552 karma · joined September 8, 2014
Solo-development on a project of this scale has taught me a lot about prioritising where I spend my time and in what order I roll out application code as well as how to ensure I lean in to write once run everywhere design around libraries and component design.
also, would help to explain why for the uninformed?
- clueless
Source: I'm half brain dead from decoding a lot of Claude speak from it directly and colleagues' new way of communicating with me.
Unity dependency seems required for cardboard vr? Is that library worth the bloat?
First and foremost: HN thrives on intellectual curiosity and discussion so keep that in mind; it's actually a good skill to be critical else we end up going down the road of "who cares about privacy and physical ownership".
I enjoy cool workspace inspiration so I'm leaning closer to your side but the critical discussion has merit in the fact that we end up with "slop" if nobody is bringing anything new to the table (yay I made a pun).
"Cancer killing /b/" and all that. If we spend too much time with kin we become closed off to cool ideas or better ways of advancing us all.
OpenAI seems to be trading roles back with Anthropic becoming misanthropic. I hope they both start heading in the direction of how the AI field was prior to LLMs.
Collaboration and benefit for all should always be the primary motivator.
"Elegant prose instantiated through remarkably tailored execution of written word may allow an author's desired intention to flow in a certain way to achieve a precise effect whilst simultaneously allowing said author to sound of much higher mind and thought to the reader." - I probably butchered it but my point is that AI slop seems to be the average of the outputs.
Images that look similar to others because they're average of all the current outputs. Same with music and video. We're noticing when something is AI because it has this signature that's average to other outputs.
Original content is crafted even though inspired by other works.
We're at a weird point where AI is capable but constrained.
As compute increases and AI becomes more personalised I feel the current implosion will explode again into variety.
I think it's good practice to get on top of the cautious thinking of "LLMs aren't that smart for now".
Eg. Fable isn't as good as the hype: it has cool tricks like scratch-padding to check expectations in advance, but we're not there just yet...
Specifically I mean: thinking in terms of it changing abruptly ensures we're ready for if the LLMs do get smart enough to do multi-level strategy and cause a lot of annoyances....
In retrospect, many companies you get turned down from are likely companies you don't want to work for anyway hence the incompatibility.
It may be hard, but positive mindset will go very far towards enhancing your outcomes - you need to bring others up around you as well. Pause on this and think about the first thing that comes to mind when you respond to these words.