Eyes in the tech world have turned toward Mountain View, California this week. The San Francisco Bay Area city is where Google's headquarters is located, making it a logical place to hold the company's annual developer conference. That's right, gang, Google I/O 2026 kicked off on Tuesday with the usual opening keynote, which is where the company reveals what's arguably the event's most relevant info for consumers. Google made a ton of Android announcements last week, so its mobile ecosystem wasn't really on the agenda. But what else could the onus possibly have been on if not AI? We heard the word Gemini more times than I could possibly care to count, and the company had many updates to share on that front. Search, Google's longtime bread and butter, was a big focus of the event. The company talked up a new Ask YouTube feature as well as changes to AI subscription pricing and Workspace features like Docs and Gmail.

Recent progress in generative artificial intelligence (gen-AI) has enabled the generation of photo-realistic and artistically-inspiring photos at a single click, catering to millions of users online. To explore how people use gen-AI models such as DALLE and StableDiffusion, it is critical to understand the themes, contents, and variations present in the AI-generated photos.

Elon Musk's Grok is breaking the law, and nobody in power seems to care. Please enable javascript to get your Slate Plus feeds. If you can't access your feeds, please contact customer support. Check your phone for a link to finish setting up your feed. Please enter a valid phone number.

Elon Musk's X is living up to its name. Shortly after Elon Musk purchased Twitter, in 2022, he claimed that "removing child exploitation is priority #1." It was certainly a noble goal--social-media sites had become havens for distributing abusive materials, including child pornography and revenge porn, and there was perhaps no major platform as openly hospitable to such content as Twitter. Unlike Facebook, Instagram, and TikTok, which restricted nudity and pornographic videos, Twitter allowed users to post violent and "consensually produced adult content" to their feeds without consequence. Long before Musk's takeover, Twitter had positioned itself as anti-censorship, the "free-speech wing of the free-speech party," as Tony Wang, the general manager of Twitter in the U.K., once put it--less concerned with policing content than with providing a public square for users to express themselves freely.

Their creators say it's the getting back up part that matters. A humanoid robot is carried by technicians after being knocked out in a kickboxing match at the World Humanoid Robot Games on August 15, 2025 in Beijing, China. Breakthroughs, discoveries, and DIY tips sent every weekday. Tech companies are collectively spending billions to turn the age old sci-fi trope of humanoid, general-purpose robots into reality. So far, that momentous effort has mostly produced staged performances, underwhelming demos, and of falling.

Recent progress in generative artificial intelligence (gen-AI) has enabled the generation of photo-realistic and artistically-inspiring photos at a single click, catering to millions of users online. To explore how people use gen-AI models such as DALLE and StableDiffusion, it is critical to understand the themes, contents, and variations present in the AI-generated photos. In this work, we introduce TWIGMA (TWItter Generative-ai images with MetadatA), a comprehensive dataset encompassing over 800,000 gen-AI images collected from Jan 2021 to March 2023 on Twitter, with associated metadata (e.g., tweet text, creation date, number of likes). Through a comparative analysis of TWIGMA with natural images and human artwork, we find that gen-AI images possess distinctive characteristics and exhibit, on average, lower variability when compared to their non-gen-AI counterparts. Additionally, we find that the similarity between a gen-AI image and natural images is inversely correlated with the number of likes. Finally, we observe a longitudinal shift in the themes of AI-generated images on Twitter, with users increasingly sharing artistically sophisticated content such as intricate human portraits, whereas their interest in simple subjects such as natural scenes and animals has decreased. Our analyses and findings underscore the significance of TWIGMA as a unique data resource for studying AI-generated images.

A.I., of course--but there were also other, less obvious stories and trends that are going to shape how we understand the news. Media is a famously myopic and sclerotic industry. The big changes that take place within it often go unnoticed, at first, by the people who are paid to set its future course. Sometimes, the stuff that we in the industry miss out on is obvious to the rest of the world. We were not the first to notice, for example, that features and news stories were being cannibalized by social media, slowly at first, and then thoroughly.