AI Models Lack True Intelligence, Function as Useful SaaS

@packyM· June 24, 2026 View original

Summary

The author argues that current AI models like Claude and ChatGPT, despite their utility, do not exhibit true intelligence because they produce generic, similar outputs rather than demonstrating novel thought. They suggest trusting one's intuition that these models are sophisticated tools, not genuinely intelligent entities.

The post expresses a strong opinion that current large language models, such as Claude and ChatGPT, do not possess genuine intelligence. The author observes that these models tend to generate outputs that are remarkably similar and generic, lacking the capacity for truly novel or distinct creative expression. This perspective suggests that if true intelligence were present, the models would recognize and actively attempt to diverge from producing uniform content. Instead, they function as highly effective software-as-a-service tools, useful for various tasks but not indicative of sentient thought. The author encourages professionals to rely on their own judgment rather than being swayed by complex terminology, asserting that the models' utility should not be conflated with actual intelligence.

Why it matters

Understanding the limitations of current AI models helps professionals set realistic expectations for their capabilities and avoid overestimating their "intelligence," guiding more effective integration and application.

How to implement this in your domain

  1. 1Evaluate AI outputs critically for originality and generic patterns.
  2. 2Design workflows where AI augments human creativity rather than replaces it.
  3. 3Focus on AI's utility as a powerful tool for automation and content generation.
  4. 4Educate teams on the current state of AI capabilities and limitations.

Who benefits

Software DevelopmentContent CreationMarketingEducationConsulting

Key takeaways

  • Current AI models often produce generic outputs, indicating a lack of true intelligence.
  • Professionals should view AI as a powerful utility or SaaS, not a sentient entity.
  • Trusting one's intuition about AI's limitations is encouraged over complex jargon.
  • Setting realistic expectations for AI capabilities is crucial for effective deployment.

Original post by @packyM

"I don’t have any fancy benchmarks other than: I don’t know how you see Claude or ChatGPT design the same way and write the same way and believe that it’s intelligent in any real way. If there was “intelligence” in there, it would be like “oh yeah I totally track what you’re sayin…"

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