Gen AI Patrick Chen Gen AI Patrick Chen

Buffalo’s Top ChatGPT Training Class

As demand for practical AI education continues to grow, Buffalo-based expert Anthony DeSimone has emerged as a leading authority in ChatGPT training across Western New York. Since launching his ChatGPT Accelerator Class in early 2023, DeSimone has delivered the program 14 times, updating the curriculum continuously to reflect the latest AI features and real-world applications. The class emphasizes prompt engineering, personalization, and responsible AI use, ensuring participants understand both the benefits and risks of generative AI. With a strong focus on immediate workplace impact, the program equips professionals with skills they can apply confidently and ethically from day one.

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Gen AI Patrick Chen Gen AI Patrick Chen

Generative AI’s Biggest Danger Isn’t the Tech - It’s the Lack of Policy

In this interview, Anthony DeSimone, owner of You’re the Expert Now LLC, explains why every organization needs a formal generative AI usage policy and outlines the essential components it must include. With nearly half of employees already using AI tools like ChatGPT at work, often without leadership’s knowledge, companies face growing risks of “shadow AI.” Real-world examples, from Samsung engineers uploading proprietary code to attorneys sanctioned for citing fabricated cases, show how easily misuse can cause reputational, legal, and financial harm. DeSimone emphasizes that a strong policy should define key terms, establish an approved tool list, set security and encryption standards, and provide a clear process for reviewing new tools. Ongoing training and accountability are critical, since AI technology evolves rapidly and misuse often stems from a lack of awareness. He also stresses that generative AI tools must always be paired with human oversight, following his “People First, People Last” philosophy. The ultimate goal is not to stifle innovation but to enable it safely. As DeSimone warns, without clear policies, employees will eventually put confidential information into AI tools, and companies may not discover the damage until it is too late.

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Gen AI Patrick Chen Gen AI Patrick Chen

Top Generative AI Consulting & Training Firm in Buffalo, NY

As demand for practical AI education continues to grow, Buffalo-based expert Anthony DeSimone has emerged as a leading authority in ChatGPT training across Western New York. Since launching his ChatGPT Accelerator Class in early 2023, DeSimone has delivered the program 14 times, updating the curriculum continuously to reflect the latest AI features and real-world applications. The class emphasizes prompt engineering, personalization, and responsible AI use, ensuring participants understand both the benefits and risks of generative AI. With a strong focus on immediate workplace impact, the program equips professionals with skills they can apply confidently and ethically from day one.

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Warning: Your ChatGPT Chats CAN'T be Erased and Can End Up In a Courtroom!

A federal court order in the New York Times v. OpenAI lawsuit has fundamentally changed how ChatGPT handles deleted conversations. As of May 13, 2025, OpenAI is required to preserve all user chat logs—even those users attempt to delete—to prevent potential loss of evidence related to copyright claims. This article explains why the court issued the preservation order, who is affected, and how OpenAI has responded through appeal. It also explores broader implications for user privacy, legal discovery, and the future of generative AI. For everyday users, the ruling serves as a critical reminder that AI conversations may not be as ephemeral as they appear.

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Gen AI Anthony DeSimone Gen AI Anthony DeSimone

OpenAI Is Its People, and That’s Exactly Why the AI Bubble Is Inflating

When Sam Altman said “OpenAI is nothing without its people,” he captured both the company’s greatest strength and its growing vulnerability. As competition for elite AI talent intensifies, companies like Meta, Google, Microsoft, and Anthropic are offering unprecedented compensation and faster paths to liquidity. At the same time, large language models are rapidly commoditizing, narrowing technical differentiation. This article examines how soaring valuations, unprofitable business models, and escalating talent costs are inflating an AI bubble driven less by durable advantage and more by capital and liquidity. It explores what may happen if market expectations collide with economic reality.

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