Unlike last year’s iPhone 16E, the 17E features MagSafe and Qi2 wireless charging, along with the faster A19 chip found in the iPhone 17 and twice as much base storage (256GB vs. 128GB). It also features a sharper, more durable display, retains support for Apple Intelligence, and includes a 48-megapixel “fusion” camera that enables 2x telephoto shots, all of which bring it closer to Apple’s more premium phones.
Mongo wins on throughput, 1.048x (4.8%) higher, but loses on latency, which is lower 1.26x by mean and 1.22x by 99th percentile for Postgres - it is therefore a draw
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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I thought, wow. That’s it. That’s what these floppies were trying to be! Interactive, animated textbooks that taught you about programming and the Apple II! Incredible.
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