If you have been outside the U.S. for 2 years without having obtained a reentry permit, then you could be considered to have abandoned your green card. But all isn't necessarily lost. The ability to keep your green card will depend largely on the reason that you were outside the U.S. for 2 years and likely will require you to apply for a returning resident visa.
That seems incredibly prescient for accounts created before even GPT-1. Obviously broad data scraping existed before then, but even amongst this crowd I find it hard to believe that’s the real motivator.
Yes, they do. They're called Neural Engine, aka NPUs. They aren't being used for local LLMs on Macs because they are optimized for power efficiency running much smaller AI models.
Meanwhile, the GPU is powerful enough for LLMs but has been lacking matrix multiplication acceleration. This changes that.
From a compute perspective, GPUs are mostly about fast vector arithmetic, with which you can implement decently fast matrix multiplication. But starting with NVIDIA's Volta architecture at the end of 2017, GPUs have been gaining dedicated hardware units for matrix multiplication. The main purpose of augmenting GPU architectures with matrix multiplication hardware is for machine learning. They aren't directly useful for 3D graphics rendering, but their inclusion in consumer GPUs has been justified by adding ML-based post-processing and upscaling like NVIDIA's various iterations of DLSS.
Solar has the advantage of scaling down. 1000 people can give 1M US dollar which can produce approximately 1GW of power on a thousand of power plant in a year. You can scale down as low as 400W of energy production and distribute the financial cost to many people.
Gmail initially offered very big email storage space comparing the others, and it was going up continuously until its storage area merged with Google Drive.
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