Archive | Turing Post

AI Concepts & Techniques

AI 101: From Vibe Coding to Spec-Driven Development

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.

Alyona Vert., +1

"Froth on the Daydream"

FOD#142: What is Agentic RL and why it matters

14 min read

Mar 2, 2026

FOD#142: What is Agentic RL and why it matters

and why Anthropic is not a hero

Ksenia Se

Interviews with Innovators

🎙️"We Are the Only Ones Who Would Build It"

15 min read

Feb 28, 2026

🎙️"We Are the Only Ones Who Would Build It"

Ioannis Antonoglou left DeepMind to build Reflection AI's frontier open-weight models. On RL post-training, AGI, and why open science beats closed labs.

Ksenia Se

AI Concepts & Techniques

AI 101: The Inference Chip Wars – MatX, Taalas, and the Cracks in the GPU Era

14 min read

Feb 25, 2026

AI 101: The Inference Chip Wars – MatX, Taalas, and the Cracks in the GPU Era

The inference chip landscape in 2026: NVIDIA Vera Rubin, MatX's programmable LLM accelerator, and Taalas' model-as-hardware approach compared on cost per token

Alyona Vert., +1

"Froth on the Daydream"

FOD#141: What Happens to Software Engineering When Anyone Can Build?

20 min read

Feb 24, 2026

FOD#141: What Happens to Software Engineering When Anyone Can Build?

the great split

Ksenia Se

Twitter Library

20 GitHub Repos to Build OpenClaw-Style Local AI Agents

3 min read

Feb 22, 2026

20 GitHub Repos to Build OpenClaw-Style Local AI Agents

Set up a local AI agent like OpenClaw with 20 active GitHub repos. Covers Ollama, Milvus, Qdrant, Celery, APScheduler, E2B, and more.

Alyona Vert.

AI 101

14 min read

Feb 18, 2026

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.

Alyona Vert., +1

"Froth on the Daydream"

8 min read

Feb 16, 2026

FOD#140: Something Medium is Happening?

and what you need to feel comfortable with AI

Ksenia Se

Twitter Library

10 Must-read books and surveys about AI and Machine Learning

1 min read

Feb 15, 2026

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

Alyona Vert.

From our partners

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

2 min read

Feb 12, 2026

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

14 min read

Feb 11, 2026

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.

Alyona Vert.

"Froth on the Daydream"

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

8 min read

Feb 9, 2026

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

We are watching a shift from optimizing architectures to organizing capacity

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 101: From Vibe Coding to Spec-Driven Development

FOD#142: What is Agentic RL and why it matters

🎙️"We Are the Only Ones Who Would Build It"

AI 101: The Inference Chip Wars – MatX, Taalas, and the Cracks in the GPU Era

FOD#141: What Happens to Software Engineering When Anyone Can Build?

20 GitHub Repos to Build OpenClaw-Style Local AI Agents

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

FOD#140: Something Medium is Happening?

10 Must-read books and surveys about AI and Machine Learning

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

AI 101: "On-Policy Distillation Zeitgeist"

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