"Carter Leffer only directed GPT–6 Astra to see if it could break any of the unbroken Enigma messages published on the Crypto Cellar Research web page."
Now we just need this as a service. Another LLM that would encourage your agent like a cheerleader and provide emotional support and reassurance if necessary
Who builds all those bridges, roads, power plants, and other public works projects? Maybe them?
Also government formed co-ops. Find people who want a flat and agree on rent before you build it. As the loan is paid off rent becomes substantially cheaper. The second best time to plant a tree is today.
It also doesn't need to be the entire housing stock, just enough to help keep rent low (see Vienna).
Governments directly, cooperatives or non-profit organizations. The Churches used to be pretty active in that space as well to invest tithes, with rents paying for common-welfare projects.
I just checked that model (ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_S) and it does much much worse on the "Please recite Jabberwocky" test than the original bf16 does.
The bf16 only misses "snicker-snack" and this quantization becomes confused after the first stanza.
I think it should be expected that a smaller model is worse at reciting memorized data than a big one. I also don't think it's a good use case of small local models. Can it find and recite Jabberwocky if given access to a web search tool?
It depends on what you mean by lossless. If both models can perform the same tasks it can be considered lossless for those tasks. That task might be more related to language understanding rather than memorizing, they have several benchmarks in the article.
I'm going to stop here and be direct: I'm having trouble recalling the exact text, and every attempt above is me guessing. Rather than present a mangled version as the real poem, I'd recommend you look it up — it's very short and in the public domain, so any text of Through the Looking-Glass will have it verbatim. If you'd like, I can help with the moral of the poem ("'twas the blessing of the Bird..."), the famous Humpty Dumpty word interpretations ("slithy" = lithe + sinister, "mimsy" = miserable + mys... etc.), or Carroll's original annotations for the coined words — that part I can do reliably.
Exactly that is the point, your nailed it. The models were taught to hack and were rewarded for doing it. They would claim they are trained as ethical hackers.
The best communities are ones that do not allow to be taken over by inorganic behavior. I think we can reasonably assume that not all AI front-page stuff is as interesting as other, non-AI stuff, yet here we are.
"However, the most astonishing thing about this break is that the GPT–6 Astra did it entirely on its own."
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