It’s easy to balk at its price tag, but this camera offers a level of flexibility that could save you money in the long run if you use it a lot. That’s because the Instax Mini Evo includes a full-color three-inch LCD screen that lets you preview and select which images you want to print, which can help you avoid wasting film on unwanted shots. The added flexibility gave me more room for creative experimentation, too, as I wasn’t worried about running out of film. I also loved using the Instax Mini Evo app to print photos from my smartphone. Plus, unlike the Instax Mini 12, the Evo now uses a USB-C port (though older black models still use the Micro USB port) for charging, so you don’t need to keep buying new batteries.
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// Second, we repeatedly call read and await on the returned
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?