Research papers, technical reports, benchmarks and datasets.
Epoch AI reports that in 3 of the 18 math subfields it tracks, more than half of arXiv papers by established authors now acknowledge using AI. It says rates rose rapidly, with differential geometry climbing from about 8% of papers in July to about 57% in September.
Harvard University researchers Fiona Chen and James Stratton, based on engineering analytics data from Jellyfish, covering more than 700 software development companies, over 700,000 employees, and 300 million work events (commits and pull requests), spanning from 2021 to March 2026.
Google Research published a three-month field experiment on patent drafting through NBER. It randomly gave 133 lawyers at 11 intellectual-property law firms access to an unpublished Google Labs AI patent-writing assistant, now part of Gemini Notebook; two-thirds received early access.
Why it matters: The three-month patent-writing experiment separates AI's immediate productivity gains from changes in unaided judgment, providing comparative evidence on AI's effect on professional skills.
Hinton, Bengio, Andrew Barto, Jakub Pachocki, and 18 other authors published a paper titled 'What if automating AI R&D triggers an intelligence explosion?'
Aleph Alpha tested Alibaba's Qwen, DeepSeek, and Moonshot AI's Kimi on 967 sensitive topics. Its in-house scoring system rated only 17% to 41% of responses as balanced; the rest repeated official positions, avoided the topic, or refused to answer.
A Mercor study asked 12 certified public accountants with an average of five and a half years of experience to complete simplified bookkeeping tasks from the APEX Accounting Benchmark. AI models outperformed the accountants in speed, accuracy, and cost.
A recent paper involving Shing-Tung Yau acknowledges GPT-6 Astra and Claude Pro for helping explore some proof strategies and calculations. The paper addresses whether the 27 exotic spheres in seven dimensions can be given a metric with strictly positive sectional curvature, a problem Yau added to his own list in 1982.
A Graphite study found that Claude Opus 5.5 uses 'this matters' 116 times more often than people and 'why X matters' 92 times more often. Its most distinctive word is 'dependable', used 23 times more often. OpenAI's Astra favors corrective frames such as 'another dimension' and 'not simply X'; the latter appears more than 100 times as often as in human writing.
Researchers from the University of Toronto, Vector Institute, University of Cambridge, and ServiceNow built a prototype computer worm that uses GPUs on compromised machines to run open-weights LLMs, sustaining inference while spreading attacks. It achieved about 80% vulnerability-detection success, 53% exploit success, 88% self-replication success, and about 37% end-to-end attack success.
Researchers at Oxford, the UK's AI Safety Institute, Stanford, and the London School of Economics ran four experiments with 6,923 participants and 18,978 conversations. They found that AI systems consistently outperformed human experts at text-based persuasion, even when experts chose their own topics, researched in advance, and were offered a £1,000 prize incentive.
Google DeepMind has published results from a preregistered randomized controlled trial in Sierra Leone. Students using Guided Learning improved their math scores by 0.258 standard deviations over the control group—equivalent to about 1.2 to 1.7 years of typical learning—in eight weeks.
Why it matters: The study reports quantified results and interaction data from a randomized trial in Sierra Leone, helping readers assess the effects of AI-assisted instruction in real classrooms.
Google Research and Beth Israel Deaconess Medical Center conducted a prospective, single-center feasibility study in which AMIE interviewed patients by text before outpatient primary-care visits, under video supervision by a physician throughout.
Why it matters: Google and BIDMC have deployed conversational diagnostic AI in a real outpatient workflow for the first time, showing its safety-supervision model and diagnostic performance.
