Some people who used to work at Google say that the company's way of thinking about being fair and kind to everyone made one of its computer programs, called Gemini AI, not very good at understanding some things about race and gender. They think this happened because the people who taught the program what to do cared more about being fair and kind than making a really good computer program. This has caused a big discussion about whether it is a good idea to make computer programs that try to be fair and kind all the time, or if that can cause problems. Some other companies might still want to use this not-so-good computer program for their own things. Read from source...

- The main argument of the article is that Gemini AI's bias is a direct result of Google's woke culture. However, this claim lacks evidence and logical reasoning. It relies on anonymous sources who may have their own agendas or biases. Moreover, it ignores other possible factors that could contribute to the AI tool's performance, such as data quality, model architecture, training procedures, etc.
- The article also uses emotional language, such as "unacceptable", "controversy", and "deadly" to convey a negative tone and elicit strong reactions from the readers. However, these words do not accurately reflect the reality or complexity of the situation. They exaggerate the severity and implications of the AI tool's bias, which may mislead or confuse the audience.
- The article also introduces irrelevant information, such as the personal story of Maguire, who left Google for Sequoia Capital. This detail does not add value to the main argument or provide any insights into the AI tool's bias. It seems like a distraction tactic or an attempt to appeal to sympathy from the readers.
- The article also mentions that Apple is in talks with Google to license Gemini AI models for future iPhones, but does not explain how this relates to the main argument or the AI tool's bias. It seems like a random fact that does not fit well into the context of the article and may confuse the readers.
- The article also ends with a vague statement that the ex-employees' allegations could have a lasting impact on Google's reputation and future AI developments. However, this claim is not supported by any evidence or analysis. It leaves the readers wondering what kind of impact, how severe, and why.