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Turing Post is an independent editorial publication founded in 2022, with 115,000+ 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.
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.
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
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.

Mom of 5. 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.

Editor and Social Media Manager 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 (BMSTU), 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 most inspired by the use of AI in science. 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 is the founder of TheFocus.AI, where he works with Fortune 500 clients on AI transformation — building custom agent workflows and harnesses, and helping engineering and research teams move from prompting to production. He previously founded HappyFunCorp, a Brooklyn product-design and engineering studio that built more than 300 mobile, set-top, and TV apps before being acquired. Along the way he spun out Tezlab, an EV analytics product for Tesla and Rivian owners. At Turing Post he co-authors the Org Age of AI series with Ksenia, focused on how organizations actually adopt these tools — the workflows, the team shapes, and the unit of work that emerges when agents become part of the loop. He writes regularly at https://thefocus.ai and https://willschenk.com and runs TheFocus.AI Labs out of a 1740s house in northwest Connecticut, where he is also raising 5 delightful children.

Ben has been bringing Turing Post’s writing and insights to Korean readers since 2024. Turing Post Korea delivers our global perspective to Korean founders, investors, executives, and builders – connecting frontier AI research, industry shifts, and long-term trajectories with the practical questions shaping products, companies, work, and governance. Ben is an AI investor, founder, and writer based in Korea. He is a partner at Scale Asia Ventures and the founder of Imperai, an enterprise agent control plane developer. His writing focuses on how AI moves from research and demos into real companies, and on the organizational systems needed to make intelligence useful.

Olga joined Turing Post in 2026 as an SEO strategist, bringing nearly 20 years of experience in marketing, PR, and digital communications. After building brands across industries, she realized what energizes her most is helping ideas get found and decided to focus entirely on search. At Turing Post, she works on growing the site's organic visibility: optimizing content for search, building authority, and making sure the work of Turing Post's writers reaches the people actively looking for it. She holds SEO certifications from the University of California, Davis, HubSpot Academy, and Ahrefs Academy. In her free time, Olga travels extensively. She has already visited 40 countries, yet continues to dream of the unknown.

Anastasia leads product and visual design strategy for Turing Post. She defines how the publication’s identity, structure, and reader experience evolve as Turing Post grows from an independent AI newsletter into a broader editorial platform.Her work is shaped by an interest in systems: how people move through complex ideas, how visual language builds trust, and how design can help readers decide what to believe, where to focus, and what to do next. She is especially interested in design that makes complex products feel clear, credible, and conversion-ready. Outside work, Anastasia is interested in Bitcoin, enjoys horse riding, and spends much of her time traveling across South America.
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 infrastructureOptimize for clicks at the expense of accuracy
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:
SubscribeEditorial inquiries and guest pitches: [email protected]