Answers

No, it is not too late to reverse the trajectory of climate change or limit its worst impacts, though some changes are already irreversible on human timescales, and the window for effective action is rapidly closing. The scientific consensus (from IPCC, NASA, UNEP, and others) is clear: human-caused greenhouse gas emissions are driving warming, and deep, rapid cuts can still stabilize and eventual

Yes, a substantial and growing body of evidence indicates that diets high in ultra-processed foods (UPFs) pose a significant public health hazard, contributing to obesity, chronic diseases, and related burdens worldwide—though nuances exist around classification, causality, and variation among products.[[1]](https://www.reuters.com/business/healthcare-pharmaceuticals/ultra-processed-foods-are-dang

Short answer: Yes, over their full lifetime The overwhelming consensus from life-cycle analyses is that electric vehicles (EVs) produce significantly fewer greenhouse gas emissions than gas-powered vehicles over their full lifespan — but the picture is more nuanced than a simple "EVs are clean, gas cars are dirty" statement. The manufacturing trade-off EVs start out with a bigger carbon "debt

Short answer: Yes, the evidence increasingly indicates ultra-processed foods (UPFs) are a significant public health hazard — though there remain some nuances and debates about mechanisms and universality. The evidence base is large and consistent Dozens of observational studies have converged on the same conclusion. Dozens of scientific studies have found links between the consumption of foods

Should we hit pause on AI? I'll map the arguments for and against restrictions for you. There is no consensus on whether AI development should be paused or restricted, but the debate centers on a trade-off between safety and innovation. 1. The Call to Pause In March 2023 the Future of Life Institute published an open letter calling on "all AI labs to immediately pause for at least 6 months the

Your question sits at the center of AI's biggest safety debate — I'll map the arguments that open versus closed models are safer or riskier. Open-source AI is not categorically safer or riskier than closed/proprietary AI - evidence suggests each model has different safety advantages and risks, and experts increasingly argue the risks should be assessed as marginal risk rather than a binary. Arg

Yes, AI chatbots (powered by large language models or LLMs) exhibit various biases. These are well-documented across scientific studies, audits, and real-world testing. Biases arise primarily because models learn statistical patterns from vast training data scraped from the internet and other sources (which mirror human societal biases, stereotypes, cultural skews, and imbalances in representation

Yes, according to a large and growing body of evidence from epidemiological studies, umbrella reviews, mechanistic research, and expert consensus (including a major 2025 Lancet series), diets high in ultra-processed foods (UPFs) represent a significant public health hazard. They are linked to worse diet quality and elevated risks of numerous chronic diseases, contributing to the global rise in non