Story
Familiarity is the enemy: On why Enterprise systems have failed for 60 years
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Overview
Enterprise knowledge systems have struggled for sixty years due to issues related to familiarity. A senior executive at a global enterprise indicated that this familiarity was a key reason for not adopting a new AI product.
Summary from felixbarbalet.com.
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Hacker News · felixbarbalet.com
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Based on 5 sampled comments from this thread. Analyzed 2026-04-24.
- Praise: The discussion highlights that LLMs can effectively work with various programming languages, emphasizing the importance of token efficiency and structural regularity over mere familiarity.
- Praise: The emphasis on stability and clarity in libraries suggests that well-defined programming environments can significantly enhance AI model performance and reduce token wastage during training.
- Concern: Concerns are raised about the lack of reliable enterprise software solutions over the past sixty years, indicating a persistent gap in effective AI applications in this domain.
- Concern: The sentiment that enterprises prefer established companies for support rather than innovative solutions suggests a stagnation in the adoption of potentially superior AI technologies.