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If our present reality was described accurately in a novel written in 1985, it would be firmly cyberpunk.
If our present reality was described accurately in a novel written in 1985, it would be firmly cyberpunk.
You keep using that word. I do not think that word means what you think it means.
At least as pretense, the primaries are meant to prevent the need for that. And we like to pretend a third party could be successful if the other two are sufficiently incompetent/corrupt. In practice, the lawmakers will never implement a process that gives any amount of their power to the people. There was a window of time in the 90’s - 00’s where we thought the future might hold something other than the cyberpunk dystopia we all see coming. Now I’m reduced to just trying to enjoy the last vestiges of the middle class before it’s gone. Umm, but yeah, we should be able to vote no confidence.
Violence against Nature.
Yeah, but the Nuclear war was preceded by the Eugenics Wars and the Second Civil War, so we’ve got a while.
This is another good use case for gAI. Copy/paste the comment into a GPT and tell it to re-write the content at the desired reading or technical level. Then it’s available for follow-up clarification questions.
I’m still hoping for TNG, but people forget they had to go through WWIII and being the Vulcans’ pets before they got to space communism.
That’s how I communicate my intention to pay a parking ticket. “Bowing to regulatory pressure”
Sure, thanks for your interest. It’s an incomplete picture, but we can think of LLMs as an abstraction of all the meaningful connections within a dataset to a higher dimensional space - one that can be explored. That alone is an insane accomplishment that is changing some of the pillars of data analysis and knowledge work. But that’s just the contribution of the “Attention is All You Need” paper. Many implementations of modern generative AI combine LLM inference in agentic networks, with GANs, and with rules-based processing. Extracting connections is just one part of one part of a modern AI implementation.
The emergent properties of GPT4 are enough to point toward this exponential curve continuing. Theory of mind (and therefore deception) as well as relational spatial awareness (usually illustrated with stacking problems) developed solely from increasing the parameter count describing the neural network. These were unexpected capabilities. As a result, there is an almost literal arms race on the hardware side to see what other emergent properties exist at higher model sizes. With some poetic license, we’re rending function from form so quickly and effectively that it’s seen by some as freeing and others as a sacrilege.
Some of the most interesting work on why these capabilities emerge and how we might gain some insight (and control) from exploring the mechanisms is being done by Anthropic and by users at Hugging Face. They discovered that when specific neurons in Claude’s net are stimulated, everything it responds with will in some way become about the Golden Gate Bridge, for instance. This sort of probing is perhaps a better route to progress than blindly chasing more size (despite its recent success). But only time will tell. Certainly, Google and MS have had a lot of unforced errors fumbling over themselves to stay in what they think is the race.
I’m happy to take the time to alter your perspective, if you are open to new information.
Hahah, man, the world’s a weird place. I love this exchange.
/looks around - That doesn’t seem to be the case. A.I. has a better chance of repositioning the social locus of control.
Sounds like he needs someone with training to help him through retraining his behavioral/thought patterns, something a functional social system would provide if those were as common as comment culture.
Oh, I think Art and Commerce should remain friends. And they’ll probably hook up every now and then, when Art has too much to drink. But they’ve been way too cozy lately.
A.I. will destroy copyright completely, and I’m here for it. Art and commerce have no business being bedfellows.
The Queen Bean is an excellent name for a coffee shop.
You’ve reminded me that I’ve been meaning to look more seriously at an Ultracortex.
I do love that generative AI is getting better at imagining text.