
Encord, a San Francisco-based startup, develops data tools to generate physical training data for AI models using brain wave headsets, aiming to overcome the scarcity of real-world data. The company collects data from pilots to train robotic arms, focusing on tasks like disassembling blocks and pouring coffee, while also working with Zander Labs to create a dataset for robotic manipulation. Encord’s approach addresses the robotics data bottleneck by generating dense, annotated data that can improve AI performance, though creating such data is costly and requires manufacturing. The company’s efforts are part of a broader industry movement to solve the data scarcity challenge in AI development.
Microsoft is simplifying Copilot by combining its consumer and business apps, and dropping AI-generated podcasts, Group Chats, Deep Research, and its Mico character.

Nvidia has a plan to make sure its GPUs won't lose value. It wants to convince a new crop of financiers to keep lending for AI buildouts.

The tech giant has considered a nine-figure budget for the payments, according to the WSJ.
