7 Resources

7.1 X Agentic-Engineering Lists

Agentic Engineering

8 AI [blog] Resources

prioritise independent writers, technical depth, open-model communities, and low-hype signal over mainstream media.

(Order by Name ↑)

9 YouTube Videos & Channels

(Sorted by Publication Date ↓)

2026-10-30 Kai: Bytes Is This The End of Token?
2026-10-29 Chris Titus Tech: You’re Using AI Skills Wrong (I Was Too)
2026-10-22 ByteByteGo: Top 5 AI Building Blocks Every Engineer Should Know
2026-10-19 AI Engineer: Is the Agent Harness Dead? — Jediah Katz, SpaceXA
2026-10-19 Cloud Codes: Your Local AI Model Isn’t as Safe as You Think
2026-10-11 Stanford CS146S: How always-on agents work
2026-09-21 Why I couldn’t build Jev at OpenAI — Diogo Almeida, TypeSafe Co-founder & CEO
2026-06-10 ByteByteGo: How to Run LLMs Locally (Great For Learning and Privacy)
2026-05-13 The Coding Gopher: Uni-1 AI image generation model
2026-03-26 The Diary of a CEO: AI Whistleblower: We Are Being Gaslit By AI Companies, They’re Hiding The Truth! - Karen Hao
2026-03-00 Hugging Face: Agentic Evals Workshop Playlist
2025-06-11 Jon Krohn: Agentic AI Engineering: Complete 4-Hour Workshop feat. MCP, CrewAI and OpenAI Agents SDK
2025-04-28 Logically Answered: AMD’s $243 Billion AI Disaster…What Happened?
2025-04022 Computerphile: What is Cuda?
2025-03-05 ByteByteGo: What Is the Most Popular Open-Source AI Stack?
2025-02-05 Andrej Karpathy: Deep Dive into LLMs like ChatGPT
2025-02-02 Lex Fridman: DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
2025-01-29 Peter H. Diamandis: DeepSeek vs. Open AI - The State of AI w/ Emad Mostaque & Salim Ismail | EP #146
2024-11-11 Lex Fridman: Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452
2024-09-09 IBM Technology: RAG vs. Fine Tuning
2024-04-01 3Blue1Brown: Neural networks Playlist
2023-08-23 IBM Technology: What is Retrieval-Augmented Generation (RAG)?
2018-07-30 Lex Fridman: Deep Learning State of the Art (2020)
0000-00-00 Channel: StatQuest with Josh Starmer

10 Articles

(Sorted by Publication Date ↓)

2026-10-21 Grading the Graders: Gaming Benchmarks and Making Your Own
2026-09-11 Lies, Damned Lies, and Benchmarks
2026-09-09 (KV) Cache Rules Everything Around Me
2026-08-27 Pivot to AI: Your AGENTS.md file doesn’t actually do anything
2025-02-12 Unlocking the Effective Context Length: Benchmarking the Granite-3.1-8b Model
2025-02-02 A Detailed Analysis of Fine-Tuning, Direct Preference Optimization (DPO), and Reinforcement Learning with Verifiable Rewards (RLVR) on the LLama3.1 405B Model
2025-01-31 DeepSeek-V3 Explained 1: Multi-head Latent Attention
2025-01-19 Top 5 Mistakes to Avoid When Learning Machine Learning
2024-10-02 How to Get Started with Machine Learning: A Beginner’s Step-by-Step Guide
2024-07-13 MHA vs MQA vs GQA vs MLA
2020-00-00 Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition

11 AI Publication Websites

(Order by Name ↑)

arxiv

11.1 AI Publications

(Sorted by Publication Date ↓)

2025-04-25 BitNet b1.58 2B4T Technical Report
2024-04-09 RULER: What’s the Real Context Size of Your Long-Context Language Models?
2023-07-27 Universal and Transferable Adversarial Attacks on Aligned Language Models - LLM Attacks
2020-05-28 Language Models are Few-Shot Learners (GPT-3)
2019-06-17 Superposition of many models into one
2018-10-11 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2017-06-12 Attention Is All You Need
2015-12-10 Deep Residual Learning for Image Recognition (ResNet)
2014-06-10 Generative Adversarial Networks (GANs)
2012 ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)

12 Online Books

(Sorted by Publication Date ↓)

2026 Principles and Practice of Deep Representation Learning
2024 Machine Learning and Deep Learning with R
2024 Natural Language Processing (NLP) Course
2023 Dive into Deep Learning
2023 State of Open Source AI Book - 2023 Edition
2023 Understanding Deep Learning
2019 Neural Networks and Deep Learning
2018 Deep Learning
2016 Deep Learning

13 Prominent AI People

(Sorted by Surname ↑)

Diogo Almeida - TypeSafe
Dario Amodei - Anthropic
Sam Altman - OpenAI
AmandA Askell - Anthropic
Yoshua Bengio - Mila / Université de Montréal
Lex Fridman - MIT
Demis Hassabis - Google DeepMind
Geoffrey Hinton - University of Toronto
Jensen Huang - NVIDIA
Salim Ismail - Anthropic
Nathan Lambert - Allen Institute for AI
Yann LeCun - Meta / NYU
Fei-Fei Li - Stanford University / World Labs
Emad Mostaque - stability.ai
Andrew Ng - DeepLearning.AI / Stanford
Christopher Olah - Anthropic
Ilya Sutskever - Safe Superintelligence (SSI)