HARDWARE

iPhone 15 AI Photography Capabilities Exceed Expectations

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31 October 2023 11h34

This is very true, the capture device and lens is still the iPhone 15 tho, shows whats possible. Would not have guessed it in 100 years.

Apple Event Shot Entirely on iPhone 15 Pro Max

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31 October 2023 11h24

This is how they shot the Apple Event on the iPhone 15 Pro Max

🎥 @ianzelbo

Just freaking amazing.

pic.twitter.com/ZVcuJnvxbQ
— Linus ✦ Ekenstam (@LinusEkenstam) 31 octobre 2023

This is how they shot the Apple Event on the iPhone 15 Pro Max @ianzelbo Just freaking amazing.

iPhone 15 Pro Max Films Apple Event with Stunning Video Quality

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31 October 2023 11h19

The most impressive part of the Apple Event aside from the M3 Max… Was the fact that it was all recorded on a iPhone 15 Pro Max. When you look at the event stream you struggle to grasp that even when you know its filmed on an iPhone.

User Satisfied with M1 Max Apple Hardware Purchase

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31 October 2023 11h17

Great purchase! I’m still on M1 Max.

Disney Deploys Bipedal Robot for Star Wars Park Experience

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31 October 2023 9h44

Disneys new Bipedal robot spotted at a Disney World Park. Seemingly with Star Wars roleplaying cast. pic.twitter.com/Bg5GHIATy2
— Linus ✦ Ekenstam (@LinusEkenstam) 31 octobre 2023

Disneys new Bipedal robot spotted at a Disney World Park. Seemingly with Star Wars roleplaying cast.

→ View original post on X — @localghost

Apple Patents Matte Black Finishing Technique for Devices

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@localghost

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31 October 2023 2h04

Apple was granted a patent last month on a matte black finishing technique. I guess we're seeing it first hand here. Looks great.

→ View original post on X — @localghost

Apple’s Black MacBook Pro: Rare Color Returns After 20 Years

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@localghost

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31 October 2023 2h01

Black MacBook Pro is gonna sell so well. Pretty rare color, too. Last black MacBook was the 2006 model.

→ View original post on X — @cerebras

Cerebras Accelerates 175B LLM Training with PyTorch Single Device

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@cerebras

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31 October 2023 0h04

Cerebras presented at the PyTorch Developer Conference and covered how we accelerate Large Language Model (175B+) training using PyTorch, Torch-MLIR, and the simplicity of single device training without a single torch.distributed instruction Watch here: