Delve into the world of mind-reading AI technology with Matthew Iversen as we unpack its mechanisms, potentials, and the ethical considerations of decoding human thoughts.

Forecasting the imminent consequences of AI on job markets, dissecting the repercussions and examining the likelihood of an 80% job displacement in the near future.

Unveiling Google's frontier in AI with Bard and LLM PaLM 2, exploring their potential to redefine the boundaries of artificial intelligence.

Analyzing the financial implications of ChatGPT, unraveling OpenAI's noteworthy annual commitment of $540 million toward this pivotal AI infrastructure.

Investigating IBM's adoption of AI, displacing 7,800 roles, and the financial impact on Chegg, tied to ChatGPT, experiencing a 48% stock decline.

Analyzing GPT-4's introduction into hospital infrastructures, evaluating the prospects and challenges posed by AI's entry into medical practices.

Breaking down Nvidia's groundbreaking Text-to-Video AI Generation, examining its potential to revolutionize how we generate visual content from text inputs.

Exploring the diverse and unexpected websites forming the backbone of ChatGPT's training data, delving into the distinctive online sources behind its knowledge.

Delving into OpenAI's model evolution, decoding the pause on GPT-5 and the dilemmas limiting their model size expansion, considering the implications for the future of AI.

Unraveling OpenAI's strategy, analyzing the reasons for the absence of GPT-5 and the boundaries constraining their model sizes, speculating on the implications for the future of AI.