AI Progress Tracked by Misunderstood Graph, While Europe Sees EV Sales Surge
The AI community closely monitors the progress of large language models, with a graph created by the AI research nonprofit METR (Model Evaluation - Threat Research) playing a significant role in assessing AI capabilities. The graph, first released in March of last year, suggests that certain AI capabilities are developing at an exponential rate, and recent model releases have outperformed that trend, according to MIT Technology Review. This comes as Europe experiences a surge in electric vehicle (EV) sales, increasing by 29 percent last year, bringing market share to 19.5 percent, according to data from automotive analyst JATO Dynamics.
The METR graph has become an "iconic graph" in the AI discourse, with the community holding its breath every time OpenAI, Google, or Anthropic releases a new large language model, according to MIT Technology Review. The latest version of Anthropic's most powerful model, Claude Opus 4.5, outperformed the already impressive trend shown in the graph.
Meanwhile, the European car market is recovering more slowly from the pandemic than the rest of the world, but EV sales are on the rise. Overall vehicle sales in Europe barely ticked up last year, rising 2.2 percent from 2024, according to JATO Dynamics. Despite this slow growth, EV sales have seen a significant increase.
In other technology news, SAP's AI solution, Joule, has transformed how business users work by turning siloed data and tasks into intelligent, connected workflows, according to VentureBeat. SAP has also introduced SAP Joule for Consultants, designed to help system integrators and consulting teams drive smarter, faster outcomes for their clients. This AI partner aims to deliver accurate SAP knowledge instantly, helping consultants navigate complex implementations and evolving best practices.
Additionally, nuclear power remains a hot topic in energy, with discussions focusing on next-generation nuclear power, hyperscale AI data centers, and the grid, according to MIT Technology Review. Many next-generation reactors do not use the low-enriched uranium used in conventional reactors, raising questions about fuel needs and supply chain management.
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