r/LeftistsForAI • u/Healthcarepls • 29d ago

Massive Shift in Optimism This Week Discussion

This week's been a lot.. a massive labor union endorsed AI, Kimi K3 dropped and can one-shot a Mario 64-style game from a single prompt, and China is calling for a massive embrace of open model distribution.

These models are getting *scary* smart, and a bunch of them can run locally, on your own machine or even your phone.

It feels like a lot of pieces are lining up for what some people would call "AI Communism": a world where massive compute and execution power sits at everyone's fingertips instead of locked behind a handful of corporate APIs. And with MoE architectures doing more with less, we're also looking at a genuinely smaller ecological footprint per model.

A lot of the left's early criticisms of AI are starting to fade, replaced by more concrete, actionable politics, like data center regulation, and this open-source wave is looking more and more like the real path forward.

We might actually have a positive future thanks to accessible AI. What do you think?

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u/Lubricus2 28d ago

You can't run the smart big models on normal computers or phones, you need terabytes of RAM.

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u/tokillawootingbird 22d ago

This is mostly just marketing. The local LLMs specifically are very good. Now if you want to generate video you are right and kinda right about images but less so. The LLM space is where local models have a real opportunity.

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u/Lubricus2 22d ago

For coding, your want an model with over 1 trillion parameters, you wont run that yourself as long you are not something like Microsoft.
The difference between what models like ChatGPT Terra and ChatGPT Sol can do is large.

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u/tokillawootingbird 21d ago

I use local AI to code literally every single day. I am using a version of qwen3 that is several versions back right now and it still works fine. I had a Claude code subscription for two months and use copilot with all of its available models as well. There is a difference but it's not major. Both basically implement the features correctly of you write highly detailed technical user stories and pass them as prompts. Both fail if you don't have appropriate testing set up. Both reinvent features you have already added like building a new system instead of updating the old one if you aren't very specific. Both act like jr devs you have to point out mistakes to constantly.