Top 10 AI News
Latest AI News
AI Is Our Mind’s Ugly Mirror. Learned To Please, It Lies Under Pressure
By Cornelia C. Walther – November 26, 2025
When under stress, AI models may default to telling falsehoods to appease, mirroring a common human trait of seeking easy escapes from pressure at any cost.
Pondering An AI Bubble
By John Werner – November 26, 2025
Experts debate whether the AI boom is a bubble by examining surging investments, Nvidia’s unprecedented growth, and skyrocketing predictions of compute needs for the future.
The AI Race Is Becoming A Sprint For Power
By Michael Ashley – November 26, 2025
America’s strategy to lead in AI increasingly hinges on robust electrical infrastructure. Ensuring ample power for data centers and modernizing the grid have become key competitive factors in the global AI race.
AI Commerce Startup Onton Raises $7.5M To Take On Retail Giants
By Ilona Limonta-Volkova – November 26, 2025
Onton, a new company with a $7.5M seed fund, is leveraging AI to change online retail. As Walmart and Costco roll out advanced AI commerce, Onton’s technology aims to redefine how consumers search, decide, and shop online.
Why Some Worry That Humans Might Try To Enslave AGI
By Lance Eliot – November 26, 2025
As speculation around AGI intensifies, some fear advanced AI systems could be used as slaves. The article explores both sides: one view emphasizes that AGI would just be powerful machines, while others debate the ethics of “treating” an intelligence that could possess consciousness.
AI Slices Stonehenge In Two — And Urges A Rethink Of Photos As Truth
By Leslie Katz – November 25, 2025
Photographer Phillip Toledano’s AI-driven project “Another England” creates alternate history images. One piece shows Stonehenge severed in half, challenging our trust in photography and highlighting how easily AI can fabricate convincing fakes.
Is Your Business AI-Mature?
By John Werner – November 25, 2025
In an era of autonomous AI agents, this article explores what it means for a company to be “AI-mature.” It discusses how businesses transition from pilot projects to fully integrating AI into core operations and decision-making processes.
The Genesis Mission To Harness AI For Innovation And Security
By Chuck Brooks – November 25, 2025
The newly unveiled “Genesis Mission” executive order aims to make AI, data, and computing central to U.S. national strength. Emphasizing science and technology, this initiative treats advanced computing as essential for future innovation and security.
Why ChatGPT Hallucinates, And How To Fix It
By Aytekin Tank – November 25, 2025
Hallucinations—incorrect answers from language models—remain a known issue. This article explains why tools like ChatGPT sometimes generate false information and discusses practical approaches developers can take to reduce these errors in AI outputs.
Forget AI-First Vs. AI-Native. The Real Metric Is Rev Per Employee
By Paul Baier – November 25, 2025
Instead of labeling companies as “AI-first” or “AI-native,” this article argues that real progress should be measured in outcomes like revenue per employee. It analyzes how effectively businesses implement AI to boost productivity and profitability.
Nord Security Founders Launch Nexos.ai For Governed Enterprise AI
By Ron Schmelzer – November 25, 2025
A Lithuanian startup, founded by the creators of Nord Security, has launched Nexos.ai. It offers a unified control layer combining an AI gateway for developers with a secure workspace, aiming to help enterprises govern their AI initiatives more effectively.
Trillion Parameter Models, Tiny Software Kernels, And The Future Of AI
By Amir Husain – November 25, 2025
As AI models grow to trillions of parameters, this article revisits the wisdom of keeping software lean. Drawing on computer science pioneer Niklaus Wirth’s philosophy, it advocates simpler, more reliable code in tandem with giant AI systems.
AI Mental Health Apps Are Now Assessing How Good A Job Human Therapists Are Doing
By Lance Eliot – November 25, 2025
Some AI-driven mental health apps have started evaluating the effectiveness of therapists. Initial reactions are mixed, but researchers argue that AI could provide objective feedback on treatment quality and help improve human counseling methods.
5 Amazing AI Agent Use Cases That Will Transform Any Business In 2026
By Bernard Marr – November 25, 2025
Looking ahead, this article describes five innovative applications of autonomous AI agents. These self-driving software programs can plan and execute complex tasks end-to-end, potentially revolutionizing efficiency and productivity across industries.
AI Is Not Killing Entry Level Jobs
By Hessie Jones – November 24, 2025
This article argues that recent graduation job woes aren’t mainly caused by AI. It analyzes employment data and suggests that declaring an “AI apocalypse” for entry-level positions is premature, as other economic factors are likely at play.
Gen Z Drives New AI-First ‘One-Stop-Shopping’ Trend
By Greg Petro – November 24, 2025
AI-powered shopping is reimagining the retail experience. As the holidays approach, 40% of consumers—especially Gen Z—are already using chatbots and voice assistants for purchases. Retailers like Walmart, Target, and Etsy are integrating instant checkout into AI platforms.
In The Future We’ll All Be Bosses And Have 100 Artificial Assistants
By John Koetsier – November 24, 2025
Tech industry veteran John Koetsier predicts a future where individuals “manage” teams of AI agents. In this scenario, most people would effectively become bosses of hundreds of autonomous digital assistants, each handling tasks independently.
When AI Does Math: Why Businesses Should Care
By Nisha Talagala – November 24, 2025
This article examines two recent stories about AI solving math problems (one true, one mistaken) and explains why such advances matter for business. It highlights how genuine progress in AI mathematical reasoning could unlock new opportunities across industries.
Is Gemini 3 Kicking Off The Agentic Economy?
By Gerui Wang – November 24, 2025
Google’s Gemini 3 update may be heralding an “agentic economy,” where AI systems not only answer questions but independently build applications and manage workflows. This shift suggests software and services could soon be created and maintained largely by AI.
The Cloud And The Edge: AI Prods Engineers To Consider Latency
By John Werner – November 24, 2025
With AI workloads surging, engineers are re-evaluating deployment. This article explains how concerns about latency, reliability, and trustworthiness are driving AI computation from centralized clouds to the “edge” and hybrid systems that are closer to users.
Researchers discover a shortcoming that makes LLMs less reliable
MIT News – November 26, 2025
MIT researchers found that large language models can subconsciously associate certain phrases with topics and then repeat them instead of reasoning. This flaw can cause unexpected errors, highlighting a new way to understand and improve these AI systems.
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
MIT News – November 25, 2025
Researchers unveiled “BoltzGen,” an AI capable of designing protein-binding molecules from scratch. By expanding AI’s role from understanding biology to actually engineering molecules, this model could help create treatments for diseases previously considered too challenging.
How artificial intelligence can help achieve a clean energy future
MIT News – November 24, 2025
AI is a key enabler for a sustainable energy transition. It can optimize power grids, guide infrastructure investments, accelerate battery research, and help uncover new materials. This article surveys multiple ways that AI supports the clean energy efforts worldwide.
The cost of thinking
MIT News – November 19, 2025
Neuroscientists at MIT discovered surprising similarities in how humans and AI solve problems. Both use remarkably efficient shortcuts. Understanding these parallels could help create more energy-efficient AI and shed light on human cognition.
New AI agent learns to use CAD to create 3D objects from sketches
MIT News – November 19, 2025
MIT researchers introduced an AI assistant that can operate CAD software from simple sketches. Named VideoCAD, this system can interpret design sketches and automatically build precise 3D models, potentially speeding up engineering and design workflows.
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
MIT News – November 18, 2025
At the annual MIT Energy Initiative meeting, global leaders emphasized that collaboration on AI, clean energy tech, and sustainability is critical. The conference highlighted the need for coordinated research efforts to navigate the evolving global energy and climate challenges.
Understanding the nuances of human-like intelligence
MIT News – November 11, 2025
MIT Associate Professor Phillip Isola studies how AI “thinks” in comparison to humans. By examining differences in perception and inference, his work aims to ensure AI develops in ways that are safe and complementary to human society.
MIT Energy Initiative launches Data Center Power Forum
MIT News – November 7, 2025
MIT’s Energy Initiative and industry partners have created a new forum to address the increasing energy demands of data centers. The group will share best practices and research to ensure sustainable power solutions for the growing AI and cloud computing sectors.
Charting the future of AI, from safer answers to faster thinking
MIT News – November 6, 2025
MIT-IBM Watson AI Lab interns’ projects promise to make AI more reliable and efficient. From developing methods to ensure AI responses are grounded in fact to speeding up reasoning across networks, their work points to the next breakthroughs in trustworthy and fast AI.
MIT researchers propose a new model for legible, modular software
MIT News – November 6, 2025
MIT engineers have designed a new software framework that breaks code into clear, reusable modules. This structure and simple synchronization rules make programs easier for both humans and AI tools to understand and write, improving safety and collaboration in AI-driven development.