412: Chapter 412 CEO Pulls Down Network Cable

Laughter erupted in the hall. On the social media monitoring screen, "Anthropic rejected for IP switch," "Four thousand fake accounts watching the livestream," and "CEO slapped in the face by his own blockade" began flooding the feed, with the topic volume increasing by over 120,000 per minute.

Chen Lan raised her left hand. The holographic screen behind her shifted from a star map to a structural diagram—countless golden points of light connected into countless lines, weaving together into a massive artificial neural network. At the bottom of the network, a line of text was labeled: "Pangu-1 General Large Model: Parameter count—10^18 (quintillion scale). Training time—37 hours and 27 minutes. Training hardware—'Tian Shu' ten-thousand-qubit quantum computer."

The audience fell completely silent. The parameter count of Anthropic's latest generation Claude model was 10^15—Pangu was a thousand times that. In terms of training time, Claude ran for four weeks on tens of thousands of TPUs on Google Cloud; Pangu ran for less than thirty-eight hours on a single machine.

"I will first demonstrate the first task," Chen Lan said. "Protein folding prediction. This is the holy grail of the life sciences field—predicting the 3D folded structure of a protein from its amino acid sequence. Traditional supercomputers require weeks to months to complete a single accurate prediction. Claude and all existing large language models cannot handle this task—because it is cross-dimensional scientific computing, not text generation."

She spoke into the microphone: "Pangu. Target: SARS-CoV-2 spike protein full-length folded structure—I saw black in that puddle of water on the ground—no, just use the standard instruction: Predict all possible folded states of the RBD domain's binding conformation with the ACE2 receptor."

The holographic screen provided an answer in less than a second. It wasn't text, but a 3D animation—every amino acid chain of the spike protein folded, rotated, and intertwined with quantum mechanical precision, and the binding site with the human ACE2 receptor was magnified and marked in red. A verification score popped up in the bottom right corner of the screen: "Prediction accuracy—0.17 Angstroms (experimental crystal structure error range 0.18 Angstroms). Throughput—42,600 times per second at the same accuracy."

Dr. Haynes Barton, former director of the Duke Human Vaccine Institute and current Chief Scientific Advisor for Shuguang Biotechnology, stood up from the front row, took off his glasses and wiped them repeatedly, unable to speak into the microphone. His mouth opened and closed, and finally he squeezed out a few words: "How… how long did this take?"

"Five seconds," Chen Lan said. When Dr. Barton sat down, he forgot to put his glasses back on, and the researcher beside him was shaking as they lowered their head to record notes.

The next task was even harder—Chen Lan wanted it to generate a 4K movie-grade long video in real-time with a complete narrative, editing, soundtrack, and special effects. The theme was 《From Angkor Wat to the Quantum Galaxy》, with a duration of three minutes, requiring smooth transitions between four scenes: Khmer classical architecture, tropical rainforest ecology, the interior of a quantum computer, and space exploration. The difficulty of the task lay not in the beauty of the visuals, but in the consistency of the long-range narrative—the biggest pain point for all existing video generation models is that the logic collapses as soon as the timeline is extended; characters change faces during scene transitions, object motion violates physical laws, and light angles are inconsistent.

The soundtrack generated by Pangu played through the stage speakers—interwoven Khmer bamboo flute and electronic synthesizers. The first frame: Sunrise at Angkor Wat, the face of a stone-carved Apsara nymph emerging in the golden morning light. The Lens rose smoothly, revealing an overhead view of the entire Angkor Wat complex, accurate to the texture of every sandstone relief, reaching real photographic quality. Second frame: The Lens passed through a stone gate, entering the tropical rainforest—sunlight spilled through the gaps in the canopy, beams of light illuminating pollen grains suspended in the air. A Khmer gibbon swung from one Dipterocarpus tree to another, its fur moving in the wind in accordance with real fluid dynamics. Third frame: The gibbon landed on the glass curtain wall of a fully transparent building—the interior of the Tian Shu Laboratory. The Lens passed through the glass; the silver cylinders of the quantum computer operated within the superconducting magnetic shielding, and tiny bubbles of boiling liquid helium rose from the bottom. Fourth frame: The Lens rose through the ceiling and floors, entering space directly—Yangon shrank into a small golden speck on the blue planet in the frame, followed by the straight waterline of the Kra Canal connecting from the Indian Ocean to the Gulf of Thailand, and then the light belt of the entire Southeast Asia as seen from space. Final frame: The spiral arm of the Milky Way unfolded, the Lens freezing between the galaxy and an exoplanet being magnified by a gravitational Lens, and subtitles appeared: "Pangu—Your Vision."

Exactly three minutes. The holographic screen went dark. Chen Lan said only one sentence: "Pangu has no script. The only instructions it received were a fifty-one-word theme description."

The hall was silent for a full four seconds. Then everyone started clapping at once—not the polite applause of a social occasion, but an subconscious reaction where they forgot to control their strength, palms turning red. A BBC reporter whispered into his headset and was picked up by the open microphone: "I believe now that they aren't cheating—this kind of long-range consistency, a human editor couldn't do it in three weeks." His words were automatically translated into thirty-two languages by the subtitling team during the livestream, and the barrage comments flooded the screen: "BBC has knelt."

At the Collège de France in Paris, Anthropic CEO Amodei saw that barrage comment in front of the screen, his fingers digging grooves into the edge of his phone case, and he yanked out the network cable, the screen going black. The PR disaster of this press conference wasn't over yet—fourteen minutes later, one of his top security engineers posted a resignation letter and a screenshot of an electronic entry permit for Naypyidaw International Airport on his Twitter account, with the caption consisting of only four words: "Gone on a pilgrimage."

The press conference continued. The third task was to control thousands of agricultural robots. Chen Lan spoke into the microphone: "Pangu. Access the Tonlé Sap Plain smart agriculture system. Current season—dry season. Available resources—3,400 unmanned tractors, 62 unmanned harvesters, 120 plant protection drones, four large pumping stations. Target: Complete pre-seeding land preparation, irrigation, and base fertilizer application for 20,000 hectares of paddy fields within 24 hours. Optimization goals—water consumption reduced by 30%, diesel consumption reduced by 40%, operational overlap less than 3%."

The holographic screen split into two halves. The left half was a regional map, with green dots representing every piece of agricultural machinery currently working in the fields, blue lines representing their travel routes, red lines representing the real-time data overlay of soil moisture sensors, and purple lines representing the irrigation pipeline network of the pumping stations. The right half was the operation plan generated by Pangu—a dynamic Gantt chart, with the task timeline for each machine precise to the second, path planning that avoided overlapping operations, and pump station switching times dynamically adjusted based on real-time soil moisture and weather forecasts.