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GitHub is sinking
GitHub is sinking
GitHub, once a popular platform for source control, is now criticised for its declining reliability and user experience, particularly since Microsoft’s acquisition. The author argues that GitHub’s value has diminished due to issues like bot infestation and a focus on profit over user needs. They suggest exploring alternatives like Codeberg, Gitea, or self-hosting Git repositories to escape GitHub’s shortcomings.
·dbushell.com·
GitHub is sinking
The AI water issue is fake
The AI water issue is fake

Summary: The water usage of AI data centres is not a significant environmental issue. While data centres do use water, primarily for cooling, their water consumption is minimal compared to other industries and daily activities. The concern is often based on misconceptions and misleading statistics, rather than a comprehensive understanding of the data and the broader context of water usage.

I see this brought up a lot, and while I understand the concern, I'm always a litle skeptical that it's what people trot out. Keeping this so I can refer back to it, and for further investigation.

·blog.andymasley.com·
The AI water issue is fake
The Boring Internet
The Boring Internet
The internet is not dying, but the commercial layer built on top of it is. This layer, characterised by platforms and services, is straining under the weight of machine-generated content and a focus on profit. Beneath this layer lies the protocol layer, a collection of older, less polished technologies that are harder to monetise but also harder to control or destroy.
·terrygodier.com·
The Boring Internet
Don't Outsource Your Understanding
Don't Outsource Your Understanding
The article highlights the dangers of “cognitive surrender,” where individuals rely heavily on AI-generated content without proper verification. This phenomenon is evident in various fields, including law, software development, and academia, leading to errors, misinformation, and a lack of understanding. The author emphasises the importance of staying engaged in the cognitive loop, actively verifying AI outputs, and understanding the underlying processes to ensure the quality and reliability of work.
·leehanchung.github.io·
Don't Outsource Your Understanding