I think it was Perplexity. Moved to using Flux since that cuddly monstrosity.

I think this is accurate. But I’d like to restate it.

The Left (as the apparent big tent party full of literal minorities) has been learning to deal with disenfranchisement and the feeling “that their anguish is belittled as a personal failure, and often downright mocked” for its entire existence. Because of a huge variety of factors, the Right is losing some of its influence. They are not handling this well. The Left (being well acquainted with feeling unheard) should have been able to help the Right through this transition. Due to deep seated insecurities on both sides, we are no longer able to help one another as a people. Buckle up.

*affected

small win

Thank you. For as much as this post comes up, I hope people are at least getting an education.

As a chaote, it honestly didn’t register as satire. But if it is, it’s spot on.

This type of segmentation is of declining practical value. Modern AI implementations are usually hybrids of several categories of constructed intelligence.

Fair weather friends to AI crack me up.

Ironically, if they’d used an LLM, it would have corrected their writing.

Just looking at the mental space of the three fanboy types… Mac seems the chilliest to hang with.

e: lol, case in point

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Pres·i·dent /ˈprezəˌdent/

I did not mean…

Plants with more flexible and responsive genetic systems were better able to adapt to changing environments and thus more likely to survive and reproduce, so yeah. However, the basic building blocks of these systems - DNA replication, gene expression, and the fundamental biological processes arose from simpler chemical and physical interactions that were likely governed by principles of self-assembly and thermodynamics. The primary drivers are different at different levels of abstraction and complexity, and there’s dynamic interaction across levels.

Thermodynamics -> Natural Selection -> Responsive (Epi)Genetics -> Memetics -> Metamemetics (probably?)

We “boil things down” to Natural Selection or Thermodynamics as is convenient for communication, but the higher levels affect the lower as well. So we can’t really reduce them like that without losing important information.

In our effort to disillusion people of the idea that evolution has a purpose or conscious hand, we over-simplify things, though. Plants actively (but not consciously) shape their own evolution through complex molecular and genetic mechanisms. They can respond to environmental stresses by altering their DNA methylation patterns, potentially priming future generations for similar conditions. Plants also engage in niche construction, modifying their surroundings in ways that influence their evolutionary trajectory. For instance, they can change soil chemistry through root exudates, creating new selective pressures for themselves and their offspring. Plants participate in intricate co-evolutionary relationships with pollinators, herbivores, and other organisms. These interactions create dynamic fitness landscapes that drive reciprocal evolutionary changes. While not “inventing” traits in a deliberate sense, plants possess sophisticated genetic tools - such as whole genome duplications, transposable elements, and adaptable gene networks - that allow for rapid evolutionary innovations. These mechanisms enable plants to continually adapt and evolve, even without conscious intent or direct feedback.

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What makes the “spicy autocomplete” perspective incomplete is also what makes LLMs work. The “Attention is All You Need” paper that introduced attention transformers describes a type of self-awareness necessary to predict the next word. In the process of writing the next word of an essay, it navigates a 22,000-dimensional semantic space, And the similarity to the way humans experience language is more than philosophical - the advancements in LLMs have sparked a bunch of new research in neurology.

Not OP, but speaking from a fairly deep layman understanding of how LLMs work - all anyone really knows is that capabilities of fundamentally higher orders (like deception, which requires theory of mind) emerged by simply training larger networks. Since we don’t have a great understanding of how our own intelligence emerges from our wetware, we’re only guessing.