LLM training data concerns may disincentivize scientific progress

The use of publicly available internet data for training Large Language Models (LLMs) is raising concerns about its impact on scientific progress. Users are worried that if their advancements are used without attribution, it could discourage individuals from sharing their work freely online. This potential disincentive could slow down or halt future scientific and technological developments. AI

IMPACT Concerns that LLM training on public data without attribution could stifle scientific innovation and discourage open sharing of advancements.

RANK_REASON The item is a user's opinion/concern about the impact of LLM training on scientific progress, not a direct announcement or event.

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