Twonks | Bluesky
Transcript
TW😶NKS
A comic in four panels:
Panel 1. White text on black
AI Design Logic
Panel 2. A guy sits in a restaurant at a table with a checkered table cloth. A waiter stands near, hands behind back waiting attentively.
Guy: Get me a cheese pizza
Panel 3. The waiter returns with a pizza in hand.
Panel 4. The guy gestures proudly at the pizza. The waiter looks less than amused.
Guy: Wow, look what I made!
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But the pizza was stolen from the store down the street
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The sad part it did try… and wasted electricity and water
Somebody on the other app said that Cheese Pizza stands for CP and the AI thing becomes even more accurate
Obviously never used AI. How it really goes is that you ask for a cheese pizza and after you spend hours and a bunch of money on tokens, you get an onion and peanut butter pizza with no cheese and you go, “Fuck it. Close enough.”
You forgot the part where they steal the pizzas from other parlors to sell them as thier own.
All that while using enough resources to create tons of pizzas
Cheese Pizza
Then FBI strums in
Eyes should have stayed the same imo… robots ;)
Rich people think this way for everything
And because of that, unfortnately, a lot of regular people also think the entire point of technology and wealth is to never have to do anything substantive.
That’s one of the core injustices of capitalism.
Rich person says “Build a thing”
Workers design, research, and build the thing.
Rich person keeps the profits.
Reminds me of when I heard someone talk about a recent experience when they “built houses”. I thought that sounded unlikely, as I could not picture this person wearing a toolbelt and hardhat and actually swinging a hammer. I asked for clarification, and they explained how they managed a construction company or something, and that in English, saying “I build houses” covers the management side as well, not just the people actually doing the building.
It’s not that hard to say they’re a manager, they just wanted to feel included
As someone who has actually physically built houses (i.e. nailing walls together, putting up the siding, hanging and mudding sheetrock, installing doors and windows etc.) this mindset pisses me off more than anything. “Management” does stuff like buying already-built houses, trucking them to our site and placing them on foundations, discovering the houses were built in the 1960s with 2x3s instead of 2x4s and thus needed to be torn down to the floors because they’re no longer up to code, necessitating us rebuilding the houses entirely from the floors up, and then discovering the houses were placed two feet too close to the property line so we have to literally chop two feet off of them and rebuild the walls.
True fucking story. And I forgot to mention that the floors were 3/4 rotten so we had to rebuild most of them, too.
2x3s instead of 2x4s
How about building houses the right way like in the EU: Out of cellular concrete
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…or swallows the loss.
The laid off workers also suffer the loss, typically.
Furthermore, I don’t think “he gambled” compellingly makes this system fair or good.
The laid off workers also suffer the loss
Or benefits when they got employed. Point is, that you aren’t rising much with just working. You earn your wage whether the owner did right or wrong decision. Unlike them you don’t have to bear the risk of losing your savings
The owner also gets a wage and benefits while the process is running.
And much of the time, they’re spending VC money. Minimal personal risk.
And even so, that doesn’t justify the owner keeping almost all of the proceeds. I don’t care if they put their life savings into it. Labor built it.
“The Life and Times of Thomas Edison”
That’s why they don’t see any problem with replacing workers with AI. They think AI will do X better than humans do just like machines could build X better than humans could at the beginning of the industrial revolution.
But the cost benefit analysis often proves to be quite the opposite in the long-term, despite deceptive short-term gains. But a short-term gains seem to be all that businesses seem to care about.
It’s how our finance systems evolved to be, no one got time to wait for long term gains anymore. It’s all about playing the hot potato.
They like AI because it doesn’t provide feedback about their ideas being less than perfect.
You’re absolutely right!
And here’s the thing
You’re not crazy!
on a slight tangent: that’s why I tend to prefer Claude (when I have to use AI), because it does actually provide push-back and doesn’t get all kiss-ass with me like ChatGPT
This, but you don’t get a pizza, you get a wheel of iron, colored in brown with glue on top of it.
you know, i’ve tried to defend some usage in the past, explaining my processes and the many steps of manual refinement, masking, and layerwork i put in to things, how i only run local models with open weights, how all my power comes from hydro etc etc
but as the tools keep evolving i’ve realised nobody else seems to actually care about the process. the pro-people just want as much slop as possible. someone likened it to a slot machine, where you keep pulling just because. that’s where we are now.
I fully get where you’re coming from. I fully believe that you can’t vibe code correctly unless you already know how to code correctly. I’m against the shifting paradigm of “who cares what the code looks like aa long as it works properly and the LLM can read it quickly” bullshit that’s coming out of it. I want to read the code and understand it too. I want it to be object oriented and not just dumb ad hoc methods everywhere that’s 1,000 lines when it could’ve been 100 lines.
Now anecdotally, as someone who uses it for my main work and side project, I am still getting a lot of use out of it. I’m learning new things at a faster rate than I would have before. For my side project, I am trying to optimize gear sets for a game and there’s hundreds of millions of different configurations. The LLM I’m using knows about my code and the project and what I need and is able to suggest other algorithms, like I was able to learn about Dinkelbach’s algorithm. I have it write up design docs with formulas and pseudocode implementation and I review that and it takes my comments into account. I treat it like a junior developer and ask for questions to make sure I understand what it’s doing. I think a lot of people aren’t treating it like a junior developer or intern and that’s where problems come from.
Now, I wouldn’t be using it if it wasn’t free with my company, as this is more of “learning/research” for my job.
And for my job, we have semantic memory and a ton of MCP servers setup that guide it through the right code and can do internal documentation search so it’s way more powerful than just using base Claude Code or whatever. It has helped me stay more on track with my projects as an ADHD person (even though I’m medicated) by documenting what it does after it does it in a shared doc rather than me forgetting to do that because I run a command and log off for the day or something.
I do hate the water usage and energy usage though…
i refuse to use ml models for code. the copyright issues alone should be enough to keep them away from every public code base until the matter is settled. but also because local tooling is, frankly, shit. i have a bit of hope for text diffusion models, but i have a hard time seeing the situation improving because everyote is full in on cloud models now.
Same, but you forgot, the massive stealing of intellectual property that no government fights against because they are scared to be left behind by big tech, the impact on learning (especially students), and the impact on little hands that had to moderate the NSFL content.
Imagine if you put that much time into a useful skill.
i do. i experiment with transformer and diffusion models like a few hours a month, tops. the result isn’t interesting enough. the process of bending and breaking the models is the fun part.
AI would bring you a big cheese wheel with salami on it, and temu Ratatouille in the background, in the wrong scale. Because that shit is DUMB!
I sometimes have LLMs make and spin up single us UIs for things. It’s not uncommon for me to prompt “make it pretty” or " can you make it" pop " more" which makes me laugh quite a bit.
“Give me a cheese pizza in the style of a famous italian restaurant pizza kitchen. Use lots of cheese, tomato sauce, and bread. Cook it in an oven at a very high temperature. The cheese should be hot to the touch. The crust should be thin when the cooking is complete and have a few tiny black spots on it to show that it is crispy. Put the pizza on a metal tray and deliver it to my table within the next thirty minutes. Make no mistakes.”
You forgot to specify Italian DOP cheese, now you have a pizza oozing with shitty Kraft/Lactalis pseudo-cheese.
This is why no one wants to go to Altoona.
Also you’ll get framed for murder there
Receives pizza
“Why is it covered with pineapple?!?”
Little bit fun little bit stupid and devaluating to human employees or is the waiter a probability robot?
I definitely get the sentiment. But in my opinion it’s closer to somebody going to the pizza shop, ordering and picking up a pizza and bringing it home to fam and saying “hey I got us a pizza”
“That’s a good looking pizza, look at that cheese”
“… Thanks! White glue is commonly used in the industry to get a picture perfect cheese pull”
That’s if you use AI at work. But instead of the fam, it’s your boss.
Architects to engineers? Engineers to construction workers?
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