Capital de TokensAI Uses More Resources When Used Than When Created #Shorts
Watch on YouTube Did you know that using AI can ultimately be more demanding than creating it? Training a frontier model concentrates thousands or tens of thousands of chips for weeks or months. But then comes inference: every query, translation, video, or automated task. If AI is integrated into search engines, offices, factories, and vehic
Did you know that using AI can ultimately be more demanding than creating it? Training a frontier model concentrates thousands or tens of thousands of chips for weeks or months. But then comes inference: every query, translation, video, or automated task. If AI is integrated into search engines, offices, factories, and vehicles, those daily requests could weigh heavily on total consumption. That is why the race is not only for larger models, but also for more efficient models capable of solving specific tasks with less compute. The big question is which will grow more: the scale of the models or our everyday use of them.
Full episode: https://youtu.be/1t8AY8xRb6o
🤖 AI-generated content: the script, voices, and images in this episode were produced with artificial intelligence tools.
#Shorts