Tag
Showing 22–42 of 328 posts
The week’s biggest AI announcements came with a catch: impressive capabilities don’t guarantee access, trust, or value. The real contest is shifting from who tops a benchmark to who can deliver useful work safely and affordably.
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.
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.
The AI buzzword pile hides a practical system—and a few costly misconceptions. Once you see how the pieces connect, the hype gets easier to question and the tools easier to use.
When AI makes building cheaper, the scarce advantage may not be a better tool—it may be something no prompt can instantly copy. Greg Isenberg’s list reveals where he thinks that advantage could live.
The familiar prompt tricks may be slowing your coding agent down—or making it stop when you need it to keep going. Anthropic’s advice points to a different skill: designing the task and workflow, not micromanaging every step.
A model router sounds like a thin layer of software—until one failure can break an AI product built on it. The bigger prize may be a live map of where the entire AI market is headed.
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.
A coding assistant’s loading screen becomes a game, a live chat, and a programmable interface. The fun reveal comes with a serious catch: these extensions can reach deep into Claude Code.
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.
The floodgates have opened: books, comics, research, and software can all be generated on demand. But when output is cheap, a more personal constraint gets harder to ignore—and it can turn possibility into a pile of unfinished projects.
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.
A four-day sprint, billions of tokens, and a proof checked by software make for a jaw-dropping claim. But the real story may be less about a machine winning a prize—and more about what counts as a mathematical breakthrough.
Companies are paying engineers seven figures to do more than just code AI solutions. They're hiring them to become corporate detectives, mapping the messy reality of business operations before a single agent is deployed.
AI can now automate the nightmare of app deployment, connecting hosting, databases, and even Stripe for you. But this convenience comes with critical limitations and security traps that developers must understand before handing over the keys.
While developers chase the next-best language model, a new class of AI is quietly making their workflows 1000x cheaper and faster. But it's not about generating text; it's about making the right call, instantly.
AI agents are creating a 'cognitive debt' that makes code reviews nearly impossible. One open-source tool forces your agent to draw a map, revealing every critical change.
OpenAI just unveiled Dots, an always-on AI agent that works even when you're offline. But this isn't just a new feature; it's a fundamental shift that could lock you into one company's ecosystem forever.
OpenAI's 2026 Dev Day wasn't just about another chatbot. They unveiled a new class of proactive AI designed to operate 24/7 in the background of your digital life, fundamentally changing the game for Google and Meta.
