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/AAD/ - Archiving And Donating computer resources general

No.100091157 View ViewReplyOriginalReport
Useful archiving efforts and other projects to help out with:

HIGH priority (If you don't help archive these automatically, the data will probably be lost forever):

1. Help out automatically archive things being shut down right now by running ArchiveTeam Warrior program (or specific containers) in the background:
Requirements: Few GB of space, some bandwidth and small amount of CPU power, more info: https://wiki.archiveteam.org/index.php/ArchiveTeam_Warrior
http://warrior.archiveteam.org/

2. Help out automatically forward URLs you browse that are not archived on https://archive.org to them for archival with a browser extension:
https://github.com/internetarchive/wayback-machine-webextension

How would you change intellectual property laws if you could, /g/?

No.100090130 View ViewReplyOriginalReport
And why?
2 posts omitted

/pcbg/ - PC Building General

No.100088345 View ViewReplyLast 50OriginalReport
>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.

>UPCOMING
Intel Battlemage (Q3 2024)
RTX 5000 Series (Q4 2024)
Intel Arrow Lake (Q4 2024)

>CPU
Web browsing: i3 14100/5600G
Budget: i5 12600KF
Gaming: i7 12700KF/7600
High end gaming: i7 14700K/7800X3D
Workstation: 14700K/7900X
AM4 upgrade: 5600/5800X3D

>COOLER
Arctic Liquid Freezer III
Thermalright Phantom Spirit 120 EVO
Scythe Fuma 3 (ITX/>42mm RAM)
Thermalright Peerless Assassin SE
Budget: Assassin X 120 Refined SE, ID-COOLING SE-214-XT
AVOID: Dark Rock Pro 4/5, NH-U12A/D15(S)

>MOTHERBOARD
ASRock B650M-HDV/M.2

>RAM
DDR4: 2x16GB 3200CL16. Budget, 2x8GB
DDR5: 2x16GB 6000CL30
Workstation/high end: consider 2x32GB

>SSD (OS drive)
Budget: Crucial P3 Plus, Lexar NM710 (EU)
Mid range: WD SN850X
High end: Sabrent Rocket 5, Samsung 990 Pro

>GPU
1080p: RTX 4070 Super, budget: RTX 4060
1440p: RTX 4080 Super, budget: RTX 4070 Ti Super
2160p: RTX 4090
Workstation: RTX 4000 Series, AVOID: AMD cards, RTX 3060 12GB

>CASE (from $ to $$$)
mATX: Montech Air 100, Fractal Pop Mini Air, Lian Li O11 Air Mini
ATX: Montech AIR 903 Base, Lian Li Lancool 216, Lian Li Lancool III
AVOID: 'Silent' cases, fanless cases, 4000D airflow

>PSU
Budget: High end gold rated 500-600W PSU
Mid range: ATX 3.0 compliant gold rated PSU @ 75% max load
High end: Seasonic PRIME TX, be quiet! Dark Power Pro 13, Corsair HX1500i refresh
AVOID: GAMEMAX
PSU buying guides:
https://hwbusters.com/best_picks/best-atx-v3-0-pcie-5-0-ready-psus-picks-2023-hardware-busters/ (updated for 2024)
https://cultists.network/140/psu-tier-list/

>OS
Activate Windows @ >>>/g/fwt

>CASE FANS
Meta: get a case with good stock PWM fans
Budget: Arctic P12 PWM PST 5 pack
High end: Noctua NF-A12x25 PWM
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/aicg/ - AI Chatbot General

No.100087700 View ViewReplyLast 50OriginalReport
/aicg/ - A general dedicated to the discussion and development of AI chatbots

Maid to Skate Edition

>News
Meta AI released Llama 3 8B and 70B https://llama.meta.com/llama3
Claude Opus on Amazon Bedrock https://aws.amazon.com/blogs/aws/anthropics-claude-3-opus-model-on-amazon-bedrock
OpenAI released the gpt-4-turbo as stable
Anthropic released the Claude 3 family https://www.anthropic.com/news/claude-3-family

additional info: https://rentry.org/aicg_extra_information

>Bots
https://chub.ai
https://chub-archive.evulid.cc
https://booru.plus/+pygmalion
https://rentry.org/meta_bot_list
https://rentry.org/charcardrentrylist

>Guides
https://rentry.org/tavern4retards - https://rentry.org/agnai_guides

>Jailbreaks
https://rentry.org/jb-listing

>Frontends
https://sillytavern.app [SillyTavern]
https://agnai.chat [Agnai]
https://risuai.xyz [RisuAI]
https://docs.miku.gg [Miku]
https://character.ai [Cai]

>Models
gpt: https://platform.openai.com/docs
claude: https://docs.anthropic.com
gemini: https://ai.google.dev/docs
local: >>>/g/lmg
https://rentry.org/meta_golocal_list

>Botmaking
https://rentry.org/meta_botmaking_list
https://desune.moe/aichared
https://agnai.chat/editor

>Meta
OP templates: https://rentry.org/aicgOP
services assessment: https://rentry.org/aicg_meta
try these -> https://rentry.org/weirdbutfunjailbreaksandprompts - https://rentry.org/jinxbreaks
old slaude stuff: https://rentry.org/meta_claude_list
logs: https://chatlogs.neocities.org
aicg botmaking events: https://rentry.org/meta_event_list

maid 2 bake: >>100083936
656 posts and 95 images omitted

No.100070184 View ViewReplyLast 50OriginalReport
Everything is already from China, but in here we discuss the cheap chink shit you see on various sites.

Useful links
>New guide (WIP): https://csg-guide.neocities.org/
>installgentoo wiki: https://wiki.installgentoo.com/wiki/Chink_shit_general
>NEW GUIDE (WORK IN PROGRESS, USUALLY TRASH): https://pad.disroot.org/p/ZxYEUYubPTPDhsEkKobh
>Mergeboss links (Click 3, post yours): https://pad.disroot.org/p/%2Fcsg%2F_ali_game

>What headphones/earbuds should I buy?
>>>/g/iemg
>I want a cheap smartphone what should I buy?
>>>/g/spg/
>I want to buy some sort of emulation device
>>>/vr/hhg/

News!
>>100025265 We discuss zoomers and LEDs
>>100026277 Discussion about tooth whiteners and chink quackery
>>100027094 Anon doesn't know about reverse image search
>>100028427 We discuss blue LEDs and sleep
>>100028959 Anon's $8 cancer tablet case arrived, despite delays to the rest of his order, which he later reviews >>100068942
>>100030857 >What ever happened to partial refunds without returning?
>>100038465 Anon asks for controller recommendations
>>100042373 Anon's $6 order arrives
>>100044346 Anon is confused by how the algorithm works
>>100045138 New policy for delayed orders
>>100045309 Anon buys a Chinesium grater
>>100046948 Outdoor anon's order arrives
>>100047641 Anon asks for advice when buying a powerbank
>>100051121 types of "biodegradable" plastics
>>100054614 Anon's sounding device arrived
>>100056592 towel review
>>100056907 Soldering iron recommendations
>>100063413 Anon buys chink waifu RAM
>>100063618 Do chink sound isolation plates actually work?

Previous: >>100025070
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No.100086739 View ViewReplyOriginalReport
*Makes you Invincible*
49 posts and 9 images omitted

No.100090707 View ViewReplyOriginalReport
Webdevs don't care about Chromium inventing their own features ignoring standards and effectively making their websites broken in non-Chromium browsers.

That's how Google maintains Chromium monopoly of the web.
6 posts omitted

No.100085352 View ViewReplyOriginalReport
What do you use LLMs for?
15 posts and 3 images omitted

No.100087754 View ViewReplyOriginalReport
>The largest Swiss online retailer publishes data covering the defect rates and Warranty claim times for all major GPU brands over a period of 24 months.

How come we don't get these stats from amazon?
7 posts omitted

/lmg/ - Local Models General

No.100089724 View ViewReplyLast 50OriginalReport
/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>100085253 & >>100081628

►News
>(04/18) Llama 3 8B, 70B pretrained and instruction-tuned models released: https://llama.meta.com/llama3/
>(04/17) Mixtral-8x22B-Instruct-v0.1 released: https://mistral.ai/news/mixtral-8x22b/
>(04/15) Microsoft AI unreleases WizardLM 2: https://web.archive.org/web/20240415221214/https://wizardlm.github.io/WizardLM2/
>(04/09) Mistral releases Mixtral-8x22B: https://twitter.com/MistralAI/status/1777869263778291896
>(04/09) Llama 3 coming in the next month: https://techcrunch.com/2024/04/09/meta-confirms-that-its-llama-3-open-source-llm-is-coming-in-the-next-month/

►FAQ: https://wikia.schneedc.com
►Glossary: https://archive.today/E013q | https://rentry.org/local_llm_glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/llama-mini-guide
https://rentry.org/8-step-llm-guide
https://rentry.org/llama_v2_sillytavern
https://rentry.org/lmg-spoonfeed-guide
https://rentry.org/rocm-llamacpp

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
General Purpose:
https://hf.co/spaces/HuggingFaceH4/open_llm_leaderboard
https://hf.co/spaces/lmsys/chatbot-arena-leaderboard
Programming: https://hf.co/spaces/bigcode/bigcode-models-leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler visualizer: https://artefact2.github.io/llm-sampling/index.xhtml

►Text Gen. UI, Inference Engines
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/lmg-anon/mikupad
https://github.com/turboderp/exui
https://github.com/ggerganov/llama.cpp
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