Nvidia plans to invest $3 billion in Meta, which is seeking $95 billion to expand its AI infrastructure. The companies also plan to increase Meta's use of Nvidia processors and work more closely on Meta's Muse AI assistant.
OpenAI says its AI models have produced new results in mathematics, computer science and physics. It has published the math and computer science work for review, while an outside group is examining the physics findings before release.
Opera has introduced WebAI, a web standard that lets its browser run AI models on a user's device instead of using remote servers. The optional feature is available in an early preview of Opera One, with plans to bring it to Opera GX and Opera Neon.
Wikipedia volunteers are removing AI-generated material that breaks the site's rules and testing tools to catch misleading citations and less obvious machine writing. One detection tool flagged about 15 to 16 percent of new articles and drafts in early 2026, but volunteers do not know why that share fell.
ChatGPT receives prepared summaries of OpenAI partner pages and places them before ordinary web results, which arrive as raw text excerpts. An analysis of 1,000 cases found that the summaries covered top-ranked list entries more often than lower-ranked ones, though partners were not always cited correctly.
A study found that some non-English languages need many more AI tokens than others to handle the same text. Among 20 widely used online languages, the highest token counts were 1.5 to 5 times the lowest, creating what the study calls a tokenizer tax.
Silicon Valley AI political groups are backing opposing candidates in the 2026 congressional elections. One side favors faster AI development and fewer state rules, while the other wants stronger safeguards, splitting the industry’s efforts to influence policy.
General Compute raised $100 million in Series A funding despite concerns about the outlook for companies that rent AI computing power. The startup plans to expand its cloud service using chips from Nvidia rivals and space in existing data centers.
Listen Labs has launched Listen Twins, AI models based on interviews with individual people that aim to predict how customers will respond. Companies can use panels of these models to test ideas for ads, prices, and products; Listen Labs says their answers closely matched those of real people in testing.