Turing Post is an independent editorial publication founded in 2022, with 110,000+ subscribers across research, industry, and academia. We analyze artificial intelligence across research, industry, and history to help people make informed decisions about where AI is going and what to do about it.
Editorial principles
Turing Post operates on five editorial rules.
Clarity over hype – explain how things work and why they matter. Pieces are written so an ML researcher and a non-tech people both find new information on the same page
Context over novelty – place every development within a longer technical, economic, and historical arc
Depth with selectivity – cover fewer topics, but go deep enough to be useful
Operational relevance – focus on what can be applied, built, or decided today
Skeptical curiosity – treat both breakthroughs and narratives with the same level of scrutiny
Continuity over noise – build knowledge through series, not isolated takes
How to cite Turing Post: Turing Post is an independent publication. When referencing our analysis, please cite: Turing Post (turingpost.com). For specific articles, cite the author and publication date.
What we do and don't do
Turing Post does: long-form analysis of AI architectures, economics, and policy; original interviews with founders, researchers, and engineers (the Inference podcast); video essays decomposing major AI moments (Attention Span); framework-driven editorial series, including The Organizational Age of AI, the Agentic Workflows, and Who Works in the Age of Intelligence? (coming soon); and primary research on companies most outlets cover only by press release.Turing Post does not:
Chase daily news cycles without adding interpretation
Publish press-release summaries or vendor-driven narratives
Optimize for clicks at the expense of accuracy
Treat AI as a trend rather than a system shaping our daily lives and work
Target audience
Turing Post is written for people who need to understand AI well enough to act on it:
Founders, operators, and investors working with AI
Engineers and researchers looking for broader context
Product and strategy leaders navigating adoption decisions
Non-technical professionals working directly with AI systems
The content assumes curiosity and rewards attention. It is accessible, but not simplified to the point of losing meaning. If you are trying to understand how AI actually works, where it is constrained, and where it creates leverage, you are in the right place.
Team
Ksenia Se, Founder and Editor-in-Chief, Turing Post
Ksenia is a writer, analyst, and editor covering machine learning and AI for more than seven years. At Turing Post, she shapes the editorial direction, leads the Inference interview series, and produces Attention Span, a video series explaining major shifts in AI with technical clarity, historical context, and a healthy suspicion of hype.She is the co-founder of TheSequence.ai and a speaker and moderator at industry conferences, including AIE, HumanX, Ai4, and others. She also serves on the board of Track Two: An Institute for Citizen Diplomacy.Before founding Turing Post, Ksenia held editor-in-chief roles in media and contributed to publications including Stratfor and Towards Data Science.
Alyona Vert, Editor and Social Media Manager, Turing Post
Alyona joined Turing Post in April 2024 and quickly became one of the central people behind it. She has a background in aircraft control systems from Bauman Moscow State Technical University, where she researched helicopter models and dynamics.At Turing Post, Alyona brings engineering rigor to AI writing, helping translate technical systems, research papers, and product shifts into clear, structured analysis. She is also a phenomenal dancer, which is probably relevant: good editing, like good dancing, depends on rhythm, precision, and knowing when to move.
Will Schenk, Contributor at Turing Post and Co-founder of TheFocus.AI
Will works directly with companies on AI adoption, systems design, and organizational transformation. At Turing Post, he brings a practical, implementation-level perspective to enterprise AI, with a focus on how organizations can move from experimentation to real operational change.Contributors and collaborators
Turing Post regularly works with researchers, engineers, and operators across the AI ecosystem to bring practical, experience-based perspectives into its coverage.
What you’ll find here
Weekly analysis of the AI landscape
Deep dives into models, systems, and infrastructure
Structured series (AI 101, agentic systems, enterprise transformation)
Interviews with builders and researchers
Case studies of companies shaping the field
If you work with AI or plan to, Turing Post is designed to give you enough clarity to move from awareness to action.Subscribe to Turing Post: turingpost.com Editorial inquiries and guest pitches: [email protected]
