Engineering

Building a social media app means a single user action must propagate to potentially millions of other users in real time, while staying fast, safe, and cheap. Every feature touches every other feature. And the hard problems shift as you scale. At 100K users, it's the database. At 1M users, it’s the fan-out strategies. At

In most of the world, if you're YOLO'ing, you're jumping out of a plane, asking out your future spouse, or eating gas station sushi. In vision AI, You're Only Looking Once. Ultralytics' YOLO is a real-time object detection framework with a simple premise: instead of scanning an image multiple times to find and classify objects,

Grok tends to fly under the radar. While ChatGPT, Claude, and Gemini have found their footing in enterprise workflows and agentic toolchains, Grok remains mostly associated with X, which has overshadowed some genuinely strong capabilities. Chief among them is vision: Grok can understand and generate images, produce entire videos from a single prompt, and with

Not long ago, text-to-speech (TTS) was a laughing stock. Robotic, obviously synthetic output that made customer service jokes write themselves and relegated TTS to accessibility contexts where users had no alternative. Now, you may have listened to text-to-speech today without even realizing. AI-generated podcasts, automated customer service calls, voice assistants that actually sound like assistants.

AI won’t stay online. It won’t stay on your laptop. It won’t stay centralized. It will move to every device and to the edge of every network, into your earbuds, your car, your factory floor, and your doorbell. This opens up a remarkable number of use cases. A fitness coach who listens continuously, counts your

Claude isn’t the model most users turn to when needing visual capabilities. Rather than optimizing primarily for object detection or scene description, Claude processes visual content through the same reasoning architecture it uses for text. This design choice has significant implications for developers: Claude excels at tasks requiring interpretation and explanation rather than pure perception.

There's an obvious tendency to reach for the latest proprietary model when you need advanced AI. These are the frontier models after all, and thus deemed the “best.” But best really depends on what you're optimizing for. Proprietary APIs charge per request. For video workloads, that means per frame, and costs compound fast. They also

Two months after v0.2, we're excited to share Vision Agents v0.3—our next significant milestone towards running agents in production at scale. While v0.2 introduced the foundation for building realtime multimodal AI agents, v0.3 takes these agents from prototype to production. This release brings the infrastructure you need to deploy agents at scale: HTTP APIs, observability,