Over a year after teasing a next-gen Alexa virtual assistant, Amazon is releasing an AI-powered version called Alexa+. The new personal assistant can do things like order groceries for the household, facilitate event planning, manage smart home utilities and security, and, of course, shop online. “She’s smarter, more conversational, more capable,” according to Amazon SVP of Devices & Services Panos Panay. Strategically priced to entice the AI-curious into Amazon membership, Alexa+ costs $20 per month as a standalone service or comes free with Amazon Prime ($15 per month or $139 per year). Continue reading Amazon’s AI-Powered Alexa+ is Agentic with Computer Vision

Adobe has released a Photoshop mobile app that includes several design, editing and generative AI tools found useful in the desktop version of the popular graphics software. Initially being released globally to iOS users, Adobe says an Android version will be available later this year and that a revamped web app is also in the works. The mobile app includes features like layering, masking and Firefly’s AI-powered generative fill, which has proven popular with users. The iPhone app also ties into the full-featured, Adobe Cloud-based Photoshop so creators can access projects across multiple devices. Continue reading Adobe Introduces a Powerful, Free Photoshop App for Mobile

Barely two weeks after the launch of its OmniHuman-1 AI model, ByteDance has released Goku, a new artificial intelligence designed to create photorealistic video featuring humanoid actors. Goku uses text prompts to create among other things, realistic product videos without the need for human actors. This last is a boon for ByteDance social media unit TikTok. Goku is open source, trained on a large dataset of roughly 36 million video-text pairs and 160 million image-text pairs. Goku’s debut is received as more bad news for OpenAI in the form of added competition, but a positive step for global enterprise. Continue reading ByteDance’s Goku Video Model Is Latest in Chinese AI Streak

Microsoft has unveiled a new AI model called Muse that can generate game visuals and controller actions and understands 3D space. The new model can create complex gameplay sequences with accurate physics and character behaviors. Classified by Microsoft as the first World and Human Action Model (WHAM), Muse was trained from over seven years’ worth of human gameplay data from the Xbox game “Bleeding Edge,” published by UK-based Microsoft Games subsidiary Ninja Theory. Muse can, in addition to game goals, provide research insights to support all sorts of creative use of generative AI, Microsoft says. Continue reading Muse Could Be a Gamechanger for Xbox Players, Developers

YouTube Shorts has upgraded its Dream Screen AI background generator to incorporate Google DeepMind’s latest video model, Veo 2, which will also generate standalone video clips that users can post to Shorts. “Need a specific scene but don’t have the right footage? Want to turn your imagination into reality and tell a unique story? Simply use a text prompt to generate a video clip that fits perfectly into your narrative, or create a whole new world,” coaxes YouTube, which seems to be trying out “Dream Screen” branding as an umbrella for its genAI efforts. Continue reading YouTube Shorts Updates Dream Screen with Google Veo 2 AI

BuzzFeed is launching a new social media platform that aims to fight the tide of content designed primarily to please AI algorithms. BuzzFeed founder and CEO Jonah Peretti described the upcoming service in a “BF Island Manifesto” blog post that blasts SNARF media, an acronym that stands for Stakes, Novelty, Anger, Retention, Fear. “SNARF is the kind of content that evolves when a platform asks an AI to maximize usage,” Peretti writes. “Content creators need to please the AI algorithms or they become irrelevant. Millions of creators make SNARF content to stay in the feed and earn a living.” The nearly 3,000 word manifesto name-checks TikTok and Facebook. Continue reading BuzzFeed Social Platform to Battle Algorithmic Programming

Google announced last week that its Gemini AI chatbot now offers the ability to provide responses based on earlier conversations. It can also summarize a previous chat and recall information the user has shared in other threads. “Whether you’re asking a question about something you’ve already discussed, or asking Gemini to summarize a previous conversation, Gemini now uses information from relevant chats to craft a response,” according to Google. The new feature is rolling out via Google’s $20-per-month One AI Premium Plan to start and will be available to Google Workspace Business and Enterprise customers in the coming weeks. Continue reading Gemini Recalls Previous Chats to Provide Helpful Responses

Thomson Reuters scored a victory defending its intellectual property in the first AI model training case to produce a substantive legal judgment. U.S. District Court of Delaware Judge Stephanos Bibas on Tuesday issued a partial summary judgment for Westlaw parent Thomson Reuters in its copyright infringement case against Ross Intelligence. The court found that after Thomson Reuters refused Ross’ offer to license Westlaw material the startup hired a third-party to procedurally reconstitute the material, resulting in infringement. Ross defenses, including fair use, “all fail,” says the court. Continue reading Round One in Thomson Reuters AI Lawsuit Is a Victory for IP

Amazon is predicting more than $100 billion in capital expenditure for AI in 2025. The majority of that will be invested in the AWS cloud division, according to Amazon President and CEO Andy Jassy, indicating Big Tech is not planning to back down on AI. Amazon’s Q4 profit hit $20 billion, an 88 percent increase over the same period in 2023, and full year profit was $59.2 billion, a 94 percent increase, on revenue of $638 billion, an 11 percent rise. On an earnings call, Jassy said the $26.3 billion in Q4 2024 capex spending “is reasonably representative” of what the company can be expected to spend on an annualized basis this year. Continue reading AWS Cloud Computing Generates Half of Amazon’s Q4 Profits

ByteDance has developed a generative model that can use a single photo to generate photorealistic video of humans in motion. Called OmniHuman-1, the multimodal system supports various visual and audio styles and can generate people doing things like singing, dancing, speaking and moving in a natural fashion. ByteDance says its new technology clears hurdles that hinder existing human-generators — obstacles like short play times and over-reliance on high-quality training data. The diffusion transformer-based OmniHuman addressed those challenges by mixing motion-related conditions into the training phase, a solution ByteDance researchers claim is new. Continue reading ByteDance’s AI Model Can Generate Video from Single Image

The U.S. Copyright Office has released Part 2 of its report on artificial intelligence, dealing with the legal and policy issues pertaining to copyright and generative AI. The two main takeaways are that legal questions concerning copyrightability and AI can be settled using existing federal law, requiring no legislative change. Also, “where AI ‘merely assists’ an author in the creative process, it does not change the copyrightability of the output.” Additionally, it reaffirms that any work created entirely by prompts (content “entirely generated by AI”) cannot be protected by copyright. Continue reading Copyright Office Says AI ‘Assisted’ Content Can Be Protected

Nvidia is hoping interest in artificial intelligence will translate to consumer sales of a relatively low-priced computer optimized for basic AI functionality. Last month, the company upgraded its Jetson line with a $249 “compact AI supercomputer,” the Jetson Orin Nano Super Developer Kit. At half the price of the original, the model aims to attract students, developers, hobbyists, small- and medium-sized businesses, and anyone who is AI curious. “As the AI world is moving from task-specific models into foundation models, it provides an accessible platform to transform ideas into reality,” according to Nvidia. Continue reading Nvidia Targets Consumers with $249 Compact Supercomputer

Samsung has made a tradition of opening CES with a “First Look” event the night before exhibits open in Las Vegas. This year, that January 6 event introduced the theme “AI for All: Everyday, Everywhere,” with artificial intelligence allowing devices like TVs to intuitively (and sometimes autonomously) make choices that enhance our lifestyle. Samsung sees TV as “no longer just a screen, but a companion that enriches your home.” In addition to displays, Samsung also plans to introduce its “Vision AI” technology across various home appliance and mobile devices in 2025. Continue reading CES: Samsung Aims to Bring Its ‘Vision AI’ to TVs and Homes

Billed as a conversation among CMOs, this CES panel — moderated by Consumer Technology Association VP of Marketing & Communications Melissa Harrison — drilled down into how major brands and advertising technology companies are integrating artificial intelligence into their pipelines and organizations. They agreed that, although this is still at the beginning stage and requires experimentation, those who are frozen and have not yet started engaging with AI will quickly be at a learning curve disadvantage. Still, panelists emphasized that AI will not replace human creativity. Continue reading CES: How Brands and Marketers Are Integrating AI, Creativity

During the “Speed, Customization, Innovation: AI in Gaming” panel during CES this week, game publishers and developers shared their latest insights regarding how they use generative AI tools. A prevailing question involved the impact of AI’s ability to generate pixels and video frames efficiently — especially in light of Nvidia’s keynote the prior evening announcing its new Blackwell RTX 50 Series GPUs’ enormous ability to do so. Other opinions shared during the panel included thoughts on whether AI is overhyped for gaming and wish lists for fixing the limitations of AI tools. Continue reading CES: Thoughts on the Benefits and Limitations of AI in Gaming