►Recent Highlights from the Previous Thread: >>106153995

--OpenAI red-teaming challenge targets model deception:
>106154200 >106154246 >106154590 >106155034 >106155069 >106155221
--Critique of token-level censorship and its impact on model reasoning in cockbench tests:
>106155703 >106155726 >106155734 >106155742 >106155776 >106155787 >106155913 >106155959 >106155963
--Jailbreak success using custom system prompts and token prefixes:
>106154955 >106155007 >106155028 >106155046 >106155080 >106155112 >106155038 >106155059 >106155125 >106155144 >106155275
--Misleading claims about MXFP4 native training clarified as standard QAT:
>106154090 >106154137 >106154454
--Benchmarking large LLMs on consumer hardware with focus on MoE and quantization:
>106154678 >106154716 >106154795 >106154806 >106154908 >106154925 >106154854
--120B model underperforms in creative writing benchmark despite large size:
>106155284 >106155330 >106155307 >106155329 >106155397 >106155400 >106155311 >106155360 >106155407 >106155335 >106155367 >106155373 >106155378 >106155479 >106155484
--gpt-oss 20B fails complex coding tasks despite high expectations:
>106154782 >106154792 >106154804 >106154836 >106154844 >106154856 >106154879 >106154950 >106155061 >106155153 >106154884 >106154970 >106155056 >106155211
--Attempt to bypass content policies using prompt engineering and local tools:
>106154182 >106154404 >106154499 >106154562 >106154603 >106154497 >106154547 >106154571
--Livebench performance vs cost tradeoff on OpenRouter:
>106154146 >106154160 >106154163
--Logs:
>106154045 >106154089 >106154239 >106154311 >106154404 >106154406 >106154952 >106154985 >106155067 >106155107 >106155222 >106155563 >106155692 >106155767 >106155986 >106156051 >106156087 >106156141 >106156310 >106156468 >106156504 >106156539 >106156632
--Miku (free space):
>106155100 >106155448 >106156463

►Recent Highlight Posts from the Previous Thread: >>106154432

Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script