Trained — weights learned from data by any training algorithm (SGD, Adam, evolutionary search, etc.). The algorithm must be generic — it should work with any model and dataset, not just this specific problem. This encourages creative ideas around data format, tokenization, curriculum learning, and architecture search.
While it didn’t make the cut, the Instax Square SQ1 is also worth a brief mention. Like the Mini 12, the Square SQ1 produces good-quality shots, is easy to set up and use, and features a built-in selfie mirror. The reason we didn’t include it above, however, is that it costs nearly twice as much as the Mini 12 at $159.95, though we do sometimes see it on sale for $100. That said, it might be worth a look if you prefer large 2.4 x 2.4-inch square prints and relatively true-to-life photos over vintage-looking stills. After all, the SQ1 is still cheaper than the Polaroid Flip and produces higher-quality images than the Kodak Mini Shot 3 Square Retro, which also prints similarly sized square shots.
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Nature, Published online: 27 February 2026; doi:10.1038/d41586-026-00505-z
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