Code Purists Have Lost the Plot on AI - CourtneyR.dev's 2nd Brain

Code Purists Have Lost the Plot on AI ![rw-book-cover](https://img.youtube.com/vi/T4YGN_BGdFU/maxresdefault.jpg) 🔗 **Source:** [Code Purists Have Lost the Plot on AI](https://www.youtube.com/watch?v=T4YGN_BGdFU) > [!note]+ Document Notes > tags: #ai-coding #developer-education #gatekeeping > author: Modern Web > source: YouTube > reference: https://www.youtube.com/watch?v=T4YGN_BGdFU > date created: 2024-12-19 16:45 > > # 🏷️ Title: Code Purists Have Lost The Plot On AI >  ## 🧰 Action Inbox - [H1] Evaluate your position on the developer knowledge ladder — consider how to better utilize AI tools #ai-coding - [H2] Champion others learning with AI rather than gatekeeping — actively encourage skill development #developer-education - [H3] Reassess AI tool adoption strategy — balance code quality concerns with productivity gains #gatekeeping ## 🧭 Table of Contents - [[#📝 Summary]] - [[#📖 Main Content]] - [[#🗒️ Notes]] - [[#📚 References]] - [[#🗣️ Paraphrase]] - [[#📰 Newsletter]] - [[#✅ Action Items]] - [[#🧪 Hypotheses]] - [[#📊 Methodology]] - [[#❓ Questions]] - [[#🔮 Future Research]] - [[#💡 Implications]] - [[#🧠 Learning Styles Assessment]] - [[#📊 Accessibility Assessment]] - [[#🌍 DEIB Assessment]] - [[#✅ Logical Validity]] - [[#🛡️ DARVO Analysis]] - [[#🎯 Conclusion]] ### 🔗 References - [Modern Web YouTube Channel](https://www.youtube.com/@ModernWeb) - [AI Coding Tools Discussion](https://www.youtube.com/watch?v=T4YGN_BGdFU) ## 📝 Summary - A self-described "non-trained developer" addresses criticism about using AI coding tools for learning and content creation - Argues that code purists who gatekeep AI usage are hindering others' learning progress - Claims most web development work involves non-innovative patterns that AI handles well - Advocates for experienced developers to champion rather than discourage AI-assisted learning - Predicts AI will become increasingly capable, making resistance counterproductive ## 📖 Main Content The creator responds to comments criticizing AI-assisted coding content, arguing that developer gatekeeping around AI tools is counterproductive. He positions himself as someone climbing the "knowledge ladder" using AI to learn technologies like Next.js, Node.js, and Supabase. The core argument centers on a hierarchy metaphor: experienced developers at the top of the ladder should encourage rather than discourage those below who are using AI to ascend. He contends that most web development involves recycling existing patterns—exactly what AI excels at—since it was trained on human-created code. The creator acknowledges concerns about AI hallucinations and code quality but argues these concerns are overblown, comparing AI imperfection to human imperfection. He predicts that resistance to AI coding tools will prove shortsighted as the technology improves. ## 🗒️ Notes #### ⏱️ [00:00](https://youtu.be/T4YGN_BGdFU?t=0) — [H1] Understanding baseline perspectives in AI discussions - Key idea: Productive AI dialogue requires understanding where each person stands in their experience and perspective - Evidence: "You need to know where they are and where you are so you have like an actual like good dialogue" #### ⏱️ [01:15](https://youtu.be/T4YGN_BGdFU?t=75) — [H2] Self-identification as non-trained developer - Key idea: Creator positions himself as someone who went to school but didn't follow traditional software engineering path - Evidence: "I am somebody that has always called myself not a trained developer" #### ⏱️ [02:30](https://youtu.be/T4YGN_BGdFU?t=150) — [H1] Prediction about AI code quality skeptics - Key idea: Developers who insist on human review of every AI-generated line will likely be proven wrong - Evidence: "I think you're going to be wrong on that in the long term because the AI agents are already really good" #### ⏱️ [03:45](https://youtu.be/T4YGN_BGdFU?t=225) — [H2] Knowledge ladder concept with AI utilization - Key idea: Some people with less technical knowledge are succeeding by leveraging AI tools that others resist - Evidence: "There are people right now making a ton of money... they probably know less than you. But they're utilizing the tools" #### ⏱️ [05:00](https://youtu.be/T4YGN_BGdFU?t=300) — [H1] Most web development lacks innovation - Key idea: Common web patterns are perfect use cases for AI since they're recycled solutions - Evidence: "Most of the websites I see they're not innovative at all. They're the same types of patterns reused, recycled" #### ⏱️ [06:15](https://youtu.be/T4YGN_BGdFU?t=375) — [H1] AI trained on human knowledge foundation - Key idea: AI's training on human-created code makes it a logical tool for common development tasks - Evidence: "Humans have already built the shit, AI indexed it all and now you're utilizing all of that knowledge" #### ⏱️ [07:00](https://youtu.be/T4YGN_BGdFU?t=420) — [H1] Criticism of gatekeeping behavior - Key idea: Experienced developers who discourage AI-assisted learning are actively harmful - Evidence: "If you don't champion that behavior, you're part of the problem... you're actively trying to combat people moving up the ladder" #### ⏱️ [08:30](https://youtu.be/T4YGN_BGdFU?t=510) — [H2] Learning journey with AI tools - Key idea: Creator shares experience learning Next.js, Node.js, and Supabase through AI assistance - Evidence: "I didn't know what any of this shit was before... And now I'm utilizing them, putting them together" #### ⏱️ [09:15](https://youtu.be/T4YGN_BGdFU?t=555) — [H3] Response to AI hallucination concerns - Key idea: AI imperfection doesn't disqualify it as a learning tool since humans are also imperfect - Evidence: "It was trained on human knowledge. It might not be perfect, but bro, like were you perfect?" #### ⏱️ [10:00](https://youtu.be/T4YGN_BGdFU?t=600) — [H2] Call for encouragement over gatekeeping - Key idea: Developers should encourage others using AI to learn rather than discouraging them - Evidence: "If you see somebody trying to ascend... encourage them. Don't belittle them" ## 📚 References - [Original Video](https://www.youtube.com/watch?v=T4YGN_BGdFU) - [Modern Builder Society Community](https://modernweb.com) ## 🗣️ Paraphrase - Developers exist on a skill ladder, and those higher up should help others climb rather than gatekeeping AI tools that can accelerate learning - Most web development involves repeating established patterns, making it ideal for AI assistance since AI learned from human-created examples - Resistance to AI coding tools is likely counterproductive given the technology's rapid improvement and growing capabilities ## 📰 Newsletter The ongoing debate about AI in development continues heating up! A content creator recently pushed back against "code purists" who criticize AI-assisted learning and coding. His key insight? Most web development involves recycling established patterns—exactly what AI excels at. The discussion highlights an important dynamic: experienced developers can either gatekeep AI tools or champion their use for learning. As AI capabilities rapidly improve, the choice to encourage or discourage AI-assisted skill development may significantly impact the next generation of developers. Whether you're team human-only or AI-assisted, the core message resonates: help others climb the knowledge ladder rather than kicking it out from under them. Resources: [Learn WordPress](https://learn.wordpress.org/), [Developer Docs](https://developer.wordpress.org/), [WP-CLI](https://wp-cli.org/) ## ✅ Action Items #### DevRel - Developer advocacy: Create content addressing AI tool adoption concerns and benefits - Education: Develop workshops on effective AI-assisted coding practices - Developer experience: Evaluate AI integration in documentation and learning resources - Community management: Foster discussions about AI tools without gatekeeping #### WordPress - Core: Consider implications of AI-assisted contributions to WordPress core - Training: Develop lesson plans incorporating AI tools for learning WordPress development - Community: Address concerns about AI usage in WordPress development community - Documentation: Explore AI assistance for improving developer documentation ## 🧪 Hypotheses - Developers who embrace AI tools for learning will advance faster than those who reject them entirely - Gatekeeping around AI usage creates artificial barriers that slow overall community skill development - Most criticism of AI coding tools stems from fear of skill devaluation rather than legitimate technical concerns - AI-assisted learning will become the norm for new developers entering the field ### 📊 Methodology - Survey developers on AI tool usage and learning outcomes over 6-month periods - Compare skill progression between AI-assisted and traditional learning cohorts - Analyze code quality metrics from AI-assisted vs. human-only development projects ### ❓ Questions - How can experienced developers effectively mentor AI-assisted learners? - What balance of AI assistance and fundamental understanding produces the best developers? - How should coding education adapt to widespread AI tool availability? ### 🔮 Future Research - Long-term career outcomes for developers who learned with heavy AI assistance - Impact of AI tools on code review and mentorship practices - Evolution of developer skill requirements in an AI-augmented environment ### 💡 Implications - Practice: AI tools may become standard in developer workflows and learning - Education: Coding curricula may need to incorporate AI assistance as a core skill - Community: Developer communities must balance quality standards with inclusive AI adoption - Mentorship: Senior developers' role may shift toward guiding AI-assisted learning ### 🧠 Learning Styles Assessment Reading level estimate: 8th grade (conversational, accessible tone) #### 👀 Visual learners - Present: None in video format - Improve: Knowledge ladder diagram, AI tool comparison charts #### 🔊 Aural learners - Present: Video format with clear narration - Improve: Structured audio summary highlighting key points #### 🗣️ Verbal learners - Present: Conversational explanations, analogies (ladder metaphor) - Improve: Glossary of AI coding terms, more detailed examples #### 🧩 Kinesthetic learners - Present: References to hands-on coding experience - Improve: Interactive AI coding exercises, step-by-step tutorials #### 🧠 Logical learners - Present: Structured argument about AI adoption - Improve: Decision framework for AI tool selection, progression metrics #### 🧑‍🤝‍🧑 Social learners - Present: Community discussion prompts, response to comments - Improve: Facilitated discussions, peer coding sessions with AI tools #### 🧘‍♀️ Solitary learners - Present: Individual reflection on skill development - Improve: Self-assessment rubrics, personal learning plans #### 🌿 Naturalistic learners - Present: References to natural learning progression - Improve: Learning ecosystem analogies, organic skill development models ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Video has clear verbal content - Improve: Full transcript with proper heading structure #### Keyboard navigation - Present: Standard YouTube controls - Improve: Timestamped navigation for key sections #### Contrast and readability - Present: Standard video player interface - Improve: High contrast mode for video player #### Media and captions - Present: Auto-generated captions available - Improve: Human-reviewed captions, full transcript download #### Standards reference - Video content accessible but lacks comprehensive transcript formatting ### 🌍 DEIB Assessment #### Cultural breadth - Present: Focus on general developer community - Improve: Examples from different coding cultures, global perspectives #### Inclusive language - Present: Strong language may alienate some audiences - Improve: More professional tone while maintaining authenticity #### Neurodiversity support - Present: Clear conversational structure - Improve: Content warnings for strong language, clearer section breaks #### Representation - Present: Single perspective from self-taught developer - Improve: Multiple voices, diverse developer backgrounds #### Psychological safety - Present: Encourages learning without judgment - Improve: Stronger community guidelines, clearer support resources ### ✅ Logical Validity #### Strong reasoning - Analogical strength: Knowledge ladder metaphor effectively illustrates skill hierarchy - Inductive strength: Uses specific examples to support broader claims about AI adoption - Causal reasoning: Links gatekeeping behavior to negative learning outcomes #### Fallacies - Ad hominem: Attacks critics as "assholes" rather than addressing arguments directly - False dichotomy: Presents choice as either full AI acceptance or complete rejection - Appeal to consequences: Argues position is correct based on predicted outcomes #### Tone of voice - Overall tone: Confrontational but passionate, uses strong language that may alienate some audiences ### 🛡️ DARVO Analysis - Deny: Minimizes legitimate concerns about AI code quality and learning depth - Attack: Directly attacks critics as gatekeepers and obstacles to progress - Reverse victim/offender: Positions himself as victim of unfair criticism while attacking critics - Emotional cues and rhetoric: Uses aggressive language and profanity to dismiss opposing viewpoints ## 🎯 Conclusion The creator makes valid points about encouraging AI-assisted learning and avoiding gatekeeping behaviors in the developer community. However, the argument would be stronger with a more balanced acknowledgment of legitimate concerns about AI tool usage and a less confrontational tone. The core message—that experienced developers should mentor rather than discourage AI-assisted learners—remains valuable despite delivery issues. ## 🧱 Refactor Appendix ### 📚 Literature Split Pad ### [H1] AI coding tools enable rapid skill acquisition > [!quote] Code Purists Have Lost The Plot On AI by Modern Web via YouTube. Published 2024. Accessed 2024-12-19. > "There are people right now making a ton of money... they probably know less than you. But they're utilizing the tools" Illustrates how AI tools can level the playing field between experienced and novice developers. [view highlight](https://youtu.be/T4YGN_BGdFU?t=225#H1) #xref #articleseed ID:rw_ai_tools_skill_acquisition ### [H2] Web development patterns suit AI assistance > [!quote] Code Purists Have Lost The Plot On AI > "Most of the websites I see they're not innovative at all. They're the same types of patterns reused, recycled" Context for why AI performs well at common web development tasks. [view highlight](https://youtu.be/T4YGN_BGdFU?t=300#H2) #xref ID:rw_web_patterns_ai --- ### 🔖 Atomic Split Pad (Zettel Candidates) #### [Z1] Gatekeeping hinders community skill development - Applies to technical communities where experienced members discourage tool adoption - Pointer to 7:00 timestamp discussion - Links: [[Developer-Mentorship]] [[Community-Building]] #### [Z2] AI training on human code validates its utility - Scope limited to tasks involving established coding patterns - Pointer to 6:15 timestamp explanation - Links: [[Machine-Learning]] [[Code-Quality]] --- ### ✏️ Fleeting Queue - [F1] Research developer community attitudes toward AI coding tools — survey data needed #fleeting #inbox - [F2] Create balanced framework for AI tool adoption in coding education — address both benefits and limitations #fleeting #inbox - [F3] Examine correlation between AI tool resistance and developer experience levels — hypothesis testing #fleeting #inbox --- ## Full Transcript [00:00] I'm reading the comments from this video [00:02] that I just posted about the [00:05] uh you know it kind of was talking about [00:06] this comment that I got and people and [00:08] you know it was a comment about like [00:09] security and everything like that on the [00:12] on the second channel and it was great [00:14] and there's been a lot of good discourse [00:15] and everything like that in the back. [00:16] But I just want to dive into one little [00:18] small meta point here. I want to keep [00:19] this video under 10 minutes. Let's think [00:21] about this for a second, okay? In that [00:23] video I talk about you have to [00:24] understand where you're coming from, [00:25] where your baseline is, where your where [00:27] your lived experience and perspective is [00:29] when you're talking to anybody about [00:30] this stuff because everybody is so [00:33] lost right now with how fast this [ __ ] [00:35] is moving, how how how much the world's [00:37] changing, regardless of your opinion. If [00:39] you're going to talk to somebody, you [00:40] need to know where they are and where [00:41] you are so you have like an actual like [00:44] good dialogue. Okay, that's in general [00:45] in life a good good bit of advice for [00:47] life, but specifically right now. [00:50] The main point that I want to talk about [00:51] is [00:52] I am somebody that is has always called [00:56] myself not a trained developer. I did go [00:58] to school for it, but I like kind of [01:00] didn't I didn't come out of school and [01:02] become a software engineer. So, I would [01:04] say that I'm like not a trained [01:05] developer, but I also have a tendency to [01:07] kind of undersell that cuz like I [01:09] understand what's going on. I just don't [01:11] understand every single bit of syntax [01:12] and people get upset about that. But [01:14] here's the thing. [01:15] I read one comment just now that like [01:17] they were saying that oh I appreciate [01:18] your AI content cuz there's a bunch of [01:20] like you know hype AI influencers that [01:22] don't know anything about anything or [01:24] whatever and just typing. I'm empathetic [01:26] to those people because they're trying [01:27] to get attention. [01:29] You know, I'll put those people aside. [01:31] But here's the thing. Let's just take a [01:33] step back for a second. Let me talk to a [01:35] couple groups independently. If you're [01:36] one of the people that is like hell-bent [01:39] on like being completely AI like not you [01:43] don't hate AI, but you you want AI to be [01:47] so specifically used and you think that [01:49] it cannot write good code at all and it [01:51] and it's it's it's never going to be as [01:53] good as you and every single line of [01:54] code needs to be reviewed by a human. [01:58] It's a little bit of a prediction, but I [01:59] think you're going to be wrong on that [02:00] in the long term because I don't see how [02:02] the world could possibly go that [02:03] direction because the the AI agents are [02:05] already really good and they're going to [02:07] continue to get better. So, I wouldn't [02:08] continue to hold that belief. Here's the [02:10] thing though, regardless of what you do, [02:11] I don't care what you do. Regardless of [02:13] if you if you continue down with that [02:15] mentality or you start to like realize [02:17] that hey I could just do a lot better [02:18] work if I just like kind of like lean [02:20] into it and continuously like you know [02:22] go to go go that route. You have to [02:25] think of it like a ladder. There are [02:26] people right now making a ton of money [02:28] and whatever and maybe money's not your [02:30] goal, but they're making a ton of money, [02:31] success and all this other [ __ ] and they [02:33] probably know less than you. But they're [02:35] utilizing the tools that you might not [02:37] want to utilize or you're not utilizing [02:39] it to the fullest because you're [02:40] literally married to the skill that you [02:43] had and the thing that you've developed, [02:45] which I'm again empathetic to, but I'm [02:46] just trying to really break this down [02:48] for you. [02:49] Those are those like AI hype beast [02:51] influencers and I I'm not naming names [02:53] and they're all different, right? [02:54] They're all in this like skill level of [02:55] like just code, so to speak. I put [02:57] myself a little bit higher just because [02:59] I give a [ __ ] Some of them don't care [03:01] at all. Some of them do, some of them [03:02] don't. [03:03] I give more of a [ __ ] about it. I still [03:06] don't think that like I don't see a [03:07] world where like we're we're going to [03:10] need to know every syntax and every [03:12] function call and every single thing. I [03:13] don't think that's going to be long-term [03:15] because so many things, whether we like [03:17] it or not, are not innovative. They're [03:19] they're just not. Like the things that [03:21] I'm creating right now, they're not [03:23] innovative. Like websites that we've [03:24] created, I don't want to I don't want to [03:27] you know, be this person. Like I don't I [03:29] don't like bursting bubbles, but the web [03:31] most of the websites I see they're not [03:32] innovative at all. They're the same [03:34] types of patterns reused, recycled, all [03:36] this other stuff. [03:38] That is literally the best use case of [03:40] AI. I mean it's it's just you humans [03:42] have already built the [ __ ] [03:45] AI indexed it all and now you're [03:46] utilizing all of that knowledge moving [03:48] forward. Regardless of whether you like [03:50] it or not, I'm just saying like that it [03:51] you can't even be mad at that. That is [03:52] literally that's the [ __ ] perfect [03:55] pipeline for that. So, let's set that [03:56] there. The main point that I wanted to [03:58] make that came to my mind randomly was [04:00] if you're somebody that's like actually [04:02] legitimately high on the totem pole, [04:04] okay? [04:06] Let's say you're at the top of that [04:07] totem pole, you're top of that ladder [04:08] and you objectively know a lot about [04:10] syntax, you know a lot about this [ __ ] [04:12] The worst [ __ ] thing that you could [04:14] possibly do is [ __ ] on people that are [04:17] trying to climb the ladder, okay? Of [04:21] knowledge and expertise. [04:24] You can watch any of the content that [04:25] I've created. [04:26] You can think whatever you think, but me [04:28] actively asking what are these [04:30] technologies doing? Why is this working [04:32] like this? How can I make this better? [04:34] How can we make sure that the the code [04:36] is is cleaner? Can you explain things to [04:38] me? If you've ever asked an LLM to [04:40] explain something to you, you're [04:41] somebody that's moving up the ladder, [04:43] okay? From a skill and knowledge [04:44] perspective, right? [04:46] If you sniff that out with anybody that [04:49] you watch, me or whoever else, and [04:51] you're above them in the in the thing [04:53] and you don't champion that behavior, [04:54] you're part of the problem, okay? [04:56] Because you are actively trying to [04:59] combat people that are moving up the [05:00] ladder. I don't give a [ __ ] what you [05:02] call that. You could call it [05:03] gatekeeping, you could call it just [05:04] being an [ __ ] I don't [ __ ] care. [05:06] Like whatever you call whatever you want [05:07] to call that is is it's not good. So, [05:10] it's just this is just a word because [05:12] I'm I'm somebody that like I try to [05:13] understand the entire lay of the land. I [05:16] like to kind of zoom out and see a whole [05:17] thing of it. It's a wild it's wild west, [05:19] bro. Like I get it. I understand it's [05:21] overwhelming. I understand that there's [05:22] a lot going on. [05:24] What I'm telling you is [05:26] if you are up on that ladder cuz I know [05:28] a lot of you are, [05:30] understand. Like you can give advice and [05:32] stuff like that. I would recommend that, [05:33] but do not [ __ ] on anybody that is [05:35] actively trying to move up the ladder [05:36] cuz there's a lot of people that are. [05:38] There's a lot of people right now that [05:39] feel very empowered and you should not [05:41] feel scared or worried or concerned. [05:43] Well, we should all feel a little [05:44] worried and concerned in certain ways, [05:45] but you shouldn't feel like intimidated [05:47] by that. You should leverage the [ __ ] [05:49] that they're also leveraging cuz you [05:50] could use it way [ __ ] better than [05:51] they could, okay? So, that's one that's [05:54] one direct piece of advice, but do not [05:56] don't do it. Don't be an [ __ ] Like [05:58] don't [ __ ] on those people. You should [06:00] champion them. You should encourage them [06:02] to use these things to move up, okay? [06:05] It's not going to be perfect and I just [06:07] can't stand this [ __ ] thing where [06:09] like I'm actively making videos where [06:12] I'm trying to learn, I'm trying to [06:13] understand these different technologies, [06:14] how they work together. Like I didn't [06:16] know what any of this [ __ ] was before. I [06:17] didn't know what Next.js was, Node.js. I [06:19] never used Superbase. I never used any [06:21] of these tools. And now I'm utilizing [06:22] them, putting them together, I'm [06:23] starting to understand them and I'm [06:24] trying to share that with other people [06:25] and I constantly get people like [06:28] you can't learn from AI. It hallucinates [06:30] all the time. You got to have somebody [06:32] that knows the [ __ ] [06:36] Come on. [06:37] Come on. [06:38] It was trained on human knowledge. It [06:40] might not be perfect, but bro, like [06:43] were you perfect? Are you perfect? Are [06:45] you perfect? If you are, then [06:48] I'm I'm unbelievable. Unbelievable. I [06:49] want you to have the most success ever [06:51] and you're perfect and and that's [06:52] fantastic. [06:55] Nobody's [ __ ] perfect, bro, okay? So, [06:58] I just think it's a stupid thing. I just [06:59] I think it's silly. You can do whatever [07:01] you want cuz I'm not going to tell you [07:02] what to do. [07:03] I'm just here to share some of my [07:04] thoughts. May- maybe, you know, [07:07] start some conversation here and there. [07:08] But that's that's how I feel. That's how [07:10] I feel about that. And it's just one of [07:12] these motifs that keep rearing its head [07:14] and it's very interesting. [07:17] And I'm that kind of guy that I just [07:18] like to, you know, dissect these nuanced [07:20] situations. [07:22] But I'm going to keep doing what I'm [07:23] doing. I'm going to keep putting out [07:25] 9-hour-long videos in uh on my second [07:28] channel on my main maybe on my main [07:30] channel. Also in Modern Builder Society. [07:31] Yes, I have a community for this [ __ ] [07:33] Yes, you can [ __ ] on me in the comments [07:34] for for talking about the thing that, [07:36] you know, is going to hopefully provide [07:38] for my family, one of the things that's [07:39] going to provide for my for my family as [07:40] well as client work and all that other [07:42] [ __ ] Trying to help businesses navigate [07:44] this [ __ ] terrible time that if you [07:45] think you're having a rough time, [07:46] imagine the person that doesn't [07:48] understand any of this [ __ ] Yeah, so [07:50] think about that. But yeah. [07:53] So, I just wanted to share that. I think [07:55] it's really interesting. [07:57] The thing I'll leave you with is just [07:59] take a moment. Think about where you are [08:00] kind of on that ladder of knowledge and [08:02] experience from a [08:05] syntax technical background and and all [08:07] that all that stuff. See where you're at [08:09] and uh try to ascend. [08:12] Been saying this for weeks now, okay? [08:13] Months. Try to ascend. And if you see [08:16] somebody trying to ascend alongside you [08:18] or below you or whatever coming up that [08:20] thing, encourage them. [08:22] Don't belittle them. [08:23] Don't tell them that they can't utilize [08:25] this amazing technology to learn [08:28] and empower themselves and others. Don't [08:30] tell them they can't do that. That's [08:32] silly. That doesn't make any sense. [08:34] Makes you sound like an [ __ ] [08:36] But [08:37] at the end of the day, you do whatever [08:38] you want. [08:39] I'll talk to you later.  📄 **Full text:** ![[Full Document Contents/Articles/Code Purists Have Lost the Plot on AI.md|Code Purists Have Lost the Plot on AI by YouTube]] ## Highlights - all the time. You got to have somebody that knows the [ __ ] Come on. Come on. It was trained on human knowledge. It might not be perfect, but bro, like were you perfect? Are you perfect? Are you perfect? If you are, then I'm I'm unbelievable. Unbelievable. I want you to have the most success ever and you're perfect and and that's fantastic. Nobody's [ __ ] perfect, bro, okay? So, I just think it's a stupid thing. I just I think it's silly. You can do whatever ([View Highlight](https://read.readwise.io/read/01krgqfvj1fzh1tx0shsdtmr3v)) - Tags: 👻 ai highlighted - tell them they can't do that. That's silly. That doesn't make any sense. Makes you sound like an [ __ ] But at the end of the day, you do whatever you want. I'll talk to you later. ([View Highlight](https://read.readwise.io/read/01krgqfvkm51nf48wpg4h7j95e)) - Tags: 👻 ai highlighted