What's the situation with AI water usage? It turns out it's kinda complex.

We're looking at this Wired article:

https://www.wired.com/story/karen-hao-empire-of-ai-water-use-statistics/

It examines the controversy and complexities surrounding the water consumption of Artificial Intelligence (AI) and data centers. It discusses how exaggerated statistics about AI water use, such as a major error found in a journalist's book concerning a Google data center in Chile, have been challenged by critics, including an individual who asserts the severity of the issue is "fake." The article explains that data centers primarily use water for cooling processors, and the actual consumption varies greatly depending on location, climate, and technology used, with some companies opting for recycled water. Furthermore, it argues that concerns about AI's water footprint, especially when compared to other thirsty industries like agriculture and golf courses, are often rooted in a broader societal rejection of AI's rapid growth and perceived value. Ultimately, the text advises that while some water estimates may be flawed, the environmental impact of data centers cannot be ignored in water-stressed regions, highlighting the need for transparency from technology companies.

#artificialintelligence #aiethics #ai #environment #science

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Let's discuss a proposed paradigm shift in how we view and interact with large language models (LLMs), moving away from seeing them as conscious entities with opinions and toward understanding them as simulators.

The tweet in question: https://x.com/karpathy/status/1997731268969304070

This concept, initially highlighted in an Andrej Karpathy tweet, suggests that users should prompt LLMs to simulate diverse perspectives or groups of people rather than asking for the LLM's non-existent personal thoughts, thereby producing richer outputs.

We will also talk about the wide-ranging implications of this simulator framework, and its profound effects on technological development, philosophical understandings of agency, ethical governance, and ultimately, how humans will interact with and rely upon artificial intelligence in the future. The core message across the texts is that LLMs are powerful tools for reflecting collective human knowledge through statistical simulation, not artificial minds.

#artificialintelligence #consciousness #airesearch #ai

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Today's episode is about the viral dance clip featuring actor Jon Hamm in the 2025 series Your Friends & Neighbors, contrasting it sharply with his former restrained character, Don Draper from Mad Men.

We analyse how the clip—showing Hamm's character, Coop, dancing with uninhibited freedom—has become an ubiquitous internet meme representing escapism and dissociation.

Specifically, the meme is interpreted as an avatar for modern burnout and stress, allowing users to humorously express the feeling of being mentally elsewhere while dealing with overwhelming real-life responsibilities.

This juxtaposition of the stressful scenario with Hamm's absurd, carefree movement captures a survival humour common among younger generations who use irony to process anxiety. Ultimately, we think that the meme’s success lies in its visualisation of the private fantasy of psychological release from the pressures of contemporary adulthood.

The music track often accompanying this scene:

Kato Feat. Jon - Turn The Lights Off [Official Video] HD

https://www.youtube.com/watch?v=FxDMMeWK1ZE

#jonhamm #memes #viral #madmen #dondraper

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