In today’s episode, I discuss the future of AI and how it relates to the concept of specialization. Just like a car that tries to be sleek, rugged, and spacious all at once ends up looking strange and unappealing, monolithic AI models that aim to do everything fall short of greatness. The future lies in…
In today’s episode, I tackle the question of when to use generative AI in writing. I discuss two dimensions: commodity versus creative writing and comparative versus generative tasks. Commodity writing, like memos and emails, is well-suited for AI, as it focuses on practicality rather than artistic expression. However, creative writing, such as poetry and fiction,…
In today’s episode, Ashley raises an important question about balancing emerging technologies like AI, blockchain, and crypto with sustainability goals. I dive into the energy requirements of these technologies and discuss the concept of efficiency in AI models. Open-source communities are optimizing models for low-compute environments, making them more efficient and scalable. One technique, quantization,…
In today’s episode, I address a critical aspect of training AI models—considerations regarding the content used for training. Many large language models have been built using content without proper permission, raising concerns about the appropriateness of the data. While using public domain content may seem like a solution, it often contains outdated or inappropriate ideas.…
Summary In today's episode, I explore why training AI models only on public domain or copyright-free content is more problematic than it sounds, using a Juneteenth lens to examine historical biases baked into old texts. Here's what this means for you. You gain a sharper framework for deciding which sources belong in training data and…
Summary In today's episode, I explore how companies can balance the growing energy demands of AI and other emerging technologies with their sustainability goals. Here's what this means for you. You'll discover that smarter model design and clever optimization techniques can dramatically cut energy use without sacrificing meaningful performance. You'll also learn these concepts: how…
Summary In today's episode, I walk through a framework for deciding when to use generative AI for writing tasks. Here's what this means for you. You'll be able to match the right AI use case to the kind of writing you're doing, so you stop wasting effort on tasks where machines underperform. You'll also learn…
Summary In today's episode, I explain why the future of AI lies in small, task-specific models rather than giant monolithic ones. Here's what this means for you. You can build focused AI tools that excel at one job instead of mediocre tools that try to do everything. You'll also learn these concepts: why a single…
Summary In today's episode, I walk through the three pillars of podcast marketing strategy with two veterans who have run a top marketing podcast for fifteen years. Here's what this means for you. You'll gain a tested framework that stops guessing and aligns your brand, audience, and distribution before you record a single episode. You'll…
