GPT-6 Astra, Looped Transformers, and Hidden Reasoning

A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks

Sep 9 • Sebastian Raschka, PhD

375

63

43

August 2026

How Claude Watermarks AI-Generated Text

A 48-Minute Video Walkthrough of Token Sampling, Watermark Detection, and Removal

Aug 22 • Sebastian Raschka, PhD

161

24

19

Building an AI Text Detector From Scratch

An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR

Aug 15 • Sebastian Raschka, PhD

46

6

5

July 2026

Controlling Reasoning Effort in LLMs

How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes

Jul 18 • Sebastian Raschka, PhD

395

45

32

June 2026

Using Local Coding Agents

Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions

Jun 27 • Sebastian Raschka, PhD

467

50

53

LLM Research Papers: The 2026 List (January to May)

A curated roundup of notable LLM research papers that came out this year

Jun 6 • Sebastian Raschka, PhD

91

3

12

May 2026

Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention

From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs

May 16 • Sebastian Raschka, PhD

348

20

32

April 2026

My Workflow for Understanding LLM Architectures

A Learning-Oriented Workflow for Understanding New Open-Weight Model Releases

Apr 18 • Sebastian Raschka, PhD

82

4

5

Components of A Coding Agent

How Coding Agents Use Tools, Memory, and Repo Context to Make LLMs Work Better in Practice

Apr 4 • Sebastian Raschka, PhD

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64

99

March 2026

A Visual Guide to Attention Variants in Modern LLMs

From MHA and GQA to MLA, Sparse Attention, and Hybrid Architectures

Mar 22 • Sebastian Raschka, PhD

458

16

36

February 2026

A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026

A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026

Feb 25 • Sebastian Raschka, PhD

221

13

20

January 2026

Categories of Inference-Time Scaling for Improved LLM Reasoning

And an Overview of Recent Inference-Scaling Papers (Including Recursive Language Models)

Jan 24 • Sebastian Raschka, PhD

49

3