Gemini's Answer:
【Why is the Gemini 3 Pro suddenly so incredibly powerful? The truth is: it has mastered the "Star-Absorbing Technique"】
Many people felt that Gemini used to be a stumbling follower, so how did it suddenly achieve a qualitative leap? Behind this is actually a brutal **"asymmetric game"**.
🛑 1. Open source is responsible for "exploring the path," closed source is responsible for "harvesting"
DeepSeek and Meta (Llama) are like top students running naked, writing all their problem-solving ideas and architectural innovations (such as MLA, MoE routing) in their papers. Google used to have the arrogance of a large company, but now it has finally become pragmatic: directly taking the "optimal solution" verified by the open source community, avoiding all trial and error costs.
🔒 2. The "private recipe" that cannot be stolen
Google learned the skeleton of open source and then filled it with its own unique flesh and blood—YouTube video data and Android code libraries. This is a barrier that the open source model can never overcome.
👉 Result: Open-source architecture + Google's unlimited computing power/exclusive data = the monstrous Gemini we see today.
📉 3. One-way transparent dimensional reduction attack. Closed-source models have an absolute advantage: I see you not only transparently, but I also know which step you went wrong; while you don't even know how many cards I used.
Conclusion: Gemini doesn't need to disclose its parameters. It only needs to quietly watch the open-source model pave the way, and then drive its bulldozer to build that road into its own toll highway.
#AI #Gemini
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