Interesting post and a great reminder that these viral statistics should always be viewed with scepticism -
As I read the article I considered my anecdotal experience of LLM energy use. I use Ollama to run AI models on a machine equipped with an Nvidia RTX 3090. Roughly speaking a query tends to cause the graphics card to draw c.350 watts (according to system monitoring) for about 30 seconds (estimate, does vary)
Energy (Wh) = Power (W) × Time (hours) = 350 W × (30/3600) hours = 350W × 0.00833 hours = 2.9Wh!
This article presents a fascinating paradox: 'Statistics never lie, but they often deceive.' While numbers may seem objective, their interpretation is rarely free from bias or omission. The truth is, what we read—especially data-driven claims—should never be taken as absolute. Behind every statistic lies an unseen context, and it’s often that hidden layer that holds the real insight.
The key takeaway? Always question the frame of reference. Cultivate curiosity, seek alternative perspectives, and don’t hesitate to dig deeper yourself. A well-rounded understanding comes not from accepting information at face value, but from exploring what isn’t immediately visible.
Great article—thank you for the thought-provoking work and for sharing it with us!
Interesting post and a great reminder that these viral statistics should always be viewed with scepticism -
As I read the article I considered my anecdotal experience of LLM energy use. I use Ollama to run AI models on a machine equipped with an Nvidia RTX 3090. Roughly speaking a query tends to cause the graphics card to draw c.350 watts (according to system monitoring) for about 30 seconds (estimate, does vary)
Energy (Wh) = Power (W) × Time (hours) = 350 W × (30/3600) hours = 350W × 0.00833 hours = 2.9Wh!
This article presents a fascinating paradox: 'Statistics never lie, but they often deceive.' While numbers may seem objective, their interpretation is rarely free from bias or omission. The truth is, what we read—especially data-driven claims—should never be taken as absolute. Behind every statistic lies an unseen context, and it’s often that hidden layer that holds the real insight.
The key takeaway? Always question the frame of reference. Cultivate curiosity, seek alternative perspectives, and don’t hesitate to dig deeper yourself. A well-rounded understanding comes not from accepting information at face value, but from exploring what isn’t immediately visible.
Great article—thank you for the thought-provoking work and for sharing it with us!