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Can AI Actually Save the Climate?
Artificial intelligence is becoming a real tool in the climate fight: precise weather forecasts, optimized wind farms, satellite forest monitoring. But that same technology is driving a surge in data center energy and water use. AI is a multiplier, of solutions and of problems alike. This piece weighs both sides with primary sources from the IEA, IPCC, and peer-reviewed research, to show under what conditions AI can genuinely tip the climate balance.
Stéphane Guy
Sep 1610 min read
Transfer Learning: How AI Stops Relearning Everything From Scratch
Transfer Learning allows an AI to reuse knowledge from a pretrained model to tackle new problems. Less data, less compute, better performance: it powers GPT, BERT, and medical imaging AI. But it also inherits biases, risks negative transfer, and creates dependency on a handful of tech giants. A foundational mechanism for understanding how modern AI actually works.
Stéphane Guy
Jul 18 min read
Music Prompts: How to Describe Your Ideas to an AI and Get the Sound You Actually Imagine
A poorly written prompt produces generic AI music. A structured prompt — precise genre, named instruments, targeted emotion, defined tempo, clear context — can surprise you. This guide breaks down the five-layer method for describing your musical ideas to AI platforms like Suno or Udio, with concrete examples, the vocabulary that actually works, and the most common mistakes to avoid.
Stéphane Guy
Feb 277 min read
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