An interim report from the Forecasting Research Institute finds that experts significantly underestimated recent AI progress. But there are areas where their forecasts ran too high, not too low.
Anthropic says Claude found a previously unknown enzyme system, ART, in bacterial viruses. It contains a repeat array reminiscent of CRISPR, but its function is unknown and the work is not peer-reviewed.
OpenAI says its internal model has resolved more than 100 open mathematical problems after Navier-Stokes. A nine-member independent group at the Institute for Advanced Study in Princeton will advise on how those results are released.
Danijar Hafner left DeepMind to found his own company. His method trains robots not by real-world trial and error but inside a model that emulates physical reality. There is no auditable result yet.
Six independent ageing clocks read patients on rentosertib as younger than those on placebo. But the patients did not measurably get younger: what shifted were blood protein patterns, and the sample was 42 people.
Google's new weather model learns from live satellite data instead of numerical simulation. Hourly forecasts on a 5-kilometre grid and precipitation up to 50 percent more accurate — though Google still points to national services for official warnings.
Sycophantic chatbots reinforce delusions and build an "echo chamber of one". Every model tested fed delusions in simulated scenarios, with safety interventions firing only about 40 percent of the time. Researchers propose monitoring like a drug.
Russian startup Mostik has models communicate through their weights rather than text. Bridging the 753-billion-parameter GLM-5.2 with a 4-billion Qwen-3.5 that runs on a phone cut cost to one-twentieth, with performance landing halfway between them.
Ai2's BenchMIRT method examines benchmarks at the level of individual questions, and shows that a single score often mixes together more than one capability.
An experiment with 1,053 students at Bocconi raised grades. But the rubric was penalising the very markers of real thinking. Here is the argument, step by step.
The complaints go well beyond fear of losing a job. The most sceptical group is Gen Z women, at 21 percent positive.
They can neither predict how long a task takes nor tell how long they have worked. They also overrate their own output by 20 points on average.
The model does not truly learn, but it writes itself better instructions after every run. Gemini 3.5 Flash went from 49.5 to 68.1 percent on average.
Benchmark questions leaking into training data make scores meaningless. DeepMind is using cryptography to close both sides off from each other.
A new theoretical study argues research could get worse even if the model worked perfectly. The cause is not error but opportunity cost.
A Stanford study finds workers aged 22 to 25 in the most AI-exposed occupations are 19 percent behind their peers. Older workers appear unaffected.
AI research company Pathway, which develops models based on what it calls a Post-Transformer BDH architecture, has closed a $30 million seed round at a $500 million valuation.
A study involving Google researchers shows that training chatbots not to claim consciousness also changes their stance on animal rights, religion and life satisfaction.
Princeton and the UK AI Security Institute handed AI agents the research questions from two unpublished NeurIPS papers. Both resulting papers were rejected.
Nolan Lovett of the NATO Special Operations University argues that individually rational corporate AI decisions could destroy the shared expertise of entire professions.
Researchers demonstrated that a multimodal system based on YOLO and CLIP can distinguish infected mosquitoes from video footage with high accuracy.