AI 101: What Is a Token (and why it runs AI)?

From the technical side to economics – your guide to understanding the foundations of AI

10 Open Projects for AI Security

AI 101: Gemma 4 and Why Many OpenClaw Users are Now Switching to it

How much intelligence can you extract from the hardware you already have? Gemma 4 has the answer

9 Open Agents That Improve Themselves

Inspired by Hermes Agent

AI 101: Hermes Agent – OpenClaw’s Rival? Differences and Best Use Cases

A breakdown of the new self-improving local agent – and why it’s now a main competitor to OpenClaw

14 JEPA Milestones as a Map of AI Progress

AI 101: Transformers Depth Is an Addressable Dimension

Deep transformers used to accumulate layer history. Now they are starting to retrieve from it.

13 Modern Reinforcement Learning Approaches for LLM Post-Training

So many RLs... Here are some approaches that you should know about

AI 101: Nemotron 3 and the Surprising Coalition Building New AI in the Open

How NVIDIA amplifies the open model space with an outstanding lineup of partners: Black Forest Labs, Cursor, LangChain, Mistral AI, Perplexity, Reflection AI, Sarvam and Thinking Machines

7 Emerging Memory Architectures for AI Agents

AI 101: Beyond RL: The New Fine-Tuning Stack for LLMs

Discussing the rise of generated adapters, like Text-to-LoRA, Doc-to-LoRA and others, Evolution Strategies (ES) optimization and the future of dynamic fine-tuning

9 Core AI Software Development Paradigms

plus some tools and resources to check out

AI 101: From Vibe Coding to Spec-Driven Development

How to combat the AI slop in coding and build software that actually follows a plan and your goals + Spec-Driven Development tools

9 Amazing Robotics News You Should Know About

AI 101: The Inference Chip Wars – MatX, Taalas, and the Cracks in the GPU Era

From NVIDIA Vera Rubin to model-as-hardware, and why “inference chips” are no longer one category

20 Awesome Github Repos to Build OpenClaw-Style Agents

Here is the stack for your building practice

AI 101: OpenClaw Explained + lightweight alternatives

Everything you need to know about OpenClaw: the tech stack, lightweight alternatives, and why it changed the agentic discourse

10 Must-read books and surveys about AI and Machine Learning

Deep Learning, context engineering, LLMs, multimodal models and agents – all the basics together for your convenience

AI 101: "On-Policy Distillation Zeitgeist"

Can a model teach itself well in 2026? Checking out some banger papers on self-distillation that demonstrate a new phase

13 Foundational Types of AI Models

AI 101: What is Hybrid AI?

It’s not about architectural hybrids, it’s about where to run a model. The big promise in connecting devices and clouds for the nearest future of AI.

7 Sources to Master Agents and Agentic Reasoning

AI 101: An Insightful Guide to VLA/VLA+ models

How Microsoft's Rho-alpha, Google's Gemini Robotics, and six other breakthroughs built the bridge from VLA to VLA+ – the complete snapshot of where we are today

9 Notable Advancements in Robotics that We Can't Miss

AI 101: What are Web World Models?

Princeton’s new recipe for building better world models to support AI agents