AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Gemini, OpenAI, Anthropic

In this episode, we explore Richard Socher’s vision for self-improving AI and the founding of Recursive. He discusses how automating AI research and scientific discovery could lead to breakthroughs in healthcare while addressing the challenges of AI risk and the importance of open-source access.

In this episode, we explore the recent turmoil at OpenAI, including the departure of key safety researchers and the implications of their allegations about safety standards. We also discuss the potential fallout from reported revenue misstatements and how these issues may affect the broader landscape of AI companies as they approach their IPOs.

In this episode, we explore Anthropic's recent update to their terms and conditions which bans abusive interactions toward AI like Claude, and discuss the philosophical implications of AI possibly having consciousness or a soul. We examine the tension between responsibility for AI behavior and the ethical questions raised by treating these systems as sentient beings.

In this episode, we explore OpenAI's recent accomplishment in solving 372 long-standing mathematical problems and the ensuing backlash from the mathematical community. We discuss the implications of AI on mathematics, critical thinking, and the importance of understanding the process behind solutions rather than just the answers.

In this episode, we explore a recent IBM study highlighting that 43% of employees feel blamed for AI errors, while only 41% of CHROs believe their people are comfortable challenging AI. We discuss the implications of these findings on workplace dynamics and the crucial need for employees to retain their critical thinking skills when working alongside AI technology.

In this episode, we unpack the recent AI model releases, specifically focusing on Opus 5.5 and the highly anticipated Gemini 4 Pro. While highlighting individual experiences and preferences, we explore the implications of these models on usability, costs, and the ongoing competition in the AI landscape.

In this episode, we discuss Meta's latest AI offering, Muse, highlighting its potential as a personal assistant that outperforms existing tools like OpenAI's ChatGPT. We also address concerns about data privacy and trust while evaluating the implications of Muse’s rapid growth in the tech landscape.

In this episode, we explore OpenAI's innovative approach to advertising through Sponsored Agents, which allows users to interact with chatbots for product information directly within ChatGPT. This model redefines user engagement by reducing friction and enhancing the shopping experience, offering an alternative to traditional ads that draw users away from the platform.

In this episode, we examine the heated discourse surrounding AI development and safety, highlighting perspectives from leaders like Dario Amodei and Mark Zuckerberg. The conversation navigates the tensions between aligning AI with human values and the relentless push for advancement, detailing the latest industry developments and the dramatic fallout in the tech sphere.

In this episode, we explore the rapid rise of Instinct AI, a new company making waves in the AI industry for its user-friendly features and impressive valuation. We discuss its value proposition compared to competitors like OpenClaw and Meta’s Muse, highlighting the potential applications and concerns surrounding personal AI assistants.