Raw LLM Responses
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Let me be clear: from my pov as a phd student, other than complex calculations a…
ytc_UgwP3KIV8…
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L'intelligence artificielle est un véritable danger du moment où il essayons de…
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The idea of universal income wasn't at all far-fetched, it was only just ahead o…
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Who's going to buy services or products when humans dont have jobs to purchase t…
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@33:00 - This was a bit of a "professor moment" where i think mr Hinton grabbed …
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So homie got an apology and then lectuered the ai on how it cant be sorry and is…
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If you can be replaced by AI then you’re job is useless anyway pick up a tool tr…
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I've worked with special needs populations for over 20 years... They can make ar…
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Comment
AI can write code, Wix can build websites, but that's not what true software engineering is. Even though Wix exists and anyone can build a website, when that website hits the real world, that's where software engineering comes into play, like wise, even though anyone can use AI write code, when that code hits the real world, that's where software engineering again comes into play.
A modern web application, mobile application, desktop application, or embedded application isn't just one file with couple lines of code, it's many code repositories with each code repository hosting dozens and dozens and dozens of files within it, all interconnected, which also involves an entire dev-ops team that helps software engineers merge new lines of code or fixes into the already existing code repositories that are deployed on a cloud infrastructure or self hosted infrastructure, in different deployment environments like sandbox, staging, production, all while ensuring that your application doesn't just break down completely.
Writing code is actually the easiest part of being a software engineer, literally, the hardest part is actually figuring out what actually needs to be implemented, how that new feature is going to follow Government compliance, foreign Government compliance, all the Business rules, all the weird edge cases, asking the right questions to your end user to ensure that the new feature meets all of their spoken and unspoken requirements, figuring out how to exactly put this feature into the already existing code base without breaking everything, ensuring that this feature is maintainable, readable, scalable, and well documented for future engineers to work and improve upon. Outside of adding new features, software engineering also involves fixing bugs in already existing features or making improvements to already existing features, which all have their own unique challenges. And all of this must be done while ensuring your application stays up and running, is law compliant, and doesn't break down with thousands of customer complaints or something.
If AI ever gets to a point where it can handle an entire code base with all the repositories, deployment, cloud management or self hosted infrastructure management, implementation of new features, fixing all the bugs, improving existing features, gathering user requirements and figuring out what needs to be built, asking the right questions, figuring out all the business rules around a new feature, ensuring that everything remains law compliant, and being able to deliver on it and handling all the customer complaints or random bugs that happen in the middle of the night, then sure, software engineers will be screwed and out of a job. But by that point, if AI is that powerful, then software engineers won't be the only ones out of a job, anyone whose job is directly tied to a computer, whether software engineer or not, will be out of a job, and the whole economy will just collapse with massive waves of unemployment.
youtube
AI Jobs
2025-12-26T00:5…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxDIs7_zvE3FWd47cF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzNuXZUb9WzaXL-1cZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy-XWvVvCqYBvLVk754AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy1TEnhF6cpz3s8Y_B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugxss2PzpO6HSxWYiLB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxty1NO7VdXh19Idvd4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgywFlQ106ydrpj5MoV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwwhvI7Ypf-4zv9znF4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzLx_OuVpQtd0jNuLx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyQGNVv5OoGItdY1F54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]