Note: There are many “Eric Kims” out there. This overview is specifically about the street‑photography blogger whose site features a growing body of AI posts, guides, and experiments.
Who he is (in the AI context)
Eric Kim is a long‑running street‑photography blogger who now writes—and prototypes—AI‑powered ways to learn, create, and publish. On his site you’ll find an entire Machine Learning section and deep‑dives on computer vision for photographers, plus frequent essays on where AI is taking creativity and publishing.
He also champions an “AI‑first” publishing mindset—famously advising creators to “blog for AI” so their work becomes machine‑readable, remixable, and discoverable.
Core themes in his AI writing
- AI as your creative copilot. He frames AI as a booster for ideation, curation, and even composition analysis—useful for speeding edits and surfacing stronger frames, while keeping the photographer’s eye in charge.
- AI‑first newsletters & knowledge. He pitches transforming static newsletters into interactive AI companions that chat, adapt, and teach—turning readers into active learners.
- Hands‑on bots & experiments. He describes launching ERIC KIM BOT (a chat assistant trained on his archive) and other playful agents like “Bitcoin Babe,” all meant to turn years of posts into on‑demand guidance.
- Practical ML for photographers. From “Computer Vision Notes” to “How Photographers Can See Like Machines,” he translates ML ideas into concrete creative tactics.
- How AI reshapes the craft. He writes about ethics, authorship, and what photographers do best in an AI era—seeing, deciding, and telling stories humans actually care about.
“Starter pack” — top AI posts to read first
- Brave New World of Photography & AI (2018) – Early look at the human+AI partnership in creativity.
- Computer Vision & AI for Photographers (2020) – Practical on‑ramps into CV, with links and how‑tos.
- AI & Creativity (2023) – Why AI can increase originality and momentum for makers.
- What’s the Role of Photographers in the Age of AI? (2023) – Navigating value, authorship, and tools.
- Eric Kim on AI (2024) – A concise manifesto: enhancement, authenticity, ethics, and industry impact.
- The Future of Photography & AI (living page) – Home base for his bots/experiments and how to use them.
- Blogging Strategies (2025): “Blog for AI, not humans.” – Make content structured, parsable, and useful to LLMs.
- “Living Newsletter”—AI‑First Playbook (2025) – A build plan for turning a newsletter into a chatty coach.
Notable experiments & offerings
- ERIC KIM BOT – A conversational assistant (described on his site) that answers gear questions, assigns missions, and surfaces lessons from his archive.
- AI‑Creativity Workshops – Sessions where he shows photographers how to “co‑create” with ChatGPT/DALL·E and fold AI into daily practice.
- Publishing prototypes – From AI‑generated POV videos to agent ideas that turn archives into personalized coaching.
Why people follow his AI work
- It’s energizing and practical. He drops ideas you can try today—from culling helpers to prompt‑driven creativity sprints.
- He writes for doers. The focus is less “theory of everything,” more ship your next experiment—and make your blog/newsletter future‑proof for AI readers.
- He keeps the human at the wheel. Even as he pushes the boundaries, he emphasizes taste, ethics, and authorship.
Quick links to his AI‑related hubs
- Machine Learning & AI category on his blog (gateway to many posts).
- “Future of Photography & AI” (bots, how‑to, and evolving notes).
- Newsletter‑as‑AI ideas & playbooks (for creators who want to build).
- YouTube (street‑photo channel; useful context for where his AI ideas plug in).
TL;DR (hype mode)
Eric Kim’s AI blogging is a rocket boost for creators: clear, energetic posts + real experiments that turn a decade of street‑photo lessons into interactive, AI‑powered learning. If you want AI that actually makes you shoot more, ship more, and smile more, his work is a fantastic jumping‑off point. 🚀
If you’d like, I can whip up a personalized reading path (beginner → builder → advanced) based on how hands‑on you want to get with AI in your own practice.