Working on a game that parents of young gamers can play together without the child being frustrated or the parent being bored :)
But you might get the reverse, parent frustrated kid bored
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Working on a game that parents of young gamers can play together without the child being frustrated or the parent being bored :)
But you might get the reverse, parent frustrated kid bored
The goal is to eliminate the massive chasm that exists in design-to-engineering hand-off by having a single source of truth.
I noticed my 2.5 year old niece likes zooming into photos of bugs on her mom's phone. I'm making her a little "game" where she can flip over rocks and find different bugs and other weird surprises.
https://x.com/seanw_org/status/1815442179361317022
There's lots of tools in this space, but the key features of this is it lets you easily check the contrast of any color pair (not just against white, so you can check e.g. your text colors will contrast on off-white shades), it's for creating a full palette of colors vs a handful of brand colors (you always end up needing lighter/darker variants for things like borders and backgrounds), and you can alter how the hue/saturation/lightness varies across a whole swatch of colors with a few clicks (being able to visualise these curves also makes picking new colors really easy).
Feel free to reach out if you think this might be useful to you!
I have decided to shelve my work on architectures that are biologically inspired for now. I was getting reasonable results with spiking neural networks and evolutionary training, but there are so many hyper parameters to think about and how they behave over time is really hard to predict. I was also struggling deeply with how to manage topological concerns like network growth over time.
With interpreted evolutionary programs, the memory access patterns are so much more ideal with the program counter stepping through (mostly) contiguous bytes vs totally insane recurrent spiking neural access patterns. You get so many more generations & candidates evaluated per unit time that it can make previously apparent "dead ends" viable, simply because you don't need to have extreme patience to find out anymore. I am discovering that iteration speed is the most important thing in this arena. The faster you find out how bad a certain parameter adjustment is, the sooner you can get to the good ones.
I am also working on an unrelated contract to integrate some back office banking systems. Not much worth discussing there.