{"origin":"yabs.io","url":"https:\/\/yabs.io\/a\/view.php?page=24&r=json&user=mzimmerm","version":"1.0","limit":50,"page":"24","state":null,"r":"json","user":"mzimmerm","user_id":1821,"count":2501,"count_bookmarks":50,"bookmarks":[{"id":"1489883","user":"1821","cdate":"2024-03-10 21:44:09","updated":"2024-03-12 05:17:12","title":"google-research\/bert: TensorFlow code and pre-trained models for BERT","link":"https:\/\/github.com\/google-research\/bert\/","state":"public","note":"BERT model home on github","username":"mzimmerm","tags":"ai,bert,github,home,llm,mini,model,tiny,transformer","count":"9"},{"id":"1489882","user":"1821","cdate":"2024-03-10 21:39:00","updated":"2024-03-11 04:41:53","title":"BERT Transformers \u2013 How Do They Work? | Exxact Blog","link":"https:\/\/www.exxactcorp.com\/blog\/Deep-Learning\/how-do-bert-transformers-work","state":"public","note":"Excellent document about BERT transformers \/ models and their parameters: - L=number of layers. - H=size of the hidden layer = number of vectors for each word in the sentence. - A = Number of self-attention heads - Total parameters.","username":"mzimmerm","tags":"ai,bert,doc,good,llm,parameter,progress,todo,transformer","count":"9"},{"id":"1489880","user":"1821","cdate":"2024-03-10 21:19:21","updated":"2024-03-11 04:58:27","title":"google\/bert_uncased_L-4_H-256_A-4 \u00b7 Hugging Face","link":"https:\/\/huggingface.co\/google\/bert_uncased_L-4_H-256_A-4","state":"public","note":"Repository of all Bert models, including small. Start using this model for testing.","username":"mzimmerm","tags":"ai,bert,huggingface,llm,model,parameter,small,todo","count":"8"},{"id":"1489879","user":"1821","cdate":"2024-03-10 21:14:03","updated":null,"title":"Generative pre-trained transformer - Wikipedia","link":"https:\/\/en.wikipedia.org\/wiki\/Generative_pre-trained_transformer","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,llm,todo","count":"4"},{"id":"1489878","user":"1821","cdate":"2024-03-10 20:27:50","updated":"2024-03-11 19:18:26","title":"AMD Ryzen AI CPUs & Radeon 7000 GPUs Can Run Localized Chatbots Using LLMs Just Like NVIDIA's Chat With RTX","link":"https:\/\/wccftech.com\/amd-ryzen-ai-cpus-radeon-7000-gpus-localized-chatbot-llms-like-nvidia-chat-with-rtx\/","state":"public","note":"LM Studio can be installed on Linux with APU or GPU (looks like it needs the AI CPU though??) and run LLM. Install on Laptop and test if it works.","username":"mzimmerm","tags":"ai,amd,apu,doc,gpu,install,lmstudio,rocm,software,studio,todo","count":"11"},{"id":"1489872","user":"1821","cdate":"2024-03-09 15:27:13","updated":null,"title":"What is Epoch in Machine Learning?| UNext | UNext","link":"https:\/\/u-next.com\/blogs\/machine-learning\/epoch-in-machine-learning\/","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,epoch","count":"3"},{"id":"1489871","user":"1821","cdate":"2024-03-09 15:23:38","updated":"2024-03-11 05:04:31","title":"Training and Validation Loss in Deep Learning | Baeldung on Computer Science","link":"https:\/\/www.baeldung.com\/cs\/training-validation-loss-deep-learning","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,error,evaluate,loss,train,validate","count":"7"},{"id":"1489868","user":"1821","cdate":"2024-03-08 23:39:39","updated":null,"title":"PyPI \u00b7 The Python Package Index","link":"https:\/\/pypi.org\/","state":"public","note":"Index of all python packages. pip looks here first to find a package.","username":"mzimmerm","tags":"package,pypi,python","count":"3"},{"id":"1489867","user":"1821","cdate":"2024-03-08 23:25:30","updated":null,"title":"NumPy: the absolute basics for beginners \u2014 NumPy v1.26 Manual","link":"https:\/\/numpy.org\/doc\/stable\/user\/absolute_beginners.html","state":"public","note":"","username":"mzimmerm","tags":"numpy,package,python","count":"3"},{"id":"1489866","user":"1821","cdate":"2024-03-08 23:22:53","updated":null,"title":"A Step-by-Step Guide to Model Evaluation in Python | by Shreya Singh | Medium","link":"https:\/\/medium.com\/@jscvcds\/a-step-by-step-guide-to-model-evaluation-in-python-3a72dee92560","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,evaluate,model,todo","count":"5"},{"id":"1489864","user":"1821","cdate":"2024-03-08 21:40:18","updated":"2025-03-18 20:06:31","title":"Copilot","link":"https:\/\/copilot.microsoft.com\/","state":"public","note":"","username":"mzimmerm","tags":"aichat,copilot","count":"2"},{"id":"1489855","user":"1821","cdate":"2024-03-08 11:01:18","updated":null,"title":"How to recover from BTRFS errors | Support | SUSE","link":"https:\/\/www.suse.com\/support\/kb\/doc\/?id=000018769","state":"public","note":"","username":"mzimmerm","tags":"btrfs","count":"1"},{"id":"1489852","user":"1821","cdate":"2024-03-07 17:45:24","updated":"2024-03-18 06:07:20","title":"Install PyTorch for ROCm \u2014 Use ROCm on Radeon GPUs","link":"https:\/\/rocm.docs.amd.com\/projects\/radeon\/en\/latest\/docs\/install\/install-pytorch.html","state":"public","note":"Install PyTorch corresponding to rocm versions from Pytorch prebuild by AMD. Also has post-install validation","username":"mzimmerm","tags":"amd,gpu,install,post,pytorch,rocm,validate","count":"7"},{"id":"1489851","user":"1821","cdate":"2024-03-07 17:01:10","updated":null,"title":"Script for testing PyTorch support with AMD GPUs using ROCM","link":"https:\/\/gist.github.com\/damico\/484f7b0a148a0c5f707054cf9c0a0533","state":"public","note":"Test for PyTorch and ROCm after installing ROCm.","username":"mzimmerm","tags":"amd,gpu,pytorch,rocm,test","count":"5"},{"id":"1489850","user":"1821","cdate":"2024-03-07 12:10:13","updated":null,"title":"The mid-range graphics card market heats up as AMD and Nvidia get aggressive | PC Gamer","link":"https:\/\/www.pcgamer.com\/hardware\/graphics-cards\/the-mid-range-graphics-card-market-heats-up-as-amd-and-nvidia-get-aggressive\/","state":"public","note":"Follow falling prices","username":"mzimmerm","tags":"buy,gpu,price","count":"3"},{"id":"1489849","user":"1821","cdate":"2024-03-07 11:26:50","updated":null,"title":"Free Artificial Intelligence (AI) Courses Online with Certificates [2024]","link":"https:\/\/www.mygreatlearning.com\/ai\/free-courses","state":"public","note":"","username":"mzimmerm","tags":"ai,course,free,online","count":"4"},{"id":"1489848","user":"1821","cdate":"2024-03-07 11:22:48","updated":null,"title":"Our free, hands-on data science courses - milan.zimmermann@gmail.com - Gmail","link":"https:\/\/mail.google.com\/mail\/u\/0\/#inbox\/FMfcgzGxRxLVHXWdZFksqSXGwSgFzwhQ","state":"public","note":"","username":"mzimmerm","tags":"ai,course,free,kaggle","count":"4"},{"id":"1489847","user":"1821","cdate":"2024-03-07 11:18:42","updated":null,"title":"SageMaker Studio Lab","link":"https:\/\/studiolab.sagemaker.aws\/users\/mzimmerm","state":"public","note":"My account on SageMaker studio. The give out 4 hours of GPU a day!","username":"mzimmerm","tags":"account,ai,lab,online,sagemarker,studio","count":"6"},{"id":"1489839","user":"1821","cdate":"2024-03-06 20:06:16","updated":null,"title":"Increase VRAM on Ryzen APU \/ Kernel & Hardware \/ Arch Linux Forums","link":"https:\/\/bbs.archlinux.org\/viewtopic.php?id=283308","state":"public","note":"A program that changes VRAM \/ UMA size in BIOS on AMD APU, even if VRAM \/ UMA does not show in BIOS","username":"mzimmerm","tags":"amd,bios,gpu,laptop,memory","count":"5"},{"id":"1489838","user":"1821","cdate":"2024-03-06 19:42:36","updated":null,"title":"bash - How can I fetch VRAM and GPU cache size in Linux? - Stack Overflow","link":"https:\/\/stackoverflow.com\/questions\/77708142\/how-can-i-fetch-vram-and-gpu-cache-size-in-linux","state":"public","note":"If you have AMD GPU as I do then you can grab PCI ID for the device with lspci command executed with -D flag (shows PCI doamin) and read the following file cat \/sys\/bus\/pci\/devices\/${pci_slot}\/mem_info_vram_total, it contains GPU VRAM size in bytes.","username":"mzimmerm","tags":"amd,apu,command,linux,memory","count":"5"},{"id":"1489837","user":"1821","cdate":"2024-03-06 18:06:10","updated":null,"title":"AMD Unveils Ryzen 8000G Series Processors: Zen 4 APUs For Desktop with Ryzen AI","link":"https:\/\/www.anandtech.com\/show\/21208\/amd-unveils-ryzen-8000g-series-processors-zen-4-apus-for-desktop-with-ryzen-ai","state":"public","note":"8000G is the APU series for AI","username":"mzimmerm","tags":"ai,amd,cpu","count":"3"},{"id":"1489834","user":"1821","cdate":"2024-03-05 22:05:16","updated":"2024-03-07 20:41:23","title":"ROCm installation for Linux \u2014 ROCm installation (Linux)","link":"https:\/\/rocm.docs.amd.com\/projects\/install-on-linux\/en\/develop\/index.html","state":"public","note":"Top of the guide describing ROCm on Linux. There are 2 core approaches: Using RPM (Package manager), or using AMD installer. I should use Package manager. Also single-version vs. multi-version. I should use single-version, latest.","username":"mzimmerm","tags":"amd,apu,doc,good,guide,install,rocm","count":"7"},{"id":"1489832","user":"1821","cdate":"2024-03-05 21:53:10","updated":"2024-03-15 02:21:43","title":"AMD Extends Support for PyTorch Machine Learning Development on Select RDNA\u2122 3 GPUs with ROCm\u2122 5.7 | PyTorch","link":"https:\/\/pytorch.org\/blog\/amd-extends-support-for-pt-ml\/","state":"public","note":"The links in \u201cHow to guide\u201c provide instructions that are hopeful. Maybe start with those instructions!","username":"mzimmerm","tags":"amd,apu,install,pytorch,rocm","count":"5"},{"id":"1489831","user":"1821","cdate":"2024-03-05 21:38:23","updated":"2024-03-06 05:38:43","title":"how to install rocm on opensuse\/suse | Civitai","link":"https:\/\/civitai.com\/articles\/2296\/how-to-install-rocm-on-opensusesuse","state":"public","note":"Another rocm installation claim on Opensuse. Interesting note: I realize this is a bit old, but you don't really need amdgpu from the repository: it comes for free with the kernel. amdgpu-dkms is only needed if you're stuck on an older kernel version and you can't upgrade for some reason. For example, Tumbleweed users will not need it..","username":"mzimmerm","tags":"amd,gpu,rocm","count":"3"},{"id":"1489830","user":"1821","cdate":"2024-03-05 21:30:54","updated":"2024-05-02 05:12:17","title":"Installing ROCM in TW and Leap - English \/ Hardware - openSUSE Forums","link":"https:\/\/forums.opensuse.org\/t\/installing-rocm-in-tw-and-leap\/151618\/14","state":"public","note":"This guy seems to claim ROCM can run on Tumbleweed using Distrobox. But what is distrobox?","username":"mzimmerm","tags":"amd,apu,cpu,gpu,install,opensuse,rocm,tumbleweed","count":"8"},{"id":"1489829","user":"1821","cdate":"2024-03-05 21:25:48","updated":"2024-03-17 03:52:03","title":"Doesn't ROCm support AMD's integrated GPU (APU)? \u00b7 Issue #2216 \u00b7 ROCm\/ROCm","link":"https:\/\/github.com\/ROCm\/ROCm\/issues\/2216","state":"public","note":"This guy claims successful installation of ROCm on Ubuntu - this seems to be workable for Tumbleweed as well. See the comment \u201cnav9 commented on Jul 16, 2023\u201c","username":"mzimmerm","tags":"amd,apu,best,gfx902,good,gpu,install,pytorch,rocm","count":"9"},{"id":"1489828","user":"1821","cdate":"2024-03-05 19:25:42","updated":null,"title":"How To Use Virtual Environment inside Jupyter lab","link":"https:\/\/www.linkedin.com\/pulse\/how-use-virtual-environment-inside-jupyter-lab-sina-khoshgoftar","state":"public","note":"Describes how to force Jupyter lab to use a venv for it's kernels!!","username":"mzimmerm","tags":"config,jupiter,python,venv","count":"4"},{"id":"1489826","user":"1821","cdate":"2024-03-05 16:47:27","updated":null,"title":"Kaggle\u2019s New 29GB RAM GPUs: The Power You Need, Absolutely Free! | by Fareed Khan | Medium","link":"https:\/\/medium.com\/@fareedkhandev\/kaggles-new-29gb-ram-gpus-the-power-you-need-absolutely-free-b458c3c501ba","state":"public","note":"Describes the GPU Kaggle is giving 30h a month on.","username":"mzimmerm","tags":"company,cpu,kaggle","count":"3"},{"id":"1489825","user":"1821","cdate":"2024-03-05 16:46:01","updated":"2024-03-06 00:46:15","title":"Solving Transformer by Hand: A Step-by-Step Math Example | by Fareed Khan | Level Up Coding","link":"https:\/\/levelup.gitconnected.com\/understanding-transformers-from-start-to-end-a-step-by-step-math-example-16d4e64e6eb1","state":"public","note":"Doing what a transformer is doing, by hand","username":"mzimmerm","tags":"ai,example,math,principle,todo,transformer","count":"6"},{"id":"1489824","user":"1821","cdate":"2024-03-05 16:41:23","updated":"2024-03-06 00:48:01","title":"Kaggle: Your Home for Data Science","link":"https:\/\/www.kaggle.com\/","state":"public","note":"Kaggle is like huggingface. They can run notebooks, and give GPU power to notebooks","username":"mzimmerm","tags":"ai,company,kaggle,notebook","count":"4"},{"id":"1489823","user":"1821","cdate":"2024-03-05 16:37:34","updated":"2024-04-25 21:06:13","title":"Statistical Foundations of Machine Learning | Kaggle","link":"https:\/\/www.kaggle.com\/code\/alexandrelemercier\/statistical-foundations-of-machine-learning","state":"public","note":"Mini course of statistical foundations of ML","username":"mzimmerm","tags":"ai,course,kaggle,learn,machine,statistics,todo","count":"7"},{"id":"1489822","user":"1821","cdate":"2024-03-05 16:31:58","updated":null,"title":"stabilityai (Stability AI)","link":"https:\/\/huggingface.co\/stabilityai?utm_source=button&utm_medium=email&utm_campaign=welcome_non-commercial","state":"public","note":"My account on Stability AI - it is just a link to huggingface","username":"mzimmerm","tags":"account,ai,company,huggingface,stabilityai","count":"5"},{"id":"1489821","user":"1821","cdate":"2024-03-05 15:50:45","updated":null,"title":"Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4","link":"https:\/\/huggingface.co\/spaces\/HuggingFaceH4\/open_llm_leaderboard","state":"public","note":"Comparison of efficiency of all LLM models on hugging face","username":"mzimmerm","tags":"ai,compare,huggingface,llm,model","count":"5"},{"id":"1489820","user":"1821","cdate":"2024-03-05 13:45:35","updated":"2024-03-05 23:46:47","title":"6 Ways to Run LLMs Locally (also how to use HuggingFace)","link":"https:\/\/semaphoreci.com\/blog\/local-llm","state":"public","note":"Various methods to run LLM models locally hugging face is only one of them.","username":"mzimmerm","tags":"ai,good,huggingface,llm,local","count":"5"},{"id":"1489816","user":"1821","cdate":"2024-03-05 03:03:00","updated":null,"title":"Install packages in a virtual environment using pip and venv - Python Packaging User Guide","link":"https:\/\/packaging.python.org\/en\/latest\/guides\/installing-using-pip-and-virtual-environments\/","state":"public","note":"","username":"mzimmerm","tags":"environment,python,venv,virtual","count":"4"},{"id":"1489813","user":"1821","cdate":"2024-03-04 23:57:07","updated":"2024-03-05 07:57:19","title":"Training Bert on Yelp - Copy of training.ipynb - Colaboratory","link":"https:\/\/colab.research.google.com\/drive\/1FhwrZ05umMvj4cshnEMUOLxjD9ynvCy9#scrollTo=nCFiAJ55LcLt","state":"public","note":"","username":"mzimmerm","tags":"ai,bert,huggingface,model,notebook,progress,yelp","count":"7"},{"id":"1489812","user":"1821","cdate":"2024-03-04 20:49:43","updated":"2024-03-06 07:42:12","title":"(203) Asus adds 3GB vram option for APUs (Ryzen 5 2400G, Ryzen 3 2200G ect) - YouTube","link":"https:\/\/www.youtube.com\/watch?v=0fKXfC35hIA","state":"public","note":"","username":"mzimmerm","tags":"amd,asus,bios,memory,motherboard","count":"5"},{"id":"1489811","user":"1821","cdate":"2024-03-04 20:02:23","updated":null,"title":"(1) Interesting cheap GPU option: Instinct Mi50 : LocalLLaMA","link":"https:\/\/www.reddit.com\/r\/LocalLLaMA\/comments\/1b5ie1t\/interesting_cheap_gpu_option_instinct_mi50\/","state":"public","note":"AMD seems to sell these accelerators, which are like video cards.","username":"mzimmerm","tags":"ai,amd,card,video","count":"4"},{"id":"1489810","user":"1821","cdate":"2024-03-04 19:55:11","updated":"2024-03-21 07:04:02","title":"Ditching CUDA for AMD ROCm for more accessible LLM training and inference. | by Rafael Manzano Masapanta | Medium","link":"https:\/\/medium.com\/@rafaelmanzanom\/ditching-cuda-for-amd-rocm-for-more-accessible-llm-inference-ryzen-apus-edition-92c3649f8f7d","state":"public","note":"Train LLM on AMD APU. In this scenario, we\u2019ll use an APU because most laptops with a Ryzen CPU include an iGPU; specifically, this post should work with iGPUs based on the \u201cGCN 5.0\u201d architecture, or \u201cVega\u201d for friends. We\u2019ll use an AMD Ryzen 2200G in this post, an entry-level processor equipped with 4C\/4T and an integrated GPU.","username":"mzimmerm","tags":"ai,amd,apu,compile,gfx902,install,pytorch,rocm","count":"8"},{"id":"1489809","user":"1821","cdate":"2024-03-04 19:33:02","updated":null,"title":"(203) ASUS PRIME X570-PRO BIOS Overview - YouTube","link":"https:\/\/www.youtube.com\/watch?v=7ZbPjV_OddI","state":"public","note":"","username":"mzimmerm","tags":"asus,bios,motherboard,video","count":"4"},{"id":"1489806","user":"1821","cdate":"2024-03-04 17:40:09","updated":null,"title":"Configuring UMA Frame Buffer Size on Desktop Systems with Integrated Graphics | AMD","link":"https:\/\/www.amd.com\/en\/support\/kb\/faq\/pa-280","state":"public","note":"UMA buffer size is the size of memory used by APU. It is set on the motherboard, often limited to 2GB. But LLM AI could use 16GB or more.","username":"mzimmerm","tags":"apu,card,cpu,memory,motherboard,video","count":"6"},{"id":"1489805","user":"1821","cdate":"2024-03-04 17:18:27","updated":"2024-03-05 01:19:01","title":"ASUS Account","link":"https:\/\/account.asus.com\/overview.aspx","state":"public","note":"My Account for Motherboerd Asus PRIME X570-P, registered here.","username":"mzimmerm","tags":"account,asus,motherboard","count":"3"},{"id":"1489804","user":"1821","cdate":"2024-03-04 16:49:23","updated":"2024-03-05 00:50:09","title":"(1) Most cost effective GPU for local LLMs? : LocalLLaMA","link":"https:\/\/www.reddit.com\/r\/LocalLLaMA\/comments\/12vxxze\/most_cost_effective_gpu_for_local_llms\/","state":"public","note":"GGML quantized models. They would let you leverage CPU and system RAM, instead of having to rely on a GPU\u2019s. This could save you a fortune, especially if go for some used AMD Epyc platforms. This could be more viable for the larger models, especially the 30B\/65B parameters models which would still press or exceed the VRAM on the P40.","username":"mzimmerm","tags":"ai,doc,llm,model,optimize,perform","count":"6"},{"id":"1489803","user":"1821","cdate":"2024-03-04 16:46:21","updated":"2024-03-05 00:49:58","title":"Optimizing LLMs for Speed and Memory","link":"https:\/\/huggingface.co\/docs\/transformers\/v4.35.2\/en\/llm_tutorial_optimization","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,huggingface,llm,model,optimize,perform","count":"7"},{"id":"1489799","user":"1821","cdate":"2024-03-04 11:35:57","updated":null,"title":"7 Steps to Mastering Large Language Models (LLMs) - KDnuggets","link":"https:\/\/www.kdnuggets.com\/7-steps-to-mastering-large-language-models-llms","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,highlevel,llm,train","count":"5"},{"id":"1489798","user":"1821","cdate":"2024-03-04 11:34:25","updated":null,"title":"A Step-by-Step Guide to Training Your Own Large Language Models (LLMs). | by Sanjay Singh | GoPenAI","link":"https:\/\/blog.gopenai.com\/a-step-by-step-guide-to-training-your-own-llm-2d81ff810695","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,highlevel,llm,train","count":"5"},{"id":"1489797","user":"1821","cdate":"2024-03-04 11:32:40","updated":null,"title":"GenAI Stack Exchange","link":"https:\/\/genai.stackexchange.com\/","state":"public","note":"","username":"mzimmerm","tags":"account,ai,doc,forum,stack,stackexchange","count":"6"},{"id":"1489796","user":"1821","cdate":"2024-03-04 11:25:57","updated":null,"title":"7 steps to master large language models (LLMs)\u00a0 | Data Science Dojo","link":"https:\/\/datasciencedojo.com\/blog\/master-large-language-models\/#","state":"public","note":"","username":"mzimmerm","tags":"ai,doc,highlevel,llm,model,train","count":"6"},{"id":"1489795","user":"1821","cdate":"2024-03-04 11:22:14","updated":null,"title":"Home - Replit","link":"https:\/\/replit.com\/~","state":"public","note":"Replit is a site where I can run any REPL online. Can be used for AI","username":"mzimmerm","tags":"account,code,good,online,repl","count":"5"},{"id":"1489794","user":"1821","cdate":"2024-03-04 11:15:48","updated":"2024-03-04 19:36:34","title":"LLM for a new language : MachineLearning","link":"https:\/\/www.reddit.com\/r\/MachineLearning\/comments\/12xu5ls\/p_llm_for_a_new_language\/","state":"public","note":"High level how to train a model","username":"mzimmerm","tags":"ai,highlevel,llm,model,train","count":"5"}],"used_tags":["good","todo","ukraine","ai","health","czech","politics","russia","video","dart","news","language","doc","quantum","flutter","online","account","wine","math","model","usa","my","holky","software","trump","fediverse","history","physics","amd","code","mark","web","emacs","llm","bash","buy","computer","europe","degoogle","coronavirus","mastodon","book","program","twitter","cpu","linux","canada","rocm","people.snyder.timothy","opensuse","best","daily","philosophy","economy","fascism","test","android","invest","german","exercise","newspeak","eshell","apu","alzheimer","autoimmune","gravity","vaccine","war","install","pwa","mechanics","heart","energy","phone","design","javascript","diet","future","security","train","recipy","variety","shell","indoeuropean","huggingface","gpu","command","blog","tutorial","psychology","pytorch","google","human","technology","music","generate","home","dark","protocol","youtube","aichat","cancer","server","matter","pattern","movie","pei","app","dna","wasm","hockey","cosmology","architecture","foss","blood","smalltalk","alternative","custom-rom","jomkus","webassembly","ageing","vitamin","intellij","function","musk","messanger",2025,"mobile","ontario","literature","api","scheme","email","version","eu","gfx902","people.vlad.vexler","riscv","photon","crypto","israel","service-worker","array","statistics","small","download","html","org","bug","http","food","identity","free","pressure","slowroll","foaf","compare","markb","deusa","tumbleweed","lenovo","functional","elisp","list","github","memory","dictionary","library","develop","science","putin","syntax","ui","python","progress","chat","passmark","bluesky","vibe","search","mode","config","owl","integration","constructor","local","image","climate","object","matrix","migrate","browser","finance","camera","async","forum","bert","tool","repo","qed","pregnancy","cholesterol","back","package","lisp","relativity","flight","trade","class","done","bridge","world","layout","experiment","democracy","oil","card","network","speech","bird","genetics","systemd","repl","cache","example","plaque","tomas","wayland","variable","grammar","framework","croquet","reality","motherboard","guide","people.alan.kay","chart","car","internet","regex","virtual","asbestos","match","type","script","specification","edit","manage","trust","map","reactive","electromagnetism","url","voip","webid","dementia","nature","opensource","resume","learn","taste","asciimath","kde","parameter","cell","alpaca","facebook","client","widget","style","project","vlasta","chromebook","culture","weather","nuclear","collagen","astronomy","nobel","release","passkey","dns","cogeco","ddwrt","router","watch","space","translate","chatgpt","retire","nvidia","promise","privacy","canvas","playground","dyndns","domain",2024,"text","course","mistral","price","appstore","voice","f35","oop","bimodcrit","people.jiang.xueqin","grails","italy","expand","english","laptop","anthropology","travel","oakville","china","3d","asus","screenshot","environment","build","structure","extend","mixin","battery","shortcut","backup","ferment","state","gpg","slit","stock","channel","crime","grass","case","gpt","graphics","people.bracha.gilad","debug","squeak","group","people.vera.spinarova","zakelinka","driver","theorem","palestine","hamas","calculate","chrome","emscripten","event","subo","keyboard","light","notebook","company","aigen","kaggle","loss","webcam","vpn","convert","people.mark.biernat","use","society","oneplus","agi","mushroom","audio","tree","rom","custom","docker","emulator","micro","robot","life","origin","neural","data","conference","live","indicate","macd","lcbo","house","print","hydrogen","military","mini","virus","vnc","implement","michal","git","ux","vowel","method","solar","container","desktop","aggression","hack","orient","business","analyze","sdk","augment","fake","chip","sound","aws","wiki","activitypub","contact","source","people.robert.reich","zoom","bell","file","predict","people","co2","curry",2023,"people.ian.hickson","cloud","wasmer","change","family","brain","totality","magnesium","thread","un","fusion","evolve","service","jewish","link","number","semantics","speed","dataset","review","aicode","highlevel","bios","transformer","studio","lmstudio","doctor","definition","admin","theory","spy","game","openvpn","halucinate","os","empire","yamnaya","lukasek","cloud-storage","password","recover","calendar","turmeric",2026,"agent","open","benchmark","ginger","recognize","testtag2","cli","spring","plasma","issue","ide","table","lineageos","root","verb","multi","germany","wikipedia","earth","white","people.siegel.ethan","set","remote","connect","inherit","parallel","unit","split","web3","consonant","pronounce","babel","word","no-tag","font","double","error","graph","realtime","people.chomsky.noam","autism","discord","fit","rotate","tv","water","hungary","closure","duplicity","duply","stackoverflow","stackexchange","gnu","blockchain","disinformation","market","people.mcfaul.michael","protein","character","key","earn","populate","compose","tesla","stack","people.zelensky","sjogren","biology","squeakjs","people.cory.doctorow","continuation","DEB","terror","tmp","mozilla","f5","suborbital","user","feature","drive","system","microphone","peertube","handler","register","lifecycle","conspiracy","tooth","meet","genocide","zaluzhnyi","button","bubble","openchat","article","perform","venv","evaluate","socialmedia","support","ubuntu","database","sale","legal","reactor","thorium","cooler","now","control","people.joe.biden","quantize","manual","host","global","telegram","skate","people.jozef.skvorecky","people.bill.maher","hardware","research","warm","create","atproto","engine","codeberg","people.kyle.kulinski","opencloud","tuta","linksys","result","arthritis","sip","olive","quantum.country","volby","people.richard.murphy","recommend","sleep","poison","fiber","creatine","supplement","vitamin_b","quiet","proof","greenland","people.mark.carney","davos","symbol","unimodular","whisper","latex","hyprland","idnes","testtag1","bookmark","yabs","cook","nebbiolo","piedmont","monitor","multimedia","read","lsp","condo","init.el","parted","partition","track","ssh","people.miller.mark","people.freudenberg.vanessa","obesity","general","mrna","rna","interpreter","hip","shinny","plastic","communist","zeli","planet","dollar","greek","ourworldindata","restaurant","session","alist","rsync","main","context","factory","interface","tradingview","zig","material","electricity","etymology","kubernet","mountain","ibm","concrete","vscode","force","sign","pipe","cheap","capability","algebra","linear","army","java","license","burcak","photo","democracynow","art","treat","bacteria","fire","starch","substack","crackpot","stroke","btrfs","plugin","vm","post","request","cname","shebang","interview","batch","distribute","standard","idempotent","mvc","follow","nano","iterate","bullshit","people.smil.vaclav","native","render","aaple","republic","death","people.hunter.biden","record","hear","color","risk","genealogy","ampleforth","planetarium","spotify","etoys","bond","treasury","bayes","progressive","concurrent","coroutine","people.finkelstein.noam","taurin","alternator","cramp","hand","syndrom","theme","openai","subscribe","drone","poland","authenticate","wat","serverless","people.martin.fowler","rust","starcoder","tinnitus","cgi","uri","dynu","grape","beer","order","visual","slavic","apple","winter","intersect","markdown","drug","write","moon","odysseus","observe","yelp","transform","summary","jupiter","gemini","llama","instruct","stabilityai","deepseek","optimize","machine","principle","validate","religion","tensor","amdgpu","gfx900","gcngpu","fail","debian","transfer","plutonium","uranium","government","k","xylitol","access","web0","gender","noun","people.david.bradley","air-condition","share","narcissist","lean","graviton","disease","flutter_charts","people.jimmy.dore","tenet","hs","sport","screen","bauer","size","natto","vpnbook","people.sasa.mitrofanov","mastodon-to-bluesky","disinfolklore","decentralize","procrastinate","jami","simplex","france","fdroid","webcomponents","california","htmx","people.karel.gott","wifi","doge","freedom","RFK","people.bernie.sanders","people.jon.steward","framasoft","strategy","institution","website","model-context-protocol","xiaomi","fastboot","twrp","investment","bookmarklet","gmx","webdav","cancel","danger","export","unlock","tea","process","self","vote","offline","hotdogb","cure","kidney","1-bit","binary","nhl","appointment","d3","k2","lithium","inulin","creatinine","prabu","towatch","borsc","fascia","oat","attack","arginine","vitamin_d","parkinson","smell","touse","whatsapp","plan","omega3","sauvignon","weight","first","snack","aldi","diagram","excalidraw","epstein","compromat","value","pedofile","craft","jitsi","installed_android","people.konstantin.baum","droidcam","people.vaclav.neckar","futo","anti-inflammatory","spermidin","kona","logical_intelligence","people.eve.bodnia","window","kefir","pipewire","newline","hierarchy","leaf","start","fdisk","election","magisk","sugar","corporation","people.susskind.leonard","alcohol","activity","delete","bastion","hop","jump","erights","ludmila","people.merkel.andrea","crystal","time","awk","podman","people.aaronson.scott","pcr","acid","amino","b12",2021,"beta","average","exponent","spreadsheet","beet","zeman","satire","dictatorship","homeo","pole","shaperank","callory","metabolism","people.milan.kundera","eye","elbow","fracture","tldr","rdb","rfb","plantuml","uml","cons","people.hilbert","problem","convention","xargs","tee",101,"milk","timer","vpri","utopia","boson","fermion","majorana","bs","dev.to","pfizer","antibody","immunity","const","glob","zsh","collection","spread","lisperanto","ipa","letter","cheat","sheet","staroslovenstina","10e","align","format","final","override","interslavic","zsync","responsive","k3s","rancher","troja","goosepilot","quote","climb","country","volume","horse","slav","d","call","methane","cabbage","low","block","fifth","turbulence","gnupg","talk","probiotics","agoric","contract","modularity","ocap","smart","scam","iss","transcript","fund","websocket","chess","slack","thenation","viognier","dawn","least","square","distance","flu","palm","people.henry.kissinger","oceanside","processor","skin","banana","people.john.mearsheimer","apply","covariant","variant","singleton","pan","box","gradle","jquery","put","libreoffice","dore","speak","dired","cron","predicate","second","eval","redirect","hashtag","goblin","spritely","guile","rest","highlight","snippet","bracket","parenthesis","null","abstract","medium","ohakovat","phonetics","logic","mask","people.hertling.mark","2.17","enum","people.motl.lubos","bbc","radio","people.pinker.steven","rectangle","people.penn.shawn","nest","people.soros.george","people.nader.ralph","people.gulanowski.brent","people.matt.taibi","genome","physic","weak","left","leftist","count","entanglement","quora","secret","verify","pbs","people.william.taylor","category","isomorphism","homomorphism","2d","reflect","green","falkon","openui","offensive",29,"conveyor","electron","hydraulic","jvm","equation","magic_leap","charts_flutter","deti","ar","dub","subtitle","streamlit","garden","people.michael.kosinski","allele","gene","antivaxxer","switch","wing","lk99","superconductor","tripillia","slovak","boot","people.frank.shaefer","universe","roadmap","mime","xdg","madoko","markup","people.eric.topol","tumleweed","ryzen","lyme","announce","tick","nuts","fix","json","zypp","idiom","parse","freedesktop","autonomous","latin","alder","olse","ngo","horror","longevity","people.garry.kasparov","faraday","SPG11","go","raynaud","atherosclerosis","david","leisure","long","anthropic","yield","loop","asm.js","sat","people.abraham.maslow","funnel","mesh","hanukkah","bigcode","watsonx","fediverse`","signal","olvid","extension","rdf","w3","glitch","milan.zimmermann","ddclient","gunicorn","ngix","admid","systemctl","scope","fate","then","people.nassim.taleb","people.richard.stallman","poe","ceo","proto","education","knowledge","scandal","people.isaac.newton","dinosaur","muscle","iphone","urn","galaxy","cocoa","macos","shellcheck","posix","pozix","move","commit","rebase","squash","attribute","href","src","rabbit","people.tucker.carlson","grimm","law","find","platform","theregister","people.alexander.unzicker","big","navigate","synonym","thesaurus","openweb","people.tim.bray","international","monica","threadreaderapp","property","qubit","stable","modified","people.john.moffat","basic","generative","train-bert-on-yelp","simple","nlp","alphacode","codex","stablecode","mixtral","wizardcoder","santacoder","compile","lab","sagemarker","copilot","numpy","pypi","epoch","tiny","zoroastrianism","optimum","vega","pyenv","pyvenv","nightly","wheel","phoronix","rusticl","distro","team","canadacomputers","newegg","cloudflare","charity","potus","mass","discuss","perimeter","meta","loan","mortgage","imaginary","real","qcd","people.zeilinger","fact","feeling","2500U","wildlife","chata","down","perovskite","natural","atom","action","webui","maxwell","amniocentesis","afp","NTD","bee-gees","manifesto","perplexity","declense","chemistry","il-11","stream","revenge","fsf","people.sam.altman","people.christopher.alexander","ffi","clot","venezuela","carbon","ritter","cast","elk","right_wing","cult","dd","tag","query","tdp","lite","minimum","people.noah.harari","people.fran.lebowitz","hizballah","electric","mzimmerm","murder","aurora","borealis","outlinevpn","wasi","reason","openstreetmap","portal","upgrade","postmarket","people.sasa.mitrofan","reddit","content","agama","kafka","people.don.cherry","mhmck","bluesky-to-fediverse","wiktionary","decodingtrolls","england","astro","ruble","analogy","child","swiss","people.marc.bloch","america","popular","growth","neuron","morning","russian","windows","imdb","people.jake.broe","statins","niacinamide","people.jaromir.jagr","asterisk","divorce","cost","caffeine","hypermedia","zoo","terminal","ukolebavka","porter","qwant","uix","polio","surveillance","qwq","united_nations","psychopath","codasip","antifascist","nato","ghost","people.malcolm.nance","evil","boycott","aicodegen","orban","people.rachel.maddow","people.alexandria.ocasio-cortez","oppose","analysis","liberal","neo","techcrunch","birth","mcp","jan.ai","streams","people.macer.gifford","people.all","adb","brick","android-root","osmand","miniwebtool","calDAV","toronto","union","repeater","currency","economics","reserve","detrumpify","oatmeal","return","faq","geopolitics","radiology","slice","rebash","straight","spock","ladybird","artificial","lojban","gallery","veo","dopamine","pesticide","bet","people.michael.lewis","hugo","vivaldi","autocracy","freedon","people.anne.applebaum","mailfence","hype","job","7T","xda","dee","eee","egg","htmlx","potassium","people.gunter.kletetscha","flexisip","linphone","ntfy","push","save","incus","did","presence","sovereign","mojo","gai","forer","document","dunaj","Cabernet Frank","id","myid","ipv6","port","fasting","cyst","tfam","higgs","people.sabine.hossenfelder","finland","people.finland.president.alexander.stubb","bit","draft","mock","people.david.pasternak","year","lifelabs","mycarecompass","artery","carotide","diabetes","inflect","futhark","dmc-fz300","panasonic","css","exciton","people.jane.goodall","algorithm","neanderthal","nietzche","truth","people.dr.vasylyevich","well","particle","people. daniel.dennett","journalist","people.christopher.hitchens","entropy","herb","parliament","people.rudolf.hrusinsky","motor","hormone","melatonin","plague","sun","sunset","monkey","prostate","dum","satellite","people.dylan.burns","people.james.challice","commedy","insulin","resistence","antisemitic","vegan","people.steven.wolfram","molasses","squat","kitchen","toxic","obs","decalcify","hearth","digital","people.karel.kryl","chimpanzee","intelligence","rationality","liver","pedo","people.lawrence.odonell","advocacy","multiply","personal","ear","shake","component","spermine","town","crispr","phishing","people.frank.gehry","board","buryat","sardine","people.ales.hemsky","spin","spintronics","shingles","tmg","tramin","aligote","muscadet","red","christmas","ozempic","troy","iihf","junior","nerd","glutathione","lutein","erdos","people.terence.tao","viking","mice","people.john.calhoun","people.vaclav.havel","karban\u00e1tky","people.gavin.newsom","uniline","asciiflow","picture","berberine","sick","olympics","operate","apex","nextcloud","office","handwriting","chromosome","infer","neutrino","india","dissent","iran","people.victor.orban","ligo","assist","unicode","insert","plot","appraise","holocaust","redshift","help","chatr","car-t","opencode","radon","input","people.natalya.vasylyevich","radioligand","therapy","rich","ultralight","impact","nextdns","dialog","opensmalltalk","haskell","monad","koofr","krita","ppi","chromatin","drink","prime-x570-p","people.dr.qin.li.cardiologist","dermatology","dr.lynn.calvert.dermatology","startup","polariton","tile","update","jak-to-funguje","report","current","toolkit","zero-native","people.craig.latta"],"tags":[],"pages":51,"title":"mzimmerm bookmarks:  - page: 25"}