AI

More people are turning to AI to explore their BDSM fantasies, but some in the community feel it’s a cop-out.

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process.

Organizations and individuals running multiple custom AI models, especially recent Mixture of Experts (MoE) model families, can face the challenge of paying for idle GPU capacity when the individual models don’t receive enough traffic to saturate a dedicated compute endpoint. To solve this problem, we have partnered with the vLLM community and developed an efficient

The software engineer is famous for his online stunts. Now he’s joining the company behind ChatGPT to work on new ways for humans to use AI systems.

Large conferences and events generate overwhelming amounts of information—from hundreds of sessions and workshops to speaker profiles, venue maps, and constantly updating schedules. While basic AI assistants can answer simple questions about event logistics, most fail to deliver the personalized guidance and contextual awareness that attendees need to navigate complex, multi-day conferences effectively. More importantly,

Have you ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they

An open source project called Scrapling is gaining traction with AI agent users who want their bots to scrape sites without permission.

Starting with the Samsung Galaxy S26, Google’s Gemini can automate tasks in popular mobile apps. We got a live demo of the new feature in action.

If you’ve ever wanted to bounce ideas off your favorite historical figure, Ailias gives you the chance.

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about the