$LA Lagrange has been doing a lot of interesting things lately. You probably know about Gemma3 from Google… Gemma3 is the next-generation AI model created by Google that operates more intelligently with fewer parameters (like brain cells). It’s fast and highly accurate, but quite different from the existing GPT structure. For example: - GQA (Grouped Query Attention): Instead of solving the same problem multiple times, it shares answers. -> Increases computational efficiency. - Local + Global Attention: Distinguishes between nearby words as local and distant ones as global to focus. -> Reduces unnecessary calculations. - RoPE (Rotary Positional Encoding): Represents word order with simple rotation values instead of complex matrices. -> Increases efficiency in handling long contexts. - RMSNorm, GeGLU: Changes the rules and response methods of how the brain organizes thoughts. -> Increases stability and accuracy. However, with such structural changes, it becomes much harder to prove whether "this model has calculated correctly." Usually, results come out like a black box, so you have no choice but to trust it, but proving this is the key point. Lagrange's DeepProve extends this to Gemma3. - Can prove complex attention masks. - Can handle new positional encodings like RoPE. - Modularizes RMSNorm/GeGLU for proof. -> It has become possible to mathematically prove that even the latest AI architectures produce "correct outputs." Why is this important? From a developer's perspective, there's no issue of "unverifiable" problems even when using the latest structures. From a corporate perspective, regulatory and trust issues keep pace with innovation. From a societal perspective, the smarter AI becomes, the safer it is. In the future, the competitiveness of AI may not be about "how many parameters it has" but rather about [whether it can be proven]. —— So what about $LA? It may not react to the token immediately, but it is positive in terms of actual revenue connection, partnerships, and ecosystem expansion. Last time I saw the Lagrange news, I thought it was interesting and the chart looked good, and this time the chart is quite stable… Should I place a bet?