If all you’re looking to do is just click a button and get a decent print for a reasonable price, we recommend Fujifilm’s Instax Mini 12. It’s a basic instant camera that’s similar to our former pick, the Instax Mini 11, but with some minor updates. It still takes less than five minutes to start shooting, but the setup process is easier since all you need to do is twist the lens to either “on” or “off.” Such ease of use, combined with the camera’s thinner build, makes it particularly well-suited for kids and those new to photography.
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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
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