AI as Normal Technology
Analyzing AI as transformative but normal technology, not superintelligence. Click to read AI as Normal Technology, a Substack publication with tens of thousands of subscribers.
- Posts
- 73 from 25 Aug 2022 to 19 Oct 2026
- Posting
- monthly (15 in the last year)
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- personal blog
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2026 15
- New paper: Emerging trends in AI agent evaluation
- Steering AI Beyond Automation
- A big-tent or small-tent AI safety movement?
- AI existential risk probabilities are (still) too unreliable to inform policy
- The AI-as-Normal-Technology view of loss-of-control incidents
- AI agents can't yet do open-ended AI research
- What will be left for us to work on?
- Up the Stack: How AI’s Escape From the Commodity Trap Risks Enterprise Lock-in
- Why AI hasn’t replaced software engineers, and won’t
- Did Google’s AI agents really build an operating system for $916?
- Do AI Risks Require Extraordinary Government Intervention?
- Open-world evaluations for measuring frontier AI capabilities
- New Paper: Towards a science of AI agent reliability
- AI Won’t Automatically Make Legal Services Cheaper
- Fact checking Moravec's paradox
2025 4
2024 19
- Is AI progress slowing down?
- We Looked at 78 Election Deepfakes. Political Misinformation is not an AI Problem.
- Does the UK’s liver transplant matching algorithm systematically exclude younger patients?
- FAQ about the book and our writing process
- Can AI automate computational reproducibility?
- Start reading the AI Snake Oil book online
- AI companies are pivoting from creating gods to building products. Good.
- AI existential risk probabilities are too unreliable to inform policy
- New paper: AI agents that matter
- AI scaling myths
- Scientists should use AI as a tool, not an oracle
- AI leaderboards are no longer useful. It's time to switch to Pareto curves.
- AI Snake Oil is now available to preorder
- Tech policy is only frustrating 90% of the time
- AI safety is not a model property
- A safe harbor for AI evaluation and red teaming
- On the Societal Impact of Open Foundation Models
- Will AI transform law?
- Generative AI’s end-run around copyright won’t be resolved by the courts
2023 26
- Are open foundation models actually more risky than closed ones?
- Model alignment protects against accidental harms, not intentional ones
- What the executive order means for openness in AI
- How Transparent Are Foundation Model Developers?
- Evaluating LLMs is a minefield
- Is the future of AI open or closed? Watch today’s Princeton-Stanford workshop
- One year update: book submitted; TIME 100; Sep 21 online workshop
- Does ChatGPT have a liberal bias?
- Introducing the REFORMS checklist for ML-based science
- ML is useful for many things, but not for predicting scientific replicability
- Is GPT-4 getting worse over time?
- Generative AI companies must publish transparency reports
- Three Ideas for Regulating Generative AI
- Is AI-generated disinformation a threat to democracy?
- Licensing is neither feasible nor effective for addressing AI risks
- Is Avoiding Extinction from AI Really an Urgent Priority?
- Quantifying ChatGPT’s gender bias
- I set up a ChatGPT voice interface for my 3-year old. Here’s how it went.
- A misleading open letter about sci-fi AI dangers ignores the real risks
- OpenAI’s policies hinder reproducible research on language models
- GPT-4 and professional benchmarks: the wrong answer to the wrong question
- What is algorithmic amplification and why should we care?
- Artists can now opt out of generative AI. It’s not enough.
- The LLaMA is out of the bag. Should we expect a tidal wave of disinformation?
- AI cannot predict the future. But companies keep trying (and failing).
- People keep anthropomorphizing AI. Here’s why
2022 9
- Four more things we worked on in 2022
- ChatGPT is a bullshit generator. But it can still be amazingly useful
- The bait and switch behind AI risk prediction tools
- Students are acing their homework by turning in machine-generated essays. Good.
- Eighteen pitfalls to beware of in AI journalism
- Generative AI models generate AI hype
- Why are deep learning technologists so overconfident?
- A sneak peek into the book
- Introducing the AI Snake Oil book project