Subconscious AI: A Closer Mirror to Human Intelligence Than Generative AI

The rapid advancement of artificial intelligence has sparked comparisons between AI and human cognition. While generative AI has captured headlines, a deeper examination reveals that Subconscious.ai may be a more accurate reflection of human intelligence.

Here's why:

1. Understanding Cause and Effect: Unlike generative AI, which relies on pattern recognition, our Causal AI model understands cause-and-effect relationships. This mirrors how humans reason about the world, leading to more accurate and logical conclusions.

2. Robust Decision-Making: Causal AI's ability to understand causality allows for more robust decision-making, even in novel situations. This reflects human adaptability and reasoning in unfamiliar contexts.

3. Reduced Bias and Hallucinations: By focusing on causal relationships, our AI is less prone to the biases and hallucinations often seen in generative AI models. This results in more reliable and consistent outputs, similar to human expert reasoning.

4. Explainable Results: Causal AI provides clear reasoning paths, making its decision-making process more transparent and explainable. This aligns with how humans can often articulate the logic behind their choices.

5. Human-Level Accuracy: Our correlation to human responses (0.68) nearly matches the human baseline (0.70), significantly outperforming generative AI models like GPT-4 (0.36). This demonstrates our closer alignment with human-like intelligence.

At Subconscious.ai, we're committed to developing AI that not only performs tasks but understands the underlying causal mechanisms, much like human cognition. This approach leads to more accurate, reliable, and truly intelligent systems that can better serve human needs.

If you’d like to try out the Subconscious.ai platform for your market research needs, you can run 2 free experiments by clicking “Get Started” here. Or, you can schedule a demo to learn more.