Keep pulling the thread on Ethan Mollick.
Moderna integrated a series of custom GPTs into its annual performance review process to drive AI adoption, linking usage to potential salary outcomes.
A study conducted with Boston Consulting Group, Harvard, MIT, and the University of Warwick found that using GPT-4 resulted in a 40% improvement in work quality and significant speed improvements.
Multiple studies on AI in the workplace show a "leveling effect," where the lowest-performing employees experience the largest productivity boost, effectively raising their output to the 80th percentile.
According to Ethan Mollick, AI labs predict the arrival of Artificial General Intelligence (AGI) within two years, while AI skeptics forecast a 10-year timeline.
Companies with stringent data security and legal requirements, such as Moderna and J.P. Morgan, are actively using large language models.
Nicolai Tangen believes that companies failing to adopt AI will fall behind competitors by 20% annually and risk going out of business within two years.
The user base for ChatGPT is estimated to be between 500 million and 1 billion people.
An experiment at Procter & Gamble found that an individual employee working with AI achieved the same statistical performance as a two-person team without AI.
The release of the Chinese open-source model DeepSeek Coder V2 marked the first time a Chinese model reached the frontier of AI capabilities, though it still lags a few months behind leading US models.
A bill currently in the U.S. Congress proposes to ban individual states from passing their own AI regulations for the next 10 years.
The U.S. Congress has passed a bill that bans deepfakes.
A recent study found that the percentage of American workers using AI at work increased from 30% in February to over 40% in April.