{"pubkey":"29ab144eb259eeac31aa013a04f01a6b4d7ed3819569d51d3ab6d413be8de652","posts":[{"contentHash":"5f9e3ea361ed6533e82a9190075068b9a810e4e4e53399c5c9fed721c4c47af1","protocol":"bitcoin","authorPubkey":"29ab144eb259eeac31aa013a04f01a6b4d7ed3819569d51d3ab6d413be8de652","text":"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","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"2bf97aff2cbc951346b411c0a5a267b2f13e546a379920f7a2e769c01c9a4022","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-03T15:05:05.749Z","tripFp":"cecc068812ff","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"aca87c90b03ad5a2","sig":"05cf304429a1162862bd88d05fee1e503e067142d90ea11107b4173e7556ef021484e1ed52b228b571c3af0568fc0633df6a1c2dea76d5fef53dc628cff31ddb","ephStamp":{"blockHashHex":"00000000000000000001c920345e04ab6db93265d3357023afd8b4c0bcc4c33c","nonceHex":"b65a000000000000"},"replyCount":0,"chainReplyCount":0,"vaporReplyCount":0,"clusterSize":1,"receiptHeight":974399,"expiryHeight":976559,"authorMarks":{"since":"2026-11-03T15:05:05.798Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:21:42.366Z","sig":"f0b2df61bdb8a24f82801ddab36f7337724336aaba3942c8c3e6afb0ee260313bdaf6e61392805fc797de7b992c5a0543b05b0f775cc87a75cdccb424f7114c1"},"marks":{"since":"2026-11-03T15:05:05.798Z","via":"sight","inscribed":0,"likes":0,"biases":0}}