The curious case of AI theft  ## Metadata - Author: [[Matt Medeiros]] - Full Title: The curious case of AI theft - Category: #articles - Document Note: --- tags: - #AIethics - #WordPress - #opensource Author: Matt Maderios Source: YouTube Video – The curious case of AI theft by Joe Casabona Reference: https://www.youtube.com/watch?v=tJ2PQToxzAs date created: 2025-06-10 17:50 --- # Title: The Curious Case of AI Theft: Ethical Challenges in AI-Assisted WordPress Development ## Table of Contents:  - [📝 Summary](#-summary) - [📖 Main Content](#-main-content) - [🗒️ Notes](#-notes) - [📖 References](#-references) - [🗣️ Paraphrase](#-paraphrase) - [📰 Newsletter](#-newsletter) - [✅ Action Items](#-action-items) - [🧪 Hypotheses](#-hypotheses) - [📊 Methodology](#-methodology) - [❓ Questions](#-questions) - [🔮 Future Research](#-future-research) - [💡 Implications](#-implications) - [🧠 Learning Styles Assessment](#-learning-styles-assessment) - [📊 Accessibility Assessment](#-accessibility-assessment) - [🌍 DEIB Assessment](#-deib-assessment) - [✅ Logical validity](#-logical-validity) - [🔍 DARVO Analysis](#-darvo-analysis) - [🔍 SEO Evaluation](#-seo-evaluation) - [🎯 Conclusion](#-conclusion) ### References: - Casabona, Joe. "The curious case of AI theft." YouTube, 2023. https://www.youtube.com/watch?v=tJ2PQToxzAs - WP Minute Live Stream with Mark Demansky: linked in video notes. ## 📝 Summary: This video addresses the ethical and practical concerns around AI’s role in WordPress development, particularly focusing on the use of AI models trained on vast amounts of publicly available code without explicit consent. The creator explores the tension between AI-assisted productivity and the value of original authorship, while advocating cautious optimism. He contextualizes AI content “theft” within broader internet history, including Google's use of content for SEO and monetization, emphasizing open-source culture’s role in code reuse and remixing. The discussion highlights fragmented AI adoption, marketplace competition, and evolving developer practices amid rapid AI advancement. ## 📖 Main Content: Joe Casabona responds to a comment expressing frustration about AI’s unfiltered copying of original code, raising ethical questions on authorship and compensation. He acknowledges the legitimacy of these concerns but balances them with a historical perspective on content sharing and re-use in tech and creative fields. The speaker reflects on Google’s historical role in leveraging and monetizing content through SEO, which parallels AI’s current reliance on scraped data. He outlines the chaotic, competitive AI landscape and fragmented adoption, noting that widespread use depends on major tech companies consolidating AI integration into consumer devices. The video stresses AI’s dual nature: accelerating coding productivity while sparking debates over originality and ownership. Open source is positioned as a space where code sharing is normative, complicating AI’s “stealing” narrative. Casabona ultimately encourages thoughtful use of AI tools with expert consultation, recognizing their inevitability in coding’s future. ### 🗒️ Notes - [00:03](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=3) Introduction: AI’s impact on WordPress development and community concerns. - [01:31](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=91) Viewer comment highlights AI’s indiscriminate copying and its effect on original code authors. - [02:00](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=120) Acknowledgement of concerns, exploration of AI sustainability, cautious optimism. - [03:13](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=193) Market fragmentation and competition slow down AI adoption and integration. - [04:44](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=284) Google’s history of “stealing” content via SEO algorithms parallels AI’s data sources. - [06:26](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=386) Monetization through closed platforms reducing traffic to original content creators. - [07:44](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=464) AI’s potential to speed coding, but with moral questions on code theft. - [09:10](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=550) Reality of widespread code reuse and the blurred line between copying and creation. - [10:47](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=647) The open-source model embraces code sharing and repurposing; AI tools follow this tradition but lack explicit attribution. - [11:44](https://www.youtube.com/watch?v=tJ2PQToxzAs&t=704) Experimental AI use cautioned; recommendation to consult experts and lawyers before production deployment. ## 📖 References: - Joe Casabona’s YouTube channel and WP Minute live streams. - Comments from WordPress developer community. - Historical SEO and Google’s content monetization strategies. ## 🗣️ Paraphrase: 1. Original: “Everyone wants free until the invoice that pays their check. Just because it’s cheap and easy does not mean it’s right or just.” Paraphrase: People enjoy free access until they face the cost behind it; affordability doesn’t guarantee fairness or ethical correctness. 2. Original: “In open source, this is what it is. I built it for you. You have access to it. Now, go enrich it and reuse it in your project.” Paraphrase: Open source thrives on sharing; the creator provides code freely, encouraging others to improve, adapt, and integrate it into their own work. ## 📰 Newsletter: In this issue, we confront the growing debate about AI in web development—particularly its impact on originality, ethics, and the open-source ecosystem. Joe Casabona explores how AI models, often trained on publicly available code, raise questions about “theft” and authorship in WordPress development. While AI accelerates coding speed, it also challenges traditional notions of ownership and creativity. This discussion invites us to balance cautious optimism with critical evaluation as AI reshapes our community’s workflows. Stay tuned for insights on ethical AI adoption, and how to responsibly integrate these powerful tools without compromising the values of openness and respect in our developer culture. ## ✅ Action Items: - Lead educational sessions on ethical AI use in WordPress and open-source development, emphasizing transparency and respect for original work. - Develop guidelines for AI-generated code attribution and licensing compliance within contributor workflows. - Advocate for sustainable funding models that recognize creators’ rights amid AI integration. - Support community dialogue on AI’s benefits and pitfalls, fostering inclusivity and diverse perspectives. - Collaborate on tools that track AI training data provenance and promote responsible reuse. - Incorporate AI literacy into onboarding programs for new open-source contributors. - Align AI discussions with OSPO principles of transparency, inclusivity, and contributor empowerment. ## 🧪 Hypotheses: - Explicit attribution mechanisms for AI training datasets increase creator trust and acceptance of AI-generated content. - Community education on AI ethics reduces resistance and fosters balanced adoption in open-source projects. - Integrating AI code generation with license-aware tools decreases legal risks for developers and organizations. ### 📊 Methodology: - Survey open-source developers on perceptions of AI-generated content and attribution practices. - Experimental deployment of AI tools with and without attribution mechanisms, measuring trust and usage metrics. - Legal analysis of current AI code licensing conflicts and proposed attribution frameworks. ### ❓ Questions: - How can AI tools be designed to respect original authorship without compromising functionality? - What policies can OSPOs implement to ensure ethical AI integration? - How might AI reshape the culture of code sharing in open source? - Can AI foster greater inclusion or exacerbate inequities in software development? ### 🔮 Future Research: - Long-term impact of AI on open-source contribution patterns and project sustainability. - Development of AI systems capable of automatic license detection and compliance. - Socio-technical studies on AI’s effect on developer identity and community norms. ### 💡 Implications:  - Enhanced AI transparency could lead to new standards in software licensing and attribution. - Balanced AI adoption may accelerate innovation while preserving open-source values. - Policies and education will be crucial to mitigate ethical risks and legal challenges. ### 🧠 Learning Styles Assessment: - Visual: Present—video format and code examples; improve with diagrams of AI training flow and licensing impact. - Aural: Present—narration and conversational style; improve with podcasts and audio summaries. - Verbal: Present—rich language and analogies; improve with supplementary reading and glossary. - Physical: Limited—could add interactive ethical scenarios or coding exercises. - Logical: Present—structured argumentation; improve with flowcharts of argument logic. - Social: Present—encourages community dialogue; improve by organizing discussion forums. - Solitary: Present—reflection on ethical questions; improve with journaling prompts. - Naturalistic: Minimal—could introduce metaphors linking AI to natural evolution/adaptation. ### 📊 Accessibility Assessment: - Screen Reader: Transcript accessible, but video lacks alt-text. Recommend captions and descriptive audio. - Keyboard Navigation: Not applicable for video but recommend accessible website design for related content. - Contrast: Video UI clear; text is readable. - Text Resizing: Video subtitles scale well; website content should allow resizing without layout breakage. ### 🌍 DEIB Assessment: - Cultural Relevance: Mostly Western developer perspective; recommend including diverse global voices. - Inclusive Language: Neutral and professional. - Neurodiversity: Clear structure with bullet points aids comprehension. - Representation: Speaker is male; encourage featuring diverse community members. - Psychological Safety: Open tone fosters respectful dialogue; could add trigger warnings for sensitive content. ### ✅ Logical validity:  - Sound Deductive Reasoning: The connection between AI training data origins and ethical concerns is clearly established. - Strong Inductive Reasoning: Real-world examples from Google and open source support arguments. - Coherent Counterarguments: Acknowledges both AI benefits and ethical dilemmas. - Balanced Views: Avoids alarmism, encourages cautious optimism. - Logical Flow: Ideas progress clearly from problem to reflection. - Minor Fallacy: Slight **Appeal to Tradition** when defending open source practices, which might overlook new AI-specific challenges. - Suggestion: Include more empirical evidence on AI’s impact on developer behavior. ### 🔍 DARVO Analysis: - No denial or attack found; speaker acknowledges concerns without deflecting. - No reversal of victim and offender roles; discussion is balanced. - Tone is empathetic to both creators and users of AI. - No rhetorical tactics that manipulate perception detected. ### 🔍 SEO Evaluation: - Keywords: “AI theft,” “WordPress AI ethics,” and “open source AI” well integrated. - Meta Description: None present, should be added for discoverability. - Title Tag: Clear, concise, includes key terms. - Headers: Logical and keyword rich. - Content Length: Sufficient depth for intended audience. - Internal/External Links: External to YouTube and WP community present; internal could be added for SEO. - URL Structure: YouTube URL is clean. - Image Optimization: Not applicable. - Mobile Optimization: Video is mobile-friendly; transcript could be formatted responsively. - User Engagement: Calls to action encourage comments and sharing. - Schema Markup: Would benefit from FAQ and video schema on a dedicated article page. - Social Sharing: Social buttons on platform; encourage sharing in WordPress communities. ## 🎯 Conclusion:  Joe Casabona’s video insightfully addresses the ethical complexities AI introduces in WordPress development and open source. While AI accelerates workflows, it challenges traditional authorship and raises questions about code ownership and fairness. The video balances criticism with a hopeful outlook, situating AI within a long history of content reuse and remixing. It calls for responsible AI adoption, clear attribution, and sustained community dialogue to ensure technology enhances rather than undermines creative and collaborative development ecosystems. - Summary: In this off-the-cuff response episode, I react to a pointed comment left on a recent YouTube live stream I hosted with Mark Z. Mansky. The topic? AI and its role in the WordPress ecosystem—something I think about a lot both at Gravity Forms and through the work I do with The WP Minute. The commenter, frustrated by AI's use of "stolen" code and content, challenged the moral and ethical implications of using AI in development and creative work. So, I took a beat to respond—not as a definitive authority, but as someone also trying to navigate this shifting landscape. This episode is less polished, more personal. I dive into the contradictions and moral gray areas we’re all grappling with as AI tools become more accessible and influential. I share my cautiously optimistic view of where this tech is heading, and why I think adoption will remain uneven due to competition, complexity, and user habits. I also challenge the notion that AI is the first to commoditize creativity—Google did it long ago with SEO and structured data. It’s not about blindly defending AI. I’m right there with you asking, “Is this sustainable?” and “Where does this leave original creators?” But I also can’t ignore the reality: this isn’t new. Developers (and creators) have always borrowed, repurposed, and remixed—AI just happens to be doing it at warp speed. This conversation is a reminder that these tools didn’t invent the game—they're just playing it faster. Key Takeaways * “I’m not saying AI will take over everything, but it’s not going away either.” * “Google gamified the entire internet before AI ever did. SEO was the original MMORGP.” * “Copy-paste culture in coding isn’t new. AI just made it instant.” * “In open source, sharing and remixing code is the whole point—so where do we draw the line?” * “We need to explore this tech critically, not evangelize it blindly.” URLs Mentioned * https://www.youtube.com/live/fIYMsn3DcPI ( https://www.youtube.com/live/fIYMsn3DcPI ) Matt Report Episod... - URL: https://www.youtube.com/watch?v=tJ2PQToxzAs All right, I just got this comment on myYouTube channel from a live stream thatMark Demansky and I did yesterday onthe WP Minute YouTube channel. I'llgo ahead and link this live stream inthe show notes below. This is largelyoff the cuff, literally just readingthis. So, I figured, why not make anemotional response that is not wellthought out on a podcast episode, becausethat's what we do here. So, in thislive stream, we generally talked about AI —like what's next for WordPress, what'snext for AI when it comes to thework that we do building websites, consulting clients, or just livingin the WordPress ecosystem. The things that I do at myday-to-day role at Gravity Forms involveconstantly exploring what customersare looking for, how Gravity Forms canhelp meet those needs, whatthe pain points are, and trying tolook ahead at the market. Ofcourse, from the WP Minute side, I'mlargely having interviews talking toother people doing the same thing. Howdo we build with WordPress, but also howdo we survive in this crazy AI world? This comment from Jason, um,MK3N. He says, "You lost me at AI whenthe machines are taught by people tocopy others' work indiscriminately. The value of the originalauthors is just the cost of a prompt. Everyone wants free until the invoicethat pays their check. Just because it'scheap and easy does not mean it's rightor just." He says, and he has anothercomment. He's probably commenting ashe's watching. Let me ask you thisquestion: when are you goingto say when you find that one of themodels directly copied your work and youspent an enormous amount of time on?There are a lot of us out there stilltrying to write original code, and you'repromoting tools that steal the code as amatter of business with absolutely zerodiscrimination. Would I share the codewith either of you? Probably not. But whosechoice is it that should be given?Listen, Jason, and anyone else, I havethese same concerns 100%. But there’s alot of threads of thought here, many ofwhich I don’t have the answers to. But Iwill push back and just ask thequestions. First and foremost, I amexploring this as well. What is thesustainability of AI, I'm of the mindset of beingcautiously optimistic. That's where Islot myself into this space that we'rein right now. I do not think that AI istaking over everything. It isnot doomsday, as many people say, and I'vetalked about this in previous episodeshere, largely because humans are slow toadopt this kind of radicalchange. As I use AI for the stuff that Ido, I still don’t see it being a home runevery time I ask it to do something. I amstill largely pushing a big boulder up ahill. I realize there are others that arefinding a lot of success, but I don’tknow what that success really is. I seea lot of hype success, but I don’t knowreally where people are winning, otherthan building stuff, saving a bunch oftime, and then talking about it. Uh,and then the third thing that I think isreally going to slow this down is thegeneral competition of it all. These companies will battle eachother and try to regulate each other, and it’s just amess because they’re all going totry to figure out how to make the mostmoney with this stuff. I think thatThat just slows it down. On one hand,they're all going to push to theseexciting boundaries, and we're like, "Ohmy god, look at all this stuff." Buthumans won't adopt any of it or all ofit all at once, and every company comingout is constantly in competition witheach other. That will actually slow itdown because it's a fragmentedexperience, and you can't get all of itin one place. Like Google and Applewould really have to win to have AI oneveryone's phones and computers in orderto get this to a level where themajority of the population can leverageAI, and at that point, how much powerand access do people need for this to bea thing that everyone can use and adopton a daily basis? Okay, lots of thoughts. All of this to say is I agree with the fact thatyou're saying, "Oh, you're just takingcode to, uh, you're just copying otherpeople's code." Well, Google, I mean,hello. Have you been using Google forthe last 20 years? That was Google's MMOfor the entire internet. It was toencourage people to use, well, obviously,to make websites to improve the speedand performance of your website and all. By the way, let's dangle this carrot ofthis thing called SEO, where we're notit was a game. It was literally thebiggest MMO RPG game that everexisted. It was to say, "Oh, we got thisalgorithm over here behind the scenes.You can't figure it out. We'll danglesome stuff out there; you figure it outand we'll build up this whole industrycalled SEO, where you can kind of likegify the system to grow, or what we'llcall organic traffic to your website bytrying to figure out the formula forranking. Oh, but you don't want that.Well, just like Fortnite or World ofWarcraft, you can buy your way to thatend game by just paying for Google ads,right? That's what the whole freakingfoundation of Google was built off of.It was built off of stealing content andtricking people to do structured dataandAMP, right? Remember that? This is whatGoogle has done to the internet and allof us as contentcreators: taken our data, enriched it,slapped it into their search engine. I'mobviously making generalizations here,so bear with me. And then serving upthat content in a faster, more uh closedPlatform way. When you see that kindof data at the top of search results,whether that's like business hours,email, website address, these littleprofile cards on the right-hand side,photos, and other social links. Itbasically said, "Hey, over the years, make content, make it fast. Here's howyou can help it rank. By the way, youare trying to make it rank; buy our ads."And then as that started to dry out, itwas like, "Oh, we can make more moneybecause look at Facebook and Twitter andthese social platforms that have theseclosed wall gardens. They’re monetizingdata. How do we do that? Oh, let's takethe data instead of sending that personto the website. Let me just show youthat data in the search result." Andthen people will never visit yourwebsite and they’ll just get the resultsright there. I mean, we took yourdata, and now here we are. All AI haslearned off the back of Google. It stolea bunch of data from us, and then itlearned from us. So Jason, I’m withyou. I totally understand what you’resaying. Am I encouraging people to goand use this AI stuff? No. I’m notGobuild your coding career. I'mnot saying that. But I'm also looking atthis and thinking I don't think it's goingaway. It might not take over the world,but it's not going away. At somecapacity, this iteration of coding withAI, I think, is here to stay. Theidea of being able to code faster ishere to stay. I can't help it. Firstof all, we're like, how do we know it'sstealingcode? We know it's stealing content. Stealing content is very easybecause if you ask for a top 10 anythingin, let's say, ChatGPT or any otherplatform, I bet you can mirror that to atop-ranking blog post that's giving thesame 10 results, and in fact, sometimes itcites it. I've yet to see any ofthese AI platforms cite a GitHubrepo that it's taken from. Um, so Ihaven't actually seen it. You cansay that it's stealing the code, and I'mkind of right there with you, buthow do you prove it as easily asthe content that it's stolen? I don'thave the answer for that. I would justpush back on that. Let's just go astepFurther, I'm not a developer, but I'vebeen in open source and I’ve been in this space for a while. There are a lot of people who are like me, who say they are developers and are not. I refuse to call myself a developer, but I bet if you got 10,000 people in the room who said they were developers,I bet I’m a better developer than a nice chunk of those people. Right? Because I think there are people who have built a career off of copying and pasting, going to any online forumor any kind of place that has code snippets. I’m literally forgetting the site that we would all go to and copy snippets of code right now.It's really aggravating me that I can’t remember in this thread of thought, but there are so many people that havecopy-pasted code over the years and called themselves developers. Now, just like AI is giving it to you in 0.1 seconds. Okay, I'm right there with you waving that moral flag, but humans have been doing this for years anyway.So, I don’t know where you win on that argument. Second, in the open-source world, I would probably like to maybeTrigger you a little bit, I would say,well, who cares? Because in open-source,this is what it is. Here's a set of code. I built it for you. You have access to it.Now, go enrich it and reuse it, repurpose it in your project.Now, obviously with certain licensing yougive credit back depending on what it is, but in the world of WordPress,it is very common to see big projects forked.People taking chunks of code, doing thisand building other products that are directly monetizing it. So to sit back and say, "Hey, you're encouraging people tobuild on AI and it's just stealing codefrom everybody." I get your moral high ground.I totally do. But it's not a point that I think reallyholds ground in the court of coding AIlaw. I don't know. But like humans have been doing this forever.We've all been building off of looking at somebody else's work. Whether it's code or a blog post, we've all said,"Huh, look at that person's blog post. Boy, they rank firston Google for that. Let me writesomething similar." That's the game andhas been the game for code and product forever.Uh, and in the offline world, look at that product that sells. Really well. That Coca-Cola thing ispretty good. How about we make thisPepsi thing, right? I totally get it.And I totally get the romanticism of youwriting code and having something great.I feel the same way as an artistcreating audio, video, content, and allthis other stuff that I do. I’m 100%there with you. But how much are yougoing to fight that? And at the end ofthe day, don’t accuse me of likewaving the flag to go steal otherpeople’s stuff. This is inherently builtinto these tools that we are using nowand experimenting with. In all of thework that I do when I put out videosabout AI, I have the same disclaimers. Iwouldn’t use this in production. Speakwith an expert. Speak with yourattorney. This is all experimental. I amlearning just like you., The curious case of AI theft, Matt Medeiros, 01jxe1wrf9cv2qejv829k366ja.