Tuesday, May 11, 8:40 a.m.
Silicon Valley, on the West Coast of the United States.
Ryan, CEO of Nexus AI, pushed open the office door and strode inside.
Several employees standing in the hallway greeted him when they saw him approach. Ryan smiled back.
They could all tell their boss was in a good mood.
No, a great mood.
Ryan had two meetings today, one internal and one external.
Both were important.
He entered his office and turned on his computer, intending to review the key figures one more time before the meetings.
Nexus AI had gotten a relatively late start, and its user base and market share had always lagged behind OpenAI's. To pull ahead in this AI race, it had to find a different route.
The company had discussed plenty of directions internally.
Over everyone's objections, Ryan had chosen the least favored option: focusing on the business market and programming capabilities.
Ever since large models had emerged, programming had been one of their most closely watched applications, but the results had never quite measured up. ChatGPT could generate code, but programmers who used it often responded with, "This isn't good enough," or, "It can only handle simple tasks."
But Ryan had seen an opportunity there.
It was precisely because OpenAI wasn't good enough yet that Nexus AI had an opening.
While training the Venus model, the model team had put enormous effort into improving its programming capabilities. And as soon as the Chinese team released its programming agent tool, Riding the Wind, they had learned from its strengths and launched Nexus Atlas with similar features.
After Atlas launched, their competitors OpenAI and Google had even traded barbs with Nexus AI in the media, saying these weren't innovative features and that the Chinese team had created them first.
But