It was, infact, not all good there.

From a game theory perspective, a trumper discouraged to vote is worth 1 vote, a flipped Republican vote is worth 2 votes.

So the appeal to the right makes sense if it works, because every vote from that camp is also a negative vote from Trump.

I have the hope that she’ll end up being more progressive after votes are counted.

Partially because she has Walz which is a good sign, but mostly I’m hoping for hopes sake. 🤞

As a pansexual I feel that Bi and Pan have enough differences to both be justified while the others are micro labels (not invalid, just less useful as labels).

But I recognize I’m drawing that line very conveniently for myself.

The people can, but companies still need some kind of income to exist. The owners/ceos will just golden parachute away from the corpse

In order to tangibly pay employees/rent/servers a company needs either profits, subsidies, or a ponzi scheme inflated stocks.

I hate hate hate when people try to discredit a theory because “it’s a theory not a fact” as if the label of “fact” exists on some kind of science ladder for an idea. “Facts” is a colloquial word like any other, it’s not some special category above theories.

Moreover, the most tried and tested theories are facts. Science rarely just disproves an established theory outright. Einstein’s General Relatively equations reduces into Newton’s Laws of Motion in most situations. Newton’s Laws of Motion weren’t “wrong”, it’s just General Relatively is more specific and accurate.

The Scientific Method usually just builds on what already exists without claiming we were all unfactual for working with what we had.

In a D&D game that I got in through Roll20 matchmaking. One of the players asks if I want to join another campaign with his friends, said yes.

One of those friends is now my fiancee that I moved states for. The original guy ghosted all of us in a harsh way but I’ll forever owe my new life to him.

Theoretically we could slow down training and coast on fine-tuning existing models. Once the AI’s trained they don’t take that much energy to run.

Everyone was racing towards “bigger is better” because it worked up to GPT4, but word on the street is that raw training is giving diminishing returns so the massive spending on compute is just a waste now.

What resonated with me is people calling LLMs and Stable Diffusion “copyright laundering”. If copyright ever swung in AI’s favor it would be super easy to train an AI on stuff you want to steal, add in some generic training, and now you have a “new” piece of art.

LLMs and Stable Diffusion are just compression algorithms for abstract patterns, only one level above data.

Huh, didn’t know that! I mainly mentioned it for the fact that it was crammed into products that didn’t need it, like fridges and toasters where it’s usually seen as superfluous, much like AI.

I wonder if we’ll start seeing these tech investor pump n’ dump patterns faster collectively, given how many has happened in such a short amount of time already.

Crypto, Internet of Things, Self Driving Cars, NFTs, now AI.

It feels like the futurism sheen has started to waver. When everything’s a major revolution inserted into every product, then isn’t, it gets exhausting.

Tip if you care about it, Steam Deck has Bluetooth and can connect to Bluetooth devices like any computer. You should be able to get a small Bluetooth keyboard (without a dongle!) and use it for anything on the deck.

I think the worst thing about a Mary Sue is when their success comes trivially or randomly.

What usually helps me is making the obstacle more specific and diving into those specifics when they’re problem solving. You’ll find most things we broadly group into large lumps, like martial arts, swordfighting, researching, medicine, ect. often have an overwhelming amount of details that not only separates good from bad, but also have specific dynamics that change depending on circumstances.

If you want to make the successes feel earned, include enough detail about the problem that you can tell a story with the challenges involved. If your focus is swordfighting convey the kinds of techniques your protagonist know then put them up against opponents that can counter those techniques so they have to learn. If you focus is a doctor then instead of seeking out the Medicine Flower™, try conveying the roadmap to making medicine to the audience then make a story out of the process.

I feel like Breaking Bad is a good example of this. It depends a lot on actual chemistry and every chemistry advancement is a plot point. Mainly it’s figuring out how to procure the ingredients and equipment without leaving evidence to get caught from.

As an aside, I’ve often wondered what would happen if everything was automatically adjusted for inflation.

So like cost of living inflates, but then income is adjusted and bank accounts are modified to be their true value before inflation.

Would this patch things up to be effectively 0 inflation? or (more likely) would this cause an absurd runaway effect?

For some reason I always have a habit of scroll to the bottom of any list and reading up. Like I wanna confirm how long the list is before working my way up

Can confirm, it’s also a thing in the US.

With streaming services they’re proving it’s not viable to run a resource hog of a service with a measly monthly subscription.

With social media they’re proving it’s not viable to run a resource hog of a service for free, even with advertisement.

So naturally the best plan to monetize AI is to run a resource hog of a service with a measly monthly subscription and a free version without advertisements. /s

I’ve begun to think of LLMs as compression algorithms for patterns. It can take an existing pattern and apply it on unusual subjects. Like take the pattern of a limerick and apply it to the patterns of Danny Devito, that’s the upper limit of their creativity. So rather than storing information, it stores these patterns making it seem more dynamic.

The way I see it, human creativity is the combination of patterns but in a chaotic non-analytic way. We make leaps of logic that without precise knowledge of our brains can’t be exactly replicated. Meanwhile LLM’s just do the basic combination of patterns that result in the most generic realization of any idea.

However the well dries up as soon as we stop training them. They’ll store the basics of any field but fail to replicate new developments or conclusions until trained.

CVS has a speech recognition system that just won’t forward me to a damn human.

And the nerve of them to constantly berate you about using the app, when I’m calling because the apps not working.

I can say being a trans woman confronts you with this dilemma head on. While I was boymode I was largely ignored and didn’t think much about safety, but after transitioning I began to understand why my sister always had an array of self defense keychains.

Since it was a sudden shift for me I’ve ask myself how to avoid dangerous people, and apart from self defense methods the only real answer I’ve come to is recognize the signs and trust your gut feelings.

Sadly many people are conditioned to always be nice and accommodating to please everyone. Everybody needs to set strict boundaries and know how to leave unapologetically when they’re breached. You never owe someone your unconditional trust.