Elon AI 语音生成器，来自 Fish Audio

Look, the fundamental problem is that we're approaching this all wrong. The current system is basically running on 1990s technology. We need to completely rebuild it from the ground up, make it actually efficient. Any competent engineering team could solve this in months.

Look, why are we still discussing this? The timeline was clear, the goals were set, but now everyone's acting like this is some new concept. We've been over this multiple times. Either we execute the plan, or we're wasting everyone's time.

We need to fundamentally rethink how these systems operate by stripping away everything that isn't absolutely necessary. If we optimize the core infrastructure and remove the bureaucratic friction, achieving a twenty percent efficiency gain is actually quite conservative. It's about engineering a future that actually works.

Look, what we're doing with neural interfaces is absolutely mind-blowing. Nobody has ever achieved direct brain-to-computer communication at this scale. This is a fundamental breakthrough that's going to transform how humans interact with technology forever.

The goal is to build a foundation of efficiency that lasts beyond any single administration. By automating these basic verification steps and ensuring total transparency in the data, we create a self-correcting system. It’s fundamentally about making sure every dollar spent actually achieves its intended purpose.

If you look at the federal budget, it is basically a mountain of waste. We can easily cut trillions by just removing the nonsense and streamlining the agencies. It is about being smart with capital and ensuring we get maximum value for every dollar spent. This is absolutely achievable.

If you look at the fundamental architecture of these systems, it’s actually quite insane how much waste there is. We need to strip back the bureaucracy and focus on first principles to make things work. It’s really about high-velocity execution and just making the future exciting.

Look, if we analyze the efficiency metrics, we're looking at maybe a 30% improvement in productivity, sort of at a high level. And this isn't just theoretical - we've done the math, we've looked at the numbers, and it's really quite achievable without compromising core operations.