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AI hype criticized for overusing complex neural networks

By PulseAugur Editorial · [1 sources] ·

A user on Mastodon expressed amusement at the use of custom-trained neural networks for a task that could be accomplished with simpler algorithms like contrast detection. The user suggested that this approach, which is less efficient and more resource-intensive, serves as an allegory for the broader hype surrounding artificial intelligence. AI

IMPACT Highlights user skepticism about the necessity and efficiency of certain AI applications.

RANK_REASON User opinion/critique of AI hype, not a core AI development.

Read on Mastodon — fosstodon.org →

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

AI hype criticized for overusing complex neural networks

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    @ nielso they really had me ROFL with CUSTOM TRAINED NEURAL NETWORKS "to estimate how far and in which direction to move the lens". There's an algorithm for tha

    @ nielso they really had me ROFL with CUSTOM TRAINED NEURAL NETWORKS "to estimate how far and in which direction to move the lens". There's an algorithm for that. It's called "contrast detection". In its simplest form it's 100 lines of code, maybe even less. But no, they had to u…

    LINKS digitalcourage.social/@nielso

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