Archive | Turing Post

AI 101

AI Agents in 2026: Local, Physical, Responsible AI

5 min read

Jun 24, 2026

AI Agents in 2026: Local, Physical, Responsible AI

AI agents in 2026 are becoming durable systems with memory, skills, and physical action. Covers OpenClaw, Hermes, VLA models, Web World Models, Responsible AI.

Alyona Vert.

"Froth on the Daydream"

FOD#157: What People Still Don’t Understand About AI Agents

9 min read

Jun 23, 2026

FOD#157: What People Still Don’t Understand About AI Agents

The BioNeMo Confusion

Ksenia Se

Twitter Library

Agent RL Training Frameworks: 10 Open-source Tools to Know

4 min read

Jun 21, 2026

Agent RL Training Frameworks: 10 Open-source Tools to Know

A practical list of agent RL training frameworks for GRPO, multi-step agents, tool use, long-horizon tasks, rollouts, and multi-agent workflows

Alyona Vert.

AI 101

How Responsible AI Changes In The Agent Era

14 min read

Jun 20, 2026

How Responsible AI Changes In The Agent Era

Responsible AI is becoming infrastructure for AI agents: runtime controls, system accountability, human oversight, and safeguards for tools that act

Ksenia Se

AI 101

What Is JEPA? LeCun Architecture & World Models

14 min read

Jun 18, 2026

What Is JEPA? LeCun Architecture & World Models

JEPA is Yann LeCun's framework for world modeling: predicts abstract representations, not pixels. Covers I-JEPA, V-JEPA, VL-JEPA, LeJEPA, and physical AI.

Alyona Vert., +1

AI 101

12 min read

Jun 17, 2026

AI 101: What is Recursive Self-Improvement?

How AI systems are beginning to automate coding, experiments, evaluation, and research workflows ‒ and why Anthropic, Recursive, and Sakana AI show the first real steps toward AI that improves AI

Alyona Vert.

"Froth on the Daydream"

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

8 min read

Jun 15, 2026

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

Token capital is the AI capability a firm builds and owns. Satya Nadella argues it must compound with human judgment — or companies cede value to dominant AI models.

Ksenia Se

AI 101

17 min read

Jun 13, 2026

AI 101: Hermes Agent 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?

Alyona Vert., +1

Twitter Library

Best Open-Source Vector Databases for LLMs in 2026

7 min read

Jun 13, 2026

Best Open-Source Vector Databases for LLMs in 2026

The best open-source vector databases for RAG and LLM apps in 2026: Milvus, Qdrant, Weaviate, Chroma, Faiss, pgvector, and more, compared by use case.

Alyona Vert., +1

The Org Age of AI

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

13 min read

Jun 13, 2026

#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

Will Schenk, +1

AI 101

13 min read

Jun 10, 2026

AI 101: From Prompt Engineering to Skill Engineering

A clear guide to skill engineering for AI agents with free fresh methods: SkillOpt, SkillOps, and SkillMOO for training, maintaining, and optimizing skills

Alyona Vert.

"Froth on the Daydream"

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

8 min read

Jun 8, 2026

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

Continual learning explains why AI models need a sleep phase — to consolidate experience without catastrophic forgetting. Covers LoRA, Nested Learning, and LLM memory.

Ksenia Se

AI Research Posts

The History of World Models

Embodied AI & Robotics: VLA Models & World Models

Economics

AI Infrastructure: Inference, Chips & RAG Systems

LLM Post-Training: GRPO, DPO, RLHF & Fine-Tuning

AI Concepts & Techniques

Architectures

AI Models: In-Depth Analysis

The Org Age of AI

Open Source AI in 2026

AI Literacy

AI Agents

AI 101

The History of Computer Vision

AI Infra Unicorns: Company Deep Dives

FMOps: Foundation Model Operations for AI Engineers

"Froth on the Daydream"

Community Twist: Guest Posts & Practitioner Insights

The History of LLMs

Interviews with Innovators

Global AI Affairs

Twitter Library

GenAI Unicorns: Company Deep Dives

AI Agents in 2026: Local, Physical, Responsible AI

FOD#157: What People Still Don’t Understand About AI Agents

Agent RL Training Frameworks: 10 Open-source Tools to Know

How Responsible AI Changes In The Agent Era

What Is JEPA? LeCun Architecture & World Models

AI 101: What is Recursive Self-Improvement?

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

AI 101: Hermes Agent vs OpenClaw: Local AI Agents Compared

Best Open-Source Vector Databases for LLMs in 2026

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

AI 101: From Prompt Engineering to Skill Engineering

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