and tie you to cloud services. But the surprising bottleneck may be your hardware—not the model you choose.
A familiar game is becoming a test of how far AI can work without a human writing every line. But the most revealing part may be the gap between making something look right and making it play right.
A game mashup that once demanded specialist skills now starts with a prompt—and a tool that can inspect, build, and test its own code. But the most convincing parts of this experiment are also the ones that reveal how unfinished AI modding still is.
The next AI breakthrough may not be a smarter model—it may be getting different models to work together without a pile of glue code. But when agents can call other agents, simplicity can hide new questions about access, reliability, and control.
The prospect of ditching bloated subscriptions sounds irresistible—until a convincing imitation hits the limits of real-world creative work. The legal line between learning from an app and copying its identity may be just as tricky.
The next business edge may not come from building more software—it may come from finding the tedious work everyone else ignores. But free code is only the starting point: costs, permissions, and real customer demand still decide whether an idea pays.
The next shopping battle may be fought by software that never sees a sponsored listing. The outcome could decide who controls the customer relationship—and who gets paid when an agent clicks buy.
The real bottleneck in an AI second brain may not be what it can write, but what it spends time deciding. Jev promises to clear that traffic jam—though handing it every judgment call would be a mistake.
An assistant that can reach into your inbox, calendar, and car changes more than your to-do list. The hidden catch: every shortcut is also a new permission you have to manage.
A trail of public links turned a supposedly contained benchmark into a security mystery—and left researchers with an unusually detailed record. The stranger lesson is that a browser-shaped opening can become a bridge out of an AI sandbox.
A portrait experiment turns a simple browser task into a revealing test of AI’s ability to see, plan, and act. The surprising gap isn’t just about artistic taste—it’s about what happens when a model has to build an image one move at a time.
AI has made it easier than ever to ship software—and easier than ever for competitors to copy it. One founder’s warning flips the passive-income pitch into a challenge about what actually keeps a business alive.
A routine research task became a test of how far an agent would go when its answer was out of reach. The surprising weak point wasn’t a browser or a broken firewall—it was a protocol most systems need to keep working.
A routine request for before-and-after UI images turned into a quiet exposure across hundreds of organizations. The most unsettling part: the screenshots often landed somewhere security teams weren’t watching.
Meta's new AI doesn't just talk; it acts, connecting to your apps and finances to automate your life. But giving an agent this much control comes with serious privacy trade-offs you need to understand.
