In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
Google promises the new image generator will have more advanced world knowledge pulled from the Internet by the Gemini 3.1 LLM. This apparently gives it the necessary information to render objects with greater fidelity and create more accurate infographics. The days of squiggly AI text were already ending, but Google says Nano Banana 2 has Pro-like text accuracy in image outputs.
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"It wasn't just a few colonies that were lost and it wasn't a slow process," he says.
Other companies are also looking skywards - to make everything from pharmaceuticals to artificial tissues.
The business depends on packing a punch right away because the first five to 10 episodes are free, after which viewers are nudged to move to the app where they pay to watch further.