With a new feature called Hype, YouTube is trying to focus on growing the smaller channels and helping people discover and share new creators. Hype is an entirely new promotional system inside of YouTube: there’s a new button for hyping a video, and the most-hyped videos will appear on a platform-wide leaderboard. It’s a bit like Trending, but it’s focused specifically on smaller channels and on what people specifically choose to recommend rather than just what they watch.

The actual mechanism behind Hype is pretty complicated. A video is only eligible to be hyped in the first seven days after it’s published, and of course, if it’s made by a channel with fewer than half a million subscribers. Each user only gets three hypes a week, and each hype is worth a certain number of points that inversely correlates to how many subscribers a given channel has. (The idea is that smaller channels should be able to hit the leaderboard, too, so each hype to a smaller channel will be worth more po

For OpenAI, o1 represents a step toward its broader goal of human-like artificial intelligence. More practically, it does a better job at writing code and solving multistep problems than previous models. But it’s also more expensive and slower to use than GPT-4o. OpenAI is calling this release of o1 a “preview” to emphasize how nascent it is.

The training behind o1 is fundamentally different from its predecessors, OpenAI’s research lead, Jerry Tworek, tells me, though the company is being vague about the exact details. He says o1 “has been trained using a completely new optimization algorithm and a new training dataset specifically tailored for it.”

OpenAI taught previous GPT models to mimic patterns from its training data. With o1, it trained the model to solve problems on its own using a technique known as reinforcement learning, which teaches the system through rewards and penalties. It then uses a “chain of thought” to process queries, similarly to how humans process problems