generative AI

June 7, 2025

Which AI Really Gets It? Putting Leading Chatbots to the Test

In his June 4, 2025 article for The Washington Post, technology columnist Geoffrey A. Fowler explores the capabilities of leading AI chatbots in comprehending and summarizing complex texts. Titled “5 AI bots took our tough reading test. One was smartest , and it wasn’t ChatGPT,” the piece details a comprehensive evaluation of five AI tools: ChatGPT, Claude, Copilot, Meta AI, and Gemini across diverse domains including literature, law, health science, and politics. Fowler’s investigation reveals that while some AI responses were impressively insightful, others were notably flawed, highlighting the varying degrees of reliability among these tools. Notably, Claude emerged as the top performer, demonstrating consistent accuracy and depth of understanding across the tested subjects.css.washingtonpost.com+1washingtonpost.com+1

You can read the full article here: washingtonpost.com

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June 2, 2025

Putting Legal AI to the Test: One Attorney’s Deep Dive Into ChatGPT and Lexis

by David Badertscher

In an era where artificial intelligence is reshaping the legal landscape, understanding its practical applications becomes essential for modern practitioners. Carolyn Elefant, a seasoned attorney and founder of MyShingle.com, offers a compelling firsthand account of this evolution. In her timely article, “My Experience Comparing Lexis and ChatGPT Deep Research,” published on May 20, 2025, Elefant delves into a real world comparison between traditional legal research tools and emerging AI driven solutions. Her insights shed light on the efficiencies and challenges presented by these technologies, providing valuable perspectives for legal professionals navigating this transformative period.

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My Experience Comparing Lexis and ChatGPT Deep Research

May 29, 2025

Behind the Curtain: AI, Automation, and the Looming Threat to Human Knowledge Work

by David Badertscher

Inspired by Axios’s “Behind the Curtain: A White-Collar Bloodbath” (May 28, 2025)

Dario Amodei, cofounder and CEO of Anthropic, is issuing an urgent warning: advanced artificial intelligence may soon pose a serious threat to millions of white-collar jobs. While today’s AI systems, like Anthropic’s own Claude and OpenAI’s ChatGPT, are currently seen as productivity boosters, Amodei cautions that this could quickly change as models become dramatically more powerful.

In internal presentations recently shared with government officials, Amodei projected that future AI models, potentially arriving in the early 2030s, could be capable of performing 80 to 90% of tasks typically handled by college educated professionals. These include jobs in legal research, finance, marketing, and customer service. For example, AI tools are already being deployed to automate paralegal tasks and financial analysis; and some early adopter companies are replacing portions of their human customer support teams with large language model (LLM) chatbots.

December 29, 2024

Exploring Microsoft Copilot: An Experiment in AI Powered Q and A

by David Badertscher

This compilation is part of an experiment, marking the initial use of Microsoft Copilot as a question-and-answer application.

My QUESTION:

“Can you give me a list of the most popular programming languages for beginners, including those with features incorporating artificial intelligence(AI).”