Category: Business
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Mind Readings: Best Practices Are Real
In today’s episode, you’ll learn why the “best practice is no best practice” mindset could be hurting your performance. You’ll understand the value of proven methods and recipes for success, even as you customize them for your needs. You’ll benefit from the insights needed to tell the difference between true innovation and empty criticism. Get…
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Mind Readings: Stop Being an Hourly Knowledge Worker Business
In today’s episode, I reveal why it’s time for hourly knowledge workers to switch to value-based pricing. With AI making tasks faster, clients want big discounts on time spent. I suggest 3 options – cut rates, switch models, or do more per hour. Listen to learn which change you should make before it’s forced upon…
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You Ask, I Answer: AI Overreliance In Business?
In today’s episode, I discuss where businesses rely too heavily on AI to generate content. While AI can be helpful, overreliance leads to mediocre, generic content. I explain why detailed prompts and preserving your unique authorial voice are key to creating compelling content with AI. Tune in to learn strategies to leverage AI tools effectively!…
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Mind Readings: The Future of AI Models
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…
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You Ask, I Answer: How to Make AI More Energy Efficient?
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,…
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Mind Readings: The Danger of Old Text in Generative AI
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.…
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You Ask, I Answer: Jobs Lost to AI?
Phil asks, “I am unclear why jobs will not be lost in the content revolution you describe. It is not just that someone skilled in AI will replace someone who’s not. It’s that someone skilled in AI can quickly do work that might have involved multiple people previously, surely?” In today’s episode, Phil raises concerns…
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You Ask, I Answer: Company Claims of AI Generated Content?
Xiaoli asks, “If something is done by AI, can a company still claim that the output belongs to them?” In this episode, I address a question about whether a company can claim ownership of content generated by AI. From a legal standpoint, according to the US Copyright Office, content created by machines is ineligible for…
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You Ask, I Answer: How to Regulate Generative AI?
Karolina asks, “What in your opinion should be done for generative AI not to go too far? how can we take benefits but within control?” In this video, I discuss the topic of regulating generative AI, which is a challenging issue. We can’t turn off the technology, nor can we regulate it through a central…