A famous funny man named Jon Stewart made jokes about some important people who make computers and software. They were saying that a new thing called AI can do amazing things, like helping the Earth and making us healthier. But Jon Stewart thinks they are not being honest and might be lying to get more money or fame. Read from source...

- Stewart mockingly questioned why these tech leaders were so optimistic about AI when their own products and services were not living up to the hype. He cited examples of Facebook's algorithmic failures, Google's ethical dilemmas with AI, and Microsoft's botched chatbot experiment as evidence that they have failed to deliver on their promises.
- Stewart also pointed out that many of these tech leaders were using the same buzzwords and catchphrases, suggesting a lack of originality and creativity in their vision for AI. He suggested that they were simply trying to sell a narrative rather than presenting a realistic assessment of the potential and limitations of AI.
- Stewart challenged the notion that AI can solve all the world's problems, arguing that there are many complex issues that cannot be reduced to simple algorithms or data sets. He cited examples such as climate change, poverty, and social justice, where human intelligence, empathy, and collaboration are essential for finding solutions.
- Stewart expressed skepticism about the claim that AI can revolutionize various industries, such as healthcare, education, and transportation. He argued that these sectors require more than just technological innovation, but also cultural change, policy reform, and human expertise. He suggested that AI may be able to assist or augment human capabilities, but not replace them entirely.
- Stewart concluded his segment by mocking the idea of a "bait and switch" tactic used by these tech leaders, implying that they were luring people into a false sense of hope and expectation with their grandiose promises about AI, while delivering products and services that fall short of their potential. He suggested that this was a disservice to both the public and the field of AI, as it creates unrealistic expectations and hampers genuine progress.