Understanding Reasoning AI: What it is, how to use it

As creative professionals, we’ve already witnessed how generative AI has transformed the way we create content, design visuals, and develop ideas. Now, there’s a new player in the field: Reasoning AI. Unlike traditional AI models that excel at pattern recognition or generating content, Reasoning AI models are designed to approach problems through logical analysis and … Read more

LoRA (Low-Rank Adaptation)

LoRA (Low-Rank Adaptation) is an efficient method for adapting large AI models to specific tasks without having to retrain the entire model. LoRA can be thought of as a small, specialized add-on that is applied to the original AI model. This approach is comparable to an expert acquiring additional specialized knowledge without altering their foundational … Read more

How to: Train an AI image generator on your likeness

A new affordable method to train AI image models on personal photos allows users to generate custom AI images for approximately $3. The technique, detailed in a blog post by software developer Cory Zue, combines the Flux image model with LoRA (Low-Rank Adaptation) training technology on the Replicate platform. The process requires users to upload … Read more

Vatican releases comprehensive guidance on AI and human dignity

The Vatican has issued a detailed document addressing the ethical implications and proper use of artificial intelligence in relation to human dignity and religious faith. The note, titled “Antiqua et nova: Note on the Relationship Between Artificial Intelligence and Human Intelligence,” was released by the Dicastery for the Doctrine of the Faith and the Dicastery … Read more

Content visibility becomes crucial as AI adoption grows

A new analysis by Robert Rose highlights how the widespread adoption of generative AI is making content planning transparency more critical than ever. In an article published by the Content Marketing Institute, he explains that while AI promises to speed up content creation, it often amplifies existing challenges in content management. According to Forrester research … Read more

AI-generated content becomes increasingly hard to detect

Ben Congdon writes that AI generated content, which he calls “AI slop,” has become increasingly difficult to identify. In a detailed blog post on his personal website, Congdon describes how he developed an involuntary reflex for spotting AI-written text. He notes that while early GPT-3 content was easily detectable, recent AI outputs have become significantly … Read more

5 steps to better results with ChatGPT & Co.

When people talk about how to get better results with generative AI tools like ChatGPT, they often gravitate towards lists of ready-made prompts. These proven instructions are supposed to produce the desired results like a magic spell. I understand the appeal: It can seem hard to come up with your own winning prompts. It’s disheartening … Read more

New free ebook explains foundations of large language models

A new comprehensive book titled “Foundations of Large Language Models” has been released for free access on arxiv.org, offering readers a structured introduction to LLM technology. The book covers essential concepts and techniques across four chapters, focusing on the fundamental aspects rather than cutting-edge developments. The authors present the material as learning notes, making complex … Read more

How to combine GA4 and AI for better content analytics

Dana DiTomaso, founder of Kick Point Playbook, recently shared insights on leveraging Google Analytics 4 (GA4) and artificial intelligence to improve content strategy and data analysis. Speaking at CMI’s Content and Marketing Trends for 2025 event, DiTomaso emphasized the importance of working with imperfect data while focusing on meaningful trends rather than exact numbers. The … Read more

Guidelines to help businesses maximize AI deployment benefits

A comprehensive analysis published by Content Science outlines key strategies for businesses to effectively implement artificial intelligence technologies. Author Cory Bennett presents three main areas organizations should focus on when investing in AI: The article draws on current market data showing the global AI market valued at $621 billion, with projections reaching $2.74 trillion by … Read more