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Recent Highlights from the --Papers: >110234196 --Debating Strata's speed gains versus model intelligence degradation: >110233168 >110233185 >110233770 >110233877 >110233921 >110233936 >110233863 --Optimizing 7900 XTX performance in llama.cpp using ROCm and MTP: >110232461 >110232467 >110232492 >110232511 >110232565 >110232596 >110232607 >110232622 >110232640 >110232659 --Engineering neural circuitry and bare-metal AI execution via weight-space programming: >110232802 >110232926 >110232939 >110233045 --Adjusting logit softcapping to fix Gemma's repetitive outputs: >110234481 >110234506 >110234561 >110234569 >110234594 --Comparing Gemma-4 and Qwen for coding and multi-model workflows: >110234533 >110234544 >110234558 >110234548 >110234626 >110234647 --Analyzing network weights and the capability gap between frontier and open-weights models: >110231272 >110231304 >110231434 >110231542 >110231484 >110231698 --Potential of Weight-Space Programming to replace traditional finetuning: >110232513 >110232990 --Prompting strategies and performance of Gemma for explicit roleplay: >110231791 >110231801 >110231811 >110231820 >110232160 >110231829 --Comparing Gemma and Index-Translate performance on OtakuBench: >110231382 >110231458 >110231486 >110231531 --Weight-space programming effectiveness and implications for model training: >110232544 >110232556 >110232951 >110232960 >110234410 >110234433 --RWKV-8 RPU performance showcase and prompt sensitivity quirks: >110234114 >110234131 --Logs: >110231353 >110235321 --Miku, Gemma, Dipsy, Teto (free space): >110230872 >110230917 >110231046 >110231061 >110231117 >110231119 >110231575 >110231660 >110231724 >110231907 >110231949 >110232384 >110232455 >110232502 >110232545 >110233957 >110234153 >110234181 >110234652 >110234722 >110234725 Recent Highlight Posts from the Why?: Enable Links: https://rentry.org/lmg-recap-script⏱ 5d↩