Ksenia Se

FOD#156: What is the harder human-capital problem beneath token capital?

Why senior talent may become both the greatest asset and the heaviest anchor in corporate AI – inspired by Satya Nadella

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?

#6: The Flywheel: What Happens When Workflows Run Themselves

AI flywheels are closed-loop workflows that generate, measure, and decide what to try next. Here’s why verification must come before autonomy

FOD#155: Continual Learning in LLMs: Why AI Models Need Sleep

CL is back at the center of AI research, now under a different set of pressures

🎙️GitHub’s Mario Rodriguez on AI Coding Agents, Copilot, and the Future of Developers

GitHub's CPO explains how AI coding agents changed in late 2025, what macro-delegation means, and why Copilot isn't pilot.

FOD#154: Enterprise AI Middlemen: Who Survives the Agent Era?

Reporting from Snowflake Summit and Microsoft Build

20 Advanced RAG Types to Know in 2026

20 cutting-edge RAG approaches in 2026: Agentic RAG, MiA-RAG, HGMem, Graph-O1, Bidirectional RAG, multimodal, multilingual, structured and security RAG systems.

FOD#153: Agentic coding in search – What it even means?

Google didn't update Search. It replaced it. Here's what agentic coding at search scale actually means — and why it matters.

13 Open-Source Tools for Foundation Model Deployment

A practical guide to open-source tools for deploying, serving, and running foundation models, from local LLMs to high-throughput production inference.

The Story of AI Winters and What it Teaches Us Today (History of LLMs. Bonus)

In the long run, AI was possible and promising, but its wave had yet to rise

CoreWeave: The Underdog Powering Generative AI's Explosion

How their niche focus, tech stack, and partnerships disrupt the market

10 Best AI Ethics Books to Read in 2026

Top AI ethics books by Kate Crawford, Mark Coeckelbergh & Margaret Boden. Covers AI philosophy, data colonialism, design justice & algorithmic power.

FOD#152: AI Agent Skills: Why Skill Curation Is the Next Bottleneck

Agents improvise. Skills remember. Why curated procedural knowledge — not smarter models — is the real competitive edge in AI

xLSTM Explained: Extended LSTM vs Transformers

xLSTM extends classic LSTM with exponential gating and matrix memory. Learn how it compares to Transformers, what sLSTM and mLSTM are, and when to use it.

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.

#5: AI Workflow Patterns: The Real Unit of AI Adoption in 2026

FOD#151: Recursive Self-Learning: Why It Matters Now

From Turing's "child machine" to Jack Clark's 2028 forecast – what changes when the system starts working on the system that builds it

🎙️Hugging Face’s Clem Delangue: Stop Comparing Engines to Cars

Why open models, local AI, and coding agents are changing who gets to build.

FOD#68: AI Benchmarks vs Vibe Checks: Measuring AI Progress

FOD#150: Ghosts in the Distillation Pipeline

A new Nature paper just broke the foundational assumption of every AI compliance framework being drafted – plus key news, research, and reads from the past week

#4:There are no AI-native enterprises

Why the enterprise AI problem is not a technology problem. In the series: The Org Age of AI

AI 101: How Token Taxonomy Affects Your Bill

Input, output, reasoning, cached, vision — not all LLM tokens cost the same. A guide to token types and how each one shapes your AI bill.

FOD#149: Why Palantir’s Manifesto Went Viral Without Saying Anything New

What it means for the AI industry – plus key news, research, and reads from the past week

🎙️"Intention is what we need": Neeru Khosla on the Future of Education and Learning with AI

Neeru Khosla, co-founder of CK-12 Foundation, on AI in education, personalized learning, Flexi AI tutor, and why intention matters more than attention.

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

A token is the unit an AI model reads and predicts. Learn how tokenization works (BPE, WordPiece), why context windows matter, and how tokens set API cost.