Inside Google’s Two-Year Frenzy to Catch Up With OpenAI – WIRED

The Great AI Awakening: How Google’s 100-Day Sprint Saved the Company

In December 2022, Google was facing a crisis. The release of OpenAI’s ChatGPT, a revolutionary artificial intelligence language model, had sent shockwaves through the tech industry. With over a million users already on board, the writing was on the wall: Google’s dominance in search was under threat. The company’s own language model, LaMDA, was capable but restricted, and its ad sales were disappointing. The stock price of Alphabet, Google’s parent company, had plummeted by 39% in a year.

Enter Sissie Hsiao, a seasoned Google executive with 16 years of experience under her belt. She was given a daunting task: build a ChatGPT rival within 100 days. The stakes were high, and the pressure was immense. But Hsiao was determined to deliver.

The Birth of Bard

Hsiao assembled a team of about 100 people from across Google, plucking them from various teams to work on the new project, codenamed Bard. The team was tasked with building a language model that could rival ChatGPT’s capabilities while ensuring quality and speed. Hsiao’s mantra was “Quality over speed, but fast.” The team was given the freedom to work on the project, with no choice but to prioritize Bard over everything else.

The Culture Shift

The 100-day sprint was just the beginning of a larger cultural shift within Google. James Manyika, a senior vice president of technology and society, had been advocating for a more agile and collaborative approach to AI development. He convinced CEO Sundar Pichai to merge the company’s two world-class AI research teams, DeepMind and Google Brain, to build the most powerful language model yet. The result was Gemini, a project that would become the foundation of Google’s AI strategy.

The Challenges

The journey was not without its challenges. The company faced intense pressure to deliver, and employees were working long hours to meet the deadline. The stress was palpable, with some employees worrying about losing their jobs if they didn’t put in the extra effort. The company’s infrastructure team had to shift its top staff to free up more servers to support the project.

The Outcome

Fast forward to today, and the outcome is nothing short of remarkable. Alphabet’s shares have reached an all-time high, and investors are bullish about Google’s advances in AI. The company’s transformation has been nothing short of frenzied, with employees working tirelessly to deliver results.

Lessons Learned

So, what can we learn from Google’s 100-day sprint? Firstly, the importance of agility and collaboration in the face of disruption. Secondly, the need for bold and responsible decision-making. And thirdly, the value of prioritizing quality over speed, while still moving at a rapid pace.

Actionable Insights

For companies facing similar challenges, here are some actionable insights:

  1. Embrace disruption: Don’t be afraid to challenge your assumptions and adapt to changing circumstances.
  2. Collaborate and partner: Merge teams and expertise to build something greater than the sum of its parts.
  3. Prioritize quality: While speed is important, don’t compromise on quality. It’s a trade-off that’s worth making.
  4. Communicate effectively: Keep employees informed and engaged throughout the process to avoid confusion and uncertainty.

Conclusion

Google’s 100-day sprint was a defining moment in the company’s history. It was a test of its ability to adapt, innovate, and deliver under pressure. The outcome is a testament to the power of human ingenuity and the importance of embracing disruption. As we look to the future, we can learn valuable lessons from Google’s journey and apply them to our own challenges.