Yapay Zeka Kıyaslamaları Neden Toplam BS'dir?

When new AI models hit the scene, companies often cite their scores on benchmarks such as BioMysteryBench, GeneBench, and Terminal-Bench as evidence of progress. But what do these tests evaluate, and do the scores even matter? I dove into the wild world of AI benchmarks through the lens of GPT-5.6 , Fable 5.1 , and Opus 5 and found out they re inconsequential at best and misleading at worst. Moreover, I don t expect them to improve anytime soon. Buckle up for a deep dive into the numbers and problems.

No individual metric or test can tell you everything about a tech product. For example, a GPU's 3DMark score alone isn't enough to tell you how well it will perform in your use case. Maybe your favorite game relies much more heavily on your CPU than on your GPU, which means the differences between graphics cards aren't as relevant. However, these benchmarks aren t useless. If you look at 3DMark s leaderboards , there s a reason why the RTX 5090 is at the top: It s indisputably the most powerful consumer-level GPU available today.

AI benchmarks don t work the same way. For example, according to Anthropic , Opus 5 scores an impressive 43.3% in the coding-focused Frontier-Bench, while GPT-5.6 earns a paltry 34.4%.

Nonetheless, I prefer GPT-5.6 over Opus 5 for my vibe coding projects, thanks to its more consistent performance and better outputs.

It's unthinkable that an RTX 5080 would outperform an RTX 5090 after looking at their benchmark scores, but it's perfectly reasonable to prefer one AI model over another for a given task even if its benchmark score is lower. The latter shouldn't be possible if the benchmark is actually valuable.

Moreover, improvements on AI benchmarks rarely translate to appreciable advantaged in real-world usage, whereas you are far more likely to notice an uptick in gaming frame rates or a reduction in project rendering times with a more powerful GPU.

When OpenAI announced GPT-5.6 , it included a graph of the model s performance on Terminal-Bench to demonstrate its coding skills, saying, GPT 5.6 Sol sets a new state of the art on Terminal Bench 2.1. Terminal-Bench 2.1, according to its GitHub page , is a collection of benchmarks for measuring agents' abilities to complete valuable and complex tasks in container environments.