►Recent Highlights from the Previous Thread: >>106104055

--MoE vs dense model scaling debate using Qwen3 as a case study:
>106104551 >106104653 >106104595 >106104691 >106104704 >106104782 >106104859 >106104871 >106104885 >106104983 >106105027 >106105133 >106105180 >106105191 >106105123 >106105199 >106105209 >106105239 >106105262 >106105282 >106105302 >106105329 >106105391 >106105406 >106105424 >106105434 >106105508 >106105539 >106105558 >106105641 >106105435 >106105844 >106105881 >106105635 >106105681 >106105686 >106105768 >106105794 >106105799 >106105800 >106105967 >106106045 >106106060 >106106025 >106106036 >106106107 >106104723 >106104770 >106104904 >106104955 >106105134 >106105348 >106105032 >106105293 >106104710
--AI overuse of "smell of ozone" as a sensory cliché from contaminated training data:
>106105452 >106105492 >106105493 >106105524 >106105905
--MoE models challenge dense superiority myth with competitive benchmark performance:
>106105182 >106105195 >106105227 >106105243 >106105244 >106105237 >106105247 >106105304
--LMArena leaderboard controversy over benchmaxxing and model anonymity:
>106106249 >106106355 >106106386 >106106412 >106106430 >106106405
--Horizon Alpha shows strong general knowledge but inconsistent reasoning, suggesting a stealth or mini model:
>106104320 >106104475 >106104509
--Skepticism over Drag-and-Drop LLMs due to non-functional demo and gated training data:
>106105574 >106105671
--Poor dark scene generation highlights model quality in prompt interpretation:
>106106138 >106106172 >106106232 >106106265 >106106177 >106106226 >106106242 >106106274 >106106323 >106106327 >106106291 >106106370
--Seeking open, local LLM frontend alternatives to Ooba and Kobold with better UX:
>106105614 >106105634 >106105747 >106106106 >106106350 >106106389
--Miku (free space):
>106104200 >106105614 >106105653 >106107027

►Recent Highlight Posts from the Previous Thread: >>106104059

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