AI 101
+2
13 min read
Jun 4, 2026
What is Cosmos World Foundation Model Platform?
NVIDIA Cosmos is a platform of world foundation models for Physical AI: video curation, tokenizer, diffusion and autoregressive WFMs, and guardrails explained. Plus sensational 2026 update – Cosmos 3 omnimodel world model
Concepts
+2
10 min read
May 21, 2026
AI 101: From Tokens to Answers: What Actually Happens During LLM Inference
How LLM inference works end-to-end: tokenization, embeddings, prefill, decode, KV cache, batching, retrieval, and modern inference orchestration.
Concepts
+1
10 min read
May 13, 2026
AI 101: Your Ultimate Guide to Attention: Mechanism, QKV, and KV Cache
Learn how attention in AI works, from queries, keys, and values to KV cache, self-attention, and modern approaches
AI 101
+1
16 min read
May 11, 2026
AI 101: Hermes vs OpenClaw: Local AI Agents Compared
Hermes Agent vs OpenClaw compared: memory architecture, self-improving skills, scheduling, and safety. Which local AI agent fits your workflow?
AI 101
+1
8 min read
May 11, 2026
xLSTM Explained: Extended LSTM vs Transformers
xLSTM revives recurrent networks with exponential gating & matrix memory. Compare xLSTM vs Transformers & classic LSTM – and when to use each.
Concepts
+1
2 min read
May 10, 2026
Concepts: Types of Deep Learning
9 types of deep learning explained: CNNs, RNNs, transformers, GANs, diffusion models & more. Visual flashcards for ML practitioners. Turing Post AI 101.
AI 101
+3
11 min read
May 6, 2026
AI 101: Agentic Vector Databases – What Is That?
How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.
Concepts
+1
11 min read
Apr 29, 2026
AI 101: What’s So Magical About Embeddings?
How tokens become learnable coordinates, and geometry shapes how context connects and meaning comes to life
Concepts
+4
13 min read
Apr 22, 2026
AI 101: How Token Taxonomy Affects Your Bill
From reasoning tokens to vision patches – your guide to the species that now shape AI cost, speed, and capability
Concepts
+1
12 min read
Apr 15, 2026
AI 101: What Is a Token (and why it runs AI)?
What is a token in AI? Learn how tokenization works, why context windows matter, and how tokens became the core unit of LLM performance and API pricing.
AI 101
+2
13 min read
Apr 8, 2026
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
AI 101
+1
10 min read
Mar 25, 2026
AI 101: Transformers Depth Is an Addressable Dimension
Deep transformers used to accumulate layer history. Now they are starting to retrieve from it.
AI 101
+3
12 min read
Mar 18, 2026
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
AI 101
+1
14 min read
Mar 11, 2026
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
Concepts
+3
11 min read
Mar 4, 2026
AI 101: From Vibe Coding to Spec-Driven Development
Why vibe coding breaks at scale — and how spec-driven development (SDD) fixes it. Covers Kiro by AWS, GitHub Spec Kit, Tessl, and when to use each approach.
Concepts
+2
14 min read
Feb 25, 2026
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
AI 101
+1
14 min read
Feb 18, 2026
AI 101: OpenClaw Explained + lightweight alternatives
OpenClaw personal AI agent explained: Gateway architecture, SOUL.md, HEARTBEAT.md & 6 lightweight alternatives for constrained hardware and simpler setups.
AI 101
+1
13 min read
Feb 11, 2026
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
AI 101
+1
10 min read
Feb 4, 2026
AI 101: Conditional Memory and the Rise of Selective Intelligence
let's explore this new memory paradigm and why it's important as architectural principle
Concepts
+1
11 min read
Jan 29, 2026
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.
AI 101
+2
15 min read
Jan 21, 2026
VLA Models Explained: Architecture, Types & the Leap to VLA+
What are VLA models? Learn Vision-Language-Action architecture, key systems (π0, Helix, SmolVLA) & the leap to VLA+. Deep dive.
Concepts
+3
8 min read
Jan 14, 2026
What are Web World Models?
Princeton’s new recipe for building better world models to support AI agents
AI 101
+1
9 min read
Jan 8, 2026
DeepSeek mHC: Breaking the Architectural Limits of Deep Learning
DeepSeek's mHC (Manifold-Constrained Hyper-Connections) fixes hyper-connection instability with geometric constraints. How it works and why it matters for scaling LLMs.
