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AI’s Memorization Crisis
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular large language models—OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, and xAI’s Grok—have stored large portions of some of the books they’ve been trained on, and can reproduce long excerpts from those books.
From Venezuela to Minneapolis, the rapid rollout of deepfakes around major news events is stirring confusion and suspicion about real news.
Each of these four Google employees took different paths to pivot into AI, but all of them spent roughly a year preparing for the transition.
The opportunity for everyday folks to enhance their lives and work with AI has never been greater, but it can take experimentation and persistence.
For over two decades, visibility in search meant fighting for page one on Google. That’s still an important goal, but now it’s only part of the story.
Some of Cursor's biggest AI features didn't start on a roadmap. They were bottom-up projects built by its engineers, says Jason Ginsberg.
US fintech firm Fiserv has teamed with Microsoft to embed AI more deeply across its development platforms and global workforce. The move underscores Fiserv’s broader push to integrate AI into its operations and products as competition intensifies across the fintech and payments landscape.
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence.
Meta Platforms announced a deal with Oklo, Vista, and TerraPower to power its AI buildout. Nuclear energy stocks surged on the news.