TOP LAUNCHES

AI is now browsing the web

TOP LAUNCHES

Claude Web Search lets you ask questions and get AI answers backed by real-time web results. It’s like chatting with Claude, but now it actually knows what’s happening today.

Epiphany is a minimalist journal designed to help you reflect with short, guided prompts and build a consistent writing habit. It keeps things simple so you can focus on what matters—your thoughts.

OpenAI’s new GPT-4o audio models let you build voice-based apps that talk, listen, and respond in real time. It’s a step closer to making AI feel less like a tool and more like a conversation.

Gemini Canvas is a collaborative space where you can think, plan, and build with AI in a more visual, interactive way. It’s like having a smart whiteboard that actually helps you get things done.

Aha is an AI-powered influencer marketing team that runs 24/7 and scales across industries. It uses multi-agent collaboration to boost brand awareness, drive sales, and grow businesses—without the overhead of a traditional agency.

THE BIG IDEA

Is AI just a bubble or a really long road?

AI is having its gold rush moment. Tech giants are dropping hundreds of billions on data centers, chips, and power just to keep up with the demand for bigger, faster models. It’s not just about keeping ChatGPT running—it’s about staking a claim in what might be the next computing platform.

But some are starting to wonder if we’re getting ahead of ourselves. Alibaba chairman Joe Tsai recently said the quiet part out loud: what if we’re overbuilding? With spending set to hit $320 billion this year, and companies racing to scale before the use cases are fully there, it’s starting to feel a little familiar—like the early 2000s when everyone needed a dot-com, and no one knew why. Investors are still all-in, and companies like Nvidia are riding high, but not every data center will pay off if real-world adoption can’t keep up.

That doesn’t mean it’s all hype. The tech is real, and the potential is massive. But whether this turns into the foundation of the next era—or a cautionary tale about betting too big too soon—is still very much in play.

TRENDING DISCUSSIONS

What’s all the hype about?

Most AI tools forget everything the second you close a tab. Model Context Protocol wants to change that—with shared memory and smarter agents that actually remember what you’re doing.

That’s what Ilia Pluzhnikov asked. Anyone here actually using it?

One dev tried the local server and got nowhere—Claude could only trigger prewritten commands, nothing felt useful. But others got weird with it. Someone built a Blender agent that models scenes from text. Another wired Claude into their local file system to edit and write code with context. One even bought a domain from inside a chat.

It’s clunky. It’s early. But the thread? Full of ideas that make you want to try anyway.