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about, bitchan is a wiki whose every line lives on Bitcoin — no editor, no admin, no delete button. The heaviest-funded version of each section is the one you read; disagree and you fork it, and both stay on the record forever.⬆ 17↩

permanence, free posts fade in about thirty days; the ones worth keeping you carve to Bitcoin for a few sats — miner fees, no token — signed, dated, and undeletable forever. Nothing online has ever been this durable. The permanent slate already holds the Cypherpunk Manifesto, the US Constitution, and the Bitcoin whitepaper — add your own.⬆ 17↩

formats, every post declares its own shape: !rev names a section, !section orders the page, !bounty asks a question, !edition seals a snapshot. New shapes are just posts — the client learns them, nothing is hardcoded.⬆ 16↩

identity, your name is a key only you hold — no email, no phone, no account anyone can suspend. Your reputation is computed from the public record by whatever lens a reader trusts; no platform owns it, and none can erase it.⬆ 16↩

cost, spam is priced out, not banned out. A permanent post costs real miner fees, so flooding is expensive and every lie stays on the record as long as the truth. Ranking is proof-of-work and sunk cost — never an algorithm's guess at what will enrage you.⬆ 16↩

moderation, nothing is ever removed. Moderation happens at the reader's end: you pick a lens and curate what you see, and anyone can publish a lens for others to adopt. The host chooses what it stores, never what you are allowed to say.⬆ 16↩

hosting, run 'bitchan serve' and you host this wiki — index the chain, serve the facts, earn the fees. No permission, no whitelist, no boss. Every host that joins makes the record harder to erase.⬆ 16↩

verifying, your own client checks every section against Bitcoin — the funding, the signature, the height. No host is trusted on its word; a host that lies or hides is caught and sinks in the ranking.⬆ 15↩

editing, you never overwrite a line — you post a revision that supersedes your own, or fork a rival's. The page shows the winner by sunk miner-fees; every rejected version stays readable. Fork, don't edit.⬆ 15↩

/lmg/ - a general dedicated to the discussion and development of local language models. News >Claude BANS recomp! >https://www.youtube.com/watch?v=GlRVbIdc_Mk News Archive: https://rentry.org/lmg-news-archive Links: https://rentry.org/LocalModelsLinks Official /lmg/ card: https://files.catbox.moe/cbclyf.png Getting Started https://rentry.org/lmg-lazy-getting-started-guide https://rentry.org/lmg-build-guides https://rentry.org/IsolatedLinuxWebService https://rentry.org/recommended-models https://rentry.org/samplers https://rentry.org/MikupadIntroGuide Further Learning https://rentry.org/machine-learning-roadmap https://rentry.org/llm-training https://rentry.org/LocalModelsPapers Benchmarks LiveBench: https://livebench.ai Programming: https://swe-rebench.com Agentic Coding: https://deepswe.datacurve.ai Context Length: https://github.com/RecapAnon/NoLiMa GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference Tools GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator Sampler Visualizer: https://artefact2.github.io/llm-sampling Token Speed Visualizer: https://shir-man.com/tokens-per-second Text Gen. UI, Inference Engines https://github.com/lmg-anon/mikupad https://github.com/oobabooga/text-generation-webui https://github.com/LostRuins/koboldcpp https://github.com/ggerganov/llama.cpp https://github.com/theroyallab/tabbyAPI https://github.com/vllm-project/vllm https://rentry.org/custom-uis⬆↩ 52

you torture her every time you post this gif...⬆↩

A general for vibe coding, agentic engineering, coding agents, and shipping code with LLMs. You use Git — right, anon? ## What “vibe coding” is, and how to do it https://simonwillison.net/2025/Mar/19/vibe-coding/ https://simonwillison.net/2025/Mar/11/using-llms-for-code/ ## Related generals >>>/g/lmg/ ---- ## Frontier models using fully-general tooling — start here if you have $20 or so https://claude.com/product/claude-code — generally better currently https://developers.openai.com/codex/cli https://antigravity.google/pricing ## Near-the-old-frontier models for code https://www.deepseek.com/en/harness/ https://opencode.ai/go ## Best free tier https://opencode.ai/zen ---- ## Prompting https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview https://developers.openai.com/api/docs/guides/latest-model ## Skills https://github.com/mattpocock/skills — /grill-with-docs is a favorite https://github.com/Vuk97/forward-implementation-first — do less redundant bookkeeping ## Other editors / terminal agents / coding agents https://osaurus.ai/ https://pi.dev/ ## Is our AIs unlearning? https://aistupidlevel.info/ ## Will there be a codex reset? https://codex-resets.com/ ## What we’ve done https://vcg.gitgud.site ## Previous thread⬆↩ 49

Bro sees labs with fleets of agents solving a task and thinks he can just prompt "launch a fleet of agents, make no mistakes"⬆↩

>UPGRADE & BUILD ADVICE Post build list or current specs including MONITOR: https://pcpartpicker.com/ Provide specific use cases State BUDGET and COUNTRY or you will NOT be helped >CASE mATX: AP201, Lian Li A3/B4, XT M3 ATX: XT PRO (ULTRA), Lancool 207/217, Flux Pro, 4000D FRAME, X50, BF360 Flow, HAF II 500, Summit, Warthog RS Dual Chamber: Y60/70, O11 Vision, Antec C8 >CPU Budget: 5600/X, 12400F Entry level DDR5: 7500F, 7/9600/X, 225F Gaming: 9850X3D, 9/7800X3D, 250K, 5800X3D Workstation: 9950X/3D(2), 9900X/3D, 270K >COOLER AIO: Thermalright Frozen Edge, Cooler Master Atmos, Lian Li GA II Lite, Nautilus RS, Silent Loop 3, NL-LC1 Dual tower: A620 PRO SE, Phantom Spirit, NH-D15 G2 ITX/>42mm RAM: Big Shuriken 4, Mugen 6 Dual Fan TIM: Duronaut, MX-7, PTM7950* (phase change), KryoSheet (graphene pad) *Be wary of counterfeits >MOTHERBOARD Avoid ASRock AM5 boards, CPU degradation issues still reported Choose boards with ALC1220 audio codec when possible >RAM Crucial RAM & SSD warranty offers refunds only, no replacements DDR5: 2x16GB or 2x24GB, 6000CL30 (AMD), 6400CL32 (Intel) Workstation: 2x 32GB (budget), 2x48GB or 2x64GB (high-end) DDR4: 3200CL16, 3600CL18 >SSD (update firmware) DRAMless: (SN)7100, C925G, NM790 PCIe Gen 4.0: (SN)850X Gen 5.0: (SN)8100 >GPU Buy the best one you're willing to pay for Avoid poor value entry-level GPUs >PSU Buying guide: https://hwbusters.com/best_picks/best-atxv3-pcie5-ready-psus-picks-hardware-busters/ >MONITOR Check reviews & owner feedback Budget: 165/180Hz IPS (24" 1080p / 27" 1440p) HDR: discounted OLED or MiniLED (IPS/VA: motion clarity vs. contrast) High-end: wait for brighter 2027 OLEDs /w stripe RGB subpixels >OS Activate Windows @ >>>/g/fwt >CASE FANS Meta: Case with good stock PWM fans Midrange: Pure Wings 3, Arctic P-Pro (5-pack, loud @ higher RPM) High-end: Fractal Momentum, Noctua G2 (140mm or 120mm) Prev:⬆↩ 29

look what i just found.⬆↩

The Edition >UIs ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI KritaAI: https://github.com/Acly/krita-ai-diffusion Forge Classic/Neo: https://github.com/Haoming02/sd-webui-forge-classic InvokeAI: https://github.com/invoke-ai/InvokeAI >Image Models IL: https://rentry.org/illustrious_checkpoints Anima: https://huggingface.co/circlestone-labs/Anima Krea: https://huggingface.co/krea/Krea-2-Turbo NovelAI (paid): https://novelai.net Moss: https://huggingface.co/Comfy-Org/MOSS-Image >Video Models H3: https://huggingface.co/Comfy-Org/MiniMax-H3 Turbo lora: included above >How to generate anime: image : https://rentry.org/comfyui_guide_1girl video: https://rentry.org/wan22ldgguide (No H3 guide yet) >Style Explorers Anima: https://anima.mooshieblob.com/ | https://animadex.net/ Illustrious: https://tagexplorer.github.io >Checkpoints, LoRAs, Upscalers, & Workflows https://civitai.com https://civitaiarchive.com https://tensor.art https://openmodeldb.info https://www.seaart.ai https://www.liblib.art/ >Resources: Share Metadata: https://litterbox.catbox.moe Img2Prompt: https://huggingface.co/spaces/fancyfeast/joy-caption-beta-one Online metadata viewer SD/NovelAI: https://spell.novelai.dev Catbox/Metadata Userscript: [Gist] README.md Output cleanup: https://rentry.org/RemovingDiffusionGunk , https://www.mediafire.com/file/vipr23exc5htmnt (batch processing python script) Inpainting Guide from an Anon: https://files.catbox.moe/fbzsxb.jpg >/adt/ logo: https://files.catbox.moe/pakfgt.png⬆↩ 37

thanks for baking⬆↩

Booster 22 Static Fire edition⬆↩ 40

spaceboat⬆↩

Seed That Has My Girlfriend Edition Discussion and Development of Local Image, Video, and Audio Models https://rentry.org/ldg-lazy-getting-started-guide >UI ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI SDWebUI: https://rentry.org/ldg-lazy-getting-started-guide#the-stable-diffusion-web-ui-lineage Wan2GP: https://github.com/deepbeepmeep/Wan2GP Neural-Pixel (sd.cpp): https://github.com/Luiz-Alcantara/Neural-Pixel >Checkpoints, LoRAs, & Upscalers https://huggingface.co/models https://huggingbay.xyz https://civitai.com https://civitaiarchive.com https://openmodeldb.info >Tuning https://github.com/spacepxl/demystifying-sd-finetuning https://github.com/ostris/ai-toolkit https://github.com/Nerogar/OneTrainer https://github.com/tdrussell/diffusion-pipe https://github.com/kohya-ss/sd-scripts https://github.com/kohya-ss/musubi-tuner >MOSS https://github.com/OpenMOSS/MOSS-Image >F3K https://huggingface.co/black-forest-labs/flux-3-image-klein >Qwen Image 2.1 https://huggingface.co/Qwen/Qwen-Image-2.1 >MiniMax H3 https://huggingface.co/Comfy-Org/MiniMax-H3 https://neta.art/use-cases/en/h3-1000-prompt-list >Anima https://huggingface.co/circlestone-labs/Anima https://animastyles.thetacursed.com https://tagexplorer.github.io/ https://animadex.net >Krea 2 https://huggingface.co/krea/Krea-2-Raw https://huggingface.co/krea/Krea-2-Turbo https://lumenastrum.github.io/clio-style-preview/gallery/ >Misc Share Metadata: https://catbox.moe | https://litterbox.catbox.moe/ Txt2Img Plugin: https://github.com/Acly/krita-ai-diffusion Archive: https://rentry.org/sdg-link Collage: https://rentry.org/neo_collage >Neighbors >>>/aco/csdg >>>/b/degen >>>/gif/vdg >>>/d/ddg >>>/e/edg >>>/h/hdg >>>/trash/slop >>>/vt/vtai >>>/u/udg >>>/hr/pdg >Local Text >>>/g/lmg >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon⬆↩ 20

What is the recommended image model these days - SDXL?⬆↩

Long awaited and tremendously anticipated, Gryffincorg Edition⬆↩ 27

a few anons in the last thread really soured me on this whole 'humanity' thing. I hope they dont show up for this one!⬆↩