<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Notes from the Rabbit Hole</title><link>https://magnus919.com/tags/ai/</link><description>Recent content in Ai on Notes from the Rabbit Hole</description><generator>Hugo</generator><language>en</language><copyright>© [Magnus Hedemark](https://github.com/magnus919)</copyright><lastBuildDate>Tue, 29 Jul 2025 01:24:00 -0400</lastBuildDate><atom:link href="https://magnus919.com/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>The End of One-Size-Fits-All AI: Inside Claude Code's Subagents</title><link>https://magnus919.com/2025/07/the-end-of-one-size-fits-all-ai-inside-claude-codes-subagents/</link><pubDate>Tue, 29 Jul 2025 01:24:00 -0400</pubDate><guid>https://magnus919.com/2025/07/the-end-of-one-size-fits-all-ai-inside-claude-codes-subagents/</guid><description>&lt;p>Working with AI assistants often feels like trying to have multiple conversations at once. You start by asking for research help, then shift to content planning, then jump to implementation details. Each context switch dilutes the focus, and you end up with generic responses that try to address everything but excel at nothing.&lt;/p>
&lt;p>Claude Code&amp;rsquo;s new &lt;a href="https://docs.anthropic.com/en/docs/claude-code/sub-agents">subagents feature&lt;/a> changes this dynamic entirely.&lt;/p>
&lt;p>Instead of forcing one AI to juggle multiple types of tasks, you can now create and spawn specialized agents. For example, you might build a &lt;strong>research-assistant&lt;/strong> for systematic information gathering, a &lt;strong>content-strategist&lt;/strong> for editorial planning, a &lt;strong>hugo-blog-writer&lt;/strong> for properly formatted content creation, or a &lt;strong>general-purpose&lt;/strong> agent for complex multi-step workflows.&lt;/p></description></item><item><title>How This Blog's Palantir Investigation Predicted Congressional Alarm</title><link>https://magnus919.com/2025/06/how-this-blogs-palantir-investigation-predicted-congressional-alarm/</link><pubDate>Thu, 19 Jun 2025 18:25:57 -0400</pubDate><guid>https://magnus919.com/2025/06/how-this-blogs-palantir-investigation-predicted-congressional-alarm/</guid><description>&lt;iframe width="100%" height="180" frameborder="no" scrolling="no" seamless="" src="https://share.transistor.fm/e/833b32d7">&lt;/iframe>
&lt;h1 id="how-this-blogs-palantir-investigation-predicted-congressional-alarm">How This Blog&amp;rsquo;s Palantir Investigation Predicted Congressional Alarm&lt;/h1>
&lt;p>On June 17, 2025, &lt;a href="https://www.finance.senate.gov/imo/media/doc/wyden_aoc_palantir_letter_061725.pdf">ten Democratic lawmakers led by Senator Ron Wyden and Representative Alexandria Ocasio-Cortez sent a formal letter&lt;/a> to Palantir Technologies CEO Alex Karp, demanding answers about the company&amp;rsquo;s expanding federal contracts and what they described as a government-wide &amp;ldquo;mega-database&amp;rdquo; containing sensitive American taxpayer information.&lt;/p>
&lt;p>The letter raised serious concerns about potential Privacy Act violations and the creation of surveillance infrastructure that could be used to &amp;ldquo;spy on and target political enemies.&amp;rdquo; It cited &lt;a href="https://www.nytimes.com/2025/05/30/technology/trump-palantir-data-americans.html">over $113 million in new federal contracts&lt;/a> under the current administration and warned that Palantir employees embedded at the IRS were helping create &lt;a href="https://fedscoop.com/palantir-irs-mega-database-democrats-letter/">&amp;ldquo;a single, searchable database&amp;rdquo; of taxpayer records&lt;/a> that would likely be shared throughout the government.&lt;/p></description></item><item><title>Ideas in Motion: When AI Meets Art, Meaning, and the Future of Human Expression</title><link>https://magnus919.com/2025/06/ideas-in-motion-when-ai-meets-art-meaning-and-the-future-of-human-expression/</link><pubDate>Sat, 07 Jun 2025 00:20:00 -0400</pubDate><guid>https://magnus919.com/2025/06/ideas-in-motion-when-ai-meets-art-meaning-and-the-future-of-human-expression/</guid><description>&lt;h1 id="ideas-in-motion-when-ai-meets-art-meaning-and-the-future-of-human-expression">Ideas in Motion: When AI Meets Art, Meaning, and the Future of Human Expression&lt;/h1>
&lt;p>&lt;strong>Hosted by&lt;/strong>: CASHE x NY AI (Joint Event)&lt;br>
&lt;strong>Date&lt;/strong>: Friday, June 6, 2025, 8:30 PM&lt;br>
&lt;strong>Format&lt;/strong>: Online Discussion&lt;br>
&lt;strong>Host&lt;/strong>: Tone Fonseca&lt;/p>
&lt;p>This was the third in a series exploring the intersection of AI, creativity, and meaning-making—building on previous conversations about &amp;ldquo;The Origins of Art&amp;rdquo; and &amp;ldquo;AGI: What, When, How&amp;hellip;and Are We Ready?&amp;rdquo; What emerged was a thoughtful exploration of how artificial intelligence is reshaping our understanding of creativity, consciousness, and what it means to be human in an age of thinking machines.&lt;/p></description></item><item><title>The Future of AI Agents: Deep Insights from NYC's Agentic AI Meetup</title><link>https://magnus919.com/2025/05/the-future-of-ai-agents-deep-insights-from-nycs-agentic-ai-meetup/</link><pubDate>Thu, 29 May 2025 21:00:00 -0400</pubDate><guid>https://magnus919.com/2025/05/the-future-of-ai-agents-deep-insights-from-nycs-agentic-ai-meetup/</guid><description>&lt;h1 id="the-future-of-ai-agents-deep-insights-from-nycs-agentic-ai-meetup">The Future of AI Agents: Deep Insights from NYC&amp;rsquo;s Agentic AI Meetup&lt;/h1>
&lt;p>&lt;strong>Hosted by&lt;/strong>: NYC AI from Scratch Mastermind&lt;br>
&lt;strong>Date&lt;/strong>: Thursday, May 29, 2025, 7:00-9:00 PM EST&lt;br>
&lt;strong>Speaker&lt;/strong>: Dr. Daniel Barulli&lt;br>
&lt;strong>Location&lt;/strong>: Online&lt;/p>
&lt;p>What happens when you give AI systems the ability to use tools, reason through complex problems, and autonomously pursue multi-step goals? Dr. Daniel Barulli took us on a fascinating journey through the rapidly evolving world of agentic AI, demonstrating how these systems are already transforming research, productivity, and our understanding of what artificial intelligence can accomplish.&lt;/p></description></item><item><title>Meta's Pattern of Failed Big Bets: From Metaverse Meltdown to AI Brain Drain</title><link>https://magnus919.com/2025/05/metas-pattern-of-failed-big-bets-from-metaverse-meltdown-to-ai-brain-drain/</link><pubDate>Tue, 27 May 2025 14:00:00 -0400</pubDate><guid>https://magnus919.com/2025/05/metas-pattern-of-failed-big-bets-from-metaverse-meltdown-to-ai-brain-drain/</guid><description>&lt;p>I never bought into the Mark Zuckerberg hype. Sure, Facebook was huge, but let&amp;rsquo;s be honest—the guy struck me as socially clueless from day one. He got really lucky with an idea and timing that built his early social media fortune, but that doesn&amp;rsquo;t make him a visionary. It makes him someone who caught lightning in a bottle once.&lt;/p>
&lt;p>Here&amp;rsquo;s the thing that&amp;rsquo;s always bothered me: how did someone so fundamentally unsuited for leadership end up defining what social media standards should be for the entire world?&lt;/p></description></item><item><title>Can AI Be Conscious? Deep Insights from a Philosophy of Mind Discussion</title><link>https://magnus919.com/2025/05/can-ai-be-conscious-deep-insights-from-a-philosophy-of-mind-discussion/</link><pubDate>Fri, 23 May 2025 21:30:00 -0400</pubDate><guid>https://magnus919.com/2025/05/can-ai-be-conscious-deep-insights-from-a-philosophy-of-mind-discussion/</guid><description>&lt;p>I recently attended a fascinating discussion forum hosted by &lt;a href="https://www.meetup.com/meetup-group-rtxnkelt/events/307879795/">CASHE and the New York Artificial Intelligence Meetup Group&lt;/a> that tackled some of the most profound questions about AI, consciousness, and humanity&amp;rsquo;s future. The conversation brought together diverse perspectives on topics that sit at the intersection of technology, philosophy, and existential risk.&lt;/p>
&lt;h2 id="the-central-question-can-ai-be-truly-conscious">The Central Question: Can AI Be Truly Conscious?&lt;/h2>
&lt;p>The discussion opened with what many consider the fundamental question of our technological age: Could an artificial system ever truly be conscious, or are we destined to create only sophisticated imitations?&lt;/p></description></item><item><title>What I Learned About AGI at a NYC Meetup (And Why We're Not Ready)</title><link>https://magnus919.com/2025/05/what-i-learned-about-agi-at-a-nyc-meetup-and-why-were-not-ready/</link><pubDate>Thu, 22 May 2025 23:40:00 -0400</pubDate><guid>https://magnus919.com/2025/05/what-i-learned-about-agi-at-a-nyc-meetup-and-why-were-not-ready/</guid><description>&lt;p>I logged into a Google Meet expecting the usual tech meetup optimism. What I found instead was something more sobering—a virtual room full of AI researchers, engineers, and enthusiasts genuinely wrestling with whether we&amp;rsquo;re prepared for what&amp;rsquo;s coming next.&lt;/p>
&lt;p>The &lt;a href="https://www.meetup.com/meetup-group-rtxnkelt/">New York Artificial Intelligence Meetup Group&lt;/a> hosted an &lt;a href="https://www.meetup.com/meetup-group-rtxnkelt/events/307879093/">in-depth virtual seminar on AGI&lt;/a>—&amp;ldquo;AGI: What, When, How&amp;hellip;and Are We Ready?&amp;quot;—and the conversations that emerged were both fascinating and unsettling. Here&amp;rsquo;s what stuck with me from that evening online.&lt;/p></description></item><item><title>Paradigm Shifts and AGI: How Artificial General Intelligence Could Rewrite Our Economic Rules</title><link>https://magnus919.com/2025/05/paradigm-shifts-and-agi-how-artificial-general-intelligence-could-rewrite-our-economic-rules/</link><pubDate>Thu, 22 May 2025 08:30:00 -0400</pubDate><guid>https://magnus919.com/2025/05/paradigm-shifts-and-agi-how-artificial-general-intelligence-could-rewrite-our-economic-rules/</guid><description>&lt;p>I&amp;rsquo;ve been thinking a lot lately about how quickly AI is advancing, and I keep coming back to the same question: Are we really prepared for what&amp;rsquo;s coming? Not just technically, but economically and socially?&lt;/p>
&lt;p>Last month, I spent some time diving into Thomas Kuhn&amp;rsquo;s concept of paradigm shifts—those moments when our fundamental understanding of something completely transforms. The more I read about AGI (Artificial General Intelligence), the more convinced I am that we&amp;rsquo;re standing at the edge of exactly this kind of transformation in economics. And honestly? It&amp;rsquo;s both fascinating and terrifying.&lt;/p></description></item><item><title>Key Findings from the 2025 Verizon Data Breach Investigations Report</title><link>https://magnus919.com/2025/05/key-findings-from-the-2025-verizon-data-breach-investigations-report/</link><pubDate>Tue, 06 May 2025 00:00:00 -0400</pubDate><guid>https://magnus919.com/2025/05/key-findings-from-the-2025-verizon-data-breach-investigations-report/</guid><description>&lt;h1 id="is-your-business-prepared-for-todays-cybersecurity-threats">Is Your Business Prepared for Today&amp;rsquo;s Cybersecurity Threats?&lt;/h1>
&lt;p>Verizon has released its 18th annual Data Breach Investigations Report (DBIR), analyzing 22,052 security incidents, including 12,195 confirmed data breaches&lt;sup id="fnref:1">&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref">1&lt;/a>&lt;/sup>. This comprehensive analysis reveals critical trends that every business should understand to better protect their data and operations.&lt;/p>
&lt;p>&lt;strong>What keeps other CEOs up at night? Read on to discover the most pressing cybersecurity threats of 2025.&lt;/strong>&lt;/p>
&lt;p>You can &lt;a href="https://www.verizon.com/business/resources/reports/dbir/">download the full 2025 DBIR report from Verizon&amp;rsquo;s website&lt;/a>.&lt;/p></description></item><item><title>The Battle of the Brains: How OpenAI and Anthropic Are Shaping AI in 2025</title><link>https://magnus919.com/2025/04/the-battle-of-the-brains-how-openai-and-anthropic-are-shaping-ai-in-2025/</link><pubDate>Wed, 16 Apr 2025 14:30:00 -0400</pubDate><guid>https://magnus919.com/2025/04/the-battle-of-the-brains-how-openai-and-anthropic-are-shaping-ai-in-2025/</guid><description>&lt;h1 id="the-battle-of-the-brains-how-openai-and-anthropic-are-shaping-ai-in-2025">The Battle of the Brains: How OpenAI and Anthropic Are Shaping AI in 2025&lt;/h1>
&lt;p>Ever wondered what&amp;rsquo;s happening at the cutting edge of AI right now? I&amp;rsquo;ve been on a journey to discover the real differences between today&amp;rsquo;s top AI assistants, and I&amp;rsquo;m excited to share what I&amp;rsquo;ve learned with you. If you&amp;rsquo;ve been following tech news, you&amp;rsquo;ve probably heard about large language models (LLMs) from companies like OpenAI and Anthropic. These powerful AI systems are becoming increasingly sophisticated, and they&amp;rsquo;re changing how we work, create, and solve problems.&lt;/p></description></item><item><title>How New US Tariffs Are Shaking Up the Tech Industry in 2025</title><link>https://magnus919.com/2025/03/how-new-us-tariffs-are-shaking-up-the-tech-industry-in-2025/</link><pubDate>Sat, 29 Mar 2025 00:00:00 +0000</pubDate><guid>https://magnus919.com/2025/03/how-new-us-tariffs-are-shaking-up-the-tech-industry-in-2025/</guid><description>&lt;div class="info-box">
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 &lt;div class="info-content">
 This article is &lt;em>way&lt;/em> more heavily written by AI than most content on this site. Usually I&amp;rsquo;m the one doing the writing, but I&amp;rsquo;m using AI as an assistant. In this one, this article is mostly the output of a learning experiment to create a team of agents that would research, write, correct, and optimize an article based on a topic prompt. This one was written by OpenAI GPT-4o based agents.
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&lt;/div>

&lt;h1 id="how-new-us-tariffs-are-shaking-up-the-tech-industry-in-2025">How New US Tariffs Are Shaking Up the Tech Industry in 2025&lt;/h1>
&lt;p>Thinking about upgrading your phone or laptop anytime soon? You might want to hold off; at least until the latest wave of US tariffs settles in. And even if you’re not planning a purchase, these changes could still hit where it counts: your wallet, your cloud storage, even your upgrade timeline.&lt;/p></description></item><item><title>Inside the AIOS Bootcamp: How AI Agents Are Transforming Productivity in 2025</title><link>https://magnus919.com/2025/03/inside-the-aios-bootcamp-how-ai-agents-are-transforming-productivity-in-2025/</link><pubDate>Mon, 17 Mar 2025 16:13:37 -0400</pubDate><guid>https://magnus919.com/2025/03/inside-the-aios-bootcamp-how-ai-agents-are-transforming-productivity-in-2025/</guid><description>&lt;h1 id="inside-the-aios-bootcamp-how-ai-agents-are-transforming-productivity-in-2025">Inside the AIOS Bootcamp: How AI Agents Are Transforming Productivity in 2025&lt;/h1>
&lt;p>The recent AIOS Bootcamp at the All Things Open AI 2025 conference offered a fascinating glimpse into how artificial intelligence is rapidly evolving from simple chatbots into powerful productivity assistants and autonomous agents. Over a full day of presentations and live demonstrations, industry experts shared cutting-edge techniques for leveraging AI to automate complex workflows, enhance content creation, and streamline business operations.&lt;/p></description></item><item><title>Colophon</title><link>https://magnus919.com/colophon/</link><pubDate>Mon, 20 Jan 2025 21:00:45 -0500</pubDate><guid>https://magnus919.com/colophon/</guid><description>&lt;p>Essential tools:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="https://gohugo.io/">Hugo&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/adityatelange/hugo-PaperMod">PaperMod theme&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://code.visualstudio.com">Visual Studio Code&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://obsidian.md/">Obsidian&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://m.do.co/c/bfaf1d220090">DigitalOcean App Platform&lt;/a>&lt;/li>
&lt;li>AI is used as an assistant. I&amp;rsquo;m doing the writing, but with help (usually in the form of proof reading or helping with structure). I bounce around between a variety of tools.
&lt;ul>
&lt;li>&lt;a href="https://claude.ai/">Claude&lt;/a> - Often integrated with other tools like &lt;code>vscode&lt;/code>, Obsidian, AnythingLLM.&lt;/li>
&lt;li>&lt;a href="https://anythingllm.com/">AnythingLLM&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://ollama.ai/">Ollama&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://openwebui.org/">Open WebUI&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://chatgpt.com/">ChatGPT&lt;/a> - Largely Claude is replacing this. But I still use it some.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ul></description></item><item><title>Local AI Assistant on Mac</title><link>https://magnus919.com/2025/01/local-ai-assistant-on-mac/</link><pubDate>Wed, 08 Jan 2025 12:13:07 -0500</pubDate><guid>https://magnus919.com/2025/01/local-ai-assistant-on-mac/</guid><description>&lt;h1 id="introduction">Introduction&lt;/h1>
&lt;p>I&amp;rsquo;m writing this just before hopping on a long trans-atlantic flight. I&amp;rsquo;m not betting on the in-flight WiFi being very good, so I&amp;rsquo;m taking the time to get a local AI assistant running on my laptop. I think many travelers will be interested in setting something like this up, so I&amp;rsquo;d like to take the time to document a lot of how I&amp;rsquo;m doing this&amp;hellip; and hopefully make it easier for others to get it going.&lt;/p></description></item><item><title>Humble Tech Book Bundle: Machine Learning Engineer Masterclass by Packt</title><link>https://magnus919.com/notes/humble-book-bundles/machine-learning-engineer-masterclass/</link><pubDate>Mon, 06 Jan 2025 00:00:00 +0000</pubDate><guid>https://magnus919.com/notes/humble-book-bundles/machine-learning-engineer-masterclass/</guid><description>&lt;h2 id="about-the-bundle">About the Bundle&lt;/h2>
&lt;p>This bundle includes the following books:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="#Machine-Learning-Engineering-with-Python">Machine Learning Engineering with Python&lt;/a> by Andrew P. McMahon&lt;/li>
&lt;li>&lt;a href="##-Building-LLM-Powered-Applications"># Building LLM Powered Applications&lt;/a> by Valentina Alto&lt;/li>
&lt;li>&lt;a href="#XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis">XGBoost for Regression Predictive Modeling and Time Series Analysis&lt;/a> by Partha Pritam Deka, Joyce Weiner&lt;/li>
&lt;li>&lt;a href="#Mastering-NLP-from-Foundations-to-LLMs">Mastering NLP from Foundations to LLMs&lt;/a> by Gazit, Meysam Ghaffari&lt;/li>
&lt;li>&lt;a href="#Mastering-PyTorch">Mastering PyTorch&lt;/a> by Ashish Ranjan Jha&lt;/li>
&lt;li>&lt;a href="#Python-Feature-Engineering-Cookbook">Python Feature Engineering Cookbook&lt;/a> by Soledad Galli&lt;/li>
&lt;li>&lt;a href="#Hands-On-Genetic-Algorithms-with-Python">Hands-On Genetic Algorithms with Python&lt;/a> by Eyal Wirsansky&lt;/li>
&lt;li>&lt;a href="#The-Machine-Learning-Solutions-Architect-Handbook">The Machine Learning Solutions Architect Handbook&lt;/a> by David Ping&lt;/li>
&lt;li>&lt;a href="#Causal-Inference-and-Discovery-in-Python">Causal Inference and Discovery in Python&lt;/a> by Aleksander Molak&lt;/li>
&lt;li>&lt;a href="#TinyML-Cookbook">TinyML Cookbook&lt;/a> by Gian Marco Iodice&lt;/li>
&lt;li>&lt;a href="#RAG-Driven-Generative-AI">RAG-Driven Generative AI&lt;/a> by Denis Rothman&lt;/li>
&lt;li>&lt;a href="#15-Math-Concepts-Every-Data-Scientist-Should-Know">15 Math Concepts Every Data Scientist Should Know&lt;/a> by David Hoyle&lt;/li>
&lt;li>&lt;a href="#Machine-Learning-with-PyTorch-and-Scikit-Learn">Machine Learning with PyTorch and Scikit-Learn&lt;/a> by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili&lt;/li>
&lt;li>&lt;a href="#Machine-Learning-with-R">Machine Learning with R&lt;/a> by Brett Lantz&lt;/li>
&lt;li>&lt;a href="#Bayesian-Analysis-with-Python">Bayesian Analysis with Python&lt;/a> by Martin&lt;/li>
&lt;li>&lt;a href="#Causal-Inference-in-R">Causal Inference in R&lt;/a> by Subhajit Das&lt;/li>
&lt;li>&lt;a href="#Artificial-Intelligence-for-Cybersecurity">Artificial Intelligence for Cybersecurity&lt;/a> by Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras&lt;/li>
&lt;li>&lt;a href="#Modern-Time-Series-Forecasting-with-Python">Modern Time Series Forecasting with Python&lt;/a> by Manu Joseph, Jeffrey Tackes&lt;/li>
&lt;li>&lt;a href="#Python-Machine-Learning-By-Example">Python Machine Learning By Example&lt;/a> by Yuxi (Hayden) Liu&lt;/li>
&lt;li>&lt;a href="#LLM-Engineer%27s-Handbook">LLM Engineer&amp;rsquo;s Handbook&lt;/a> by Paul Iusztin, Maxime Labonne&lt;/li>
&lt;li>&lt;a href="#Deep-Reinforcement-Learning-Hands-On">Deep Reinforcement Learning Hands-On&lt;/a> by Maxim Lapan&lt;/li>
&lt;/ul></description></item><item><title>Humble Tech Book Bundle: Generative AI by Apress</title><link>https://magnus919.com/notes/humble-book-bundles/generative-ai-apress/</link><pubDate>Wed, 25 Dec 2024 00:00:00 +0000</pubDate><guid>https://magnus919.com/notes/humble-book-bundles/generative-ai-apress/</guid><description>&lt;h2 id="about-the-bundle">About the Bundle&lt;/h2>
&lt;p>This bundle includes the following books:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="#Explainable-AI-Recipes">Explainable AI Recipes&lt;/a> by Pradeepta Mishra&lt;/li>
&lt;li>&lt;a href="#Machine-Learning-for-Decision-Makers">Machine Learning for Decision Makers&lt;/a> by Patanjali Kashyap&lt;/li>
&lt;li>&lt;a href="#ChatGPT-for-Java">ChatGPT for Java&lt;/a> by Bruce Hopkins&lt;/li>
&lt;li>&lt;a href="#AI-Chatbots">AI Chatbots&lt;/a> by James Crowder&lt;/li>
&lt;li>&lt;a href="#Normalization-Techniques-in-Deep-Learning">Normalization Techniques in Deep Learning&lt;/a> by Lei Huang&lt;/li>
&lt;li>&lt;a href="#Creative-Prototyping-with-Generative-AI">Creative Prototyping with Generative AI&lt;/a> by Patrick Parra Pennefather&lt;/li>
&lt;li>&lt;a href="#Interfaceless:-Conscious-Design-for-Spatial-Computing-with-Generative-AI">Interfaceless: Conscious Design for Spatial Computing with Generative AI&lt;/a> by Diana Olynick&lt;/li>
&lt;li>&lt;a href="#Artificial-Intelligence-in-Vision-Based-Structural-Health-Monitoring">Artificial Intelligence in Vision-Based Structural Health Monitoring&lt;/a> by Khalid M. Mosalam, Yuqing Gao&lt;/li>
&lt;li>&lt;a href="#Applied-Generative-AI-for-Beginners">Applied Generative AI for Beginners&lt;/a> by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada&lt;/li>
&lt;li>&lt;a href="#Empowering-the-Public-Sector-with-Generative-AI">Empowering the Public Sector with Generative AI&lt;/a> by Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding&lt;/li>
&lt;li>&lt;a href="#Understanding-Generative-AI-Business-Applications">Understanding Generative AI Business Applications&lt;/a> by Irena Cronin&lt;/li>
&lt;li>&lt;a href="#The-Early-Career-Professional%e2%80%99s-Guide-to-Generative-AI">The Early-Career Professional’s Guide to Generative AI&lt;/a> by Jonas Bjerg&lt;/li>
&lt;li>&lt;a href="#Large-Language-Models-Projects">Large Language Models Projects&lt;/a> by Pere Martra&lt;/li>
&lt;li>&lt;a href="#Introduction-to-Responsible-AI">Introduction to Responsible AI&lt;/a> by Avinash Manure, Shaleen Bengani, Saravanan S&lt;/li>
&lt;li>&lt;a href="#Building-Generative-AI-Powered-Apps">Building Generative AI-Powered Apps&lt;/a> by Aarushi Kansal&lt;/li>
&lt;li>&lt;a href="#Generative-AI">Generative AI&lt;/a> by Tom Taulli&lt;/li>
&lt;li>&lt;a href="#AI-and-the-Law">AI and the Law&lt;/a> by Harry Borovick&lt;/li>
&lt;li>&lt;a href="#Generative-Artificial-Intelligence">Generative Artificial Intelligence&lt;/a> by Shivam R Solanki, Drupad K Khublani&lt;/li>
&lt;li>&lt;a href="#Exploring-the-Power-of-ChatGPT">Exploring the Power of ChatGPT&lt;/a> by Eric Sarrion&lt;/li>
&lt;li>&lt;a href="#Artificial-Intelligence-and-Human-Evolution">Artificial Intelligence and Human Evolution&lt;/a> by Ameet Joshi&lt;/li>
&lt;li>&lt;a href="#Predicting-the-Unknown">Predicting the Unknown&lt;/a> by Stylianos Kampakis&lt;/li>
&lt;li>&lt;a href="#Transforming-Conversational-AI">Transforming Conversational AI&lt;/a> by Michael McTear, Marina Ashurkina&lt;/li>
&lt;li>&lt;a href="#Brain-Rush">Brain Rush&lt;/a> by Peter Cohan&lt;/li>
&lt;li>&lt;a href="#ChatGPT-for-Beginners">ChatGPT for Beginners&lt;/a> by Eric Sarrion&lt;/li>
&lt;/ul></description></item></channel></rss>