Welcome to episode 115 of the AI for Technical Writers podcast from Curt Robbins. This educational content is designed to give IT professionals and technical writers a competitive edge.In this episode, charismatic hosts Daphne and Fred review the recent announcements how the IT economy is shifting from the CPU to the GPU. "Huge improvements in AI models make new applications and services profitable. And that profitability fuels more investment which then lets companies build even better AI...faster. It's a feedback loop that's causing this explosion in capital spending worldwide," said Daphne. _________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins.I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt_________________________________>> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt
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America's Big Bet on Artificial Intelligence
Welcome to episode 114 of the AI for Technical Writers podcast from Curt Robbins. This educational content is designed to give IT professionals and technical writers a competitive edge.This episode reviews a discussion among financial analysts and commentators concerning the massive investment in artificial intelligence (AI) by major technology companies, raising questions about market volatility. Commentators express concern about the high concentration of spending—estimated at $400 billion this year—and the comparison of the current market to historic bubbles like those in 1929 and 1999. The conversation further explores the economic implications of AI, focusing on the potential impact on jobs and whether the technology's actual utility justifies the immense financial investment. A significant point is raised regarding the uneven distribution of AI value, noting that most of the stock market's recent returns are attributed to AI, yet many key AI companies are private, limiting public investment opportunities. Ultimately, the analysts consider whether AI applications will become profitable enough through business use cases, such as in law or healthcare, to earn their way out of the current "frothy" environment._________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins.I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt_________________________________>> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt
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Tool Review: Grammarly
Welcome to episode 149 of the Technical Writing Success podcast from Curt Robbins. This podcast is targeted at IT professionals, technical writers, and documentation specialists. Subscribe today to never miss a single daily episode!Today’s episode reviews an article by show producer Robbins that is a tool review of the popular software Grammarly. Hosts Daphne and Fred unpack this informative article that details Grammarly's evolution from a simple grammar tool to a real-time editing and style coach, focusing on its utility for IT professionals and technical writers. It systematically covers the pros, such as enforcing style guides and improving clarity, and the cons, including false flags for technical jargon and limited support for specialized developer documentation formats like Markdown. Finally, this review analyzes how Grammarly's value proposition differs across various target audiences, including large enterprises, startups, and individual freelancers—emphasizing its role in governance, quality control, and productivity._________________________I'm currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt_________________________>> Read the original article: https://tinyurl.com/9aup7hxt>> Read the Robbins article "Tool Review: Adobe FrameMaker" article: https://tinyurl.com/5dj3b8tp>> Read the Robbins article "Helping Junior Technical Writers": https://tinyurl.com/yc82h4j7>> Read the Robbins article "10 Famous Technical Writers": https://tinyurl.com/5ejznknw>> Read the Robbins article "Tech Writers: Embrace Structured Content": https://tinyurl.com/32ysxm3v>> Read the Robbins article "Role of User Experience in Tech Writing": https://tinyurl.com/mrdtenbb>> Join the Technical Writing Success group on LinkedIn: https://tinyurl.com/mr28u7td>> Subscribe to the weekly Tech Writing Success newsletter: https://tinyurl.com/yc7dbfy3>> Subscribe to the AI for Technical Writers podcast: https://tinyurl.com/mppehxtn
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Diana Wolf Torres Article Review: Can AI Explain Itself?
Welcome to episode 113 of the AI for Technical Writers podcast from Curt Robbins. This educational content is designed to give IT professionals and technical writers a competitive edge.This episode reviews a recent article and accompanying YouTube video from Silicon Valley-based Diana Wolf Torres, editor of the Deep Learning with the Wolf newsletter on LinkedIn. It explains a recent research paper by guest Shubham Sharma, founder of Sonitech AI. Sharma introduces his study, entitled Geometric Mixture Classifiers (GMC), which addresses the limitations of existing classification models when dealing with multimodel data structures found in real-world AI scenarios such as medical diagnosis and fraud detection. The GMC algorithm proposes using a mixture of hyperplanes—linear models acting as "experts"—per class, which solves the three-fold challenge of handling multimodel structures, maintaining computational efficiency, and providing crucial geometric interpretability that linear and deep learning models often lack. Sharma emphasizes that GMC aims to eliminate the perceived trade-off between a model's accuracy and transparency, making interpretable AI more practical. This episode concludes by noting that the code for the GMC model is publicly available via a GitHub repository linked in the paper and encourages the research community to adopt and extend the algorithm._________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins.I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt_________________________________>> Read the Torres article "A Model with Many Minds: Exploring Geometric Mixture Classifiers": https://tinyurl.com/munf3f6n >> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt
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Recent Sam Altman Interviews: Summary & Review
Welcome to episode 112 of the AI for Technical Writers podcast from Curt Robbins. This educational content is designed to give IT professionals and technical writers a competitive edge.This episode reviews of five recent interviews with OpenAI's Sam Altman, the company behind ChatGPT. Altman discusses the rapid advancement of Artificial General Intelligence (AGI) and its profound societal implications. He emphasizes the unprecedented capabilities of models like GPT-5 and Sora, noting their ability to transform fields from coding to content creation, while also acknowledging the potential for job displacement in knowledge work. A recurring theme is the necessity for society to co-evolve with the technology, adapting to rapid change and addressing ethical dilemmas, such as AI's moral framework and the challenges of deepfake media. Altman also addresses concerns about power concentration and the potential for a new universal basic wealth model based on AI capacity, alongside the need for new regulatory and privacy frameworks to manage these powerful tools responsibly._________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins.I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt_________________________________>> Read the Robbins article "Lovers & Haters: AI Believers vs. AI Skeptics": https://tinyurl.com/ynpxbpkc>> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt
AI for Technical Writers is a weekly podcast from senior technical writer Curt Robbins that explores the role of artificial intelligence in our jobs, careers, and personal lives. This podcast investigates many important topics related to AI, including job security, national defense, ethics and bias, consumer behavior, marketing and sales, entertainment, and healthcare.
The AI for Technical Writers podcast helps technical writers and IT professionals understand and embrace AI for a wide range of goals, including promotion and career advancement.
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