3,044 karma · joined August 24, 2014
I'm making this, there is a free demo if you want to try it. https://store.steampowered.com/app/1537490/Tentacle_Typer/
PDF is not nearly as pleasant under the hood. It's down right lovecraftian.
Take a breath. Balance compassion for self and others.
Before that we were excited about the wheel and the creation of fire. All capital drained into those ephemeral fancies.
The cycles cycle on.
Imagine an era where the majority leans in on a balance of compassion for self and others.
I was going to offer the twinkie but I guess hostess declared bankruptcy, so maybe you're right.
Maybe this is a folksy anecdote about a junior developer working for John Email designing the protocol for trinary morse code over a token ring of twisted pair barbed wire. An RFC for that kind of project would be natural.
In the spirit of this, I propose we start calling things like flowcharts, SVG images of digraphs, UML diagrams etc "articles of war" just to spice things up.
If I could have any wish granted, I would wish for that balance to be preserved as the foundational learning before all things.
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Balance compassion for self and others.
'getting it' isn't an all or nothing thing. It would be an illusion to take it to an extreme.
The idea of some people in your life being able to get you better than others, more quickly and with fewer words, is a fact of life. Comparative human connection bandwidth can be estimated by vibes, history, outcomes.
Another anecdote. I had job offers coming out of my ears while I was posting videos of my indiegame on twitter. Only one video had substantial reach -- near the end of my time actively twittering. I think what helps is doing something as well as you can, and be persistently visible.
A star’s fusion reaction ceases when too much of its core turns to iron.
This made me laugh.
You seem like you may know something I've been curious about.
I'm a shader author these days, haven't been a data scientist for a while, so it's going to distort my vocab.
Say you've got a trained neural network living in a 512x512 structured buffer. It's doing great, but you get a new video card with more memory so you can afford to migrate it to a 1024x1024. Is the state of the art way to retrain with the same data but bigger initial parameters, or are there other methods that smear the old weights over a larger space to get a leg up? Anything like this accelerate training time?
... can you up sample a language model like you can lowres anime profile pictures? I wonder what the made up words would be like.
It's people who play these games and almost any weirdness you can imagine that could exist in a person in real life gets brought into these games.
Often it's magnified because of the pseudo anonymity. We've only been "big" for a few months and a handful of things we've already ran into would make you not want to visit several western hemisphere countries if held to the same standard. :)