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AI as a Tool vs. LLMs: A Call to Reconsider Resource Consumption

The author argues that while AI can be a useful tool with curated data and human oversight, Large Language Models (LLMs) and Generative AI are fundamentally different. These models are described as "Text Regurgitating Machines" that consume vast resources like funds, water, and power without providing true artificial intelligence. The author urges readers to support AI as a tool but to reconsider supporting the financial bubble around LLMs, recommending Cory Doctorow's work for further information. AI

IMPACT Questions the value and resource efficiency of current LLM development, urging a distinction between AI tools and generative models.

RANK_REASON Opinion piece discussing the nature and resource consumption of AI vs. LLMs.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI as a Tool vs. LLMs: A Call to Reconsider Resource Consumption

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3 / 100
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Newsworthiness bucket
Commentary
Opinion piece discussing the nature and resource consumption of AI vs. LLMs.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion, other
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    @ n_dimension While a lot of good examples can be put on the table to show the capacity of # AI to be a useful **Tool** when using well *curated* corpus with hu

    @ n_dimension While a lot of good examples can be put on the table to show the capacity of # AI to be a useful **Tool** when using well *curated* corpus with humans in the decision loops, the same **cannot** be done for # LLM -based # GenAISlop served up as *proto-artificial inte…