California's almond farms consume 4.2 billion gallons of waters per day, according to Reason's Christian Britschgi. Data centers consume just 46 million gallons per day. Those numbers will certainly ...
Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet. Security researcher ...
Data API Builder helps developers expose database objects through REST and GraphQL without building extensive custom data access code. Steve Jones' Visual Studio Live! San Diego 2026 session will show ...
David Pogue is a six-time Emmy winner for his stories on "CBS Sunday Morning," where he's been a correspondent since 2002. Pogue hosts the CBS News podcast "Unsung Science." He's also a New York Times ...
A hot potato: GitHub has announced that starting April 24, the company will begin using interaction data from Copilot Free, Pro, and Pro+ users to train and improve its AI models unless they opt out.
Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...
Google API keys for services like Maps embedded in accessible client-side code could be used to authenticate to the Gemini AI assistant and access private data. Researchers found nearly 3,000 such ...
Believe it or not, web search is still thriving as an industry. As businesses invest in using AI agents to make the most of their data, there’s demand for tools that not only scrape the web to inform ...
Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...
The viral virtual assistant OpenClaw—formerly known as Moltbot, and before that Clawdbot—is a symbol of a broader revolution underway that could fundamentally alter how the internet functions. Instead ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...