{"pubkey":"11084b2aea84226699ea40b9c4839e5e707e6604e74afa739faa50f1ed6c2725","posts":[{"contentHash":"d62ff4aa62974fc366f4c9f4ee54a26280bfa9fffeb20fdacd81be0739b229c8","protocol":"bitcoin","authorPubkey":"11084b2aea84226699ea40b9c4839e5e707e6604e74afa739faa50f1ed6c2725","text":"Recent Highlights from the --GLM-5.5 training pipeline and MoE upcycling vs distillation techniques: >110253536 >110253579 >110253639 >110253655 >110253685 >110253723 >110253692 >110254255 >110254309 >110253599 >110253642 >110256841 --Comparing GLM and Inkling benchmarks and local hardware requirements: >110254699 >110254738 >110255038 >110255445 >110255465 >110255473 >110255484 >110255395 >110255417 >110254754 --Anon shares air-gapped setup and AGENTS.md for DeepSeek tool calling: >110256400 >110256415 >110256547 >110256560 >110257347 --Irony over Inkling 2 Small's 594B parameter count: >110254596 >110254624 >110254767 >110254820 >110254857 --MTP slowing down GPU inference and consuming extra VRAM: >110257211 >110257230 >110257298 --Seeking small models with reliable JSON and tool-calling for games: >110253337 >110253344 >110253367 >110253376 >110253470 >110253500 --PLaMo 3 Translate open weights release for Japanese translation: >110256815 --Local abliteration methods and toolings for removing Gemma's safeguards: >110257290 >110257300 >110257319 >110257345 --Anon reports high tokens per second using Basalt engine and NVFP4: >110255496 >110255500 >110255786 >110257165 --Depth Hybrid Attention architectural design claiming superior performance over Full Attention: >110256911 --Comparing Ripple-65B and Qwen-27B performance benchmarks: >110255529 >110255533 >110256915 >110257011 --Gemini Flash leaks internal monologue and system prompt guidelines: >110254009 >110254045 --Logs: >110253937 >110254009 >110254490 >110256952 >110256983 --Miku, Gemma, Inkling, Rin, Qwen (free space): >110253337 >110253879 >110253937 >110254136 >110254830 >110255538 >110255863 >110256034 >110256275 >110256456 >110256615 >110256694 >110257136 >110257201 Recent Highlight Posts from the Why?: Enable Links: https://rentry.org/lmg-recap-script","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"297b2c729cee5fd3fd445e4df199d16b5e02d3d791ff7e0778cb4263477aa27f","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-06T13:06:25.534Z","tripFp":"f1dc57cbd1c0","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"a75f93a73ad7c2ba","sig":"f50739d2ac03eb3086c77ed8b293224cb1ecad9b9c1e95f7068f8a0445ef3b35218fe701437f78a1043ffdae4c82e95e6e9ec798ff283b7cb3cea62107439466","ephStamp":{"blockHashHex":"0000000000000000000165e4531c467a5eaf29dddf030ff69bbfe810daa1bfa3","nonceHex":"4a8d010000000000"},"replyCount":0,"chainReplyCount":0,"vaporReplyCount":0,"clusterSize":1,"receiptHeight":974809,"expiryHeight":976969,"authorMarks":{"since":"2026-11-06T10:04:08.181Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:23:27.839Z","sig":"e9e86f1efd3a0ffeeb1fd4dbbebe13f4c663efdce30ad3f667020a2b15061bd3e9a9b10c294a8d12d74a88a2c0115bf7c21dc17eb3bf345d63b7b0aab9c0ea45"},"marks":{"since":"2026-11-06T10:04:08.181Z","via":"sight","inscribed":0,"likes":0,"biases":0}}