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From the hero image: wire every count it cannot prove is a total ships labelled as a floor What on earth does this mean?

From the hero image: *wire* every count it cannot prove is a total ships labelled as a floor What on earth does this mean?

deleted 12d ago
[deleted]
cityofdelusion 12d ago
A bunch of sections of the README are nonsensical as well. I'll just file this under "magical token-saving project #481 of 2026 that probably performs worse than the harness" for now.
- vintermann 12d ago
  Feels like it to me too. Not only is it clearly extremely vibecoded, but the human author seems to have failed at (or not tried) restraining common agent impulses such as writing huge, sprawling stream-of-artificial-consciousness "documentation" which is of no use for humans, and questionable use for the agents themselves.
  - SwellJoe 12d ago
    My policy is that if someone doesn't understand the tool they've vibe-coded well enough to make the documentation coherent, they don't actually use it, and so I probably shouldn't use it either.
SwellJoe 12d ago
Opus can't speak coherent English anymore. I dunno what happened, but it's not speaking a language humans can understand. It uses unusual shorthand and slang, which it seems to use pretty consistently, so it's probably possible to learn its particular dialect. But, I'd rather it speak a language I already know.
- cyanydeez 11d ago
  I assume all major cloud AI are lowering their quants and measuring user retention.
  - SwellJoe 11d ago
    That doesn't really track, though. Even tiny models, like Gemma 4, have coherent prose. I know Opus isn't being quantized that small. It seems like it must be some kind of...I dunno. Maybe over-fitting toward some user metric that doesn't track how readable its writing is? It seems to still be good at code (though I haven't directly compared to earlier Opus versions lately), so it's not a general model collapse type problem, nor quantization errors. If quantization problems, I would expect it to break down on logic before prose, since a 4-bit quantized Gemma 4, even the small versions, have pretty good and, more importantly, coherent written English.
    - cyanydeez 11d ago
      Qwen3.8 quant 4 27b works coherently and takes up very little space. If the cloud AIs arnt downsizing the majority of their customers, they will be out of business.
      - cyanydeez 11d ago
        Qwen3.8-flash-next can run in ~60gb, offloading 50gb to ssd, and is comparible. The business has to downgrade to be sustainable, and open models prove it.

From the hero image: *wire* every count it cannot prove is a total ships labelled as a floor What on earth does this mean?

deleted 12d ago

[deleted]

cityofdelusion 12d ago

A bunch of sections of the README are nonsensical as well. I'll just file this under "magical token-saving project #481 of 2026 that probably performs worse than the harness" for now.

vintermann 12d ago
Feels like it to me too. Not only is it clearly extremely vibecoded, but the human author seems to have failed at (or not tried) restraining common agent impulses such as writing huge, sprawling stream-of-artificial-consciousness "documentation" which is of no use for humans, and questionable use for the agents themselves.
- SwellJoe 12d ago
  My policy is that if someone doesn't understand the tool they've vibe-coded well enough to make the documentation coherent, they don't actually use it, and so I probably shouldn't use it either.

SwellJoe 12d ago

Opus can't speak coherent English anymore. I dunno what happened, but it's not speaking a language humans can understand. It uses unusual shorthand and slang, which it seems to use pretty consistently, so it's probably possible to learn its particular dialect. But, I'd rather it speak a language I already know.

cyanydeez 11d ago
I assume all major cloud AI are lowering their quants and measuring user retention.
- SwellJoe 11d ago
  That doesn't really track, though. Even tiny models, like Gemma 4, have coherent prose. I know Opus isn't being quantized that small. It seems like it must be some kind of...I dunno. Maybe over-fitting toward some user metric that doesn't track how readable its writing is? It seems to still be good at code (though I haven't directly compared to earlier Opus versions lately), so it's not a general model collapse type problem, nor quantization errors. If quantization problems, I would expect it to break down on logic before prose, since a 4-bit quantized Gemma 4, even the small versions, have pretty good and, more importantly, coherent written English.
  - cyanydeez 11d ago
    Qwen3.8 quant 4 27b works coherently and takes up very little space. If the cloud AIs arnt downsizing the majority of their customers, they will be out of business.
    - cyanydeez 11d ago
      Qwen3.8-flash-next can run in ~60gb, offloading 50gb to ssd, and is comparible. The business has to downgrade to be sustainable, and open models prove it.