SAN FRANCISCO (KRON) -- OpenAI CEO Sam Altman was roasted on social media Tuesday following a tweet thanking software coders for their past work. "I have so much gratitude to people who wrote extremely complex software character-by-character," wrote the billionaire San Francisco tech founder. "It a lready feels difficult to remember how much effort it really took." "Thank you for getting us to this point," Altman concluded. AI intensifies workload for humans, new study finds While some users seemed to agree with the founder of the ChatGPT parent company that AI had made it easier to write code, many others made note of the irony that software coding has been among the hardest hit sectors when it comes to AI-related job loss. "You're welcome. Nice to know that our reward is our jobs being taken away," replied one user. "Also thank the artists who painted complex images stroke by stroke. It already feels difficult to remember how much effort it really took," wrote another. "Thank you for getting us to this point." "This is such a patronizing take. Also Anthropic is the leader in coding," wrote another. "I don't think this reads the way you mean it to, or maybe it does," replied another. "Thank you for making us redundant," said another user. "That's great, Sam, when do the CEO layoffs begin?" wrote another bluntly. "AI only at the point it can take everyone *else's* job? This is tone deaf." "I have taken your jobs but thank you for helping me get to the point where I do that easily," added another. "Nothing says 'you're being replaced' quite like a heartfelt thank you from the guy doing the replacing," added another. Altman, the CEO and co-founder of OpenAI, is one of the most high-profile figures associated with artificial intelligence. However, he has recently faced some PR headwinds following the company's decision to move in on a Pentagon contract that rival Anthropic left on the table over issues with the government's demands on using the technology to surveil Americans or launch autonomous weapon strikes. ...read more read less