Trying something new
Before, I’d take the time to privately write my blog posts in a few continuous sittings before releasing them in my blog. In the name of learning in public, I think it’s worth trying to document me figuring out how and what to write in here! It also kills two birds with one stone by further bridging the blog and garden together.
I think this helps with my writing process as a whole, too; now, I’m forced (somewhat) to take more time to think through what I write, and writing it here encourages multiple drafts, rewrites, perspective changes. Much better for me.
- There’s something about AI-generated content that gives me the ick, and I can’t put my finger on what specifically about it seems to do so?
- It could be the sudden implementation of it everywhere; Singapore has been plagued by AI-generated content, and I can’t help but share the sentiment that the usage — and particularly the proliferation — of it has come too fast, too suddenly. The fact that AI-generated media have jumped off our screens and into the real world, coming in the form of banners advertising community events and movies releasing on Singapore’s National Day, often with erroneous details that become easy to spot, noticing them can get fatiguing quickly.
- Maybe it also could be the fact that “standards” or QA in general has dropped, with people prioritising the adoption of gen AI and AI-generated media more than looking at the details for discrepancies? I believe we’re still at that stage where AI-generated media can have glaring inconsistencies and errors that can raise eyebrows, so the fact that so many of them get made into the public eye could suggest lowered levels of standards before approval.
- AI-generated content has long flirted with the uncanny valley, and though models today have made significant strides in making measurable progress in the way they depict objects in generated media, they can still produce the unsettling feeling of the valley when you truly observe such media in closer detail. To read more: The Uncanny Valley: An Empirical Study on Human Perceptions of AI-Generated Text and Images
- Especially on the dev side, the homogeneity of AI-generated websites can feel a bit disappointing and disheartening. What happened to the whimsy and the individuality of the personal internet?
- The design of a website can eventually become an indicator for the effort placed into what it represents; if it has similarities — components, colours, copywriting, fonts, layout — as other generated sites, what does that say about the effort put into the product/person it’s trying to promote/share about?
- Rebuttal: using gen AI to help you create websites can be used as a crutch and an assistive tool for bridging your ideas/concepts in mind to execution, and that could include advanced features like animations, transitions, and other user-interactive elements that I don’t think I’ve scratched the surface of. But as you do more of that, how do you make sure the website still feels inherently you?
- The design of a website can eventually become an indicator for the effort placed into what it represents; if it has similarities — components, colours, copywriting, fonts, layout — as other generated sites, what does that say about the effort put into the product/person it’s trying to promote/share about?
- It could be the sudden implementation of it everywhere; Singapore has been plagued by AI-generated content, and I can’t help but share the sentiment that the usage — and particularly the proliferation — of it has come too fast, too suddenly. The fact that AI-generated media have jumped off our screens and into the real world, coming in the form of banners advertising community events and movies releasing on Singapore’s National Day, often with erroneous details that become easy to spot, noticing them can get fatiguing quickly.