In this episode, we examine AI's disruptive potential for the workforce, discussing the challenges of job displacement and the opportunities for reskilling and upskilling in an increasingly automated economy.

In this episode, we look beyond the immediate impacts of job loss to explore the broader societal, economic, and ethical implications of AI's rise, discussing how we can harness technology to create a more equitable and sustainable future for all.

In this episode, we take a glimpse into the future of language technology with Google's Bard and LLM PaLM 2, exploring the possibilities they unlock for enhancing communication and understanding.

In this episode, we map out OpenAI's financial infrastructure, dissecting the $540 million investment in ChatGPT and the structural foundations supporting its development.

In this episode, we delve into the recent surge in AI venture deals, highlighting the significant scale-up of investments in companies like Anthropic and Abridge. We explore the implications of this financial trend for the AI industry and what it signals about the future of technology.

In this episode, we delve into the human cost of AI-driven automation, as exemplified by IBM's decision to eliminate 7,800 jobs, and discuss the ethical considerations and societal implications of technological advancement.

In this episode, we take you inside the Twitter trend surrounding #OpenAI, uncovering five big reasons for its surge in popularity and prominence on the social media platform.

In this episode, we explore ChatGPT's contributions to stock market prediction, discussing the evolving role of AI in financial analysis and the implications for investors, regulators, and market stability.

In this episode, we provide a global perspective on the reviews and feedback received by Snap's My AI, discussing the platform's reception, user expectations, and potential areas for improvement.

In this episode, we reflect on ChatGPT's accountability amidst regulatory scrutiny from consumer protection agencies, exploring the broader implications for AI governance and societal trust.