how is this constitutionally legal? talking about the TX porn restriction bill not xhamster just refusing to do business.

>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.
Building guide: https://wiki.installgentoo.com/index.php/Build_a_PC

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

>CPU
Web browsing: i3 12100/5600G
Budget: 12400F/5600
Gaming: 13600KF/7600
High end gaming: 14700K/7800X3D
Workstation: 14700K/7900X
AM4 upgrade: 5600/5800X3D

>COOLER
AIO: Thermalright Frozen Edge/Arctic Liquid Freezer III
Double towers: TR Phantom Spirit 120 SE/EVO/Peerless Assassin SE, Scythe Mugen 6
Single towers: TR Assassin Spirit EVO
ITX/>42mm RAM: Scythe Fuma 3/TR AXP120-X67
AVOID: Dark Rock Pro 4/5/NH-U12A/D15(S)

>MOTHERBOARD
ASRock B650 LiveMixer

>RAM
DDR4: 2x16GB 3200CL16. Budget, 2x8GB
DDR5: 2x16GB 6400CL32
Workstation/high end: consider 2x32GB

>SSD (OS drive)
Budget: Cheapest PCIE4
Mid range: Samsung 990 Pro
High end: Sabrent Rocket 5

>GPU
1080p: RTX 4070 Super, RX 7700 XT, RX 6650 XT
1440p: RTX 4070 Ti Super, RX 7900 GRE
2160p: RTX 4090, RTX 4080 Super
Workstation: RTX 4000 Series, AVOID: AMD cards

>CASE (from $ to $$$)
mATX: Montech Air 100, Fractal Pop Mini Air, Lian Li O11 Air Mini
ATX: Phanteks XT PRO(ULTRA), Vetroo AL600, Montech AIR 903 Base/MAX, Lian Li Lancool 216/III
AVOID: 'Silent' cases, fanless cases, 4000D airflow

>PSU
Budget: Gold rated 500-600W PSU
Mid range: ATX 3.0 compliant fully modular gold rated PSU @ 75% max load
High end: Seasonic PRIME TX
AVOID: GAMEMAX
PSU buying guide:
https://hwbusters.com/best_picks/best-atx-v3-0-pcie-5-0-ready-psus-picks-2023-hardware-busters/ (updated for 2024)

>MONITOR
Standout:
1080p: Asus VG249Q1A
1440p: Dell G2724D
2160p: Gigabyte M27/28/32U
https://pcpartpicker.com/list/YmTPkJ

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

>CASE FANS
Meta: Case with good stock PWM fans
Budget: Arctic P12/P14 Max (5-pack)
High end: Noctua NF-A12x25 PWM

Previous:
>>100253802

Windows 95 is the most visually ergonomic operating system of all time.

Previous /sdg/ thread : >>100260025

>Beginner UI local install
Fooocus: https://github.com/lllyasviel/fooocus
EasyDiffusion: https://easydiffusion.github.io

>Local install
Automatic1111: https://github.com/automatic1111/stable-diffusion-webui
ComfyUI (Node-based): https://rentry.org/comfyui
AMD GPU: https://rentry.org/sdg-link#amd-gpu
Intel GPU: https://rentry.org/sdg-link#intel-gpu

>Use a VAE if your images look washed out
https://rentry.org/sdvae

>Auto1111 forks
Forge: https://github.com/lllyasviel/stable-diffusion-webui-forge
Anapnoe UX: https://github.com/anapnoe/stable-diffusion-webui-ux
Vladmandic: https://github.com/vladmandic/automatic

>Run cloud hosted instance
https://rentry.org/sdg-link#run-cloud-hosted-instance

>Try online without registration
txt2img: https://www.mage.space
img2img: https://huggingface.co/spaces/huggingface/diffuse-the-rest
Inpainting: https://huggingface.co/spaces/fffiloni/stable-diffusion-inpainting
pixart: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma

>Models, LoRAs & embeddings
https://civitai.com
https://huggingface.co
https://rentry.org/embeddings

>Animation
https://rentry.org/AnimAnon
https://rentry.org/AnimAnon-AnimDiff
https://rentry.org/AnimAnon-Deforum

>SDXL info & download
https://rentry.org/sdg-link#sdxl

>Index of guides and other tools
https://codeberg.org/tekakutli/neuralnomicon
https://rentry.org/sdg-link
https://rentry.org/rentrysd

>View and submit GPU performance data
https://docs.getgrist.com/3mjouqRSdkBY/sdperformance
https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html

>Share image prompt info
4chan removes prompt info from images, share them with the following guide/site...
https://rentry.org/hdgcb
https://catbox.moe

>Related boards
>>>/h/hdg
>>>/e/edg
>>>/d/ddg
>>>/b/degen
>>>/vt/vtai
>>>/aco/sdg
>>>/trash/sdg

Official: discord.gg/stablediffusion

Industry is over again edition

>Interviewing
Tips and interview practice: https://blog.interviewing.io/

>Resume Stuff
https://www.careercup.com/resume

>Salary Stuff
"What's your expected salary?": https://www.fearlesssalarynegotiation.com/salary-expectations-interview-question/
Negotiation advice: https://www.freecodecamp.org/news/how-not-to-bomb-your-offer-negotiation-c46bb9bc7dea/
Salary data: https://levels.fyi/

Always disclose your current salary to recruiters or you'll go to jail and be raped (not in the good way)

>Layoffs
https://layoffs.fyi/

>Helpful YouTube Channels
https://www.youtube.com/@ContinuousDelivery
https://www.youtube.com/@EngineeringwithUtsav
https://www.youtube.com/@tciproductions
https://www.youtube.com/@ZackFreedman
https://www.youtube.com/@ByteByteGo (systems design at a high level)
https://www.youtube.com/@ycombinator (if you're doing a startup)
https://www.youtube.com/@hnasr (for studying backed architecture)

Previous thread: >>100247014

Can you give me tips on writing this better? This code works fine, but I know it's not "Pythonic" and anybody with coding knowledge would laugh at it. You're supposed to enter a list of integers and return the integer that is missing from the algorithmic equation. So [1, 2, 4, 5] would equal 3 and [2, 4, 8] would equal 6. I'm just learning for fun, this isn't homework or something.

Dogfight edition

Previous thread >>100241242

>What is DALL-E 3?
You type some text and it makes some images

>Links
https://www.bing.com/images/create
https://designer.microsoft.com/image-creator
https://copilot.microsoft.com/

Bing AI Slop 0.6.0
https://pastebin.com/raw/LTrjKzeG

Designer AI Slop 0.4.6
https://pastebin.com/raw/3yLvAGmg

>How does it work on Bing?
In Bing's Image Creator, "boosts" are used to speed up the image creation process, each user starts with 15 boosts. When you use a boost, the AI creates your image quickly. If you run out of boosts, the image waiting time increases, ranging from seconds to minutes.

>Resetting Boosts
Try clearing your search history at https://www.bing.com/profile/history

>(NEW) Landscape and Portrait regeneration
Follow the instructions here: rentry /bicedit

>Prompt Generator
https://tipseason.com/dalle-prompt-generator

>Related Boards
>>>/v/dall-e
>>>/co/dall-e
>>>/trash/aibf
>>>/aco/dall
>>>/tg/slop

Literally the best DE

>KDE plasma
Krashes
>cinnamon
Boring
>MATE
Abandonware
>GNOME
Lmao

And the rest don't matter, not even worth mentioning.

/aicg/ - A general dedicated to the discussion and development of AI chatbots

cute focks thread

>News
AWS bedrock now has custom models on demand
https://aws.amazon.com/blogs/aws/import-custom-models-in-amazon-bedrock-preview/
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

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

>Bots
https://chub.ai
https://chub-archive.evulid.cc
https://rentry.org/meta_bot_list

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

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

>Guides
https://rentry.org/tavern4retards

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

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

>Meta
OP templates: https://rentry.org/aicgOP
services assessment: https://rentry.org/aicg_meta
fun JBs and prompts: https://rentry.org/weirdbutfunjailbreaksandprompts - https://rentry.org/jinxbreaks
sultra: https://github.com/kingbased/gemini
logs: https://chatlogs.neocities.org
aicg botmaking events: https://rentry.org/meta_event_list

last bread: >>100265710

/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>100259707 & >>100251153

►News
>(04/24) Snowflake Arctic Instruct 128x3B MoE released: https://hf.co/Snowflake/snowflake-arctic-instruct
>(04/23) Phi-3 Mini model released: https://hf.co/microsoft/Phi-3-mini-128k-instruct-onnx
>(04/21) Llama3 70B pruned to 42B parameters: https://hf.co/chargoddard/llama3-42b-v0
>(04/18) Llama3 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/

►News Archive: https://rentry.org/lmg-news-archive
►FAQ: https://wikia.schneedc.com
►Glossary: https://rentry.org/lmg-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
Chatbot Arena: https://chat.lmsys.org/?leaderboard
Programming: https://hf.co/spaces/bigcode/bigcode-models-leaderboard
Censorship: https://hf.co/spaces/DontPlanToEnd/UGI-Leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.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