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1 BIT IS ALL WE NEED: Binary Normalized Neural Networks
[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
Beyond the Cloud: Why I’m Now Running Enterprise AI on My Laptop (Without Internet) | by Klaudi | Aug, 2025 | Medium
[https://medium.com/@klaudibregu/beyond-the-cloud-why-im-now-running-enterprise-ai-on-my-laptop-without-internet-16929a585328] - - public:mzimmerm
The AI age is the “age of no consent“
The AI age is the “age of no consent“
The Generative AI Con
The LLMentalist Effect: how chat-based Large Language Models replicate the mechanisms of a psychic's con
Every Reason Why I Hate AI and You Should Too
A Hitchhiker's Guide to the AI Bubble
Entering AI Autumn: Why LLMs Are Nearing Their Limit - The New Stack
Deep Learning, Deep Scandal - by Gary Marcus - Marcus on AI
(5) THIS is why large language models can understand the world - YouTube
NotebookLM can now generate Mind Maps, and studying will never be the same
Jan: Open source ChatGPT-alternative that runs 100% offline - Jan
Introducing the Model Context Protocol \ Anthropic
AI Is Not Unavoidable. Not This AI, That's for Sure - FOSS Force
[https://fossforce.com/2025/03/ai-is-not-unavoidable-not-this-ai-thats-for-sure/] - - public:mzimmerm
Anthropic CEO: “90% of Code Will be Written by AI in 6 months“ - YouTube
(86) QwQ: Tiny Thinking Model That Tops DeepSeek R1 (Open Source) - YouTube
[https://www.youtube.com/watch?v=W5GmuOaUj3w] - - public:mzimmerm
Model which uses reinforcement learning.
Will the future of software development run on vibes? - Ars Technica
[https://arstechnica.com/ai/2025/03/is-vibe-coding-with-ai-gnarly-or-reckless-maybe-some-of-both/] - - public:mzimmerm
Generative AI is not going to build your engineering team for you - Stack Overflow
[https://stackoverflow.blog/2024/12/31/generative-ai-is-not-going-to-build-your-engineering-team-for-you/?cb=1] - - public:mzimmerm
Apple study exposes deep cracks in LLMs’ “reasoning” capabilities - Ars Technica
[https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/] - - public:mzimmerm
Mit wenigen Klicks zum eigenen KI-Chatbot: Warum ihr dieses Tool kennen solltet
[https://t3n.de/news/lokaler-ki-chatbot-lm-studio-1642969/] - - public:mzimmerm
Train and use my model
Who needs GitHub Copilot when you can roll your own AI code assistant at home • The Register
OpenAI’s GPT-4o Mini isn’t much better than rival LLMs • The Register
AI models face collapse if they overdose on their own output • The Register
Honey, I shrunk the LLM! A beginner's guide to quantization • The Register
10 profound answers about the math behind AI - Big Think
[https://bigthink.com/starts-with-a-bang/10-answers-math-artificial-intelligence/] - - public:mzimmerm
Linux 6.10 Improves AMD ROCm Compute Support For “Small“ Ryzen APUs - Phoronix Forums
[https://www.phoronix.com/forums/forum/linux-graphics-x-org-drivers/open-source-amd-linux/1466910-linux-6-10-improves-amd-rocm-compute-support-for-small-ryzen-apus] - - public:mzimmerm
Install this version. Find when in tumbleweed
210,000 CODERS lost jobs as NVIDIA released NEW coding language. - YouTube
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
BERT Transformers – How Do They Work? | Exxact Blog
[https://www.exxactcorp.com/blog/Deep-Learning/how-do-bert-transformers-work] - - public:mzimmerm
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.
google/bert_uncased_L-4_H-256_A-4 · Hugging Face
[https://huggingface.co/google/bert_uncased_L-4_H-256_A-4] - - public:mzimmerm
Repository of all Bert models, including small. Start using this model for testing.
Generative pre-trained transformer - Wikipedia
AMD Ryzen AI CPUs & Radeon 7000 GPUs Can Run Localized Chatbots Using LLMs Just Like NVIDIA's Chat With RTX
[https://wccftech.com/amd-ryzen-ai-cpus-radeon-7000-gpus-localized-chatbot-llms-like-nvidia-chat-with-rtx/] - - public:mzimmerm
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.
A Step-by-Step Guide to Model Evaluation in Python | by Shreya Singh | Medium
[https://medium.com/@jscvcds/a-step-by-step-guide-to-model-evaluation-in-python-3a72dee92560] - - public:mzimmerm
Solving Transformer by Hand: A Step-by-Step Math Example | by Fareed Khan | Level Up Coding
[https://levelup.gitconnected.com/understanding-transformers-from-start-to-end-a-step-by-step-math-example-16d4e64e6eb1] - - public:mzimmerm
Doing what a transformer is doing, by hand
Statistical Foundations of Machine Learning | Kaggle
[https://www.kaggle.com/code/alexandrelemercier/statistical-foundations-of-machine-learning] - - public:mzimmerm
Mini course of statistical foundations of ML
Introduction - Hugging Face NLP Course
[https://huggingface.co/learn/nlp-course/chapter1/1] - - public:mzimmerm
Natural Languge processing - full course.
Simple Machine Learning Model in Python in 5 lines of code | by Raman Sah | Towards Data Science
[https://towardsdatascience.com/simple-machine-learning-model-in-python-in-5-lines-of-code-fe03d72e78c6] - - public:mzimmerm
How to train a new language model from scratch using Transformers and Tokenizers
[https://huggingface.co/blog/how-to-train] - - public:mzimmerm
Describes how to train a new language (desperanto) model.
5 Sites to Access or Use ChatGPT 4 (GPT 4) For Free - Dignited
[https://www.dignited.com/108801/5-sites-to-access-or-use-chatgpt-4-gpt-4-for-free/] - - public:mzimmerm
(193) Jeff Su - YouTube
(193) Google’s AI Course for Beginners (in 10 minutes)! - YouTube
(193) Google has the best AI now, but there's a problem... - YouTube
Mistral Large STUNS OpenAI - Amazing AND Uncensored!? - YouTube
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ongoing by Tim Bray · Money Bubble
OpenAI sägt Hälfte der KI-Startups ab – und dann fast sich selbst | heise online
[https://www.heise.de/meinung/OpenAI-saegt-Haelfte-der-KI-Startups-ab-und-dann-fast-sich-selbst-9539168.html] - - public:mzimmerm