Maya looked around the room of 50 experts who had failed where she succeeded. «Maybe sometimes you just need fresh eyes.»
Dr. Carter couldn’t hide her fascination. «Maya, how did you see that when we missed it?»
«You were all looking at the hard parts,» Maya explained simply. «But the mistake was in the easy part.»
«Nobody checks the easy parts,» BMW’s technical director spoke up. «What other ‘easy parts’ haven’t we checked?»
Maya studied the screens again, her young mind processing patterns that escaped the adults. «There are more places like that one. Want me to show you?»
Blake stepped between Maya and the screens. «Absolutely not. This has gone far enough. We have protocols, procedures, and professional standards.»
«Are you afraid she’ll find more mistakes?» Toyota’s CEO asked pointedly.
The question hung in the air like a challenge. Blake realized he was trapped by his own arrogance. Saying yes would admit incompetence. Saying no would look like he was afraid of an eight-year-old.
«Fine,» Blake said through clenched teeth. «But when she can’t find anything else, this charade ends.»
Maya approached the wall display with quiet confidence. She studied the scrolling code for 30 seconds, then pointed to another section.
«Here. Same problem. You’re telling the car to speed up instead of asking if it should speed up.»
Dr. Carter checked the line, her face went pale. «She’s right again.»
«And here,» Maya pointed to a different area. «The car thinks it should always brake hard instead of checking how hard to brake.»
More frantic typing, more confirmations of Maya’s accuracy.
«How are you doing this?» Dr. Carter whispered.
Maya shrugged with childlike simplicity. «When my mom cleans windows, she checks every corner. You guys only looked at the middle parts.»
Blake watched his team of MIT graduates being schooled by a child who learned programming from watching through office windows. His billion-dollar company’s reputation was crumbling on live television.
«Even if she’s found a few basic errors,» Blake said desperately, «that doesn’t mean she understands our complex systems architecture.»
Maya looked at him with surprising directness. «I don’t understand everything, but I understand when something’s asking the wrong question.»
Ford’s representative spoke up. «How many more ‘wrong questions’ are there?»
Maya scanned the screens one more time. «Lots. Maybe hundreds. They’re everywhere once you know what to look for.»
The room buzzed with excitement and horror. Hundreds of errors meant their vehicles had been dangerous for months. It also meant Maya could potentially save lives. Blake felt his world tilting.
«This is impossible. You can’t just waltz in here and…»
«Actually,» interrupted BMW’s technical director, «this child has demonstrated more practical insight in ten minutes than we’ve seen from your team in three days.»
The livestream comments were going insane. Programming professors from MIT and Stanford were logging in to verify Maya’s findings. Tech journalists were writing headlines in real-time. Dr. Carter looked at Maya with newfound respect.
«Would you be willing to help us find the other errors?»
Blake’s voice cracked with desperation. «She’s eight years old! This is a billion-dollar corporation, not a daycare center.»
«Then maybe,» Toyota’s CEO said coldly, «your billion-dollar corporation should hire better programmers.»
The insult hit Blake like a physical blow. His own clients were turning against him because of a child’s success. Maya’s mother, Rosa, finally stepped forward, overwhelmed by the attention.
«Maya, maybe we should go. These people have important work to do.»
«No,» said Ford’s representative firmly. «I think Maya’s work is the most important thing happening in this room.»
Blake realized he was losing control completely. His experts were being outperformed. His clients were taking the child’s side. His authority was evaporating in front of millions of viewers. But Maya wasn’t finished. She had more surprises that would shake Blake’s world to its very foundation.
How many more impossible things can one eight-year-old accomplish before the adults admit they were wrong? Blake’s phone exploded with notifications. His stock price had jumped 12% in the last hour. Tech blogs were calling Maya the child prodigy who saved Mathcore.
LinkedIn was flooded with posts about hiring practices and hidden talent. But the real pressure came from the room itself. The automotive executives were no longer thinking about leaving. They were thinking about how much money Maya could save them.
«Dr. Blake,» Toyota’s CEO said with new authority. «I propose we extend this consultation. If this child can find critical errors your team missed, perhaps she can review our other systems.»
Blake felt the walls closing in. «That’s absolutely ridiculous. We’re talking about life-and-death technology. Autonomous vehicles that carry families. Military-grade security systems. You can’t just…»
«Just what?» BMW’s technical director interrupted. «Trust someone who’s already proven more competent than your engineers?»
The livestream viewer count hit 4.2 million. Major news networks were picking up the story. CNN was preparing a breaking news segment about the eight-year-old who outsmarted Silicon Valley.
Maya stood quietly in the chaos, studying the newest screens Dr. Carter had pulled up. These showed Mathcore’s other major systems: traffic management AI, hospital equipment controllers, financial trading algorithms.
«Maya,» Dr. Carter asked gently, «what do you see in these?»
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