Benj Edwards

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that “deep learning” could achieve things conventional […]

Caution over citations and sources Claude users should be warned that large language models (LLMs) like those that power Claude are notorious for sneaking in plausible-sounding confabulated sources. A recent survey of citation accuracy by LLM-based web search assistants showed

On Wednesday, web infrastructure provider Cloudflare announced a new feature called “AI Labyrinth” that aims to combat unauthorized AI data scraping by serving fake AI-generated content to bots. The tool will attempt to thwart AI companies that crawl websites without

It’s worth clarifying that AI models did not generate the images used in the study. Instead, researchers used popular, pre-existing meme templates, and GPT-4o or human participants generated captions for them. More memes, not better memes When crowdsourced participants rated

During Tuesday’s Nvidia GTX keynote, CEO Jensen Huang unveiled two “personal AI supercomputers” called DGX Spark and DGX Station, both powered by the Grace Blackwell platform. In a way, they are a new type of AI PC architecture specifically built

Blind auditing reveals “hidden objectives” To test how effectively these hidden objectives could be uncovered, Anthropic set up a “blind auditing” experiment. Four independent research teams tried to detect a model’s hidden, score-maximizing motivations without knowing how it had been

Even when these AI search tools cited sources, they often directed users to syndicated versions of content on platforms like Yahoo News rather than original publisher sites. This occurred even in cases where publishers had formal licensing agreements with AI

Developers using the Responses API can access the same models that power ChatGPT Search: GPT-4o search and GPT-4o mini search. These models can browse the web to answer questions and cite sources in their responses. That’s notable because OpenAI says

Credit: Kirillm via Getty Images However, these promotional claims don’t always match real-world performance, according to recent tests. “I’m typically a pretty big fan of the Mistral models, but the new OCR-specific one they released last week really performed poorly,”

On the Frontier Math benchmark by EpochAI, o3 solved 25.2 percent of problems, while no other model has exceeded 2 percent—suggesting a leap in mathematical reasoning capabilities over the previous model. Benchmarks vs. real-world value Ideally, potential applications for a