https://fokus.cool/2025/11/25/i-dont-care-how-well-your-ai-works.html
AI systems being egregiously resource intensive is not a side effect — it’s the point.
And someone commented on that with:
I’m fascinated by the take about the resource usage being an advantage to the AI bros.
They’ve created software that cannot (practically) be replicated as open source software / free software, because there is no community of people with sufficient hardware / data sets. It will inherently always be a centralized technology.
Fascinating and scary.
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@movq@www.uninformativ.de Gemini liked your opinion very much. Here is how it countered:
1. The User Perspective (Untrustworthiness)The criticism of AI as untrustworthy is a problem of misapplication, not capability.
- AI as a Force Multiplier: AI should be treated as a high-speed drafting and brainstorming tool, not an authority. For experts, it offers an immense speed gain, shifting the work from slow manual creation to fast critical editing and verification.
- The Rise of AI Literacy: Users must develop a new skill—AI literacy—to critically evaluate and verify AI’s probabilistic output. This skill, along with improving citation features in AI tools, mitigates the “gaslighting” effect.
The fear of skill loss is based on a misunderstanding of how technology changes the nature of work; it’s skill evolution, not erosion.
- Shifting Focus to High-Level Skills: Just as the calculator shifted focus from manual math to complex problem-solving, AI shifts the focus from writing boilerplate code to architectural design and prompt engineering. It handles repetitive tasks, freeing humans for creative and complex challenges.
- Accessibility and Empowerment: AI serves as a powerful democratizing tool, offering personalized tutoring and automation to people who lack deep expertise. While dependency is a risk, this accessibility empowers a wider segment of the population previously limited by skill barriers.
The legal and technical flaws are issues of governance and ethical practice, not reasons to reject the core technology.
- Need for Better Bot Governance: Destructive scraping is a failure of ethical web behavior and can be solved with better bot identification, rate limits, and protocols (like enhanced
robots.txt). The solution is to demand digital citizenship from AI companies, not to stop AI development.
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@zvava@twtxt.net My clients trusts the first url field it finds. If there is none, it uses the URL that I’m using for fetching the feed.
No validation, no logging.
In practice, I’ve not seen issues with people messing with this field. (What I do see, of course, is broken threads when people do legitimate edits that change the hash.)
I don’t see a way how anyone can impersonate anybody else this way. 🤔 Sure, you could use my URL in your url field, but then what? You will still show up as zvava in my client or, if you also change your nick field, as movq (zvava).
@bender@twtxt.net Absolutely. My computer science teacher was really great and in a lot of aspects very similar. Especially combining the theoretical and practical parts. He’s also the main reason I ended up where I am today. I’m very grateful to him. Mr. Burger, however, takes this on a whole new level.
@lyse@lyse.isobeef.org that’s an amazing way to teach, and one many old school (I remember my father telling me “schools need to teach both theoretical and practical skills!”) people will agree with. The fact that graduates need to learn on the job after they graduate exemplifies the importance of hands on.
@movq@www.uninformativ.de Yeah, we’ve seen how this plays out in practice 🤣 @dce@hashnix.club My advice, do what @movq@www.uninformativ.de has hinted at and don’t change the 1st # url = field in your feed. I’m not sure if you had already, but the first url field is kind of important in your feed as it is used as the “Hashing URI” for threading.
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