Sebastian Raschka, an AI researcher and author, published a tutorial on building an AI text detector from scratch, including dataset construction, model training, local deployment, and reinforcement l…
Sebastian Raschka's book 'Build a Reasoning Model (From Scratch)' is now available on Amazon, but readers in India are advised to order directly from Manning to avoid counterfeit black-and-white copie…
Meta released Muse Glimmer, a 30B open-weight multimodal reasoning model with a Gemma-like architecture, featuring a 131k context window, dense design, hybrid attention with a 3:1 sliding-window-to-gr…
The LLMs-from-scratch repository by Sebastian Raschka surpassed 100,000 stars on GitHub, marking a milestone for the open-source project that provides from-scratch implementations of large language mo…
Kimi K3, a 2.8-trillion-parameter open-weight model from Moonshot AI, is the largest open-weight model to date, scaling up their earlier Kimi Linear architecture from 48B parameters. The architecture …
Open-weight model releases this week include Nanbeige 4.2 3B with looped depth sharing, poolside's Laguna S 2.1 (118B sparse MoE, 8B active, 1M-token context), Motif-3-Beta (314B-A13B sparse MoE with …
Sebastian Raschka issued a correction for Listing 6.5 in his book 'Build a Reasoning Model From Scratch', changing the line 'torch.manual_seed(0)' to 'torch.manual_seed(5)' on page 198. The change is …
A new book, 'Build a Reasoning Model (From Scratch)' (ISBN-13 9781633434677), teaches readers how to add reasoning capabilities to a pre-trained large language model through hands-on code examples, co…
OpenAI released the GPT-5.6 model family last week, which comes in three sizes each with roughly five or six reasoning-effort settings, according to Sebastian Raschka. The article explains how reasoni…
Thinking Machines Lab released Inkling, an open-weight 975B-parameter sparse Mixture-of-Experts model with 41B active parameters and a 1M-token context window, which outperforms GLM-5.2 on IFBench (79…
OpenAI's GPT 5.6 release offers 72 possible configurations across model size, reasoning effort, task mode, and speed settings, leaving users to determine optimal defaults. The combinations span three …
Sebastian Raschka announced the release of his new book "Build a Reasoning Model (From Scratch)", a 440-page full-color guide that teaches readers how to implement modern reasoning techniques on a Qwe…
A new tutorial demonstrates how to set up a fully local coding agent using open-weight LLMs and open-source harnesses as an alternative to subscription-based services like Claude Code and Codex. The l…
Local open-weight large language models (LLMs) with 30 billion parameters and a mixture-of-experts architecture achieve roughly 40 tokens per second on a Mac or DGX Spark, matching GPT 5.5 Pro subscri…
Z.ai released GLM-5.2, an open-weight model that the author calls the best open-weight model available. The model introduces IndexShare, a cross-layer reuse trick for DeepSeek Sparse Attention that re…
WeiboAI released VibeThinker-3B, a 3.09B-parameter coding and reasoning model built on Qwen2.5-Coder-3B that achieves performance close to much larger systems through extensive post-training, includin…
Researchers Sebastian Raschka released a curated list of LLM research papers from January to May 2026, focusing on reasoning models, reinforcement learning, and efficient inference. The list, organize…
Google's Gemma 4, DeepSeek V4, and other new open-weight large language models incorporate architecture changes like KV sharing, compressed convolutional attention, and layer-wise attention budgeting …