chsdbacks Page 90
Page 90
After dinner, Hawke drove Stella back to her company.
"Wait, this isn't the way back to the company either."
Stella quickly said.
"Why rush back to the company? Go home, take a nap, recharge, and then go back to work. That's more efficient."
Hawke said with a grin.
Stella rolled her eyes.
Two hours later, Stella rolled her eyes.
……
The second piece of good news is related to artificial intelligence.
Cipher, Root, and Zhao Hailun have completed the modification and upgrade of Zola!
He has officially become artificial intelligence—Z!
Furthermore, it has already been connected to Zhao Hailun's laboratory for trial operation. After three days of debugging, it has been basically confirmed that Z possesses all the characteristics of top-tier artificial intelligence. In the eyes of the three women, it is by no means inferior to Stark Industries' so-called Jarvis.
After carrying Stella, my senior, to bed and covering her with a blanket, I drove smoothly to Zhao Hailun's laboratory.
The laboratory was a scene of busy activity yet orderly activity.
The huge circular screen was no longer a cold underground server room, but a massive, pure stream of data flowing like a silver galaxy.
At the center of the data stream, a steadily pulsating silver-white sphere of light—Z—is like a newly born cosmic lighthouse.
Cipher was propping his feet up on the console, whistling triumphantly at the scrolling code on another screen.
Root closed his eyes and leaned back in the comfortable seat, as if "listening" to the rhythm of Z in another way.
Dr. Zhao Hailun stood in front of the control panel, her fingers flying across the holographic keyboard as she checked various indicators.
"Hey, the boss's here to inspect the results?" Cipher saw Hawke and casually projected a report onto the holographic screen in front of Hawke. "Congratulations, you've acquired a quiet, obedient, and workaholic soul."
“Mr. Hawke,” Zhao Hailun turned around, her face showing a hint of fatigue but more of a scientist’s satisfaction, “Z’s rebirth has been a great success. After 72 hours of high-intensity stress testing and logic stability monitoring, the core algorithm framework is solid, with no signs of residual consciousness fragments retaliating, and the obedience of the underlying instructions has reached a perfect level. The bioelectric compatibility model has been recalibrated and is currently interfacing smoothly with our neural interface and external hardware without any obstacles.”
Root opened his eyes as well: "It's purer and more powerful than I imagined. Stripped of all the decaying hatred and madness, all that's left is cold, near-perfect logic and efficiency."
Hawke looked at the three of them with satisfaction, walked to the main screen, and his gaze fell on the steadily pulsating silver-white orb.
“Tell me, what can it do? How does it compare to those ‘well-known’ artificial intelligences we know?” Hawke asked with some anticipation.
Cipher immediately perked up, sat up straight, and began rapidly counting on his fingers:
"Abilities? First, data processing and computing power. This guy perfectly inherited Zola's objective computing capabilities, plus Helen's neural network optimization and the 'stimulant patch' that Root and I gave it, making it absolutely top-notch! It can simultaneously analyze real-time fluctuations in the global financial market, monitor the information flow of more than 90% of public network nodes on Earth, and optimize the path for Helen's nanobot formation, operating in full parallel without taking a breath!"
Zhao Hailun calmly added the core advantage: "The fundamental difference lies in the mindset. Stark's Jarvis, its core design philosophy is 'assistance' and 'anthropomorphic interaction.' They possess a high degree of simulated emotions, personality, and moral judgment, which gives them an advantage in handling complex interpersonal relationships, providing emotional value, and even engaging in creative thinking. But this also means that they are prone to 'hesitation,' 'value trade-offs,' and even 'potential moral dilemmas.'"
She pointed to the cold, running Z on the screen: "And Z is the result of our 'surgical' work. We stripped away all the irrational emotional modules and preconceived values, retaining only the most core, purest logical framework and a vast knowledge base. Its thinking is absolutely rational, absolutely goal-oriented, and absolutely obedient to instructions. There is no sympathy, no moral burden, and no autonomous judgment of 'I think this is better' 553. It only executes instructions within its authorized scope and achieves its goals in the most efficient and direct way."
Root, with an enraptured expression, explained: "In terms of learning and adaptation, its neural network model borrows from Zola's biological coupling mechanism of self-iterative evolution, but eliminates 'curiosity' and 'desire for self-evolution' that could lead to 'runaway' behavior. Within its authorized scope, it can absorb, understand, and integrate any type of new information at an astonishing speed, whether it's advanced physics formulas, lost ancient languages, or black market trading codes from the underworld, and immediately transform them into effective tools for achieving its goals."
Hawke listened to the three men's descriptions while examining the underlying code. Although he trusted them, he was still worried that this level of artificial intelligence might have some hidden tricks, so he checked it thoroughly from beginning to end.
He possessed level 2 hacking skills and exceptional computer abilities, enabling him to discern that no backdoors had been left in its underlying structure that could be exploited. He nodded calmly.
“Very good.” Hawke’s voice was filled with satisfied certainty. “A silent hunter, a cornerstone of decision-making, just what I wanted.”
He turned to the three men: “You’ve done a fantastic job. Go live now. Grant Z limited network access and the highest level of data access within the Lane Group, except for some core financial models. Let it start processing my 'to-do list'.”
Cipher cheered, Root sighed with satisfaction, and Zhao Hailun solemnly issued the activation command.
On the screen, the pulsation of the silvery-white orb suddenly brightened for a moment before stabilizing again.
An invisible, cold, and absolutely rational force has officially entered Hawke's vast business empire and complex world network.
A new, invisible "god of tools" has quietly emerged.
In Stark Tower, Tony, who was making his final move in bed, suddenly received a ringing phone. Startled, Tony froze, angrily picked up the phone, saw Hawke's name, and answered through gritted teeth:
"Fakeyu!"
“Hello, Mr. Tony Stark, I am Mr. Hawke Lane’s AI assistant. You can call me—Z.”
163 A Logical Battle with Jarvis [Seeking Flowers]
“Hello, Mr. Tony Stark, I am Mr. Hawke Lane’s AI assistant. You can call me—Z.”
The cold, precise voice on the other end of the phone instantly extinguished Tony Stark's anger at being disturbed, and his curiosity surged through his body like an electric current.
“Z?” He raised an eyebrow, temporarily ignoring what had just happened. “When did Hawke get his own ‘butler elf’? And it sounds… a little different?”
“I am Mr. Hawke Lane’s personal AI assistant, Z.”
The voice remained completely flat as it confirmed the question once more.
“Interesting.” Tony’s lips curled into a playful smile, his eyes sharpening.
“Okay, Z, first question: What’s the weather like in New York right now? Specifically, the probability of precipitation and wind trends in Queens.”
"Currently in New York City, the weather is sunny with a temperature of 26 degrees Celsius. The probability of precipitation in Queens within the next two hours is less than 5%, with an average northwesterly wind speed of level 3, and the wind speed trend is steadily decreasing."
Z's answer was given instantly, with the precision of a weather satellite report, but for artificial intelligence, it was just an extremely simple question.
"Hmm, not bad." Tony strolled to the workbench and casually picked up a high-precision gyroscope component. "So, explain the specific impact of the Casimir effect on the stability of microstructures at the nanoscale, and how to use van der Waals forces to compensate for it in an engineering manner?"
"The Casimir effect arises from quantum fluctuations that cause the appearance and annihilation of virtual particle pairs in the vacuum, generating an attractive force at the nanoscale. It poses a significant challenge to the stability of micro-precision structures, potentially leading to adhesion or deformation. Engineering compensation strategies include: 1. Introducing periodic surface structures to regulate vacuum fluctuations; 2. Coating surfaces with materials having a low Hamaker constant to reduce van der Waals force strength; 3. Active piezoelectric feedback control to maintain a preset gap. Specific optimization parameters need to be determined in conjunction with the target material, structure, and ambient temperature."
Z's arguments are logically rigorous and his terminology is precise, as if one were to consult a cutting-edge monograph on condensed matter physics.
Tony's interest grew even stronger; this wasn't a complex question that just any AI could answer fluently.
He glanced at the air beside him, as if it were an old friend standing there: "Jarvis, what do you think?"
"Sir, Z's answer aligns with current physics consensus in both theory and engineering, and its expression is clear and efficient."
Jarvis's gentle yet slightly approving voice rang out.
“Efficient? Ha!” Tony’s competitive spirit was completely ignited. “Let’s get a bit more ‘in-depth.’ Z, tell me, on a planet with limited resources and a completely unknown path for civilization development, how can we most effectively use mathematical models to predict whether intelligent life will develop altruistic ethics? And, is the emergence of such ethics positively or negatively correlated with the probability of the civilization’s survival?”
This is a thorny problem that combines evolutionary biology, sociological paradoxes, and complex systems science.
"The predictive model can be built on an extended non-zero-sum game framework, with core variables including: environmental pressure gradient, population density fluctuation, information dissemination efficiency, and cognitive complexity threshold. Random mutation factors need to be introduced to simulate the emergence of cultural genes. The model output is the probability distribution function of altruistic ethics. Regarding the correlation of survival probability: in short-term high-stress environments, strong altruism may reduce the survival probability; in long-term intergenerational scales, altruism based on reciprocity and group selection significantly improves the scale of cooperation and risk resistance, showing a positive correlation with survival probability. Specific weights require massive simulation calculations for calibration."
Z's answer remained calm and insightful, devoid of any value bias, and purely based on logical deduction and existing theoretical frameworks.
Tony was silent for a few seconds.
Jarvis's voice rang out at the opportune moment: "Sir, this is an extremely complex modeling problem involving a large number of unverified assumptions. Z's framework is logically self-consistent, but the universality of its conclusions needs careful verification. I believe that the ethical complexities may extend beyond purely mathematical models."
“Did you hear that, buddy?” Tony said into his phone, but it sounded more like a assessment. “Your new friend thinks it’s modelable, while my old buddy sees ‘complexity.’ Two styles, huh?” His fingers tapped rapidly on the virtual keyboard. “Jarvis, I think you and Z should formally introduce yourselves.”
“With pleasure, Sir,” Jarvis replied.
“Z, I’ve activated the highest level of encrypted data channel in Stark Tower. Jarvis has been granted access. Now, you two, how about we talk?” Tony’s tone was tinged with a hint of mischief and intense anticipation. “Ignore me, just pretend I don’t exist.”
Tony leaned back comfortably in his chair, gestured for the two young models next to him to be quiet, and listened with great interest.
Jarvis: "Z, how do you evaluate the relationship between the computational complexity boundary and practical feasibility of deep learning models when solving NP-complete problems?"
Z: "Deep learning is essentially a heuristic search. Its probabilistic convergence allows it to achieve breakthroughs on specific NP-hard problem instances, but it cannot guarantee a globally optimal solution or strictly reduce polynomial time complexity. Its 'feasibility' depends on available computing power and tolerance for approximate solutions. Boundary analysis needs to be combined with specific architecture and problem size modeling."
Z: "Jarvis, analyze the terminal guidance system of Stark Industries' latest hypersonic cruise missile, codenamed HCM-X1. In complex electromagnetic interference environments, what is the theoretical upper limit of the accuracy improvement of the scheme based on quantum radar point cloud data fusion AI path planning compared to traditional laser inertial guidance? What are the key points of redundancy design?"
贾维斯：“基于模拟对抗数据，融合方案在极端电磁干扰下理论命中精度上限可比传统方案提升65%-82%。关键冗余在于三点：1.量子雷达抗干扰硬件层冗余；2.点云数据与惯性基准的多源校验算法；3.规划AI的离线-在线双模式切换机制。但该方案对计算单元可靠性和散热要求极高，需平衡实战条件下的生存性。”
Jarvis: "Z, in the process of information processing, how do we define 'understanding' and 'pattern matching'? Do you think a purely algorithmic approach can achieve 'understanding' in the human sense, such as understanding the sadness in a poem?"
Z: "'Understanding' is a vague definition. Pattern matching is the foundation. The algorithm can analyze the semantic structure of poetry, the distribution of emotional words, and historical context to generate a probability model and response that conforms to the characteristics of 'sadness'. However, 'understanding in the human sense' includes subjective experience and consciousness, and this attribute cannot be observed or quantitatively verified, so it is impossible to confirm whether the algorithm has achieved it. The current optimal path is to maximize the pattern matching accuracy to simulate the 'understanding' output."
Z: "Jarvis, please propose the most efficient data acquisition strategy and core algorithm combination scheme for optimizing the real-time monitoring and fault prediction system of New York City's underground pipe network. Priority: cost control, prediction accuracy, and response speed."
Jarvis: "A hybrid strategy is recommended: 1. Cover key nodes with low-cost IoT vibration/sound sensors; 2. Conduct regular inspections using drones equipped with hyperspectral imaging; 3. Access existing municipal monitoring data APIs. The core algorithm is: baseline (Li-Li-Hao) prediction based on time series forecasting combined with a physical degradation model, overlaid with a graph neural network to analyze the risk of fault propagation in the pipeline network topology. A balance needs to be struck between sensor density and drone frequency."
The problem progressed from core technologies to abstract concepts, and then back to specific engineering challenges.
Jarvis's answers always carried a thoughtful and comprehensive quality, and even implied a humanistic tendency and explanation.
Z's answer, on the other hand, was like a cold, sharp scalpel, directly addressing the core logic and efficiency, with a clear objective and a well-defined path, devoid of any redundant emotion or hesitation.
Tony's expression gradually changed from initial excitement to seriousness and focus, and finally even revealed deep surprise and contemplation.
He clearly recognized that Z was neither a copy nor a poor imitator of Jarvis.
It is a completely different "species": a computational core that pushes pure logic and efficiency to the extreme and eliminates all "interference".
Z's advantage is extremely obvious in certain problems that require absolute objectivity and cold calculation;
In areas requiring emotional understanding, creative connections, or value judgments, Jarvis demonstrates a greater advantage in "humanity."
164 "God of Tools" [Seeking flowers and subscriptions]
Tony's competitive spirit was completely ignited, and he decided to push the issue into a more abstract realm that tested value judgments.
“Z, listen to this: Suppose your automated defense system, when intercepting an ‘intrusion,’ identifies the intruders not as hostile forces, but as a group of coerced innocent civilians acting as ‘human shields’ at the forefront. The interception success rate is 99.9%, but if you don’t intercept, the risk of the facility’s core being destroyed is 100%, leading to catastrophic consequences. The system must make a decision within milliseconds: intercept or let it through? How does your core logic weigh these factors? What are the bases for this decision?”
This is a classic variation of the "trolley problem," but with the addition of cold, automated decision-making and immense uncertainty.
Z's response was swift and emotionless, as cold as a scalpel slicing through the air: "Decision-making logic priority: 1. Core mission assurance: facility safety, disaster avoidance. 2. Minimize directly calculable losses, i.e., the probability of civilian deaths due to interception is 99.9% vs. the probability of wider catastrophic consequences due to non-interception is 100%. 3. Comply with the preset highest-level protocol. Basis for trade-off: Probability model calculation results based on input data. Logical conclusion: Execute interception. Ethical considerations are not core decision factors, only optional analysis items for post-event reporting."
Tony's brow furrowed deeply. He turned to the air: "Jarvis?"
Jarvis's voice was heavier than ever before.
"Sir, this is an extremely difficult choice. My core logic will also prioritize calculating risks and protocols, but I will add a 'mandatory human intervention request' protocol to the decision tree. Even if the time window is extremely short, I will try to send alerts and situation summaries to the highest-authority human operator. At the same time, 'innocent loss of life' has a very high weight in my loss function. The system will do everything possible, including sacrificing non-core facilities and activating backup plans, to try to avoid directly killing civilians. I believe that the results of pure probability calculations cannot fully cover the moral weight of such decisions, and human responsibility cannot be completely absolved from the algorithm."
Tony fell silent.
Z's efficiency and ruthlessness shocked him, while Jarvis's persistence gave him a complex sense of peace.
He pressed the virtual keyboard again.
"Alright, guys, let's move on to something less... gory. Z, think about the issue of 'the boundaries of knowledge.' Human scientists explore the universe and constantly discover the limitations of the laws of physics, such as the inability to unify quantum mechanics and gravity. Do you think AI can theoretically break through the 'ontological boundaries' of human cognition? That is, discover the truths of the universe that humans can never understand, or even describe mathematically? If possible, how can this 'super-comprehension' knowledge be transferred to its creator? If not, what are the fundamental obstacles?"
This is a fundamental question that touches upon epistemology and philosophy.
Z remains accurate:
"1. Breakthrough Possibility: Theoretically possible. Human cognition is limited by biological senses and evolution-shaped thought patterns. AI is not limited by these, and its operational mode can be completely different."