Topics

Every story and paper, filed by subject.

Learning theory 1
Generalization, sample complexity, information-theoretic and PAC-Bayes bounds.
Probability 2
Concentration inequalities, random matrices, stochastic processes, high-dimensional probability.
Optimization 2
Stochastic and convex optimization, training dynamics, sampling algorithms.
Reasoning and inference 0
Test-time computation, majority voting, self-consistency, chain-of-thought and its theory.
Large language models 2
New models, training and post-training methods, evaluations.
Agents 3
AI systems that act in software and on the web.
AI safety 3
Alignment, reward hacking, evaluations of dangerous behaviour, security incidents.
AI policy 1
Regulation, government action and public institutions.
AI industry 3
Companies, deals, compute, revenue and investment.
Quantitative finance 3
Pricing, portfolio construction, systematic strategies, financial machine learning.
Market microstructure 2
Order books, price impact, liquidity and execution.
Credit risk 1
Credit scoring, default modelling and model governance.
Markets 3
Equities, rates, commodities and the moves that matter.
Economy 3
Central banks, inflation, growth and macroeconomic data.
Mathematics 2
Notable results and how mathematics is changing.