I tested the new ChatGPT Images 2.0 model with 10 real-world prompts to check how the model performs in different scenarios.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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Chaos never sleeps and neither do I, apparently.

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Images 2.0 introduces advanced reasoning capabilities for complex tasks Advanced thinking features are reserved for Plus, Pro ...

A fun, huge leap - and surprisingly useful for real work. After its release last week, I ran ChatGPT Images 2.0 through a series of tests to prov ...

After smartphones were cleared by NASA for space missions, the crew members of the Integrity spacecraft are beaming back lots of iPhone photos. Jeff Carlson writes about mobile technology for CNET. He ...

MacBook Neo starts at $599 with an A18 Pro chip, a bright 13-inch display, and clear trade-offs in ports, battery claims, and ...

Discover how OpenAI's GPT Image 2 uses reasoning and web search to automate UI mockups and design systems for creative teams ...

Python isn’t just for data and apps—it’s a playground for creativity. With tools like Processing, generativepy, and Pygame, you can turn code into visuals, patterns, and interactive experiences.