AI Research Posts

AI 101: OpenClaw Explained: How It Works, Architecture & Lightweight Alternatives

OpenClaw is an open-source personal AI agent with a self-hosted Gateway, autonomous heartbeat, and file-based memory. How it works — and 6 lightweight alternatives.

FOD#140: Something Medium is Happening?

and what you need to feel comfortable with AI

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

How to Cut Inference Costs Without Slowing Down Your AI Stack*

Cut AI inference costs by 50–90% with FriendliAI's Orca Engine. 3x higher throughput, OpenAI-compatible API, switch in 3 lines of code. Up to $50K in credits.

AI 101: "On-Policy Distillation Zeitgeist"

Three papers on on-policy self-distillation — OPSD, SDFT, SDPO — replacing sparse rewards with dense token-level feedback. Benchmarks and limitations covered.

FOD#139: Living Inside Kardashev’s Head: What Does It Mean For Us?

We are watching a shift from optimizing architectures to organizing capacity

10 RAG Courses in 2026: Free, Trial, and Paid Options

Ten current RAG courses and learning paths are compared by level, length, access, certificate, and focus — from retrieval basics to evaluation, GraphRAG, multimodal, and agentic RAG.

🎙️ Will Open Models Catch Up? Nathan Lambert on Open vs Closed AI Models

Nathan Lambert of Ai2 and Interconnects explains why open models may remain behind closed frontier AI, where they can compete, and why they matter for US AI strategy.

AI 101: Conditional Memory and the Rise of Selective Intelligence

Engram by DeepSeek gives LLMs conditional memory: models learn when to access knowledge. Covers architecture, U-shaped allocation law, and reasoning gains.

How to Stop Agent Mistakes: Custom Policies for Real-Time AI Governance 🛡️

FOD#138: Why Moltbook Is Blowing Everyone’s Minds, Even Though Agentic Social Networks Aren’t New

Going deeper into the world of AI agents talking (nonsense) to each other

13 Foundational Types of AI Models

What are the types of LLM models? Compare LLM, SLM, RLM, VLM, MLLM, VLA, LAM, MoE, SSM, RNN, CNN, SAM and LNN with examples and key differences.