In this episode, we shed light on the negative aspects of AI, discussing its potential to disrupt industries, eliminate jobs, and exacerbate inequality, prompting a critical examination of its implications.

In this episode, we delve into the societal and economic implications of AI's looming dominance in the job market, discussing the negative consequences and potential strategies for mitigating its impact.

In this episode, we uncover the mysteries behind Google's latest creations, Bard and LLM PaLM 2, speculating on their potential impact and discussing their implications for the future of AI.

In this episode, we dissect the economic framework sustaining OpenAI's $540 million annual commitment to ChatGPT, scrutinizing the financial pillars supporting its development and evolution.

In this episode, we explore the significant uptick in AI venture deals, focusing on the expansion of Anthropic and the innovative strides made by Abridge. We delve into what these developments mean for the AI industry and potential implications for future technology trends.

In this episode, we discuss IBM's ambitious plan to implement AI automation, resulting in the displacement of 7,800 jobs, and analyze the potential impacts on employees, industries, and the broader economy.

In this episode, we decode the surge in #OpenAI's popularity on Twitter, exploring five compelling reasons driving the conversation and capturing the attention of social media users worldwide.

In this episode, we unpack the controversy surrounding ChatGPT's purported ability to outperform financial analysts in predicting stock market movements, examining the evidence, challenges, and broader implications.

In this episode, we delve into the global rollout of My AI, Snapchat's ChatGPT integration, examining the early reviews and feedback from users worldwide to understand the challenges and opportunities ahead.

In this episode, we analyze the ongoing investigations by consumer protection agencies into ChatGPT, examining the potential ramifications for data privacy, algorithmic transparency, and user trust.