Everyone has been waiting for GPT-5, surrounded by hype and speculation about its power. But how does it actually compare to GPT-4o in practice? Instead of spec sheets, we put both models through five real-world tests—from solving code challenges to handling emotional conversations. The results reveal surprising strengths, weaknesses, and very different personalities.

[Read More]

A bold blend of design and performance, the Nothing Phone 3 refines its iconic look while delivering a clean, capable Android experience that stands out in a sea of sameness.

[Read More]

In the emerging race for embodied AI dominance, Figure AI and Tesla take divergent paths toward building general-purpose robots—but it’s Figure’s tightly integrated, real-world VLA data loop that may lead it to achieve the robotics equivalent of a GPT breakthrough first.

[Read More]

A deep dive into the data bottlenecks limiting embodied AI, revealing why internet-scale training isn’t enough—and how large-scale, task-grounded, and multimodal data collection can unlock general-purpose home robotics.

[Read More]

While large language models (LLMs) like GPT-4 and Claude have revolutionized how machines understand and generate language, the next frontier is even more ambitious: building AI agents—autonomous digital entities capable of planning, reasoning, and acting across digital and physical environments.

[Read More]

π 0.5 is a powerful Vision-Language-Action model that enables robots to generalize across unfamiliar real-world environments by integrating diverse multimodal and cross-embodiment training data.

[Read More]