bullyxtreme Chapter 118 Fusion Trial
Chapter 118 Fusion Trial
At 11 p.m., the lights in office 402 were still on.
Shen Yiming and Fang Ze had already gone back. Zuo Cheng sat alone at his workstation, the screen displaying the current model's compression report. He had looked at the numbers no less than twenty times, and each time it showed 89.3%.
He didn't continue reading and closed the report document.
In my mind, the system panel floated silently.
Technological integration: Ready.
The three leaf icons are displayed in light color on the panel: Hyperparameter Auto-Optimization, Model Compression Optimization, and Edge AI Inference. Each one represents an individual technical skill, earned through points and time investment.
Now, he's going to put them all in the same container and see what happens.
Zuo Cheng took a deep breath and activated the technology integration selection interface in his mind.
[Technology Integration] Please select the leaves to participate in the integration (at least two).
He selected the following in order: automatic hyperparameter optimization, model compression optimization, and edge AI inference.
The moment the three leaves were selected, a countdown appeared on the screen—three seconds.
One.
Zuo Cheng closed his eyes.
In those three seconds, he didn't think about anything. Not because his mind was calm, but because he had been thinking about it all night, calculating everything he could. The bet was placed; the rest was up to the system.
two.
He recalled Shen Yiming's words: "89.3% and 90% may seem like only a 0.7 percentage point difference, but they represent two orders of magnitude of difficulty." Technically true, mathematically true, but the world is not just about technology and mathematics.
three.
[Integration Complete]
Zuo Cheng opened his eyes.
[Gaining New Leaves: Adaptive Neural Network Compiler]
Capability Description: Automatically compiles and optimizes neural network models on edge devices, intelligently allocates computing tasks, improves efficiency by 1.5 times, and provides an additional 8% gain in accuracy.
Current score: 257 points.
Zuo Cheng stared at the line of text for five seconds without moving.
57分。不对，应该是257分，262减去5等于257分。
Adaptive neural network compiler.
他在脑子里快速算了一遍：现有动态精度量化方案準确率89.3%，新叶片额外增益+8%，89.3加8等于97.3。
97.3%.
It far exceeds the target of 95%.
Zuo Cheng leaned back in his chair and let out a long sigh. He had been holding his breath for four whole days, starting when the plan was stuck at 68%, going through three all-nighters, thirteen optimization strategies, and one system scan, and now he could finally let it out.
He didn't immediately run the tests. First, he mentally reviewed the entire technical path to confirm whether the effect of the fused blades could cover the current pain points.
The core of an adaptive neural network compiler is "automatic compilation"—it doesn't just optimize parameters on the model, but rather reinterprets the model's computational graph and generates optimal executable code for the target hardware. This process is akin to performing surgery on the model, cutting away redundant computational pathways and retaining the most efficient information flow.
On edge devices, computing power is fixed, but the model is dynamic. This blade maximizes the compatibility between the two.
This is the fundamental reason why 89.3% of optimizations failed to break through: previous optimizations focused on the model level without addressing the compilation layer. The adaptive neural network compiler directly breaks down the barrier between the model and the hardware.
More importantly, it's not a one-time optimization. With each model iteration, the compiler re-analyzes the characteristics of the target hardware and automatically generates the optimal version for the current hardware. This means that as subsequent satellite batches change, the 402 scheme can adapt accordingly without requiring additional manual parameter tuning.
This is true "intelligence," not an effect achieved by piling on more parameters, but rather understanding the hardware, understanding the task, and then making judgments.
Zuo Cheng stood up, walked to the test machine, and applied the capabilities of the new blades to the current model.
Loading, compiling, reasoning, and verifying.
The entire process took less than five minutes. A system log popped up:
Accuracy: 97.1%
Power consumption: 4.2 watts
Response latency: 11 milliseconds
Zuo Cheng stared at the numbers on the screen, a quiet light in his eyes. It wasn't the kind of uncontrollable excitement one feels upon seeing something surprising, but rather a calm that comes from deep confirmation, like a problem whose answer you've already calculated finally receiving confirmation that matches your calculation exactly.
97.1%.
4.2 watts, within the 5-watt power consumption limit.
The response latency is 11 milliseconds, which is better than the 15 milliseconds required by the Tianqiong Phase IV project.
All indicators met the standards.
He took a screenshot, saved it to his phone's photo album, and then sent Shen Yiming a message: "Good news tomorrow morning, let me know when you arrive."
After sending the report, I turned my phone upside down on the table, reopened the test report, and started checking it line by line. This habit was formed during my university days—even good news needs to be verified; data doesn't become more reliable just because you're happy.
After verification, all values are completely consistent with expectations, and there are no anomalies.
Zuo Cheng closed the report and leaned back in his chair, thinking for a moment. The effect of this fusion blade exceeded expectations, but it did not exceed his judgment. The three blades were all pointing in the same direction, all pointing to "improving the efficiency of edge AI." The combined force after fusion was greater than the sum of the individual blades; this was the underlying logic of technological integration.
What he can confirm now is that the technical solution is valid, the accuracy rate meets the standard, the power consumption meets the standard, and the latency meets the standard.
There was only one problem left: how to explain to Shen Yiming and Fang Ze how this breakthrough came about.
Zuo Cheng closed the report, stood up from his workstation, and stretched. A soft click came from his back—the price of four consecutive days of intense work.
A cleaning lady was pushing a cart down the hallway. She saw him and paused, then said, "Xiao Zuo, aren't you leaving yet?"
"Soon," Zuo Cheng said.
He put on his coat, casually turned off the light at his workstation, and stood in the hallway for a second. The lights were still on in the rest of the office, and a few engineers were still there; they didn't know what had happened that night, nor did they need to know.
They will see the test results tomorrow.
Zuo Cheng walked towards the exit, pushed open the door, and was greeted by a night breeze carrying the unique chill of late autumn. He didn't call a taxi, but instead walked down the corridor, mentally reviewing tomorrow's arrangements: tell Shen Yiming in the morning to complete the full process verification, organize the technical documentation, and submit the proposal the day after tomorrow.
Three days is enough.
The streetlight at the entrance of the building cast a long shadow of his as he moved forward step by step on the ground, his movements steady and methodical, like someone who already knew where the destination was and was walking slowly and deliberately.
When Shen Yiming sees the results tomorrow, he will definitely ask, "How did you do that?"
Zuo Cheng had already thought of his answer: "A new algorithm idea, the test just happened to run successfully. Simple, effective, no further explanation needed."