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2026-03-12 17:00:00| Engadget

With Claude enjoying a moment of newfound popularity among regular people, Anthropic is previewing an update designed to make its chatbot better at explaining some concepts. Starting today, Claude can generate charts and diagrams as part of its responses, either when asked directly or when it decides visuals might be helpful to the user. For example, try asking Claude what's the best way to fold a paper plane. Where previously it was limited to text, now it can show you step by step how to fold a Nakamura lock plane. Anthropic is quick to point out what it's introducing today isn't image generation. When producing visual aids, Claude will use HTML code and XML vector graphics. Anthropic likens it to giving Claude access to its own whiteboard. The new feature is available to all Claude users, regardless of whether you pay for one of Anthropic's subscriptions. However, the company does warn it's releasing beta software, so expect some quirks along the way. The feature also isnt available on mobile just yet. This release comes just days after OpenAI made ChatGPT capable of generating interactive visuals when explaining science and math concepts.  This article originally appeared on Engadget at https://www.engadget.com/ai/claude-can-now-generate-charts-and-diagrams-160000369.html?src=rss


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2026-03-12 16:55:23| Engadget

Honda has announced it is canceling three electric vehicles it was months from starting production on at its EV Hub in Ohio. The Honda 0 SUV, the Honda 0 sedan and the Acura RSX are all being wound down. The company showed off all three models, and touted them as in near-production form at CES 2025. Unlike the Honda Prologue and Acura ZDX, which run on GM's Ultium platform, the scrapped models were built on Honda's own Zero platform and would have been its first fully in-house EVs. Honda in part blamed the elimination of federal EV tax credits, eased fossil fuel regulations and US tariffs for the decision. The company said US demand for electric vehicles had slowed because of the policy changes. In China, it admitted it could not match the value offered by newer manufacturers building software-driven vehicles on shorter production cycles. CEO Toshihiro Mibe said at a press conference that the demand shift had made EV profitability "very difficult," according to Reuters. The company said it will redirect resources toward next-generation hybrids and only bring EVs to market when demand justifies it. It also shared plans to expand in India, where it expects the hybrid market to expand. Honda is not alone in pulling back from EV production, with brands like Hyundai, Kia, Volkswagen, Porsche and Ford having all scrapped or delayed major US EV projects since federal policy shifted. The total restructuring of its EV business could cost Honda up to 2.5 trillion yen ($15.7 billion), with the company set to lose money for the first time since going public in 1957. Mibe and Executive Vice President Noriya Kaihara will forgo 30 percent of their compensation for three months, with other senior executives giving up 20 percent. Honda said it plans to share a detailed long-term strategy at a press conference in May.This article originally appeared on Engadget at https://www.engadget.com/transportation/evs/honda-cancels-three-evs-that-were-months-away-from-us-production-155523384.html?src=rss


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2026-03-12 16:45:42| Engadget

Flash floods are notoriously difficult to predict, but Google might have a novel solution. The company just revealed Groundsource, a prediction tool for flash floods that uses Gemini to source data from old news reports. This is the first time it has used a language model for this type of work. Flash flood prediction models need historical data and model training that often doesn't exist. Our solution: Groundsource, a new AI-powered methodology that uses Gemini to transform 5M+ global reports into a precise dataset of 2.6M+ flood events.This provides a massive, Google Research (@GoogleResearch) March 12, 2026 Google tasked Gemini with sorting through 5 million news articles from around the world and isolating flood reports. It transformed this data into a geo-tagged series of chronological events. Next, researchers trained a model to ingest current weather forecasts and leverage the Groundsource data to determine the likelihood of a flash flood in a given area. We don't have any concrete information as to how accurate Google's forecast model is, though that should come over time. One trial user did say it helped his organization respond quicker to localized weather events. For now, the company is highlighting risks for urban areas in 150 countries via its Flood Hub platform. Google is also sharing its data with emergency response agencies in these locations. Google There are some limitations here. The model can only identify risk across a 20-square-kilometer area. It's also not quite as precise as the US National Weather Service's flood alert system, because Google's model doesn't integrate local radar data. This data typically enables real-time tracking of precipitation. However, the platform's been designed to work in areas that don't typically have access to that kind of weather-sensing infrastructure. Juliet Rothenberg, a program manager on Google's Resilience team, hopes that this technology can eventually be used to predict other tricky phenomena. This includes stuff like heat waves and mudslides. "Were aggregating millions of reports, she told reporters this week. "It enables us to extrapolate to other regions where there isnt as much information." This is Google's first use of a language model for weather forecasts, but not its first time it has relied on AI for this type of thing. The company's DeepMind WeatherNext 2 forecasting model has proven to be extremely accurate.This article originally appeared on Engadget at https://www.engadget.com/ai/google-built-a-flash-flood-prediction-tool-using-gemini-and-old-news-reports-154542963.html?src=rss


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