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There’s also the alternative “grills” vs. bouys" pair.

It’s hard to explain. A lot of it is about vibes and focus over the last several years.

1. There’s a popular suspicion that, rather than fixing issues, Dems allowed them to persist so they could campaign on them during an election year.
2. Dems’ platform in 2016 was: Hillary’s more competent. In 2020: Trump’s a menace. In 2024: Trump’s a menace. Meanwhile, people cared more about putting food on the table, not dying of the plague, and war crimes. Sure, welfare was part of Dems plans and platform, but it weren’t the core message.
3. Related to #2, people felt unheard, ignored, and taken for granted. We’ve been losing faith in a 2-party system, where neither side has to be good, they just have to threaten that the other side is worse. Well, wehn people feel they have nothing to lose, they put a bull in the china shop and hope they wind up on top when the dust settles.

Bernie’s being a bit harsh in saying Dems didn’t try. Republicans blocked their efforts. But there’s also a feeling that they didn’t care all that much. At the end of the day, they’re career politicians, padding their pockets with corporate donations while demanding starving citizens vote for them because the other guy would be somewhat less palatable. And I guess Trump’s honesty about being apathetic and money-grubbing is more appealing than Dems’ feigned innocence and solidarity.

As a longtime Plex user, I also hate their lack of focus and tendancy to priorotize bad features (like paid streaming and VR). But this one feels more like a way to re-focus on video by removing photo code from the main (video) app’s codebase, making it easier to maintain.

For LLMs, I’ve had really good results running Llama 3 in the Open Web UI docker container on a Nvidia Titan X (12GB VRAM).

For image generation tho, I agree more VRAM is better, but the algorithms still struggle with large image dimensions, ao you wind up needing to start small and iterarively upscale, which afaik works ok on weaker GPUs, but will gake problems. (I’ve been using the Automatic 1111 mode of the Stable Diffusion Web UI docker project.)

I’m on thumbs so I don’t have the links to the git repos atm, but you basically clone them and run the docker compose files. The readmes are pretty good!

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I loved my course on patterns. It was tough, but I now regularly feel like I can apply mastery of this tricky subject to my software projects. The course used a variety of techniques:

• Read the seminal Design Patterns book by Gamma et al., for an overview of the concepts.
• Every week, we’d incorporate three patterns into a preexisting XML processor project. My final one had like 25 patterns, which was challenging to keep working amidst refactoring. (You don’t have to do them cumulatively, but I enjoyed it.)
• We’d have to ask pattern-specific questions of our classmates in forum threads; and occasionally we’d be assigned to answer some.
• We each wrote up our own pattern. (I designed one based on my experiences handling data exchange between web apps and clients.)

Together, this taught us

• How the patterns could concretely look in practice.
• Pros, cons, and other considerations for each.
• Similaraties, differences, and nuances. (We’d joke that everything was the Template pattern if you squinted.)
• The impact of modifications to the patterns.
• How to recognize, create, hone, collaborate on, and share patterns.

I appreciate this approach because patterns are an inherently fuzzy subject.

It’s more like languages evolved to incorporate the most common idioms and patterns of their ancestors. ASM abstracted common binary sequences. C abstracted common ASM control structures and call stacks. Java leaned hard on object orientation to enable compositional and inheritence-based patterns widely used in C and early OO languages. Python baselines a lot of those patterns, and makes things like the Null Object pattern unnecessary.

The implication of “leave a review!” is they want info on quality to improve service; the twist is they don’t care about that, just getting information about you for ad targeting.

Bidet gang arise!

Can we call communities “lemlets?”