It is routinely bewildering to remember that his standard outfit is a mid-century sailor’s uniform because he was in World War II. Like oh right, by the way, this cartoon animal is a member of the United States armed forces, and fought Hitler.

“Oh come on, Samson, it’s nothing you haven’t seen before.”

“He IS something I’ve never seen before!”

“Just” read documentation, says someone assuming past documentation is accurate, comprehensible, and relevant.

I taught myself QBASIC from the help files. I still found Open Watcom’s documentation frankly terrible, bordering useless. There’s comments in the original Doom source code lamenting how shite the dead-tree books were.

Due to some disagreements—some recent; some tolerated for close to 2 decades—with how collaboration should work, we’ve decided that the best course of action was to fork the project

Okay, that was always allowed!

Programming is the weirdest place for kneejerk opposition to anything labeled AI, because we’ve been trying to automate our jobs for most of a century. Artists will juke from ‘the quality is bad!’ to ‘the quality doesn’t matter!’ the moment their field becomes legitimately vulnerable. Most programmers would love if the robot did the thing we wanted. That’s like 90% of what we’re looking for in the first place. If writing ‘is Linux in dark mode?’ counted as code, we’d gladly use that, instead of doing some arcane low-level bullshit. I say this as someone who has recently read through IBM’s CGA documentation to puzzle out low-level bullshit.

You have to check if it works. But if it works… what is anyone bitching about?

There is oxygen on Mars.

Not much. But it’s there.

One of the better jokes in Renfield.

And Henry Blake paddled a liferaft onto the Tracy Ullman show.

If Matt Walsh comes out as trans, it’s important we still shit on her.

Like, hey, congrats on figuring out why this lives in your brain rent-free. You don’t need to apologize for that. Just for everything else.

Like that was ever enough.

Minimum wage is supposed to be that high.

That’s the metric it was the minimum for.

“Because they’re guys?”

“Because they’re programmers.”

Oh it’s definitely not just Google. Apple’s been this fucked since 2007. But since this is the Android community, it’s helpful to stay on-message.

Shatter this corporation.

‘LLMs specifically won’t work.’

‘No, see, LLMs won’t work.’

Okay.

If my screen doesn’t need saving, I’d like the clock on the lock screen to stay put.

Suggesting that Gotham is fucked beyond their pay grade.

Costumed villainy might be the best of all possible worlds. Consider how many of them have doctorates!

Right, should say deep neural networks. Perceptrons hit a brick wall because there’s some problems they cannot handle. Multi-layer networks stalled because nobody went ‘what if we just pretend there’s a gradient?’ until twenty-goddamn-twelve.

Broad applications will emerge and succeed. LLMs kinda-sorta-almost work for nearly anything. What current grifters have proven is that billions of dollars won’t overcome fundamental problems in network design. “What’s the next word?” is simply the wrong question, for a combination chatbot / editor / search engine / code generator / puzzle solver / chess engine / air fryer. But it’s obviously possible for one program to do all those things. (Assuming you place your frozen shrimp directly atop the video card.) Developing that program will closely resemble efforts to uplift LLMs. We’re just never gonna get there from LLMs specifically.

Fuck software patents.

Copyright made sense when it was a decade or two. Industrial patents seem basically functional. Trademark’s mostly truth-in-advertising for consumer choice.

But software patents aren’t about how you do something - they’re claiming the entire concept, in the broadest possible terms, and killing it. Straight-up murdering that potential. It is denied the necessary iterative competition that turns dogshit first implementations into must-have features. Nobody’s gonna care in twenty years.

Entire hardware form-factors have come and gone in a single decade. Can you imagine if swipe keyboards were still single-vendor, and still worked like in 2009? Or maybe Apple bought them, and endlessly bragged about how Android can’t do [blank], because fifty thousand dollars changed hands in the 3G era.

How many games would not exist, if Nintendo had decided they own sidescrollers? A whole genre, wiped out, because a piece of paper says those mechanics are theft.

People have run LLMs on a Raspberry Pi.

The bubble is straining to burst because there’s not much difference between the high end and the low end.

Neural networks will inevitably be a big deal for a wide variety of industries.

LLMs are the wrong approach to basically all of them.

There’s five decades of what-ifs, waiting to be defictionalized, now that we can actually do neural networks. Training them became practical, and ‘just train more’ was proven effective. Immense scale is useful but not necessary.

But all hype has been forced into spicy autocomplete and a denoiser, and only the denoiser is doing the witchcraft people want.