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In-depth analysis of AI model architectures: LLMs, reasoning models, world models, VLMs, and small models. Curated by Turing Post for AI practitioners.
AI 101
+1

16 min read
Jul 21, 2026
What is a reasoning model? How it differs from standard LLMs, how Chain-of-Thought works, and how to compare o1, DeepSeek-R1, Qwen 3 & top models of 2026.


AI 101
+1

8 min read
Jul 10, 2026
Learn how OpenAI’s Whisper model works, what it does well, where it fails, and how to run Whisper locally or through an API.

AI 101
+2

16 min read
Jul 6, 2026
What are VLA models? Learn Vision-Language-Action architecture, key systems (π0, Helix, SmolVLA) & the leap to VLA+. Deep dive.


AI 101
+2

11 min read
Jul 1, 2026
Qwen-Agent explained: tool calling, planning, memory, and how to build AI agents with Alibaba's open-source Qwen models — from QwQ-32B to Qwen2.5-VL.


AI 101
+2

14 min read
Jun 18, 2026
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.


AI 101
+2

15 min read
Jun 4, 2026
NVIDIA Cosmos is a world foundation model platform for Physical AI: tokenizer, diffusion and autoregressive WFMs, guardrails, and Cosmos 3 omnimodal world model.

AI 101
+2

11 min read
May 31, 2026
LeJEPA by Yann LeCun: provably stable self-supervised learning without heuristics. SIGReg, isotropic Gaussian embeddings & world models explained.


AI 101
+2

13 min read
Apr 8, 2026
Gemma 4 runs locally via Ollama with zero API cost. Full architecture breakdown — attention mix, MoE, per-layer embeddings — and why OpenClaw users are switching from Claude.

AI 101
+3

12 min read
Mar 18, 2026
Nemotron Coalition is NVIDIA's bet on open frontier AI — with Mistral, Cursor, Black Forest Labs and others. How Nemotron 3 works and who holds power.


AI 101
+1

9 min read
Nov 12, 2025
Kimi K2 Thinking is Moonshot AI's open reasoning agent: 200–300 tool calls, 256K context, INT4 quantization. Architecture, benchmarks, and real use cases.


AI 101
+2

13 min read
Oct 8, 2025
Meta's Code World Model, Stanford PSI, Dreamer 4, Genie 3, and Cosmos WFM 2.5 — what's new in world models for coding, video, and robotics in 2025.

AI 101
+1

12 min read
Aug 6, 2025
What is GPT-OSS? OpenAI's open-weight MoE models explained: architecture, Ollama setup, memory requirements, and benchmarks vs DeepSeek & Qwen3.



AI 101
+1

4 min read
Jul 23, 2025
Refreshing Smol and Qwen models, Liquid Foundation Models with latest Hyena Edge, and legendary BERT

AI 101
+3

12 min read
May 28, 2025
What is BERT in NLP? Learn how BERT works—MLM, NSP, fine-tuning—plus modern variants like RoBERTa, DistilBERT, ModernBERT, and ConstBERT in 2026.

AI 101
+2

11 min read
Apr 30, 2025
What are Liquid Foundation Models? LFM-1B to 40B benchmarks, Hyena Edge architecture, memory efficiency vs Transformers.

AI 101
+3

12 min read
Apr 9, 2025
World models are AI systems that simulate environments and predict future states in response to actions — unlike LLMs. Covers DreamerV3, Cosmos, JEPA, and more.

AI 101
+1

12 min read
Feb 26, 2025
SmolLM2, SmolVLM, and SmolVLM2 explained: how Hugging Face trains small language models on curated datasets and multi-stage pipelines

AI 101
+1

6 min read
Nov 27, 2024
LLaVA-o1 reasons step-by-step through 4 structured stages & stage-level beam search. How it works, benchmarks vs GPT-4o-mini & Gemini-1.5-pro, and where it falls short.

AI 101
+1

7 min read
Nov 6, 2024
Trace Mistral AI's roadmap from Mistral 7B to Mixtral 8×7B and Ministral. Architecture, benchmarks, and edge computing use cases.

AI 101
+1

5 min read
Sep 25, 2024
OLMoE: open-source sparse Mixture-of-Experts with 1B active and 7B total parameters. How it works, how it was trained, and why it matters for open-source AI.


Turing Post is an AI newsletter for engineers, researchers, founders, and technical managers who want to understand how machine learning and AI actually work.
Built on more than two decades in tech and seven years focused on AI, we track the research that matters, the systems being built, and the ideas shaping the field, from LLMs and AI agents to JEPA, world models, retrieval, inference, evaluation, AI infrastructure, and agentic workflows.
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