AI Research Posts

🎙️MCP and the Future of AI: Bridging Context and Capability

Alex Hancock (Block, MCP Steering Committee, Goose) on why MCP exploded in adoption, OAuth 2.1 security, the global registry, and A2A vs MCP.

AI 101: Everything You Need to Know about GPT OSS

What is GPT-OSS? OpenAI's open-weight MoE models explained: architecture, Ollama setup, memory requirements, and benchmarks vs DeepSeek & Qwen3.

FOD#112: Ethan Mollick Asks For Clear Vision About The Future – here is one

Aristocracy of All! Plus: the best curated papers, what to read, world models, and news from the usual suspects

Breakdown: Kimi K2, DeepSeek-R1, Qwen3 (+Coder), and GLM-4.5

Kimi K2, DeepSeek-R1, Qwen3, and GLM-4.5 compared on benchmarks and agentic use cases. Which Chinese open-source model leads in reasoning and coding in 2026?

FOD#111: What Does It Mean to Win in the AI Race?

Musing on the US AI Action Plan and the Economics of Superintelligence

🎙The Truth About RAG

Vectara CEO on why RAG isn't dead, how retrieval beats fine-tuning for security, and what it takes to cut hallucination rates to 1% in production AI.

4 Outstanding Families of Models You Must Know About

Refreshing Smol and Qwen models, Liquid Foundation Models with latest Hyena Edge, and legendary BERT

FOD#110: AI is for Everyone and for a Better Future

"However, it will only be such if we make it so."

Moonshot, ElevenLabs, xAI... Want More of These?

Circling back a few deep dives that we did in 2024 and 2025

Guest post: Why Not All VectorDBs Are Agent-Ready*

7 AI Concepts You Should Know (AI 101 Guide Recap)

Revisiting main concepts that form current AI landscape in 2025

8 Remarkable Research Papers You Should Definitely Read

A list (pt. 2) of the most groundbreaking research papers from the first half of the 2025 that deserve your attention. Take some time to explore or refresh them!