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Private Evaluations Show GPT-40 Dethroned in Coding and Math Benchmarks

Private evaluations are becoming more important for AI models. These tests help measure how smart AI really is. Seal, a company that focuses on private evaluations, is leading this effort. They make sure no models are trained on the answers. This means the results are more accurate.

Let's look at the leaderboard. Coding Claw 3.5 Sonet is now first place in coding. GPT 4.o and Gemini Pro are also on the list. Mistro Large 2 is a surprise leader in coding. It even beats Google Gemini 1.5 Pro. Many people think Mistro Large 2 is underrated, but this shows it deserves more attention.

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In math, GPT 4.o ranks second. Even in following instructions, GPT 4.o is not first. This means other models are catching up. GPT 4.o was once the top model in many areas. Now, its lead is shrinking. OpenAI has to work hard to stay ahead.

Experts are making sure these powerful AI models are used responsibly. There is always a risk of misuse. So, they are working with specialists to set guidelines. This helps keep the technology safe and effective.

These evaluations show that competition is strong. Different models excel in different areas. It is important to know which model is best for your needs. For coding, Mistro Large 2 might be the best choice. For math, you might still trust GPT 4.o.

Seal's work in private evaluations is valuable. It gives a clear picture of how AI models perform. Companies can use this information to make better choices. This also pushes AI developers to improve their models.

Keep an eye on these evaluations. They show the true power of AI models. They also highlight areas where models need to improve. This helps the entire AI community grow stronger.

In conclusion, private evaluations like those by Seal are crucial. They offer a fair way to measure AI performance. The current leaderboard shows a shift in top models. Mistro Large 2 is now a leader in coding. GPT 4.o is still strong but faces more competition. This is good for the future of AI. It ensures continuous improvement and responsible use.

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