In this episode, we explore the barriers broken by ChatGPT's plugin integration and assess whether it translates into the claimed 100 times increase in performance.

In this episode, we dive into the AI-powered broadcast revolution fueled by RadioGPT as it transforms operations across 250 US radio stations, reshaping the way content is delivered.

In this episode, we delve into Bard's collapse, Google's failed challenge against ChatGPT, analyzing the strategic errors that led to its downfall in the competitive AI market.

In this episode, we explore innovation through 25 trailblazing applications, shedding light on the transformative impact of GPT4 with ChatGPT.

In this episode, we discuss Stanford's $600 ChatGPT experiment and its impact on AI economics, exploring how affordable AI models could reshape the industry's cost structure, innovation dynamics, and societal implications.

In this episode, we discuss resume renewal with ChatGPT's assistance, exploring its potential to facilitate career transformation and advancement by articulating individuals' skills, experiences, and aspirations in compelling ways.

In this episode, we analyze how the tactics used to evade AI detectors influence online behavior, from incentivizing deceptive practices to prompting adaptations in detection strategies, and the broader implications for digital trust and integrity.

In this episode, we break down the performance of ChatGPT-4 and examine how it outperforms ChatGPT-3 in various benchmarks and real-world applications, showcasing its advancements in language comprehension, coherence, and responsiveness.

In this episode, we explore Microsoft's strategic move to capitalize on the AI opportunity through substantial investment in ChatGPT and OpenAI's cloud infrastructure, analyzing the potential for technological breakthroughs, market leadership, and societal impact.

In this episode, we dissect the technical nuances underlying ChatGPT's math mishaps, exploring the limitations of language-based AI models, the challenges of mathematical comprehension, and the potential avenues for improvement in future iterations.