In this episode, we explore how OpenAI is breaking barriers with its unconventional 3rd party partnership with Scale AI, examining the dynamics of this surprising collaboration and its potential to reshape the AI landscape.

In this episode, we go behind the scenes with Techstars Director Tricia Martínez, uncovering her unique approach to investing in and building AI startups. Join us for an insider's perspective on the strategies that drive success in the tech industry.

In this episode, we discuss how Modular is crafting the code for the future of AI with a $100 million funding boost and their proprietary in-house programming language, offering a glimpse into the world of optimized AI models.

In this episode, we break down the numbers and explore the significance of Hugging Face securing $235 million in funding from tech heavyweights Google, Nvidia, Amazon, and Salesforce, discussing the potential impact on AI innovation.

In this episode, we join Egnyte CEO Vineet Jain in envisioning the landscape of tomorrow's AI, uncovering the strategies and advancements that will shape the future.

In this episode, we explore the heights of visual customization with MidJourney's Inpainting, a groundbreaking launch that allows users to customize every element in a photo, reshaping the way we interact with visual content.

In this episode, we witness the evolution of ChatGPT as OpenAI introduces the fine-tuning feature in a massive update, exploring how this enhancement elevates the capabilities of the popular conversational AI model.

In this episode, we celebrate a landmark achievement in language model development as the world's largest open-source LLM dataset, encompassing a staggering 3 trillion tokens, is revealed, promising advancements in natural language understanding.

In this episode, we shine a spotlight on the legal intricacies surrounding AI-generated art as a judge declares it uncopyrightable, exploring the ripple effects this decision may have on Hollywood's approach to creative ownership.

In this episode, we navigate the evolving landscape of employment as highlighted by an IBM study, discussing the urgent need for skill adaptation as AI threatens to make 40% of workers' skills redundant within the next three years.