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→ A rising tide of e-waste, made worse by #AI, threatens our #health, the #environment and the #economy
theconversation.com/a-rising-t

The #ewaste issue is also (mainly?) a #software challenge:

• “Windows 10 end of life could prompt torrent of e-waste as 240 million devices set for scrapheap” → itpro.com/software/windows/win (the answer is #Linux btw)

• See the #Eroom concept by @nitot → driquet.info/1brc/#eroom-nitot

And this is why I'm committed to building #carbon-aware websites with → @cyberia

The ConversationA rising tide of e-waste, made worse by AI, threatens our health, the environment and the economyData centres need to expand to support the AI revolution, but that means even more electronic waste.
Tristan Nitot✓

@homlett @cyberia on this very topic, here is the first podcast episode in English I've recorded about EROOM's law, or how to use software optimization to reduce massively our digital footprint: podcasts.castplus.fm/e/2nx0z9v

#50 Is Eroom's law the future of Moore's law? with Tristan Nitot#50 Is Eroom's law the future of Moore's law? with Tristan NitotMoore’s law is dead! Long live Eroom’s law! This provocative statement from Tristan Nitot highlights the pivotal role of software engineers in our journey as an industry toward a sustainable and more frugal digital world. The majority of our old devices, from smartphones to desktop, still work. How come that we waste such a massive gathering of precious resources such as minerals, energy, water and even our human time which we use to manufacture and maintain them? What should we do to break the trend of electronic waste and the ever-increasing footprint of the IT sector on our physical world? Gael Duez sat down with Tristan Nitot to start answering these questions in this Green IO episode where we covered: ⚖️ Why Wirth’s law matters more than Moore’s law 🗑️ How the Auvergnat cultural aversion for waste accelerated the birth of the Eroom’s law 🔎 How to find (sustainability) weakness in your software, 🐍 Why Python is not (always) guilty of being resource hungry and how to embrace a wise use of alternative libraries such as Polars, ✨The real ROII of using AI to optimize software.
03 déc. 2024, 08:05·Public·Web
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