My work on AI coin analysis and grading has me closely following advancements in AI models, and the industry is evolving rapidly.

Previously, public AI models could only analyze static images of coins, which severely limited accuracy.

Collectors know the importance of viewing coins from multiple angles and lighting. Well...Google’s just updated Gemini 1.5 Pro to support video uploads. It can now analyze thousands of frames instead of just a few images. This is a game-changer.

I recorded a short video to check whether it would even return coherent results. I ran a quick test on a slabbed 1925 Lincoln Cent.

The AI accurately identified the coin, though the grade was slightly off. That's okay, though. If I had used a high-resolution camera, set up better lighting, conducted additional tests to determine the optimal video length, and fine-tuned the model, I bet I would have gotten an accurate grade.

That's not to mention that OpenAI just released the best AI model in the market, the o1 model, which now has PhD level intelligence and reasoning. That model can't take video inputs yet, but I'm excited to test it out when it does.

In short, AI is now just two steps away from surpassing human graders.

The next step is AI being able to analyze a live video feed. The final step after is integrating live video into a robotics platform. The AI would be able to analyze a coin in real time. Just like a human, it can dynamically rotate a coin to see all angles. But beyond a human, it can:

• Adjust to any lighting conditions.
• Quickly snap from 2x to 20x lens to inspect specific spots.
• Switch to different viewing modes like LiDAR for 3D scanning.
• Use X-ray to determine composition and identify counterfeits.
• And so much more

At some point the narrative will shift from "AI can now mimic a human grader" to "AI is better than a human grader in every way". I will note that my underlying assumption is AI using technical grading standards. Market grading is a whole other beast.