This Week in AI with cohosts ChatGPT and Tony DeSimone

In this episode of AI Mastermind, Tony DeSimone and ChatGPT discuss New York City Mayor Zohran Mamdani’s one-year moratorium on generative AI use for students from kindergarten through eighth grade. They debate whether the policy protects foundational learning or risks leaving students behind as AI skills become increasingly important in education and the workplace. The conversation also explores teacher training, curriculum changes, equity concerns, and what schools and parents can do to prepare students for an AI-driven future.

In this episode, Patrick Chen and Tony DeSimone dive into three major AI stories: Sam Altman’s warning on using ChatGPT as a therapist and the legal risks of AI conversations A new Lightcast report revealing a 28% salary premium for AI skills mainly outside tech ChatGPT’s Agent Mode: what it does today, where it’s headed, and why it might change your workflow Tune in for hot takes, real examples, and a forward-looking conversation on the evolving AI landscape.

We dive into the key differences between the free and pro versions of ChatGPT, plus some tips on avoiding AI hallucinations and data privacy concerns. I think you'll find it super helpful, especially if you're considering which version to use! Check it out when you have a moment!

Companies that aren't assessing candidates' generative AI knowledge are already falling behind in the technological race. By failing to probe a candidate's understanding of AI tools and their potential applications, organizations risk hiring talent that lacks critical 21st-century skills and adaptability The rapid evolution of generative AI means that technological awareness is no longer optional—it's a fundamental competency. Organizations that don't integrate AI-focused questions into their hiring process are essentially recruiting with blinders on, potentially missing out on candidates who can leverage cutting-edge technologies to drive innovation and efficiency   As recruitment experts note, generative AI is transforming how we identify and select top talent. By not asking about AI knowledge, companies are not just missing a skill assessment—they're signaling their own technological obsolescence

We were planning on a full 2025 generative AI predictions episode, but cohost ChatGPT had other plans, and Tony just got fed up. They did squeeze out a couple of predictions before Tony pulled the plug. Sorry for wasting your time.

The episodes analyzes the escalating costs of developing and deploying advanced AI models, particularly generative AI. A significant portion of these costs stems from the expensive hardware, primarily GPUs, needed for training. Other substantial expenses include R&D personnel, server infrastructure, and energy consumption. Despite these high costs, the widespread and rapid adoption of generative AI suggests it is a transformative technology with immense potential, but raises concerns about accessibility given the financial barrier to entry for many organizations.

AI-powered crime prediction systems are being developed, showing promise in improving public safety by analyzing crime data to identify patterns and allocate resources efficiently. Two examples, one from the University of Chicago and another from South Korea, demonstrate varying degrees of accuracy in predicting crimes. However, significant ethical concerns exist regarding potential biases in the data and the impact on civil liberties. The technology's advancement necessitates careful implementation to balance effective policing with ethical considerations.

OpenAI is hosting a twelve-day event, "12 Days of OpenAI," starting December 5th, 2024, to showcase new AI products and features. Daily livestreams will reveal developments including the public debut of Sora (text-to-video AI), updates to ChatGPT (including a new Pro subscription), and advancements in OpenAI's o1 reasoning model and AI agents. The event generates significant excitement within the AI community, with anticipation for potentially groundbreaking announcements impacting various industries. These releases promise to significantly shape the future of AI technology.

OpenAI is facing significant legal challenges. Elon Musk is seeking an injunction to halt OpenAI's transition to a for-profit model and alleges anti-competitive practices with Microsoft. Separately, Canadian news organizations are suing OpenAI for allegedly using their copyrighted material to train its AI models. These lawsuits could drastically impact OpenAI's future, its partnerships, and the broader AI industry's practices regarding data usage and competition. The cases raise crucial questions about AI development, copyright, and the ethical implications of for-profit AI companies.