1 llm-wiki · GitHub raw/articles/01-llm-wiki-github.mdfetched 2 Reddit - Please wait for verification raw/articles/02-reddit-please-wait-for-verification.mdfetched 3 Reddit - Please wait for verification raw/articles/03-reddit-please-wait-for-verification.mdfetched 4 pi-bench | Local AMD Benchmarks raw/articles/04-pi-bench-local-amd-benchmarks.mdfetched 5 Robonaissance | Hugo | Substack raw/articles/05-robonaissance-hugo-substack.mdfetched 6 archive.is/F0fyO raw/articles/06-archive-is-f0fyo.mdfetch failed; HTTPError: HTTP Error 429: Too Many Requests 7 Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining raw/articles/07-automating-skill-md-generation-for-computer-using-agents-via-interacti.mdfetched 8 Vik Paruchuri on X: “We’re open sourcing a 9B model that extracts structured data from documents at near-frontier performance. - 90.2% on our bench, vs Gemini 3.5 Flash at 91.3% - Leads extraction models like NuExtract3 (81.5%) - 9.5s p50 timings - Pass JSON schema https://t.co/zIdRbGjaY5” / X raw/articles/08-vik-paruchuri-on-x-we-re-open-sourcing-a-9b-model-that-extracts-struct.mdfetched 9 VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models raw/articles/09-vibethinker-3b-exploring-the-frontier-of-verifiable-reasoning-in-small.mdfetched 10 Midjourney on X: “A technical dive inside our new “Midjourney Scanner” https://t.co/wJBHz2O7ro” / X raw/articles/10-midjourney-on-x-a-technical-dive-inside-our-new-midjourney-scanner-t-c.mdfetched 11 Running DiffusionGemma on AMD Strix Halo and Decade-Old Tesla P40s | TinyComputers.io raw/articles/11-running-diffusiongemma-on-amd-strix-halo-and-decade-old-tesla-p40s-tin.mdfetched 12 Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI raw/articles/12-everything-i-learned-training-frontier-small-models-maxime-labonne-liq.mdfetched via oEmbed 13 Yann LeCun’s $1B Bet Against LLMs [Part 2] raw/articles/13-yann-lecun-s-1b-bet-against-llms-part-2.mdfetched via oEmbed 14 AINews: Loopcraft: The Art of Stacking Loops raw/articles/14-ainews-loopcraft-the-art-of-stacking-loops.mdfetched 15 Lucas Beyer (bl16) on X: “You may have recently heard claims that video generation models are “dumb” about physics, and only “world models” (V-JEPA, specifically) have a valid internal model of physics. This turns out to be false. In a recent paper, researchers show that a LINEAR probe of diffusion https://t.co/uqleVq5lq2” / X raw/articles/15-lucas-beyer-bl16-on-x-you-may-have-recently-heard-claims-that-video-ge.mdfetched 16 Daniel Han on X: “We also made a finetuning notebook showing how DiffusionGemma works well for solving Sudoku - normal LLMs think left to right, and can’t edit its previous responses, whilst diffusion LLMs can update its past tokens! This makes them super powerful for refinement tasks! https://t.co/O7OgbuvXRz” / X raw/articles/16-daniel-han-on-x-we-also-made-a-finetuning-notebook-showing-how-diffusi.mdfetched 17 GitHub - RyanCodrai/turbovec: A vector index built on TurboQuant, written in Rust with Python bindings · GitHub raw/articles/17-github-ryancodrai-turbovec-a-vector-index-built-on-turboquant-written.mdfetched 18 Hugo (@robonaissance): “Christopher Watkins was at Philips Research Labs in Surrey, working on expert systems. He had left Cambridge two years earlier without finishing his PhD. He had no paper to present at the workshop, and no specific agenda. During one of the talks at UC Irvine, he was bored. He i…” raw/articles/18-hugo-robonaissance-christopher-watkins-was-at-philips-research-labs-in.mdfetched 19 Omar Sanseviero on X: “llama.cpp just added video input support 👀 You can now enjoy Gemma 4 video understanding capabilities in your chat completions endpoint and via mtmd-cli https://t.co/p79ZKMXLue” / X raw/articles/19-omar-sanseviero-on-x-llama-cpp-just-added-video-input-support-you-can.mdfetched 20 Agent Skills Overview - Agent Skills raw/articles/20-agent-skills-overview-agent-skills.mdfetched