An open, reproducible AI agent re-derives a famous Erdős disproof, Science asks whether AI proofs can be trusted, plus LLM survey calibration, AI liability and the 'intelligence loop'.

AI finds solutions across 22 fields and cracks an 85-year-old Enigma message, why GenAI may erode advantage built on neglect, AI-made ads that don't look like AI, and a Science study on AI diagnosis.

Two new PNAS studies on telling humans from machines in your data, AI-written PhD dissertations, ChatGPT versus Google Translate in the labour market, and why competition may curb AI homogenisation.

Lookahead bias in LLM-based social science, hidden leakage inside autonomous AI scientists, AI that resolves open Erdős problems, and what ChatGPT did to firm values.

A Science call to keep AI-augmented science contestable, a Nature watermark for AI-designed proteins, an award-winning microscopy video under fire — plus AlphaEvolve in mathematics, generative search, and 'epistemic enchantment'.

Anthropic's agent-run biolab reports CRISPR-like repeats in giant viruses, a new standard lets AI agents drive lab instruments, and a PNAS reanalysis says human–AI teams underperform because we never let humans learn.

Nature's Paper2Agent turns papers into AI 'virtual corresponding authors', Science unveils a multi-agent Virtual Biotech, plus new AI research in Management Science, ISR, MSOM and Operations Research.

Generative AI embeddings bring 50,000 real product descriptions into one experiment, AI-generated headshots expose bias against femininity, and PNAS asks whether AI-generated science has a validity problem.

Science asks whether AI is ready for peer review, Nature asks who is responsible when AI helps write a paper, and a new PNAS framework brings causal inference to text and images.

New evidence from Strategic Management Journal and Information Systems Research on how generative AI reshapes innovation and collaboration — plus algorithmic evaluation, grounded theory with GenAI, and LLM language prediction.

A new analysis puts LLM-assisted writing in nearly 90% of recent PubMed Central papers. Meanwhile, management scholars argue the valuable skill is no longer prompting AI — it's directing it.

A PNAS reanalysis shows a headline result on LLM-driven research productivity can be reproduced with random, inverted and pre-ChatGPT placebo treatments — plus AI agents that can't yet reproduce their own field's papers, platform AI policies that drive creators away, and LLM-simulated bank runs.

AI agents are fact-checking the published canon and turning up decades-old errors in papers and reference tables — while journals debate whether AI should be patching peer review or replacing it. Plus: the next Turing tests, generative AI as a causal tool, and a model predicting we'll 'do more, less well'.

A Strategic Management Journal framework for running experiments with LLM-powered agents, a PNAS essay on whether research stays a human enterprise, and store cameras turned into an 'offline clickstream'.

A 7.3-million-article study says most published papers now show signs of LLM influence — and a new PNAS exchange argues the yardstick itself is broken. Plus: when AI teams don't need to coordinate, ML from 14 examples, and 500 years of art in latent space.

Consumer psychologists debate AI-assisted grounded theory, management scholars audit 353 computational-linguistics papers, and legal researchers argue that nobody is independently benchmarking the AI tools already in professional use.

Researchers quietly manipulated public datasets and handed them to frontier AI agents. About half the time, the agents reached the conclusion the 'fraudsters' wanted — plus AI reviewers at ICML, and what happens to teams when colleagues stop asking each other.

A new PNAS study built autonomous AI analysts and turned them loose on fixed datasets. They reproduced the dispersion of human many-analyst studies — and swapping the analyst's persona shifted the results, even among methodologically sound runs.

GPT-4 forecast the results of 70 real survey experiments almost as well as running them — and a new Science agent now runs biomedical studies on its own. What autonomous research instruments mean for your lab.

New AI systems from Google DeepMind and FutureHouse generate hypotheses, design experiments and interpret results — but the evidence still comes from the lab bench. Plus deepfake face detection, deep learning for company dynamics, and the evolvable-AI threat debate.