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Public to discern LLM vs. non-LLM AI; training data exclusions to matter

The public will soon be able to distinguish between AI that uses Large Language Models (LLMs) and those that do not, driven by a viral information wave. Additionally, as LLMs become more accessible both online and locally, users will prioritize understanding what data was excluded from their training sets over their capabilities. This focus on exclusion will shape user preferences, influencing factors like model size for device compatibility. AI

IMPACT Public understanding of AI will evolve, leading to a focus on training data exclusions rather than just model capabilities.

RANK_REASON The item is an opinion piece discussing future public understanding of AI and LLMs.

Read on Mastodon — fosstodon.org →

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Public to discern LLM vs. non-LLM AI; training data exclusions to matter

COVERAGE [1]

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

    One of my thoughts about where LLMs and AI is going, not really predictions, they’re fairly obvious: In the near future the general public will be informed enou

    One of my thoughts about where LLMs and AI is going, not really predictions, they’re fairly obvious: In the near future the general public will be informed enough to strongly distinguish between AI that doesn’t involve an LLM and AI that does involve an LLM. There’ll be some sort…