Myriad Heavens: Rise of the Rune God-Chapter 121: The Launch Event - Part 2

{Author Note: This message is specifically for my number one fan, aaaninja, and the rest of you guys that were anticipating the mass release, I am sorry aaaninja the mass release will have to be postponed, as I haven’t written a single Chapter since then, the current stockpiled Chapters will still update daily till the end of this month. Am so sorry, I was busy with another novel, Infinite Ascension: 100000x Amplified, It’s very hard writing 2-3 novels at the same time, and my ADHD isn’t helping, I can only focus on one for now. I am very sorry, I promise to make it up to you.}

Dr. Sully opened programs with her mind. Selected tools. Adjusted parameters. "The response time is instant. There’s no lag between thought and action."

"The system runs at 99.8% accuracy after calibration," Cassia explained. "And it includes AR functionality. Dr. Zhao, think the command ’enable AR overlay.’"

Dr. Zhao did. His eyes widened in surprise. "There are holographic displays appearing in my vision. Floating windows. Three-dimensional diagrams. But the audience can’t see them?"

"Correct. The AR displays are visible only to you. But we can project what you’re seeing onto the main screen for demonstration." Cassia said.

The main holographic display split into five sections. Each one showed what one of the scientists was seeing through their AR interface—floating menus, data windows, three-dimensional models.

The audience could see everything the researchers were experiencing.

A woman in the back stood up. "This is fake. It has to be. You’re just showing us pre-recorded content."

Dr. Tanaka heard her. Turned to face the audience. "I assure you, this is real. I’m thinking of random things right now. Watch."

On his section of the screen, text appeared: The quick brown fox jumps over the lazy dog. Testing testing. 1 2 3. This is Dr. Yuki Tanaka typing with my thoughts and I cannot believe this is actually working. Now woman at the back do you believe

He looked amazed. "I just thought those words, and they appeared instantly."

Dr. Sully added, "This changes everything. If we can control computers with thought, the speed of work increases exponentially. No typing. No clicking. Just pure thought-speed operation."

Cassia let them experiment for a few more minutes. The audience watched in stunned silence as five world-class researchers played with technology that shouldn’t exist.

Finally, Cassia spoke. "Alright. Now that you’re comfortable with the BCI, let’s get to work. I want you to design a new transistor architecture. The Starr Simulator is already loaded on your workstations. Your personal AI - SSAI (Starr Simulation Artificial Intelligence) will guide you through the process."

Dr. Zhao looked at his colleagues. "Should we at least try to set up a basic framework? Decide on an approach?"

"Import current state-of-the-art architecture first," The SSAI suggested. "We’ll use that as a baseline."

Dr. Sue thought the command. A complex 3D model appeared on all five screens—a modern 2-nanometer transistor design. Gate-all-around nanosheet architecture. The kind of cutting-edge technology that took TSMC years to develop.

"Baseline loaded," SSAI announced. "Now, let me introduce to you my AI assistant feature."

A new window appeared on each scientist’s screen. A friendly interface with a simple greeting: Hello, Dr. [Morr, Zhao, Sully, Okafor and Yuki]. I’m your AI research assistant. How can I help accelerate your work today?

Dr. Morr cautiously thought a question: Can you suggest improvements to the current transistor design?

The AI responded immediately, text appearing in his interface: Yes. I’ve analyzed the current design and identified seventeen potential optimization vectors. The most promising approaches involve:

1) Modified gate material composition for reduced electron scattering.

2) Optimized channel geometry for improved carrier mobility.

3) Alternative contact metal configurations for lower resistance.

Would you like detailed analysis on any of these options?

Dr. Morr’s jaw dropped. "It just... suggested actual research directions. Specific, technical directions that we have been battling with in the lab."

Dr. Tanaka tried his own question: What gate material do you recommend?

Based on current research and my simulations, a hafnium-zirconium oxide composite with 23% zirconium content would provide optimal results. I can show you the atomic structure and simulate its performance if you’d like.

"It’s giving us exact ratios," Dr. Tanaka said. "Normally we’d spend months testing different compositions."

Dr. Sue thought skeptically: How do you know this composition is optimal?

I ran 10,000 simulations testing different zirconium ratios from 0% to 50% in 0.5% increments. Each simulation modeled quantum-level electron behavior, thermal characteristics, and long-term stability. The 23% composition showed the best balance of performance and manufacturability. Would you like to see the data?

A graph appeared, showing performance curves across all tested compositions. The peak was clearly at 23%.

Dr. Sue stared. "That would take our lab computers weeks to calculate. It claims to have done it in... how long?"

"The simulation completed in approximately 47 seconds," Rene said. "The Simulator runs on dedicated quantum-accelerated hardware at Starr Labs."

The five scientists looked at each other. Understanding was dawning.

This wasn’t just presentation software. This was real. Functional. Revolutionary.

Dr. Okafor spoke aloud, forgetting she could just think. "Let’s test it. Implement the AI’s suggestions and see if they actually improve performance."

They got to work.

AUDIENCE PERSPECTIVE

Marcus Webb was narrating rapidly into his camera. "Folks, I don’t know how to convey what we’re watching. Five of the world’s leading chip designers are working together using thought-controlled computers and an AI that’s suggesting research directions they’re actually implementing. This is happening live. This is real. We are witnessing history."

The main screen showed their progress. The scientists were modifying the transistor design in real-time. The AI assisted constantly—suggesting modifications, running simulations, checking calculations.

When Dr. Zhao tried an approach that wouldn’t work, the AI immediately flagged it: This configuration will increase electron tunneling by 34%, reducing reliability.

Suggested alternative: rotate the gate structure 15 degrees and reduce oxide thickness by 0.3 nanometers.

Dr. Zhao implemented the suggestion. The simulation showed immediate improvement.

"It’s like having a hundred expert consultants available instantly," Dr. Zhao said, audible through his microphone. "Every question answered. Every simulation run. Every calculation verified."

Dr. Sue was visibly impressed now. "I’ve worked in this field for twenty years. This AI knows things I would’ve had to look up in research papers. It’s citing sources, showing atomic-level models, explaining quantum effects. How is this possible?"

"Machine learning on massive datasets," SSAI explained herself. "I have been trained on every published semiconductor research paper, patent filing, and experimental result from the past fifty years. I have comprehensive knowledge and can apply that knowledge intelligently."

The work continued. The audience watched, enthralled, as the transistor design evolved. The scientists worked in remarkable synchronization—the BCI allowed them to share data instantly, see each other’s work in real-time, communicate through thought alone.

Thirty minutes passed. Forty-five.

Finally, Dr. Tanaka sat back. "I think we’re done. The design is optimized."

On screen, a new transistor architecture rotated slowly. Visibly different from the baseline. More elegant. More efficient.

"Run the full simulation," Dr. Sue suggested.

The AI compiled everything. Loading bars appeared. Then: results.

Performance Analysis:

Switching speed: 312% faster than baseline

Power consumption: 67% lower than baseline

Heat generation: 71% lower than baseline

Electron mobility: 340% improvement

Manufacturing complexity: Comparable to current process

Estimated yield rate: 94%

The hall went completely silent.

Dr. Zhao was staring at the results. "This is... this is better than anything we have in production. This is better than anything in our research pipeline."

"It can’t be right," Dr. Morr said. "Triple the performance? This seems too good."

"Verify it," Cassia suggested. "Use your own simulation tools."

Dr. Sue pulled out her tablet. "I have access to TSMC’s servers. Give me the design file."

SSAI transferred the data. Dr. Sue uploaded it to TSMC’s Synopsys simulation tools—industry-standard software used to verify chip designs.

"This will take about twenty minutes," she said.

Cassia smiled. "While we wait, let’s talk about what you just experienced. Dr. Okafor, you work at our lab. How does the Simulator compare to traditional research tools?"

Dr. Okafor seemed to collect her thoughts. "It’s not even comparable. In traditional research, you spend weeks setting up experiments, days waiting for results, months analyzing data. The Simulator compressed all of that into minutes. And the AI assistant—it’s like having the world’s best research advisor available 24/7."

"Dr. Zhao?" Cassia prompted.

"I’m skeptical by nature," he said slowly. "I don’t trust new technology easily. But what I just experienced—the BCI, the AI, the Simulator—it all worked exactly as advertised. If these tools become widely available, research timelines compress dramatically. What took years might take months. What took months might take weeks or even days."

"Dr. Tanaka, your thoughts?"

"I want access to this immediately," he said bluntly. "Samsung would pay billions for this capability."

The audience laughed.

Cassia smiled. "We’re not selling exclusive access. The Simulator is available to everyone. Free."

Shocked silence.

"Free?" someone shouted from the audience.

"The Aether OS and Simulator are both free," Cassia confirmed. "You’ve already downloaded them. You already have access. The only cost is the optional AI assistant subscription—10 credits per month for premium features."

Dr. Sue’s tablet beeped. She looked down. Her eyes widened.

"The results are in," she said quietly.

Everyone waited.

"TSMC’s simulation confirms the performance numbers. Our tools show..." She looked up at the audience. "They show 311% performance improvement. The Simulator was accurate to within 0.2%."

The hall erupted.

People stood up. Applause thundered. Cameras flashed continuously. Marcus Webb was shouting into his microphone, "THIS IS REAL! THE SIMULATION WAS ACCURATE! STARR TECHNOLOGIES JUST PROVED THEIR SIMULATOR WORKS!"

On stage, the five scientists looked stunned.

Cassia waited for the noise to die down. It took several minutes.

Finally, she spoke. "Dr. Sue, TSMC is welcome to manufacture this design. We’re releasing it as open-source. A gift to the semiconductor industry."

More applause.

"But there’s something else you should know about the Simulator," Cassia continued. "The AI you just worked with? It keeps improving. Every experiment run through the Simulator, every question asked, every problem solved—the AI learns from all of it. The more people use it, the smarter it gets."

She paused for emphasis. "There is one condition, though. Any breakthroughs achieved using the Simulator—any patents filed, any discoveries made—Starr Technologies receives 20% of licensing fees. It’s in the terms and conditions. If you feel that’s unfair, you’re free not to use the software."

Murmurs rippled through the crowd. Some people looked unhappy.

"But consider this," Cassia said. "Without the Simulator, many breakthroughs would never happen. Research that’s currently impossible becomes possible. Discoveries that would take decades happen in months. Is 20% of something better than 100% of nothing?"

Dr. Zhao nodded slowly. "It’s a fair deal. If this tool helps me make a discovery I couldn’t make otherwise, Starr Technologies deserves a share."

"One more thing," Cassia added. "The AI monitors for duplicate research. If it detects that multiple researchers are working on the same problem using our platform, it will notify them and suggest collaboration. You’ll be able to link up using the Starr AR and VR systems—which I’ll introduce in a moment—to work together remotely. This prevents wasted effort and accelerates progress even further."

She smiled at the audience. "Questions before we move on?"

Dozens of hands shot up.

This was going to be a long night.

But it was going well.

BACKSTAGE CONTROL ROOM

Orion watched the monitor feeds. The audience was engaged. The scientists were convinced. The demonstration had worked perfectly.

"Phase one successful," Rene said through his earbuds. "Public reception is overwhelmingly positive. Social media sentiment analysis shows 94% approval rating. The #StarrSimulator hashtag is already trending globally."

"Good. Is everything ready for the VR demonstration?"

"Yes. The five gamers are in the green room. VR headsets are calibrated. Game environment is loaded. We can begin whenever Cassia is ready."

Orion nodded. "Tell her to take a fifteen-minute break. Let people process what they just saw. Then we’ll hit them with full-dive VR."

"Understood."

On screen, Cassia was answering questions. Handling them smoothly, confidently. She was a natural at this.

Orion felt proud.

His mother had gone from systems analyst to CEO of the most important tech company on Earth in less than a month. And she was thriving.

The future was unfolding exactly as planned.