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It’s the end of vibe coding, already | InfoWorld
Bulk Barn - Blackstrap Molasses, Unsulphured
Buy blackstrap molasses
Dead comrades, no ammo and surrounded by Russians - Canadian Forces vet on the war in Ukraine - YouTube
One Year on the Pokrovsk Frontline - YouTube
1 BIT IS ALL WE NEED: Binary Normalized Neural Networks
Molasses Stops Insulin Resistance Almost Immediately (how to use it) - YouTube
All of Proto-Indo-European in less than 12 minutes - YouTube
Learning PEI but also important things about languages: inflection, casing, etc: Start at https://youtu.be/kzP5Lq9fYi8?t=475
6 Foods to Reverse Aging with Lithium ALSO BLOG WITH GOOD INFO HEALTH GENERAL - Dr. John Day, Cardiologist.
legumes, tomatoes, mushrooms, cucumbers, cabbage, cauliflower. Also: carrots, radishes, spinach
[2509.07025] 1 bit is all we need: binary normalized neural networks
One long sentence is all it takes to make LLMs misbehave • The Register
Bring your own brain? Why local LLMs are taking off • The Register
Famous double-slit experiment gets its cleanest test yet – Physics World
Beyond the Cloud: Why I’m Now Running Enterprise AI on My Laptop (Without Internet) | by Klaudi | Aug, 2025 | Medium
Žádost o vydání písemností ke korespondenčnímu hlasování | Generální konzulát České republiky v Torontu
Left to Right Programming
Quantum computing for the very curious
Your Arteries are Diseased - THIS is how you Restore them! - YouTube
The Generative AI Con
The LLMentalist Effect: how chat-based Large Language Models replicate the mechanisms of a psychic's con
Katalog e-knih - Městská knihovna v Praze
Every Reason Why I Hate AI and You Should Too
A Hitchhiker's Guide to the AI Bubble
Any experience with a gfx902 APU -> Ryzen 5850U · Issue #19 · xuhuisheng/rocm-build
(24) 79% Of Olive Oil Is FAKE! How To Test Yours At Home 🚨 - YouTube
The future is NOT Self-Hosted, but Self-Sovereign
Image to Draw.io Converter - Transform Screenshots & Diagrams in 10 Seconds
'Europe must ban American Big Tech and create a European Silicon Valley' | Tilburg University
13 Brain & Nerve Symptoms of Sjögren’s You Should NEVER Ignore (This Could Save Your Life) - YouTube
(33) As a BRAIN Doctor, I’m SHOCKED: THIS Unrecognized Sjogren's Symptom Raises Stroke Risk Overnight - YouTube
(26) The memory-enhancing effects of movement, backed by science | Wendy Suzuki: Full Interview - YouTube
Service Mail - Rates and comparison of offers | Infomaniak
Infomaniak seems to offer exactly what Google does: email, 15GB and office suite! Check it out.
Delta Chat, decentralized secure messenger - Delta Chat
Jan: Open source ChatGPT-alternative that runs 100% offline - Jan
European alternatives for popular services | European Alternatives
(86) QwQ: Tiny Thinking Model That Tops DeepSeek R1 (Open Source) - YouTube
Model which uses reinforcement learning.
John Carlos Baez: “Is fundamental physics really …“ - Mastodon
Ancient genomes provide final word in Indo-European linguistic origins
Self-Command, Self-Doubt, and Complete Every Project by Chris DeLeon - Get Yourself to Do Things
(3389) Azul - YouTube
Investment - I think this guy predicted NOT to buy end of March
Econ Lessons - YouTube
32 physics experiments that changed the world | Live Science
Who needs GitHub Copilot when you can roll your own AI code assistant at home • The Register
Honey, I shrunk the LLM! A beginner's guide to quantization • The Register
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
acai66/Pytorch_ROCm_whl: Pytorch compiled with ROCm.
Install Pytorch on ROCm from AMD git repo. TRY THIS!!!
ROCm 5.xx ever planning to include gfx90c GPUs? · Issue #1743 · ROCm/ROCm
Suggested git-build of pytorch on gfx90c FAILED for me
BERT Transformers – How Do They Work? | Exxact Blog
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.
Introduction - Hugging Face NLP Course
Natural Languge processing - full course.
How to train a new language model from scratch using Transformers and Tokenizers
Describes how to train a new language (desperanto) model.
