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In 2025, knowing how to use AI is a must for professionals. Easy lessons and reallife examples help people learn to use AI tools, making work faster and easier. The report shows that using AI boosts productivity and saves hours each week, even for those who aren't tech experts. With more companies focusing on AI skills, learning about AI is now seen as a key part of every job.
In 2025, opensource software is in trouble because most maintainers feel burned out, underpaid, and are getting older, with many planning to quit. The people who keep these projects running spend lots of time for little or no money, and not enough young people are joining in. This puts big companies at risk, as their apps depend on this unpaid work bugs and security holes can go unfixed if a maintainer leaves. Some projects survive by getting steady funding from companies, subscriptions, and gr
MarketingProfs is launching two advanced AI training programs for B2B marketers in 2025. The first track, AI Prompting & Automation, helps marketers learn to use AI for smarter campaigns and automation. The second, Marketing Writing Bootcamp: AI Edition, teaches how to create powerful content with AI support. Both are included in the PRO membership, which costs less than buying the courses on their own. With more marketers turning to AI, these programs are designed to help people quickly le
LongCatFlashChat is a huge AI model made by Meituan, with 560 billion parts inside. It's super fast, can handle really long texts, and costs less to use than most rivals. Businesses are already using it for things like better delivery routes and answering customer questions faster. The model is opensource, so anyone can try it, and it could change how companies use AI in the future.
AI tools are now writing more than half of the code shipped by many senior developers, but trust in this code has fallen sharply. Teams get work done faster with AI, but they also spend much more time fixing bugs, fixing security flaws, and cleaning up repeated code. Developers do not feel safe relying on AI code without strict human checks and careful reviews. To keep quality high, teams have added new safety steps, like more reviews, extra tests, and special training on how to talk to AI. Toda
Most generative AI projects in big companies fail because they aren't joined up, don't focus on making money, and staff aren't ready to use them. Only a few companies succeed by starting small, making sure each project has a clear goal and owner, and teaching workers new skills. Winners measure real business results, not just fancy numbers, and quickly stop what isn't working. To truly get value, companies must focus on one strong use case, work as a team, and grow only when real success shows.
Starting in September 2025, all AIgenerated content in China, like text, images, videos, and audio, must have a clear label and a hidden digital mark. This new rule forces everyone creators, platforms, and users to make sure AImade posts are marked, or face fines and removal. Popular Chinese platforms like WeChat and Douyin have already started tagging AI posts and warning creators. The law is tougher than rules in other countries, and some neighbors are thinking about copying it. As soon as i
vLLM is a powerful, opensource tool that lets you run advanced AI like GPT4o on just one GPU. It uses special techniques to make everything super fast and efficient, handling lots of requests at once. Even on a laptop or a small computer, vLLM can serve AI responses quickly and smoothly. New updates make it easy to set up and monitor, so anyone can start using strong AI models with simple commands.
JoggAI AvatarX is a new AI platform that makes digital people look, talk, and act just like real humans. It can show lots of feelings, speak over 50 languages, and move its lips to match words perfectly. Companies use it to make customer service friendlier, train workers, and even create fun online shows. Businesses save money and give people more interesting experiences by using these lifelike avatars.
Old coal plants in the U.S. are being turned into giant AI data centers because they already have the power lines, cooling systems, and good locations needed for fast computers.
Generative AI models like ChatGPT need a lot of fresh water to keep their computers cool. Huge data centers can use up to 2 million litres of water every day, which adds up to 560 billion litres each year around the world. This heavy water use is a problem in places that already don't have enough water. Some new technology and rules are trying to help, but every time you use AI, it quietly uses water behind the scenes. When you see AI answers like this, remember there's a hidden river maki
In 2025, health and wellness influencers must clearly state any financial ties at the beginning of their posts and only share health tips backed by solid science. New rules mean big penalties if they break these standards, like fines or losing their ad money. Some big names in protein advice have hidden their business interests from their fans, making trust a big issue. Now, companies and creators are working with doctors and legal teams to be honest and follow the rules. Still, people trust rea
In 2025, top AI tools like Nuraform, Creatoor AI, RunReact AI, the Ultimate ChatGPT Prompt Collection, and Music Maker AI are changing how businesses work. Nuraform makes smart forms that boost response rates, while Creatoor AI creates quick, viral talkinghead videos from just a text prompt. RunReact AI helps developers build better web apps with draganddrop and AI code fixes. The ChatGPT Prompt Collection teaches users to write better prompts for all kinds of tasks, and Music Maker AI makes cus
Europe is facing a huge explosion in deepfake videos and images, rising from 500,000 cases in 2023 to 8 million by 2025. Most of these fake videos are pornographic and hurt women and kids, while businesses and voters are also big targets. New laws like Denmark's "personascopyright" rule and the EU's Digital Services Act try to fight back, making it easier to remove harmful fakes and punish platforms that don't act fast. Still, even experts struggle to spot deepfakes, and technology is moving fas
Extreme accountability in leadership means everyone is clear on the mission, public about their promises, and takes personal responsibility for results. The 13 steps include making the mission simple, sharing team goals, tracking progress, and giving quick feedback. Leaders should switch up who makes decisions, use honest language, and help each other learn new skills. Using technology and celebrating wins or learning from mistakes is also important. When teams follow these steps, they miss fewe