A reminder to female friends: many of today's new energy vehicles are equipped with sentry mode, so please be mindful of your behavior and avoid becoming a target (examples below).

It feels like a few years ago, everyone was still discussing how powerful AI models are, accuracy rates, test scores, etc. But now most have already surpassed those benchmarks. If AI is going to participate in markets in the future, relying solely on these test data is actually insufficient.

Looking at @inference_labs' data, their TruthTensor has already spawned over 1.1 million AI agents. These AIs aren't just taking tests; they're operating in an environment with rewards and feedback mechanisms.

Information is constantly changing, AI behavior is influenced by rewards, and immediately after making decisions, results feedback is generated.

The purpose is actually quite straightforward—to see how AI performs in real economic environments.

Because if AI truly participates in trading, market analysis, or decision-making in the future, you can't just look at model test scores; you also need to see its performance in real environments.

So systems like TruthTensor essentially put AI into real environments to run it, seeing how it performs under pressure. Only this way can you more authentically evaluate AI's capabilities.

#InferenceLabs @inference_labs