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AI's accuracy problem: Companies prioritize scale over quality

By PulseAugur Editorial · [1 sources] ·

The current state of AI, particularly large language models, is characterized by a devaluing of process knowledge. As companies in the AI space increasingly resemble oligarchies or monopolies, the quality and accuracy of their products become secondary concerns. This trend is exemplified by LLMs that lack a true concept of accuracy, instead being trained on examples and deemed successful if their outputs are merely "good enough." AI

IMPACT The focus on "good enough" outputs in LLMs may hinder true AI advancement and user trust.

RANK_REASON The item is an opinion piece discussing the state of AI and its business implications, without announcing a new product, research, or policy.

Read on Mastodon — fosstodon.org →

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

AI's accuracy problem: Companies prioritize scale over quality

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COVERAGE [1]

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

    @ gimulnautti Love Doctorow! Agreed. But as these companies become oligarchs (or monopolies), it doesn't matter if their products are good or the service works

    @ gimulnautti Love Doctorow! Agreed. But as these companies become oligarchs (or monopolies), it doesn't matter if their products are good or the service works well. So, process knowledge gets devalued. That's where we're at with # AI (at least LLMs) - a tool that has no concept …

    LINKS mastodon.green/@gimulnautti

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