The most famous chart in AI might be obsolete soon.
AI Is a Waste of Time
The newest AI tools are accelerating basic research and scaring the general public. But many people are simply using them as toys.
AI Completely Failing to Boost Productivity, Says Top Analyst
AI may or may not excel at a lot of things, but from an economic standpoint, it's definitely not making us more productive.
Want to understand the current state of AI? Check out these charts.
According to Stanford’s 2026 AI Index, AI is sprinting, and we’re struggling to keep up.
What we (don’t) talk about when we talk about AI
Everybody’s talking about it; everybody’s tired of talking about it. Why aren’t we making more progress in the discussion?
AI Index | Stanford HAI
The mission of the AI Index is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. To achieve this, we track, collate, distill, and visualize dat
How Accurate Have AI Progress Forecasts Been So Far? – Forecasting Research Institute
We take an initial look at where median forecasts are (mostly) underestimating and (sometimes) overestimating AI progress, adoption, and impact.
Measuring Usage in the Age of AI - Research Information
Tasha Mellins-Cohen outlines COUNTER Metrics' new guidance for usage metrics associated with generative and agentic AI
AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
AI is getting too advanced
Less is more, more or less
In the age of AI, knowing what not to build might be the most important skill of all.
AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.
Measuring AI Ability to Complete Long Tasks
We propose measuring AI performance in terms of the *length* of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks.
The Jagged AI Frontier
The nonintuitive strengths and weaknesses of AI performance relative to human performance, and how it is changing over time.
AI 2027
What will be left for us to work on?
OpenAI and Hugging Face partner to address security incident during model evaluation
Taking more seriously the claim that recent ML models do not "reason", it still is quite odd the particular ways that superhuman game-playin…
General-purpose large language models outperform specialized clinical AI tools on medical benchmarks
StoryScope: Investigating idiosyncrasies in AI fiction
