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‎src/App.tsx‎

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@@ -2434,6 +2434,36 @@ import { LazyPage1mbx6zk } from './page/1mbx6zk/LazyPage';
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import { LazyPage1mbxx64 } from './page/1mbxx64/LazyPage';
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import { LazyPage1mby5ct } from './page/1mby5ct/LazyPage';
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import { LazyPage1mby6nd } from './page/1mby6nd/LazyPage';
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import { LazyPage1mbzdx8 } from './page/1mbzdx8/LazyPage';
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import { LazyPage1mc0m3e } from './page/1mc0m3e/LazyPage';
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import { LazyPage1mc0vyb } from './page/1mc0vyb/LazyPage';
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import { LazyPage1mc22jg } from './page/1mc22jg/LazyPage';
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import { LazyPage1mc239f } from './page/1mc239f/LazyPage';
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import { LazyPage1mc253f } from './page/1mc253f/LazyPage';
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import { LazyPage1mc2ibo } from './page/1mc2ibo/LazyPage';
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import { LazyPage1mc4y83 } from './page/1mc4y83/LazyPage';
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import { LazyPage1mc5e54 } from './page/1mc5e54/LazyPage';
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import { LazyPage1mc5gv1 } from './page/1mc5gv1/LazyPage';
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import { LazyPage1mc5jsx } from './page/1mc5jsx/LazyPage';
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import { LazyPage1mc5oh2 } from './page/1mc5oh2/LazyPage';
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import { LazyPage1mc5s4r } from './page/1mc5s4r/LazyPage';
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import { LazyPage1mc644b } from './page/1mc644b/LazyPage';
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import { LazyPage1mc687c } from './page/1mc687c/LazyPage';
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import { LazyPage1mc6dfx } from './page/1mc6dfx/LazyPage';
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import { LazyPage1mc6fbp } from './page/1mc6fbp/LazyPage';
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import { LazyPage1mc6kad } from './page/1mc6kad/LazyPage';
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import { LazyPage1mc7ft1 } from './page/1mc7ft1/LazyPage';
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import { LazyPage1mc7q0n } from './page/1mc7q0n/LazyPage';
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import { LazyPage1mc7ri9 } from './page/1mc7ri9/LazyPage';
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import { LazyPage1mc7xjb } from './page/1mc7xjb/LazyPage';
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import { LazyPage1mc83jm } from './page/1mc83jm/LazyPage';
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import { LazyPage1mc8evq } from './page/1mc8evq/LazyPage';
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import { LazyPage1mc8fhc } from './page/1mc8fhc/LazyPage';
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import { LazyPage1mc8hn6 } from './page/1mc8hn6/LazyPage';
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import { LazyPage1mc8i36 } from './page/1mc8i36/LazyPage';
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import { LazyPage1mc8tks } from './page/1mc8tks/LazyPage';
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import { LazyPage1mc9o4m } from './page/1mc9o4m/LazyPage';
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import { LazyPage1mc9sk0 } from './page/1mc9sk0/LazyPage';
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const App = () => (
@@ -4861,6 +4891,36 @@ const App = () => (
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<Route path="/1mbxx64" element={<LazyPage1mbxx64 />} />
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<Route path="/1mby5ct" element={<LazyPage1mby5ct />} />
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<Route path="/1mby6nd" element={<LazyPage1mby6nd />} />
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<Route path="/1mbzdx8" element={<LazyPage1mbzdx8 />} />
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<Route path="/1mc0m3e" element={<LazyPage1mc0m3e />} />
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<Route path="/1mc0vyb" element={<LazyPage1mc0vyb />} />
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<Route path="/1mc22jg" element={<LazyPage1mc22jg />} />
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<Route path="/1mc239f" element={<LazyPage1mc239f />} />
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<Route path="/1mc253f" element={<LazyPage1mc253f />} />
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<Route path="/1mc2ibo" element={<LazyPage1mc2ibo />} />
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<Route path="/1mc4y83" element={<LazyPage1mc4y83 />} />
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<Route path="/1mc5e54" element={<LazyPage1mc5e54 />} />
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<Route path="/1mc5gv1" element={<LazyPage1mc5gv1 />} />
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<Route path="/1mc5jsx" element={<LazyPage1mc5jsx />} />
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<Route path="/1mc5oh2" element={<LazyPage1mc5oh2 />} />
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<Route path="/1mc5s4r" element={<LazyPage1mc5s4r />} />
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<Route path="/1mc644b" element={<LazyPage1mc644b />} />
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<Route path="/1mc687c" element={<LazyPage1mc687c />} />
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<Route path="/1mc6dfx" element={<LazyPage1mc6dfx />} />
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<Route path="/1mc6fbp" element={<LazyPage1mc6fbp />} />
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<Route path="/1mc6kad" element={<LazyPage1mc6kad />} />
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<Route path="/1mc7ft1" element={<LazyPage1mc7ft1 />} />
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<Route path="/1mc7q0n" element={<LazyPage1mc7q0n />} />
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<Route path="/1mc7ri9" element={<LazyPage1mc7ri9 />} />
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<Route path="/1mc7xjb" element={<LazyPage1mc7xjb />} />
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<Route path="/1mc83jm" element={<LazyPage1mc83jm />} />
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<Route path="/1mc8evq" element={<LazyPage1mc8evq />} />
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<Route path="/1mc8fhc" element={<LazyPage1mc8fhc />} />
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<Route path="/1mc8hn6" element={<LazyPage1mc8hn6 />} />
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<Route path="/1mc8i36" element={<LazyPage1mc8i36 />} />
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<Route path="/1mc8tks" element={<LazyPage1mc8tks />} />
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<Route path="/1mc9o4m" element={<LazyPage1mc9o4m />} />
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<Route path="/1mc9sk0" element={<LazyPage1mc9sk0 />} />
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<Route path="*" element={<Navigate to="/landing" replace />} />
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</Routes>
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</CustomLayout>

‎src/layout/CustomLayout.tsx‎

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@@ -9692,6 +9692,126 @@ const defaultMenus: MenuDataItem[] = [
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path: '/1mby6nd',
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name: 'Has anyone used PEZ or similar learned hard prompt methods for local LLMs?',
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},
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{
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path: '/1mbzdx8',
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name: 'Best Coding LLM for',
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},
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{
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path: '/1mc0m3e',
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name: 'SmallThinker Technical Report Release!',
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},
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{
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path: '/1mc0vyb',
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name: 'First time setting up a local LLM, looking for model suggestions to create Anki formatted flashcards',
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},
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{
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path: '/1mc22jg',
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name: 'Best Image/Stable Diffusion model that can work with MLX?',
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},
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{
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path: '/1mc239f',
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name: 'Vision agent for AFK gains?',
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},
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{
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path: '/1mc253f',
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name: '~2–3 x Mac Studios M3 Ultra (512GB) Cluster for Large Model Inference?',
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},
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{
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path: '/1mc2ibo',
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name: 'Any interesting local LLM options for a home server that\'s about to have 2x mi210 GPUs?',
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},
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{
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path: '/1mc4y83',
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name: 'How do you keep yourself updated?',
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},
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{
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path: '/1mc5e54',
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name: 'Single-File Qwen3 Inference in Pure CUDA C',
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},
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{
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path: '/1mc5gv1',
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name: 'Finetuning Script for Voxtral',
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},
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{
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path: '/1mc5jsx',
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name: 'Best open source voice cloning today, with hours of reference?',
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},
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{
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path: '/1mc5oh2',
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name: 'This year’s best open-source models and most cost-effective models',
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},
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{
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path: '/1mc5s4r',
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name: 'Can you suggest a better WebUI program for textgen that has better memory management than Oobabooga?',
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},
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{
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path: '/1mc644b',
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name: 'Told Qwen3 1.7b (thinking) to make a black hole simulation',
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},
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{
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path: '/1mc687c',
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name: 'New Benchmark - FamilyBench - Test models ability to understand complex tree type relationship and reason on massive context. Immune to contamination. GML 4.5 64.02%, Gemini 2.5 pro 81,48%.',
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},
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{
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path: '/1mc6dfx',
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name: 'Something lightweight: a LLM simulation of Bernie Sanders',
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},
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{
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path: '/1mc6fbp',
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name: 'GLM 4.5 support is landing in llama.cpp',
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},
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{
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path: '/1mc6kad',
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name: 'Help! Open Interpreter not printing the response in console',
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},
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{
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path: '/1mc7ft1',
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name: 'Converting a conformer model',
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},
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{
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path: '/1mc7q0n',
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name: 'Glm 4.5 air and 5090',
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},
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{
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path: '/1mc7ri9',
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name: 'Success with open source models?',
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},
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{
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path: '/1mc7xjb',
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name: 'CWC now supports kimi.com (K2) and chat.z.ai (GLM-4.5) to enable coding with top tier models at no cost',
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},
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{
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path: '/1mc83jm',
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name: 'Mac Studio 512GB vs MBP 128GB similar performance?',
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},
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{
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path: '/1mc8evq',
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name: 'Built RL training for long-horizon terminal agents - tested on 32x H100s but too GPU poor to train 😅',
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},
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{
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path: '/1mc8fhc',
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name: 'Let\'s Build a "Garage AI Supercomputer": A P2P Compute Grid for Inference',
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},
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{
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path: '/1mc8hn6',
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name: 'Does anyone have experience use qwen3 8b with PPO to fine tune a model?',
9798+
},
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{
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path: '/1mc8i36',
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name: 'Building a custom LLM trained on luciform prompts + ShadeOS daemon dialogues – seeking help',
9802+
},
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{
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path: '/1mc8tks',
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name: 'I just tried GLM 4.5',
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},
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{
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path: '/1mc9o4m',
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name: 'Stuck on a problem? We\'re excited to share a glimpse of what\'s possible! 👋',
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},
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{
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path: '/1mc9sk0',
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name: '🌟 Ming-lite-omni v1.5 is here! Our recent upgrade for omni-modal AI! 🚀',
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},
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],
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},
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{

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