Unverified50% confidenceFactExact time
General-purpose large models are trained on historical data and inherently lack internet connectivity, the ability to call external tools, conversational memory, and access to enterprise-internal proprietary data.
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Long-term
Relevance
10/10/2026
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Related Claims
UnverifiedLarge model training relies on publicly available internet data and cannot access a company's private rules and data.71% similarUnverifiedDeepMind's Chinchilla research pointed out that previous models were generally oversized and undertrained, meaning they had too many parameters but insufficient training data.69% similarUnverifiedContent generated by LLMs is essentially a statistical recombination of training data, lacking real product usage experiences, industry case studies, or original data to support it.67% similarUnverifiedThe factors that determine the upper limit of model capabilities are often training compute and data quality, both of which are difficult to share through simple open-sourcing67% similar
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