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.
HARDWARE
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Apple Event Shot Entirely on iPhone 15 Pro Max
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This is how they shot the Apple Event on the iPhone 15 Pro Max
— Linus ✦ Ekenstam (@LinusEkenstam) 31 octobre 2023
🎥 @ianzelbo
Just freaking amazing.
pic.twitter.com/ZVcuJnvxbQThis is how they shot the Apple Event on the iPhone 15 Pro Max @ianzelbo Just freaking amazing.
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iPhone 15 Pro Max Films Apple Event with Stunning Video Quality
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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.
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Disney Deploys Bipedal Robot for Star Wars Park Experience
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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 2023Disneys new Bipedal robot spotted at a Disney World Park. Seemingly with Star Wars roleplaying cast.
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Apple Patents Matte Black Finishing Technique for Devices
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Apple was granted a patent last month on a matte black finishing technique. I guess we're seeing it first hand here. Looks great.
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Apple’s Black MacBook Pro: Rare Color Returns After 20 Years
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Black MacBook Pro is gonna sell so well. Pretty rare color, too. Last black MacBook was the 2006 model.
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Cerebras Accelerates 175B LLM Training with PyTorch Single Device
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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:
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Multiple Companies Building High-Performance AI Compute Clusters
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more than two companies have clusters with those FLOPs. quite a handful.
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LLaMa2-70B Training Costs: Computing Efficiency Analysis
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Calculations:
LLaMa2-70B was trained on 2T tokens, and 3.3m hours of A100 GPU time. At a HFU of ~60%, LLama2-70B took ~4.4e+24 flops (3.3m * 624TFlops bfloat16 * 60% HFU).